Mann, Matthias

AU Binding Proteins Recruit the Exosome to Degrade ARE-Containing mRNAs

Chen, C.-Y., Gherzi, R., Ong, S.-E., Chan, E. L., Raijmakers, R., Pruijn, G. J. M., Stoecklin, G., Moroni, C., Mann, M., & Karin, M. (2001) · Cell

RNA Research and SplicingRNA regulation and disease

Cited by 865

Mechanism of regulation of WAVE1-induced actin nucleation by Rac1 and Nck

Eden, S., Rohatgi, R., Podtelejnikov, A. V., Mann, M., & Kirschner, M. W. (2002) · Nature

Protein Kinase Regulation and GTPase SignalingCellular Mechanics and Interactions

Cited by 835

Mass spectrometry-based proteomics using Q Exactive, a high-performance benchtop quadrupole Orbitrap mass spectrometer

Michalski, A., Damoc, E., Hauschild, J.-P., Lange, O., Wieghaus, A., Makarov, A., Nagaraj, N., Cox, J., Mann, M., & Horning, S. (2011) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 832

Quantitative interaction proteomics and genome-wide profiling of epigenetic histone marks and their readers

Vermeulen, M., Eberl, H. C., Matarese, F., Marks, H., Denissov, S., Butter, F., Lee, K. K., Olsen, J. V., Hyman, A. A., Stunnenberg, H. G., et al. (2010) · Cell

Genomics and Chromatin DynamicsEpigenetics and DNA Methylation

Cited by 806

Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins

Geiger, T., Wehner, A., Schaab, C., Cox, J., & Mann, M. (2012) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 797

Cell type- and brain region-resolved mouse brain proteome

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. (2015) · Nature Neuroscience

Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics

Cited by 785

Phosphotyrosine interactome of the ErbB‐receptor kinase family

Schulze, W. X., Deng, L., & Mann, M. (2005) · Molecular Systems Biology

HER2/EGFR in Cancer ResearchAdvanced Proteomics Techniques and Applications

Cited by 753

Plasma Proteome Profiling to Assess Human Health and Disease

Geyer, P. E., Kulak, N. A., Pichler, G., Holdt, L. M., Teupser, D., & Mann, M. (2016) · Cell Systems

Advanced Proteomics Techniques and ApplicationsAdvanced Biosensing Techniques and Applications

Cited by 734

Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry

Bassani-Sternberg, M., Bräunlein, E., Klar, R., Engleitner, T., Sinitcyn, P., Audehm, S., Straub, M., Weber, J., Slotta-Huspenina, J., Specht, K., et al. (2016) · Nature Communications

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 693

A “Proteomic Ruler” for Protein Copy Number and Concentration Estimation without Spike-in Standards

Wiśniewski, J. R., Hein, M. Y., Cox, J., & Mann, M. (2014) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 690

Quantitative, High-Resolution Proteomics for Data-Driven Systems Biology

Cox, J., & Mann, M. (2011) · Annual Review of Biochemistry

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 685

More than 100,000 Detectable Peptide Species Elute in Single Shotgun Proteomics Runs but the Majority is Inaccessible to Data-Dependent LC−MS/MS

Michalski, A., Cox, J., & Mann, M. (2011) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 685

SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function

Krüger, M., Moser, M., Ussar, S., Thievessen, I., Luber, C. A., Forner, F., Schmidt, S., Zanivan, S., Fässler, R., & Mann, M. (2008) · Cell

Advanced Proteomics Techniques and ApplicationsErythrocyte Function and Pathophysiology

Cited by 680

An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics

Angelidis, I., Simon, L. M., Fernandez, I. E., Strunz, M., Mayr, C. H., Greiffo, F. R., Tsitsiridis, G., Ansari, M., Graf, E., Strom, T.-M., et al. (2019) · Nature Communications

Single-cell and spatial transcriptomicsGenetics, Aging, and Longevity in Model Organisms

Cited by 637

Nucleosome-Interacting Proteins Regulated by DNA and Histone Methylation

Bartke, T., Vermeulen, M., Xhemalce, B., Robson, S. C., Mann, M., & Kouzarides, T. (2010) · Cell

Genomics and Chromatin DynamicsEpigenetics and DNA Methylation

Cited by 611

Kinase-selective enrichment enables quantitative phosphoproteomics of the kinome across the cell cycle

Daub, H., Olsen, J. V., Bairlein, M., Gnad, F., Oppermann, F. S., Körner, R., Greff, Z., Kéri, G., Stemmann, O., & Mann, M. (2008) · Molecular Cell

Advanced Proteomics Techniques and ApplicationsProtein Kinase Regulation and GTPase Signaling

Cited by 594

Decoding Human Cytomegalovirus

Stern-Ginossar, N., Weisburd, B., Michalski, A., Le, V. T. K., Hein, M. Y., Huang, S.-X., Ma, M., Shen, B., Qian, S.-B., Hengel, H., et al. (2012) · Science

Cytomegalovirus and herpesvirus researchRNA and protein synthesis mechanisms

Cited by 589

Quantitative proteomics reveals subset-specific viral recognition in dendritic cells

Luber, C. A., Cox, J., Lauterbach, H., Fancke, B., Selbach, M., Tschopp, J., Akira, S., Wiegand, M., Hochrein, H., O'Keeffe, M., et al. (2010) · Immunity

Immunotherapy and Immune ResponsesAdvanced Proteomics Techniques and Applications

Cited by 576

Widespread Proteome Remodeling and Aggregation in Aging C. elegans

Walther, D. M., Kasturi, P., Zheng, M., Pinkert, S., Vecchi, G., Ciryam, P., Morimoto, R. I., Dobson, C. M., Vendruscolo, M., Mann, M., et al. (2015) · Cell

Genetics, Aging, and Longevity in Model OrganismsHeat shock proteins research

Cited by 569

OpenCell: Endogenous tagging for the cartography of human cellular organization

Cho, N. H., Cheveralls, K. C., Brunner, A.-D., Kim, K., Michaelis, A. C., Raghavan, P., Kobayashi, H., Savy, L., Li, J. Y., Canaj, H., et al. (2022) · Science

Bioinformatics and Genomic NetworksBiotin and Related Studies

Cited by 567

Deep Visual Proteomics defines single-cell identity and heterogeneity

Mund, A., Coscia, F., Kriston, A., Hollandi, R., Kovács, F., Brunner, A.-D., Migh, E., Schweizer, L., Santos, A., Bzorek, M., et al. (2022) · Nature Biotechnology

Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics

Cited by 562

Comparative proteomic phenotyping of cell lines and primary cells to assess preservation of cell type-specific functions

Pan, C., Kumar, C., Bohl, S., Klingmueller, U., & Mann, M. (2009) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMetabolomics and Mass Spectrometry Studies

Cited by 561

Combination of FASP and StageTip-based fractionation allows in-depth analysis of the hippocampal membrane proteome

Wiśniewski, J. R., Zougman, A., & Mann, M. (2009) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 545

Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation

Brunner, A., Thielert, M., Vasilopoulou, C., Ammar, C., Coscia, F., Mund, A., Hoerning, O. B., Bache, N., Apalategui, A., Lubeck, M., et al. (2022) · Molecular Systems Biology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 544