Cited by 37CRISPR and Genetic EngineeringChromatin Remodeling and CancerCancer Cells and Metastasis

Large-scale CRISPR screening in primary human 3D gastric organoids enables comprehensive dissection of gene-drug interactions

Open access
Lo, Yuan-Hung, Horn, Hudson T., Huang, Mo-Fan, Yu, Wei-Chieh, Young, Chia-Mei, Liu, Qing, Tomaske, Madeline, Towers, Martina +7 more·2025·Nature Communications

Abstract

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.

AI snapshot

Written from the paper’s full text.

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.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41467-025-62818-3

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

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
  • 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).

    Premisecitation

    Primary 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.

    Premisecitation

    CRISPR 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.

    Premisecitation

    Organoids 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).

    Premisecitation

    Several 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).

    Premisecitation

    CRISPR 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 checked
    • cites [5] Hsu, P. D., Lander, E. S. & Zhang, F. Development and applications of CRISPR-Cas9 for genome engineering. Cell 157, 1262–1278 (2014). source
    • cites [6] Barrangou, R. & Doudna, J. A. Applications of CRISPR technologies in research and beyond. Nat. Biotechnol. 34, 933–941 (2016). source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    In 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.

    Premisecitation

    Some 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.

    Premisecitation

    Perturb-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.

    Premisecitation

    Single-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.

    Premisecitation

    CRISPRi 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 data

    The 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).

    Premisecitation

    CRISPRi 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).

    Premisecitation

    Previous 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 data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    Over 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 claim
  • May combine two claims.

    Findingown data

    mCherry-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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    Doxycycline 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 claim
  • May combine two claims.

    Findingown data

    POLR1D, 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 claim
  • May combine two claims.

    Findingown data

    9 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    MYC 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • The quote only partly states this claim.

    Findingown data

    Divergent 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    Knockdown 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 claim
  • May combine two claims.

    Findingown data

    2F-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 claim
  • The quote only partly states this claim.

    Findingown data

    Similar 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 claim
  • May combine two claims.

    Findingnone given

    These 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 claim
  • May combine two claims.

    Findingown data

    A 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    Numerous 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 claim
  • May combine two claims.

    Findingown data

    Compared 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    Re-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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    TAF6L 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The coverage distribution of proposed sgRNA identities was bimodal.

    “The coverage distribution was bimodal.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    Human 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 claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisereasoning

    By 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 claim
  • May combine two claims.

    Interpretationnone given

    The 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 claim
  • May combine two claims.

    Interpretationown data

    The 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 claim
  • May combine two claims.

    Interpretationown data

    The 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    GMDS 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.

    Interpretationreasoning

    This 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 claim
  • May combine two claims.

    Interpretationown data

    Multiplexed 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    ZKSCAN2 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    All 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    Experiments 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    For 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The experiments performed in this study were randomized.

    “The experiments performed in this study were randomized.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Approximately 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 claim
  • May combine two claims.

    Study design and conductreasoning

    Lentivirus 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    To 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    No data were excluded from the analyses.

    “No data were excluded from the analyses.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    Organoids 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    Wild-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 claim
  • May combine two claims.

    Interpretationown data

    Although 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Immunoblots 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    No statistical method was used to predetermine sample size.

    “No statistical method was used to predetermine sample size.”
    Quote in the paperNot a substantial claim
66 of 66
  • 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”).”
7 of 7

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

    Major

    The 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.

  • EdU experiment gives conflicting cisplatin treatment durations

    Major

    The Results describe the EdU measurement after 48 hours of cisplatin treatment, but the Fig. 6 legend specifies 24 hours for the experiment.

  • Fucosylation inhibitor has opposite reported effects on cisplatin response

    Major

    The 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.

  • CRISPRi/a library size exceeds the stated guide count

    Minor

    Five 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

  • Pooled CRISPRi/a guide reporter is identified as both GFP and BFP

    Minor

    The 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.

  • CXCR4 measurements are dated five and seven days after induction

    Minor

    The Results place the CXCR4 flow-cytometry measurement five days after induction, whereas the Fig. 2 legend places it seven days after induction.

6 of 6

Cites

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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.
Venue
Nature Communications
Published
2025-08-14
Volume
16
Issue
1
Pages
7566-7566
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4413139962
Cited by
37
References
61
Citations by year
2026: 34 · 2025: 3
FWCI
9.18
Type
journal article
Language
en
Open access
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-23.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-23.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

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