Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP

ABSTRACT: This SuperSeries is composed of the SubSeries listed below. GSE200432 - TLC-CLIP data GSE225357 - RNA-Seq data

ORGANISM(S): Homo sapiens

PROVIDER: GSE225358 | GEO | 2023/05/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP [dataset 1]

Project description:RNA-binding proteins are instrumental for post-transcriptional gene regulation, yet transcriptome-wide methods to profile RNA-protein interactions remain technically challenging. We present an improved library preparation strategy for cross-linking and immunoprecipitation (CLIP) that involves tailing and ligation of cDNA molecules (TLC) for increased sensitivity and efficiency. TLC-CLIP eliminates time-consuming purifications, reduces sample loss, and minimises experimental steps, allowing precise profiling of RNA-protein interactions from limited starting material at nucleotide resolution.

2023-05-10 | GSE200432 | GEO

Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP [dataset 2]

2023-05-10 | GSE225357 | GEO

Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP

Project description:Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP

| PRJNA935334 | ENA

Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP [dataset 2]

Project description:Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP [dataset 2]

| PRJNA935340 | ENA

Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP [dataset 1]

Project description:Efficient and sensitive profiling of RNA-protein interactions using TLC-CLIP [dataset 1]

| PRJNA824502 | ENA

Implementation of PAR-CLIP to characterize RNA-protein interactions in prokaryotes at nucleotide resolution

Project description:The identification of RNAs that are recognized by RNA-binding proteins (RNA-BPs) using techniques such as Crosslinking and Immunoprecipitation (CLIP) has revolutionized the genome-wide discovery of RNA-BP RNA targets. Among the different versions of CLIP that have been developed, the use of photoactivable nucleoside analogs has resulted in high efficiency photoactivable ribonucleoside-enhanced CLIP (PAR-CLIP) in vivo. Nonetheless, PAR-CLIP has not yet been applied in prokaryotes. To determine if PAR-CLIP can be used in prokaryotes, we determined suitable conditions for the incorporation of 4-thiouridine (4SU), a photoactivable nucleoside, into E. coli RNA and for the isolation of RNA crosslinked to RNA-BPs of interest. Applying this technique to Hfq, a well-characterized regulator of small RNA (sRNA)-messenger RNA (mRNA) interactions, we showed that PAR-CLIP identified most of the known sRNA targets of Hfq, as well as functionally relevant sites of Hfq-mRNA interactions at nucleotide resolution. Based on our findings, PAR-CLIP represents an improved method to identify both the RNAs and the specific regulatory sites that are recognized by RNA-BPs in prokaryotes.

2022-10-18 | MSV000090547 | MassIVE

Analysis of CLIP and iCLIP methods for nucleotide-resolution studies of protein-RNA interactions

Project description:UV cross-linking and immunoprecipitation (CLIP) and individual-nucleotide resolution CLIP (iCLIP) are the most frequently used methods to study protein-RNA interactions in the intact cells and tissues, but their relative advantages or inherent biases have not been evaluated. To benchmark CLIP and iCLIP method, we performed iCLIP with Nova protein, which is the most extensively studied protein by CLIP. Further, we assessed UV-C-induced cross-linking preferences, by exploiting the UV-independent formation of covalent RNA cross-links of the mutant RNA methylase NSUN2.

2012-07-20 | E-MTAB-1008 | biostudies-arrayexpress

Subcellular refinement of RNA binding protein target interactions with colocalization CLIP [CLIP-seq]

Project description:RNA binding proteins (RBPs) are essential for RNA metabolism and have profound impacts in both health and disease. The subcellular organization of RBP interaction networks with target RNAs remains largely unexplored. Here, we develop colocalization CLIP, a method that combines CrossLinking and ImmunoPrecipitation (CLIP) with proximity labeling, to explore in-depth the subcellular RNA interactions of the well-studied RNA-binding protein HuR. Using this method, we uncover HuR's dynamic and location-specific interactions with RNA, revealing alterations in sequence preferences and interactions in the nucleus, cytosol, or stress granule compartments. We uncover HuR's unique binding preferences within stress granules during arsenite stress, illuminating intricate interactions that conventional methodologies cannot capture. Overall, coCLIP provides a powerful method for revealing RBP:RNA interactions based on localization, and lays the foundation for an advanced understanding of RBP models that incorporate subcellular location as a critical determinant of their functions.

2023-10-25 | GSE245209 | GEO

Subcellular refinement of RNA binding protein target interactions with colocalization CLIP [CLIP-seq]

Project description:Subcellular refinement of RNA binding protein target interactions with colocalization CLIP [CLIP-seq]

| PRJNA1027370 | ENA

CLIP-seq analysis of integrase-RNA interactions

Project description:Integrase CLIP-seq experiments were conducted on wild-type and eccentric HIV-1 virions generated in the presence of allosteric integrase inhibitors and IN K264/266A and R269/K273A mutations Integrase CLIP-seq experiments were conducted by immunoprecipitation of integrase-RNA complexes from fully formed mature and eccentric virus particles. Libraries of RNA molecules bound by integrase were generated and sequenced by Illumina Hi-Seq2000 and 2500 platforms.

2016-08-25 | E-GEOD-83588 | 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