Bijlsma S - Search Results

1

A combination of proteomics, principal component analysis and transcriptomics is a powerful tool for the identification of biomarkers for macrophage maturation in the U937 cell line.

Verhoeckx KC, Bijlsma S, de Groene EM, Witkamp RF, van der Greef J, Rodenburg RJ. Verhoeckx KC, et al. Among authors: bijlsma s. Proteomics. 2004 Apr;4(4):1014-28. doi: 10.1002/pmic.200300669. Proteomics. 2004. PMID: 15048983

2

Characterization of anti-inflammatory compounds using transcriptomics, proteomics, and metabolomics in combination with multivariate data analysis.

Verhoeckx KC, Bijlsma S, Jespersen S, Ramaker R, Verheij ER, Witkamp RF, van der Greef J, Rodenburg RJ. Verhoeckx KC, et al. Among authors: bijlsma s. Int Immunopharmacol. 2004 Nov;4(12):1499-514. doi: 10.1016/j.intimp.2004.07.008. Int Immunopharmacol. 2004. PMID: 15351319

3

In search of secreted protein biomarkers for the anti-inflammatory effect of beta2-adrenergic receptor agonists: application of DIGE technology in combination with multivariate and univariate data analysis tools.

Verhoeckx KC, Gaspari M, Bijlsma S, van der Greef J, Witkamp RF, Doornbos RP, Rodenburg RJ. Verhoeckx KC, et al. Among authors: bijlsma s. J Proteome Res. 2005 Nov-Dec;4(6):2015-23. doi: 10.1021/pr050183u. J Proteome Res. 2005. PMID: 16335946

4

Time-dependent effect of in vivo inflammation on eicosanoid and endocannabinoid levels in plasma, liver, ileum and adipose tissue in C57BL/6 mice fed a fish-oil diet.

Balvers MG, Verhoeckx KC, Meijerink J, Bijlsma S, Rubingh CM, Wortelboer HM, Witkamp RF. Balvers MG, et al. Among authors: bijlsma s. Int Immunopharmacol. 2012 Jun;13(2):204-14. doi: 10.1016/j.intimp.2012.03.022. Epub 2012 Apr 9. Int Immunopharmacol. 2012. PMID: 22498761

5

Fish oil and inflammatory status alter the n-3 to n-6 balance of the endocannabinoid and oxylipin metabolomes in mouse plasma and tissues.

Balvers MG, Verhoeckx KC, Bijlsma S, Rubingh CM, Meijerink J, Wortelboer HM, Witkamp RF. Balvers MG, et al. Among authors: bijlsma s. Metabolomics. 2012 Dec;8(6):1130-1147. doi: 10.1007/s11306-012-0421-9. Epub 2012 Apr 11. Metabolomics. 2012. PMID: 23136559 Free PMC article.

6

Fusion of mass spectrometry-based metabolomics data.

Smilde AK, van der Werf MJ, Bijlsma S, van der Werff-van der Vat BJ, Jellema RH. Smilde AK, et al. Among authors: bijlsma s. Anal Chem. 2005 Oct 15;77(20):6729-36. doi: 10.1021/ac051080y. Anal Chem. 2005. PMID: 16223263

7

Dynamic metabolomic data analysis: a tutorial review.

Smilde AK, Westerhuis JA, Hoefsloot HC, Bijlsma S, Rubingh CM, Vis DJ, Jellema RH, Pijl H, Roelfsema F, van der Greef J. Smilde AK, et al. Among authors: bijlsma s. Metabolomics. 2010 Mar;6(1):3-17. doi: 10.1007/s11306-009-0191-1. Epub 2009 Dec 4. Metabolomics. 2010. PMID: 20339444 Free PMC article.

8

Large-scale human metabolomics studies: a strategy for data (pre-) processing and validation.

Bijlsma S, Bobeldijk I, Verheij ER, Ramaker R, Kochhar S, Macdonald IA, van Ommen B, Smilde AK. Bijlsma S, et al. Anal Chem. 2006 Jan 15;78(2):567-74. doi: 10.1021/ac051495j. Anal Chem. 2006. PMID: 16408941

9

Analyzing longitudinal microbial metabolomics data.

Rubingh CM, Bijlsma S, Jellema RH, Overkamp KM, van der Werf MJ, Smilde AK. Rubingh CM, et al. Among authors: bijlsma s. J Proteome Res. 2009 Sep;8(9):4319-27. doi: 10.1021/pr900126e. J Proteome Res. 2009. PMID: 19624157

10

Metabolomics as a tool for target identification in strain improvement: the influence of phenotype definition.

Braaksma M, Bijlsma S, Coulier L, Punt PJ, van der Werf MJ. Braaksma M, et al. Among authors: bijlsma s. Microbiology (Reading). 2011 Jan;157(Pt 1):147-159. doi: 10.1099/mic.0.041244-0. Epub 2010 Sep 16. Microbiology (Reading). 2011. PMID: 20847006 Free article.

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