Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Large-scale mapping of branchpoints in human pre-mRNA transcripts in vivo.

ABSTRACT: We present the first large-scale identification of lariats-the transient branched introns that are released as a byproduct of pre-mRNA splicing. The locations of the branchpoints in these introns provide insight into the early steps of splicing. From this data set, we have developed a comprehensive model of 3' splice-site selection, identified new mechanisms of alternative splicing and mapped the distribution of splicing factors around branchpoints.

SUBMITTER: Taggart AJ

PROVIDER: S-EPMC3465671 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Large-scale mapping of branchpoints in human pre-mRNA transcripts in vivo.

Taggart Allison J AJ DeSimone Alec M AM Shih Janice S JS Filloux Madeleine E ME Fairbrother William G WG

Nature structural & molecular biology 20120617 7

We present the first large-scale identification of lariats-the transient branched introns that are released as a byproduct of pre-mRNA splicing. The locations of the branchpoints in these introns provide insight into the early steps of splicing. From this data set, we have developed a comprehensive model of 3' splice-site selection, identified new mechanisms of alternative splicing and mapped the distribution of splicing factors around branchpoints. ...[more]

PMID: 22705790

Similar Datasets

Diverse transcriptional initiation revealed by fine, large-scale mapping of mRNA start sites.

Project description:Determination of the mRNA start site is the first step in identifying the promoter region, which is of key importance for transcriptional regulation of gene expression. The 'oligo-capping' method enabled us to introduce a sequence tag to the first base of an mRNA by replacing the cap structure of the mRNA. Using cDNA libraries made from oligo-capped mRNAs, we could identify the transcriptional start site of an individual mRNA just by sequencing the 5'-end of the cDNA. The fine mapping of transcriptional start sites was performed for 5880 mRNAs in 276 human genes. Contrary to our expectations, the majority of the genes showed a diverse distribution of transcriptional start sites. They were distributed over 61.7 bp with a standard deviation of 19.5. Our finding may reflect the dynamic nature of transcriptional initiation events of human genes in vivo.

| S-EPMC1083880 | biostudies-other

Atlases of cognition with large-scale human brain mapping.

Project description:To map the neural substrate of mental function, cognitive neuroimaging relies on controlled psychological manipulations that engage brain systems associated with specific cognitive processes. In order to build comprehensive atlases of cognitive function in the brain, it must assemble maps for many different cognitive processes, which often evoke overlapping patterns of activation. Such data aggregation faces contrasting goals: on the one hand finding correspondences across vastly different cognitive experiments, while on the other hand precisely describing the function of any given brain region. Here we introduce a new analysis framework that tackles these difficulties and thereby enables the generation of brain atlases for cognitive function. The approach leverages ontologies of cognitive concepts and multi-label brain decoding to map the neural substrate of these concepts. We demonstrate the approach by building an atlas of functional brain organization based on 30 diverse functional neuroimaging studies, totaling 196 different experimental conditions. Unlike conventional brain mapping, this functional atlas supports robust reverse inference: predicting the mental processes from brain activity in the regions delineated by the atlas. To establish that this reverse inference is indeed governed by the corresponding concepts, and not idiosyncrasies of experimental designs, we show that it can accurately decode the cognitive concepts recruited in new tasks. These results demonstrate that aggregating independent task-fMRI studies can provide a more precise global atlas of selective associations between brain and cognition.

| S-EPMC6289578 | biostudies-literature

Large scale chromosomal mapping of human microRNA structural clusters.

Project description:MicroRNAs (miRNAs) can group together along the human genome to form stable secondary structures made of several hairpins hosting miRNAs in their stems. The few known examples of such structures are all involved in cancer development. A large scale computational analysis of human chromosomes crossing sequence analysis and deep sequencing data revealed the presence of >400 structural clusters of miRNAs in the human genome. An a posteriori analysis validates predictions as bona fide miRNAs. A functional analysis of structural clusters position along the chromosomes co-localizes them with genes involved in several key cellular processes like immune systems, sensory systems, signal transduction and development. Immune systems diseases, infectious diseases and neurodegenerative diseases are characterized by genes that are especially well organized around structural clusters of miRNAs. Target genes functional analysis strongly supports a regulatory role of most predicted miRNAs and, notably, a strong involvement of predicted miRNAs in the regulation of cancer pathways. This analysis provides new fundamental insights on the genomic organization of miRNAs in human chromosomes.

| S-EPMC3632110 | biostudies-literature

In vivo mRNA display enables large-scale proteomics by next generation sequencing.

Project description:Large-scale proteomic methods are essential for the functional characterization of proteins in their native cellular context. However, proteomics has lagged far behind genomic approaches in scalability, standardization, and cost. Here, we introduce in vivo mRNA display, a technology that converts a variety of proteomics applications into a DNA sequencing problem. In vivo-expressed proteins are coupled with their encoding messenger RNAs (mRNAs) via a high-affinity stem-loop RNA binding domain interaction, enabling high-throughput identification of proteins with high sensitivity and specificity by next generation DNA sequencing. We have generated a high-coverage in vivo mRNA display library of the Saccharomyces cerevisiae proteome and demonstrated its potential for characterizing subcellular localization and interactions of proteins expressed in their native cellular context. In vivo mRNA display libraries promise to circumvent the limitations of mass spectrometry-based proteomics and leverage the exponentially improving cost and throughput of DNA sequencing to systematically characterize native functional proteomes.

| S-EPMC7604504 | biostudies-literature

Large-scale mapping of human protein interactome using structural complexes.

Project description:Although the identification of protein interactions by high-throughput (HTP) methods progresses at a fast pace, 'interactome' data sets still suffer from high rates of false positives and low coverage. To map the human protein interactome, we describe a new framework that uses experimental evidence on structural complexes, the atomic details of binding interfaces and evolutionary conservation. The structurally inferred interaction network is highly modular and more functionally coherent compared with experimental interaction networks derived from multiple literature citations. Moreover, structurally inferred and high-confidence HTP networks complement each other well, allowing us to construct a merged network to generate testable hypotheses and provide valuable experimental leads.

| S-EPMC3296913 | biostudies-literature

Large-scale mapping and mutagenesis of human transcriptional effector domains.

Project description:Human gene expression is regulated by more than 2,000 transcription factors and chromatin regulators1,2. Effector domains within these proteins can activate or repress transcription. However, for many of these regulators we do not know what type of effector domains they contain, their location in the protein, their activation and repression strengths, and the sequences that are necessary for their functions. Here, we systematically measure the effector activity of more than 100,000 protein fragments tiling across most chromatin regulators and transcription factors in human cells (2,047 proteins). By testing the effect they have when recruited at reporter genes, we annotate 374 activation domains and 715 repression domains, roughly 80% of which are new and have not been previously annotated3-5. Rational mutagenesis and deletion scans across all the effector domains reveal aromatic and/or leucine residues interspersed with acidic, proline, serine and/or glutamine residues are necessary for activation domain activity. Furthermore, most repression domain sequences contain sites for small ubiquitin-like modifier (SUMO)ylation, short interaction motifs for recruiting corepressors or are structured binding domains for recruiting other repressive proteins. We discover bifunctional domains that can both activate and repress, some of which dynamically split a cell population into high- and low-expression subpopulations. Our systematic annotation and characterization of effector domains provide a rich resource for understanding the function of human transcription factors and chromatin regulators, engineering compact tools for controlling gene expression and refining predictive models of effector domain function.

| S-EPMC10484233 | biostudies-literature

in vivo mRNA display: Large-scale Proteomics by Next Generation Sequencing

Project description:We introduce in vivo mRNA display, a technology that converts a variety of proteomics applications into a DNA sequencing problem.

2020-10-09 | GSE154643 | GEO

Large-scale mapping of human protein-protein interactions by mass spectrometry.

Project description:Mapping protein-protein interactions is an invaluable tool for understanding protein function. Here, we report the first large-scale study of protein-protein interactions in human cells using a mass spectrometry-based approach. The study maps protein interactions for 338 bait proteins that were selected based on known or suspected disease and functional associations. Large-scale immunoprecipitation of Flag-tagged versions of these proteins followed by LC-ESI-MS/MS analysis resulted in the identification of 24,540 potential protein interactions. False positives and redundant hits were filtered out using empirical criteria and a calculated interaction confidence score, producing a data set of 6463 interactions between 2235 distinct proteins. This data set was further cross-validated using previously published and predicted human protein interactions. In-depth mining of the data set shows that it represents a valuable source of novel protein-protein interactions with relevance to human diseases. In addition, via our preliminary analysis, we report many novel protein interactions and pathway associations.

| S-EPMC1847948 | biostudies-literature

A large-scale analysis of mRNA polyadenylation of human and mouse genes.

Project description:mRNA polyadenylation is a critical cellular process in eukaryotes. It involves 3' end cleavage of nascent mRNAs and addition of the poly(A) tail, which plays important roles in many aspects of the cellular metabolism of mRNA. The process is controlled by various cis-acting elements surrounding the cleavage site, and their binding factors. In this study, we surveyed genome regions containing cleavage sites [herein called poly(A) sites], for 13,942 human and 11,155 mouse genes. We found that a great proportion of human and mouse genes have alternative polyadenylation ( approximately 54 and 32%, respectively). The conservation of alternative polyadenylation type or polyadenylation configuration between human and mouse orthologs is statistically significant, indicating that alternative polyadenylation is widely employed by these two species to produce alternative gene transcripts. Genes belonging to several functional groups, indicated by their Gene Ontology annotations, are biased with respect to polyadenylation configuration. Many poly(A) sites harbor multiple cleavage sites (51.25% human and 46.97% mouse sites), leading to heterogeneous 3' end formation for transcripts. This implies that the cleavage process of polyadenylation is largely imprecise. Different types of poly(A) sites, with regard to their relative locations in a gene, are found to have distinct nucleotide composition in surrounding genomic regions. This large-scale study provides important insights into the mechanism of polyadenylation in mammalian species and represents a genomic view of the regulation of gene expression by alternative polyadenylation.

| S-EPMC546146 | biostudies-literature

Large Scale Mapping of the trimethyl Guanosine Cap on Human RNAs

Project description:Nucleotides on RNA are chemically modified during biogenesis of various mammalian RNA species and RNA modifications have profound effects on RNA function. The 2,2,7-trimethylguanosine modification of the 5′ of RNA molecules is one of the earliest discovered modified nucleotides on mammalian RNAs. Although the TMG cap is one of the most intensively studied RNA modifications, its distribution on a global scale has not been explored. In this study, the locations of the TMG cap on human RNA is determined, using RNA immunoprecipitation coupled with high-throughput sequencing. Although all prototypical modification sites were supported by this study, modification positions of some RNAs were erroneously annotated. In contrast to prototypic sites, many sites reported later were not validated at all. In addition to annotated modification sites, novel candidate sites were found on small Cajal body-specific RNAs.

2024-09-29 | GSE277971 | GEO

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