biomedical and healthCAre Data Discovery Index Ecosystem
biomedical and healthCAre Data Discovery Index Ecosystem
| Title: | Identity, proliferation capacity, genomic stability and novel senescence markers of mesenchymal stem cells isolated from low volume of human bone marrow (II)
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| dateReleased: |
02-29-2016
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| description: |
Human bone marrow mesenchymal stem cells (hBM-MSCs) hold promise for treating diseases for which currently no therapeutic options exist. High quantities of MSCs are needed, requiring extensive cell expansion in long-term culture. However, the fundamental biological properties of MSCs can be altered by culture conditions. In this study, hBM-MSCs were isolated from residual human bone marrow (hBM) material and expanded to clinically relevant numbers at passage 3-4. The cells had normal morphology, proliferation rate, immunophenotype and karyotype. Despite the chromosomal stability, after additional three passages (P6-P7) hBM-MSCs entered senescence state, confirmed by SA-β-galactosidase staining and paralleling the slower proliferation, altered morphology and imunophenotype. qRT-PCR array profiling revealed 10 out of 86 genes significantly (p <0.05) differentially (≥2 fold) expressed in the late passage cells compared to the early passage cells qPCR gene expression profiling. hBM-MSCs from 3 (1 male and 2 females) adult donors (age 30±7.21 years) were used. Each sample was tested in technical duplicate. 6 samples of early passage (P3-P4) hBM-MSCs were grouped to CONTROL group and 6 samples of late passage (P6-P7) hBM-MSCs were grouped to TEST group. The data were analyzed using web-based RT2 Profiler PCR Array Data Analysis v3.5 software (Qiagen)
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| privacy: |
not applicable
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| aggregation: |
instance of dataset
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| ID: |
E-GEOD-68931
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| refinement: |
raw
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| alternateIdentifiers: |
68931
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| keywords: |
functional genomics
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| dateModified: |
03-06-2016
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| availability: |
available
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| types: |
gene expression
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| name: |
Homo sapiens
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| ID: |
A-GEOD-20204
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| name: |
SABiosciences/Qiagen Human Cellular Senescence RT² Profiler PCR Array
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| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-68931/E-GEOD-68931.raw.1.zip |
| storedIn: |
ArrayExpress
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| qualifier: |
gzip compressed
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| format: |
TXT
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| accessType: |
download
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| authentication: |
none
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| authorization: |
none
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| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-68931/E-GEOD-68931.processed.1.zip |
| storedIn: |
ArrayExpress
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| qualifier: |
gzip compressed
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| format: |
TXT
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| accessType: |
download
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| authentication: |
none
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| authorization: |
none
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| accessURL: | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE68931 |
| storedIn: |
Gene Expression Omnibus
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| qualifier: |
not compressed
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| format: |
HTML
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| accessType: |
landing page
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| primary: |
true
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| authentication: |
none
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| authorization: |
none
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| abbreviation: |
EBI
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| homePage: | http://www.ebi.ac.uk/ |
| ID: |
SCR:004727
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| name: |
European Bioinformatics Institute
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| homePage: | https://www.ebi.ac.uk/arrayexpress/ |
| ID: |
SCR:002964
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| name: |
ArrayExpress
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