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Status |
Public on May 17, 2013 |
Title |
Using RNA-Seq to create sample-specific proteomic databases that enable mass spectrometric discovery of splice junction peptides |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
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.
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Overall design |
Jurkat T-cell mRNA was analyzed on an Illumina HiSeq2000. ~80 million paired end reads (2x200bp, ~350bp lengths) were collected.
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Contributor(s) |
Sheynkman G, Smith L |
Citation(s) |
23629695 |
Submission date |
Mar 22, 2013 |
Last update date |
May 15, 2019 |
Contact name |
Gloria Sheynkman |
E-mail(s) |
gloria.kreitinger@gmail.com
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Organization name |
UW-Madison
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Department |
Chemistry
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Lab |
Lloyd Smith
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Street address |
1101 University Ave.
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City |
Madison |
State/province |
WI |
ZIP/Postal code |
53715 |
Country |
USA |
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Platforms (1) |
GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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Samples (3) |
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Relations |
BioProject |
PRJNA193719 |
SRA |
SRP019939 |
Supplementary file |
Size |
Download |
File type/resource |
GSE45428_Jurkat_RSEM_TPMs.txt.gz |
432.5 Kb |
(ftp)(http) |
TXT |
GSE45428_Jurkat_tophatJunctions.bed.gz |
5.5 Mb |
(ftp)(http) |
BED |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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