Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

The impact of cell source, culture methodology, culture location and individual donors on gene expression profiles of bone marrow-derived and adipose-derived stromal cells.


ABSTRACT: Gene expression was influenced most by the tissue source, followed by culture methodology, next by location where the cells were cultured and lastly the donor variability. On the normalized log2 expression values per gene a multifactorial Analyses of Variance (ANOVA) was conducted. Factors CELL CULTURES (cell source), MEDIUM (culture methodology), LOCATION (culture location), and SCAN DATE (hybridization batch) were included in the ANOVA model as independent factors. The following pairwise comparisons were made; Fetal calf serum vs. Human platelet lysate, Bone marrow vs. Adipose tissue, Utrecht vs. Leiden, Utrecht vs Nijmegen, and Leiden vs Nijmegen. Changes ≥2 and Benjamini Hochberg corrected p-values <0.05 were considered significant.

ORGANISM(S): Homo sapiens

SUBMITTER: Ruurd Torensma 

PROVIDER: E-GEOD-42245 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

The impact of cell source, culture methodology, culture location, and individual donors on gene expression profiles of bone marrow-derived and adipose-derived stromal cells.

Torensma Ruurd R   Prins Henk-Jan HJ   Schrama Ellen E   Verwiel Eugène T P ET   Martens Anton C M AC   Roelofs Helene H   Jansen Bastiaan J H BJ  

Stem cells and development 20121221 7


Bone marrow (BM) stromal cells (MSCs), also known as mesenchymal stem cells, display a high degree of heterogeneity. To shed light on the causes of this heterogeneity, MSCs were collected from either human BM (n=5) or adipose tissue (AT) (n=5), and expanded using 2 different culture methods: one based on fetal calf serum, and one based on human platelet lysate. After initial expansion, MSCs were frozen, and the vials were transported to 3 different laboratories and grown for 1 passage using the  ...[more]

Similar Datasets

2013-01-01 | GSE42245 | GEO
2015-09-18 | E-GEOD-61203 | biostudies-arrayexpress
| PRJNA109091 | ENA
2015-08-07 | E-GEOD-71783 | biostudies-arrayexpress
2011-07-01 | E-GEOD-22828 | biostudies-arrayexpress
2013-02-05 | E-GEOD-41055 | biostudies-arrayexpress
2014-07-01 | E-GEOD-54830 | biostudies-arrayexpress
2011-03-28 | E-GEOD-26980 | biostudies-arrayexpress
2020-04-07 | GSE148229 | GEO
| PRJNA109093 | ENA