2019
DOI: 10.1101/869560
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Beyond accessibility: ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation

Abstract: While footprinting analysis of ATAC-seq data can theoretically enable investigation of transcription factor (TF) binding, the lack of a computational tool able to conduct different levels of footprinting analysis has so-far hindered the widespread application of this method. Here we present TOBIAS, a comprehensive, accurate, and fast footprinting framework enabling genome-wide investigation of TF binding dynamics for hundreds of TFs simultaneously. As a proof-of-concept, we illustrate how TOBIAS can unveil com… Show more

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Cited by 8 publications
(11 citation statements)
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“…To further assess which transcription factors might be involved in gene expression control, we carried out footprinting analysis on differential accessible regions from our ATAC-seq datasets (Fig. 3B; Bentsen et al, 2019). In differential accessible regions, motifs for KLF (e.g.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To further assess which transcription factors might be involved in gene expression control, we carried out footprinting analysis on differential accessible regions from our ATAC-seq datasets (Fig. 3B; Bentsen et al, 2019). In differential accessible regions, motifs for KLF (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…To analyse footprinting signatures in ATAC-seq data the TOBIAS package was used (v0.5.1; Bentsen et al, 2019; available at https://github.molgen.mpg.de/loosolab/TOBIAS). Merged BAM files from each condition were processed using ATACorrect, footprint scores calculated using FootprintScores and differential footprinting analysis using BINDetect.…”
Section: Methodsmentioning
confidence: 99%
“…Peaks were called using MACS2 [56]. TF footprinting was performed with TOBIAS [57] based on the aligned reads, peaks and TF motifs from JASPAR (JASPAR 2020 non-redundant vertebrate CORE PFMs) [58]. TOBIAS performs Tn5 bias correction, generates footprint scores for each base within the peaks, scans for TFBSs using the given TF motifs, and finally classifies each TFBS as bound or unbound based on the footprint scores.…”
Section: Methodsmentioning
confidence: 99%
“…S3B). To identify transcription factors whose occupancy was modified, we carried out in silico footprinting analyses of the differentially accessible regions at the proximal promoter 27 and Ins2, but also Gcg or Sst and sometimes all three was seen along with intermediate cells in clusters 1 and 4, with cluster 4 cells trans-differentiating to an alpha and perhaps also delta cell identity ( Fig. 6C and Fig.…”
Section: Taf4 Regulated Gene Expression Programs In Beta Cellsmentioning
confidence: 99%