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Open Access Research article

Proteomic analysis of endothelial cold-adaptation

Michael AJ Zieger12*, Mahesh P Gupta1 and Mu Wang3

Author Affiliations

1 Methodist Research Institute, Indiana University Health, Indianapolis, IN 46202, USA

2 Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA

3 Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA

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BMC Genomics 2011, 12:630  doi:10.1186/1471-2164-12-630

Published: 22 December 2011

Additional files

Additional file 1:

Summary of identified proteins. Each protein is listed with its Rank, significant change between control and cold-adapted cells (Signif; Yes or No), Priority, Protein_ID, Protein Name, fold-change (Fold; positive represents an increase in cold-adapted cells; negative represents a decrease), % ID confidence of the best sequence (%ID), qValue (comparing control to hypothermia-treated), mean of control (mean_C; n = 5), mean of cold-adapted (mean_H; n = 5), % Coefficient of Variation (%CV; standard deviation/mean), number of peptides quantified (Peptide#) and peptide sequence with highest ID confidence (Best_Sequence). A detailed description of the parameters are in [24].

Format: XLS Size: 335KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 2:

Summary of biological process, molecular function and cell component categories that changed significantly with cold-adaptation. Each GOTERM or SP_PIR_KEYWORD is listed with the protein count, percentage of the total (178 proteins), P-value, gene identifiers, number of genes in the category, total number of genes and fold-enrichment.

Format: XLS Size: 91KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data