Evidence map›Paper›PMID 24111759›Full record

ArticleJournal of proteome research2014

Distinct splice variants and pathway enrichment in the cell-line models of aggressive human breast cancer subtypes.

Rajasree Menon, Hogune Im, Emma Yue Zhang, Shiaw-Lin Wu, Rui Chen, Michael Snyder, William S Hancock, Gilbert S Omenn

Abstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

8 authors.

Rajasree MenonDepartment of Computational Medicine & Bioinformatics, University of Michigan , 100 Washtenaw Avenue, Ann Arbor, Michigan 48109, United States.
Hogune Im
Emma Yue Zhang
Shiaw-Lin Wu
Rui Chen
Michael Snyder
William S Hancock
Gilbert S Omenn

Funding

MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
Human Genome Array: Technology for Functional AnalysisP50HG002357 · NHGRI · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 2001 to 2010
$31.9M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Replication of Human Endogenous Retroviruses in Modern HumansR01CA144043 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARKOVITZ, DAVID MICHAEL · 2009 to 2013
$6.4M
Glycan Markers for the Early Detection of Breast CancerU01CA128427 · NCI · NORTHEASTERN UNIVERSITY · PI HANCOCK, WILLIAM S · 2007 to 2011
$1.6M
NCI NIH HHS 1U24CA160036NCI NIH HHS R01 CA144043NCI NIH HHS U01 CA128427NCI NIH HHS U01-CA128427NCI NIH HHS U24 CA160036NCRR NIH HHS UL1 RR024986NCRR NIH HHS UL1RR24986NHGRI NIH HHS 5P50HG00235711-3NHGRI NIH HHS P50 HG002357NIDA NIH HHS U54 DA021519NIDA NIH HHS U54DA021519NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P30 U54ES017885RMOD NIH HHS RM-08-029
6 · The paper itself

Abstract

This study was conducted as a part of the Chromosome-Centric Human Proteome Project (C-HPP) of the Human Proteome Organization. The United States team of C-HPP is focused on characterizing the protein-coding genes in chromosome 17. Despite its small size, chromosome 17 is rich in protein-coding genes; it contains many cancer-associated genes, including BRCA1, ERBB2, (Her2/neu), and TP53. The goal of this study was to examine the splice variants expressed in three ERBB2 expressed breast cancer cell-line models of hormone-receptor-negative breast cancers by integrating RNA-Seq and proteomic mass spectrometry data. The cell lines represent distinct phenotypic variations subtype: SKBR3 (ERBB2+ (overexpression)/ER-/PR-; adenocarcinoma), SUM190 (ERBB2+ (overexpression)/ER-/PR-; inflammatory breast cancer), and SUM149 (ERBB2 (low expression) ER-/PR-; inflammatory breast cancer). We identified more than one splice variant for 1167 genes expressed in at least one of the three cancer cell lines. We found multiple variants of genes that are in the signaling pathways downstream of ERBB2 along with variants specific to one cancer cell line compared with the other two cancer cell lines and with normal mammary cells. The overall transcript profiles based on read counts indicated more similarities between SKBR3 and SUM190. The top-ranking Gene Ontology and BioCarta pathways for the cell-line specific variants pointed to distinct key mechanisms including: amino sugar metabolism, caspase activity, and endocytosis in SKBR3; different aspects of metabolism, especially of lipids in SUM190; cell-to-cell adhesion, integrin, and ERK1/ERK2 signaling; and translational control in SUM149. The analyses indicated an enrichment in the electron transport chain processes in the ERBB2 overexpressed cell line models and an association of nucleotide binding, RNA splicing, and translation processes with the IBC models, SUM190 and SUM149. Detailed experimental studies on the distinct variants identified from each of these three breast cancer cell line models that may open opportunities for drug target discovery and help unveil their specific roles in cancer progression and metastasis.

Indexed as

RNA SplicingBreast NeoplasmsCell Line, TumorFemaleHumansMass Spectrometry

Identifiers

PMID24111759
PMCPMC3943430

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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.