What question did this study set out to answer?

Develop and validate an accurate, robust, and computationally scalable algorithm for proteome-wide label-free protein quantification in mass spectrometry data.

June 18, 2014Molecular & Cellular ProteomicsOpen Access

Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ

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Authors

JCJürgen CoxMax Planck Institute of Biochemistry MHMarco Y. HeinMax Perutz Labs CLChristian A. LuberKlinik und Poliklinik für Augenheilkunde Universitätsklinikum Regensburg

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Implication

Validation study demonstrates accurate proteome-wide quantification across wide concentration ranges in benchmark datasets, indicating a scalable label-free analysis framework.

Key Points

Develop and validate an accurate, robust, and computationally scalable algorithm for proteome-wide label-free protein quantification in mass spectrometry data.
Engineered MaxLFQ using delayed normalization and maximal peptide ratio extraction to reconstruct protein abundances from variable liquid chromatography-mass spectrometry signals.
Benchmarked performance against two reference datasets with known proteome mixing ratios and multi-order-of-magnitude fold changes.
Integrated the algorithm into the MaxQuant computational platform and evaluated execution efficiency on cohorts containing over 500 samples.
Accurately resolved predetermined mixing ratios across the complete dynamic range of protein expression, showing increased precision for highly abundant proteins.
Quantified protein fold changes spanning multiple orders of magnitude without isotopic labeling.
Maintained computational efficiency during automated analysis of large experiments exceeding 500 samples.

Cite This Study

Cox et al. (2014) studied this question.

synapsesocial.com/papers/69d87bf752654bb436d193b6 https://doi.org/10.1074/mcp.m113.031591

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Implication

Validation study demonstrates accurate proteome-wide quantification across wide concentration ranges in benchmark datasets, indicating a scalable label-free analysis framework.

Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ

Discussion

Member takes

Implication

Key Points

Cite This Study

Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ

Discussion

Member takes

Implication

Key Points

Cite This Study

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