Large-scale CRISPR screening in primary human 3D gastric organoids enables comprehensive dissection of gene-drug interactions
Open accessAbstract
Understanding how genes influence drug responses is critical for advancing personalized cancer treatments. However, identifying these gene-drug interactions in a physiologically relevant human system remains a challenge, as it requires a model that reflects the complexity and heterogeneity among individuals. Here we show that large-scale CRISPR-based genetic screens, including knockout, interference (CRISPRi), activation (CRISPRa), and single-cell approaches, can be applied in primary human 3D gastric organoids to systematically identify genes that affect sensitivity to cisplatin. Our screens uncover genes that modulate cisplatin response. By combining CRISPR perturbations with single-cell transcriptomics, we resolve how genetic alterations interact with cisplatin at the level of individual cells and uncover an unexpected link between fucosylation and cisplatin sensitivity. We identify TAF6L as a regulator of cell recovery from cisplatin-induced cytotoxicity. These results highlight the utility of human organoid models for dissecting gene-drug interactions and offer insights into therapeutic vulnerabilities in gastric cancer. CRISPR-Cas9-based screens have allowed the study of gene-drug interactions. Here, the authors develop CRISPR-Cas9 knock-out, activation and repression screens in human gastric 3D organoids, also integrating single-cell CRISPR screens, to identify genes involved in the response to cisplatin in gastric cancer.
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TL;DR
This paper establishes large-scale CRISPR knockout, CRISPRi, CRISPRa, and single-cell Perturb-seq screens in primary human 3D gastric organoids to dissect gene-drug interactions with cisplatin. It identifies known and previously unappreciated cisplatin sensitization pathways, links fucosylation/GMDS to cisplatin response, and nominates TAF6L as a regulator of proliferation during recovery from cisplatin-induced cytotoxicity.
Key findings
- A pilot CRISPR KO screen in Cas9-expressing TP53/APC DKO gastric organoids used 12,461 sgRNAs targeting 1093 membrane proteins plus 750 non-targeting controls, achieved 99.9% library representation at T0, and identified 68 significant drop-out genes; LRIG1 depletion was the top growth-advantage hit, and CD151, KIAA1524, TEX10, and RPRD1B were independently validated as growth-defect hits.
- Custom iCRISPRi and iCRISPRa screens targeting 1952 DNA/RNA-binding genes (~12,500 sgRNAs, 5 sgRNAs/gene) with cisplatin (IC50 1.6 μg/mL, 24 h, 5 days recovery, 4 cycles) identified 41 iCRISPRi cisplatin sensitization hits and 9 persistence hits, plus 9 iCRISPRa sensitization genes; 14 of the sensitization hits were DNA repair genes, and 9 of 14 randomly selected hits validated as cisplatin sensitizers.
- Perturb-seq captured 20,414 iCRISPRi cells and 9,026 iCRISPRa cells (average 142 and 198 cells/sgRNA, respectively); cisplatin-treated NER and HRR knockdown cells converged transcriptionally, and ERCC4/ERCC6/ERCC8 knockdown plus cisplatin synergistically repressed GMDS, linking fucosylation to cisplatin response.
- TAF6L knockdown reduced TAF6L expression by 85%, increased cisplatin sensitivity, and reduced EdU+ cells from 18.1% to 8.0% at baseline and to ~1% after cisplatin; TAF6L-GFP expression protected organoids and maintained 4.8% EdU+ cells after cisplatin, while TAF6L loss decreased 36,658 ATAC peaks and increased only 28.
Methods
- Primary human gastric organoids were derived from surgical discards under an approved Stanford IRB protocol and engineered into TP53/APC double-knockout tumor organoids; stable Cas9, inducible dCas9-KRAB (iCRISPRi), and dCas9-VPR (iCRISPRa) lines were generated by lentiviral transduction.
- Screens were performed as two independent experiments with separate lentiviral transductions; CRISPR KO, iCRISPRi, and iCRISPRa libraries were transduced at ~25–30% infection to achieve ≥1000× coverage, and cisplatin-treated arms received repeated IC50 cisplatin cycles before sgRNA abundance was measured by deep sequencing.
- Perturb-seq used targeted sgRNA libraries against selected screen hits, doxycycline induction, vehicle or cisplatin treatment, FACS isolation of mCherry+/BFP+ cells, 10X Genomics scRNA-seq, Cell Ranger alignment, and custom Python analyses including random forest classifiers, GSEA, and cell-cycle scoring; ATAC-seq and RNA-seq were also used for TAF6L mechanistic studies.
Limitations
- The paper states that 3D screens are more costly and technically demanding than 2D screens, organoids retain heterogeneous cell populations, variability can occur between organoid lines and regional origins, and direct comparisons across 2D vs. 3D systems or different libraries/pipelines may not be appropriate.
- The paper states that CRISPRa screens are inherently less reproducible than CRISPRi or knockout screens, consistent with lower replicate correlation in the iCRISPRa data, and that the oncogene-engineered organoids represent a pre-cancerous stage, so dependencies may differ from established tumors.
- The text also makes evident that the precise molecular mechanism of TAF6L in cisplatin recovery remains to be elucidated, and the study reports no blinding of investigators during experiments or outcome assessment.
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Claims the paper makes
52 of 61 cited sources checked · 31 supported · 0 flagged · accuracy not yet measured
- Findingown data
Depletion of tumor suppressor LRIG1 was identified as the top hit contributing to increased cell proliferation.
“Notably, the depletion of tumor suppressor LRIG1, a negative regulator of ERBB receptor tyrosine kinases40–42, was identified as the top hit contributing to increased cell proliferation (Fig. 1D).”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [40] Powell, A. E. et al. The pan-ErbB negative regulator Lrig1 is an intestinal stem cell marker that functions as a tumor suppressor. Cell 149, 146–158 (2012). source
- cites [41] Wang, Y. et al. Loss of Lrig1 leads to expansion of Brunner glands followed by duodenal adenomas with gastric metaplasia. Am. J. Pathol. 185, 1123–1134 (2015). source
- cites [42] Yu, S. et al. Expression of LRIG1, a negative regulator of EGFR, is dynamically altered during different stages of gastric carcinogenesis. Am. J. Pathol. 188, 2912–2923 (2018). source
- Findingcitation
Several mRNA 3′ end processing factors and RNA-binding proteins, such as CPSF2, ZFP36L2, and SRSF7, were identified among cisplatin sensitization hits.
“In addition, in agreement with the importance of pre-mRNA processing factors in the DNA damage response46, several mRNA 3′ end processing factors and RNA-binding proteins were identified, such as CPSF2, ZFP36L2, and SRSF7.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [46] Montecucco, A. & Biamonti, G. Pre-mRNA processing factors meet the DNA damage response. Front. Genet. 4, 102 (2013). source
- Findingown data
ELOF1 and LEO1 were identified among cisplatin sensitization hits.
“Notably, ELOF1, a recently identified transcription elongation factor that plays an important role in transcription-coupled nucleotide-excision repair47, and LEO1, a subunit of the polymerase-associated factor 1 (Paf1) complex RNA polymerase that is required for RNA polymerase II removal in response to DNA damage, were identified48,49.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [47] van der Weegen, Y. et al. ELOF1 is a transcription-coupled DNA repair factor that directs RNA polymerase II ubiquitylation. Nat. Cell Biol. 23, 595–607 (2021). source
In Results, ‘A CRISPR screen identifies ELOF1 as a putative TCR gene’ (page not provided), ELOF1 was a hit in an Illudin S screen, and ELOF1-knockout cells were sensitive to cisplatin in a separate drug-sensitivity assay. The cited paper does not establish that ELOF1 was a cisplatin-screen hit or identify LEO1 as one. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [48] Tiwari, V., Kulikowicz, T., Wilson, D. M. 3rd & Bohr, V. A. LEO1 is a partner for Cockayne syndrome protein B (CSB) in response to transcription-blocking DNA damage. Nucleic Acids Res. 49, 6331–6346 (2021). source
In “LEO1 deficiency increases sensitivity to certain genotoxins” (page not available), the paper reports that LEO1-deficient cells were significantly more sensitive to cisplatin. It does not identify ELOF1 or report that either gene was a hit in a cisplatin-sensitization screen; the citing sentence appears to present that identification as the citing authors’ own finding. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [49] Chen, F., Liu, B., Zhou, H. & Long, J. The Paf1 complex is required for RNA polymerase II removal in response to DNA damage. Proc. Natl. Acad. Sci. USA 119, e2207332119 (2022). source
The Results sections on Paf1/Leo1 describe Leo1’s role in RNA polymerase II removal after DNA damage, but do not report a cisplatin-sensitization screen or identify ELOF1 and LEO1 as hits. Searches for cisplatin sensitivity, sensitization hits, and ELOF1 found no passage addressing that claim. The cited paper does support the separate description of LEO1’s role in the citing sentence. (LLM, conf=0.73)
Experimental — accuracy not yet measured
- Premisecitation
The TP53/APC double knockout (DKO) organoid line was established by sequentially disrupting TP53 and APC from non-neoplastic human gastric organoids.
“The TP53/APC double knockout (DKO) organoid line was established in our previous studies by sequentially disrupting TP53 and APC37, two common oncogenic loci in gastric adenocarcinoma38,39, from non-neoplastic human gastric organoids (Fig. S1A).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [37] Karlsson, K. et al. Deterministic evolution and stringent selection during preneoplasia. Nature 618, 383–393 (2023). source
In “TP53–/– induces CNAs in defined orders” (page not provided), the paper says it established organoids from non-malignant human gastric tissue and engineered TP53 and APC inactivation in two cultures. It describes the APC hit as “concurrently engineered,” however, so it does not support the claimed sequential disruption. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [38] Cancer Genome Atlas Research Network. Comprehensive molecular characterization of gastric adenocarcinoma. Nature 513, 202–209 (2014). source
- cites [39] Cristescu, R. et al. Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes. Nat. Med. 21, 449–456 (2015). source
- Premisecitation
Cas9 integration enhances CRISPR knockout efficiency in gastric organoids.
“Building on our previous study that Cas9 integration enhances CRISPR knockout efficiency in gastric organoids9, we first generated stable Cas9-expressing TP53/APC DKO organoids”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [9] Lo, Y. H. et al. A CRISPR/Cas9-engineered ARID1A-deficient human gastric cancer organoid model reveals essential and nonessential modes of oncogenic transformation. Cancer Discov. 11, 1562–1581 (2021). source
- Findingcitation
Many genes identified from iCRISPRi pooled screens in 3D human gastric organoids were not determined as cisplatin sensitization partners in previous genome-scale CRISPR KO screens in immortalized 2D human cell lines.
“In particular, many genes identified from our iCRISPRi pooled screens in 3D human gastric organoids were not determined as cisplatin sensitization partners in previous genome-scale CRISPR KO screens in immortalized 2D human cell lines51, suggesting potential 3D specificity (Fig. S6A).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [51] Olivieri, M. et al. A genetic map of the response to DNA damage in human cells. Cell 182, 481–496.e421 (2020). source
- Findingown data
High sgRNA and transcript capture rates indicated comparable quality in organoids to previous datasets in various cell lines.
“Moreover, high sgRNA and transcript capture rates indicated a comparable quality in organoids to previous datasets in various cell lines32,50 (Fig. S5D, E).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [32] Adamson, B. et al. A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell 167, 1867–1882.e1821 (2016). source
- cites [50] Replogle, J. M. et al. Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nat. Biotechnol. 38, 954–961 (2020). source
- Premisecitation
Recent studies have shown that phenotypes associated with CRISPR-mediated knockout of putative oncogenic loci are more pronounced when cancer cells are grown as 3D spheroids than 2D monolayers.
“Recent studies have shown that phenotypes associated with CRISPR-mediated knockout of putative oncogenic loci are more pronounced when cancer cells are grown as 3D spheroids than 2D monolayers, suggesting that 3D culture systems may be particularly useful for uncovering cancer vulnerabilities55.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [55] Han, K. et al. CRISPR screens in cancer spheroids identify 3D growth-specific vulnerabilities. Nature 580, 136–141 (2020). source
- Premisecitation
CRISPRa-based screens are inherently less reproducible than CRISPRi or knockout screens.
“In addition, CRISPRa-based screens are inherently less reproducible than CRISPRi or knockout screens43.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [43] Sanson, K. R. et al. Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities. Nat. Commun. 9, 5416 (2018). source
The Results section (‘Optimized genome-wide CRISPRa library’; page unavailable) reports low replicate correlations in specific CRISPRa resistance screens, but says low correlation is generally expected in positive-selection screens. It does not establish that CRISPRa is inherently less reproducible than CRISPRi or knockout screens. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Our oncogene-engineered human tumor organoids represent a pre-cancerous stage.
“Finally, our oncogene-engineered human tumor organoids represent a pre-cancerous stage9,37, meaning the gene-specific dependencies and biological processes identified may be distinct to early cancer development as opposed to established tumors.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [9] Lo, Y. H. et al. A CRISPR/Cas9-engineered ARID1A-deficient human gastric cancer organoid model reveals essential and nonessential modes of oncogenic transformation. Cancer Discov. 11, 1562–1581 (2021). source
- cites [37] Karlsson, K. et al. Deterministic evolution and stringent selection during preneoplasia. Nature 618, 383–393 (2023). source
The Main section describes CRISPR-engineered human gastric organoids used to model preneoplasia, and the Discussion says the TP53-deficient organoids recapitulate occult preneoplasia. That supports the use of engineered human organoids as a pre-cancer model, but the paper does not establish that the citing authors’ own oncogene-engineered tumor organoids are at that stage. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Findingown data
There is an unexpected link between fucosylation and cisplatin sensitivity.
“uncover an unexpected link between fucosylation and cisplatin sensitivity”
Quote in the paperSubstantial claim - Findingown data
Combining CRISPR perturbations with single-cell transcriptomics resolves how genetic alterations interact with cisplatin at the level of individual cells.
“By combining CRISPR perturbations with single-cell transcriptomics, we resolve how genetic alterations interact with cisplatin at the level of individual cells”
Quote in the paperSubstantial claim - Findingown data
The screens uncover genes that modulate cisplatin response.
“Our screens uncover genes that modulate cisplatin response.”
Quote in the paperSubstantial claim - Findingown data
Large-scale CRISPR-based genetic screens, including knockout, CRISPRi, CRISPRa, and single-cell approaches, can be applied in primary human 3D gastric organoids to systematically identify genes that affect sensitivity to cisplatin.
“Here we show that large-scale CRISPR-based genetic screens, including knockout, interference (CRISPRi), activation (CRISPRa), and single-cell approaches, can be applied in primary human 3D gastric organoids to systematically identify genes that affect sensitivity to cisplatin.”
Quote in the paperSubstantial claim - Findingown data
TAF6L is a regulator of cell recovery from cisplatin-induced cytotoxicity.
“We identify TAF6L as a regulator of cell recovery from cisplatin-induced cytotoxicity.”
Quote in the paperSubstantial claim - Findingown data
iCRISPRi-sgCXCR4 organoids exhibited a decreased CXCR4-positive population (3.3%) compared to parental iCRISPRi organoids (13.1%) five days post-induction.
“Five days post-induction, iCRISPRi-sgCXCR4 organoids exhibited a decreased CXCR4-positive population (3.3%) compared to the parental iCRISPRi organoids (13.1%) (Fig. 2D).”
Quote in the paperSubstantial claim - Findingown data
A systematic approach enables a full suite of high-representation CRISPR-based genetic screens (CRISPR cutting, CRISPRi, CRISPRa, and single-cell CRISPR screens) to study gene-drug interactions in organoids using oncogene-engineered human gastric tumor models.
“Here, we report a systematic approach that enables a full suite of high-representation CRISPR-based genetic screens, including CRISPR cutting, CRISPRi, CRISPRa, and single-cell CRISPR screens, to study gene-drug interactions in organoids, using oncogene-engineered human gastric tumor models.”
Quote in the paperSubstantial claim- Rests on an assumption: The feasibility of using CRISPR screens in 3D human organoids to investigate gene-drug interactions remains to be fully established.
- Findingown data
The data reveal DNA repair pathway-specific transcriptomic convergence in cisplatin-treated organoids, manifested by distinct high-dimensional gene expression profiles and growth phenotypes.
“Coupled with single-cell CRISPR screens, our data reveal DNA repair pathway-specific transcriptomic convergence in cisplatin-treated organoids, manifested by distinct high-dimensional gene expression profiles and growth phenotypes.”
Quote in the paperSubstantial claim - Findingown data
Only a few genes showed increased sgRNA abundance, indicating a growth advantage phenotype upon knockout.
“In contrast, only a few genes showed increased sgRNA abundance, indicating a growth advantage phenotype upon knockout (Supplementary Data 2).”
Quote in the paperNot a substantial claim - Findingown data
The CXCR4-positive population increased in iCRISPRa-sgCXCR4 organoids (57.6%).
“In contrast, the CXCR4-positive population increased in iCRISPRa-sgCXCR4 organoids (57.6%) (Fig. 2D).”
Quote in the paperSubstantial claim - Findingown data
The study identifies previously unappreciated genes that contribute to cell growth and sensitivity to cisplatin in gastric cancers.
“Specifically, we identify previously unappreciated genes that contribute to cell growth and sensitivity to the chemotherapy drug cisplatin in gastric cancers.”
Quote in the paperSubstantial claim - Findingown data
TAF6L is a key gene involved in cell proliferation during the recovery phase following cisplatin-induced DNA damage.
“We identified TAF6L as a key gene involved in cell proliferation during the recovery phase following cisplatin-induced DNA damage.”
Quote in the paperSubstantial claim - Findingown data
The 68 drop-out genes were enriched in pathways related to essential biological processes such as transcription, RNA processing, and nucleic acid metabolic processes.
“These genes were enriched in pathways related to essential biological processes such as transcription, RNA processing, and nucleic acid metabolic processes (Fig. 1E).”
Quote in the paperNot a substantial claim - Findingown data
The iCRISPRa screen identified 9 cisplatin sensitization genes whose overexpression conferred drug sensitivity.
“After this normalization, we identified 9 cisplatin sensitization genes whose overexpression in the iCRISPRa screen conferred drug sensitivity (Figs. 3C and S3B; Supplementary Data 6).”
Quote in the paperSubstantial claim - Findingown data
Inhibition of DNA repair genes ERCC6, ERCC4, and GTF2H5 conferred cisplatin sensitivity.
“As expected, inhibition of DNA repair genes, such as ERCC6, ERCC4, and GTF2H5, conferred cisplatin sensitivity (Fig. 3E).”
Quote in the paperSubstantial claim - Findingown data
There is an unexpected functional connection between protein fucosylation and cisplatin sensitivity.
“We uncovered an unexpected functional connection between protein fucosylation and cisplatin sensitivity.”
Quote in the paperSubstantial claim - Findingown data
Individual sgRNAs targeting the SOX2 promoter were sufficient to inhibit or enhance SOX2 expression in iCRISPRi and iCRISPRa organoids, respectively.
“Moreover, individual sgRNAs targeting the promoter of the transcription factor SOX2 were sufficient to inhibit (iCRISPRi-sgSOX2) or enhance (iCRISPRa-sgSOX2) SOX2 expression (Fig. 2E).”
Quote in the paperSubstantial claim - Findingown data
14 genes among the cisplatin sensitization hits were key components of DNA repair pathways, including nucleotide-excision repair (ERCC6, ERCC4, XPA, ELOF1, GTF2H5, ERCC8), homologous recombination repair (BRCA1, HELQ, MCM9), and Fanconi anemia (SETD1A, BRCA2, FAN1, BOD1L1) pathways.
“14 genes were key components of DNA repair pathways, including nucleotide-excision repair (NER genes, ERCC6, ERCC4, XPA, ELOF1, GTF2H5, and ERCC8), homologous recombination repair (HRR genes, BRCA1, HELQ, and MCM9), and Fanconi anemia (FA genes, SETD1A, BRCA2, FAN1, and BOD1L1) pathways.”
Quote in the paperSubstantial claim - Findingown data
The cisplatin-naïve iCRISPRi screen yielded 394 hits (384 growth defects and 10 growth advantages) that exhibited a cell growth phenotype.
“The cisplatin-naïve iCRISPRi screen yielded 394 hits (384 growth defects and 10 growth advantages) that exhibited a cell growth phenotype (Fig. 3B; Supplementary Data. 5).”
Quote in the paperSubstantial claim - Findingown data
Control sgRNAs were clustered around zero (no phenotype) in the gene-level phenotype score.
“The gene-level phenotype score (see “Methods”) indicated that control sgRNAs were clustered around zero (no phenotype) (Fig. 1D).”
Quote in the paperSubstantial claim - Findingown data
ELOF1, LEO1, and ZNF677 were reconfirmed as cisplatin sensitization hits.
“Moreover, ELOF1, LEO1, and a previously underexplored gene, ZNF677, from the primary screen were successfully reconfirmed as cisplatin sensitization hits (Fig. 3F).”
Quote in the paperNot a substantial claim - Findingown data
Depletion of CD151, KIAA1524, TEX10, and RPRD1B reproduced the growth defect phenotype compared to control organoids.
“Compared to control organoids harboring a negative control sgRNA, the depletion of all four selected genes reproduced the growth defect phenotype (Figs. 1F and S1D).”
Quote in the paperSubstantial claim - Findingown data
Among the growth defect hits, gene sets controlling essential biological processes such as RNA catabolism, telomere maintenance, DNA biosynthesis, and cell cycle were enriched.
“Among the growth defect hits, gene sets controlling essential biological processes, such as RNA catabolism, telomere maintenance, DNA biosynthesis, and cell cycle, were enriched (Fig. S2E).”
Quote in the paperNot a substantial claim - Findingown data
A significant reduction of the same gene sets was often observed in individual CRISPRa cells exhibiting growth defects, such as those with ZBTB7A and HHEX sgRNAs.
“As expected, a significant reduction of the same gene sets was often observed in individual CRISPRa cells exhibiting growth defects, such as those with ZBTB7A and HHEX sgRNAs (Fig. 4F).”
Quote in the paperNot a substantial claim - Findingown data
TAF6L knockdown reduced the EdU+ cell population to an average of 8.0% compared to control organoids (18.1% EdU+ on average).
“However, TAF6L knockdown reduced the EdU+ cell population to an average of 8.0% compared to control organoids (18.1% EdU+ on average), indicating that TAF6L depletion inhibited cell proliferation.”
Quote in the paperSubstantial claim - Findingown data
A strong defective signature of purine biosynthetic pathways was identified in iCRISPRa-sgHHEX cells, suggesting a potential metabolic component underlying HHEX overexpression-induced S phase arrest.
“Notably, a strong defective signature of purine biosynthetic pathways was identified in iCRISPRa-sgHHEX cells, suggesting a potential metabolic component underlying HHEX overexpression-induced S phase arrest (Fig. 4F).”
Quote in the paperNot a substantial claim - Findingown data
Under TAF6L knockdown conditions, only about 1% of cells remained EdU+ following cisplatin treatment.
“Under TAF6L knockdown conditions, only about 1% of cells remained EdU+ following cisplatin treatment.”
Quote in the paperSubstantial claim - Findingown data
TAF6L knockdown increased sensitivity to cisplatin compared to control organoids carrying a non-targeting sgRNA.
“Consistent with the primary iCRISPRi screen, TAF6L knockdown increased sensitivity to cisplatin compared to the control organoids carrying a non-targeting sgRNA (Fig. 6B).”
Quote in the paperSubstantial claim - Findingown data
GMDS expression effectively rescued the suppressed GMDS levels in cisplatin-treated organoids.
“Furthermore, GMDS expression effectively rescued the suppressed GMDS levels in cisplatin-treated organoids (Fig. S7E) and resulted in GMDS OE organoids exhibiting an increased sensitivity to cisplatin treatment (Fig. 5G), accompanied by an increase in nuclear phospho-H2AX (γH2AX) (Fig. 5H).”
Quote in the paperSubstantial claim - Findingown data
GO enrichment analysis of upregulated genes in TAF6L knockdown organoids revealed key biological processes such as triglyceride metabolic process, cholesterol transport, and endoplasmic reticulum lumen.
“GO enrichment analysis of the upregulated genes in TAF6L knockdown organoids revealed several key biological processes, such as triglyceride metabolic process, cholesterol transport, and endoplasmic reticulum lumen (Fig. S9A).”
Quote in the paperNot a substantial claim - Findingown data
Ectopic expression of TAF6L-GFP protected the organoids from cisplatin-induced cell death.
“As expected, ectopic expression of TAF6L-GFP protected the organoids from cisplatin-induced cell death (Fig. 6D).”
Quote in the paperSubstantial claim - Findingown data
No significant changes in RAD51, FANCD2, or ubiquitinated FANCD2 (Ub-FANCD2) expression were observed in TAF6L knockdown or TAF6L-GFP organoids.
“However, we did not observe significant changes in RAD51, FANCD2, or ubiquitinated FANCD2 (Ub-FANCD2) expression in TAF6L knockdown or TAG6L-GFP organoids (Fig. S8B, C), suggesting that TAF6L does not directly regulate DNA repair signaling activity.”
Quote in the paperSubstantial claim - Findingown data
GMDS OE organoids did not compromise the baseline viability of parental organoids in the absence of cisplatin.
“Notably, GMDS OE organoids did not compromise the baseline viability of parental organoids in the absence of cisplatin (Fig. S7F), further ruling out nonspecific toxicity associated with elevated GMDS levels.”
Quote in the paperSubstantial claim - Findingown data
The combination of ERCC4/cisplatin, ERCC6/cisplatin, and ERCC8/cisplatin all synergistically and profoundly repressed GMDS upon single-cell CRISPR analysis to a much greater extent than predicted by the additive model.
“Interestingly, the combination of ERCC4/cisplatin, ERCC6/cisplatin, and ERCC8/cisplatin all synergistically and profoundly repressed GMDS upon single-cell CRISPR analysis to a much greater extent than predicted by the additive model (Figs. 5C and S7A; Supplementary Data 9).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The additive model (sum of single-perturbation effects) is an appropriate null for identifying synergistic gene-drug interactions.
- Findingown data
TAF6L did not cluster with NER- or HRR-specific groups in single-cell CRISPR results.
“This was consistent with the single-cell CRISPR results (Fig. 5), as TAF6L did not cluster with NER- or HRR-specific groups, indicating that other mechanisms may be at play.”
Quote in the paperSubstantial claim - Findingown data
Heatmap hierarchical clustering of transcriptional profiles revealed correlations of individual genetic perturbations, uncovering functional gene clusters.
“Finally, the heatmap hierarchical clustering of transcriptional profiles revealed correlations of individual genetic perturbations, uncovering functional gene clusters (Fig. 4C).”
Quote in the paperNot a substantial claim - Findingown data
Among significantly reduced ATAC peaks in promoter regions, the peak located at the TAF6L promoter ranked as the 1st peak.
“Of note, among the significantly reduced ATAC peaks in promoter regions, the peak located at the TAF6L promoter ranked as the 1st peak (Fig. S9D), consistent with a strong autoregulatory effect at the TAF6L promoter.”
Quote in the paperNot a substantial claim - Findingown data
The results demonstrated the feasibility of conducting large-scale CRISPR screens with high representation (>1000× coverage) in human 3D organoids across three different CRISPR platforms: CRISPR cutting, CRISPRi, and CRISPRa.
“Our results demonstrated the feasibility of conducting large-scale CRISPR screens with high representation (>1000× coverage) in human 3D organoids across three different CRISPR platforms: CRISPR cutting, CRISPRi, and CRISPRa.”
Quote in the paperSubstantial claim - Findingown data
The combination of ERCC4 knockdown and cisplatin treatment strongly inhibited reactivity to fucose-recognizing AAL and UEA-I, revealing a decrease of total cellular fucosylated proteins.
“Consistent with the single-cell CRISPR screening result, the combination of ERCC4 knockdown and cisplatin treatment strongly inhibited reactivity to fucose-recognizing Aleuria aurantia lectin (AAL) (Fig. 5D) and Ulex europaeus agglutinin I (UEA-I) (Fig. S7C), revealing a decrease of total cellular fucosylated proteins.”
Quote in the paperSubstantial claim- Rests on an assumption: GDP-fucose is the sole donor for protein fucosylation, a critical glycan modification for numerous membrane and secreted proteins.
- Findingown data
UMAP analysis indicated distinct clusters grouped by individual targeting sgRNAs.
“The UMAP analysis indicated distinct clusters, grouped by individual targeting sgRNAs (Fig. 4D).”
Quote in the paperSubstantial claim - Findingown data
GMDS OE organoids showed an increase in nuclear phospho-H2AX (γH2AX).
“Furthermore, GMDS expression effectively rescued the suppressed GMDS levels in cisplatin-treated organoids (Fig. S7E) and resulted in GMDS OE organoids exhibiting an increased sensitivity to cisplatin treatment (Fig. 5G), accompanied by an increase in nuclear phospho-H2AX (γH2AX) (Fig. 5H).”
Quote in the paperSubstantial claim - Findingown data
Cisplatin-treated organoids exhibited highly convergent transcriptional signatures of NER or HRR pathways upon inhibition of cisplatin sensitization genes.
“By contrast, cisplatin-treated organoids exhibited highly convergent transcriptional signatures of NER or HRR pathways upon inhibition of cisplatin sensitization genes.”
Quote in the paperSubstantial claim - Findingown data
Several GO terms related to cell proliferation were identified in TAF6L knockdown or TAF6L-GFP organoids.
“However, in agreement with our conclusion that TAF6L regulates cell proliferation, several GO terms related to cell proliferation were identified (Fig. S9C).”
Quote in the paperNot a substantial claim - Findingown data
ZKSCAN2 knockdown causes a growth defect phenotype.
“To identify potential previously uncharacterized genes involved in cisplatin sensitivity, we focused on TAF6L, as it is the highest-ranking unreported cisplatin sensitization hit identified from our CRISPR screens (Fig. 3D), aside from ZKSCAN2, whose knockdown causes a growth defect phenotype (Fig. S4B).”
Quote in the paperSubstantial claim - Findingown data
GSEA revealed enrichment of translation, DNA replication, cell cycle progression, gene expression, and telomere maintenance in MYC-overexpressing single cells.
“In addition, consistent with the growth advantage phenotype of MYC-overexpressing single cells, the gene set enrichment analysis (GSEA) revealed enrichment of translation, DNA replication, cell cycle progression, gene expression, and telomere maintenance (Fig. 4F).”
Quote in the paperNot a substantial claim - Findingown data
The cisplatin-naïve organoids in the iCRISPRi single-cell CRISPR screen revealed substantial heterogeneity upon individual genetic knockdowns.
“The cisplatin-naïve organoids in the iCRISPRi single-cell CRISPR screen revealed substantial heterogeneity upon individual genetic knockdowns (Fig. 5A).”
Quote in the paperSubstantial claim - Findingown data
Cells transduced with sgRNAs targeting MYC showed increased mitotic M-phase populations.
“By decomposing the cell cycle states of individual cells based on single-cell transcriptomes, we observed increased mitotic M-phase populations in cells transduced with sgRNAs targeting MYC, consistent with its known oncogenic properties (Fig. 4E).”
Quote in the paperNot a substantial claim - Findingown data
No significant GO terms related to the DNA damage response were identified in TAF6L knockdown or TAF6L-GFP organoids.
“We did not identify any significant GO terms related to the DNA damage response, suggesting that TAF6L does not directly regulate the expression of DNA repair genes or other related genes.”
Quote in the paperSubstantial claim - Findingown data
TAF6L-GFP expression did not cause notable changes in chromatin accessibility, with only 7 ATAC peaks increasing and 28 decreasing.
“In contrast, TAF6L-GFP expression did not cause notable changes in chromatin accessibility, with only 7 ATAC peaks increasing and 28 decreasing (Fig. 6G; Supplementary Data 13).”
Quote in the paperNot a substantial claim - Findingown data
After 48 h of cisplatin treatment, the EdU+ cell population significantly decreased from an average of 18.1% to 3.6% in control organoid lines.
“After 48 h of cisplatin treatment, the EdU+ cell population significantly decreased from an average of 18.1% to 3.6% in control organoid lines (Figs. 6E and S8D).”
Quote in the paperSubstantial claim - Findingown data
GMDS expression was sufficient to induce total cellular protein fucosylation.
“As expected, GMDS expression was sufficient to induce total cellular protein fucosylation (Fig. 5F).”
Quote in the paperSubstantial claim- Rests on an assumption: GDP-fucose is the sole donor for protein fucosylation, a critical glycan modification for numerous membrane and secreted proteins.
- Findingown data
Cisplatin-treated transcriptomes of ERCC4, ERCC6, ERCC8, GTF2H5, and ELOF1 iCRISPRi knockdown cells strongly clustered.
“Indeed, cisplatin-treated transcriptomes of the ERCC4, ERCC6, ERCC8, GTF2H5, and ELOF1 iCRISPRi knockdown cells strongly clustered (Fig. 5B), consistent with the common involvement of these genes in NER.”
Quote in the paperSubstantial claim - Findingown data
After doxycycline induction, TAF6L expression was reduced by 85% in the stable TAF6L iCRISPRi knockdown organoid line.
“After doxycycline induction, TAF6L expression was reduced by 85% (Fig. 6A).”
Quote in the paperSubstantial claim - Findingown data
The analysis identified numerous gene-drug interactions in which the sgRNA and cisplatin combination synergistically repressed or activated downstream loci much more in actual scRNA-seq data than predicted by the additive model.
“This analysis identified numerous gene-drug interactions in which the sgRNA and cisplatin combination synergistically repressed or activated downstream loci much more in the actual scRNA-seq data (condition 4) than would be predicted by the additive model (condition 3).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The additive model (sum of single-perturbation effects) is an appropriate null for identifying synergistic gene-drug interactions.
- Findingown data
TAF6L is the highest-ranking unreported cisplatin sensitization hit identified from the CRISPR screens, aside from ZKSCAN2.
“To identify potential previously uncharacterized genes involved in cisplatin sensitivity, we focused on TAF6L, as it is the highest-ranking unreported cisplatin sensitization hit identified from our CRISPR screens (Fig. 3D), aside from ZKSCAN2, whose knockdown causes a growth defect phenotype (Fig. S4B).”
Quote in the paperSubstantial claim - Findingown data
Cisplatin treatment decreased GMDS expression.
“Consistent with the Perturb-seq data (Fig. 5C), cisplatin treatment decreased GMDS expression (Fig. 5E).”
Quote in the paperSubstantial claim - Findingown data
Upon hierarchical clustering, the transcriptomes of NER and HRR locus knockdown cells in cisplatin-naïve organoids were substantially intermixed rather than segregating to NER- or HRR-specific clusters.
“In fact, upon hierarchical clustering, the transcriptomes of NER and HRR locus knockdown cells were substantially intermixed rather than segregating to NER- or HRR-specific clusters (Fig. 5A).”
Quote in the paperSubstantial claim - Findingown data
GMDS was also synergistically repressed by the combination of cisplatin with either ZKSCAN2 or LEO1 sgRNA.
“As GMDS was also synergistically repressed by the combination of cisplatin with either ZKSCAN2 or LEO1 sgRNA, it is conceivable that these loci are unsuspected participants in NER.”
Quote in the paperSubstantial claim - Findingown data
TAF6L knockdown resulted in a dramatic decrease in ATAC-seq peaks compared with control iCRISPRi organoids carrying non-targeting sgRNA.
“Surprisingly, TAF6L knockdown resulted in a dramatic decrease in ATAC-seq peaks compared with control iCRISPRi organoids carrying non-targeting sgRNA.”
Quote in the paperSubstantial claim - Findingown data
Top GO terms of downregulated genes in TAF6L knockdown cells included maintenance of gastrointestinal epithelium and epithelium development and differentiation.
“Moreover, the top GO terms of the downregulated genes in TAF6L knockdown cells included maintenance of gastrointestinal epithelium and epithelium development and differentiation (Fig. S9A).”
Quote in the paperNot a substantial claim - Findingown data
TAF6L-GFP expression enabled cells to maintain their ability to proliferate after cisplatin treatment, with an average of 4.8% EdU+ post-treatment.
“In contrast, TAF6L-GFP expression enabled cells to maintain their ability to proliferate after cisplatin treatment, with an average of 4.8% EdU+ post-treatment.”
Quote in the paperSubstantial claim - Findingown data
Re-expression of TAF6L-GFP was sufficient to rescue cell proliferation in TAF6L knockdown organoids.
“Notably, the re-expression of TAF6L-GFP was sufficient to rescue cell proliferation in TAF6L knockdown organoids (Figs. 6E and S8D).”
Quote in the paperSubstantial claim - Findingown data
GMDS OE organoids exhibited increased sensitivity to cisplatin treatment.
“Furthermore, GMDS expression effectively rescued the suppressed GMDS levels in cisplatin-treated organoids (Fig. S7E) and resulted in GMDS OE organoids exhibiting an increased sensitivity to cisplatin treatment (Fig. 5G), accompanied by an increase in nuclear phospho-H2AX (γH2AX) (Fig. 5H).”
Quote in the paperSubstantial claim - Findingown data
Cisplatin, when combined with the knockdown of several NER genes, synergistically suppresses GMDS, leading to a marked reduction in total cellular fucosylated proteins.
“We found that cisplatin, when combined with the knockdown of several NER genes, synergistically suppresses GMDS, which encodes a rate-limiting enzyme in GDP-fucose biosynthesis, leading to a marked reduction in total cellular fucosylated proteins and suggesting a functional connection between DNA repair and fucosylation.”
Quote in the paperSubstantial claim- Rests on an assumption: GDP-fucose is the sole donor for protein fucosylation, a critical glycan modification for numerous membrane and secreted proteins.
- Findingown data
Using iCRISPRi screens, we identified numerous hits already known to participate in DNA damage response to cisplatin treatment, such as genes involved in NER, HRR, and FA pathways.
“In line with this, using iCRISPRi screens, we identified numerous hits already known to participate in DNA damage response to cisplatin treatment, such as genes involved in nucleotide-excision repair (NER), homologous recombination repair (HRR), and Fanconi anemia (FA) pathways.”
Quote in the paperNot a substantial claim - Findingreasoning
Most genes with strong effects on cisplatin sensitivity were identified exclusively in the iCRISPRi screens, but not in the iCRISPRa screen.
“Interestingly, most genes with strong effects on cisplatin sensitivity were identified exclusively in the iCRISPRi screens, but not in the iCRISPRa screen.”
Quote in the paperSubstantial claim - Findingown data
Pharmacological inhibition of fucosylation further sensitized cells to cisplatin.
“Supporting this hypothesis, pharmacological inhibition of fucosylation further sensitized cells to cisplatin, validating the functional relevance of this pathway in modulating drug response.”
Quote in the paperSubstantial claim - Findingown data
The identification of biologically relevant hits, such as MYC, supports the potential utility of CRISPRa when cautiously interpreted.
“Nonetheless, the identification of biologically relevant hits, such as MYC, supports the potential utility of CRISPRa when cautiously interpreted.”
Quote in the paperSubstantial claim - Findingown data
Our experiments across different organoid lines demonstrated that TAF6L expression can influence cellular sensitivity to cisplatin.
“Our experiments across different organoid lines demonstrated that TAF6L expression can influence cellular sensitivity to cisplatin.”
Quote in the paperSubstantial claim - Findingown data
Our 3D CRISPR screens in human organoids revealed gene-specific cisplatin vulnerabilities that have not been detected in 2D genetic screens.
“Importantly, our 3D CRISPR screens in human organoids revealed gene-specific cisplatin vulnerabilities that have not been detected in 2D genetic screens.”
Quote in the paperSubstantial claim - Interpretationown data
The results demonstrated the establishment of a large-scale CRISPR-based genetic screening platform in human 3D organoids.
“Overall, these results demonstrated the establishment of a large-scale CRISPR-based genetic screening platform in human 3D organoids, thereby increasing confidence in the identified target genes.”
Quote in the paperSubstantial claim - Interpretationown data
The CRISPRi screens provide a strong capability to uncover genes associated with cisplatin sensitivity.
“These results suggested that the CRISPRi screens provide a strong capability to uncover genes associated with cisplatin sensitivity.”
Quote in the paperSubstantial claim - Interpretationcitation
Inhibition of RNA polymerase subunits such as POLR1D, POLR2B, and BRF2 may block sensing of DNA damage, resulting in cisplatin hypersensitivity.
“Moreover, consistent with the function of RNA polymerases as sensors of DNA damage-induced lesions45, inhibition of RNA polymerase subunits, such as POLR1D, POLR2B, and BRF2, may block sensing of DNA damage, resulting in cisplatin hypersensitivity.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Lans, H., Hoeijmakers, J. H. J., Vermeulen, W. & Marteijn, J. A. The DNA damage response to transcription stress. Nat. Rev. Mol. Cell Biol. 20, 766–784 (2019). source
- Interpretationown data
The non-overlap of 3D organoid screen hits with previous 2D screens suggests potential 3D specificity.
“In particular, many genes identified from our iCRISPRi pooled screens in 3D human gastric organoids were not determined as cisplatin sensitization partners in previous genome-scale CRISPR KO screens in immortalized 2D human cell lines51, suggesting potential 3D specificity (Fig. S6A).”
Quote in the paperSubstantial claim - Interpretationown data
TAF6L is critical for the proliferation that occurs during recovery following cisplatin treatment.
“These results suggested that TAF6L is critical for the proliferation that occurs during recovery following cisplatin treatment.”
Quote in the paperSubstantial claim - Study design and conductnone given
Several key findings from the primary screens have been independently validated, reinforcing the credibility of the identified target genes.
“Notably, several key findings from our primary screens have been independently validated, further reinforcing the credibility of the identified target genes.”
Quote in the paperNot a substantial claim - Interpretationcitation
The list of gene hits could be generally grouped into known biological processes related to cisplatin-associated DNA repair signaling based on published literature.
“With some exceptions, this intriguing list of gene hits could be generally grouped into known biological processes related to cisplatin-associated DNA repair signaling based on published literature (Fig. S6B).”
Quote in the paperNot a substantial claim - Study design and conductown data
These results were independently validated in an additional TP53 KO organoid line.
“These results were independently validated in an additional TP53 KO organoid line (Fig. S8A).”
Quote in the paperNot a substantial claim - Interpretationown data
There is a strong autoregulatory effect at the TAF6L promoter.
“Of note, among the significantly reduced ATAC peaks in promoter regions, the peak located at the TAF6L promoter ranked as the 1st peak (Fig. S9D), consistent with a strong autoregulatory effect at the TAF6L promoter.”
Quote in the paperNot a substantial claim - Interpretationown data
These findings reveal a previously uncharacterized crosstalk between GMDS expression and cisplatin sensitivity.
“Taken together, these findings reveal a previously uncharacterized crosstalk between GMDS expression and cisplatin sensitivity, highlighting a potential mechanism by which cancer cells modulate their response to cisplatin.”
Quote in the paperSubstantial claim - Interpretationown data
TAF6L does not directly regulate the expression of DNA repair genes or other related genes.
“We did not identify any significant GO terms related to the DNA damage response, suggesting that TAF6L does not directly regulate the expression of DNA repair genes or other related genes.”
Quote in the paperSubstantial claim - Interpretationreasoning
GMDS downregulation is dissociated from cisplatin-induced cytotoxicity.
“This discrepancy thus dissociated GMDS downregulation from cisplatin-induced cytotoxicity and suggested that the synergistic suppression of GMDS observed with combined cisplatin treatment and NER gene knockdown was not inherently cytotoxic but rather reflected a positive feedback mechanism promoting cell survival following DNA damage.”
Quote in the paperSubstantial claim - Interpretationown data
TAF6L depletion inhibited cell proliferation.
“However, TAF6L knockdown reduced the EdU+ cell population to an average of 8.0% compared to control organoids (18.1% EdU+ on average), indicating that TAF6L depletion inhibited cell proliferation.”
Quote in the paperSubstantial claim - Interpretationown data
Other mechanisms may be at play for TAF6L-associated cisplatin sensitivity.
“This was consistent with the single-cell CRISPR results (Fig. 5), as TAF6L did not cluster with NER- or HRR-specific groups, indicating that other mechanisms may be at play.”
Quote in the paperSubstantial claim - Interpretationreasoning
The synergistic suppression of GMDS observed with combined cisplatin treatment and NER gene knockdown was not inherently cytotoxic but reflected a positive feedback mechanism promoting cell survival following DNA damage.
“This discrepancy thus dissociated GMDS downregulation from cisplatin-induced cytotoxicity and suggested that the synergistic suppression of GMDS observed with combined cisplatin treatment and NER gene knockdown was not inherently cytotoxic but rather reflected a positive feedback mechanism promoting cell survival following DNA damage.”
Quote in the paperSubstantial claim - Interpretationown data
TAF6L does not directly regulate DNA repair signaling activity.
“However, we did not observe significant changes in RAD51, FANCD2, or ubiquitinated FANCD2 (Ub-FANCD2) expression in TAF6L knockdown or TAG6L-GFP organoids (Fig. S8B, C), suggesting that TAF6L does not directly regulate DNA repair signaling activity.”
Quote in the paperSubstantial claim - Interpretationown data
TAF6L may act as a cisplatin sensitization gene by maintaining global chromatin accessibility of loci required for proliferation recovery after chemotherapy exposure.
“Taken together, these results suggest that TAF6L may act as a cisplatin sensitization gene by maintaining global chromatin accessibility of loci required for proliferation recovery after chemotherapy exposure.”
Quote in the paperSubstantial claim - Interpretationown data
The downregulation of GMDS-associated fucosylation functions as a DNA damage-induced pro-survival signal to reduce cisplatin sensitivity, independent of additional NER gene knockdown.
“These results supported a potential working model in which the downregulation of GMDS-associated fucosylation functions as a DNA damage-induced pro-survival signal to reduce cisplatin sensitivity, independent of additional NER gene knockdown (Fig. S7I).”
Quote in the paperSubstantial claim- Rests on an assumption: GDP-fucose is the sole donor for protein fucosylation, a critical glycan modification for numerous membrane and secreted proteins.
- Interpretationown data
The cisplatin sensitization-induced transcriptomic harmonization reflected the known distinct biology of NER versus HRR DNA repair pathways.
“This cisplatin sensitization-induced transcriptomic harmonization faithfully reflected the known distinct biology of the NER versus HRR DNA repair pathways versus transcriptomic divergence observed upon iCRISPRi inhibition in cisplatin-naïve organoids.”
Quote in the paperSubstantial claim - Interpretationcitation
These known technical limitations likely contributed to the lower correlation observed in our CRISPRa replicates.
“These known technical limitations likely contributed to the lower correlation observed in our CRISPRa replicates.”
Quote in the paperNot a substantial claim - Interpretationown data
There is a functional connection between DNA repair and fucosylation.
“We found that cisplatin, when combined with the knockdown of several NER genes, synergistically suppresses GMDS, which encodes a rate-limiting enzyme in GDP-fucose biosynthesis, leading to a marked reduction in total cellular fucosylated proteins and suggesting a functional connection between DNA repair and fucosylation.”
Quote in the paperSubstantial claim - Interpretationcitation
3D culture systems may be particularly useful for uncovering cancer vulnerabilities.
“Recent studies have shown that phenotypes associated with CRISPR-mediated knockout of putative oncogenic loci are more pronounced when cancer cells are grown as 3D spheroids than 2D monolayers, suggesting that 3D culture systems may be particularly useful for uncovering cancer vulnerabilities55.”
Quote in the paperSubstantial claim - Study design and conductnone given
More than 90% of sgRNA library-transduced cells became sgRNA positive after puromycin selection.
“More than 90% of sgRNA library-transduced cells became sgRNA positive after puromycin selection.”
Quote in the paperNot a substantial claim - Interpretationown data
Our data suggested that TAF6L may have additional functions beyond its role as a TATA-box binding protein-associated factor in regulating transcription machinery.
“Our data suggested that TAF6L may have additional, intriguing functions beyond its role as a TATA-box binding protein-associated factor in regulating transcription machinery.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Genetic knockdown and overexpression of a given target may not produce reciprocal phenotypes due to saturation effects from homeostatic gene expression levels.
“This is consistent with the idea that genetic knockdown and overexpression of a given target may not produce reciprocal phenotypes due to saturation effects from homeostatic gene expression levels.”
Quote in the paperNot a substantial claim - Interpretationown data
Our single-cell CRISPR screens in 3D organoids uncovered a previously unrecognized link between cisplatin sensitivity and fucosylation.
“Beyond DNA repair, our single-cell CRISPR screens in 3D organoids further uncovered a previously unrecognized link between cisplatin sensitivity and fucosylation.”
Quote in the paperSubstantial claim - Interpretationown data
GMDS/fucosylation suppression might serve a protective role in the context of cisplatin treatment.
“Interestingly, re-expressing GMDS did not rescue cells from cisplatin-induced cytotoxicity; instead, it enhanced cell death, indicating that GMDS/fucosylation suppression might serve a protective role in the context of cisplatin treatment.”
Quote in the paperSubstantial claim - Interpretationreasoning
These unexpected results suggest a potential crosstalk between DNA repair and fucosylation.
“These unexpected results suggest a potential crosstalk between DNA repair and fucosylation, highlighting the need for further investigation into its mechanistic basis.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The gene-specific dependencies and biological processes identified may be distinct to early cancer development as opposed to established tumors.
“Finally, our oncogene-engineered human tumor organoids represent a pre-cancerous stage9,37, meaning the gene-specific dependencies and biological processes identified may be distinct to early cancer development as opposed to established tumors.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 29
- May combine two claims. 43
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrimary human organoids have enabled exploration of biological processes in normal physiology and various pathological states previously difficult to study.
“As a result, primary human organoids have enabled the exploration of biological processes in both normal physiology and various pathological states that were previously difficult to study3,4.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [3] Lo, Y. H., Karlsson, K. & Kuo, C. J. Applications of organoids for cancer biology and precision medicine. Nat. Cancer 1, 761–773 (2020). source
- cites [4] Hahn, W. C. et al. An expanded universe of cancer targets. Cell 184, 1142–1155 (2021). source
In “Future opportunities” (page not provided), the paper says 3D cultures of primary tumor tissue preserve features seen in vivo and allow study of tumor phenotypes difficult to model in 2D. This supports the claim for cancer-related pathological processes, but the passage does not establish that primary human organoids have enabled study of normal physiology or pathological states more broadly. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCRISPR cutting screens in 3D organoids have been implemented to explore factors such as growth factor dependency for cell growth, identify potential cancer-driving forces, and uncover key genetic events in cell differentiation.
“Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth14–16, identifying potential cancer-driving forces17–19, and uncovering key genetic events in cell differentiation20–22.”
Quote in the paperNot a substantial claim8 of 9 sources checked- cites [14] Murakami, K. et al. A genome-scale CRISPR screen reveals factors regulating Wnt-dependent renewal of mouse gastric epithelial cells. Proc. Natl. Acad. Sci. USA 118, https://doi.org/10.1073/pnas.2016806118 (2021). source
- cites [15] Ringel, T. et al. Genome-scale CRISPR screening in human intestinal organoids identifies drivers of TGF-beta resistance. Cell Stem Cell 26, 431–440.e438 (2020). source
- cites [16] Planas-Paz, L. et al. YAP, but Not RSPO-LGR4/5, signaling in biliary epithelial cells promotes a ductular reaction in response to liver injury. Cell Stem Cell 25, 39–53.e10 (2019). source
- cites [17] Michels, B. E. et al. Pooled in vitro and in vivo CRISPR-Cas9 screening identifies tumor suppressors in human colon organoids. Cell Stem Cell 26, 782–792.e787 (2020). source
- cites [18] Mircetic, J. et al. CRISPR/Cas9 screen in gastric cancer patient-derived organoids reveals KDM1A-NDRG1 axis as a targetable vulnerability. Small Methods 7, e2201605 (2023). source
- cites [19] Takeda, H. et al. CRISPR-Cas9-mediated gene knockout in intestinal tumor organoids provides functional validation for colorectal cancer driver genes. Proc. Natl. Acad. Sci. USA 116, 15635–15644 (2019). source
- cites [20] Hansen, S. L. et al. An organoid-based CRISPR-Cas9 screen for regulators of intestinal epithelial maturation and cell fate. Sci. Adv. 9, eadg4055 (2023). source
- cites [21] Lin, L. et al. Unbiased transcription factor CRISPR screen identifies ZNF800 as master repressor of enteroendocrine differentiation. Science 382, 451–458 (2023). source
- cites [22] Liang, J. et al. In-organoid single-cell CRISPR screening reveals determinants of hepatocyte differentiation and maturation. Genome Biol. 24, 251 (2023). source
May combine two claims.
PremisecitationOrganoids represent robust in vitro cultures that preserve tissue architecture, stem cell activity, multilineage differentiation, genomic alterations, histology, and pathology of primary tissues.
“Organoids represent robust in vitro cultures that preserve tissue architecture, stem cell activity, multilineage differentiation, genomic alterations, histology, and pathology of primary tissues1,2.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [1] Sato, T. et al. Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche. Nature 459, 262–265 (2009). source
- cites [2] Ootani, A. et al. Sustained in vitro intestinal epithelial culture within a Wnt-dependent stem cell niche. Nat. Med. 15, 701–706 (2009). source
The Results section, “Establishment of a long-term intestinal culture system” (page not provided), describes long-lived mouse intestinal organoids with polarized tissue structure, proliferative zones, and multilineage differentiation; the paper also reports putative intestinal stem-cell populations. It does not show that the cultures preserve genomic alterations or the pathology of primary tissues, and its findings are specific to intestinal cultures rather than organoids generally. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral preclinical human transformation organoid models have been developed through sequential CRISPR modifications of single or multiple oncogenic loci.
“Several preclinical human transformation organoid models have been developed through sequential CRISPR modifications of single or multiple oncogenic loci9–13.”
Quote in the paperNot a substantial claim3 of 5 sources checked- cites [9] Lo, Y. H. et al. A CRISPR/Cas9-engineered ARID1A-deficient human gastric cancer organoid model reveals essential and nonessential modes of oncogenic transformation. Cancer Discov. 11, 1562–1581 (2021). source
- cites [10] Drost, J. et al. Use of CRISPR-modified human stem cell organoids to study the origin of mutational signatures in cancer. Science 358, 234–238 (2017). source
The paper’s Abstract describes CRISPR-edited human colon organoids used to model cancer-associated mutational signatures. It describes deleting DNA-repair genes, not sequentially modifying oncogenic loci to create transformation models; that more specific part of the claim is unsupported. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [11] Drost, J. et al. Sequential cancer mutations in cultured human intestinal stem cells. Nature 521, 43–47 (2015). source
- cites [12] Matano, M. et al. Modeling colorectal cancer using CRISPR-Cas9-mediated engineering of human intestinal organoids. Nat. Med. 21, 256–262 (2015). source
- cites [13] Shimokawa, M. et al. Visualization and targeting of LGR5(+) human colon cancer stem cells. Nature 545, 187–192 (2017). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCRISPR technology provides a precise, efficient, and versatile tool for targeted DNA modification in various organisms.
“The development of CRISPR technology has revolutionized genome editing by providing a precise, efficient, and versatile tool for targeted DNA modification in various organisms5,6.”
Quote in the paperNot a substantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn human immortalized 2D cell lines, large-scale CRISPR-based genetic screens have yielded significant insights into normal and disease biology and serve as an unbiased method for investigating disease mechanisms and gene-drug interactions.
“In human immortalized 2D cell lines, large-scale CRISPR-based genetic screens have yielded significant insights into both normal and disease biology, serving as an unbiased method for investigating disease mechanisms and gene-drug interactions7,8.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [7] Doench, J. G. Am I ready for CRISPR? A user’s guide to genetic screens. Nat. Rev. Genet. 19, 67–80 (2018). source
- cites [8] Jost, M. & Weissman, J. S. CRISPR approaches to small molecule target identification. ACS Chem. Biol. 13, 366–375 (2018). source
The ‘Functional genomics tools for chemical-genetic screens in human cells’ section describes genome-wide pooled CRISPR screens that identify genes required for growth and genetic dependencies of drugs. It does not specify immortalized 2D cell lines or establish the broader claim that these screens have yielded insights into both normal and disease biology. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSome CRISPR methods have been tested on a small scale but have not yet been fully adopted for large-scale screens in tissue-derived organoids.
“While some of these methods have been tested on a small scale35,36, they have not yet been fully adopted for large-scale screens in tissue-derived organoids.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [35] Sun, D. et al. A functional genetic toolbox for human tissue-derived organoids. eLife 10, https://doi.org/10.7554/eLife.67886 (2021). source
- cites [36] Sun, D. et al. SOX9 maintains human foetal lung tip progenitor state by enhancing WNT and RTK signalling. EMBO J. 41, e111338 (2022). source
Classified as probably not a substantial claim.
PremisecitationPerturb-seq is a multiplexed lentiviral platform combining CRISPR-based genetic perturbations and single-cell RNA-seq to accurately identify transcriptional profiles and single-cell states affected by individual genetic perturbations, extending beyond simple bulk cellular growth phenotypes.
“Perturb-seq is a multiplexed lentiviral platform combining CRISPR-based genetic perturbations and single-cell RNA-seq (scRNA-seq) to accurately identify transcriptional profiles and single-cell states affected by individual genetic perturbations, extending beyond simple bulk cellular growth phenotypes32–34 (Fig. 4A).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [32] Adamson, B. et al. A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell 167, 1867–1882.e1821 (2016). source
- cites [33] Dixit, A. et al. Perturb-seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens. Cell 167, 1853–1866.e1817 (2016). source
- cites [34] Datlinger, P. et al. Pooled CRISPR screening with single-cell transcriptome readout. Nat. Methods 14, 297–301 (2017). source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSingle-cell RNA-sequencing pooled CRISPR screens can simultaneously sequence transcriptomes and sgRNAs from individual cells, enabling comprehensive analysis of sgRNA-specific effects on genetic regulatory networks at single-cell resolution.
“Additionally, single-cell RNA-sequencing pooled CRISPR screens can simultaneously sequence transcriptomes and sgRNAs from individual cells, enabling a comprehensive analysis of sgRNA-specific effects on genetic regulatory networks at single-cell resolution32–34.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [32] Adamson, B. et al. A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell 167, 1867–1882.e1821 (2016). source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [33] Dixit, A. et al. Perturb-seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens. Cell 167, 1853–1866.e1817 (2016). source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [34] Datlinger, P. et al. Pooled CRISPR screening with single-cell transcriptome readout. Nat. Methods 14, 297–301 (2017). source
Classified as probably not a substantial claim.
PremisecitationCRISPRi and CRISPRa offer advantages of precise, adjustable gene expression without causing genomic indels or nonspecific toxicity associated with Cas9-induced DNA double-strand breaks.
“CRISPRi and CRISPRa offer the advantages of precise, adjustable gene expression without causing genomic indels or the nonspecific toxicity associated with Cas9-induced DNA double-strand breaks31.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [31] Jost, M. et al. Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs. Nat. Biotechnol. 38, 355–364 (2020). source
The Abstract (page unavailable) describes programmable CRISPRi and CRISPRa effectors and a method for titrating gene expression with nuclease-dead Cas9. That supports adjustable expression and the absence of nuclease-mediated cutting in this approach, but the paper does not address genomic indels or nonspecific toxicity from Cas9-induced double-strand breaks as claimed. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe iCRISPRi screen showed high consistency between independent experiments, while the iCRISPRa screen exhibited lower replicate correlation.
“Our data for each screen, which included two independent experiments as replicates, showed high consistency in the iCRISPRi screen, while the iCRISPRa screen exhibited lower replicate correlation, consistent with known technical challenges associated with CRISPRa-based perturbations43 (Fig. S2D).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [43] Sanson, K. R. et al. Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities. Nat. Commun. 9, 5416 (2018). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCRISPRi and CRISPRa technologies utilize catalytically inactive Cas9 (dCas9) fused to either a transcriptional repressor (e.g., KRAB) or a transcriptional activator (e.g., VPR).
“For example, CRISPRi (interference)23–25 and CRISPRa (activation)26–30 technologies utilize catalytically inactive Cas9 (dCas9) fused to either a transcriptional repressor (e.g., KRAB, Krüppel associated box) or a transcriptional activator (e.g., VPR, VP64-p65-Rta).”
Quote in the paperNot a substantial claim8 of 8 sources checked- cites [23] Gilbert, L. A. et al. CRISPR-mediated modular RNA-guided regulation of transcription in eukaryotes. Cell 154, 442–451 (2013). source
The Results section, “dCas9 fusion proteins can efficiently activate or silence transcription” (page not supplied), describes dCas9-KRAB for repression and dCas9-VP64 or dCas9-p65AD for activation. It supports the general claim about dCas9 fused to transcriptional effectors, but does not describe the specific VPR (VP64-p65-Rta) activator named in the citing sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [24] Konermann, S. et al. Optical control of mammalian endogenous transcription and epigenetic states. Nature 500, 472–476 (2013). source
The paper’s LITE-system description (section labeled Abstract; page unavailable) says that a nucleolytically inactive Cas9 domain could, in principle, replace its TALE genomic anchor, and that the modular system can use activating or repressing effectors. It does not describe CRISPRi or CRISPRa constructs with dCas9 fused to KRAB or VPR; its described activator is VP64, recruited through a light-responsive component. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [25] Qi, L. S. et al. Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression. Cell 152, 1173–1183 (2013). source
The Introduction and the section on CRISPRi silencing describe gene repression using catalytically inactive Cas9 and a guide RNA. The section on engineering transcriptional regulatory networks discusses coupling dCas9 to regulatory domains for activation as a possibility, not as a demonstrated system. Our copy does not describe the claimed KRAB or VPR fusions. (LLM, conf=0.89)
Experimental — accuracy not yet measured - cites [26] Maeder, M. L. et al. CRISPR RNA-guided activation of endogenous human genes. Nat. Methods 10, 977–979 (2013). source
The paper’s Abstract and Online Methods (page unavailable) describe catalytically inactive dCas9 fused to the VP64 activation domain to increase expression of endogenous human genes. The Abstract also mentions a dCas9-KRAB repressor fusion reported by another study. It does not describe a VPR (VP64-p65-Rta) activator, so the specific activator example is not supported by this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [27] Perez-Pinera, P. et al. RNA-guided gene activation by CRISPR-Cas9-based transcription factors. Nat. Methods 10, 973–976 (2013). source
The paper’s Abstract describes a CRISPR activation system made by fusing catalytically inactive Cas9 to the VP64 transactivation domain. It does not describe the cited VPR activator; its mention of gene silencing concerns steric hindrance, not a dCas9–KRAB repressor. No page number is provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [28] Gilbert, L. A. et al. Genome-scale CRISPR-mediated control of gene repression and activation. Cell 159, 647–661 (2014). source
The Introduction describes dCas9 fusion proteins used to repress transcription (CRISPRi) or activate it (CRISPRa), and the CRISPRi Results identify KRAB as a repressor domain. The CRISPRa Results describe a sunCas9 system that recruits activating effector domains, but do not identify VPR (VP64-p65-Rta) as its activator or describe a dCas9–VPR fusion. No page numbers are available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [29] Chavez, A. et al. Highly efficient Cas9-mediated transcriptional programming. Nat. Methods 12, 326–328 (2015). source
- cites [30] Konermann, S. et al. Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. Nature 517, 583–588 (2015). source
The Abstract describes catalytically inactive Cas9 fused to transcriptional activation domains, and the Structure-guided design section identifies the paper’s activator as dCas9-VP64 in the SAM system. The cited paper therefore supports the CRISPRa portion, but our copy does not describe the VPR fusion or a dCas9-KRAB CRISPRi system. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious studies suggested that TAF6L plays a role in maintaining the self-renewal and proliferation of embryonic stem cells.
“Previous studies suggested that TAF6L plays a role in maintaining the self-renewal and proliferation of embryonic stem cells54.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [54] Seruggia, D. et al. TAF5L and TAF6L maintain self-renewal of embryonic stem cells via the MYC regulatory network. Mol. Cell 74, 1148–1163.e1147 (2019). source
May combine two claims.
Findingown dataThe iCRISPRa screen in cisplatin-naïve organoids identified 42 cell growth-associated sgRNA activation loci, with 28 causing growth defects and 14 promoting increased growth.
“The iCRISPRa screen in cisplatin-naïve organoids identified 42 cell growth-associated sgRNA activation loci, with 28 causing growth defects and 14 promoting increased growth (Supplementary Data. 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOver 95% of Cas9-expressing TP53/APC DKO cells became GFP-negative after delivery of a GFP-targeting sgRNA, indicating robust Cas9 activity.
“In contrast to the nearly universal GFP expression observed in parental cells, over 95% of Cas9-expressing TP53/APC DKO cells became GFP-negative, indicating robust Cas9 activity (Fig. 1B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown datamCherry-positive dCas9-expressing organoids showed no obvious growth defects, indicating low toxicity of dCas9 fusion proteins.
“We observed no obvious growth defects in mCherry-positive dCas9-expressing organoids, indicating the low toxicity of dCas9 fusion proteins (Fig. 2B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe CRISPR KO screen achieved near-complete library representation at T0 (99.9%, 1092 target genes) with overall consistency between independent experimental replicates.
“Based on sgRNA counts, we observed a near-complete library representation at T0 (99.9%, 1092 target genes) with overall consistency between independent experimental replicates (Fig. S1C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDoxycycline withdrawal induced degradation of dCas9 fusion proteins, whose expression was quickly restored by re-induction, suggesting tight control of iCRISPRi and iCRISPRa cassettes.
“Doxycycline withdrawal induced degradation of dCas9 fusion proteins, whose expression was quickly restored by re-induction, suggesting tight control of iCRISPRi and iCRISPRa cassettes (Fig. 2C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPOLR1D, CPSF2, BOD1L1, ZKSCAN2, and HMGN2 showed a rapid general growth defect phenotype after knockdown in the absence of cisplatin and were not used for the cisplatin sensitivity assay.
“On the other hand, the remaining hits, including POLR1D, CPSF2, BOD1L1, ZKSCAN2, and HMGN2, showed a rapid general growth defect phenotype after knockdown in the absence of cisplatin (Fig. S4B) and were, therefore, not used for the cisplatin sensitivity assay.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data9 of 14 randomly selected hits confirmed cisplatin sensitivity in individual iCRISPRi knockdown lines compared to control organoids, indicating high reliability of the original screen.
“Importantly, consistent with the pooled screen, 9 of these newly established iCRISPRi knockdown lines confirmed cisplatin sensitivity compared to control organoids carrying non-targeting sgRNA, indicating the high reliability of the original screen (Fig. S4A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe significant cisplatin sensitization hits contained gene candidates that confirmed known pathways and included hits representing uncharacterized mechanisms.
“The significant cisplatin sensitization hits contained several gene candidates that both confirmed known pathways and included hits representing uncharacterized mechanisms (Fig. 3D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMYC was ranked as the top hit for growth advantage in the iCRISPRa screen, along with additional loci such as SAMD4B.
“Among these genes, the well-known oncogenic driver MYC was ranked as the top hit for growth advantage, along with additional loci such as SAMD4B (Fig. 3B).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe iCRISPRi screen yielded 41 cisplatin sensitization hits and 9 persistence (buffering) hits whose knockdown correlated with cisplatin-specific sgRNA dropout and enrichment, respectively.
“The iCRISPRi screen yielded 41 cisplatin sensitization hits, and 9 persistence (buffering) hits whose knockdown correlated with cisplatin-specific sgRNA dropout and enrichment, respectively (Figs. 3C and S3C; Supplementary Data 7).”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataDivergent single-cell transcriptomes were observed in cisplatin-naïve cells transduced with sgRNAs targeting ERCC4, ERCC6, ERCC8, XPA, and GTF2H5.
“For example, divergent single-cell transcriptomes were observed in cells transduced with sgRNAs targeting ERCC4, ERCC6, ERCC8, XPA, and GTF2H5, even though these cisplatin sensitization genes are conventionally grouped into the nucleotide-excision repair (NER) pathway.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe iCRISPRi gene-drug interaction screens highlighted numerous gene candidates that confirmed known cisplatin sensitivity and suggested previously uncharacterized mechanisms.
“The iCRISPRi gene-drug interaction screens highlighted numerous gene candidates that confirmed known cisplatin sensitivity and suggested previously uncharacterized mechanisms (Fig. 3D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataKnockdown of HRR pathway iCRISPRi hits BRCA1, HELQ, and MCM9 in cisplatin-treated organoids resulted in similar single-cell transcriptomes that did not intermix with the NER knockdown cluster, with the exception of XPA.
“Similarly, knockdown of the HRR pathway iCRISPRi hits BRCA1, HELQ, and MCM9 also resulted in similar single-cell transcriptomes, which further did not intermix with the NER knockdown cluster, with the exception of the NER gene XPA (Fig. 5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data2F-PerAc-Fuc inhibited total protein fucosylation but reversed cisplatin cytotoxicity, evidenced by increased cisplatin IC50.
“Accordingly, 2F-PerAc-Fuc inhibited total protein fucosylation (Fig. S7G) but reversed cisplatin cytotoxicity, evidenced by increased cisplatin IC50 (Fig. S7H).”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataSimilar divergence was evident in cisplatin-naïve transcriptomes of cells transduced with sgRNAs targeting BRCA1, HELQ, and MCM9.
“Similar divergence was also evident in transcriptomes of cells transduced with sgRNAs targeting BRCA1, HELQ, and MCM9, which function in the homologous recombination repair (HRR) pathway.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThese large-scale genetic screens facilitated both negative selection (cell growth phenotype) and positive selection (drug sensitivity phenotype) in primary human gastric organoids.
“These large-scale genetic screens facilitated both negative selection (cell growth phenotype) and positive selection (drug sensitivity phenotype) in primary human gastric organoids.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA total of 36,658 ATAC peaks significantly decreased after TAF6L loss, while only 28 peaks increased.
“A total of 36,658 ATAC peaks significantly decreased after TAF6L loss, while only 28 peaks increased (Fig. 6F; Supplementary Data 12).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe Perturb-seq experiment captured mRNA expression of 20,414 cells from iCRISPRi and 9,026 cells from iCRISPRa, each carrying a single sgRNA per cell, with an average of 142 cells/sgRNA and 198 cells/sgRNA, respectively.
“The mRNA expression of a total of 20,414 cells from iCRISPRi and 9026 cells from iCRISPRa, each carrying a single sgRNA per cell, was captured, with an average of 142 cells/sgRNA and 198 cells/sgRNA, respectively (Fig. S5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOverexpression of HHEX and MXI1 caused a dramatic increase of cells in S and G2-M phases respectively, suggesting potential molecular mechanisms of growth arrest.
“Conversely, overexpression of HHEX and MXI1 caused a dramatic increase of cells in S and G2-M phases respectively, suggesting potential molecular mechanisms of growth arrest (Fig. 4E).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNumerous significant GO terms were identified in TAF6L-GFP organoids, including upregulation of brush border membrane, vascular transport, and basolateral plasma membrane, and downregulation of extracellular matrix organization, regulation of cell migration, and collagen-containing extracellular matrix.
“Numerous significant GO terms were identified, including the upregulation of brush border membrane, vascular transport, and basolateral plasma membrane (Fig. S9B), as well as the downregulation of extracellular matrix organization, regulation of cell migration, and collagen-containing extracellular matrix (Fig. S9B).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCompared to control organoids, TAF6L knockdown organoids showed 452 differentially expressed genes (fold change > 2 and adjusted p-value < 0.05), with 321 genes consistently upregulated and 131 downregulated.
“Compared to control organoids, the TAF6L knockdown organoids showed 452 differentially expressed genes (fold change > 2 and adjusted p-value < 0.05), with 321 genes consistently upregulated and 131 downregulated (Supplementary Data 10).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn TAF6L-GFP-expressing organoids, 1969 differentially expressed genes were identified (fold change > 2 and adjusted p-value < 0.05), including 1079 upregulated and 890 downregulated.
“On the other hand, in the TAF6L-GFP-expressing organoids, we identified a total of 1969 differentially expressed genes (fold change > 2 and adjusted p-value < 0.05), including 1079 genes consistently upregulated and 890 downregulated (Supplementary Data 11).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSingle-cell iCRISPRi knockdown of additional NER loci (XPA, ELOF1, GTF2H5) plus cisplatin elicited similar synergistic repression of GMDS (standard deviation > 4), which was not observed upon single-cell iCRISPRi knockdown of HRR genes.
“More broadly, in addition to ERCC4, ERCC6, and ERCC8 (Fig. S6G), single-cell iCRISPRi knockdown of additional NER loci (XPA, ELOF1, GTF2H5) plus cisplatin elicited similar synergistic repression of GMDS (standard deviation > 4), which was not observed upon single-cell iCRISPRi knockdown of HRR genes (Fig. S7D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRe-expressing GMDS did not rescue cells from cisplatin-induced cytotoxicity; instead, it enhanced cell death.
“Interestingly, re-expressing GMDS did not rescue cells from cisplatin-induced cytotoxicity; instead, it enhanced cell death, indicating that GMDS/fucosylation suppression might serve a protective role in the context of cisplatin treatment.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSingle cells with cisplatin-sensitizing sgRNAs displayed divergent transcriptomes in the absence of cisplatin, but when exposed to cisplatin, they clustered according to known functions in NER and HRR DNA repair pathways.
“Interestingly, single cells with cisplatin-sensitizing sgRNAs displayed divergent transcriptomes in the absence of cisplatin, but when exposed to cisplatin, they clustered according to known functions in NER and HRR DNA repair pathways.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTAF6L impacts cell proliferation, with its knockdown preventing cells from recovering after cisplatin-induced cell death, while re-expression rescued this effect.
“By studying the mechanism directly in human 3D organoids, we showed that TAF6L impacts cell proliferation, with its knockdown preventing cells from recovering after cisplatin-induced cell death, while re-expression rescued this effect.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe coverage distribution of proposed sgRNA identities was bimodal.
“The coverage distribution was bimodal.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataHuman organoid models are useful for dissecting gene-drug interactions and offer insights into therapeutic vulnerabilities in gastric cancer.
“These results highlight the utility of human organoid models for dissecting gene-drug interactions and offer insights into therapeutic vulnerabilities in gastric cancer.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
PremisereasoningBy replicating therapeutic vulnerabilities observed in clinical settings in response to genomic alterations, organoids provide a powerful model for uncovering genetic mechanisms behind synthetic lethal and buffering gene-drug interactions.
“By replicating the therapeutic vulnerabilities observed in clinical settings in response to genomic alterations, organoids provide a powerful model for uncovering the genetic mechanisms behind synthetic lethal and buffering gene-drug interactions.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenThe engineered TP53/APC DKO organoid model provides a relatively homogeneous genetic background, minimizing variability and enabling precise identification of gene-function relationships in CRISPR-based screens.
“This engineered organoid model provides a relatively homogeneous genetic background, minimizing variability and enabling precise identification of gene-function relationships in CRISPR-based screens.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe inducible iCRISPRi and iCRISPRa systems enabled effective modulation of individual target gene expression in organoids, demonstrating their utility for precise gene regulation in 3D culture.
“Overall, the inducible genetic knockdown (iCRISPRi) and overexpression (iCRISPRa) systems enabled effective modulation of individual target gene expression in organoids, demonstrating their utility for precise gene regulation in a 3D culture context.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe findings support the known function of cisplatin in DNA damage-induced cell death and demonstrate the feasibility of the iCRISPRi and iCRISPRa screening platforms and the ability to map mechanistic pathways and targeted loci.
“These findings support the known function of cisplatin in DNA damage-induced cell death, demonstrating the feasibility of our iCRISPRi and iCRISPRa screening platforms and the ability to map mechanistic pathways and targeted loci.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationGMDS encodes GDP-mannose 4,6-dehydratase, which catalyzes the first step in the GDP-fucose de novo synthesis pathway.
“GMDS encodes GDP-mannose 4,6-dehydratase, which catalyzes the first step in the GDP-fucose de novo synthesis pathway53 (Fig. S7B).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Li, J., Hsu, H. C., Mountz, J. D. & Allen, J. G. Unmasking fucosylation: from cell adhesion to immune system regulation and diseases. Cell Chem. Biol. 25, 499–512 (2018). source
May combine two claims.
InterpretationreasoningThis approach yielded highly reliable hits, minimizing the high background noise typically caused by sparse sgRNA coverage and ensuring strong discovery power.
“This approach yielded highly reliable hits, minimizing the high background noise typically caused by sparse sgRNA coverage and ensuring strong discovery power.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataMultiplexed single-cell CRISPR screening in human organoids bridges the gap between genetic screens and molecular traits and illuminates how specific genotypes contribute to unique phenotypes.
“Taken together, these studies demonstrated the power of multiplexed single-cell CRISPR screening in human organoids, bridging the gap between genetic screens and molecular traits and illuminating how specific genotypes contribute to unique phenotypes.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningZKSCAN2 and LEO1 are unsuspected participants in NER.
“As GMDS was also synergistically repressed by the combination of cisplatin with either ZKSCAN2 or LEO1 sgRNA, it is conceivable that these loci are unsuspected participants in NER.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenOverall, our studies underscore the power of high-resolution approaches that link genotypes and phenotypes in human 3D organoids, enabling the mechanistic and unbiased dissection of gene-drug interactions.
“Overall, our studies underscore the power of high-resolution approaches that link genotypes and phenotypes in human 3D organoids, enabling the mechanistic and unbiased dissection of gene-drug interactions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll screens (CRISPR KO, iCRISPRi, and iCRISPRa) were conducted as two completely independent experiments, involving separate lentiviral transductions performed at different times.
“All screens (CRISPR KO, iCRISPRi, and iCRISPRa) were conducted as two completely independent experiments, involving separate lentiviral transductions performed at different times.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe Investigators were not blinded to allocation during experiments and outcome assessment.
“The Investigators were not blinded to allocation during experiments and outcome assessment.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenExperiments shown in Figs. 1A, B, 2B, 5F, 6E, S2B, S7F and S8B, C were independently repeated at least three times with similar results.
“Experiments shown in Figs. 1A, B, 2B, 5F, 6E, S2B, S7F and S8B, C were independently repeated at least three times with similar results.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenFor CRISPR screens, the multiplicity of infection (MOI) was adjusted to ~25-30% to minimize the likelihood of multiple viral integrations per cell.
“For CRISPR screens, the multiplicity of infection (MOI) was adjusted to ~25–30% to minimize the likelihood of multiple viral integrations per cell.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe genomic DNA was harvested from each sample at the initial time point (T0) and the end time point (T1) with 1000× coverage of the sgRNA library for deep DNA sequencing.
“The genomic DNA was harvested from each sample at the initial time point (T0) and the end time point (T1) with 1000× coverage of the sgRNA library for deep DNA sequencing.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe experiments performed in this study were randomized.
“The experiments performed in this study were randomized.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataApproximately 4 × 10^7 suspension (d)Cas9-expressing cells were used for lentiviral transduction with the sgRNA library (~12,500 sgRNAs), corresponding to ~3000× coverage.
“Approximately 4 × 107 suspension (d)Cas9-expressing cells were used for lentiviral transduction with the sgRNA library (~12,500 sgRNAs), corresponding to ~3000× coverage.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningLentivirus was added at an infection rate of ~30%, resulting in an effective post-transduction coverage of ≥1000×.
“Lentivirus was added at an infection rate of ~30%, resulting in an effective post-transduction coverage of ≥1000×.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataTo verify data quality, the insert size distribution was examined to confirm peaks around 50 bp and 200 bp.
“To verify data quality, the insert size distribution was examined to confirm peaks around 50 bp and 200 bp.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNo data were excluded from the analyses.
“No data were excluded from the analyses.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenOrganoids were infected with the lentiviral library at an initial infection rate of ~10%, ensuring 1000× coverage of the library.
“Organoids were infected with the lentiviral library at an initial infection rate of ~10%, ensuring 1000× coverage of the library.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenWild-type human gastric organoids were derived from surgical discards under an approved IRB protocol at Stanford University.
“Wild-type human gastric organoids were derived from surgical discards under an approved IRB protocol at Stanford University and cultured in standard submerged Matrigel conditions as previously described9 and as elaborated below.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAlthough TAF6L does not appear to directly regulate DNA damage-related genes, it still emerged as a significant hit, underscoring the robustness of the CRISPR screen in 3D organoids.
“Although TAF6L does not appear to directly regulate DNA damage-related genes, it still emerged as a significant hit, once again underscoring the robustness of our CRISPR screen in 3D organoids.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenExperiments shown in Figs. 1F, 2C-E, 5D, E, H, 6A, B, D, S4A, B, S7C, G and S8A were independently repeated at least twice with similar results.
“Experiments shown in Figs. 1F, 2C–E, 5D, E, H, 6A, B, D, S4A, B, S7C, G and S8A were independently repeated at least twice with similar results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenImmunoblots shown in Figs. 1A, 5E, F, 6C and S1A were independently repeated at least twice with similar results.
“Immunoblots shown in Figs. 1A, 5E, F, 6C and S1A were independently repeated at least twice with similar results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNo statistical method was used to predetermine sample size.
“No statistical method was used to predetermine sample size.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
A comprehensive understanding of gene-drug interactions using human 3D organoids has been limited by the lack of genome editing tools for high-throughput functional analysis.
“However, even with the availability of well-defined therapeutic agents that facilitate the identification of genetic background-specific drug responses, a comprehensive understanding of gene-drug interactions by using human 3D organoids has been limited by the lack of genome editing tools for high-throughput functional analysis.”
The paper relies on this without support.
The feasibility of using CRISPR screens in 3D human organoids to investigate gene-drug interactions remains to be fully established.
“However, the feasibility of using CRISPR screens in 3D human organoids to investigate gene-drug interactions remains to be fully established.”
The paper relies on this without support.
CRISPR applications in 3D organoids are more challenging than in 2D cell lines.
“While CRISPR applications in 3D organoids are more challenging than in 2D cell lines, they have been successfully used to disrupt individual genes.”
The paper relies on this without support.
GDP-fucose is the sole donor for protein fucosylation, a critical glycan modification for numerous membrane and secreted proteins.
“GDP-fucose is the sole donor for protein fucosylation, a critical glycan modification for numerous membrane and secreted proteins.”
The paper relies on this without support.
TAF6L encodes a TATA-box binding protein-associated factor 6-like protein and is a component of the PCAF histone acetylase complex.
“TAF6L encodes a TATA-box binding protein-associated factor 6-like protein and is a component of the PCAF histone acetylase complex.”
The paper relies on this without support.
TAF6L is a gene not previously reported to be associated with cisplatin sensitivity.
“We focused on TAF6L, a gene not previously reported to be associated with cisplatin sensitivity.”
The authors state this as an assumption.
The additive model (sum of single-perturbation effects) is an appropriate null for identifying synergistic gene-drug interactions.
“The predicted theoretical sum effect of conditions (1) and (2) on a given mRNA expression was depicted (“additive model”).”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Perturb-seq doxycycline induction is placed before and after infection
MajorThe Fig. 4 timeline says doxycycline induction began two days before lentiviral transduction. The Perturb-seq Methods instead say organoids were treated with doxycycline following infection.
“dCas9 fusion proteins were induced by doxycycline 2 days before lentiviral transduction of the Perturb-seq sgRNA library.”
“Following infection, organoids were treated with 500 ng/mL doxycycline (Sigma, #D3072) and cultured for 2 days before FACS sorting (BD FACS Aria2) to isolate the mCherry⁺/BFP⁺ population.”
EdU experiment gives conflicting cisplatin treatment durations
MajorThe Results describe the EdU measurement after 48 hours of cisplatin treatment, but the Fig. 6 legend specifies 24 hours for the experiment.
“After 48 h of cisplatin treatment, the EdU+ cell population significantly decreased from an average of 18.1% to 3.6% in control organoid lines (Figs. 6E and S8D).”
“Cells were treated with 2 µg/ml cisplatin for 24 h.”
Fucosylation inhibitor has opposite reported effects on cisplatin response
MajorThe Results say pharmacological inhibition of fucosylation reversed cisplatin cytotoxicity and increased the cisplatin IC50. The Discussion instead says it sensitized cells to cisplatin, reversing the conclusion drawn from that experiment.
“Accordingly, 2F-PerAc-Fuc inhibited total protein fucosylation (Fig. S7G) but reversed cisplatin cytotoxicity, evidenced by increased cisplatin IC50 (Fig. S7H).”
“Supporting this hypothesis, pharmacological inhibition of fucosylation further sensitized cells to cisplatin, validating the functional relevance of this pathway in modulating drug response.”
CRISPRi/a library size exceeds the stated guide count
MinorFive guides for each of 1952 genes gives 9760 targeting guides. Adding approximately 5% non-targeting controls yields roughly 10,300 guides, substantially fewer than the stated total of approximately 12,500.
Reported 12500 · recomputed 9760
“with a total of ~12,500 sgRNAs with 5 independent sgRNAs targeting each gene, as well as ~5% non-targeting negative control sgRNAs.”
Pooled CRISPRi/a guide reporter is identified as both GFP and BFP
MinorThe Results describe each guide construct in the CRISPRi/a libraries as expressing GFP, while the Methods identify the guide expression vector's reporter as BFP.
“Each sgRNA construct in the library expressed a GFP reporter and puromycin-resistant gene for selection”
“The expression vector contains a U6 promoter driving the sgRNA expression, as well as an EF1α promoter driving puromycin-T2A-BFP.”
CXCR4 measurements are dated five and seven days after induction
MinorThe Results place the CXCR4 flow-cytometry measurement five days after induction, whereas the Fig. 2 legend places it seven days after induction.
“Five days post-induction, iCRISPRi-sgCXCR4 organoids exhibited a decreased CXCR4-positive population (3.3%) compared to the parental iCRISPRi organoids (13.1%) (Fig. 2D).”
“CXCR4-positive cells were quantified by antibody staining and flow cytometry 7 days post-doxycycline induction.”
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Self-citationDevelopment and Applications of CRISPR-Cas9 for Genome Engineering
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Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
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“For example, CRISPRi (interference) 23 – 25 and CRISPRa (activation) 26 – 30 technologiesutilizecatalyticallyinactiveCas9(dCas9)fusedtoeithera transcriptional repressor (e.g., KRAB, Krüppel associated box) or a transcriptional activator (e.g., VPR, VP64-p65-Rta).”
Self-citationCRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696 · cited 1× · see citing works
“For example, CRISPRi (interference) 23 – 25 and CRISPRa (activation) 26 – 30 technologiesutilizecatalyticallyinactiveCas9(dCas9)fusedtoeithera transcriptional repressor (e.g., KRAB, Krüppel associated box) or a transcriptional activator (e.g., VPR, VP64-p65-Rta).”
Self-citationGenome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825 · cited 1× · see citing works
“For example, CRISPRi (interference) 23 – 25 and CRISPRa (activation) 26 – 30 technologiesutilizecatalyticallyinactiveCas9(dCas9)fusedtoeithera transcriptional repressor (e.g., KRAB, Krüppel associated box) or a transcriptional activator (e.g., VPR, VP64-p65-Rta).”
Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728 · cited 2× · see citing works
“…were calculated by calculating the log2 change in the enrichment of a sgRNA in the treated and untreated samples, subtracting the equivalent median value for all non-targeting sgRNAs, and dividing by the number of population doubling differences between the treated and untreated populations 28 .”
Self-citationAn improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
Corces, M. R., Trevino, A. E., Hamilton, E. G., Greenside, P. G., Sinnott-Armstrong, N. A., Vesuna, S., Satpathy, A. T., Rubin, A. J., Montine, K. S., Wu, B., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4396 · Cited by 2,496 · cited 1× · see citing works
“ATAC-seq assay and libraries were prepared at the MD Anderson Epi-genomics Pro fi ling Core following the protocol as previously described 59,60 with minor modi fi cations.”
Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes
Cristescu, R., Lee, J., Nebozhyn, M., Kim, K.-M., Ting, J. C., Wong, S. S., Liu, J., Yue, Y. G., Wang, J., Yu, K., et al. (2015) · Nature Medicine · doi:10.1038/nm.3850 · Cited by 2,223 · cited 1× · see citing works
“The TP53/APC double knockout (DKO) organoid line wasestablishedinourpreviousstudiesby sequentially disrupting TP53 and APC 37 , two common oncogenic loci in gastric adenocarcinoma 38,39 , from non-neoplastic human gastric organoids (Fig.”
Dixit, A., Parnas, O., Li, B., Chen, J., Fulco, C. P., Jerby-Arnon, L., Marjanovic, N. D., Dionne, D., Burks, T., Raychowdhury, R., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.038 · Cited by 1,863 · see citing works
Self-citationHighly efficient Cas9-mediated transcriptional programming
Chavez, A., Scheiman, J., Vora, S., Pruitt, B. W., Tuttle, M., P R Iyer, E., Lin, S., Kiani, S., Guzman, C. D., Wiegand, D. J., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3312 · Cited by 1,622 · see citing works
RNA-guided gene activation by CRISPR-Cas9-based transcription factors
Perez-Pinera, P., Kocak, D. D., Vockley, C. M., Adler, A. F., Kabadi, A. M., Polstein, L. R., Thakore, P. I., Glass, K. A., Ousterout, D. G., Leong, K. W., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2600 · Cited by 1,328 · see citing works
CRISPR RNA–guided activation of endogenous human genes
Maeder, M. L., Linder, S. J., Cascio, V. M., Fu, Y., Ho, Q. H., & Joung, J. K. (2013) · Nature Methods · doi:10.1038/nmeth.2598 · Cited by 1,249 · cited 1× · see citing works
“For example, CRISPRi (interference) 23 – 25 and CRISPRa (activation) 26 – 30 technologiesutilizecatalyticallyinactiveCas9(dCas9)fusedtoeithera transcriptional repressor (e.g., KRAB, Krüppel associated box) or a transcriptional activator (e.g., VPR, VP64-p65-Rta).”
Adamson, B., Norman, T. M., Jost, M., Cho, M. Y., Nuñez, J. K., Chen, Y., Villalta, J. E., Gilbert, L. A., Horlbeck, M. A., Hein, M. Y., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.048 · Cited by 1,193 · cited 5× · see citing works
“…a multiplexed lentiviral platform combining CRISPR-based genetic perturbations and single-cell RNA-seq(scRNA-seq)toaccuratelyidentifytranscriptionalpro fi lesand single-cell states affected by individual genetic perturbations, extending beyond simple bulk cellular growth phenotypes 32 – 34 (Fig.4A).”
InfluentialSelf-citationModeling colorectal cancer using CRISPR-Cas9–mediated engineering of human intestinal organoids
Matano, M., Date, S., Shimokawa, M., Takano, A., Fujii, M., Ohta, Y., Watanabe, T., Kanai, T., & Sato, T. (2015) · Nature Medicine · doi:10.1038/nm.3802 · Cited by 1,135 · see citing works
Pooled CRISPR screening with single-cell transcriptome readout.
Datlinger, P., Rendeiro, A. F., Schmidl, C., Krausgruber, T., Traxler, P., Klughammer, J., Schuster, L. C., Kuchler, A., Alpar, D., & Bock, C. (2017) · Nature Methods · doi:10.1038/nmeth.4177 · Cited by 1,096 · cited 2× · see citing works
“Additionally, single-cell RNA-sequencing pooled CRISPR screens can simultaneously sequence transcriptomes and sgRNAs from individual cells, enabling a comprehensive analysis of sgRNA-speci fi c effects on genetic regulatory networks at single-cell resolution 32 – 34 .”
Sequential cancer mutations in cultured human intestinal stem cells
Drost, J., van Jaarsveld, R. H., Ponsioen, B., Zimberlin, C., van Boxtel, R., Buijs, A., Sachs, N., Overmeer, R. M., Offerhaus, G. J., Begthel, H., et al. (2015) · Nature · doi:10.1038/nature14415 · Cited by 1,067 · cited 17× · see citing works
“In contrast, only a few genes showed increased sgRNA abundance, indicating a growth advantage phenotype upon knockout (Supplementary Data 2).”
InfluentialOptimized libraries for CRISPR-Cas9 genetic screens with multiple modalities
Sanson, K. R., Hanna, R. E., Hegde, M., Donovan, K. F., Strand, C., Sullender, M. E., Vaimberg, E. W., Goodale, A., Root, D. E., Piccioni, F., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07901-8 · Cited by 1,043 · cited 1× · see citing works
“In addition, CRISPRa-based screens are inherently less reproducible than CRISPRi or knockout screens 43 .”
Applications of CRISPR technologies in research and beyond
Barrangou, R., & Doudna, J. A. (2016) · Nature Biotechnology · doi:10.1038/nbt.3659 · Cited by 1,005 · cited 1× · see citing works
“3C and S3B; Supplementary Data 6).”
Sustained in vitro intestinal epithelial culture within a Wnt-dependent stem cell niche
Ootani, A., Li, X., Sangiorgi, E., Ho, Q. T., Ueno, H., Toda, S., Sugihara, H., Fujimoto, K., Weissman, I. L., Capecchi, M. R., et al. (2009) · Nature Medicine · doi:10.1038/nm.1951 · Cited by 906 · see citing works
Self-citationHorlbeck, M. A., Gilbert, L. A., Villalta, J. E., Adamson, B., Pak, R. A., Chen, Y., Fields, A. P., Park, C. Y., Corn, J. E., Kampmann, M., et al. (2016) · eLife · doi:10.7554/elife.19760 · Cited by 894 · cited 6× · see citing works
“To select the optimal sgRNAs targeting each gene, we relied on our previously published hCRISPRi and hCRISPRa v2 libraries and screens 57 .”
InfluentialSelf-citationOptical control of mammalian endogenous transcription and epigenetic states
Konermann, S., Brigham, M. D., Trevino, A. E., Hsu, P. D., Heidenreich, M., Cong, L., Platt, R. J., Scott, D. A., Church, G. M., & Zhang, F. (2013) · Nature · doi:10.1038/nature12466 · Cited by 803 · see citing works
Visualization and targeting of LGR5+ human colon cancer stem cells
Shimokawa, M., Ohta, Y., Nishikori, S., Matano, M., Takano, A., Fujii, M., Date, S., Sugimoto, S., Kanai, T., & Sato, T. (2017) · Nature · doi:10.1038/nature22081 · Cited by 728 · see citing works
Powell, A. E., Wang, Y., Li, Y., Poulin, E. J., Means, A. L., Washington, M. K., Higginbotham, J. N., Juchheim, A., Prasad, N., Levy, S. E., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.042 · Cited by 694 · cited 1× · see citing works
“Notably, the depletion of tumor suppressor LRIG1 , a negative regulator of ERBB receptor tyrosine kinases 40 – 42 , was identi fi ed as the top hit contributing to increased cell proliferation (Fig.”
Pervasive functional translation of noncanonical human open reading frames
Chen, J., Brunner, A., Cogan, J. Z., Nuñez, J. K., Fields, A. P., Adamson, B., Itzhak, D. N., Li, J. Y., Mann, M., Leonetti, M. D., et al. (2020) · Science · doi:10.1126/science.aay0262 · Cited by 654 · cited 2× · see citing works
“DNA libraries of T0 and T1 were prepared for deep sequencing essentially as previously described 57,58 .”
Self-citationA Genetic Map of the Response to DNA Damage in Human Cells
Olivieri, M., Cho, T., Álvarez-Quilón, A., Li, K., Schellenberg, M. J., Zimmermann, M., Hustedt, N., Rossi, S. E., Adam, S., Melo, H., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.040 · Cited by 551 · see citing works
Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing
Replogle, J. M., Norman, T. M., Xu, A., Hussmann, J. A., Chen, J., Cogan, J. Z., Meer, E. J., Terry, J. M., Riordan, D. P., Srinivas, N., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0470-y · Cited by 465 · cited 1× · see citing works
“Moreover, high sgRNA and transcript capture rates indicated a comparable quality in organoids to previous datasets in various cell lines 32,50 (Fig.”
Self-citationDrost, J., van Boxtel, R., Blokzijl, F., Mizutani, T., Sasaki, N., Sasselli, V., de Ligt, J., Behjati, S., Grolleman, J. E., van Wezel, T., et al. (2017) · Science · doi:10.1126/science.aao3130 · Cited by 461 · cited 17× · see citing works
“In contrast, only a few genes showed increased sgRNA abundance, indicating a growth advantage phenotype upon knockout (Supplementary Data 2).”
InfluentialMarin, D., Li, Y., Başar, R., Rafei, H., Daher, M., Dou, J., Mohanty, V., Dede, M., Nieto, Y., Uprety, N., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02785-8 · Cited by 458 · see citing works
Am I ready for CRISPR? A user's guide to genetic screens
Doench, J. G. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.97 · Cited by 452 · cited 2× · see citing works
“3C and S3C; Supplementary Data 7).”
Exploring genetic interaction manifolds constructed from rich single-cell phenotypes
Norman, T. M., Horlbeck, M. A., Replogle, J. M., Ge, A. Y., Xu, A., Jost, M., Gilbert, L. A., & Weissman, J. S. (2019) · Science · doi:10.1126/science.aax4438 · Cited by 392 · cited 3× · see citing works
“We also conducted a similar analysis, implementing a “ linear model ” of epistasis as previously published 52 , which reached the same conclusions.”
Self-citationThe DNA damage response to transcription stress
Lans, H., Hoeijmakers, J. H. J., Vermeulen, W., & Marteijn, J. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0169-4 · Cited by 321 · cited 1× · see citing works
“Moreover, consistent with the function of RNA polymerasesassensorsofDNAdamage-inducedlesions 45 ,inhibitionof RNA polymerase subunits, such as POLR1D , POLR2B , and BRF2 , may block sensingofDNAdamage,resulting incisplatinhypersensitivity.”
CRISPR screens in cancer spheroids identify 3D growth-specific vulnerabilities
Han, K., Pierce, S. E., Li, A., Spees, K., Anderson, G. R., Seoane, J. A., Lo, Y.-H., Dubreuil, M., Olivas, M., Kamber, R. A., et al. (2020) · Nature · doi:10.1038/s41586-020-2099-x · Cited by 311 · cited 1× · see citing works
“Recent studies have shown that phenotypes associated with CRISPR-mediated knockout of putative oncogenic loci are more pronounced when cancer cells are grown as 3D spheroids than 2D monolayers, suggesting that 3D culture systems may be particularly useful for uncovering cancer vulnerabilities 55 .”
Self-citationUnmasking Fucosylation: from Cell Adhesion to Immune System Regulation and Diseases
Li, J., Hsu, H.-C., Mountz, J. D., & Allen, J. G. (2018) · Cell Chemical Biology · doi:10.1016/j.chembiol.2018.02.005 · Cited by 256 · cited 1× · see citing works
“GMDS encodes GDP-mannose 4,6-dehydratase, which catalyzes the fi rst step in the GDP-fucose de novo synthesis pathway 53 (Fig.”
Michels, B. E., Mosa, M. H., Streibl, B. I., Zhan, T., Menche, C., Abou-El-Ardat, K., Darvishi, T., Członka, E., Wagner, S., Winter, J., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.04.003 · Cited by 222 · cited 1× · see citing works
“Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth 14 – 16 , identifying potential cancer-driving forces 17 – 19 , and uncovering key genetic events in cell differentiation 20 – 22 .”
Planas-Paz, L., Sun, T., Pikiolek, M., Cochran, N. R., Bergling, S., Orsini, V., Yang, Z., Sigoillot, F., Jetzer, J., Syed, M., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2019.04.005 · Cited by 216 · cited 1× · see citing works
“Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth 14 – 16 , identifying potential cancer-driving forces 17 – 19 , and uncovering key genetic events in cell differentiation 20 – 22 .”
An expanded universe of cancer targets
Hahn, W. C., Bader, J. S., Braun, T. P., Califano, A., Clemons, P. A., Druker, B. J., Ewald, A. J., Fu, H., Jagu, S., Kemp, C. J., et al. (2021) · Cell · doi:10.1016/j.cell.2021.02.020 · Cited by 213 · see citing works
Self-citationGenome-Scale CRISPR Screening in Human Intestinal Organoids Identifies Drivers of TGF-β Resistance
Ringel, T., Frey, N., Ringnalda, F., Janjuha, S., Cherkaoui, S., Butz, S., Srivatsa, S., Pirkl, M., Russo, G., Villiger, L., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.02.007 · Cited by 202 · see citing works
Applications of organoids for cancer biology and precision medicine
Lo, Y.-H., Karlsson, K., & Kuo, C. J. (2020) · Nature Cancer · doi:10.1038/s43018-020-0102-y · Cited by 182 · cited 2× · see citing works
“This targeted gene set includes key GO terms associated with cisplatin responses, such as RNA polymerase II complex, mediator complex, mRNA spliceosome, nucleotide-excision repair, damaged DNA binding, histone modi fi cation, and chromatin remodeling complex (Supplementary Data 3).”
Self-citationLo, Y.-H., Kolahi, K. S., Du, Y., Chang, C.-Y., Krokhotin, A., Nair, A., Sobba, W. D., Karlsson, K., Jones, S. J., Longacre, T. A., et al. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1109 · Cited by 174 · cited 3× · see citing works
“Building on our previous study that Cas9 integration enhances CRISPR knockout ef fi ciency in gastric organoids 9 , we fi rst generated stable Cas9-expressing TP53/APC DKO organoids using lentiviral transduction (Fig.”
Self-citationTakeda, H., Kataoka, S., Nakayama, M., Ali, M. A. E., Oshima, H., Yamamoto, D., Park, J.-W., Takegami, Y., An, T., Jenkins, N. A., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1904714116 · Cited by 172 · cited 1× · see citing works
“Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth 14 – 16 , identifying potential cancer-driving forces 17 – 19 , and uncovering key genetic events in cell differentiation 20 – 22 .”
Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs
Jost, M., Santos, D. A., Saunders, R. A., Horlbeck, M. A., Hawkins, J. S., Scaria, S. M., Norman, T. M., Hussmann, J. A., Liem, C. R., Gross, C. A., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-019-0387-5 · Cited by 164 · cited 1× · see citing works
“CRISPRi and CRIS-PRa offer the advantages of precise, adjustable gene expression without causing genomic indels or the nonspeci fi c toxicity associated with Cas9-induced DNA double-strand breaks 31 .”
Self-citationKampmann, M., Bassik, M. C., & Weissman, J. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307002110 · Cited by 123 · cited 1× · see citing works
“…the drug sensitivity phenotype represents the normalized difference in abundance between the treated and untreated populations for each sgRNA 44 , where positive scores indicate that gene knockdown or activation confers protection against drug treatment (enrichment of sgRNA abundance of the…”
Self-citationELOF1 is a transcription-coupled DNA repair factor that directs RNA polymerase II ubiquitylation
van der Weegen, Y., de Lint, K., van den Heuvel, D., Nakazawa, Y., Mevissen, T. E. T., van Schie, J. J. M., San Martin Alonso, M., Boer, D. E. C., González-Prieto, R., Narayanan, I. V., et al. (2021) · Nature Cell Biology · doi:10.1038/s41556-021-00688-9 · Cited by 114 · cited 1× · see citing works
“Notably, ELOF1 , a recently identi fi ed transcription elongation factorthatplays animportant rolein transcription-coupled nucleotide-excision repair 47 , and LEO1 , a subunit of the polymerase-associated factor 1 (Paf1) complex RNA polymerase that is required for RNA polymerase II removal in…”
CRISPR Approaches to Small Molecule Target Identification
Jost, M., & Weissman, J. S. (2018) · ACS Chemical Biology · doi:10.1021/acschembio.7b00965 · Cited by 88 · cited 18× · see citing works
“In contrast, only a few genes showed increased sgRNA abundance, indicating a growth advantage phenotype upon knockout (Supplementary Data 2).”
InfluentialSelf-citationZwick, R. K., Kašpárek, P., Palikuqi, B., Viragova, S., Weichselbaum, L., McGinnis, C. S., McKinley, K. L., Rathnayake, A., Vaka, D., Nguyen, V. Q., et al. (2024) · Nature Cell Biology · doi:10.1038/s41556-023-01337-z · Cited by 87 · see citing works
Deterministic evolution and stringent selection during preneoplasia
Karlsson, K., Przybilla, M. J., Kotler, E., Khan, A., Xu, H., Karagyozova, K., Sockell, A., Wong, W. H., Liu, K., Mah, A., et al. (2023) · Nature · doi:10.1038/s41586-023-06102-8 · Cited by 83 · cited 17× · see citing works
“Finally, our oncogene-engineered human tumor organoids represent a pre-cancerous stage 9,37 , meaning the gene-speci fi c dependencies and biological processes identi fi ed may be distinct to early cancer development as opposed to established tumors.”
InfluentialSelf-citationA functional genetic toolbox for human tissue-derived organoids
Sun, D., Evans, L., Perrone, F., Sokleva, V., Lim, K., Rezakhani, S., Lutolf, M., Zilbauer, M., & Rawlins, E. L. (2021) · eLife · doi:10.7554/elife.67886 · Cited by 71 · cited 1× · see citing works
“While some of these methods have been tested on a small scale 35,36 , they have not yet been fully adopted for large-scale screens in tissue-derived organoids.”
Pre-mRNA processing factors meet the DNA damage response
Montecucco, A., & Biamonti, G. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00102 · Cited by 69 · cited 1× · see citing works
“In addition, in agreement with the importance of pre-mRNA processing factorsintheDNAdamageresponse 46 ,severalmRNA3 ′ endprocessing factors and RNA-binding proteins were identi fi ed, such as CPSF2 , ZFP36L2 , and SRSF7 .”
Murakami, K., Terakado, Y., Saito, K., Jomen, Y., Takeda, H., Oshima, M., & Barker, N. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2016806118 · Cited by 62 · cited 1× · see citing works
“Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth 14 – 16 , identifying potential cancer-driving forces 17 – 19 , and uncovering key genetic events in cell differentiation 20 – 22 .”
Hansen, S. L., Larsen, H. L., Pikkupeura, L. M., Maciag, G., Guiu, J., Müller, I., Clement, D. L., Mueller, C., Johansen, J. V., Helin, K., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg4055 · Cited by 55 · cited 1× · see citing works
“Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth 14 – 16 , identifying potential cancer-driving forces 17 – 19 , and uncovering key genetic events in cell differentiation 20 – 22 .”
TAF5L and TAF6L Maintain Self-Renewal of Embryonic Stem Cells via the MYC Regulatory Network
Seruggia, D., Oti, M., Tripathi, P., Canver, M. C., LeBlanc, L., Di Giammartino, D. C., Bullen, M. J., Nefzger, C. M., Sun, Y. B. Y., Farouni, R., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.03.025 · Cited by 51 · cited 2× · see citing works
“Thiswassupported by its known role in embryonic stem cell self-renewal 54 and our fi ndings on its importance in cisplatin sensitivity and maintenance of chromatin accessibility.”
Lin, L., DeMartino, J., Wang, D., van Son, G. J. F., van der Linden, R., Begthel, H., Korving, J., Andersson-Rolf, A., van den Brink, S., Lopez-Iglesias, C., et al. (2023) · Science · doi:10.1126/science.adi2246 · Cited by 50 · see citing works
Mircetic, J., Camgöz, A., Abohawya, M., Ding, L., Dietzel, J., Tobar, S. G., Paszkowski‐Rogacz, M., Seidlitz, T., Schmäche, T., Mehnert, M., et al. (2023) · Small Methods · doi:10.1002/smtd.202201605 · Cited by 40 · see citing works
SOX9 maintains human foetal lung tip progenitor state by enhancing WNT and RTK signalling
Sun, D., Llora Batlle, O., van den Ameele, J., Thomas, J. C., He, P., Lim, K., Tang, W., Xu, C., Meyer, K. B., Teichmann, S. A., et al. (2022) · The EMBO Journal · doi:10.15252/embj.2022111338 · Cited by 38 · cited 1× · see citing works
“While some of these methods have been tested on a small scale 35,36 , they have not yet been fully adopted for large-scale screens in tissue-derived organoids.”
Liang, J., Wei, J., Cao, J., Qian, J., Gao, R., Li, X., Wang, D., Gu, Y., Dong, L., Yu, J., et al. (2023) · Genome Biology · doi:10.1186/s13059-023-03084-8 · Cited by 27 · cited 1× · see citing works
“Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth 14 – 16 , identifying potential cancer-driving forces 17 – 19 , and uncovering key genetic events in cell differentiation 20 – 22 .”
Wang, Y., Shi, C., Lu, Y., Poulin, E. J., Franklin, J. L., & Coffey, R. J. (2015) · The American Journal of Pathology · doi:10.1016/j.ajpath.2014.12.014 · Cited by 26 · see citing works
Yu, S., Yang, M., Lim, K.-M., Cho, Y., Kim, H., Lee, K., Jeong, S.-H., Coffey, R. J., Goldenring, J. R., & Nam, K. T. (2018) · The American Journal of Pathology · doi:10.1016/j.ajpath.2018.08.006 · Cited by 19 · cited 1× · see citing works
“Notably, the depletion of tumor suppressor LRIG1 , a negative regulator of ERBB receptor tyrosine kinases 40 – 42 , was identi fi ed as the top hit contributing to increased cell proliferation (Fig.”
Tiwari, V., Kulikowicz, T., Wilson, D. M., & Bohr, V. A. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab458 · Cited by 18 · cited 1× · see citing works
“…elongation factorthatplays animportant rolein transcription-coupled nucleotide-excision repair 47 , and LEO1 , a subunit of the polymerase-associated factor 1 (Paf1) complex RNA polymerase that is required for RNA polymerase II removal in response to DNA damage, were identi fi ed 48,49 .”
Deterministic evolution and stringent selection during pre-neoplasiaPreprint
Karlsson, K., Przybilla, M. J., Kotler, E., Khan, A., Xu, H., Karagyozova, K., Sockell, A., Wong, W. H., Liu, K. T. H., Mah, A. T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.09.487529 · Cited by 15 · see citing works
Self-citationThe Paf1 complex is required for RNA polymerase II removal in response to DNA damage
Chen, F., Liu, B., Zhou, H., & Long, J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2207332119 · Cited by 11 · cited 1× · see citing works
“…elongation factorthatplays animportant rolein transcription-coupled nucleotide-excision repair 47 , and LEO1 , a subunit of the polymerase-associated factor 1 (Paf1) complex RNA polymerase that is required for RNA polymerase II removal in response to DNA damage, were identi fi ed 48,49 .”
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Gene regulation by non-Coding RNAs in infertility: a mechanistic review
Borji, A., Aram, C., Ziyadloo, F., Zadeh, M. R., Rouzbahani, K. A., Kazemi, M., Barancheshmeh, M., Alishvandi, A., & Daraei, A. (2025) · Journal of Ovarian Research · doi:10.1186/s13048-025-01862-5 · Cited by 20 · see citing works
Single-cell sequencing and organoids: applications in organ development and disease
Li, T., Yin, J., Hao, Y., Gao, W., Li, Q., Feng, Q., Tao, B., Hao, M., Liu, Y., Lin, C., et al. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00364-6 · Cited by 19 · see citing works
“Organoid technology not only reveals the enigmas of life’s self-organization but also drives advancements in regenerative medicine and personalized therapy, offering unlimited potential for human health diseases [37, 38].”
A tumour-derived organoid biobank maps cancer gene dependencies
Herranz‐Ors, C., Bhosle, S. G., Beck, A. E., Gilbert, J. G. R., Picco, G., Valle-Inclán, J. E., Muyas, F., Valentini, S., Andres, A. E., Ansari, R., et al. (2026) · Nature · doi:10.1038/s41586-026-10830-y · Cited by 10 · see citing works
“Genome-wide CRISPR screens in tumour organoids are rare 42,56 , yet we map dependencies across a diverse biobank and achieved cell line-level quality despite the added complexity of 3D culture.”
Mastering Organoid Growth: A Complete Guide to Overcoming Methodological Challenges
Jiao, C., Karakaya, O. F., Dadgar, N., Wehrle, C. J., Massoud, Z., Hong, H., Fairchild, R. L., Leipzig, N. D., Aucejo, F., Ma, W. W., et al. (2026) · MedComm · doi:10.1002/mco2.70571 · Cited by 8 · see citing works
“Integrating organoids with single-cell multiomics [ 204–206 ], CRISPR-based perturbation screens [ 207, 208 ], and spatial transcriptomics [ 209, 210 ] will enable deeper insights into cell to cell communication and tissue organization.”
Organoid Models: Revolutionizing Disease Modeling and Personalized Therapeutics
Xue, Z., Yang, R., Liu, Y., & Luo, H. (2026) · Organoids · doi:10.3390/organoids5010009 · Cited by 5 · see citing works
“Integrating multi-omics data with CRISPR screening results in the establishment of a complete genotype-to-phenotype validation pipeline, offering functional evidence for precision medicine [92,93].”
Breaking and Remaking: Using Organoids to Model Gastric Tissue Damage and Repair
Liddelow, N., Tan, J. Y., & Flanagan, D. J. (2025) · Organoids · doi:10.3390/organoids4030020 · Cited by 3 · see citing works
“A recent study utilised large-scale CRISPR screening to show the feasibility of studying gene–drug interactions in organoids [103].”
Reconstructing tumor tissues in 3D: From organoids to bioengineered niches
Kast, V., Navaee, F., Halvaei, M., Liebau, S., Azoitei, N., Breunig, M., Loskill, P., & Kleger, A. (2026) · Cell stem cell · doi:10.1016/j.stem.2026.03.005 · Cited by 5 · see citing works
Deconstructing cancer in 3D: models, mechanisms, and personalized solutions
Huang, Z., Duan, X., Ji, J., Cai, Q., Jin, P., Yu, B., & (48506), J. Z. (2026) · Molecular Cancer · doi:10.1186/s12943-026-02704-8 · Cited by 4 · see citing works
“CRISPR-based genetic screens performed in resistant organoid systems can identify synthetic lethal interactions specific to the resistant state, directly nomi-nating candidate therapeutic targets [219].”
Biofabrication of Vascularized Tissues
Schimelman, J. B., Sun, Y., Lyu, C., Lu, T.-Y., Yao, E. J., Huang, L., Altera, A. K., Xiang, Y., & Chen, S. (2026) · Chemical Reviews · doi:10.1021/acs.chemrev.5c00914 · Cited by 2 · see citing works
Wu, W., & Wāng, Y. (2026) · Archives of Toxicology · doi:10.1007/s00204-026-04496-8 · Cited by 2 · see citing works
Neto, M. B. B., Jatana, S., Rieder, F., & Ivanov, A. I. (2026) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2026.2650549 · Cited by 1 · see citing works
“Additionally, CRISPR-based dropout screens in organoids have begun to map out synthetic lethal interactions that discover gene pairs where individual loss is tolerated but combined loss is lethal [94].”
From CRISPR functional genomics to synthetic interventions: engineering antiviral strategies
Qiao, W. (2026) · Journal of Virology · doi:10.1128/jvi.00057-26 · Cited by 1 · see citing works
Protein succinylation in disease: Mechanistic insights and therapeutic targeting
Li, W., & Li, J. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102183 · Cited by 1 · see citing works
Sayahpour, F. A., Nejati, M., Jolfayi, A. G., Shahrokhi, S., Azimi, A., Mihankhah, A., Tamimi, M., Gousias, C., Tafazoli, P., Aly, M. H., et al. (2026) · Vascular Pharmacology · doi:10.1016/j.vph.2026.107607 · Cited by 1 · see citing works
Organoids glimpse: the nexus for diverse tumor heterogeneity
Xu, J., Feng, Q., Xia, Y., Liao, L., Dai, Z., Cai, Z., & Xie, S. M. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1817560 · Cited by 1 · see citing works
“…et al., 2022; Wang D. et al., 2025), striking a balance between biological fidelity and experimental manipulability (Mao et al., 2024; Kluiver et al., 2024; Diao et al., 2024; Alieva et al., 2024; Nguyen et al., 2024; Lo et al., 2025; Uijtte et al., 2025; Herpers et al., 2022; Tebon et al., 2023).”
Liu, N., Zhang, Y., Liu, Y., Dong, X., Li, Y. D., Geng, J., & Li, Y. (2026) · Journal of the Korean Gastric Cancer Association · doi:10.5230/jgc.2026.26.e25 · Cited by 1 · see citing works
“Moreover, large-scale CRISPR screens have identified novel therapeutic targets and clarified the molecular mechanisms underlying gastric carcinogenesis [104].”
Mitochondrial Stress Orchestrates Tumor Immune Evasion and Immunotherapy Resistance
Bılır, A., Yıldırım, B., & Karalök, M. H. (2026) · Cells · doi:10.3390/cells15100890 · Cited by 1 · see citing works
“Future studies should integrate genetic perturbation with multi-omic readouts, including single-cell transcriptomics, metabolomics, and immunopeptidomics, to establish causal links between mitochondrial function, antigen presentation, and immune response [87].”
He, Z.-B., & Duan, X. (2026) · Animals and zoonoses. · doi:10.1016/j.azn.2026.06.007 · Cited by 1 · see citing works
Organoid Perturbations as Tools to Explore Cellular Function and Plasticity
Kohl, K. E., & Busslinger, G. A. (2026) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-120324-024252
Stem Cells in Aging and Anti-Aging
Bai, Z., & Li, Z. (2026) · Stem Cell Reviews and Reports · doi:10.1007/s12015-026-11093-w
Zemnou, C. T., & Ngakam, R. (2026) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-026-02070-8
“Recent advances in optimized lentiviral delivery and ribonucleoprotein electroporation have improved editing efficiency in these systems, although challenges with heterogeneous editing and limited reagent penetration persist [27, 28].”
Zhang, L., Zhang, Y., Chi, Y., Ren, Y., Zhao, Q., & Zhao, D. (2026) · Journal of Visualized Experiments · doi:10.3791/70727
Hattori, K., Kirisako, H., Matsuo, M., & Ota, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.21.733630
Yeung, J., Tan, J., Wang, L., Wu, D., Carlos, S. M., Kageyama, J., Kamm, J., Chu, B. B., Mayba, O., Forrest, W. F., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.10.737863
“These successes have inspired efforts to map large-34 scale perturbation responses across cultured cell lines [8], primary cells [9], complex in vitro models [10], and in vivo tissues [11].”
Nanomedicine-Based Therapeutic Strategies for Next-Generation Cancer Immunotherapy
Tan, B. S. N., & Zhao, Y. (2026) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6c11314
The Great Escape: the systems biology of endocrine resistance and lineage plasticity
Dragnev, C. P. C., Fu, Z., Huang, S., Perry, C. J., Kahn, A. M., Dinan, M. A., Tan, W. S., Leapman, M. S., Braun, D. A., Warrick, J., et al. (2026) · Endocrine Related Cancer · doi:10.1530/erc-26-0130
“In addition, recent advancements have used CRISPR screens within PDOs to elucidate complex drug–gene interactions and identity potential mechanisms of resistance (72).”
Step-brothers in arms, SAGA and ATAC co-activator complexes, use different strategies
Rizzo, F., Shem, A. B., Timmers, H. T. M., Bartke, T., Vincent, S. D., & Tora, L. (2026) · The EMBO Journal · doi:10.1038/s44318-026-00892-z
“Surprisingly, TAF6L was identi-fi ed in this screen as a regulator of cell recovery factor from cisplatin-induced cytotoxicity (Lo et al, 2025).”
Tao, Y., Wang, Y., Wang, P., Wang, B., Lv, X., & Feng, Y. (2026) · Bone Research · doi:10.1038/s41413-026-00579-5
“211,212 This scalability supports systematic discovery of susceptibility pathways and accelerates the development of personalized therapeutic strategies for ONFH.”
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Advances in organoids for drug development: From discovery to delivery
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Akhtar, M. S., & Amin, A. (2026) · Functional & Integrative Genomics · doi:10.1007/s10142-026-02026-4
“Primary gastric organoids also enabled genome-scale identification of genes controlling cisplatin responses (Lo et al. 2025 ).”
High‐Content CRISPR Screening: Methods and Applications
Zhang, Y., Zhang, Y., Tang, X., Deng, X., Zhou, Y., Wu, Y., & Luo, J. (2026) · MedComm · doi:10.1002/mco2.70964
Fırat, Y., & Kılıçaslan, Y. (2026) · Biology · doi:10.3390/biology15191782
“Large-scale CRISPR knockout, CRISPR interference, and CRISPR activation screens in gastric organoids have further demonstrated the feasibility of examining gene-drug interactions in 3D systems [37].”
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Perturbations at scale: Transforming our understanding of cell biology by changing the genome
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Gastric organoid/organ-on-a-chip platforms for disease modeling and personalized medicine: a review
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Mi, C., Liu, X., Tang, X., et al. (2026) · Translational Oncology · doi:10.1016/j.tranon.2026.103065
- Authors
- Lo, Y.-H., Horn, H. T., Huang, M.-F., Yu, W.-C., Young, C.-M., Liu, Q., Tomaske, M., Towers, M., Dominguez, A., Bassik, M. C., Lee, D.-F., Qi, L. S., Weissman, J. S., Chen, J., & Kuo, C. J.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Stanford Medicine (US)
- Sana Biotechnology (United States) (US)
- Stanford University (US)
- Howard Hughes Medical Institute (US)
- Altos Labs
- Corresponding author
- Lo, Yuan-Hung
- Chen, Jin
- Kuo, Calvin J.
- ORCID
- Venue
- Nature Communications
- Published
- 2025-08-14
- Volume
- 16
- Issue
- 1
- Pages
- 7566-7566
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC12354852
- OpenAlex
- W4413139962
- Semantic Scholar
- 306fe56d4d5b9a4de12be73a14dcdbee9c2f3137
- Cited by
- 37
- References
- 61
- Citations by year
- 2026: 34 · 2025: 3
- FWCI
- 9.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nature Communications (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Cancer Prevention and Research Institute of Texas (RR200095)
- Ludwig Institute for Cancer Research
- Emerson Collective
- National Institutes of Health (5k99ca263014-02, U19AI116484, R01 CA246130, U01CA217851, R00GM134154, AI116484, U54CA224081, 1RM1 HG009490, U01CA199241, 5r00ca263014-05)
- University of Texas MD Anderson Cancer Center
- Stand Up To Cancer
- National Cancer Institute (K00 CA212433, R01CA246130, U54 CA224081, U01CA199241, U01CA217851)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- drug-gene interactions, cisplatin sensitivity, gastric cancer, CRISPR screen, CRISPR interference, CRISPR activation, single-cell transcriptomics, fucosylation, drug resistance, precision oncology, single-cell CRISPR screens
- MeSH terms
- Antineoplastic Agents, Cisplatin, Humans, Organoids, Stomach, Stomach Neoplasms, Single-Cell Analysis, CRISPR-Cas Systems
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