Evidence map›Paper›PMID 21136598›Full record

ArticleProteomics2010

A systems biology analysis of metastatic melanoma using in-depth three-dimensional protein profiling.

Mee-Jung Han, Huan Wang, Lynn A Beer, Hsin-Yao Tang, Meenhard Herlyn, David W Speicher

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proteomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Novel Bacterial Surface Display System Based on theJournal of microbiology and biotechnology · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

6 authors at 2 institutions in 2 countries.

Mee-Jung HanThe Wistar Institute, Philadelphia, PA 19104, USA. mjhan75@dyu.ac.kr
Huan Wang
Lynn A Beer
Hsin-Yao Tang
Meenhard Herlyn
David W Speicher
The Wistar Institute · USDongyang University · KR

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9M
Tissue &PathologyP50CA093372 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2001 to 2009
$15.4M
Novel Comprehensive Proteome Analyses of MetastasisR33CA092725 · NCI · WISTAR INSTITUTE · PI SPEICHER, DAVID W. · 2002 to 2004
$1.9M
Novel Comprehensive Proteome Analyses of MetastasisR21CA092725 · NCI · WISTAR INSTITUTE · PI SPEICHER, DAVID W. · 2001 to 2001
$166k
NCI NIH HHS CA10815NCI NIH HHS CA92725NCI NIH HHS CA93372NCI NIH HHS P30 CA010815NCI NIH HHS P50 CA093372NCI NIH HHS R21 CA092725NCI NIH HHS R33 CA092725
6 · The paper itself

Abstract

Melanoma is an excellent model to study molecular mechanisms of tumor progression because melanoma usually develops through a series of architecturally and phenotypically distinct stages that are progressively more aggressive, culminating in highly metastatic cells. In this study, we used an in-depth, 3-D protein level, comparative proteome analysis of two genetically, very closely related melanoma cell lines with low- and high-metastatic potentials to identify proteins and key pathways involved in tumor progression. This proteome comparison utilized fluorescent tagging of cell lysates followed by microscale solution IEF prefractionation and subsequent analysis of each fraction on narrow-range 2-D gels. LC-MS/MS analysis of gel spots exhibiting significant abundance changes identified 110 unique proteins. The majority of observed abundance changes closely correlate with biological processes central to cancer progression, such as cell death and growth and tumorigenesis. In addition, the vast majority of protein changes mapped to six cellular networks, which included known oncogenes (JNK, c-myc, and N-myc) and tumor suppressor genes (p53 and transforming growth factor-β) as critical components. These six networks showed substantial connectivity, and most of the major biological functions associated with these pathways are involved in tumor progression. These results provide novel insights into cellular pathways implicated in melanoma metastasis.

Indexed as

AnimalsGene Regulatory NetworksHumansMelanomaMetabolic Networks and PathwaysMiceProteomeSkin NeoplasmsSystems BiologyTumor Cells, CulturedProteome

Identifiers

PMID21136598
PMCPMC3070844
OpenAlexW1971309858

What OpenQuestion holds

Textmetadata
LicenceTDM
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.