Nagarjuna Nagaraj
Nagarjuna Nagaraj
Verified email at
Cited by
Cited by
Universal sample preparation method for proteome analysis
JR Wiśniewski, A Zougman, N Nagaraj, M Mann
Nature methods 6 (5), 359-362, 2009
Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ
J Cox, MY Hein, CA Luber, I Paron, N Nagaraj, M Mann
Molecular & cellular proteomics 13 (9), 2513-2526, 2014
Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells
NA Kulak, G Pichler, I Paron, N Nagaraj, M Mann
Nature methods 11 (3), 319-324, 2014
A human interactome in three quantitative dimensions organized by stoichiometries and abundances
MY Hein, NC Hubner, I Poser, J Cox, N Nagaraj, Y Toyoda, IA Gak, ...
Cell 163 (3), 712-723, 2015
Deep proteome and transcriptome mapping of a human cancer cell line
N Nagaraj, JR Wisniewski, T Geiger, J Cox, M Kircher, J Kelso, S Pääbo, ...
Molecular systems biology 7 (1), 548, 2011
Mass spectrometry-based proteomics using Q Exactive, a high-performance benchtop quadrupole Orbitrap mass spectrometer
A Michalski, E Damoc, JP Hauschild, O Lange, A Wieghaus, A Makarov, ...
Molecular & cellular proteomics 10 (9), 2011
A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics
J Cox, I Matic, M Hilger, N Nagaraj, M Selbach, JV Olsen, M Mann
Nature protocols 4 (5), 698-705, 2009
System-wide perturbation analysis with nearly complete coverage of the yeast proteome by single-shot ultra HPLC runs on a bench top Orbitrap
N Nagaraj, NA Kulak, J Cox, N Neuhauser, K Mayr, O Hoerning, O Vorm, ...
Molecular & Cellular Proteomics 11 (3), 2012
The coming age of complete, accurate, and ubiquitous proteomes
M Mann, NA Kulak, N Nagaraj, J Cox
Molecular cell 49 (4), 583-590, 2013
Deep Proteomics of Mouse Skeletal Muscle Enables Quantitation of Protein Isoforms, Metabolic Pathways, and Transcription Factors*[S]
AS Deshmukh, M Murgia, N Nagaraj, JT Treebak, J Cox, M Mann
Molecular & Cellular Proteomics 14 (4), 841-853, 2015
Global proteome turnover analyses of the yeasts S. cerevisiae and S. pombe
R Christiano, N Nagaraj, F Fröhlich, TC Walther
Cell reports 9 (5), 1959-1965, 2014
Brain phosphoproteome obtained by a FASP-based method reveals plasma membrane protein topology
JR Wisniewski, N Nagaraj, A Zougman, F Gnad, M Mann
Journal of proteome research 9 (6), 3280-3289, 2010
Quantitative analysis of the intra-and inter-individual variability of the normal urinary proteome
N Nagaraj, M Mann
Journal of proteome research 10 (2), 637-645, 2011
Single muscle fiber proteomics reveals fiber-type-specific features of human muscle aging
M Murgia, L Toniolo, N Nagaraj, S Ciciliot, V Vindigni, S Schiaffino, ...
Cell reports 19 (11), 2396-2409, 2017
Initial quantitative proteomic map of 28 mouse tissues using the SILAC mouse
T Geiger, A Velic, B Macek, E Lundberg, C Kampf, N Nagaraj, M Uhlen, ...
Molecular & Cellular Proteomics 12 (6), 1709-1722, 2013
Proteomics reveals dynamic assembly of repair complexes during bypass of DNA cross-links
M Räschle, G Smeenk, RK Hansen, T Temu, Y Oka, MY Hein, N Nagaraj, ...
Science 348 (6234), 1253671, 2015
Feasibility of large-scale phosphoproteomics with higher energy collisional dissociation fragmentation
N Nagaraj, RCJ D’Souza, J Cox, JV Olsen, M Mann
Journal of proteome research 9 (12), 6786-6794, 2010
Single muscle fiber proteomics reveals unexpected mitochondrial specialization
M Murgia, N Nagaraj, AS Deshmukh, M Zeiler, P Cancellara, I Moretti, ...
EMBO reports 16 (3), 387-395, 2015
Cell-type-resolved quantitative proteomics of murine liver
SB Azimifar, N Nagaraj, J Cox, M Mann
Cell metabolism 20 (6), 1076-1087, 2014
Large-scale phosphosite quantification in tissues by a spike-in SILAC method
M Monetti, N Nagaraj, K Sharma, M Mann
Nature methods 8 (8), 655-658, 2011
The system can't perform the operation now. Try again later.
Articles 1–20