BMC Genomics

official impact factor 4.21

Open Access Research article

Proteomics reveals multiple routes to the osteogenic phenotype in mesenchymal stem cells

Kristin P Bennett1*, Charles Bergeron1, Evrim Acar2, Robert F Klees3, Scott L Vandenberg4, Bülent Yener2 and George E Plopper3

Author Affiliations

1 Department of Mathematical Sciences, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA

2 Department of Computer Science, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA

3 Department of Biology, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA

4 Department of Computer Science, Siena College, 515 Loudon Road, Loudonville, NY 12211, USA

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BMC Genomics 2007, 8:380 doi:10.1186/1471-2164-8-380

Published: 19 October 2007

Additional files

Additional file 1:

The 69 GO (Gene Ontology) categories used in this study, listed alphabetically

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Additional file 2:

Directed Component Analysis Data. Gene ontologies, GeneIDs, symbols, names, and distinct protein counts for the six samples (hMSC, OS-hMSC, col-hMSC, FN-hMSC, hOST, and LN5-hMSC).

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Additional file 3:

Tensor Analysis Data. Contains outliers detected by choosing the GeneIDs outside the 95% confidence ellipse. Each GeneID is accompanied by its symbol, name, and the counts of distinct proteins found in the six samples (hMSC, OS-hMSC, col-hMSC, FN-hMSC, hOST, and LN5-hMSC).

Format: XLS Size: 19KB Download file

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Open Data