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Journal ArticleDOI

mProphet: automated data processing and statistical validation for large-scale SRM experiments

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TLDR
In this article, the authors present mProphet, a fully automated system that computes accurate error rates for the identification of targeted peptides in SRM data sets and maximizes specificity and sensitivity by combining relevant features in the data into a statistical model.
Abstract
Selected reaction monitoring (SRM) is a targeted mass spectrometric method that is increasingly used in proteomics for the detection and quantification of sets of preselected proteins at high sensitivity, reproducibility and accuracy. Currently, data from SRM measurements are mostly evaluated subjectively by manual inspection on the basis of ad hoc criteria, precluding the consistent analysis of different data sets and an objective assessment of their error rates. Here we present mProphet, a fully automated system that computes accurate error rates for the identification of targeted peptides in SRM data sets and maximizes specificity and sensitivity by combining relevant features in the data into a statistical model.

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Citations
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Journal ArticleDOI

Targeted Proteomics for Multiplexed Verification of Markers of Colorectal Tumorigenesis.

TL;DR: The proteins identified in this study expand the pool of biomarker candidates that can be used to develop a standardized precolonoscopy blood test for the early detection of colorectal tumors.
Journal ArticleDOI

SWATH2stats: An R/Bioconductor Package to Process and Convert Quantitative SWATH-MS Proteomics Data for Downstream Analysis Tools.

TL;DR: The R/Bioconductor package SWATH2stats is a new open-source tool that summarizes several practical functionalities for analyzing, processing, and converting SWATH-MS data and thus facilitates the efficient analysis of large-scale SWATH/DIA datasets.
Journal ArticleDOI

Tandem mass spectral libraries of peptides and their roles in proteomics research

TL;DR: The historical development of spectral libraries in proteomics is described, the computational procedures behind library building and searching are detailed, the current applications of spectral Libraries are surveyed, and the outstanding challenges are discussed.
Journal ArticleDOI

Quantification of SAHA-Dependent Changes in Histone Modifications Using Data-Independent Acquisition Mass Spectrometry.

TL;DR: A data-independent acquisition (DIA) workflow that provides superior run-to-run consistency and postacquisition flexibility in comparison to DDA methods is utilized and a novel DIA-based methodology to quantify isobaric, co-eluting histone peptides that lack unique MS2 transitions is developed.
Journal ArticleDOI

Evaluation of data-dependent and -independent mass spectrometric workflows for sensitive quantification of proteins and phosphorylation sites.

TL;DR: Comparing the performance of conventional DDA, directed, and various targeted MS approaches on two different instruments, namely, a hybrid linear ion trap--Orbitrap and a triple quadrupole instrument found that all methods performed similarly in the absence of background proteins; however, when analyzing whole-cell lysates, targeted methods were at least 5-10 times more sensitive than that of the directed or DDA method.
References
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Journal ArticleDOI

Statistical significance for genomewide studies

TL;DR: This work proposes an approach to measuring statistical significance in genomewide studies based on the concept of the false discovery rate, which offers a sensible balance between the number of true and false positives that is automatically calibrated and easily interpreted.
Journal ArticleDOI

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

TL;DR: SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system and is applied to the relative quantitation of changes in protein expression during the process of muscle cell differentiation.
Journal ArticleDOI

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

TL;DR: A statistical model is presented to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST, demonstrating that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides.
Journal ArticleDOI

A statistical model for identifying proteins by tandem mass spectrometry.

TL;DR: A statistical model is presented for computing probabilities that proteins are present in a sample on the basis of peptides assigned to tandem mass (MS/MS) spectra acquired from a proteolytic digest of the sample, and it is shown to produce probabilities that are accurate and have high power to discriminate correct from incorrect protein identifications.
Journal ArticleDOI

Skyline: an open source document editor for creating and analyzing targeted proteomics experiments

TL;DR: The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM).
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