Evidence map›Paper›PMID 21172049›Full record

ArticleBMC bioinformatics2010

The utility of mass spectrometry-based proteomic data for validation of novel alternative splice forms reconstructed from RNA-Seq data: a preliminary assessment.

Kang Ning, Alexey I Nesvizhskii

Abstract readValidation Study
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  7. Empowering Shotgun Mass Spectrometry with 2DE: A HepG2 Study.International journal of molecular sciences · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kang NingDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, USA. ningkang@qibebt.ac.cn
Alexey I Nesvizhskii

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Analysis and Statistical Validation of Proteomic DatasetsR01CA126239 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NESVIZHSKII, ALEXEY I · 2006 to 2009
$1.2M
NCI NIH HHS R01 CA126239NCI NIH HHS R01-CA-126239NIGMS NIH HHS R01 GM094231NIGMS NIH HHS R01-GM-094231
6 · The paper itself

Abstract

backgroundMost mass spectrometry (MS) based proteomic studies depend on searching acquired tandem mass (MS/MS) spectra against databases of known protein sequences. In these experiments, however, a large number of high quality spectra remain unassigned. These spectra may correspond to novel peptides not present in the database, especially those corresponding to novel alternative splice (AS) forms. Recently, fast and comprehensive profiling of mammalian genomes using deep sequencing (i.e. RNA-Seq) has become possible. MS-based proteomics can potentially be used as an aid for protein-level validation of novel AS events observed in RNA-Seq data.

resultsIn this work, we have used publicly available mouse tissue proteomic and RNA-Seq datasets and have examined the feasibility of using MS data for the identification of novel AS forms by searching MS/MS spectra against translated mRNA sequences derived from RNA-Seq data. A significant correlation between the likelihood of identifying a peptide from MS/MS data and the number of reads in RNA-Seq data for the same gene was observed. Based on in silico experiments, it was also observed that only a fraction of novel AS forms identified from RNA-Seq had the corresponding junction peptide compatible with MS/MS sequencing. The number of novel peptides that were actually identified from MS/MS spectra was substantially lower than the number expected based on in silico analysis.

conclusionsThe ability to confirm novel AS forms from MS/MS data in the dataset analyzed was found to be quite limited. This can be explained in part by low abundance of many novel transcripts, with the abundance of their corresponding protein products falling below the limit of detection by MS.

Indexed as

Alternative SplicingSequence Analysis, RNAAnimalsDatabases, FactualDatabases, ProteinHigh-Throughput Nucleotide SequencingMass SpectrometryMicePeptidesProteinsProteomicsRNA, MessengerSequence Analysis, ProteinPeptidesProteinsRNA, Messenger

Identifiers

PMID21172049
PMCPMC3024872

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.