Vadim Demichev
Cited by
Cited by
DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput
V Demichev, CB Messner, SI Vernardis, KS Lilley, M Ralser
Nature methods 17 (1), 41-44, 2020
Ultra-high-throughput clinical proteomics reveals classifiers of COVID-19 infection
CB Messner, V Demichev, D Wendisch, L Michalick, M White, A Freiwald, ...
Cell systems 11 (1), 11-24. e4, 2020
Ultra-fast proteomics with Scanning SWATH
CB Messner, V Demichev, N Bloomfield, JSL Yu, M White, M Kreidl, ...
Nature biotechnology 39 (7), 846-854, 2021
Complement activation induces excessive T cell cytotoxicity in severe COVID-19
P Georg, R Astaburuaga-García, L Bonaguro, S Brumhard, L Michalick, ...
Cell 185 (3), 493-512. e25, 2022
A time-resolved proteomic and prognostic map of COVID-19
V Demichev, P Tober-Lau, O Lemke, T Nazarenko, C Thibeault, ...
Cell systems 12 (8), 780-794. e7, 2021
dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts
V Demichev, L Szyrwiel, F Yu, GC Teo, G Rosenberger, A Niewienda, ...
Nature communications 13 (1), 3944, 2022
Machine learning predicts the yeast metabolome from the quantitative proteome of kinase knockouts
A Zelezniak, J Vowinckel, F Capuano, CB Messner, V Demichev, ...
Cell systems 7 (3), 269-283. e6, 2018
Increasing the throughput of sensitive proteomics by plexDIA
J Derks, A Leduc, G Wallmann, RG Huffman, M Willetts, S Khan, H Specht, ...
Nature biotechnology 41 (1), 50-59, 2023
Time-resolved in vivo ubiquitinome profiling by DIA-MS reveals USP7 targets on a proteome-wide scale
M Steger, V Demichev, M Backman, U Ohmayer, P Ihmor, S Müller, ...
Nature communications 12 (1), 5399, 2021
A serum proteome signature to predict mortality in severe COVID-19 patients
F Völlmy, H Van Den Toorn, RZ Chiozzi, O Zucchetti, A Papi, CA Volta, ...
Life Science Alliance 4 (9), 2021
Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments
L Gatto, R Aebersold, J Cox, V Demichev, J Derks, E Emmott, AM Franks, ...
Nature methods 20 (3), 375-386, 2023
Microbial communities form rich extracellular metabolomes that foster metabolic interactions and promote drug tolerance
JSL Yu, C Correia-Melo, F Zorrilla, L Herrera-Dominguez, MY Wu, J Hartl, ...
Nature microbiology 7 (4), 542-555, 2022
A proteomic survival predictor for COVID-19 patients in intensive care
V Demichev, P Tober-Lau, T Nazarenko, O Lemke, S Kaur Aulakh, ...
PLOS Digital Health 1 (1), e0000007, 2022
High sensitivity dia-PASEF proteomics with DIA-NN and FragPipe
V Demichev, F Yu, GC Teo, L Szyrwiel, GA Rosenberger, J Decker, ...
Biorxiv, 2021.03. 08.434385, 2021
Mass spectrometry‐based high‐throughput proteomics and its role in biomedical studies and systems biology
CB Messner, V Demichev, Z Wang, J Hartl, G Kustatscher, M Mülleder, ...
Proteomics 23 (7-8), 2200013, 2023
High-throughput proteomics of nanogram-scale samples with Zeno SWATH MS
Z Wang, M Mülleder, I Batruch, A Chelur, K Textoris-Taube, T Schwecke, ...
Elife 11, e83947, 2022
Clinical classifiers of COVID-19 infection from novel ultra-high-throughput proteomics
CB Messner, V Demichev, D Wendisch, L Michalick, M White, A Freiwald, ...
MedRxiv, 2020.04. 27.20081810, 2020
The natural diversity of the yeast proteome reveals chromosome-wide dosage compensation in aneuploids
J Muenzner, P Trebulle, F Agostini, CB Messner, M Steger, A Lehmann, ...
bioRxiv, 2022.04. 06.487392, 2022
Microbe capture by splenic macrophages triggers sepsis via T cell-death-dependent neutrophil lifespan shortening
M Ioannou, D Hoving, IV Aramburu, MI Temkin, NM De Vasconcelos, ...
Nature Communications 13 (1), 4658, 2022
A time-resolved proteomic and diagnostic map characterizes COVID-19 disease progression and predicts outcome
V Demichev, P Tober-Lau, T Nazarenko, C Thibeault, H Whitwell, ...
MedRxiv, 2020.11. 09.20228015, 2020
The system can't perform the operation now. Try again later.
Articles 1–20