C
Chen Meng
Researcher at Technische Universität München
Publications - 55
Citations - 3005
Chen Meng is an academic researcher from Technische Universität München. The author has contributed to research in topics: Proteomics & Proteome. The author has an hindex of 16, co-authored 51 publications receiving 1911 citations. Previous affiliations of Chen Meng include Royal Institute of Technology.
Papers
More filters
Journal ArticleDOI
The target landscape of clinical kinase drugs
Susan Klaeger,Susan Klaeger,Stephanie Heinzlmeir,Stephanie Heinzlmeir,Mathias Wilhelm,Harald Polzer,Harald Polzer,Binje Vick,Paul-Albert Koenig,Maria Reinecke,Maria Reinecke,Benjamin Ruprecht,Svenja Petzoldt,Svenja Petzoldt,Chen Meng,Jana Zecha,Jana Zecha,Katrin Reiter,Katrin Reiter,Huichao Qiao,Dominic Helm,Heiner Koch,Heiner Koch,Melanie Schoof,G. Canevari,Elena Casale,Stefania Re Depaolini,Annette Feuchtinger,Zhixiang Wu,Tobias Schmidt,Lars Rueckert,Wilhelm Becker,Jan Huenges,Anne-Kathrin Garz,Bjoern-Oliver Gohlke,Bjoern-Oliver Gohlke,Daniel P Zolg,Gian Kayser,Tõnu Vooder,Tõnu Vooder,Robert Preissner,Robert Preissner,Hannes Hahne,Neeme Tõnisson,Neeme Tõnisson,Karl Kramer,Katharina Götze,Florian Bassermann,Judith Schlegl,Hans-Christian Ehrlich,Stephan Aiche,Axel Walch,Philipp A. Greif,Philipp A. Greif,Sabine Schneider,Eduard R. Felder,Juergen Ruland,Guillaume Médard,Irmela Jeremias,Karsten Spiekermann,Karsten Spiekermann,Bernhard Kuster +61 more
TL;DR: A comprehensive analysis of 243 kinase inhibitors that are either approved for use or in clinical trials provides an open-access resource of target summaries that could help researchers develop better drugs, understand how existing drugs work, and design more effective clinical trials.
Journal ArticleDOI
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
Dongxue Wang,Basak Eraslan,Basak Eraslan,Thomas Wieland,Björn M. Hallström,Thomas A. Hopf,Daniel P Zolg,Jana Zecha,Anna Asplund,Li-hua Li,Chen Meng,Martin Frejno,Tobias Schmidt,Karsten Schnatbaum,Mathias Wilhelm,Fredrik Pontén,Mathias Uhlén,Julien Gagneur,Hannes Hahne,Bernhard Kuster,Bernhard Kuster +20 more
TL;DR: A quantitative proteome and transcriptome abundance atlas of 29 paired healthy human tissues from the Human Protein Atlas project revealed that hundreds of proteins, particularly in testis, could not be detected even for highly expressed mRNAs and that protein expression is often more stable across tissues than that of transcripts.
Journal ArticleDOI
Global Proteome Analysis of the NCI-60 Cell Line Panel
Amin Moghaddas Gholami,Hannes Hahne,Zhixiang Wu,Florian Auer,Chen Meng,Mathias Wilhelm,Bernhard Kuster,Bernhard Kuster,Bernhard Kuster +8 more
TL;DR: A quantitative proteome and kinome profile of the NCI-60 panel covering, in total, 10,350 proteins (including 375 protein kinases) and including a core cancer proteome of 5,578 proteins that were consistently quantified across all tissue types is presented.
Journal ArticleDOI
Dimension reduction techniques for the integrative analysis of multi-omics data
Chen Meng,Oana A. Zeleznik,Gerhard G. Thallinger,Bernhard Kuster,Amin Moghaddas Gholami,Aedín C. Culhane +5 more
TL;DR: This work explores dimension reduction techniques as one of the emerging approaches for data integration, and how these can be applied to increase the understanding of biological systems in normal physiological function and disease.
Journal ArticleDOI
A multivariate approach to the integration of multi-omics datasets
TL;DR: Multiple co-inertia analysis (MCIA), an exploratory data analysis method that identifies co-relationships between multiple high dimensional datasets, is described, an attractive method for data integration and visualization of several datasets of multi-omics features observed on the same set of individuals.