Evidence map›Paper›PMID 22580589›Full record

ArticleMolecular & cellular proteomics : MCP2012

Proteomics-based dissection of human endoderm progenitors by differential cell capture on antibody array.

Revital Sharivkin, Michael D Walker, Yoav Soen

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. The quest of cell surface markers for stem cell therapy.Cellular and molecular life sciences : CMLS · 2021
    Review
  2. Selection for CD26Frontiers in endocrinology · 2021
    Article
  3. Review
  4. Article
  5. 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

3 authors.

Revital SharivkinDepartment of Biological Chemistry, Weizmann Institute of Science, Rehovot, 76100, Israel.
Michael D Walker
Yoav Soen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity, shortage of material, and lack of progenitor-specific cell surface markers are major obstacles to elucidating the mechanisms underlying developmental processes. Here we report a proteomics platform that alleviates these difficulties and demonstrate its effectiveness in fractionating heterogeneous cultures of early endoderm derived from human embryonic stem cells. The approach, designated differential cell-capture antibody array, is based on highly parallel, comparative screening of live cell populations using hundreds of antibodies directed against cell-surface antigens. We used this platform to fractionate the hitherto unresolved early endoderm compartment of CXCR4+ cells and identify several endoderm (CD61+ and CD63+) and non-endoderm (CD271+, CD49F+, CD44+ and B2M+) sub-populations. We provide evidence that one of these sub-populations, CD61+, is directly derived from CXCR4+ cells, displays characteristic kinetics of emergence, and exhibits a distinct gene expression profile. The results demonstrate the potential of the cell-capture antibody array as a powerful proteomics tool for detailed dissection of heterogeneous cellular systems.

Indexed as

ProteomicsAntibodiesAntigens, SurfaceBiomarkersCell DifferentiationCell LineCell LineageCell SeparationEmbryonic Stem CellsEndodermFlow CytometryHumansHyaluronan ReceptorsIntegrin alpha6Integrin beta3Nerve Tissue ProteinsAntibodiesAntigens, SurfaceBiomarkersCD44 protein, humanCD63 protein, humanCXCR4 protein, humanHyaluronan ReceptorsIntegrin alpha6Integrin beta3Nerve Tissue ProteinsNGFR protein, humanReceptors, CXCR4Receptors, Nerve Growth FactorTetraspanin 30

Identifiers

PMID22580589
PMCPMC3434777

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.