Evidence map›Paper›PMID 17993717›Full record

ArticleCancer genomics & proteomics

Differential expression of ribosomal proteins in a human metastasis model identified by coupling 2-D liquid chromatography and mass spectrometry.

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

Abstract readComparative Study
In one paragraph

Article in Cancer genomics & proteomics. 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
0.8field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Urinary glycoprotein biomarker discovery for bladder cancer detection using LC/MS-MS and label-free quantification.Clinical cancer research : an official journal of the American Association for Cancer Research · 2011
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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 at 2 institutions in 1 country.

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

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

backgroundProteomic profiling of an experimental tumor metastasis model has the potential to identify gene products that can influence this fatal phenotype of tumor cells. In this study, we focused on the notoriously difficult to assess ribosomal protein component of a pair of cell lines which originate from the same tumor but have opposite metastatic capabilities. MATERIALS AND

methodsCell lysate proteins were separated using a two-dimensional liquid chromatographic system directly coupled to an ESI-TOF mass spectrometer for accurate intact protein MW analysis. Characterization of distinct post-translational modifications and sequence variation within several ribosomal proteins was obtained using monolithic capillary LC/MS/MS, MALDI-MS and -MS/MS.

resultsThe combination of these techniques enabled the identification of 45 unique ribosomal proteins, several of which were differentially expressed in metastatic M4A4 cells.

conclusionThe described proteomic profiling approach enables the identification of phenotype-associated ribosomal proteins for subsequent functional analyses and disease biomarker development.

Indexed as

Models, BiologicalSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationCell Line, TumorChromatography, LiquidGene Expression ProfilingHumansMolecular Sequence DataNeoplasm MetastasisNeoplasm ProteinsProteomicsRibosomal ProteinsNeoplasm ProteinsRibosomal Proteins

Identifiers

PMID17993717
PMCPMC3426217
OpenAlexW2187969232

What OpenQuestion holds

Textmetadata
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.