Evidence map›Paper›PMID 18313397›Full record

ArticleBiochemical and biophysical research communications2008

Profiling TRA-1-81 antigen distribution on a human embryonic stem cell.

Dengli Qiu, Jialing Xiang, Zhaoxia Li, Aparna Krishnamoorthy, Liaohai Chen, Rong Wang

Open access · greenAbstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Adapting collagen/CNT matrix in directing hESC differentiation.Biochemical and biophysical research communications · 2009
    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 3 institutions in 1 country.

Dengli QiuDepartment of Biological, Chemical and Physical Sciences, Illinois Institute of Technology, 3101 S. Dearborn Street, Life Sciences Building, Chicago, IL 60616, USA.
Jialing Xiang
Zhaoxia Li
Aparna Krishnamoorthy
Liaohai Chen
Rong Wang
Illinois Institute of Technology · USPhysical Sciences (United States) · USArgonne National Laboratory · US

Funding

Nanotechnology for Systems Biology of Neural Stem CellsR01NS047719 · NINDS · UNIVERSITY OF CHICAGO · PI CHEN, LIAOHAI · 2005 to 2008
$2.1M
NINDS NIH HHS R01 NS047719
6 · The paper itself

Abstract

Human embryonic stem (hES) cells hold great promise in regenerative medicine. Although hES cells have unlimited self-renewal potential, they tend to differentiate spontaneously in culture. TRA-1-81 is a biomarker of undifferentiated hES cells. Quantitative characterization of TRA-1-81 expression level in a single cell helps capture the "turn-on" signal and understand the mechanism of early differentiation. Here, we report on our examination of TRA-1-81 distribution and association on a hES cell membrane using an atomic force microscope (AFM). Our results suggest that aggregated distribution of TRA-1-81 antigen is characteristic for undifferentiated hES cells. We also evaluated the TRA-1-81 expression level at approximately 17,800 epitopes and approximately 700 epitopes per cell on an undifferentiated cell and a spontaneously differentiated cell, respectively. The method in this study can be adapted in examining other surface proteins on various cell types, thus providing a general tool for investigating protein distribution and association at the single cell level.

Indexed as

Antigens, SurfaceCell LineCell MembraneEmbryonic Stem CellsEpitope MappingHumansAntigens, SurfaceTRA-1-81 antigen, human

Identifiers

PMID18313397
PMCPMC2712930
OpenAlexW2088730441

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.