Evidence map›Paper›PMID 27150017›Full record

ArticleScientific reports2016

Generation and gene expression profiling of 48 transcription-factor-inducible mouse embryonic stem cell lines.

Kohei Yamamizu, Alexei A Sharov, Yulan Piao, Misa Amano, Hong Yu, Akira Nishiyama, Dawood B Dudekula, David Schlessinger, Minoru S H Ko

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Induction of specific neuron types by overexpression of single transcription factors.In vitro cellular & developmental biology. Animal · 2016
    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

9 authors at 3 institutions in 2 countries.

Kohei YamamizuLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Alexei A SharovLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Yulan PiaoLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Misa AmanoLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Hong YuLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Akira NishiyamaLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Dawood B DudekulaLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
David SchlessingerLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Minoru S H KoLaboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
National Institute on Aging · USNational Institutes of Health · USKeio University · JP

Funding

Placenta specific and ribosomal RNA genes: structure and functionZIAAG000646 · NIA · NATIONAL INSTITUTE ON AGING · PI NAGARAJA, RAMAIAH · 2009 to 2025
$12.9M
Systematic analysis of gene regulatory networksZIAAG000656 · NIA · NATIONAL INSTITUTE ON AGING · PI SCHLESSINGER, DAVID · 2009 to 2016
$3.9M
Systematic analysis of gene regulatory networksZ01AG000656 · NIA · NATIONAL INSTITUTE ON AGING · PI KO, MINORU S · 1999 to 2008
$1.6M
Intramural NIH HHS Z01 AG000656Intramural NIH HHS ZIA AG000656
6 · The paper itself

Abstract

Mouse embryonic stem cells (ESCs) can differentiate into a wide range - and possibly all cell types in vitro, and thus provide an ideal platform to study systematically the action of transcription factors (TFs) in cell differentiation. Previously, we have generated and analyzed 137 TF-inducible mouse ESC lines. As an extension of this "NIA Mouse ESC Bank," we generated and characterized 48 additional mouse ESC lines, in which single TFs in each line could be induced in a doxycycline-controllable manner. Together, with the previous ESC lines, the bank now comprises 185 TF-manipulable ESC lines (>10% of all mouse TFs). Global gene expression (transcriptome) profiling revealed that the induction of individual TFs in mouse ESCs for 48 hours shifts their transcriptomes toward specific differentiation fates (e.g., neural lineages by Myt1 Isl1, and St18; mesodermal lineages by Pitx1, Pitx2, Barhl2, and Lmx1a; white blood cells by Myb, Etv2, and Tbx6, and ovary by Pitx1, Pitx2, and Dmrtc2). These data also provide and lists of inferred target genes of each TF and possible functions of these TFs. The results demonstrate the utility of mouse ESC lines and their transcriptome data for understanding the mechanism of cell differentiation and the function of TFs.

Indexed as

Gene Expression ProfilingAnimalsBiomarkersCell DifferentiationCell LineGene Expression RegulationGene OntologyMiceMouse Embryonic Stem CellsOrgan SpecificityPhenotypeProtein BindingReproducibility of ResultsTranscription FactorsTranscriptomeBiomarkersTranscription Factors

Identifiers

PMID27150017
PMCPMC4858678
OpenAlexW2347183301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.