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

doi:10.1186/1471-2164-8-380

BMC Genomics

Volume 8

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Bennett KP
Bergeron C
Acar E
Klees RF
Vandenberg SL
Yener B
Plopper GE

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Bergeron C
Acar E
Klees RF
Vandenberg SL
Yener B
Plopper GE
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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

¹Department of Mathematical Sciences, Rensselaer Polytechnic Institute, 110 8^thStreet, Troy, NY 12180, USA

²Department of Computer Science, Rensselaer Polytechnic Institute, 110 8^thStreet, Troy, NY 12180, USA

³Department of Biology, Rensselaer Polytechnic Institute, 110 8^thStreet, Troy, NY 12180, USA

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

author email corresponding author email

BMC Genomics 2007, 8:380doi: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).

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