Stefka Tyanova
Stefka Tyanova
F. Hoffmann-La Roche
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Cited by
Cited by
The Perseus computational platform for comprehensive analysis of (prote) omics data
S Tyanova, T Temu, P Sinitcyn, A Carlson, MY Hein, T Geiger, M Mann, ...
Nature methods 13 (9), 731-740, 2016
The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
S Tyanova, T Temu, J Cox
Nature protocols 11 (12), 2301, 2016
Ultradeep human phosphoproteome reveals a distinct regulatory nature of Tyr and Ser/Thr-based signaling
K Sharma, RCJ D’Souza, S Tyanova, C Schaab, JR Wiśniewski, J Cox, ...
Cell reports 8 (5), 1583-1594, 2014
Cell type–and brain region–resolved mouse brain proteome
K Sharma, S Schmitt, CG Bergner, S Tyanova, N Kannaiyan, ...
Nature neuroscience 18 (12), 1819-1831, 2015
Global, quantitative and dynamic mapping of protein subcellular localization
DN Itzhak, S Tyanova, J Cox, GHH Borner
Elife 5, e16950, 2016
Proteomic maps of breast cancer subtypes
S Tyanova, R Albrechtsen, P Kronqvist, J Cox, M Mann, T Geiger
Nature communications 7 (1), 1-11, 2016
Visualization of LC‐MS/MS proteomics data in MaxQuant
S Tyanova, T Temu, A Carlson, P Sinitcyn, M Mann, J Cox
Proteomics 15 (8), 1453-1456, 2015
Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
F Coscia, KM Watters, M Curtis, MA Eckert, CY Chiang, S Tyanova, ...
Nature communications 7 (1), 1-14, 2016
Proteomics reveals the effects of sustained weight loss on the human plasma proteome
PE Geyer, NJ Wewer Albrechtsen, S Tyanova, N Grassl, EW Iepsen, ...
Molecular systems biology 12 (12), 901, 2016
Perseus: a bioinformatics platform for integrative analysis of proteomics data in cancer research
S Tyanova, J Cox
Cancer systems biology, 133-148, 2018
The proteome of primary prostate cancer
D Iglesias-Gato, P Wikström, S Tyanova, C Lavallee, E Thysell, J Carlsson, ...
European urology 69 (5), 942-952, 2016
MaxQuant for in-depth analysis of large SILAC datasets
S Tyanova, M Mann, J Cox
Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC), 351-364, 2014
Machine learning-based classification of diffuse large B-cell lymphoma patients by their protein expression profiles
SJ Deeb, S Tyanova, M Hummel, M Schmidt-Supprian, J Cox, M Mann
Molecular & Cellular Proteomics 14 (11), 2947-2960, 2015
Phosphorylation variation during the cell cycle scales with structural propensities of proteins
S Tyanova, J Cox, J Olsen, M Mann, D Frishman
PLoS Comput Biol 9 (1), e1002842, 2013
A mass spectrometry-based approach for mapping protein subcellular localization reveals the spatial proteome of mouse primary neurons
DN Itzhak, C Davies, S Tyanova, A Mishra, J Williamson, R Antrobus, ...
Cell reports 20 (11), 2706-2718, 2017
The proteome of prostate cancer bone metastasis reveals heterogeneity with prognostic implications
D Iglesias-Gato, E Thysell, S Tyanova, S Crnalic, A Santos, TS Lima, ...
Clinical Cancer Research 24 (21), 5433-5444, 2018
Multiplexed proteome analysis with neutron-encoded stable isotope labeling in cells and mice
KA Overmyer, S Tyanova, AS Hebert, MS Westphall, J Cox, JJ Coon
Nature protocols 13 (2), 293-306, 2018
Asymmetric Transition and Time-Scale Separation in Interlinked Positive Feedback Loops
P Yordanov, S Tyanova, MT Huett, A Lesne
International Journal of Bifurcation and Chaos 21 (07), 1895-1905, 2011
SILAC-based quantitative proteomics using mass spectrometry quantifies endoplasmic reticulum stress in whole HeLa cells
DN Itzhak, F Sacco, N Nagaraj, S Tyanova, M Mann, M Murgia
Disease models & mechanisms 12 (11), 2019
Dynamic Organellar Maps, a Tool to Study Proteome-Wide Subcellular Localization Changes
D Itzhak, S Tyanova, J Cox, M Mann, G Borner
The FASEB Journal 30 (1_supplement), 819.3-819.3, 2016
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