Evidence map›Paper›PMID 20486718›Full record

ArticleJournal of proteome research2010

Quantitative proteomic profiling studies of pancreatic cancer stem cells.

Lan Dai, Chen Li, Kerby A Shedden, Cheong J Lee, Chenwei Li, HuyVuong Quoc, Diane M Simeone, David M Lubman

Abstract read
In one paragraph

Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Discrimination of colon cancer stem cells using noncanonical amino acid.Chemical communications (Cambridge, England) · 2012
    Article
  14. Article
  15. Article
  16. Article
  17. Proteome-based biomarkers in pancreatic cancer.World journal of gastroenterology · 2011
    Review
  18. Article
  19. Review
  20. 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

8 authors.

Lan DaiBioinformatics Program, University of Michigan Medical Center, Ann Arbor, Michigan, USA.
Chen Li
Kerby A Shedden
Cheong J Lee
Chenwei Li
HuyVuong Quoc
Diane M Simeone
David M Lubman

Funding

Microsequencing in an Ion Trap/reTOF DeviceR01GM049500 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 1994 to 2016
$3.0M
Proteomic Pathways for Pancreatic Cancer Stem CellsR21CA134623 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2008 to 2009
$367k
NCI NIH HHS R21 CA134623NCI NIH HHS R21CA134623NIGMS NIH HHS R01 GM049500NIGMS NIH HHS R01GM49500
6 · The paper itself

Abstract

Analyzing subpopulations of tumor cells in tissue is a challenging subject in proteomic studies. Pancreatic cancer stem cells (CSCs) are such a group of cells that only constitute 0.2-0.8% of the total tumor cells but have been found to be the origin of pancreatic cancer carcinogenesis and metastasis. Global proteome profiling of pancreatic CSCs from xenograft tumors in mice is a promising way to unveil the molecular machinery underlying the signaling pathways. However, the extremely low availability of pancreatic tissue CSCs (around 10,000 cells per xenograft tumor or patient sample) has limited the utilization of currently standard proteomic approaches which do not work effectively with such a small amount of material. Herein, we describe the profiling of the proteome of pancreatic CSCs using a capillary scale shotgun technique by coupling offline capillary isoelectric focusing(cIEF) with nano reversed phase liquid chromatography(RPLC) followed by spectral counting peptide quantification. A whole cell lysate from 10,000 cells which corresponds to approximately 1 microg of protein material is equally divided for three repeated cIEF separations where around 300 ng of peptide material is used in each run. In comparison with a nontumorigenic tumor cell sample, among 1159 distinct proteins identified with FDR less than 0.2%, 169 differentially expressed proteins are identified after multiple testing corrections where 24% of the proteins are upregulated in the CSCs group. Ingenuity Pathway analysis of these differential expression signatures further suggests significant involvement of signaling pathways related to apoptosis, cell proliferation, inflammation, and metastasis.

Indexed as

ProteinsSignal TransductionAnimalsChromatography, Reverse-PhaseCluster AnalysisGene Expression ProfilingHumansIsoelectric FocusingMaleMiceMice, Inbred NODMice, SCIDNeoplastic Stem CellsPancreatic NeoplasmsProteomicsXenograft Model Antitumor AssaysProteins

Identifiers

PMID20486718
PMCPMC2906393

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.