The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index; 3 of the 22 sources its claims cite were checked for support.
Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues
Open accessAbstract
In contrast to single-cell approaches for measuring gene expression and DNA accessibility, single-cell methods for analyzing histone modifications are limited by low sensitivity and throughput. Here, we combine the CUT&Tag technology, developed to measure bulk histone modifications, with droplet-based single-cell library preparation to produce high-quality single-cell data on chromatin modifications. We apply single-cell CUT&Tag (scCUT&Tag) to tens of thousands of cells of the mouse central nervous system and probe histone modifications characteristic of active promoters, enhancers and gene bodies (H3K4me3, H3K27ac and H3K36me3) and inactive regions (H3K27me3). These scCUT&Tag profiles were sufficient to determine cell identity and deconvolute regulatory principles such as promoter bivalency, spreading of H3K4me3 and promoter–enhancer connectivity. We also used scCUT&Tag to investigate the single-cell chromatin occupancy of transcription factor OLIG2 and the cohesin complex component RAD21. Our results indicate that analysis of histone modifications and transcription factor occupancy at single-cell resolution provides unique insights into epigenomic landscapes in the central nervous system. An improved method for single-cell analysis of histone modifications is applied to the mouse brain.
Overview
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TL;DR
The paper develops single-cell CUT&Tag (scCUT&Tag) by coupling CUT&Tag with droplet-based 10x Genomics scATAC-seq, enabling high-throughput profiling of histone modifications and transcription factor occupancy in complex tissues. Applied to tens of thousands of mouse CNS cells, it resolves major brain cell types and reveals regulatory features such as promoter bivalency, H3K4me3 spreading, and enhancer-promoter connectivity.
Key findings
- scCUT&Tag generated profiles for 47,340 single cells across histone modifications, with median unique fragments per cell ranging from 98 (H3K36me3) to 453 (H3K27ac); 39.4%–85.6% of fragments fell within narrow peak regions.
- In a three-cell-line mixture, H3K27me3 scCUT&Tag yielded 4,872 and 3,873 single cells with 597 and 568 unique fragments per cell, respectively, and separated mESC, NIH-3T3, and Oli-neu populations.
- In mouse brain, scCUT&Tag identified major CNS populations including mature oligodendrocytes, astrocytes, OECs, vascular cells, OPC/COP/NFOL, neurons, and microglia; H3K4me3 breadth increased during oligodendrocyte differentiation, and H3K27me3 was enriched in oligodendrocytes, microglia, and a subset of neurons.
- TF scCUT&Tag recovered Olig2 and Rad21 binding with median 48 and 240 unique reads per cell, respectively; ABC modeling predicted ~200,000 enhancer-promoter loops, refined to 61,000 with H3K4me3 and ~5,000 with Rad21 on both sides, and Cicero found 14,322 correlated features with score >0.2 in mOLs.
Methods
- Design: CUT&Tag was combined with droplet-based 10x Genomics single-cell ATAC-seq library preparation; nuclei from mouse CNS or cell lines were barcoded after antibody-directed tagmentation.
- Sample/data: Mouse Sox10:Cre/RCE brains at P15 and P21–P25 were FACS-sorted into GFP+ and GFP− cells; antibodies targeted H3K4me3, H3K27ac, H3K36me3, H3K27me3, Olig2, and Rad21.
- Analysis: Cell-feature matrices used 5-kb or 50-kb bins; clustering used LSI, UMAP, SNN, and Leiden in Seurat/Signac; integration used CCA with scRNA-seq; enhancer-promoter predictions used the ABC model and Cicero, with HiChIP validation.
Limitations
- The paper states that scCUT&Tag currently distinguishes major cell types but fails to uncover subpopulation heterogeneity in an unsupervised manner; oligodendrocyte heterogeneity was only revealed at H3K4me3 level after integration with scRNA-seq.
- The paper states that TF scCUT&Tag data are sparser than histone scCUT&Tag, and Rad21 binding could not distinguish vascular cells and OPCs, the smallest populations sharing features with larger populations.
- The paper states that improving unique fragments per cell and introducing multi-omic approaches, such as simultaneous scCUT&Tag and RNA-seq from the same cell, would further enhance applications; evident from the text, TF profiles required annotation assumptions based on correlation with H3K4me3/H3K27ac rather than direct marker-based clustering.
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Claims the paper makes
72 Own result · 11 Own interpretation · 10 Not checked yet · 4 Own method · 4 No basis given · 1 Supported · 1 Partly supported · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“Cohesin binding has been associated with loop formation38, so we further filtered the predictions using the presence of Rad21 binding on both sides of the loop (promoter and enhancer), which resulted in approximately 5,000 loops.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
What the sources say
- Supportedcites [38] Rao, S. S. P. et al. Cohesin loss eliminates all loop domains. Cell 171, 305–320.e24 (2017). source
The citation is attached to the background statement that cohesin binding is associated with loop formation, not to the citing authors’ filtering procedure or its approximately 5,000-loop result. In Results, under “Loop domains are rapidly lost after degradation of cohesin” (page unavailable), the paper says loop anchors typically bind cohesin and that loop-domain formation requires cohesin. (LLM, conf=0.92)
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In the paper
“We found several motifs enriched in the Olig2 scCUT&Tag, including motif CAGMTG, similar to the previously identified CAGMTG/CAGCTG motif specific for Olig2 (Figure 5h) in mouse33 and rat34 respectively.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
What the sources say
- Partly supportedcites [33] Yu, Y. et al. Olig2 targets chromatin remodelers to enhancers to initiate oligodendrocyte differentiation. Cell 152, 248–261 (2013). sourceExperimental — accuracy not yet measured
The Results section reports that Olig2 and Brg1 binding sites share an E-box consensus motif and identifies the broader E-box sequence as CANNTG. Our copy does not specify CAGMTG as the Olig2 motif, so it supports the motif similarity but not the precise sequence attributed to this source. The scCUT&Tag enrichment is the citing authors’ own finding, not a finding attributed to this paper. (LLM, conf=0.82)
- Supportedcites [34] Darr, A. J. et al. Identification of genome-wide targets of Olig2 in the adult mouse spinal cord using ChIP-Seq. PloS One 12, e0186091 (2017). source
The citation supports the previously identified mouse Olig2 motif, not the citing authors’ own scCUT&Tag enrichment result. In Results, “Comprehensive de novo mapping of Olig2 targets in vivo,” the paper reports an enriched CA(G/T)(C/A)TG(T/G)N motif at Olig2-binding sites; its CAG(C/A)TG sequence corresponds to CAGMTG. (LLM, conf=0.92)
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These scCUT&Tag profiles were sufficient to determine cell identity and deconvolute regulatory principles such as promoter bivalency, spreading of H3K4me3, and promoter-enhancer connectivity.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Abstract
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In the paper
“These scCUT&Tag profiles were sufficient to determine cell identity and deconvolute regulatory principles such as promoter bivalency, spreading of H3K4me3, and promoter-enhancer connectivity.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Abstract
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These scCUT&Tag profiles were sufficient to determine cell identity and deconvolute regulatory principles such as promoter bivalency, spreading of H3K4me3, and promoter-enhancer connectivity.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Abstract
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In the paper
“Here we combine the CUT&Tag technology, developed to measure bulk histone modifications, with droplet-based single-cell library preparation to produce high-quality single-cell data on chromatin modifications.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Abstract
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These scCUT&Tag profiles were sufficient to determine cell identity and deconvolute regulatory principles such as promoter bivalency, spreading of H3K4me3, and promoter-enhancer connectivity.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Abstract
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In the paper
“We found that addition of BSA reduced nuclei clumping (Extended Data Figure 1b) but did not substantially alter the efficiency of tagmentation nor the signal distribution for bulk Cut&Tag (Extended Data Figure 1c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > CUT&Tag profiling of single cells
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In the paper
“In particular, H3K4me3 was mainly present at regions flanking transcription start sites, H3K27ac occupied both these regions and neighboring intergenic regions (most likely enhancers) and H3K36me3 was spread throughout the gene bodies”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“The fragment length distribution was consistent with the capture of sub nucleosome fragments as well as mono-, di- and tri -nucleosomes for all modifications (Figure 1e).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“We found that the specific cell clusters showed enrichment of the metagene signal for the active modifications and were depleted of the signal in the H3K27me3 dataset (Extended Data Figure 7), supporting the cluster annotations.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Integration of scCUT&Tag data with single-cell gene expression
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In the paper
“We could identify similar populations in H3K27me3 scCUT&Tag and annotate them using a combination of markers that lacked the repressive mark in the vicinity of the marker gene regions (Figure 1j, 2, Extended Data Figure 4).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“Interestingly, we detected a major, likely transient population of astrocytes, in GFP+ fraction of the Sox10:Cre/RCE mouse (Extended Data Figure 2a, 2c), most probably derived from ventral regions22–24.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“We also performed scRNA-seq from Sox10-Cre/GFP+ sorted cells and determined that the proportions of cell types obtained by scCUT&Tag and by scRNA-Seq were similar (Extended Data Figure 6c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“In particular, H3K4me3 was mainly present at regions flanking transcription start sites, H3K27ac occupied both these regions and neighboring intergenic regions (most likely enhancers) and H3K36me3 was spread throughout the gene bodies”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“We also observed high correlation of signal in peaks between the two scCut&Tag technical replicates between the corresponding clusters (Extended Data Figure 2d) and concordance in proportion of identified cell identities (Extended Data Figure 2e).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > CUT&Tag profiling of single cells
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In the paper
“In particular, H3K4me3 was mainly present at regions flanking transcription start sites, H3K27ac occupied both these regions and neighboring intergenic regions (most likely enhancers) and H3K36me3 was spread throughout the gene bodies”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“Dimensionality reduction and clustering yielded one cluster that was identified as 3T3 cells and two sub-clusters for Oli-neu (Oli-neu_A and Oli-neu_B) and mESCs (mES_A, and mESC_B) (Extended Data Figure 2a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > CUT&Tag profiling of single cells
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In the paper
“In order to deconvolute and cluster the cells, we generated cell-feature matrices for all datasets using 5kb (H3K4me3, H3K27ac and H3K27me3) or 50kb genomic bins (H3K36me3), (Figure 1b) and identified all major CNS cell populations in the scCUT&Tag assay for the different modifications (Figure 1f–i).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“We found that the major cell populations co-cluster together with the corresponding scRNA-seq population (Figure 3a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Integration of scCUT&Tag data with single-cell gene expression
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“Finally, we plotted metagene profiles of downscaled H3K27me3 scCUT&Tag signal around the peaks called from the respective ChIP-seq or CUT&Run data and found that merging around 200-500 3T3 cells and 20-50 mESCs yielded high-quality bulk profiles comparable to the reference data (Extended Data Figure 2f,g).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > CUT&Tag profiling of single cells
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In the paper
“We also performed principal component analysis (PCA) on the top 150 most variable marker peaks and observed co-clustering and correlation of the respective bulk and single-cell Cut&Tag data (Extended Data Figure 2c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > CUT&Tag profiling of single cells
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In the paper
“We obtained H3K27me3 profiles of 4872 and 3873 single cells with 597 and 568 unique fragments per cell.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > CUT&Tag profiling of single cells
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In the paper
“Moreover, the corresponding bulk and scCUT&Tag datasets clustered together on a PCA plot generated from the top 150 most variable marker regions (Extended Data Figure 6b).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“As expected, we observed depletion of H3K27me3 when the promoter is enriched in H3K4me3 in the respective population (Figure 3g).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“Interestingly, we found that the population of oligodendrocytes that appeared homogenous could be further deconvoluted into sub-populations enriched in module-specific genes (Figure 3c), indicating that oligodendrocyte heterogeneity is reflected at an epigenetic level.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Integration of scCUT&Tag data with single-cell gene expression
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In the paper
“In contrast, H3K27me3 signal was present in AST-specific genes in OPCs and MOLs (Figure 3g).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“Besides, H3K27me3 signal was depleted from OPC-specific genes in MOLs, but not in astrocytes (Figure 3g), suggesting that H3K27me3 is not required to repress OPC genes during MOL differentiation.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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“To investigate the cell-type specificity of the predictions, we generated pileups using Oligodendrocyte H3K27ac HiChIP data and H3K27ac HiChIP performed in mouse embryonic stem cells37 and found that the predicted loops were highly specific for oligodendrocytes (Figure 6b).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
What the sources say
- Not checked yetcites [37] Mumbach, M. R. et al. Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements. Nat. Genet. 49, 1602–1612 (2017). source
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In the paper
“We performed scCUT&Tag in GFP+ sorted cells from the brain at postnatal day P25. The number of unique reads per cells was lower for TF scCUT&Tag compared to histone modifications. Nevertheless, we were able to obtain in median 48 and 240 unique reads per cell in Olig2 and Rad21 scCUT&Tag respectively.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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In the paper
“We also downscaled the scCUT&Tag data and could see the robustness of predictions from as few as 100 cells (74.4% overlap with full dataset, Extended Data Figure 10c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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In the paper
“Together with the previously identified Olig2 motif, we found enrichment of multiple general eukaryotic enhancer and promoter features (GC box, CAAT box).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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In the paper
“We used the H3K4me3 signal in the oligodendrocyte population to filter for promoters that were active in oligodendrocytes, which yielded 61,000 loops.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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In the paper
“The predicted loops were consistent with loops predicted by the ABC model from bulk OLG Cut&Run data (Extended Data Figure 10a, b).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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In the paper
“Moreover, the magnitude of the breadth was different for individual cell types with the broadest H3K4me3 peaks on the promoters of astrocytes and oligodendrocytes, and the narrower on VLMCs, but also OPCs (Figure 4b), which could suggest an increase of H3K4me3 breadth during transition from progenitor states to fully differentiated states.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Increase in breadth of H3K4me3 upon oligodendrocyte differentiation
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In the paper
“Finally, loops predicted by the ABC model and filtered by H3K4me3 signal overlapped well with H3K27ac-mediated loops and stripes, when inspected in a 2D matrix representation (Figure 6d).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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In the paper
“To further strengthen the cluster annotations, we performed co-embedding of the Rad21/Olig2 with another histone modification – H3K27ac using CCA and found that the identified clusters consistently co-embeded with the corresponding H3K27ac clusters (Extended Data Figure 9e).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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“Interestingly, we noticed that astrocyte-specific genes had higher H3K4me3 signal in OPCs than in MOLs (Figure 3f).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“We found the motif of chromatin architecture factor, CTCF as the highest enriched in the Rad21 dataset (Figure 5g), which is consistent with the cooperativity between Ctcf and Cohesin32.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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“We noticed in the H3K4me3 pileup analysis that both amplitude and breadth of the H3K4me3 signal were increased at population-specific marker gene promoters, when compared to marker gene promoters of other populations (Extended Data Figure 4e–h).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Increase in breadth of H3K4me3 upon oligodendrocyte differentiation
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“Strikingly, we observed a gradual increase in the breadth of the H3K4me3 signal at MOL promoters with single cell resolution (Figure 4e), which is consistent with spreading of H3K4me3 as the cells progress towards differentiated oligodendrocyte identity.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Increase in breadth of H3K4me3 upon oligodendrocyte differentiation
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“This is most prominent for H3K27me3, which is enriched in populations of oligodendrocytes, microglia and a subset of neurons, relative to the other populations (Figure 3d).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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- Rests on an assumption: The number of unique reads per cell reflects the absolute amount of a histone modification in single cells.
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In the paper
“Interestingly, we also observed relatively higher amounts of H3K36me3 in the population of immature oligodendrocytes (OPC/COP-NFOL stages) (Figure 3d).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“We found that the marker genes of the identified populations had on average higher H3K4me3 breadth (Figure 4a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Increase in breadth of H3K4me3 upon oligodendrocyte differentiation
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“The ABC model predicted ~200,000 enhancer-promoter loops in the oligodendrocyte lineage.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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“We used the number of unique reads per cell as a proxy for absolute amount of the histone modification in single cells. We found a substantial variability in this regard (Figure 3d).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“Interestingly, we also found a motif similar to the motif of transcription factors from the Sox family (ACARWR, Extended Data Figure 9f), which is consistent with physical interaction and cooperativity between Olig2 and members of Sox family of transcription factors (Sox8, Sox10)35.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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“Inclusion of BSA in the procedure substantially reduces clumping of the nuclei.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Extended Data
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“With low background signal, scCUT&Tag can yield merged genomic tracks from as few as 500 cells, with quality comparable to bulk ChIP-seq performed on hundreds of thousands to millions of cells.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“Applying Cicero to the scCUT&Tag data, we found 14,322 correlated features with a correlation score > 0.2 in mOLs.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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“In the resulting Sox10:Cre-RCE:LoxP (EGFP) animals the entire OL lineage was labeled with EGFP.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > Animals
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“Although the TF scCUT&Tag data is sparser than scCUT&Tag of histones, we were still able to distinguish cell identity based only on Rad21 binding for all cell types, except for vascular cells and OPCs, which are the smallest cell populations and share features with larger populations.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“While Olig2 preferentially binds oligodendrocyte lineage specific enhancers and promoters and binds only weakly to astrocyte-specific gene regulatory regions, Rad21, a ubiquitously expressed genome architecture factor, binds cell type–specific promoters and enhancers.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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“We could only reveal the oligodendrocyte heterogeneity at H3K4me3 level upon integration with more complex scRNA-seq data.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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“Our results indicate that analysis of histone modifications and transcription factor occupancy at single-cell resolution provides unique insights into epigenomic landscapes in the CNS.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Abstract
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In the paper
“However, for highly complex adult organs such as the brain, this single-cell characterization has not been achieved.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Abstract
What the sources say
- Not checked yetcites [6] Kaya-Okur, H. S. et al. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat. Commun. 10, 1930 (2019). source
- Not checked yetcites [7] Rotem, A. et al. Single-cell ChIP–seq reveals cell subpopulations defined by chromatin state. Nat. Biotechnol. 33, 1165–1172 (2015). source
- Not checked yetcites [8] Ai, S. et al. Profiling chromatin states using single-cell itChIP–seq. Nat. Cell Biol. 21, 1164–1172 (2019). source
- Not checked yetcites [9] Wang, Q. et al. CoBATCH for high-throughput single-cell epigenomic profiling. Mol. Cell 76, 206–216.e7 (2019). source
- Not checked yetcites [10] Ku, W. L. et al. Single-cell chromatin immunocleavage sequencing (scChIC–seq) to profile histone modification. Nat. Methods 16, 323–325 (2019). source
- Not checked yetcites [11] Carter, B. et al. Mapping histone modifications in low cell number and single cells using antibody-guided chromatin tagmentation (ACT–seq). Nat. Commun. 10, 3747 (2019). source
- Not checked yetcites [12] Grosselin, K. et al. High-throughput single-cell ChIP–seq identifies heterogeneity of chromatin states in breast cancer. Nat. Genet. 51, 1060–1066 (2019). source
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In the paper
“Strikingly, we observed a gradual increase in the breadth of the H3K4me3 signal at MOL promoters with single cell resolution (Figure 4e), which is consistent with spreading of H3K4me3 as the cells progress towards differentiated oligodendrocyte identity.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Increase in breadth of H3K4me3 upon oligodendrocyte differentiation
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In the paper
“Besides, H3K27me3 signal was depleted from OPC-specific genes in MOLs, but not in astrocytes (Figure 3g), suggesting that H3K27me3 is not required to repress OPC genes during MOL differentiation.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“Interestingly, we found that the population of oligodendrocytes that appeared homogenous could be further deconvoluted into sub-populations enriched in module-specific genes (Figure 3c), indicating that oligodendrocyte heterogeneity is reflected at an epigenetic level.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Integration of scCUT&Tag data with single-cell gene expression
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In the paper
“Moreover, the presented epigenetic profiles suggest that astrocytes are epigenetically (H3K4me3) related to OPCs.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“Moreover, the magnitude of the breadth was different for individual cell types with the broadest H3K4me3 peaks on the promoters of astrocytes and oligodendrocytes, and the narrower on VLMCs, but also OPCs (Figure 4b), which could suggest an increase of H3K4me3 breadth during transition from progenitor states to fully differentiated states.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Increase in breadth of H3K4me3 upon oligodendrocyte differentiation
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In the paper
“Here, we provide for the first time a high-throughput study of chromatin modifications and transcription factor binding at single-cell resolution in the mouse brain.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“Finally, we also show that histone modification and transcription factor binding data can be used together with predictive models to infer looping of cis-regulatory elements in primary cell types.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“Altogether, loop predictions based on scCUT&Tag data can serve as an important tool to identify candidate regulatory interactions and guide future studies and/or perturbations of cell type specific regulatory elements.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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- Probably not a substantial claim. 10
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In the paper
“In contrast, H3K27me3 was associated with genes where the other active markers were absent, or it coincided with H3K4me3.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“we manually annotated the populations as mature oligodendrocytes (MOL, Mbp+, Mog+, Cldn11+), astrocytes (AST, Slc1a2+, Rfx4+, Aqp4+), olfactory ensheathing cells (OEC, Alx3+, Alx4+, Frzb+), vascular cells (VAS, Nes+, Tbx18+, Foxf2+) and cells within the spectrum of oligodendrocyte progenitors cells (OPCs), committed OPCs (COPs) and newly formed oligodendrocytes (NFOLs) (OPC, Pdgfra+, Neu4+, Gpr17+”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“Inspection of genome browser tracks revealed similarity between corresponding populations of bulk and single-cell tracks and lower level of background signal in scCUT&Tag data (Extended Data Figure 6a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“We found that addition of BSA reduced nuclei clumping (Extended Data Figure 1b) but did not substantially alter the efficiency of tagmentation nor the signal distribution for bulk Cut&Tag (Extended Data Figure 1c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > CUT&Tag profiling of single cells
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In the paper
“Inspection of merged pseudo-bulk datasets including all cells revealed distinct profiles for the histone modifications highlighting the specificity of the technique (Extended Data Figure 3a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“Altogether we obtained scCut&Tag profiles of various histone modifications for 47340 single cells with median ranging between 98 (H3K36me3) and 453 (H3K27ac) unique fragments per cell (Figure 1c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“The clustering was highly reproducible among biological replicates and cells originating from P15/P25 age were well intermingled within the clusters (Extended Data Figure 5a–c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“The cell states of OLG lineage reflect the mouse age with majority of OPCs originating from P15 and differentiated OLG coming from P25 (Extended Data Figure 5b, c).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
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In the paper
“Between 39.4% and 85.6% of fragments fell within narrow peak regions (Figure 1d), indicating a low level of background.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
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In the paper
“Our scCUT&Tag data showed similar or higher specificity (as measured by fraction of fragments in peaks), equal or lower number of unique fragments per cell, but yielded more cells per experiment compared to the iCell8 scCUT&Tag6 and the latest scChIP-seq method12 (Extended Data Figures 3d-f).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
What the sources say
- Not checked yetcites [6] Kaya-Okur, H. S. et al. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat. Commun. 10, 1930 (2019). source
- Not checked yetcites [12] Grosselin, K. et al. High-throughput single-cell ChIP–seq identifies heterogeneity of chromatin states in breast cancer. Nat. Genet. 51, 1060–1066 (2019). source
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In the paper
“Consistent with this, fingerprint plots showed that scCUT&Tag displayed higher specificity and better signal to noise ratio compared to scChIP-seq12 and similar level of specificity to the iCell8 scCUT&Tag (Extended Data Figure 3g).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
What the sources say
- Not checked yetcites [12] Grosselin, K. et al. High-throughput single-cell ChIP–seq identifies heterogeneity of chromatin states in breast cancer. Nat. Genet. 51, 1060–1066 (2019). source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“Nevertheless, we were able to obtain in median 48 and 240 unique reads per cell in Olig2 and Rad21 scCUT&Tag respectively.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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In the paper
“Interestingly, the low binder non-OLGs cells randomly co-embedded with the populations of OEC, Astrocytes and vascular cell clusters that were defined by H3K27ac, whereas OLG cluster specifically co-embeded with the OLG H3K27ac signal (Extended Data Figure 9e).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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In the paper
“Olig2 dataset separated into 2 clusters based on depth (number of unique reads per cell), and we annotated the cluster with low number of unique reads as “low binders” (Figure 5a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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In the paper
“These loops showed substantially higher specificity in the HiChIP pileup signal, compared to the original set of unfiltered loops (Figure 6c) and higher overlap between ABC predictions from bulk CUT&Run and scCUT&Tag (Extended Data Figure 10a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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In the paper
“Strikingly, the obtained two-dimensional representation of the data recapitulated the original non-supervised clustering with great precision (Figure 3e) and the clusters annotated with the same cell type in different datasets co-occupied the same low dimensional space (Figure 3e).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
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In the paper
“This finding is consistent with expression of Olig2 throughout the cell types, being highly expressed throughout the OLG lineage, whereas OECs and VLMCs do not express Olig2 and only small portion of astrocytes express Olig2 (Figure 5f).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
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In the paper
“For this purpose, we co-embedded the H3K4me3 scCUT&Tag and scRNA-seq using CCA, which showed good integration of the techniques, while the scRNA-seq clustering was retained (Figure 3b).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Integration of scCUT&Tag data with single-cell gene expression
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In the paper
“found GO terms such as astrocyte differentiation and activation (AST), myelination (OLG), regulation of myelination (OEC), cell migration involved in vasculogenesis (VAS), glial cell development (OPCs), neuron development, neuron maturation and axonogenesis (NEU) and microglial cell activation involved in immune response (MGL) (Extended Data Figure 8) to be specifically enriched in respective”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Integration of scCUT&Tag data with single-cell gene expression
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In the paper
“We also observed an increase in H3K4me3 breadth during the process of differentiation in the OLG lineage at unprecedented resolution, indicating that spreading of this modification can be used to delineate lineage progression.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“We show that analysis of histone modifications at a single-cell level allows identification of distinct neural cell types, with the active marks H3K4me3 and H3K27ac and the repressive mark H3k27me3 being particularly useful for this purpose.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“In the current state, scCUT&Tag is able to distinguish the major cell types but fails to uncover heterogeneity of the subpopulations in an unsupervised manner.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“While Olig2 preferentially binds oligodendrocyte lineage specific enhancers and promoters and binds only weakly to astrocyte-specific gene regulatory regions, Rad21, a ubiquitously expressed genome architecture factor, binds cell type–specific promoters and enhancers.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“Cicero predictions modestly overlapped with ABC model predictions (Extended Data Figure 10b) and the length of the predicted loops was substantially different between cicero and ABC model (Extended Data Figure 10d).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
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In the paper
“Breeding with males containing a hemizygous Cre allele in combination with the reporter allele to non-Cre carrier females resulted in early Cre activation in the whole animal and consequently avoided.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > Animals
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In the paper
“scCUT&Tag allowed the deconvolution of potential H3K4me3/H3K27me3 bivalency, but also revealed a close epigenetic relationship between OPCs and astrocytes.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Discussion
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In the paper
“Additional motifs identified using MEME from the merged pseudobulk profile of Olig2 scCUT&Tag.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Extended Data
plainn = 1,667- Asserted: passes — The authors put it forward as true.
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In the paper
“Nevertheless, both predictions methods successfully identified known Sox10 enhancers 40 and connected them to the Sox10 promoter (Figure 6e).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
What the sources say
- Not checked yetcites [40] Werner, T., Hammer, A., Wahlbuhl, M., Bösl, M. R. & Wegner, M. Multiple conserved regulatory elements with overlapping functions determine Sox10 expression in mouse embryogenesis. Nucleic Acids Res. 35, 6526–6538 (2007). source
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In the paper
“Interestingly, we detected a major, likely transient population of astrocytes, in GFP+ fraction of the Sox10:Cre/RCE mouse (Extended Data Figure 2a, 2c), most probably derived from ventral regions22–24.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > scCUT&Tag of individual histone modifications allows identification of specific cell populations from the mouse brain
What the sources say
- Not checked yetcites [22] Huang, W. et al. Novel NG2-CreERT2 knock-in mice demonstrate heterogeneous differentiation potential of NG2 glia during development. Glia 62, 896–913 (2014). source
- Not checked yetcites [23] Zhu, X. et al. Age-dependent fate and lineage restriction of single NG2 cells. Development 138, 745–753 (2011). source
- Not checked yetcites [24] Zhu, X., Bergles, D. E. & Nishiyama, A. NG2 cells generate both oligodendrocytes and gray matter astrocytes. Development 135, 145–157 (2008). source
hedgedconditional- Asserted: passes — The authors put it forward as true.
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In the paper
“We found the motif of chromatin architecture factor, CTCF as the highest enriched in the Rad21 dataset (Figure 5g), which is consistent with the cooperativity between Ctcf and Cohesin32.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
What the sources say
- Not checked yetcites [32] Li, Y. et al. The structural basis for cohesin–CTCF-anchored loops. Nature 578, 472–476 (2020). source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Consistently, it was recently reported that disruption of H3K27me3 impairs OPC differentiation to MOL, and triggers switch towards an astrocytic faith29.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
What the sources say
- Not checked yetcites [29] Wang, J. et al. EED-mediated histone methylation is critical for CNS myelination and remyelination by inhibiting WNT, BMP, and senescence pathways. Sci. Adv. 6, eaaz6477 (2020). source
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Therefore, it is unlikely that the signal heterogeneity is caused by differential tagmentation efficiency between cell types but rather by differential levels of modifications between the cell types.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Differential global and genome-wide patterns of histone modifications in the single-cell populations
hedgeddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Rests on an assumption: The number of unique reads per cell reflects the absolute amount of a histone modification in single cells.
In the paper
“Interestingly, we also found a motif similar to the motif of transcription factors from the Sox family (ACARWR, Extended Data Figure 9f), which is consistent with physical interaction and cooperativity between Olig2 and members of Sox family of transcription factors (Sox8, Sox10)35.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
What the sources say
- Not checked yetcites [35] Wißmüller, S., Kosian, T., Wolf, M., Finzsch, M. & Wegner, M. The high-mobility-group domain of Sox proteins interacts with DNA-binding domains of many transcription factors. Nucleic Acids Res. 34, 1735–1744 (2006). source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The OLG population in Olig2 scCUT&Tag is likely composed of both mature OLG and OPCs, which appear to form a subpopulation within the OLG cluster (Extended Data Figure 9a).”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single cell Cut&Tag of transcription factors
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- The authors state this as an assumption: Olig2 and Rad21 binding in specific cell types correlates with enhancer and promoter activity.
In the paper
“The breadth of the H3K4me3 mark has been previously linked to cell identity, gene expression and transcriptional consistency across a variety of cell types30.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Increase in breadth of H3K4me3 upon oligodendrocyte differentiation
What the sources say
- Not checked yetcites [30] Benayoun, B. A. et al. H3K4me3 breadth is linked to cell identity and transcriptional consistency. Cell 158, 673–688 (2014). source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“The battery of screened infective agents met the standard health profile established in Karolinska Institutet animal housing facilities.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > Animals
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“HiChIP was performed in three biological replicates with at least 1 milion cells used as input.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > HiChIP
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“Then, cells were counted, and ~7000 cells processed using chromium single cell 3’ reagent kit (10x Genomics) according to manufacturer’s instructions in two biological replicates.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > scRNA-seq
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In the paper
“All animals were free from the most common mouse viral pathogens, ectoparasites, endoparasites, and mouse bacteria pathogens harbored in research animals.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > Animals
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The authors state this as an assumption.
Olig2 and Rad21 binding in specific cell types correlates with enhancer and promoter activity.
“we based cluster annotation on the assumption that Olig2/Rad21 binding in specific cell types is correlated with enhancer/promoter activity.”
The paper relies on this without support.
The number of unique reads per cell reflects the absolute amount of a histone modification in single cells.
“We used the number of unique reads per cell as a proxy for absolute amount of the histone modification in single cells.”
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 cited source says what the claim attributes to it.
In the citing paper
“single-cell CUT&Tag (scCUT&Tag) integrated CUT&Tag with 10× Genomics scATAC-seq protocol, enabling the investigation of histone modifications at single-cell resolution [120].”
From Single-cell sequencing to multi-omics: technologies and applications (2024) · cites this paper as [120]
In the citing paper
“This method has been modified further by other groups to profile histone modifications at the single-cell level: methods such as scCUT&Tag48 and scCUT&Tag2for149 use tagmentation directed by antibodies to profile active and silenced regulatory elements genome-wide by targeting domains bound by, respectively, RNA polymerase II and Polycomb repressive complexes.”
From The technological landscape and applications of single-cell multi-omics (2023) · cites this paper as [48]
In the citing paper
“Integration and co-embedding of spatial CUT&Tag and scCUT&Tag data36,37 (Fig. 3d,e and Extended Data Fig. 7a) showed that the epigenetic states in our data for H3K27me3, H3K27ac and H3K4me3 agreed with the corresponding projection in scCUT&Tag.”
From Spatial epigenome–transcriptome co-profiling of mammalian tissues (2023) · cites this paper as [36]
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.
Rated major: it would touch a result — a value a result rests on, reported and recomputed p-values on opposite sides of the significance level, two passages that conflict with no sign which is right, or a cited work retracted before this paper was published.
In the paper
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > ABC model
“Regulatory loops with an ABC score > 0.2 were used for downstream analyses.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > Statistics
“ABC predictions with threshold score higher than 0.02 were selected as significant.”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Extended Data
“a. Bar plot depicting fraction of loops predicted by the ABC model with scCUT&Tag data that overlap with loops predicted by ABC model with bulk CUT&Tag data.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Prediction of enhancer-promoter interactions from scCut&Tag data
“The predicted loops were consistent with loops predicted by the ABC model from bulk OLG Cut&Run data (Extended Data Figure 10a, b).”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Online Methods > Animals
“Littermate animals were sacrificed either at postnatal (P4-P6) or at juvenile stages (P21-25) and both sexes were included in the study.”
§ Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues > Results > Single-cell profiles of several histone modifications in the mouse brain
“We sorted both GFP+ and GFP-cells from whole juvenile brain at postnatal day 15 (P15 timepoint).”
Citations
Cites
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Comprehensive Integration of Single-Cell Data
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MEME SUITE: tools for motif discovery and searching
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Self-citationSlingshot: cell lineage and pseudotime inference for single-cell transcriptomics
Street, K., Risso, D., Fletcher, R. B., Das, D., Ngai, J., Yosef, N., Purdom, E., & Dudoit, S. (2018) · BMC Genomics · doi:10.1186/s12864-018-4772-0 · Cited by 3,159
Snakemake—a scalable bioinformatics workflow engine
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Molecular Architecture of the Mouse Nervous System
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Metadata
- Authors
- Bartosovic, M., Kabbe, M., & Castelo-Branco, G.
- Affiliations
- Karolinska Institutet (SE)
- Venue
- Nature Biotechnology
- Published
- 2021-04-12
- Volume
- 39
- Issue
- 7
- Pages
- 825-835
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC7611252
- OpenAlex
- W3156830838
- Semantic Scholar
- e3838c1afa483c16cb19e88f8243c4e159ab6149
- Cited by
- 483
- References
- 54
- Citations by year
- 2026: 96 · 2025: 94 · 2024: 106 · 2023: 93 · 2022: 63 · 2021: 30
- FWCI
- 23.47
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- histone modifications, chromatin accessibility, transcription factor occupancy, Olig2, RAD21, cohesin, H3K4me3, H3K27ac, H3K36me3, H3K27me3, central nervous system, mice, epigenomics
- MeSH terms
- Animals, Brain, Gene Expression Regulation, Histones, Humans, Transcription Factors, Cluster Analysis, Mice, Single-Cell Analysis
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.
A language model drew the claims from the paper on 2026-10-07, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-07 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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