Evidence map›Paper›PMID 17205601›Full record

ArticleProteomics2007

Proteomic profiling identifies breast tumor metastasis-associated factors in an isogenic model.

Paweena Kreunin, Chul Yoo, Virginia Urquidi, David M Lubman, Steve Goodison

Abstract read
In one paragraph

Article in Proteomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Nuclear repartitioning of galectin-1 by an extracellular glycan switch regulates mammary morphogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
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  4. Article
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  9. Review
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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

5 authors.

Paweena KreuninDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Chul Yoo
Virginia Urquidi
David M Lubman
Steve Goodison

Funding

Functional Analysis of metastasis-Associated ProteinsR01CA108597 · NCI · UNIVERSITY OF FLORIDA · PI GOODISON, STEVE · 2004 to 2008
$1.3M
NCI NIH HHS R01 CA108597
6 · The paper itself

Abstract

A combination of LC and MS was applied to an isogenic breast tumor metastasis model to identify proteins associated with a cellular phenotype. Chromatofocusing followed by nonporous-RP-HPLC/ESI-TOF MS was applied to cell lysates of a pair of monoclonal cell lines from the human breast carcinoma cell line MDA-MB-435 that have different metastatic phenotypes in immune-compromised mice. This method was developed to separate proteins based on pI and hydrophobicity. The high resolution and mass accuracy of ESI-TOF measurements provided a good correlation of theoretical MW and experimental Mr values of intact proteins measured in mass maps obtained in the pH range 3.8-6.4. The isolated proteins were digested by trypsin and analyzed by MALDI-TOF MS, MALDI-QIT-TOF MS, and monolith-based HPLC/MS/MS. The unique combination of the techniques provided valuable information including quantitation and modification of proteins. We identified 89 selected proteins, of which 43 were confirmed as differentially expressed. Metastasis-associated proteins included galectin-1, whereas annexin I and annexin II were associated with the nonmetastatic phenotype. In this study, we demonstrate that combining a variety of MS tools with a multidimensional liquid-phase separation provides the ability to map cellular protein content, to search for modified proteins, and to correlate protein expression with cellular phenotype.

Indexed as

Gene Expression ProfilingModels, BiologicalProteomicsBiomarkers, TumorBreast NeoplasmsCell Line, TumorFemaleHumansNeoplasm MetastasisNeoplasm ProteinsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID17205601
PMCPMC2663396

What OpenQuestion holds

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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.