Evidence map›Paper›PMID 23550731›Full record

ArticleCellular reprogramming2013

Oct4 promoter activity in stem cells obtained through somatic reprogramming.

Winfried H Krueger, Borko Tanasijevic, Carol Norris, X Cindy Tian, Theodore P Rasmussen

Open access · greenAbstract read
In one paragraph

Article in Cellular reprogramming, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Winfried H KruegerDepartment of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269, USA.
Borko Tanasijevic
Carol Norris
X Cindy Tian
Theodore P Rasmussen
University of Connecticut · USFisher Bioservices (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple methods exist that can reprogram differentiated cells to a pluripotent state similar to that of embryonic stem cells (ESCs). These include somatic cell nuclear transfer (SCNT), fusion-mediated reprogramming (FMR) of somatic cells with ESCs, and the production of induced pluripotent stem cells (iPSCs). All of these methods yield cells in which the endogenous Oct4 gene is reactivated. We were interested in comparing the activity of the Oct4 promoter in three different classes of pluripotent cells, including normal ESCs, FMR cells (FMRCs), and iPSCs. We prepared cells of all three types that harbor a transgene composed of the mouse Oct4 promoter driving green fluorescent protein (Oct4-GFP). All cell derivations started with a characterized transgenic Oct4-GFP mouse, and from this we derived ESCs, FMRCs, and iPSCs with the Oct4-GFP transgene present in an identical genomic integration site in all three cell types. Using flow cytometry we assessed Oct4 promoter expression, cell cycle behavior, and differentiation kinetics. We found similar levels of GFP expression in all three cell types and no significant alterations in pluripotency or differentiation. Our results suggest that the pluripotent condition is a potent "local attractor" state, because it can be achieved through three vastly different avenues.

Indexed as

Cell TransdifferentiationPromoter Regions, GeneticAnimalsCell LineEmbryonic Stem CellsMiceMice, TransgenicOctamer Transcription Factor-3Pluripotent Stem CellsTransgenesOctamer Transcription Factor-3Pou5f1 protein, mouse

Identifiers

PMID23550731
PMCPMC3616451
OpenAlexW1515763304

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.