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Results: 29
Number of items: 29
  • Open Access
    Vuorijoki, L., Isojärvi, J., Kallio, P., Kouvonen, P., Aro, E. M., Corthals, G. L., Jones, P. R., & Muth-Pawlak, D. (2016). Development of a quantitative SRM-based proteomics method to study iron metabolism of Synechocystis sp PCC 6803. Journal of Proteome Research, 15(1), 266-279. https://doi.org/10.1021/acs.jproteome.5b00800
  • Open Access
    Kolmeder, C. A., Salojarvi, J., Ritari, J., de Been, M., Raes, J., Falony, G., Vieira-Silva, S., Kekkonen, R. A., Corthals, G. L., Palva, A., Salonen, A., & de Vos, W. M. (2016). Faecal Metaproteomic Analysis Reveals a Personalized and Stable Functional Microbiome and Limited Effects of a Probiotic Intervention in Adults. PLoS ONE, 11(4), Article e0153294. https://doi.org/10.1371/journal.pone.0153294
  • Open Access
    Söderholm, S., Kainov, D. E., Öhman, T., Denisova, O. V., Schepens, B., Kulesskiy, E., Imanishi, S. Y., Corthals, G., Hintsanen, P., Aittokallio, T., Saelens, X., Matikainen, S., & Nyman, T. A. (2016). Phosphoproteomics to Characterize Host Response During Influenza A Virus Infection of Human Macrophages. Molecular & Cellular Proteomics, 15(10), 3203-3219. https://doi.org/10.1074/mcp.M116.057984
  • Open Access
    Suni, V., Imanishi, S. Y., Maiolica, A., Aebersold, R., & Corthals, G. L. (2015). Confident Site Localization Using a Simulated Phosphopeptide Spectral Library. Journal of Proteome Research, 14(5), 2348-2359. https://doi.org/10.1021/acs.jproteome.5b00050
  • Open Access
    Kauko, O., Laajala, T. D., Jumppanen, M., Hintsanen, P., Suni, V., Haapaniemi, P., Corthals, G., Aittokallio, T., Westermarck, J., & Imanishi, S. Y. (2015). Label-free quantitative phosphoproteomics with novel pairwise abundance normalization reveals synergistic RAS and CIP2A signaling. Scientific Reports, 5, Article 13099. https://doi.org/10.1038/srep13099
  • Open Access
    Pursiheimo, A., Vehmas, A. P., Afzal, S., Suomi, T., Chand, T., Strauss, L., Poutanen, M., Rokka, A., Corthals, G. L., & Elo, L. L. (2015). Optimization of statistical methods impact on quantitative proteomics data. Journal of Proteome Research, 14(10), 4118-4126. https://doi.org/10.1021/acs.jproteome.5b00183
  • Open Access
    Suomi, T., Corthals, G. L., Nevalainen, O. S., & Elo, L. L. (2015). Using peptide-level proteomics data for detecting differentially expressed proteins. Journal of Proteome Research, 14(11), 4564-4570. https://doi.org/10.1021/acs.jproteome.5b00363
  • Open Access
    McDonnell, L. A., Römpp, A., Balluff, B., Heeren, R. M. A., Albar, J. P., Andrén, P. E., Corthals, G. L., Walch, A., & Stoeckli, M. (2015). Discussion point: reporting guidelines for mass spectrometry imaging. Analytical and Bioanalytical Chemistry, 407(8), 2035-2045. https://doi.org/10.1007/s00216-014-8322-6
  • Kannaste, O., Suomi, T., Salmi, J., Uusipaikka, E., Nevalainen, O., & Corthals, G. L. (2014). Cross-Correlation of Spectral Count Ranking to Validate Quantitative Proteome Measurements. Journal of Proteome Research, 13(4), 1957-1968. https://doi.org/10.1021/pr401096z
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