Evidence map›Paper›PMID 20388783›Full record

ArticleCancer research2010

Proteomic characterization of novel alternative splice variant proteins in human epidermal growth factor receptor 2/neu-induced breast cancers.

Rajasree Menon, Gilbert S Omenn

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

30 citing papers in PubMed, 60 citations in OpenAlex.

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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 at 1 institution in 1 country.

Rajasree MenonCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109-2218, USA. rajmenon@umich.edu
Gilbert S Omenn
University of Michigan–Ann Arbor · US

Funding

Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
NCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400/SUB-K 23XS110NIDA NIH HHS U54 DA021519
6 · The paper itself

Abstract

Multifaceted alternative splicing in cancer cells greatly diversifies protein structure independently of genome changes, but the characterization of cancer-associated splice variants is quite limited. In this study, we used mass spectrometric data to interrogate a custom-built database created with three-frame translations of mRNA sequences from Ensembl and ECgene to find alternative splice variant proteins. In mass spectrometric files from liquid chromatography tandem mass spectrometry (LC-MS/MS) analyses of normal mouse mammary glands or mammary tumors derived from conditional human epidermal growth factor receptor 2 (Her2)/neu transgenic mice, we identified a total of 608 alternative splice variants, of which peptides from 216 proteins were found only in the tumor sample. Among the 608 splice variants were 68 novel proteins that were not completely matched to any known protein sequence in mice, for which we found known functional motifs. Biological process enrichment analysis of the splice variants identified suggested the involvement of these proteins especially in cell motility and translation initiation. The cancer-associated differentially expressed splice variant proteins offer novel biomarker candidates that may function in breast cancer progression or metastasis.

Indexed as

Amino Acid SequenceAnimalsBreast NeoplasmsChromatography, LiquidDisease Models, AnimalErb-b2 Receptor Tyrosine KinasesFemaleHumansMammary Neoplasms, ExperimentalMiceMolecular Sequence DataProtein IsoformsProteomicsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerTandem Mass SpectrometryErb-b2 Receptor Tyrosine KinasesProtein IsoformsRNA, Messenger

Identifiers

PMID20388783
PMCPMC2866518
OpenAlexW2126647821

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.