Evidence map›Paper›PMID 19912046›Full record

ArticleTissue engineering. Part A2010

Efficient procurement of epithelial stem cells from human tissue specimens using a Rho-associated protein kinase inhibitor Y-27632.

Atsushi Terunuma, Renuka Pudi Limgala, Christine J Park, Isha Choudhary, Jonathan C Vogel

Abstract read
In one paragraph

Article in Tissue engineering. Part A, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

46 citing papers in PubMed, 75 citations in OpenAlex.

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    Review
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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 3 institutions in 1 country.

Atsushi TerunumaDermatology Branch, Center for Cancer Research, National Cancer Institute , National Institutes of Health, Bethesda, MD, USA. atsushi@mail.nih.gov
Renuka Pudi Limgala
Christine J Park
Isha Choudhary
Jonathan C Vogel
Center for Cancer Research · USNational Cancer Institute · USNational Institutes of Health · US

Funding

Keratinocyte Stem Cells and Cancer Stem Cells in Non-Melanoma Skin CancerZIABC010542 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI VOGEL, JONATHAN · 2009 to 2010
$2.1M
Prostate stem cells and cancer stem cellsZIABC010695 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI VOGEL, JONATHAN · 2009 to 2010
$593k
Keratinocyte Gene TherapyZIASC003670 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI VOGEL, JONATHAN · 2009 to 2010
$297k
Intramural NIH HHS
6 · The paper itself

Abstract

The efficient culture of stem cells from epithelial tissues such as skin and corneas is important for both experimental studies and clinical applications of tissue engineering. We now demonstrate that treatment of human-skin-derived keratinocytes with a Rho-associated protein kinase inhibitor Y-27632 for the initial 6 days of primary culture can increase the number of keratinocytes that possess stem cell properties to form colonies during in vitro culture of freshly isolated cells and subsequent passage (50-fold). Further, we show that Y-27632 treatment can increase the total number of prostate epithelial cells derived from human prostate specimens. Therefore, the use of Y-27632 during primary cultures offers a simple and effective way to prepare a large number of epithelial stem cells from various human epithelial tissues.

Indexed as

3T3 CellsAmidesAnimalsCells, CulturedCell SeparationCoculture TechniquesEnzyme InhibitorsEpithelial CellsForeskinHumansInfant, NewbornKeratinocytesMaleMiceProstatePyridinesAmidesEnzyme InhibitorsPyridinesrho-Associated KinasesY 27632

Identifiers

PMID19912046
PMCPMC2862604
OpenAlexW2035572378

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.