Evidence map›Paper›PMID 19112179›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2009

Defining developmental potency and cell lineage trajectories by expression profiling of differentiating mouse embryonic stem cells.

Kazuhiro Aiba, Timur Nedorezov, Yulan Piao, Akira Nishiyama, Ryo Matoba, Lioudmila V Sharova, Alexei A Sharov, Shinya Yamanaka, Hitoshi Niwa, Minoru S H Ko

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Chromatin properties of regulatory DNA probed by manipulation of transcription factors.Journal of computational biology : a journal of computational molecular cell biology · 2014
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Learning biomarkers of pluripotent stem cells in mouse.DNA research : an international journal for rapid publication of reports on genes and genomes · 2011
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

10 authors.

Kazuhiro AibaDevelopmental Genomics and Aging Section, Laboratory of Genetics, National Institute on Aging, NIH, Baltimore, MD 21224, USA.
Timur Nedorezov
Yulan Piao
Akira Nishiyama
Ryo Matoba
Lioudmila V Sharova
Alexei A Sharov
Shinya Yamanaka
Hitoshi Niwa
Minoru S H Ko

Funding

Systematic analysis of gene regulatory networksZIAAG000656 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2009 to 2016
$3.9M
Expression profiling of mouse embryonic and tissue stem cellsZIAAG000662 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2009 to 2012
$2.0M
Expression Profiling Of Mouse Embryonic Somatic Stem CeZ01AG000662 · NIA · NATIONAL INSTITUTE ON AGING · PI KO, MINORU S · 2001 to 2008
$1.1M
Intramural NIH HHS Z01 AG000662NIA NIH HHS Z01 AG000662
6 · The paper itself

Abstract

Biologists rely on morphology, function and specific markers to define the differentiation status of cells. Transcript profiling has expanded the repertoire of these markers by providing the snapshot of cellular status that reflects the activity of all genes. However, such data have been used only to assess relative similarities and differences of these cells. Here we show that principal component analysis of global gene expression profiles map cells in multidimensional transcript profile space and the positions of differentiating cells progress in a stepwise manner along trajectories starting from undifferentiated embryonic stem (ES) cells located in the apex. We present three 'cell lineage trajectories', which represent the differentiation of ES cells into the first three lineages in mammalian development: primitive endoderm, trophoblast and primitive ectoderm/neural ectoderm. The positions of the cells along these trajectories seem to reflect the developmental potency of cells and can be used as a scale for the potential of cells. Indeed, we show that embryonic germ cells and induced pluripotent cells are mapped near the origin of the trajectories, whereas mouse embryo fibroblast and fibroblast cell lines are mapped near the far end of the trajectories. We suggest that this method can be used as the non-operational semi-quantitative definition of cell differentiation status and developmental potency. Furthermore, the global expression profiles of cell lineages provide a framework for the future study of in vitro and in vivo cell differentiation.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsCell DifferentiationCell LineageEmbryonic Stem CellsGene Expression ProfilingMice

Identifiers

PMID19112179
PMCPMC2644347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.