Evidence map›Paper›PMID 25765520›Full record

ArticleStem cell research2015

Identification of a candidate stem cell in human gallbladder.

Rohan Manohar, Yaming Li, Helene Fohrer, Lynda Guzik, Donna Beer Stolz, Uma R Chandran, William A LaFramboise, Eric Lagasse

Open access · goldAbstract read
In one paragraph

Article in Stem cell research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. CD73 and PD-L1 as Potential Therapeutic Targets in Gallbladder Cancer.International journal of molecular sciences · 2022
    Article
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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

8 authors at 2 institutions in 1 country.

Rohan ManoharMcGowan Institute for Regenerative Medicine, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh PA, USA. Electronic address: rohanraoul@Gmail.com.
Yaming LiMcGowan Institute for Regenerative Medicine, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh PA, USA. Electronic address: liy6@upmc.edu.
Helene FohrerMcGowan Institute for Regenerative Medicine, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh PA, USA. Electronic address: fohrerh@gmail.com.
Lynda GuzikMcGowan Institute for Regenerative Medicine, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh PA, USA. Electronic address: GuziLJ@ccm.upmc.edu.
Donna Beer StolzCenter for Biological Imaging, Department of Cell Biology and Physiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: dstolz@pitt.edu.
Uma R ChandranDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; University of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, PA, USA. Electronic address: chandranur@upmc.edu.
William A LaFramboiseUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, PA, USA; Clinical Genomics Facility, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: laframboisewa@upmc.edu.
Eric LagasseMcGowan Institute for Regenerative Medicine, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh PA, USA. Electronic address: lagasse@pitt.edu.
University of Pittsburgh · USMcGowan Institute for Regenerative Medicine · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Organogenesis of Ectopic Tissue in Lymph NodeR01DK085711 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAGASSE, ERIC · 2009 to 2013
$3.6M
NCATS NIH HHS UL1 TR000005NIDDK NIH HHS R01 DK085711
6 · The paper itself

Abstract

There are currently no reports of identification of stem cells in human gallbladder. The differences between human gallbladder and intrahepatic bile duct (IHBD) cells have also not been explored. The goals of this study were to evaluate if human fetal gallbladder contains a candidate stem cell population and if fetal gallbladder cells are distinct from fetal IHBD cells. We found that EpCAM+CD44+CD13+ cells represent the cell population most enriched for clonal self-renewal from primary gallbladder. Primary EpCAM+CD44+CD13+ cells gave rise to EpCAM+CD44+CD13+ and EpCAM+CD44+CD13- cells in vitro, and gallbladder cells expanded in vitro exhibited short-term engraftment in vivo. Last, we found that CD13, CD227, CD66, CD26 and CD49b were differentially expressed between gallbladder and IHBD cells cultured in vitro indicating clear phenotypic differences between the two cell populations. Microarray analyses of expanded cultures confirmed that both cell types have unique transcriptional profiles with predicted functional differences in lipid, carbohydrate, nucleic acid and drug metabolism. In conclusion, we have isolated a distinct clonogenic population of epithelial cells from primary human fetal gallbladder with stem cell characteristics and found it to be unique compared to IHBD cells.

Indexed as

Antigens, NeoplasmBile Ducts, IntrahepaticBiomarkersCD13 AntigensCell Adhesion MoleculesCell DifferentiationCells, CulturedCell Self RenewalEpithelial Cell Adhesion MoleculeGallbladderGene Expression ProfilingHumansHyaluronan ReceptorsOligonucleotide Array Sequence AnalysisPhenotypeStem CellsAntigens, NeoplasmBiomarkersCD13 AntigensCell Adhesion MoleculesEPCAM protein, humanEpithelial Cell Adhesion MoleculeHyaluronan Receptors

Identifiers

PMID25765520
PMCPMC4439375
OpenAlexW2024164363

What OpenQuestion holds

Textmetadata
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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.