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 | 7341 | 2016 |
Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry M Bassani-Sternberg, E Bräunlein, R Klar, T Engleitner, P Sinitcyn, ... Nature communications 7 (1), 13404, 2016 | 692 | 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 | 282 | 2015 |
Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome N Grassl, NA Kulak, G Pichler, PE Geyer, J Jung, S Schubert, P Sinitcyn, ... Genome medicine 8, 1-13, 2016 | 233 | 2016 |
The ER membrane protein complex interacts cotranslationally to enable biogenesis of multipass membrane proteins MJ Shurtleff, DN Itzhak, JA Hussmann, NT Schirle Oakdale, EA Costa, ... Elife 7, e37018, 2018 | 213 | 2018 |
MaxDIA enables library-based and library-free data-independent acquisition proteomics P Sinitcyn, H Hamzeiy, F Salinas Soto, D Itzhak, F McCarthy, C Wichmann, ... Nature biotechnology 39 (12), 1563-1573, 2021 | 193 | 2021 |
Computational methods for understanding mass spectrometry–based shotgun proteomics data P Sinitcyn, JD Rudolph, J Cox Annual Review of Biomedical Data Science 1 (1), 207-234, 2018 | 167 | 2018 |
Global detection of human variants and isoforms by deep proteome sequencing P Sinitcyn, AL Richards, RJ Weatheritt, DR Brademan, H Marx, ... Nature biotechnology 41 (12), 1776-1786, 2023 | 116 | 2023 |
MaxQuant goes linux P Sinitcyn, S Tiwary, J Rudolph, P Gutenbrunner, C Wichmann, Ş Yılmaz, ... Nature methods 15 (6), 401-401, 2018 | 43 | 2018 |
Progress and challenges in mass spectrometry-based analysis of antibody repertoires I Snapkov, M Chernigovskaya, P Sinitcyn, K Lê Quý, TA Nyman, V Greiff Trends in biotechnology 40 (4), 463-481, 2022 | 41 | 2022 |
A novel uORF-based regulatory mechanism controls translation of the human MDM2 and eIF2D mRNAs during stress KA Akulich, PG Sinitcyn, DS Makeeva, DE Andreev, IM Terenin, ... Biochimie 157, 92-101, 2019 | 16 | 2019 |
Translatome and transcriptome analysis of TMA20 (MCT-1) and TMA64 (eIF2D) knockout yeast strains DS Makeeva, AS Lando, A Anisimova, AA Egorov, MD Logacheva, ... Data in brief 23, 103701, 2019 | 14 | 2019 |
The one hour human proteome LR Serrano, TM Peters-Clarke, TN Arrey, E Damoc, ML Robinson, ... Molecular & Cellular Proteomics 23 (5), 2024 | 11 | 2024 |
MaxQuant module for the identification of genomic variants propagated into peptides P Sinitcyn, M Gerwien, J Cox Proteomics in Systems Biology: Methods and Protocols, 339-347, 2022 | 11 | 2022 |
Deep and fast label-free Dynamic Organellar Mapping JP Schessner, V Albrecht, AK Davies, P Sinitcyn, GHH Borner Nature Communications 14 (1), 5252, 2023 | 10 | 2023 |
Fast and deep phosphoproteome analysis with the Orbitrap Astral mass spectrometer NM Lancaster, P Sinitcyn, P Forny, TM Peters-Clarke, C Fecher, AJ Smith, ... Nature Communications 15 (1), 7016, 2024 | 7* | 2024 |
Multi-targeted therapy resistance via drug-induced secretome fucosylation MBD Aldonza, J Cha, I Yong, J Ku, P Sinitcyn, D Lee, RE Cho, ... Elife 12, e75191, 2023 | 5 | 2023 |
Systematic benchmarking of mass spectrometry-based antibody sequencing reveals methodological biases M Chernigovskaya, K Le Quy, M Stensland, S Singh, R Nelson, M Yilmaz, ... bioRxiv, 2024.11. 11.622451, 2024 | | 2024 |
Deep Learning Predicts Non-Normal Peptide FAIMS Mobility Distributions Directly from Sequence J McKetney, IJ Miller, A Hutton, P Sinitcyn, JJ Coon, JG Meyer bioRxiv, 2024.09. 11.612538, 2024 | | 2024 |
An accurate large-scale human E3 ligase concentration map for next-generation TPD-based precision medicine created by MaxQuantAtlas D Ferretti, Y Shi, P Sinitcyn, S Tiwary, C Browne, S Rusin, E Kuhn, ... Molecular & Cellular Proteomics 21 (8), S55-S55, 2022 | | 2022 |