Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

67 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Using RNA-Seq to create sample-specific proteomic databases that enable mass spectrometric discovery of splice junction peptides

ABSTRACT: Many new alternative splice forms have been detected at the transcript level using next generation sequencing (NGS) methods, especially RNA-Seq, but it is not known how many of these transcripts are being translated. Leveraging the unprecedented capabilities of NGS, we collected RNA-Seq and proteomics data from the same cell population (Jurkat cells) and created a bioinformatics pipeline that builds customized databases for the discovery of novel splice-junction peptides. Results: Eighty million paired-end Illumina reads and ~500,000 tandem mass spectra were used to identify 12,873 transcripts (19,320 including isoforms) and 6,810 proteins. We developed a bioinformatics workflow to retrieve high-confidence, novel splice junction sequences from the RNA data, translate these sequences into the analogous polypeptide sequence, and create a customized splice junction database for MS searching. Jurkat T-cell mRNA was analyzed on an Illumina HiSeq2000. ~80 million paired end reads (2x200bp, ~350bp lengths) were collected.

ORGANISM(S): Homo sapiens

SUBMITTER: Gloria Sheynkman

PROVIDER: E-GEOD-45428 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Using RNA-Seq to create sample-specific proteomic databases that enable mass spectrometric discovery of splice junction peptides

Project description:Many new alternative splice forms have been detected at the transcript level using next generation sequencing (NGS) methods, especially RNA-Seq, but it is not known how many of these transcripts are being translated. Leveraging the unprecedented capabilities of NGS, we collected RNA-Seq and proteomics data from the same cell population (Jurkat cells) and created a bioinformatics pipeline that builds customized databases for the discovery of novel splice-junction peptides. Results: Eighty million paired-end Illumina reads and ~500,000 tandem mass spectra were used to identify 12,873 transcripts (19,320 including isoforms) and 6,810 proteins. We developed a bioinformatics workflow to retrieve high-confidence, novel splice junction sequences from the RNA data, translate these sequences into the analogous polypeptide sequence, and create a customized splice junction database for MS searching.

2013-05-17 | GSE45428 | GEO

Genome-wide binding map of the HIV Tat protein to the human genome (ChIP-Seq)

Project description:The HIV-1 Trans-Activator of Transcription (Tat) protein binds to multiple host cellular factors and greatly enhances the level of transcription of the HIV genome. Here, we report the genome-wide binding map of Tat to the human genome in Jurkat T cells (Jurkat-Tat cells) using chromatin immunoprecipitation combined with next-generation sequencing. cDNA microarray was used to monitor gene expression changes between Jurkat and Jurkat-Tat cells. Additionally, we compared distribution of H3K9ac near gene promoters between Jurkat and Jurkat-Tat cells using ChIP-chip method and hybridized onto Agilent promoter array. Our data reveal that TatM-CM-"M-BM-^@M-BM-^Ys interaction with the host genome is more extensive than previously thought, with potentially important implications for the viral life cycle. Expression profiles on Jurkat-Tat cells versus Jurkat cells. ChIP on chip for H3K9ac in Jurkat-Tat versus Jurkat cells. ChIP-seq for HIV-1 Tat protein in Jurkat-Tat cells.

2011-11-06 | E-GEOD-30738 | biostudies-arrayexpress

Global impact of RNA polymerase II elongation inhibition on alternative splicing regulation (ChIP-Seq)

Project description:The rate of RNA polymerase II (pol II) elongation can influence splice site selection in nascent transcripts, yet the extent and physiological relevance of this kinetic coupling between transcription and alternative splicing is not well understood. We performed experiments to perturb pol II elongation and then globally compared alternative splicing patterns with genome-wide pol II occupancy. RNA binding and RNA processing functions were significantly enriched among the genes with pol II elongation inhibition-dependent changes in alternative splicing. Under conditions that interfere with pol II elongation, including cell stress, increased pol II occupancy was detected in the intronic regions flanking the alternative exons in these genes, and these exons generally became more included. A disproportionately high fraction of these exons introduced premature termination codons that elicited nonsense-mediated mRNA decay (NMD), thereby further reducing transcript levels. Our results provide evidence that kinetic coupling between transcription, alternative splicing and NMD affords a rapid mechanism by which cells can respond to changes in growth conditions, including cell stress, to coordinate the levels of RNA processing factors with mRNA levels. To monitor pol II distributions, chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-Seq) was performed using an anti-pol II antibody (4H8) and cross-linked chromatin preparations from Jurkat cells, treated with or without pol II elongation inhibitor 5,6-dichloro-1-β-D-ribofuranosyl-benzimidazole (DRB) at 10 and 25 ug/ml respectively prior to phorbol 12-myristate 13-acetate (PMA) stimulation, for 5000+ alternative splicing events.

2010-12-09 | E-GEOD-25494 | biostudies-arrayexpress

Genome-wide binding map of the HIV Tat protein to the human genome (gene expression)

Project description:The HIV-1 Trans-Activator of Transcription (Tat) protein binds to multiple host cellular factors and greatly enhances the level of transcription of the HIV genome. Here, we report the genome-wide binding map of Tat to the human genome in Jurkat T cells (Jurkat-Tat cells) using chromatin immunoprecipitation combined with next-generation sequencing. cDNA microarray was used to monitor gene expression changes between Jurkat and Jurkat-Tat cells. Additionally, we compared distribution of H3K9ac near gene promoters between Jurkat and Jurkat-Tat cells using ChIP-chip method and hybridized onto Agilent promoter array. Our data reveal that Tat’s interaction with the host genome is more extensive than previously thought, with potentially important implications for the viral life cycle. Agilent gene expression microarray was used to compare gene expression changes between Jurkat T cells and Jurkat T cells expressing HIV-Tat protein (Jurkat-Tat T cells) Expression profiles on Jurkat-Tat cells versus Jurkat cells. ChIP on chip for H3K9ac in Jurkat-Tat versus Jurkat cells. ChIP-seq for HIV-1 Tat protein in Jurkat-Tat cells.

2011-11-06 | E-GEOD-30734 | biostudies-arrayexpress

ChIP-Seq of RNA polymerase and co-factors in Jurkat T-ALL cells

Project description:Transcription of oncogenes is regulated by co-factors, some of which are now targetable with small molecules. This series contains ChIP-Seq targeting transcriptional co-factors and RNA polymerase from cells treated with small molecules targeting co-factors. ChIP-Seq of RNA polymerase and co-factors in Jurkat T-ALL cells

2016-06-27 | E-GEOD-83777 | biostudies-arrayexpress

Human colorectal cancer CPTAC dataset

Project description:This is a same data set generated by Vanderbilt University. 6M spectra was generated from 95 colorectal cancer samples. We used SpliceDB tool to generate a customized database which includes novel / alternative splice junction and small SNV information.

2015-06-18 | MSV000079166 | MassIVE

Kinome analysis of CD151 overexpressing Jurkat T cells

Project description:The effect of CD151 expression onto the kinome of Jurkat T cells was assessed using kinome analysis. CD151 was expressed in Jurkat T cells by retroviral transduction based on a pMSCV vector. Entrez Gene: 977 UniProtKB: P48509 Jurkat T cells were transduced with the MSCV-CD151 vector and successfully transduced cells were selected using puromycin. For the kinome array experiments 3 independent samples of Jurkat cells and three independent samples of J-CD151 cells were collected. To minimize unspecific background signals, lysates from Jurkat and J-CD151 T cells harvested at different growth stages, which were then pooled to provide one sample prior to loading on the Kinexus antibody microarrays.

2017-09-30 | E-MTAB-5978 | biostudies-arrayexpress

role of miR-146a on Jurkat T cells

Project description:screenning the differentially expressed genes of Jurkat-FF3, Jurkat-miR146a, Jurkat-miR146a-sponge cell lines. To investigate the role of miR-146a on Jurkat T cells, we screened the differentially expressed genes of Jurkat-FF3 (as control), Jurkat-miR146a (as miR-146a overexpression cell line), Jurkat-miR146a-sponge (as miR-146a knock down cell line).

2010-04-03 | E-GEOD-21132 | biostudies-arrayexpress

Genome-wide binding map of the HIV Tat protein to the human genome (ChIP-chip)

Project description:The HIV-1 Trans-Activator of Transcription (Tat) protein binds to multiple host cellular factors and greatly enhances the level of transcription of the HIV genome. Here, we report the genome-wide binding map of Tat to the human genome in Jurkat T cells (Jurkat-Tat cells) using chromatin immunoprecipitation combined with next-generation sequencing. cDNA microarray was used to monitor gene expression changes between Jurkat and Jurkat-Tat cells. Additionally, we compared distribution of H3K9ac near gene promoters between Jurkat and Jurkat-Tat cells using ChIP-chip method and hybridized onto Agilent promoter array. Our data reveal that Tat’s interaction with the host genome is more extensive than previously thought, with potentially important implications for the viral life cycle. Expression profiles on Jurkat-Tat cells versus Jurkat cells. ChIP on chip for H3K9ac in Jurkat-Tat versus Jurkat cells. ChIP-seq for HIV-1 Tat protein in Jurkat-Tat cells.

2011-11-06 | E-GEOD-30736 | biostudies-arrayexpress

Transcription profiling by array of human Jurkat T cells either over-expressing miR-146a or with miR-146a knockdown

Project description:Screening the differetial expressed genes with Jurkat-146a(miR-146a over expression),Jurkat-sponge(miR-146a knockdown),Jurkat-FF3(vector control)

2010-03-24 | E-MEXP-2627 | 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