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Nagarjuna Nagaraj
Researcher at Max Planck Society
Publications - 44
Citations - 18363
Nagarjuna Nagaraj is an academic researcher from Max Planck Society. The author has contributed to research in topics: Proteome & Proteomics. The author has an hindex of 28, co-authored 42 publications receiving 14988 citations.
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Universal sample preparation method for proteome analysis
TL;DR: A method is described, filter-aided sample preparation (FASP), which combines the advantages of in-gel and in-solution digestion for mass spectrometry–based proteomics and allows single-run analyses of organelles and an unprecedented depth of proteome coverage.
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Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ
TL;DR: A new intensity determination and normalization procedure called MaxLFQ is developed that is fully compatible with any peptide or protein separation prior to LC-MS analysis, which accurately detects the mixing ratio over the entire protein expression range, with greater precision for abundant proteins.
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Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells.
TL;DR: An in-StageTip method for performing sample processing, from cell lysis through elution of purified peptides, in a single, enclosed volume, and observes excellent quantitative reproducibility between replicates.
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A Human Interactome in Three Quantitative Dimensions Organized by Stoichiometries and Abundances
Marco Y. Hein,Nina C. Hubner,Ina Poser,Juergen Cox,Nagarjuna Nagaraj,Yusuke Toyoda,Igor A. Gak,Ina Weisswange,Joerg Mansfeld,Frank Buchholz,Anthony A. Hyman,Matthias Mann +11 more
TL;DR: This study provides a rich interaction dataset connecting thousands of proteins and introduces a framework for quantitative network analysis, revealing that the protein network is dominated by weak, substoichiometric interactions that play a pivotal role in defining network topology.
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Deep proteome and transcriptome mapping of a human cancer cell line
Nagarjuna Nagaraj,Jacek R. Wisniewski,Tamar Geiger,Juergen Cox,Martin Kircher,Janet Kelso,Svante Pääbo,Matthias Mann +7 more
TL;DR: Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that deep coverage of the functional transcriptome andThe proteome of a single cell type is achieved.