2014
DOI: 10.1074/mcp.m113.031591
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Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ

Abstract: Protein quantification without isotopic labels has been a long-standing interest in the proteomics field. However, accurate and robust proteome-wide quantification with label-free approaches remains a challenge. We developed a new intensity determination and normalization procedure called MaxLFQ that is fully compatible with any peptide or protein separation prior to LC-MS analysis. Protein abundance profiles are assembled using the maximum possible information from MS signals, given that the presence of quant… Show more

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Cited by 4,221 publications
(4,077 citation statements)
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“…Data-dependent LC-MS/MS analysis of extracted peptide mixtures after digestion was carried out on a Fusion tri-hybrid Orbitrap mass spectrometer (Thermo Fisher Scientific). Data from all five fractions for each sample were pooled and analyzed to identify peptides (at 1% FDR) and obtain Label-Free Quantitation (LFQ) with the software MaxQuant as previously described 5 . Data analysis and annotation was done with the Perseus package 30 and GraphPad Prism.…”
Section: Label Free Quantitative (Ms-lfq) Analyses By Mass Spectrometrymentioning
confidence: 99%
“…Data-dependent LC-MS/MS analysis of extracted peptide mixtures after digestion was carried out on a Fusion tri-hybrid Orbitrap mass spectrometer (Thermo Fisher Scientific). Data from all five fractions for each sample were pooled and analyzed to identify peptides (at 1% FDR) and obtain Label-Free Quantitation (LFQ) with the software MaxQuant as previously described 5 . Data analysis and annotation was done with the Perseus package 30 and GraphPad Prism.…”
Section: Label Free Quantitative (Ms-lfq) Analyses By Mass Spectrometrymentioning
confidence: 99%
“…S1). LFQ values were normalized to adjust for any differences introduced as a result of sample handling or fractionation using the delayed normalization approach in maxquant (Cox et al ., 2014). Correlation plots for LFQ intensities revealed strong correlation between biological replicates within treatments, suggesting successful sample loading and normalization (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The match between runs option was also enabled with a match time window of 0.7 min and an alignment time window of 20 min. Relative, label‐free quantification of proteins was performed using the MaxLFQ algorithm (Cox et al., 2014) integrated into MaxQuant. The parameters were as follows: Minimum ratio count was set to 1, the FastLFQ option was enabled, LFQ minimum number of neighbors was set to 3, and the LFQ average number of neighbors was set to 6, as per default.…”
Section: Methodsmentioning
confidence: 99%