Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ
Authors
Keywords
-
Journal
MOLECULAR & CELLULAR PROTEOMICS
Volume 13, Issue 9, Pages 2513-2526
Publisher
American Society for Biochemistry & Molecular Biology (ASBMB)
Online
2014-06-19
DOI
10.1074/mcp.m113.031591
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics
- (2013) Hendrik Weisser et al. JOURNAL OF PROTEOME RESEARCH
- Molecular fingerprinting of the podocyte reveals novel gene and protein regulatory networks
- (2013) Melanie Boerries et al. KIDNEY INTERNATIONAL
- Identification of a Metabolizing Enzyme in Human Kidney by Proteomic Correlation Profiling
- (2013) Hidetaka Sakurai et al. MOLECULAR & CELLULAR PROTEOMICS
- The Coming Age of Complete, Accurate, and Ubiquitous Proteomes
- (2013) Matthias Mann et al. MOLECULAR CELL
- Label-free quantitative analysis of the membrane proteome of Bace1 protease knock-out zebrafish brains
- (2013) Sebastian Hogl et al. PROTEOMICS
- Quantitative proteomic analysis reveals the neuroprotective effects of huperzine A for amyloid beta treated neuroblastoma N2a cells
- (2013) Yimin Tao et al. PROTEOMICS
- Shotgun proteomics of archival triple-negative breast cancer samples
- (2013) Angelo Gámez-Pozo et al. Proteomics Clinical Applications
- Direct Proteomic Quantification of the Secretome of Activated Immune Cells
- (2013) F. Meissner et al. SCIENCE
- A Proteomic Characterization of Factors Enriched at Nascent DNA Molecules
- (2013) Andres J. Lopez-Contreras et al. Cell Reports
- Analysis of the Plasmodium falciparum proteasome using Blue Native PAGE and label-free quantitative mass spectrometry
- (2012) Nicole Sessler et al. AMINO ACIDS
- Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present
- (2012) Marcus Bantscheff et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- Proteomics Pipeline for Biomarker Discovery of Laser Capture Microdissected Breast Cancer Tissue
- (2012) Ning Qing Liu et al. JOURNAL OF MAMMARY GLAND BIOLOGY AND NEOPLASIA
- SAINT-MS1: Protein–Protein Interaction Scoring Using Label-free Intensity Data in Affinity Purification-Mass Spectrometry Experiments
- (2012) Hyungwon Choi et al. JOURNAL OF PROTEOME RESEARCH
- Comparative Analysis of Different Label-Free Mass Spectrometry Based Protein Abundance Estimates and Their Correlation with RNA-Seq Gene Expression Data
- (2012) Kang Ning et al. JOURNAL OF PROTEOME RESEARCH
- Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins
- (2012) Tamar Geiger et al. MOLECULAR & CELLULAR PROTEOMICS
- Tools for Label-free Peptide Quantification
- (2012) Sven Nahnsen et al. MOLECULAR & CELLULAR PROTEOMICS
- A Map of General and Specialized Chromatin Readers in Mouse Tissues Generated by Label-free Interaction Proteomics
- (2012) H. Christian Eberl et al. MOLECULAR CELL
- Extensive quantitative remodeling of the proteome between normal colon tissue and adenocarcinoma
- (2012) Jacek R Wiśniewski et al. Molecular Systems Biology
- Proteomics-based identification of low-abundance signaling and regulatory protein complexes in native plant tissues
- (2012) Cezary Smaczniak et al. Nature Protocols
- Next-generation proteomics: towards an integrative view of proteome dynamics
- (2012) A. F. Maarten Altelaar et al. NATURE REVIEWS GENETICS
- Label-free quantitative proteomics of CD133-positive liver cancer stem cells
- (2012) Sheng-Ta Tsai et al. Proteome Science
- A comparative analysis of computational approaches to relative protein quantification using peptide peak intensities in label-free LC-MS proteomics experiments
- (2012) Melissa M. Matzke et al. PROTEOMICS
- Quantitative proteomics of Trypanosoma cruzi during metacyclogenesis
- (2012) Lyris Martins Franco de Godoy et al. PROTEOMICS
- Direct comparison of MS-based label-free and SILAC quantitative proteome profiling strategies in primary retinal Müller cells
- (2012) Juliane Merl et al. PROTEOMICS
- Proteomic analysis of formalin-fixed paraffin-embedded renal tissue samples by label-free MS: Assessment of overall technical variability and the impact of block age
- (2012) Rachel A. Craven et al. Proteomics Clinical Applications
- Hyperplexing: A Method for Higher-Order Multiplexed Quantitative Proteomics Provides a Map of the Dynamic Response to Rapamycin in Yeast
- (2012) N. Dephoure et al. Science Signaling
- Reorganized PKA-AKAP associations in the failing human heart
- (2011) Thin-Thin Aye et al. JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY
- Proteome Analysis of Erythrocytes Lacking AMP-Activated Protein Kinase Reveals a Role of PAK2 Kinase in Eryptosis
- (2011) Christine Zelenak et al. JOURNAL OF PROTEOME RESEARCH
- Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
- (2011) Jürgen Cox et al. JOURNAL OF PROTEOME RESEARCH
- Analysis of Seminal Plasma from Patients with Non-obstructive Azoospermia and Identification of Candidate Biomarkers of Male Infertility
- (2011) Ihor Batruch et al. JOURNAL OF PROTEOME RESEARCH
- Ultra High Resolution Linear Ion Trap Orbitrap Mass Spectrometer (Orbitrap Elite) Facilitates Top Down LC MS/MS and Versatile Peptide Fragmentation Modes
- (2011) Annette Michalski et al. MOLECULAR & CELLULAR PROTEOMICS
- Mass Spectrometry-based Proteomics Using Q Exactive, a High-performance Benchtop Quadrupole Orbitrap Mass Spectrometer
- (2011) Annette Michalski et al. MOLECULAR & CELLULAR PROTEOMICS
- Global quantification of mammalian gene expression control
- (2011) Björn Schwanhäusser et al. NATURE
- Quantitative Proteomics Reveals Subset-Specific Viral Recognition in Dendritic Cells
- (2010) Christian A. Luber et al. IMMUNITY
- Quantitative proteomics combined with BAC TransgeneOmics reveals in vivo protein interactions
- (2010) Nina C. Hubner et al. JOURNAL OF CELL BIOLOGY
- A statistical framework for protein quantitation in bottom-up MS-based proteomics
- (2009) Yuliya Karpievitch et al. BIOINFORMATICS
- Protein Quantification in Label-Free LC-MS Experiments
- (2009) Timothy Clough et al. JOURNAL OF PROTEOME RESEARCH
- DAnTE: a statistical tool for quantitative analysis of -omics data
- (2008) A. D. Polpitiya et al. BIOINFORMATICS
- OpenMS – An open-source software framework for mass spectrometry
- (2008) Marc Sturm et al. BMC BIOINFORMATICS
- An Assessment of Software Solutions for the Analysis of Mass Spectrometry Based Quantitative Proteomics Data
- (2008) Lukas N. Mueller et al. JOURNAL OF PROTEOME RESEARCH
- Absolute Protein Quantification by LC/MSEfor Global Analysis of Salicylic Acid-Induced Plant Protein Secretion Responses
- (2008) Fang-yi Cheng et al. JOURNAL OF PROTEOME RESEARCH
- How Much Peptide Sequence Information Is Contained in Ion Trap Tandem Mass Spectra?
- (2008) J COX et al. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
- Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast
- (2008) Lyris M. F. de Godoy et al. NATURE
- MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
- (2008) Jürgen Cox et al. NATURE BIOTECHNOLOGY
- Triplex protein quantification based on stable isotope labeling by peptide dimethylation applied to cell and tissue lysates
- (2008) Paul J. Boersema et al. PROTEOMICS
- Peptide separation with immobilized pI strips is an attractive alternative to in-gel protein digestion for proteome analysis
- (2008) Nina C. Hubner et al. PROTEOMICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started