Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Modified forms of easyCLIP

ABSTRACT: The easyCLIP protocol describes a method for both normal CLIP library construction and the absolute quantification of RNA cross-linking rates, data which could be usefully combined to analyze RNA-protein interactions. Using these cross-linking metrics, significant interactions could be defined relative to a set of random non-RBPs. The original easyCLIP protocol did not use index reads, required custom sequencing primers, and did not have an easily reproducible analysis workflow. This short paper attempts to amend these deficiencies. It also includes some additional technical experiments and investigates the usage of alternative adapters. The results here are intended to allow more options to easily perform and analyze easyCLIP.

ORGANISM(S): Homo sapiens

PROVIDER: GSE190678 | GEO | 2021/12/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Binding of the Zika virus genome to endogenous human transcripts

Project description:This study aims to study binding events between the Zika virus RNA genome and endogenous transcripts during infection of a human cell line. We develop a novel psolaren-based cross-linking technique to preserve interactions between mRNA and the Zika genome. Interacting RNA molecules are ligated together prior to reversal of the cross-links and selection for Zika-containing fragments. Reverse transcription and paired-end high-throughput sequencing then allow us to identify the interacting transcripts. We generated three batches of libraries, where all samples in each batch were generated from the same pool of RNA. Within each batch, we have the livefire sample, where the protocol was performed as described above; a reverse-control sample, where the protocol was performed by reversing the cross-links prior to ligation; and a no-cross-link control, where the protocol was performed without any cross-linking. The latter two samples represent negative controls where no genuine interactions should be observed.

2018-07-13 | E-MTAB-6427 | biostudies-arrayexpress

GNPS - Systematic analysis of NDUFAF6 in complex I assembly and mitochondrial disease

Project description:Cross-linking AE-MS dataset for NDUFAF6 interactions

2024-03-08 | MSV000094276 | GNPS

eXL-MS: An enhanced Cross-Linking Mass Spectrometry Workflow to Study Protein Complexes.

Project description:The analysis of proteins and protein complexes by cross-linking mass spectrometry (XL-MS) has expanded in the last dec-ade. However, mostly used approaches suffer important limitations in term of efficiency and sensitivity. We describe here a new workflow based on the advanced use of the trifunctional cross-linker NNP9. NNP9 carries an azido group allowing the quantitative and selective introduction of a biotin molecule into cross-linked proteins. The incorporation is performed by click-chemistry using an adapted version of the enhanced filter-aided sample preparation (eFASP) protocol. This protocol, based on the use of a molecular filter, allows a very high recovery of peptides after enzymatic digestion and complete re-moval of contaminants. This in turn offers the possibility to analyze very large membrane proteins solubilized in detergent. After trypsin digestion, biotinylated peptides can be easily enriched on monoavidin beads and analyzed by LC-MS/MS. The whole workflow was developed on creatine kinase in presence of detergent. It led to a drastic improvement in the number of identified cross-linked peptides (407 vs 81), compared to the conventional approach using a gel-based separation. One great advantage of our eXL-MS workflow is its high efficiency, allowing the analysis of very low amount of material (15 mi-crograms). We also demonstrate that Higher-Energy Collision Dissociation (HCD) outperforms Electron-Transfer/Higher-Energy Collision Dissociation (EThcD) in term of number of cross-linked peptides identified, but EThcD leads to better se-quence coverage than HCD and thus easier localization of cross-linking sites.

2021-08-11 | PXD010422 | Pride

Sensitive detection and structural characterisation of UV-induced cross-links in protein-ribonucleic acid complexes using stable isotope labelling and mass spectrometry

Project description:The recently introduced cross-linking of isotope-labelled RNA coupled with mass spectrometry (CLIR-MS) technique enables protein-RNA cross-links to be used as precisely localized distance restraints in de novo structural modelling, but little is known about the structural characteristics of UV-induced cross-links. Here we demonstrate protocol optimizations, and apply the enhanced protocol to a set of model protein-RNA complexes to better characterize the properties of UV-induced protein-RNA cross-links. We use these insights to study a non-canonical protein-RNA interaction between SF3A1 of the U2 snRNP and stem-loop 4 of the U1 snRNP, demonstrating that UV cross-linking and mass spectrometry is a reliable standalone data type for low resolution structural characterizations of protein-RNA interactions.

2023-09-06 | PXD029930 | Pride

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

Performance comparison of small RNA-Seq library preparation methods for biofluid samples

Project description:We report performance of six different protocols for small RNAseq library preparation and of a method utilizing sequencing of probes targeting microRNAs (HTG EdgeSeq). Recently, small RNA sequencing (small RNA-seq) has been introduced as a method for quantifying circulating microRNAs (miRNAs) and enabling their global profiling without prior knowledge of target sequences. Despite its great promise, small RNA-seq has not delivered the expected outcomes, particularly due to ligation and PCR bias introduced within the workflow. In this study, we assessed the performance of all existing approaches to the small RNA-seq of miRNAs in plasma samples: original two adapter ligation approach; single adapter ligation with subsequent circularization; polyadenylation; use of randomized adapters; and use of unique molecular identifiers (UMI). Using comprehensive set of metrics, we evaluated each protocol in terms of yield, precision, accuracy, sensitivity, and ability to detect isomiRs. Moreover, we assessed performance of targeted RNA-seq method utilizing hybridization probes across relevant metrics and together with RT-qPCR we used it as a reference for accuracy evaluation. The best results were delivered by targeted RNA-seq outperforming other methods in all relevant parameters. The protocols using randomized adapters or UMIs showed consistent good performance across all of the assessed metrics. In contrast, the polyadenylation approach generated a high percentage of discarded reads and impeded the analysis of isomiRs. The single adapter ligation with subsequent circularization failed to prevent ligation bias and the traditional two adapter ligation approach achieved the worse scores in the majority of tested metrics. To sum, we provide a comprehensive comparison that can serve as a guide for new users interested in analysis of circulating miRNAs and as a reference for further comparative studies.

2020-12-31 | GSE149513 | GEO

Systematic analysis of NDUFAF6 in complex I assembly and mitochondrial disease

Project description:Cross-linking AE-MS dataset for NDUFAF6 interactions

2024-03-08 | MSV000094276 | MassIVE

4D-diaXLMS: Proteome-wide Four-Dimensional Data-Independent Acquisition Workflow for Cross-linking Mass Spectrometry

Project description:Cross-linking Mass Spectrometry (XL-MS) is a powerful tool for examining protein structures and interactions. Nevertheless, anal-ysis of low-abundance cross-linked peptides is often limited in data-dependent acquisition (DDA) mode due to its semistochastic nature. To address this issue, we introduced a workflow called 4D-diaXLMS, representing the first-ever application of four-dimensional data-independent acquisition for proteome-wide cross-linking analysis.

2023-06-26 | PXD043282 |

Transcriptome-wide identification of RNA binding protein binding sites using seCLIP-seq

Project description:Discovery of interaction sites between RNA-binding proteins (RBPs) and their RNA targets plays a critical role in enabling our understanding of how these RBPs control RNA processing and regulation. Cross-linking and immunoprecipitation (CLIP) provides a generalizable, transcriptome-wide method by which RBP:RNA complexes are purified and sequenced to identify sites of intermolecular contact. By simplifying technical challenges in prior CLIP methods and incorporating the generation of and quantitative comparison against size-matched input controls, the single-end enhanced CLIP (seCLIP) protocol allows for the profiling of these interactions with high resolution, efficiency, and scalability.

2022-02-07 | GSE180686 | GEO

HeLa mRNA interactome

Project description:Pull-down of poly(A)-mRNA cross linked proteins using two cross-linking methods (conventional cross-linking and PAR-cross-linking) to identify all mRNA-binding proteins (GO:0003729). The provided data is quantitative proteomic data for comparison of cross-linking and control samples.

2012-08-14 | E-MTAB-869 | 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