Katajamaa M - Search Results

1

Quantitative proteomics reveals GIMAP family proteins 1 and 4 to be differentially regulated during human T helper cell differentiation.

Filén JJ, Filén S, Moulder R, Tuomela S, Ahlfors H, West A, Kouvonen P, Kantola S, Björkman M, Katajamaa M, Rasool O, Nyman TA, Lahesmaa R. Filén JJ, et al. Among authors: katajamaa m. Mol Cell Proteomics. 2009 Jan;8(1):32-44. doi: 10.1074/mcp.M800139-MCP200. Epub 2008 Aug 12. Mol Cell Proteomics. 2009. PMID: 18701445 Free PMC article.

2

A comparative evaluation of software for the analysis of liquid chromatography-tandem mass spectrometry data from isotope coded affinity tag experiments.

Moulder R, Filén JJ, Salmi J, Katajamaa M, Nevalainen OS, Oresic M, Aittokallio T, Lahesmaa R, Nyman TA. Moulder R, et al. Among authors: katajamaa m. Proteomics. 2005 Jul;5(11):2748-60. doi: 10.1002/pmic.200401187. Proteomics. 2005. PMID: 15952233

3

Improving identification of differentially expressed genes by integrative analysis of Affymetrix and Illumina arrays.

Elo LL, Katajamaa M, Lund R, Oresic M, Lahesmaa R, Aittokallio T. Elo LL, et al. Among authors: katajamaa m. OMICS. 2006 Fall;10(3):369-80. doi: 10.1089/omi.2006.10.369. OMICS. 2006. PMID: 17069514

4

A human ImmunoChip cDNA microarray provides a comprehensive tool to study immune responses.

Nikula T, West A, Katajamaa M, Lönnberg T, Sara R, Aittokallio T, Nevalainen OS, Lahesmaa R. Nikula T, et al. Among authors: katajamaa m. J Immunol Methods. 2005 Aug;303(1-2):122-34. doi: 10.1016/j.jim.2005.06.004. J Immunol Methods. 2005. PMID: 16054160

5

DNA microarray-based gene expression profiles of cytomegalovirus infection and acute rejection in liver transplants.

Inkinen K, Lahesmaa R, Brandt A, Katajamaa M, Halme L, Höckerstedt K, Lautenschlager I. Inkinen K, et al. Among authors: katajamaa m. Transplant Proc. 2005 Mar;37(2):1227-9. doi: 10.1016/j.transproceed.2004.12.015. Transplant Proc. 2005. PMID: 15848677

6

Dysregulation of lipid and amino acid metabolism precedes islet autoimmunity in children who later progress to type 1 diabetes.

Oresic M, Simell S, Sysi-Aho M, Näntö-Salonen K, Seppänen-Laakso T, Parikka V, Katajamaa M, Hekkala A, Mattila I, Keskinen P, Yetukuri L, Reinikainen A, Lähde J, Suortti T, Hakalax J, Simell T, Hyöty H, Veijola R, Ilonen J, Lahesmaa R, Knip M, Simell O. Oresic M, et al. Among authors: katajamaa m. J Exp Med. 2008 Dec 22;205(13):2975-84. doi: 10.1084/jem.20081800. Epub 2008 Dec 15. J Exp Med. 2008. PMID: 19075291 Free PMC article.

7

Data processing for mass spectrometry-based metabolomics.

Katajamaa M, Oresic M. Katajamaa M, et al. J Chromatogr A. 2007 Jul 27;1158(1-2):318-28. doi: 10.1016/j.chroma.2007.04.021. Epub 2007 Apr 19. J Chromatogr A. 2007. PMID: 17466315 Review.

8

MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data.

Katajamaa M, Miettinen J, Oresic M. Katajamaa M, et al. Bioinformatics. 2006 Mar 1;22(5):634-6. doi: 10.1093/bioinformatics/btk039. Epub 2006 Jan 10. Bioinformatics. 2006. PMID: 16403790

9

Processing methods for differential analysis of LC/MS profile data.

Katajamaa M, Oresic M. Katajamaa M, et al. BMC Bioinformatics. 2005 Jul 18;6:179. doi: 10.1186/1471-2105-6-179. BMC Bioinformatics. 2005. PMID: 16026613 Free PMC article.

10

Normalization method for metabolomics data using optimal selection of multiple internal standards.

Sysi-Aho M, Katajamaa M, Yetukuri L, Oresic M. Sysi-Aho M, et al. Among authors: katajamaa m. BMC Bioinformatics. 2007 Mar 15;8:93. doi: 10.1186/1471-2105-8-93. BMC Bioinformatics. 2007. PMID: 17362505 Free PMC article.

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