A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screens
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In Brief A highly multiplexed CRISPRi screen uncovers gene-enhancer relationships at scale.
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- Findingown data
In the pilot experiment, a median of 15 ± 11.3 gRNAs per cell was identified.
“we identified a median of 15 ± 11.3 gRNAs per cell (Figure 2C).”
Quote in the paperSubstantial claim - Findingcitation
A known enhancer 3.6 kb upstream of GATA1 was re-identified.
“Additionally, we re-identified a known enhancer 3.6 kb upstream of GATA1 (Fulco et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fulco et al., 2016 source
Not checked in the free run.
- Findingown data
Paired enhancers are separated from the TSS of their target genes by a median distance of 24.1 kb.
“We find that of the class of enhancers surveyed here (nonintronic, unbuffered by other enhancers), paired enhancers are separated from the TSS of their target genes by a median distance of 24.1 kb (Figure 6A, top row).”
Quote in the paperNot a substantial claim - Findingown data
In this study, only about 10% of the tested candidate enhancers showed cis changes in gene expression.
“Although it may be surprising that cis changes in gene expression were identified for only ~10% of the candidate enhancers tested here”
Quote in the paperNot a substantial claim - Findingown data
The observed false-positive rate is consistent with the 10% FDR used to call pairs (p=0.21).
“This false-positive rate is consistent with the 10% FDR that we used to assign a threshold for calling pairs (p value on whether 3/16 disagrees with 10% FDR = 0.21).”
Quote in the paperSubstantial claim
- Findingown data
A high-confidence subset of 470 enhancer-gene pairs was defined.
“Putting these sets together, we annotated 470 enhancer-gene pairs as high-confidence (Table S2B), involving 441 candidate enhancers (Figure S2C) and impacting expression of 353 target genes.”
Quote in the paperSubstantial claim - Findingown data
Housekeeping genes were underrepresented among target genes (2.1-fold and 3.9-fold depletions).
“Second, housekeeping genes were underrepresented, relative to all tested genes (hypergeometric test p value = 3e–5 and 2.1-fold depleted using the housekeeping gene list of Eisenberg and Levanon [2013]; hypergeometric test p value = 2e–6 and 3.9-fold depleted using the housekeeping gene list of Lin et al. [2017]).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Eisenberg and Levanon [2013]
Not checked in the free run.
- cites Lin et al. [2017]
Not checked in the free run.
- Findingown data
All 9 experiments predicted to cause >30% repression had significant replication effects (cis adjusted p<0.1).
“For all 9 experiments predicted to cause >30% repression, replication effects were also significant in a test of differential expression (cis adjusted p value <0.1).”
Quote in the paperSubstantial claim - Findingown data
Of the 105 downregulated target genes, 26 were impacted by targeting of more than one of the 128 candidate enhancers.
“Of the 105 downregulated target genes (Figure S1B), 26 were impacted by targeting of more than one of the 128 candidate enhancers (Figure S1A).”
Quote in the paperNot a substantial claim - Findingown data
Effect sizes for the 664 pairs ranged from −1.4% to −97.5% target gene repression.
“These ranged in effect size from −1.4% to −97.5% target gene repression (Figure 3H).”
Quote in the paperNot a substantial claim - Findingown data
The scaled experiment identified a total of 664 enhancer-gene pairs involving 479 target genes.
“we collectively identified a total of 664 enhancer-gene pairs (Table S2B). As 113 genes were downregulated by targeting of more than one candidate enhancer, these pairs involved 479 target genes (Figure 3G).”
Quote in the paperSubstantial claim - Findingown data
RNA flowFISH showed decreased NMU expression in singleton CRISPRi populations targeting NMU's TSS (−79%) and e-NMU (−73%).
“we also applied RNA flowFISH (Choi et al., 2018) and again observed decreased NMU expression in singleton CRISPRi populations targeting NMU’s TSS (−79% less NMU than untreated cells) and e-NMU (−73% less NMU, Figure 4H, ii–iii).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Choi et al., 2018 source
Not checked in the free run.
- Findingown data
Paired enhancers were more likely to intersect with K562 super-enhancers.
“Overall, 474 of the 5,779 candidate enhancers that we tested fell within 65 K562 super-enhancers (Cao et al., 2017); however, a much higher proportion of high-confidence paired enhancers belonged to this set (102/441).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cao et al., 2017 source
Not checked in the free run.
- Findingown data
Six TF pairs had sequence motifs co-enriched in enhancer-promoter pairs.
“We identified 6 TF pairs whose sequence motifs were co-enriched in this way, suggesting potential interactions (Table S4E).”
Quote in the paperNot a substantial claim - Findingown data
The 353 target genes' expression levels are distributed similarly to the full set of 10,560 tested genes.
“First, their expression levels are distributed similarly to the full set of 10,560 genes against which we tested (Figure 6C), suggesting we are reasonably well-powered to detect regulatory effects on even modestly expressed genes.”
Quote in the paperSubstantial claim - Findingown data
Only a minority of hits are called as proximate to their target genes based on Hi-C.
“Although enriched for proximity, we note that only a minority of our hits are called as proximate to their target genes based on this analysis;”
Quote in the paperSubstantial claim - Findingown data
At the 10% FDR threshold, 600 of 5,779 candidate enhancers repressed 1+ gene(s) within 1 Mb.
“At this same threshold, of the 5,779 candidate enhancers, we identified 600 as repressing 1+ gene(s) within 1 Mb.”
Quote in the paperSubstantial claim - Findingnone given
A highly multiplexed CRISPRi screen can uncover gene-enhancer relationships at scale.
“A highly multiplexed CRISPRi screen uncovers gene-enhancer relationships at scale.”
Quote in the paperNot a substantial claim - Findingreasoning
The pilot analysis yielded a total of 145 enhancer-gene pairs.
“this analysis yielded a total of 145 enhancer-gene pairs (Table S1B).”
Quote in the paperNot a substantial claim - Findingown data
In the pilot experiment, each candidate enhancer or control was targeted in a median of 516 ± 177 cells.
“Each candidate enhancer or control was targeted in a median of 516 ± 177 cells (Figure 2D).”
Quote in the paperSubstantial claim - Findingown data
The degree of repression conferred by CRISPRi at increasing MOI was well-correlated (Spearman's rho 0.73 to 0.87).
“we compared the degree of repression conferred by CRISPRi at increasing MOI (median 1 versus 15 versus 28 gRNAs per cell), and found them to be well-correlated (Spearman’s rho’s ranging from 0.73 to 0.87; Figure 7C).”
Quote in the paperSubstantial claim - Findingown data
On average, the degree of repression conferred by targeting a TSS in both high MOI experiments was only ~6% less than in the low MOI experiment.
“On average, the degree of repression conferred by targeting a TSS in both high MOI experiments was only ~6% less than by targeting it in the low MOI experiment (Figure 7D).”
Quote in the paperSubstantial claim - Findingown data
High-confidence pairs ranged in effect size from −7.9% to −97.5%.
“These ranged in effect size from −7.9% to −97.5% (Figure 3H).”
Quote in the paperNot a substantial claim - Findingown data
5,611 of 12,984 genes expressed in K562 fell within 1 Mb of at least one candidate enhancer.
“5,611 of the 12,984 genes expressed in K562 cells fell within 1 Mb of at least one candidate enhancer (K562-expressed genes defined as those observed in at least 0.525% of cells profiled in this pilot experiment).”
Quote in the paperNot a substantial claim - Findingown data
The low MOI experiment identified only 316 TSSs and 69 enhancer-gene pairs, compared to 359 TSSs and 226 enhancer-gene pairs in the high MOI pilot.
“At a 10% empirical FDR, only 316 TSSs and 69 enhancer-gene pairs were identified in the low MOI experiment, as compared with 359 TSSs and 226 enhancer-gene pairs in the high MOI pilot experiment, validating the substantial increase in power resulting from multiplexed perturbation (Figure 1B).”
Quote in the paperSubstantial claim - Findingown data
A quantile-quantile plot showed an excess of significant associations involving targeting of candidate enhancers relative to NTC controls.
“A quantile-quantile plot showed an excess of significant associations involving the targeting of candidate enhancers relative to NTC controls (Figure 2E).”
Quote in the paperSubstantial claim - Findingown data
At the 3.5% FDR threshold, targeting of 11% of candidate enhancers (128 of 1,119) repressed 1+ gene(s) within 1 Mb.
“At this same threshold, targeting of 11% of candidate enhancers (128 of the 1,119) repressed 1+ gene(s) within 1 Mb.”
Quote in the paperSubstantial claim - Findingown data
In singleton replication, 12 of 15 enhancer-gene pairs had similar effect sizes in magnitude and direction.
“For 12/15 replication experiments targeting candidate enhancers associated with downregulation of a target gene, the effect sizes were similar in magnitude and direction of effect (Figures 4A–4D and S5).”
Quote in the paperSubstantial claim - Findingown data
Targeting e-PTGER3 consistently repressed PTGER3 in pilot, scaled, and singleton experiments.
“In each of the three experiments, targeting of e-PTGER3 consistently repressed expression of PTGER3.”
Quote in the paperNot a substantial claim - Findingown data
In multivariate logistic regression, BRD4, H3K4me1, TRIM24, p300, H3K27ac, ETS1, and ZNF274 were the only significant predictors.
“BRD4, H3K4me1, TRIM24, p300, H3K27ac, ETS1, and ZNF274 were the only significant predictors in a multivariate logistic regression (p value <0.01, Table S4B).”
Quote in the paperSubstantial claim - Findingown data
Presence of the NR2C2 motif in a paired promoter was associated with presence of a KLF1 or RXRA motif in the corresponding paired enhancer.
“For example, presence of the NR2C2 motif (implicated in regulation of the globins [Tanabe et al., 2007]) in a paired promoter was associated with presence of a KLF1 or RXRA motif in the corresponding paired enhancer.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tanabe et al., 2007 source
Not checked in the free run.
- Findingown data
A pilot-trained classifier informed by biochemical marks did not appreciably increase hit rate in the at-scale screen.
“Additionally, we note that although we identified many genomic features that were significantly correlated with the likelihood of belonging to an identified pair, a pilot-trained classifier informed by biochemical marks did not appreciably increase our hit rate in the at-scale screen.”
Quote in the paperSubstantial claim - Findingown data
None of the 6 null candidate enhancer lines significantly decreased expression of a gene within 1 Mb (cis adjusted p>0.1).
“Of the 6 lines targeting a “null” candidate enhancer, none significantly decreased expression of a gene located within 1 Mb of the target (cis adjusted p values >0.1).”
Quote in the paperSubstantial claim - Findingown data
A multivariate logistic regression classifier using these features achieved an AUPR of 0.31.
“we trained a multivariate logistic regression classifier to distinguish the 128 paired candidate enhancers from the 991 candidate enhancers for which we did not identify a target gene, achieving an AUPR of 0.31 (area under precision-recall curve; median from 5-fold cross validation; Figure S1D).”
Quote in the paperNot a substantial claim - Findingown data
TF motifs for TAL1, KLF-1, -3, -4, -5, -8, GATA-1, -2, -3, and AP2C were enriched in paired enhancers.
“Similarly, motifs for a largely distinct set of known blood TFs (TAL1, KLF-1, −3, −4, −5, −8, and GATA-1, −2, −3) and AP2C were enriched in the inclusive set of 600 paired enhancers, as compared to the overall set of 5,779 candidate enhancers tested (Table S4D).”
Quote in the paperNot a substantial claim - Findingown data
Although enriched for sequence-level proximity, one-third of enhancer-gene pairs involved skipping of at least one closely located TSS of another K562-expressed gene.
“(3) although enriched for sequence-level proximity, one-third of enhancer-gene pairs involved skipping of at least one closely located TSS of another K562-expressed gene.”
Quote in the paperSubstantial claim - Findingown data
TF motifs for KLF-1, -5, -6, -15, SALL4, and ZN281 were enriched in promoters of paired-target genes.
“Motifs for the known blood TFs KLF-1, −5, −6, −15, leukemogenesisrelated SALL4, and the MYC-interacting ZN281 were enriched in the promoters of the inclusive set of 479 paired-target genes, as compared to the promoters of all genes within 1 Mb of a tested candidate enhancer (Table S4D).”
Quote in the paperNot a substantial claim - Findingown data
Multiplexing gRNAs within individual cells, even to MOIs of ~28, does not dilute the efficacy of CRISPRi.
“Overall, these results suggest that multiplexing gRNAs within individual cells, even to MOIs of ~28, does not dilute the efficacy of CRISPRi.”
Quote in the paperSubstantial claim - Findingown data
Effect sizes on the most highly repressed genes for gRNA pairs targeting the same candidate enhancer were well-correlated (Spearman's rho 0.73).
“Furthermore, the effect sizes on the most highly repressed genes for gRNA pairs targeting the same candidate enhancer were well-correlated (Spearman’s rho for % repression: 0.73; Figure S2B).”
Quote in the paperSubstantial claim - Findingnone given
Targeting 1,119 candidate enhancers in K562 with CRISPRi is feasible.
“To establish the feasibility of the assay formerly known as crisprQTL mapping, we targeted 1,119 candidate enhancers in the chronic myelogenous leukemia cell line K562, with CRISPRi as our mode of perturbation.”
Quote in the paperSubstantial claim- Rests on an assumption: The targeted DHSs function as enhancers.
- Rests on an assumption: K562 cells are a suitable model for human enhancer-gene regulation.
- Findingown data
Low-confidence enhancer-gene pairs were also enriched for proximity to their target genes, with a median distance of 45.0 kb.
“Interestingly, low-confidence enhancer-gene pairs (i.e., the subset of the 600 that were not high-confidence and also fall upstream; n = 127) were also enriched for proximity to their target genes, suggesting that a substantial proportion of these are bona fide enhancers (Figure 6A, second row; median distance of 45.0 kb).”
Quote in the paperNot a substantial claim - Findingown data
None of the TF pairs identified in either analysis had corresponding ChIP-seq datasets or high quality consensus motifs for both TFs, preventing cross-confirmation.
“Unfortunately, none of the TF pairs identified in either analysis had corresponding ChIP-seq datasets or high quality consensus motifs for both TFs involved in the pair, preventing cross-confirmation between the two modalities of analysis.”
Quote in the paperNot a substantial claim - Findingown data
In the scaled experiment, 78,776 potential cis regulatory relationships were evaluated involving 5,779 candidate enhancers and 10,560 expressed genes.
“In the scaled experiment, we evaluated 78,776 potential cis regulatory relationships involving 5,779 candidate enhancers and 10,560 expressed genes.”
Quote in the paperSubstantial claim - Findingnone given
Although enriched for proximity in 3D space as measured by Hi-C, the majority of enhancer-gene pairs are not identified as contacts in such datasets.
“(2) although enriched for proximity in 3D space as measured by Hi-C, the majority of enhancer-gene pairs are not identified as contacts in such data-sets,”
Quote in the paperSubstantial claim - Findingown data
High conservation as measured by median phyloP scores was not enriched in paired candidate enhancers.
“Of note, high conservation as measured by median phyloP scores (Pollard et al., 2010) was not enriched in these candidate enhancers as compared to all tested candidate enhancers (independent logistic regression p values >0.5).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pollard et al., 2010 source
Not checked in the free run.
- Findingown data
Introducing multiple perturbations per cell markedly increases power.
“Introducing multiple perturbations per cell markedly increases power (Figure 1B).”
Quote in the paperSubstantial claim - Findingown data
The eight most significantly enriched features were p300, BRD4, H3K27ac, TBL1XR1, TAL1, GATA2, DPF2, and RNF2.
“but the eight most significant were co-activators (p300 logistic regression p value = 1e–46, candidate enhancers in the top quintile were 1.8-fold more likely to be paired than those in the bottom quintile; BRD4 p value = 2e–33, 1.6-fold), an enhancer-associated histone modification H3K27ac (p value = 8e–37, 1.6-fold), the MYC activator TBL1XR1 (p value = 2e–34, 1.5-fold), and line-age-specific T”
Quote in the paperSubstantial claim - Findingown data
Effect sizes were correlated with expression levels (Spearman's rho 0.53).
“effect sizes were correlated with expression levels (Spearman’s rho 0.53; Figure S5D).”
Quote in the paperSubstantial claim - Findingown data
153/770 (33%) of enhancer-gene pairs involved skipping of at least one closely located TSS of another K562-expressed gene.
“Nonetheless, 153/770 (33%) of enhancer-gene pairs involved skipping of at least one closely located TSS of another K562-expressed gene (Figure 6B).”
Quote in the paperNot a substantial claim - Findingown data
24 TF pairs were co-enriched in enhancer-promoter pairs via ChIP-seq data.
“We identified 24 TF pairs that are “co-enriched” in enhancer-promoter pairs (Table S4E).”
Quote in the paperNot a substantial claim - Findingown data
Presence of the GATA3 motif in a paired promoter was associated with absence of a KLF1 motif in the corresponding paired enhancer.
“On the other hand, presence of the GATA3 motif in a paired promoter was associated with the absence of a KLF1 motif in the corresponding paired enhancer.”
Quote in the paperNot a substantial claim - Findingown data
High-confidence enhancer-gene pairs are enriched for physical proximity as measured by Hi-C.
“Upon plotting the fractional ranks of high-confidence pairs, we found their contact frequencies to be strongly enriched at the highest ranks (Kolmogorov-Smirnov [K-S] test against a uniform distribution p value <2e 16, Figure 6E).”
Quote in the paperSubstantial claim - Findingown data
29% of enhancers did not fall within the same TAD as their target gene.
“Furthermore (1) 29% of enhancers did not fall within the same TAD as their target gene,”
Quote in the paperSubstantial claim - Findingown data
Paired target genes were enriched for genes with roles in leukocyte migration and differentiation.
“Finally, paired target genes were enriched for genes with roles in leukocyte migration and differentiation, consistent with distal enhancers shaping the expression of K562-specific genes (Table S4A).”
Quote in the paperNot a substantial claim - Findingown data
Monocle was susceptible to inflating P-values when a gene was highly expressed but only in few cells.
“We noted Monocle was susceptible to inflating P-values when a gene was highly expressed but only in few cells.”
Quote in the paperSubstantial claim - Findingown data
High-MOI and low-MOI experiments produced well-correlated effect sizes.
“the effect sizes observed in our high MOI versus low MOI experiments were well correlated.”
Quote in the paperSubstantial claim - Findingown data
Only one immune-system related pathway showed pathway-level enrichment.
“we only observed pathway-level enrichment of one immune-system related pathway (Table S4A)”
Quote in the paperSubstantial claim - Findingown data
Regressing out each of these factors modestly boosted sensitivity in DE testing.
“In practice, we observe a modest boost in sensitivity when regressing out each of these factors in DE testing.”
Quote in the paperNot a substantial claim - Findingown data
Size factors typically used to account for variation in total UMI counts across cells did not sufficiently correct for the strong correlation between counts of the gRNA/dCas9 transcript and the target transcript.
“we observed that size factors typically used to account for variation in total UMI counts across cells did not appear to sufficiently correct for the strong correlation between the counts of two transcripts (the gRNA transcript / dCas9 and the target) that results from variation in total UMI counts across cells.”
Quote in the paperSubstantial claim - Findingown data
Even for those enriched perturbations, only about 10% of cells with the target perturbed fell into the cluster where enrichment was detected.
“However, even in these cases, only 10% of cells in which the target is perturbed actually fall into the cluster in which they are found to be enriched.”
Quote in the paperSubstantial claim - Findingown data
Six transcription factor motif pairs were co-enriched across paired promoters and enhancers, with Benjamini-Hochberg corrected P < 0.1 in both the 479 paired promoter and 600 paired enhancer analyses.
“The six TFe × TFp co-enriched couples that had a Benjamini Hochberg corrected P-value < 0.1 for both the 479 paired promoter analysis and the 600 paired enhancers analysis were described in the main text and Table S4E.”
Quote in the paperSubstantial claim - Findingown data
Overall correlation of deletion lengths to full-length efficacy was very high.
“Overall correlation of all these deletion lengths to full length efficacy was very high (Figure S7B).”
Quote in the paperSubstantial claim - Findingown data
The paired candidate enhancers in this study are predicted by the strength of enhancer-associated marks such as H3K27ac and p300.
“the fact that our paired candidate enhancers are predicted by the strength of enhancer-associated marks (e.g., H3K27ac, p300)”
Quote in the paperSubstantial claim - Interpretationown data
The multiplexed enhancer-gene pair screening method has the potential to help address the challenge of understanding the regulatory landscape.
“Our multiplexed enhancer-gene pair screening method has the potential to help address this challenge.”
Quote in the paperSubstantial claim - Interpretationown data
These analyses support the view that a prevailing characteristic of housekeeping genes may be a dearth of distal regulatory elements.
“Although these analyses support the view that a prevailing characteristic of housekeeping genes may be a dearth of distal regulatory elements (Ganapathi et al., 2005; Gasperini et al., 2017), we cannot fully rule out that the possibility that this result is influenced by our choice of candidate enhancers to target.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationown data
Targeting candidate enhancers with more than two gRNAs could modestly increase sensitivity.
“Overall, this analysis suggests that targeting candidate enhancers with more than two gRNAs could modestly increase our sensitivity.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The correlation between effect sizes and expression levels is likely consequent to power, as small effects are more challenging to detect on lowly expressed genes.
“This is likely consequent to power, as small effects are more challenging to detect on lowly expressed genes.”
Quote in the paperNot a substantial claim - Premisecitation
Prior cell-based CRISPR screens for regulatory sequences focus on regulation of a single gene per experiment, typically requiring a gene-specific assay.
“First, they focus on the regulation of a single gene per experiment, typically entailing the development of a gene-specific assay.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
By delivering a median of 28 perturbations to each of 207,324 cells, the experiment was powered equivalently to a 'one gRNA per cell' experiment profiling 5.8 million single cell transcriptomes.
“By delivering a median of 28 perturbations to each of 207,324 cells, this experiment was powered equivalently to a “one gRNA per cell” experiment profiling 5.8 million single cell transcriptomes.”
Quote in the paperNot a substantial claim - Interpretationown data
Proximity plays a very strong role in governing enhancer-promoter choice.
“this supports a very strong role for proximity in governing enhancer-promoter choice.”
Quote in the paperSubstantial claim - Premisecitation
Nine recently published CRISPR screens of noncoding sequences cumulatively studied regulatory effects on a total of 17 genes.
“In contrast, nine recently published CRISPR screens of noncoding sequences cumulatively studied regulatory effects on a total of 17 genes (Canver et al., 2015; Diao et al., 2016, 2017; Fulco et al., 2016; Gasperini et al., 2017; Klann et al., 2017; Korkmaz et al., 2016; Rajagopal et al., 2016; Sanjana et al., 2016).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The vast majority (~90%) of gRNAs are either wild-type or harbor 1 bp deletions that create zero-to-little effect on CRISPRi efficacy.
“Thus, the vast majority (~90%) are either wild-type or harbor 1 bp deletions that create zero-to-little effect on CRISPRi efficacy.”
Quote in the paperNot a substantial claim - Study design and conductnone given
Some enhancers required for the initial establishment rather than maintenance of gene expression could be missed in a screen in a stable immortalized cell line.
“some enhancers required for the initial establishment rather than maintenance of gene expression could be missed in a screen in a stable immortalized cell line”
Quote in the paperNot a substantial claim - Interpretationreasoning
The observed cluster enrichments are not expected to compromise the screen, because a chronic false-positive source would require the gRNAs targeting those global-change genes to be non-randomly associated with other gRNAs in the library.
“Thus, this is not expected to compromise the screen, as in order to be a chronic source of false positives, the gRNAs targeting these global-change genes would have to be non-randomly associated with other gRNAs in the library.”
Quote in the paperSubstantial claim - Interpretationreasoning
The evidence weakens the case for elements that were negative.
“simultaneously weakens the case for elements that were negative”
Quote in the paperNot a substantial claim - Interpretationreasoning
The left tail of reduced high-MOI repression efficacy is likely an artifact caused by those genes being lower expressed and/or represented by fewer cells in the sparsely sampled low-MOI pilot, making fold-change estimates noisier.
“We reasoned that this could be an artifact of these genes being more lowly expressed and/or being represented by fewer cells given the sparse sampling of the pilot library in the low MOI experiment.”
Quote in the paperSubstantial claim - Interpretationown data
There is no evidence for a substantial effect of dCas9-BFP-KRAB or guide counts on the observed effect size for a given enhancer-gene pair.
“Based on this, we conclude there is not evidence for a substantial effect of dCas9-BFP-KRAB or guide counts on the observed effect size for a given enhancer-gene pair.”
Quote in the paperSubstantial claim - Study design and conductown data
gRNAs may be variably effective in targeting enhancers.
“gRNAs may be variably effective in targeting enhancers (Figure S2B)”
Quote in the paperNot a substantial claim - Study design and conductnone given
The study did not comprehensively survey the noncoding landscape surrounding each gene.
“we did not comprehensively survey the noncoding landscape surrounding each gene”
Quote in the paperNot a substantial claim - Interpretationreasoning
The paired candidate enhancers identified are bona fide enhancers.
“supports the assertion that we are identifying bona fide enhancers”
Quote in the paperSubstantial claim
- May combine two claims. 42
- Classified as probably not a substantial claim. 38
- The quote only partly states this claim. 2
May combine two claims.
Findingown data20 genes were linked with two candidate enhancers, and 6 genes with three or four, located within the same super-enhancer.
“More specifically, 20 genes were linked with two candidate enhancers, and 6 genes were linked with three or four candidate enhancers, that were located within the same super-enhancer (Table S4C).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf 359 positive control TSSs, 35 reduced expression of 1+ additional genes, yielding 45 apparent promoter-promoter relationships.
“Of our 359 “positive control” TSSs whose targeting successfully repressed the expected gene in both experiments, 35 reduced expression of 1+ additional genes (45 apparent promoter-promoter relationships in total).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the scaled experiment, 207,324 single cells were profiled and a median of 28 ± 15.3 gRNAs per cell was identified.
“We profiled the transcriptomes of 207,324 single cells and identified a median of 28 ± 15.3 gRNAs per cell (Figure 3C).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data24 candidate enhancers are paired with multiple target genes.
“Of note, 24 candidate enhancers are paired with multiple target genes (Figure S2D);”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe remaining 30 apparent promoter-promoter relationships are largely not enriched for proximity to affected genes, with a median distance of 405.3 kb.
“However, these 30 are largely not enriched for proximity to affected genes (Figure S5A; median distance of 405.3 kb, similarly restricted to upstream tests), in contrast with enhancer-gene pairs (median distance = 24.1 kb).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe high-confidence pairs involved 441 candidate enhancers and impacted 353 target genes.
“involving 441 candidate enhancers (Figure S2C) and impacting expression of 353 target genes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt a 10% empirical FDR, 97% (369 of 381) of TSS-targeting positive controls repressed their associated genes, as did all β-globin LCR controls.
“Using the NTCs to set a more inclusive empirical FDR of 10%, 97% (369 of 381) of TSS-targeting positive controls repressed their associated genes, as did all β-globin LCR controls.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHomozygous deletion lines for 3 enhancers all had expected direction and magnitude of effect, with stronger effect sizes than CRISPRi.
“These homozygously deleted lines all had the expected and magnitude of direction of effect (Figure 4E–4G), indeed with stronger effect sizes than seen by CRISPRi perturbation in the scRNA-seq screen (effect size with deletion: e-NMU = −100%, e-CITED2 = −57%, e-GLUL = 67%; Table S3B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPairs identified in both experiments had stronger effect sizes, better correlated effect sizes, and involved more highly expressed genes than pairs identified in only one experiment.
“The pairs identified in both experiments had stronger effect sizes (median 25% versus 13% repression), better correlated effect sizes (Spearman’s rho for % repression: 0.82 versus 0.13; Figure S2A), and involved more highly expressed genes (median0.90 versus 0.63 UMIs per cell), than pairs identified in only one experiment.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPaired candidate enhancers were enriched for high ChIP-seq peak strength for H3K27ac, p300, and lineage-specific TFs (GATA1, GATA2, SMAD1, TAL1, CCNT2), whereas RNA Pol II and H3K4me1 were not associated.
“We found paired candidate enhancers to be enriched for high chromatin immunoprecipitation sequencing (ChIP-seq) peak strength (based on average enrichment in ChIP-seq peak region) for enhancer-associated histone modifications (H3K27ac, logistic regression p value = 4e 5, candidate enhancers in the top quintile were 1.4-fold more likely to be paired than those in the bottom quintile), certain co-a”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt a 3.5% empirical FDR threshold, 94% (357 of 381) of TSS-targeting positive controls repressed their associated genes, as did all β-globin LCR controls.
“At this threshold, 94% (357 of 381) of TSS-targeting positive controls repressed their associated genes, as did all β-globin LCR controls (examples shown in Figure 2F).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor 377 re-targeted candidate enhancers, 84 were directed at the same candidate enhancers by original and new gRNA pairs, a 2.4-fold enrichment (hypergeometric p=4e-33).
“Of these, 84 were directed at the same candidate enhancers, a highly significant overlap (hypergeometric test of overrepresentation p value 4e–33; 2.4-fold enriched over expectation).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data105 of 978 candidate enhancers were identified as paired in both experiments, a 3.3-fold enrichment over expectation (hypergeometric p=7e-45).
“Of these, 105 were identified in both experiments (hypergeometric test of overrepresentation p value 7e–45; 3.3-fold enriched over expectation).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHigh-confidence candidate enhancers were enriched for strong peaks in 169 K562 ChIP-seq datasets, with 87 significantly enriched.
“we tested if the 441 high-confidence candidate enhancers were enriched for strong peaks in 169 K562 ChIP-seq datasets (ENCODE Project Consortium, 2012). We identified 87 that were significantly enriched (threshold of an adjusted p value <0.005)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites ENCODE Project Consortium, 2012
Not checked in the free run.
May combine two claims.
Findingown dataOf high-confidence pairs re-tested, 13/16 matched direction and magnitude, while 3/16 failed to validate.
“In summary, of the high confidence pairs that we re-tested by singleton CRISPRi and/or singleton CRISPR-mediated deletion, 13/16 matched with respect to both their direction and magnitude of effect size, whereas 3/16 failed to validate.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNeither the absolute distance to center of DHS peak nor the absolute distance to center of overlapping p300 peak correlated with enhancer-gene pair effect size (Pearson's r 0.02 and 0.07, respectively).
“However, neither the absolute-distance-to-center-of-DHS-peak (Pearson’s r:0.02) nor the absolute-distance-to-center-of-overlapping-p300-peak correlated with effect size (Pearson’s r: 0.07).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn scRNA-seq data, about 70% of gRNAs carried a 1 bp deletion, about 8% a 2 bp deletion, and about 2% a 3 bp deletion.
“In the scRNA-seq data, ~70% of gRNA carried a 1 bp deletion, ~8% carried a 2 bp deletion, and ~2% carried a 3 bp deletion (Figure S7A).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSome genes with roles in inflammation are among the paired target genes, including NMU and IL6.
“although some genes with roles in inflammation are among our paired target genes (e.g., NMU, IL6)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the low-versus-high MOI comparison, the repression ratio distributions were centered at one, indicating largely equivalent repression, but a left tail contained tests with reduced estimated efficacy in high MOI experiments.
“Despite the distributions of the ratios described above being centered at one, which indicates largely equivalent repression in high and low MOI experiments, there was a left tail, representing a smaller number of tests with reduced estimated efficacy in the high MOI experiments.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor 3 bp deletions, the ratio of reduction to full-length gRNA reduction was 0.908 for high-confidence pairs and 0.644 for TSS controls.
“However, for 3 bp deletions (very rare), the ratio was 0.908 (high confidence pair) or 0.644 (TSS control).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data1 bp deletions did not correlate with significant disruption of CRISPRi efficacy in scRNA-seq data; the ratio of 1 bp deletion reduction to full-length gRNA reduction was 1.01 for high-confidence enhancer-gene pairs and 0.958 for TSS controls.
“Fortunately, 1 bp deletions did not correlate with significant disruption of CRISPRi efficacy in the scRNA-seq data. (1 bp deletion % reduction) / (full length gRNA reduction) ratio was 1.01 (high confidence enhancer-gene pair) or 0.958 (TSS control).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThree of the 381 TSS controls fell into the category of highly expressed in few cells.
“Three of our 381 TSS controls fell into this category.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataTargeting the TSS of CITED2 did not seem to successfully repress CITED2's expression, potentially due to inaccuracy of one of two technical replicates.
“To note, targeting the TSS of CITED2 did not seem to successfully repress CITED2’s expression, though this is potentially due to inaccuracy of 1 of 2 technical replicates for this sample.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataMost indels in the gRNA backbone were small deletions in bases 8 to 14, so the reported rates in Figure S7A were restricted to those 7 bp.
“However, it should be noted that the overwhelming majority of all indels were small deletions observed in bases 8 to 14 or so; thus, rates provided in Figure S7A are limited to these 7 bp.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown datagRNA-groups with an impacted spacer were rare among the 145 significant enhancer-gene pairs.
“gRNA-groups with an impacted spacer were rare in our 145 significant enhancer-gene pairs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor 2 bp deletions, the ratio of reduction to full-length gRNA reduction was 0.959 for high-confidence pairs and 0.806 for TSS controls.
“For 2 bp deletions, this ratio was also not extreme (0.959 (high confidence pair) or 0.806 (TSS control)).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn Sanger sequencing of final gRNA plasmid libraries and in the 8-15 bp downstream of the spacer, about 80% of gRNAs had a small insertion or deletion, mostly 1 bp deletions, between the spacer and the R primer.
“we identified that ~80% of gRNAs harbored a small insertion or deletion (vast majority 1 bp deletions, Figure S7A) in between the spacer and the R primer 5-acttgctaTGCTGTTTCCAGC-3 used in the initial amplification of spacer-oligos.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataScaling the expression values by the total number of cells observed per gRNA group did not appreciably change the overall distributions of the ratios.
“We note that this scaling does not appreciably impact the overall distributions in this case.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataUMI counts provide a cleaner distribution than read counts and were used in all calculations.
“we find that UMI counts provide a much cleaner distribution than read counts and have used UMI counts in all calculations.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the pilot experiment, NTCs showed inflation when tested against genes highly impacted by perturbing gRNAs, due to subtle nonrandom associations of gRNA-groups across cells, potentially from slight bottlenecking at transduction.
“In the pilot experiment, we identified inflation of NTCs when testing them against genes highly impacted by perturbing-gRNA in our library (for example, NTCs associated with targets of our TSS and globin LCR controls). This was due to subtle yet detectable nonrandom associations of gRNA-groups with other gRNA-groups across cells, potentially due to slight bottlenecking at the transduction level”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the at-scale single-cell dataset, 8 TSS controls and 6 candidate enhancers were enriched in specific tSNE clusters, with odds ratio > 5 and adjusted P < 0.01.
“8 TSS controls and 6 candidate enhancers were enriched within specific clusters (odds ratio > 5, adjusted P-value < 0.01).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf 470 enhancer-gene pairs, only 2 had a significant association with dCas9-BFP-KRAB count and 10 with guide count at adjusted P < 0.01.
“Of the 470 enhancer-gene pairs, only 2 and 10 had any significant (adjusted P-value <0.01; 7 and 27 for adjusted P-value < 0.05) association with dCas9-BFP-KRAB count or guide count respectively”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data15 of the 45 apparent promoter-promoter relationships involved overlapping promoters, so the CRISPRi effect is likely direct.
“15 of these 45 involved overlapping promoters (TSSs within 1 kb), such that the observed effect of CRISPRi is likely direct.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationOne recent study used scRNA-seq for CRISPR perturbations of 71 candidate regulatory elements on ~100 genes in seven genomic regions, but its power and scope was limited by low MOI and a gRNA barcoding strategy with ~50% template switching.
“Of note, one recent study used scRNA-seq as a readout for the effects of CRISPR-based perturbations of 71 candidate regulatory elements on ~100 genes in seven genomic regions (Xie et al., 2017). However, its power and scope was limited by a low MOI (Figure 1B) and a gRNA barcoding strategy that suffers from a ~50% rate of template switching (Hill et al., 2018; Xie et al., 2018).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Premisenone givenPrior cell-based CRISPR screens introduce one CRISPR perturbation per cell, with gRNAs usually at low MOI.
“Second, each cell is a vehicle for one CRISPR-mediated perturbation, with the specificity-conferring guide-RNAs (gRNAs) usually introduced via lentivirus at a low multiplicity of infection (MOI).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted).
Interpretationown dataThe remaining 30 apparent promoter-promoter relationships are more likely consequent to trans effects of repressing the primary target.
“We therefore hypothesize that these are more likely consequent to trans effects of repressing the primary target of these TSS-targeting gRNAs.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe screen's resolution is not constrained by linkage disequilibrium and is not limited to sites with common genetic variants.
“unlike eQTL studies, the resolution of our screen is not constrained by linkage disequilibrium, nor is it limited to studying sites in which common genetic variants happen to exist.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThese observations underscore the difficulty of the prediction task.
“These observations underscore the difficulty of the prediction task,”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe method was revised to the one defined above after discussion and review of eQTL literature.
“However, upon further discussion and review of the eQTL literature, we revised our method to the one defined above.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataIn the pilot library, initial FlashFry quality annotations failed to label a small number of protospacers with perfect repeat off-targets, allowing their inclusion (81 of 2,238 spacers; only 9 gRNA-groups with both spacers affected).
“Our initial FlashFry quality annotations when designing the pilot experiment did not label a small number of protospacers with perfect repeat off-targets, permitting their inclusion in our library (81 of 2,238 spacers ordered in the pilot library; only 9 gRNA-groups with both spacers affected).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenHEK293T cells were authenticated by visual inspection.
“HEK293Ts were authenticated by visual inspection.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataMotifs seen in the bottom quartile of promoter frequency were excluded from TF pair analysis due to insufficient power.
“Motifs in the bottom quartile of how often seen in a promoter were excluded for lack of power.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe original method for calling the 145 enhancer-gene pairs from the pilot dataset used a universal P-value cutoff corresponding to a 3.5% empirical FDR.
“This original threshold corresponded to a 3.5% empirical FDR rate, as defined above.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningTo avoid this problem, outlier genes expressed in <20,000 cells in either the high-MOI 47,650-cell dataset and/or the scaled 207,324-cell dataset, and with log10(total UMIs / cells with a UMI) > 0.2 greater than predicted by a spline fit, were excluded (35 genes total).
“we excluded outlier genes that were expressed in < 20,000 cells in either the high-MOI 47,650-cell dataset and/or the scaled 207,324-cell dataset, and with log10(total UMIs / cells with a UMI) > 0.2 greater than predicted by a spline fit generated via smooth.spline() with spar = 0.85 to limit overfitting (35 genes total).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataChIP-seq datasets in the bottom quartile of overlap with paired enhancers or promoters were excluded for power, leaving 168 TFe and 166 TFp datasets.
“ChIP-seq datasets that that were in the bottom quartile of how-often-overlapping with a paired enhancer or promoter were excluded for power (leaving 168 TFe and 166 TFp).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe marks used to define candidate enhancers may exclude some classes of distal regulatory elements.
“the marks we used to define candidate enhancers may be excluding some classes of distal regulatory elements.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data8% of remaining gRNAs harbor 2 bp deletions that also largely do not affect CRISPRi efficacy.
“8% of the remaining gRNA harbor 2 bp deletions that also largely do not affect CRISPRi efficacy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationown dataThree replication attempts matched direction and magnitude of effect but were not significant, potentially due to lack of power because only two RNA replicates were sequenced per sample.
“The 3 that matched direction and magnitude of effect but were not significant in a test of differential expression potentially were not detectable due to lack of power, as we sequenced only two RNA replicates per sample.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataTo exclude this inflation in the pilot dataset, Fisher's exact test was used to identify nonrandom assortment between an NTC and a perturbing gRNA (adjusted P < 0.01 and odds ratio > 1), and tests of an NTC against a gene within 1 Mb of that gRNA's group were excluded.
“we used Fisher’s exact test to identify when an NTC was nonrandomly assorted with a perturbing-gRNA (adjusted P-value < 0.01 & odds ratio > 1). Then, any test of an NTC against a gene within 1 Mb of that gRNA’s gRNA-group was excluded from further analytical steps.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenLibraries were sequenced to ~20% sequencing saturation.
“All libraries were sequenced to ~20% sequencing saturation.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe appropriate effect sizes can be obtained with the method using coefficients output by VGAM, as verified by power simulations.
“We verified data from our power simulations that the appropriate effect sizes can be obtained with this method using the coefficients output by VGAM.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFifteen gRNAs targeting the HBE1 TSS and HS1-4 of the Globin LCR were chosen as validated from prior studies.
“15 gRNAs targeting the HBE1 TSS, and HS1–4 of the Globin LCR were chosen as validated from Klann et al. (2017) and Xie et al. (2017).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataA singleton dataset for chr6:34191315-34191338 (paired with HMGA1 in pilot) did not reproduce between pilot and at-scale screen and was not included in the high-confidence enhancer-gene pair set.
“we additionally generated singleton datasets for chr6:34191315–34191338 (paired with HMGA1 in the pilot screen), but did not include this in analysis as it did not reproduce between the pilot and at-scale screen, and thus was not part of our high confidence enhancer-gene pair set.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Study design and conductown dataThe monoclonal lines used for bulk RNA sequencing were validated to carry complete e-NMU deletions with no wild-type alleles remaining, using two rounds of genotyping PCR.
“Clones that harbored full deletions with no remaining wild-type alleles were submitted to bulkRNA-sequencing (Figures 4E–4G).”
- Also stated in: § METHOD DETAILS · plain
“Second, to confirm homozygosity, primers internal to the deleted region were used to identify candidates that still harbored wild-type alleles (Figure S4A; Table S3D).”
Quote in the paperSubstantial claim- Also stated in: § METHOD DETAILS · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA limitation of enhancer-gene pair screening as implemented here is the resolution of CRISPRi.
“A limitation of enhancer-gene pair screening as implemented here relates to the resolution of CRISPRi.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenK562 cells were authenticated by bulk/single-cell RNA-seq and visual inspection.
“K562s were authenticated by bulk/single-cell RNA-seq and visual inspection.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe 128 DHSs selected again by the logistic regression model were not removed because doing so would bias remaining DHSs away from the same annotations.
“Note that we did not remove the 128 DHSs that had been selected again by the logistic regression model, because doing so would bias our remaining DHSs away from the same annotations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenPCR was monitored by qPCR to avoid overamplification, and each reaction was stopped immediately before saturation.
“PCR was monitored by qPCR to avoid overamplification, and each reaction was stopped immediately before it reached saturation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrior work has found shadow enhancers that mask the effects of perturbing individual enhancers.
“previous studies have identified shadow enhancers acting to mask the effects of perturbing individual enhancers (Hong et al., 2008)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hong et al., 2008 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe small insertions/deletions were inferred to result from slippage of the KHF polymerase copying the secondary structure of the first stem extension loop added as part of the sgOPTI backbone.
“We inferred that this is due to slippage of the KHF polymerase as it copies the secondary structure of the first stem extension loop added as part of the more stable sgOPTI backbone.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenPCRs for e-NMU genotype enrichment were monitored with SybrGreen on a qPCR and stopped before overamplification to prevent excessive PCR bias.
“PCRs were spiked with SybrGreen, and monitored on a qPCR to allow removal before overamplification to prevent excessive PCR biases.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenNot all enhancers may be susceptible to dCas9-KRAB perturbation.
“not all enhancers may be susceptible to dCas9-KRAB perturbation”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningTo account for this, an additional term log10(total_umis) was added to both full and reduced models and all size factors were set to 1.
“To account for this, we added an additional term to both the full and reduced model “~ log10(total_umis)” and set all size factors to 1.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningFor distance-to-TSS analysis, only enhancers located upstream of the target gene were included, because gene body length would confound distances for downstream enhancer-gene pairs.
“To note, in Figure 6A and to calculate the median distance, we have only used enhancers that are upstream of the target gene, as the length of the gene body would confound distance-to-TSS measurements for downstream enhancer-gene pairs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationK562 cells are a pseudotriploid ENCODE Tier I erythroleukemia cell line derived from a 53-year-old female with chronic myelogenous leukemia.
“K562s cells are a pseudotriploid ENCODE Tier I erythroleukemia cell line derived from a female (age 53) with chronic myelogenous leukemia (Zhou et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zhou et al., 2017
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationLikely chimeric reads were detected and removed to reduce noise in gRNA-cell assignments.
“Likely chimeric reads are detected and removed to reduce noise in the assignments as previously described.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataFor the scaled experiment, the number of guide RNAs observed in a cell, the percentage of mitochondrial transcripts, and the prep batch were regressed out in differential expression testing.
“we regressed out the number of guide RNAs observed in a cell (as a proxy for the number of integrants), the percentage of total transcripts observed that are mitochondrial, and the prep batch”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataBecause the logistic regression classifier is biased toward annotations used to select the initially targeted candidate enhancers, submodular subset selection was used to include DHSs optimized for a diversity of epigenomic features.
“Because the logistic regression classifier is biased toward the annotations that were used to select the initially targeted candidate enhancers (Figure 2A), we additionally used submodular subset selection to include DHSs optimized for a diversity of epigenomic features (Wei et al., 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wei et al., 2015
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims. The quote only partly states this claim.
Study design and conductcitationgRNA-cell assignments used thresholds for minimum total reads and UMI counts for a gRNA-cell pair and for the proportion of CROP-seq transcript reads accounted for by each gRNA to distinguish noise from real assignments.
“We utilized thresholds to set minimum acceptable values for the total reads for a gRNA-cell pair and for the proportion of all CROP-seq transcript reads accounted for by each gRNA observed in a cell to distinguish noise from real assignments (Hill et al., 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hill et al., 2018 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe off-target annotation error was fixed for evaluating gRNA quality in the scaled experiment.
“This error was fixed for evaluating gRNA quality in the scaled experiment.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The targeted DHSs function as enhancers.
“The 1,119 candidate enhancers were all intergenic DNase I hypersensitive sites (DHSs) representing various combinations of H3K27 acetylation, p300, GATA1, and RNA Pol II binding (Figure 2A).”
The paper relies on this without support.
CRISPRi targeting a candidate enhancer directly represses its target gene.
“For CRISPRi, we used a nuclease-inactive Cas9 tethered to the KRAB repressor domain to induce heterochromatin across an ~1–2 kb window around a gRNA’s target site (Thakore et al., 2015).”
The paper relies on this without support.
K562 cells are a suitable model for human enhancer-gene regulation.
“we targeted 1,119 candidate enhancers in the chronic myelogenous leukemia cell line K562, with CRISPRi as our mode of perturbation.”
The paper relies on this without support.
The eQTL-inspired association framework is valid for mapping enhancer-gene pairs in this cellular screen.
“An association framework inspired by eQTL studies (Morley et al., 2004; Stranger et al., 2012) is used to map cis and trans effects by comparing gene expression in the subset of cells that contain a given gRNA to those that lack that guide.”
The paper relies on this without support.
The classifier trained on the pilot experiment can identify candidate enhancers in the scaled experiment.
“First, two-thirds of these (n = 3,853) were new DHSs chosen by the classifier trained on the first experiment (Figures 3A and S1D).”
The paper relies on this without support.
K562 cells are a suitable model for studying human enhancer-gene regulation.
“K562s cells are a pseudotriploid ENCODE Tier I erythroleukemia cell line derived from a female (age 53) with chronic myelogenous leukemia (Zhou et al., 2017).”
The paper relies on this without support.
The dCas9-KRAB CRISPRi system does not produce substantial off-target effects that confound enhancer-gene mapping.
“K562 cells expressing dCas9-BFP-KRAB (Addgene #46911, polyclonal) were a gift of the Bassik lab, grown at 37°C, and cultured in RPMI 1640 + L-Glutamine (GIBCO) supplemented with 10% fetal bovine serum (Rocky Mountain Biologicals) and 1% penicillin-streptomycin (GIBCO).”
The authors state this as an assumption.
The gRNA library is perfectly uniform, so the expected number of cells containing a given guide and the number not containing it can be calculated from the delivery model.
“Perfect library uniformity was assumed to obtain the expected number of cells containing a given guide and the number of cells that do not contain that guide.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The increase in receptive field from 20 kb to 100 kb greatly expands the number of relevant enhancers seen by the model from 47% to 84%, as estimated from proportions of high-confidence enhancer-gene pairs.
“This increase in the receptive field is important because it greatly expands the number of relevant enhancers seen by the model from 47% (<20 kb) to 84% (<100 kb) as estimated from the proportions of high-confidence enhancer–gene pairs9.”
From Effective gene expression prediction from sequence by integrating long-range interactions (2021) · cites this paper as [9]
The Results section, “Distance between Paired Enhancers and Promoters” (page unavailable), reports that the high-confidence upstream enhancer–gene pairs had a median separation of 24.1 kb, supporting the importance of distance. Our copy does not state that 47% fall within 20 kb or 84% within 100 kb, so it does not verify the claimed proportions. (LLM, conf=0.82)
Experimental — accuracy not yet measuredA typical enhancer is probably hundreds of base-pairs in length and acts over a few to tens of kilobases.
“Although the endogenous distributions of enhancer sizes and enhancer–gene distances remain an important topic of exploration, a typical enhancer is probably hundreds of base-pairs in length70,71, and acts over a few to tens of kilobases72.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [72]
Citation 72 attaches to the distance claim, not the enhancer-length claim. The Results section, “Distance between Paired Enhancers and Promoters,” reports a median enhancer-to-target-TSS distance of 24.1 kb, supporting a distance of tens of kilobases. But that estimate is limited to high-confidence upstream pairs among the nonintronic enhancers surveyed, so it does not establish the distance for a typical enhancer generally. (LLM, conf=0.84)
Experimental — accuracy not yet measuredFusion of the repressive KRAB domain with catalytically inactive Cas9 (dCas9) identified 664 functionally significant out of 78,776 potential enhancer-promoter interactions in the human erythroid cell line K562.
“Fusion of the repressive KRAB (Krüppel-associated box) domain with catalytically inactive Cas9 (dCas9) was applied for the identification of 664 functionally significant out of 78,776 potential enhancer-promoter interactions in the human erythroid cell line (K562 cells) [25].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [25]
The Results section on the scaled K562 screen (page unavailable) reports use of CRISPRi and identification of 664 enhancer–gene pairs at a 10% empirical false-discovery threshold. The proof-of-concept Results section identifies the CRISPRi reagent as nuclease-inactive Cas9 tethered to KRAB. Our copy does not substantiate the claimed denominator of 78,776 potential interactions (searched: “78,776” and “78776 candidate enhancer gene pairs tested”). (LLM, conf=0.86)
Experimental — accuracy not yet measuredSimilar results are obtained on the data from Gasperini et al. (2019).
“Similar results are obtained on the data from Gasperini et al. (2019)58 (Fig. 4d and Extended Data Fig. 5b).”
From Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation (2025) · cites this paper as [58]
Running MoDISco on gradients from tissue-pooled exon-to-intron coverage ratios for genes from the Gasperini set found known splice-regulatory motifs.
“When running MoDISco on gradients from tissue-pooled exon-to-intron coverage ratios for genes from the Gasperini set58, we found known splice-regulatory motifs (Fig. 7b).”
From Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation (2025) · cites this paper as [58]
Histone modification and cofactor binding are enriched but not completely predictive of enhancer activity.
“Although enriched, histone modification and cofactor binding is not completely predictive of enhancer activity54,58,72,77,105.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [72]
At least a few enhancers reside at great distances from their target gene (e.g. ZRS 1 Mb from Shh, MYC enhancer 1.7 Mb downstream), although most are much more proximal.
“At least a few enhancers reside at great distances from their target gene (e.g. the ZRS enhancer located 1 Mb from the Shh gene118, and a MYC enhancer located 1.7 Mb downstream119), although most are much more proximal to their target promoters72.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [72]
Genes can be affected by a single enhancer or multiple enhancers acting in concert; conversely, individual enhancers can regulate multiple genes.
“Genes can be affected by a single enhancer or multiple enhancers acting in concert115; conversely, individual enhancers can regulate multiple genes72.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [72]
The authors developed a related approach introducing ~28 gRNAs per cell, enabling 5,779 candidate enhancers to be evaluated in a single experiment.
“As scRNA-seq is costly and individual enhancers most likely only regulate one or a few genes in cis, we developed a related approach wherein ~28 gRNAs were introduced per cell, enabling 5,779 candidate enhancers to be evaluated in a single experiment72.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [72]
The vast majority of biochemically nominated candidate enhancers, when perturbed by CRISPRi, do not result in detectable changes in expression of genes located in cis.
“How are we to explain the fact that the vast majority of biochemically nominated candidate enhancers, when perturbed by CRISPRi, do not result in detectable changes in expression of genes located in cis72?”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [72]
Relatively high proportions of biochemically or MPRA-supported candidate enhancers tested do not detectably influence expression of a cis-encoded gene in CRISPR or CRISPRi screens, even when assaying the whole transcriptome (e.g. ~90% in REF72).
“In the vein of the latter concern over false negatives, one of the larger surprises of these studies is that relatively high proportions of biochemically or MPRA-supported candidate enhancers tested do not detectably influence expression of a cis encoded gene, in both CRISPR or CRISPRi screens and even when assaying the whole transcriptome (e.g. ~90% in REF72).”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [72]
Earlier studies limited differential expression testing to predefined candidate genes or grouped genes into signatures.
“differential gene expression testing was restricted to pre-defined candidate genes7,9,10 or genes were grouped into gene signatures3,4,6,8.”
From Targeted Perturb-seq enables genome-scale genetic screens in single cells (2020) · cites this paper as [9]
Perturb-seq does not efficiently measure lowly expressed genes or small effects.
“Second, lowly expressed genes and small effects are not measured efficiently4,7–9.”
From Targeted Perturb-seq enables genome-scale genetic screens in single cells (2020) · cites this paper as [9]
A model trained on all study data predicted enhancer-target pairs from a Perturb-seq study at 75% recall and 40% precision, but the reverse prediction was ineffective.
“When trained on all data from this study, our model predicted ETPs identified in a Perturb-seq study9 (75% recall at a precision of 40%); the converse did not work effectively”
From Targeted Perturb-seq enables genome-scale genetic screens in single cells (2020) · cites this paper as [9]
Earlier Perturb-seq enhancer-target studies were limited to large effects and found enhancers for only a small fraction of candidate genes (3.5-6% versus 24-32% here).
“Previous applications of Perturb-seq for enhancer targets7,9 had remained limited to large effect sizes and identified enhancers only for a small fraction of candidate genes (3.5-6% in ref. 9 compared to 24-32% reported here).”
From Targeted Perturb-seq enables genome-scale genetic screens in single cells (2020) · cites this paper as [9]
A prior Perturb-seq study found enhancers for only about 3.5-6% of expressed genes, indicating TAP-seq is more sensitive.
“A previous study using Perturb-seq identified enhancers for only ~3.5-6% of expressed genes9, underscoring the higher sensitivity of TAP-seq.”
From Targeted Perturb-seq enables genome-scale genetic screens in single cells (2020) · cites this paper as [9]
High multiplicity-of-infection CRISPR screens with multiple targets per cell can complicate the calculation of distances.
“For example, high multiplicity-of-infection CRISPR screens with multiple targets per cell can complicate the calculation of distances5,53,54.”
From scPerturb: harmonized single-cell perturbation data (2024) · cites this paper as [54]
Perturb-seq pairs CRISPR-based screens with single-cell RNA sequencing, allowing each cell to be an independent experiment connecting a genetic perturbation to its transcriptional consequences.
“For example, Perturb-seq pairs CRISPR-based screens with single-cell RNA sequencing (5–8). Each individual cell is in effect an independent experiment connecting a genetic perturbation to its transcriptional consequences, allowing hundreds of thousands of parallel measurements (9, 10).”
From Exploring genetic interaction manifolds constructed from rich single-cell phenotypes (2019) · cites this paper as [9]
CRISPR platforms have produced much larger genetic interaction maps than RNA interference, including CRISPRa gain-of-function maps and maps combining gain- and loss-of-function perturbations.
“This approach was pioneered in mammalian cells using RNA interference80,81, but CRISPR-based platforms have enabled the generation of substantially larger genetic interaction maps82, including CRISPRa-based gain-of-function maps83 and maps that combine gain- and loss-of-function perturbations to map directional pathways84.”
From CRISPR-based functional genomics for neurological disease (2020) · cites this paper as [83]
Variations on functional genomics methods allow evaluation of genes, regulatory elements, and genetic variants at increasing scale and resolution.
“Variations on these methods enable the functional evaluation of genes (via knockout screens124), regulatory elements (using CRISPR interference and CRISPR activation screens125,126), and genetic variants (base editors127) at increasing scale and resolution29.”
From A brief history of human disease genetics (2020) · cites this paper as [125]
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.
Reported percentage does not match the stated pair count
MinorThe stated fraction, 153 of 770, is 19.9%, not 33%. A denominator of 470 would give approximately 33%, but that is not the denominator printed here.
Reported 33 · recomputed 19.87013
“Nonetheless, 153/770 (33%) of enhancer-gene pairs involved skipping of at least one closely located TSS of another K562-expressed gene”
Deletion effect for e-GLUL has the opposite sign
MinorThe screen reports repression of e-GLUL's target gene, and the text says deletion produced an effect in the same direction. The listed deletion effect is positive 67%, however, rather than a negative repression effect.
“These homozygously deleted lines all had the expected and magnitude of direction of effect (Figure 4E–4G), indeed with stronger effect sizes than seen by CRISPRi perturbation in the scRNA-seq screen (effect size with deletion: e-NMU = −100%, e-CITED2 = −57%, e-GLUL = 67%; Table S3B).”
“effect size in scRNA-seq screen: e-NMU = −81%, e-CITED2 = −35%, e-GLUL = −21%”
Combined candidate-enhancer total excludes pilot-only sites
MinorThe scaled experiment targeted 5,779 enhancers, but 141 of the 1,119 pilot enhancers were not among the 978 retargeted sites. The number targeted in either experiment is therefore 5,920, not 5,779.
“the full set of 5,779 candidate enhancers targeted in either or both experiments”
“Third, we re-targeted 978 of the 1,119 initially targeted pilot candidate enhancers”
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- Authors
- Gasperini, M., Hill, A. J., McFaline-Figueroa, J. L., Martin, B., Kim, S., Zhang, M. D., Jackson, D., Leith, A., Schreiber, J., Noble, W. S., Trapnell, C., Ahituv, N., & Shendure, J.
- Affiliations
- University of Washington (US)
- University of California, San Francisco (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Gasperini, Molly
- Shendure, Jay
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 176
- Issue
- 1-2
- Pages
- 377-390.e19
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC6690346
- OpenAlex
- W2906884244
- Semantic Scholar
- 37cc213cccc6bab26ace60b2db8e4636e3648a3e
- Cited by
- 613
- References
- 53
- Citations by year
- 2026: 66 · 2025: 82 · 2024: 78 · 2023: 87 · 2022: 84 · 2021: 85 · 2020: 89 · 2019: 41 · 2013: 1
- FWCI
- 25.55
- Type
- journal article
- Language
- en
- Update notices
- erratum (2019-03-07)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (UM1HG009408, U24HG009446, DP1HG007811)
- National Science Foundation (5T32HG000035)
- W. M. Keck Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- cis-regulatory elements, dCas9-KRAB, single-cell RNA sequencing, expression quantitative trait loci, enhancer target genes, transcription factors
- MeSH terms
- Chromosome Mapping, Enhancer Elements, Genetic, Gene Expression Regulation, Humans, Transcription Factors, Genome, Human, Gene Expression Profiling, Genomics, Quantitative Trait Loci, Gene Regulatory Networks, Genome-Wide Association Study, Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-Cas Systems
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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.
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