Publications of Stefka Tyanova

Journal Article (16)

Journal Article
Itzhak, D. N.; Sacco, F.; Nagaraj, N.; Tyanova, S.; Mann, M.; Murgia, M.: SILAC-based quantitative proteomics using mass spectrometry quantifies endoplasmic reticulum stress in whole HeLa cells. DISEASE MODELS & MECHANISMS 12 (11), UNSP dmm040741 (2019)
Journal Article
Overmyer, K. A.; Tyanova, S.; Hebert, A. S.; Westphall, M. S.; Cox, J.; Coon, J. J.: Multiplexed proteome analysis with neutron-encoded stable isotope labeling in cells and mice. Nature Protocols 13 (2), pp. 293 - 306 (2018)
Journal Article
Iglesias-Gato, D.; Thysell, E.; Tyanova, S.; Crnalic, S.; Santos, A.; Lima, T. S.; Geiger, T.; Cox, J.; Widmark, A.; Bergh, A. et al.; Mann, M.; Flores-Morales, A.; Wikstrom, P.: The Proteome of Prostate Cancer Bone Metastasis Reveals Heterogeneity with Prognostic Implications. Clinical Cancer Research 24 (21), pp. 5433 - 5444 (2018)
Journal Article
Itzhak, D. N.; Davies, C.; Tyanova, S.; Mishra, A.; Williamson, J.; Antrobus, R.; Cox, J.; Weekes, M. P.; Borner, G. H. H.: A Mass Spectrometry-Based Approach for Mapping Protein Subcellular Localization Reveals the Spatial Proteome of Mouse Primary Neurons. Cell Reports 20 (11), pp. 2706 - 2718 (2017)
Journal Article
Geyer, P. E.; Wewer Albrechtsen, N. J.; Tyanova, S.; Grassl, N.; Iepsen, E. W.; Lundgren, J.; Madsbad, S.; Holst, J. J.; Torekov, S. S.; Mann, M.: Proteomics reveals the effects of sustained weight loss on the human plasma proteome. Molecular Systems Biology 12 (12), 901 (2016)
Journal Article
Coscia, F.; Watters, K. M.; Curtis, M.; Eckert, M. A.; Chiang, C. Y.; Tyanova, S.; Montag, A.; Lastra, R. R.; Lengyel, E.; Mann, M.: Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status. Nature Communications 7, 12645 (2016)
Journal Article
Itzhak, D. N.; Tyanova, S.; Cox, J.; Borner, G. H. H.: Global, quantitative and dynamic mapping of protein subcellular localization. eLife 5, e16950 (2016)
Journal Article
Iglesias-Gato, D.; Wikström, P.; Tyanova, S.; Lavallee, C.; Thysell, E.; Carlsson, J.; Hägglöf, C.; Cox, J.; Andren, O.; Stattin, P. et al.; Egevad, L.; Widmark, A.; Bjartell, A.; Collins, C. C.; Bergh, A.; Geiger, T.; Mann, M.; Flores-Morales, A.: The Proteome of Primary Prostate Cancer. EUROPEAN UROLOGY 69 (5), pp. 942 - 952 (2016)
Journal Article
Tyanova, S.; Albrechtsen, R.; Kronqvist, P.; Cox, J.; Mann, M.; Geiger, T.: Proteomic maps of breast cancer subtypes. NATURE COMMUNICATIONS 7, 10259 (2016)
Journal Article
Tyanova, S.; Temu, T.; Cox, J.: The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nature Protocols 11 (12), pp. 2301 - 2319 (2016)
Journal Article
Tyanova, S.; Temu, T.; Sinitcyn, P.; Carlson, A.; Hein, M. Y.; Geiger, T.; Mann, M.; Cox, J.: The Perseus computational platform for comprehensive analysis of (prote)omics data. Nature methods 13 (9), pp. 731 - 740 (2016)
Journal Article
Deeb, S. J.; Tyanova, S.; Hummel, M.; Schmidt-Supprian, M.; Cox, J.; Mann, M.: Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles. MOLECULAR & CELLULAR PROTEOMICS 14 (11), pp. 2947 - 2960 (2015)
Journal Article
Sharma, K.; Schmitt, S.; Bergner, C. G.; Tyanova, S.; Kannaiyan, N.; Manrique-Hoyos, N.; Kongi, K.; Cantuti, L.; Hanisch, U.-K.; Philips, M.-A. et al.; Rossner, M. J.; Mann, M.; Simons, M.: Cell type- and brain region-resolved mouse brain proteome. NATURE NEUROSCIENCE 18 (12), pp. 1819 - 1831 (2015)
Journal Article
Tyanova, S.; Temu, T.; Carlson, A.; Sinitcyn, P.; Mann, M.; Cox, J.: Visualization of LC-MS/MS proteomics data in MaxQuant. PROTEOMICS 15 (8), pp. 1453 - 1456 (2015)
Journal Article
Sharma, K.; D'Souza, R. C. J.; Tyanova, S.; Schaab, C.; Wisniewski, J. R.; Cox, J.; Mann, M.: Ultradeep Human Phosphoproteome Reveals a Distinct Regulatory Nature of Tyr and Ser/Thr-Based Signaling. CELL REPORTS 8 (5), pp. 1583 - 1594 (2014)
Journal Article
Tyanova, S.; Cox, J.; Olsen, J.; Mann, M.; Frishman, D.: Phosphorylation Variation during the Cell Cycle Scales with Structural Propensities of Proteins. PLOS COMPUTATIONAL BIOLOGY 9 (1), e1002842 (2013)

Book Chapter (2)

Book Chapter
Tyanova, S.; Cox, J.: Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research. In: Cancer Systems Biology, pp. 133 - 148 (Ed. von Stechow, L.). Humana Press, New York, NY (2018)
Book Chapter
Tyanova, S.; Mann, M.; Cox, J.: MaxQuant for In-Depth Analysis of Large SILAC Datasets. In: Methods in Molecular Biology; Vol. 1188, pp. 351 - 364. HUMANA PRESS INC, 999 RIVERVIEW DR, STE 208, TOTOWA, NJ 07512-1165 USA (2014)

Meeting Abstract (1)

Meeting Abstract
Mann, M.; Cosica, F.; Kulak, N.; Pichler, G.; Tyanova, S.; Shaman, K.; Wisniewski, J.; Cox, J.: Recent developments in the technology of mass spectrometry-based clinical proteomics. In EUROPEAN JOURNAL OF CANCER, 50 (Suppl. 5), 37, p. S10 - S10. ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND (2014)

Thesis - PhD (1)

Thesis - PhD
Tyanova, S.: Computational methods and tools for functional analysis and mining of high-throughput proteomics data. Dissertation, Technische Universität, München (2013)
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