Isabell Bludau
Isabell Bludau
MPI of Biochemistry
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Zitiert von
Zitiert von
Multi-omic measurements of heterogeneity in HeLa cells across laboratories
Y Liu, Y Mi, T Mueller, S Kreibich, EG Williams, A Van Drogen, C Borel, ...
Nature biotechnology 37 (3), 314-322, 2019
Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses
G Rosenberger, I Bludau, U Schmitt, M Heusel, CL Hunter, Y Liu, ...
Nature methods 14 (9), 921-927, 2017
diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition
F Meier, AD Brunner, M Frank, A Ha, I Bludau, E Voytik, ...
Nature methods 17 (12), 1229-1236, 2020
Proteomic and interactomic insights into the molecular basis of cell functional diversity
I Bludau, R Aebersold
Nature Reviews Molecular Cell Biology 21 (6), 327-340, 2020
Complex‐centric proteome profiling by SEC‐SWATH‐MS
M Heusel, I Bludau, G Rosenberger, R Hafen, M Frank, ...
Molecular systems biology 15 (1), e8438, 2019
Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology
FM Hansen, MC Tanzer, F Brüning, I Bludau, C Stafford, BA Schulman, ...
Nature communications 12 (1), 1-13, 2021
A global screen for assembly state changes of the mitotic proteome by SEC-SWATH-MS
M Heusel, M Frank, M Köhler, S Amon, F Frommelt, G Rosenberger, ...
Cell systems 10 (2), 133-155. e6, 2020
ACEseq–allele specific copy number estimation from whole genome sequencing
K Kleinheinz, I Bludau, D Hübschmann, M Heinold, P Kensche, Z Gu, ...
BioRXiv, 210807, 2017
Parallel accumulation–serial fragmentation combined with data-independent acquisition (diaPASEF): Bottom-up proteomics with near optimal ion usage
F Meier, AD Brunner, M Frank, A Ha, I Bludau, E Voytik, ...
BioRxiv, 656207, 2020
Systematic detection of functional proteoform groups from bottom-up proteomic datasets
I Bludau, M Frank, C Dörig, Y Cai, M Heusel, G Rosenberger, P Picotti, ...
Nature communications 12 (1), 1-18, 2021
Integrative proteomics reveals principles of dynamic phosphosignaling networks in human erythropoiesis
Ö Karayel, P Xu, I Bludau, S Velan Bhoopalan, Y Yao, FC Ana Rita, ...
Molecular systems biology 16 (12), e9813, 2020
Complex-centric proteome profiling by SEC-SWATH-MS for the parallel detection of hundreds of protein complexes
I Bludau, M Heusel, M Frank, G Rosenberger, R Hafen, ...
Nature Protocols 15 (8), 2341-2386, 2020
SECAT: quantifying protein complex dynamics across cell states by network-centric analysis of SEC-SWATH-MS profiles
G Rosenberger, M Heusel, I Bludau, BC Collins, C Martelli, EG Williams, ...
Cell systems 11 (6), 589-607. e8, 2020
PCprophet: a framework for protein complex prediction and differential analysis using proteomic data
A Fossati, C Li, F Uliana, F Wendt, F Frommelt, P Sykacek, M Heusel, ...
Nature methods 18 (5), 520-527, 2021
AlphaPept, a modern and open framework for MS-based proteomics
MT Strauss, I Bludau, WF Zeng, E Voytik, C Ammar, J Schessner, R Ilango, ...
bioRxiv, 2021
Rö st
G Rosenberger, I Bludau, U Schmitt, M Heusel, CL Hunter, Y Liu, ...
HL, Tate, S., Ting, YS, Collins, BC, and Aebersold, 921-927, 2017
Phosphoproteome profiling uncovers a key role for CDKs in TNF signaling
MC Tanzer, I Bludau, CA Stafford, V Hornung, M Mann
Nature Communications 12 (1), 1-15, 2021
Genomic, proteomic and phenotypic heterogeneity in HeLa cells across laboratories: implications for reproducibility of research results
Y Liu, Y Mi, T Mueller, S Kreibich, EG Williams, A Van Drogen, C Borel, ...
bioRxiv, 307421, 2018
The structural context of posttranslational modifications at a proteome-wide scale
I Bludau, S Willems, WF Zeng, MT Strauss, FM Hansen, MC Tanzer, ...
PLoS Biology 20 (5), e3001636, 2022
Integration of transcriptome, proteome and phosphoproteome data elucidates the genetic control of molecular networks
J Großbach, L Gillet, M Clément-Ziza, CL Schmalohr, OT Schubert, ...
bioRxiv, 703140, 2019
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