Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [perturb_seq]

ABSTRACT: A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [perturb_seq]

PROVIDER: PRJNA937657 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR23585006.fastq.gz	Fastqsanger.gz
	SRR23585007.fastq.gz	Fastqsanger.gz
	SRR23585008.fastq.gz	Fastqsanger.gz
	SRR23585009.fastq.gz	Fastqsanger.gz
	SRR23585010.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 22

Similar Datasets

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules

Project description:A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules

| PRJNA937646 | ENA

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [ZNF800_ko]

Project description:A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [ZNF800_ko]

| PRJNA1144801 | ENA

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [ATAC-Seq]

Project description:A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [ATAC-Seq]

| PRJNA937658 | ENA

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [Ribosomal profiling]

Project description:A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [Ribosomal profiling]

| PRJNA937656 | ENA

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [perturb_seq]

Project description:RNA-binding proteins (RBPs) are multifunctional regulators of gene expression with complex and context-dependent mechanisms of action, yet the regulatory grammar that underlies RBP-mediated functions remains underexplored. Here, we performed a multi-omic data integration to systematically decipher the context-specific functions of RBPs. First, we report a compendium of in vivo proximity-dependent biotinylation (BioID) datasets of 50 human RBPs, which we used to generate a large-scale map of RBP protein neighborhoods. In parallel, we took advantage of CRISPR-interference with single-cell RNA-seq read-out (Perturb-seq) to capture rich transcriptomic phenotypes downstream of each RBP knockdown. By combining these physical and functional interaction readouts, along with the ENCODE transcriptome-wide atlas of RBP binding sites from eCLIP assays, we generated an integrated map of functional RBP interactions. This map not only captures well-studied post-transcriptional processes, but also reveals numerous previously unknown RBP-mediated regulatory functions. For a number of these cases, we have validated their predicted context-specific RBP functions using biochemical and genetic approaches. By deciphering these complex modes of functional interactions between RBPs, we have taken the first step towards a more comprehensive understanding of post-transcriptional regulatory processes and their underlying molecular grammar.

2024-02-21 | GSE225807 | GEO

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [ZNF800_ko]

2024-09-30 | GSE274049 | GEO

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [Ribosomal profiling]

2024-02-21 | GSE225808 | GEO

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules [ATAC-Seq]

2024-02-21 | GSE225806 | GEO

A Unified Framework for Systematic Identification of Post-Transcriptional Regulatory Modules

Project description:This SuperSeries is composed of the SubSeries listed below.

2024-02-21 | GSE225809 | GEO

Systematic Identification of Post-Transcriptional Regulatory Modules

Project description:In our cells, a limited number of RNA binding proteins (RBPs) are responsible for all aspects of RNA metabolism across the entire transcriptome. To accomplish this, RBPs form regulatory units that act on specific target regulons. However, the landscape of RBP combinatorial interactions remains poorly explored. Here, we performed a systematic annotation of RBP combinatorial interactions via multimodal data integration. We built a large-scale map of RBP protein neighborhoods by generating in vivo proximity-dependent biotinylation datasets of 50 human RBPs. In parallel, we used CRISPR interference with single-cell readout to capture transcriptomic changes upon RBP knockdowns. By combining these physical and functional interaction readouts, along with the atlas of RBP mRNA targets from eCLIP assays, we generated an integrated map of functional RBP interactions. We then used this map to match RBPs to their context-specific functions and validated the predicted functions biochemically for four RBPs. This study highlights the previously underappreciated scale of the inter-RBP interactions, be it genetic or physical, and is a first step towards a more comprehensive understanding of post-transcriptional regulatory processes and their underlying molecular grammar.

2024-08-09 | PXD041608 | Pride

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