Evidence map›Paper›PMID 23959330›Full record

ArticleStem cell research2013

Intra-subject variability in human bone marrow stromal cell (BMSC) replicative senescence: molecular changes associated with BMSC senescence.

Jiaqiang Ren, David F Stroncek, Yingdong Zhao, Ping Jin, Luciano Castiello, Sara Civini, Huan Wang, Ji Feng, Katherine Tran, Sergei A Kuznetsov and 2 more

Open access · greenAbstract read
In one paragraph

Article in Stem cell research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 61 citations in OpenAlex.

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  13. Building Strong Neighborhoods in the Lung with a Little Help from My Mesenchymal Stem Cells.American journal of respiratory and critical care medicine · 2019
    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

12 authors at 3 institutions in 1 country.

Jiaqiang RenDepartment of Transfusion Medicine, Clinical Center, National Institutes of Health, 10 Center Dr., Bethesda, MD 20892, USA. Electronic address: renj@mail.nih.gov.
David F Stroncek
Yingdong Zhao
Ping Jin
Luciano Castiello
Sara Civini
Huan Wang
Ji Feng
Katherine Tran
Sergei A Kuznetsov
Pamela G Robey
Marianna Sabatino
National Institutes of Health Clinical Center · USNational Institutes of Health · USNational Cancer Institute · US

Funding

The role of stem cells in skeletal health and diseaseZIADE000380 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI ROBEY, PAMELA G · 2009 to 2025
$30.6M
NIDCR DIR Production FacilitiesZIBDE000730 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI ROBEY, PAMELA G · 2009 to 2014
$1.2M
Develop novel assays for assessing cellular and gene therapiesZIACL002119 · CLC · CLINICAL CENTER · PI STRONCEK, DAVID · 2010 to 2025
$0k
Intramural NIH HHS ZIA CL002119
6 · The paper itself

Abstract

The outcomes of clinical trials using bone marrow stromal cell (BMSC) are variable; the degree of the expansion of BMSCs during clinical manufacturing may contribute to this variability since cell expansion is limited by senescence. Human BMSCs from aspirates of healthy subjects were subcultured serially until cell growth stopped. Phenotype and functional measurements of BMSCs from two subjects including senescence-associated beta-galactosidase staining and colony formation efficiency changed from an early to a senescence pattern at passage 6 or 7. Transcriptome analysis of 10 early and 15 late passage BMSC samples from 5 subjects revealed 2122 differentially expressed genes, which were associated with immune response, development, and cell proliferation pathways. Analysis of 57 serial BMSC samples from 7 donors revealed that the change from an early to senescent profile was variable among subjects and occurred prior to changes in phenotypes. BMSC age expressed as a percentage of maximum population doublings (PDs) was a good indicator for an early or senescence transcription signature but this measure of BMSC life span can only be calculated after expanding BMSCs to senescence. In order to find a more useful surrogate measure of BMSC age, we used a computational biology approach to identify a set of genes whose expression at each passage would predict elapsed age of BMSCs. A total of 155 genes were highly correlated with BMSC age. A least angle regression algorithm identified a set of 24 BMSC age-predictive genes. In conclusion, the onset of senescence-associated molecular changes was variable and preceded changes in other indicators of BMSC quality and senescence. The 24 BMSC age predictive genes will be useful in assessing the quality of clinical BMSC products.

Indexed as

Cellular SenescenceBiomarkersBone Marrow CellsCell ProliferationCells, CulturedCluster AnalysisGene Expression ProfilingHumansMesenchymal Stem CellsPhenotypeRegression AnalysisSignal TransductionBiomarkers

Identifiers

PMID23959330
PMCPMC3818332
OpenAlexW1986169880

What OpenQuestion holds

Textmetadata
LicenceTDM
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.