Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi-scale chromatin footprinting reveals wide-spread alterations to the structure of DNA regulatory elements [scATAC]

ABSTRACT: Cis-regulatory elements (CREs) are bound by diverse chromatin-associated proteins, cooperate to establish gene expression, and change in structure over time to alter cell fate and function1–3. Here, we develop a footprinting framework that uses deep learning to correct Tn5 sequence bias, improving accuracy and reducing false positives. This framework additionally identifies the interaction of DNA with objects of various sizes. Using these ‘multi-scale footprints’ we find that transcription factor (TF) binding occurs at well-defined distances from nucleosomes. Further, we demonstrate that multi-scale footprints, which include the positions of nucleosomes, enable more accurate inference of TF binding. Using multi-scale footprinting with single-cell multi-omics, we discover wide-spread structural and functional changes of CREs across hematopoiesis, wherein nucleosomes slide, expose DNA for TF binding, and promote gene expression. Finally, we apply this single-cell and footprint approach to characterize age-associated structural changes to CREs within hematopoietic stem cells and identify a spectrum of cells harboring age-associated changes to the epigenome. Interestingly, we find extensive changes to the structure of CREs upon aging, with many age-associated changes altering CRE structure while preserving overall accessibility. Collectively, we reveal the dynamics and functional importance of CRE structure, highlighting changes to gene regulation at single-cell and single-base-pair resolution.

ORGANISM(S): Mus musculus

PROVIDER: GSE216406 | GEO | 2023/03/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Multi-scale chromatin footprinting reveals wide-spread alterations to the structure of DNA regulatory elements [scRNA-Seq]

Project description:Cis-regulatory elements (CREs) are bound by diverse chromatin-associated proteins, cooperate to establish gene expression, and change in structure over time to alter cell fate and function1–3. Here, we develop a footprinting framework that uses deep learning to correct Tn5 sequence bias, improving accuracy and reducing false positives. This framework additionally identifies the interaction of DNA with objects of various sizes. Using these ‘multi-scale footprints’ we find that transcription factor (TF) binding occurs at well-defined distances from nucleosomes. Further, we demonstrate that multi-scale footprints, which include the positions of nucleosomes, enable more accurate inference of TF binding. Using multi-scale footprinting with single-cell multi-omics, we discover wide-spread structural and functional changes of CREs across hematopoiesis, wherein nucleosomes slide, expose DNA for TF binding, and promote gene expression. Finally, we apply this single-cell and footprint approach to characterize age-associated structural changes to CREs within hematopoietic stem cells and identify a spectrum of cells harboring age-associated changes to the epigenome. Interestingly, we find extensive changes to the structure of CREs upon aging, with many age-associated changes altering CRE structure while preserving overall accessibility. Collectively, we reveal the dynamics and functional importance of CRE structure, highlighting changes to gene regulation at single-cell and single-base-pair resolution.

2023-03-29 | GSE216405 | GEO

Multi-scale chromatin footprinting reveals wide-spread alterations to the structure of DNA regulatory elements [SHARE-Seq]

2023-03-29 | GSE216404 | GEO

Multi-scale chromatin footprinting reveals wide-spread alterations to the structure of DNA regulatory elements [Human BMMC ATAC]

2023-03-29 | GSE216462 | GEO

Multi-scale chromatin footprinting reveals wide-spread alterations to the structure of DNA regulatory elements [Human BMMC RNA]

2023-03-29 | GSE216461 | GEO

Multi-scale chromatin footprinting reveals wide-spread alterations to the structure of DNA regulatory elements [BAC]

2023-03-29 | GSE216403 | GEO

Conservation of mouse-human trans-regulatory circuitry despite high cis-regulatory divergence

Project description:The basic body plan and major physiological axes have been highly conserved during mammalian evolution, yet only a small fraction of the human genome sequence appears to be subject to evolutionary constraint. To quantify cis- versus trans-acting contributions to mammalian regulatory evolution, we performed genomic DNase I footprinting of the mouse genome across 25 cell and tissue types, collectively defining ~8.6 million transcription factor (TF) occupancy sites at nucleotide resolution. Here we show that mouse TF footprints conjointly encode a regulatory lexicon that is ~95% similar with that derived from human TF footprints. However, only ~20% of mouse TF footprints have human orthologues. Despite substantial turnover of the cis-regulatory landscape, nearly half of all pairwise regulatory interactions connecting mouse TF genes have been maintained in orthologous human cell types through evolutionary innovation of TF recognition sequences. Furthermore, the higher-level organization of mouse TF-to-TF connections into cellular network architectures is nearly identical with human. Our results indicate that evolutionary selection on mammalian gene regulation is targeted chiefly at the level of trans-regulatory circuitry, enabling and potentiating cis-regulatory plasticity. We performed genomic DNase I footprinting of the mouse genome across 25 cell and tissue types, collectively defining ~8.6 million transcription factor (TF) occupancy sites at nucleotide resolution.

2014-11-19 | E-GEOD-51341 | biostudies-arrayexpress

Explicit DNase sequence bias modeling enables high resolution transcription factor footprint detection

Project description:DNase I footprinting is an established assay for identifying transcription factor (TF)-DNA interactions with single base pair resolution. High throughput DNase-seq assays have recently been used to detect in vivo DNase footprints across the genome. A number of computational approaches have been developed to accurately identify DNase-seq footprints and these methods have been used as a predictor of TF-DNA interactions by itself or in combination with other epigenetic features. However, recent studies have pointed to a substantial cleavage bias of DNase and its impact on footprinting, casting doubts on its predictive performance. To assess the potential for using DNaseI to identify individual binding sites, we performed DNase-seq experiments on deproteinized naked genomic DNA isolated from two different cell types and determined sequence cleavage bias associated with the DNase-seq protocol. This allowed us to build cleavage bias corrected footprint models specific to individual transcription factors. The predictive performance of these DNase-seq-based binding site models demonstrated that predicted footprints corresponded to high confidence TF-DNA interactions. To quantify the DNase I sequence-dependent cleavage bias, we performed DNase-seq experiments using deproteinized DNA from K562 and MCF7 cell lines.

2014-09-04 | E-GEOD-61105 | biostudies-arrayexpress

Regulation of nucleosome architecture and factor binding revealed by nuclease footprinting of the ESC genome

Project description:Functional interactions between gene regulatory factors and chromatin architecture have been difficult to directly assess. Here, we use micrococcal nuclease (MNase) footprinting to probe the functions of two chromatin remodeling complexes. By simultaneously quantifying alterations in small MNase footprints over the binding sites of 30 regulatory factors in mouse embryonic stem cells (ESCs), we provide evidence that esBAF and Mbd3/NuRD modulate the binding of several regulatory proteins. In addition, we find that nucleosome occupancy is reduced at specific loci in favor of subnucleosomes upon depletion of esBAF, including sites of histone H2A.Z localization. Consistent with these data, we demonstrate that esBAF is required for normal H2A.Z localization in ESCs, suggesting esBAF either stabilizes H2A.Z-containing nucleosomes or promotes subnucleosome to nucleosome conversion by facilitating H2A.Z deposition. Therefore, integrative examination of MNase footprints reveals insights into nucleosome dynamics and functional interactions between chromatin structure and key gene regulatory factors. Examine three read size footprints from MNase-Seq in EGFP KD, Mbd3 KD, and Smarca4 KD mESCs using ChIP-Seq datasets.

2015-08-27 | E-GEOD-68400 | biostudies-arrayexpress

Explicit DNase sequence bias modeling enables high resolution transcription factor footprint detection

2014-09-04 | GSE61105 | GEO

Amplicon based single molecule footprinting on ES cells and derivatives

Project description:Single Molecule Footprinting (SMF) data from Sonmezer et al., 2020. SMF data is obtained by treating isolated nuclei with methyltransferases, where binding of proteins on DNA, e.g. nucleosomes and TFs, leave behind unmethylated cytosines as footprints. Data in this experiment comprises SMF data obtained from ES cells and various derivatives of ES cells, such DNMT-null, REST-knockout ES cells, neural progenitors and ES cells treated with NRF1 sirNA.

2020-12-26 | E-MTAB-9033 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data