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Journal ArticleDOI

Exploring proteomes and analyzing protein processing by mass spectrometric identification of sorted N-terminal peptides.

TLDR
A diagonal method to isolate N-terminal peptides from in vivo blocked proteins based on diagonal electrophoresis and diagonal chromatography is described.
Abstract
Current non-gel techniques for analyzing proteomes rely heavily on mass spectrometric analysis of enzymatically digested protein mixtures. Prior to analysis, a highly complex peptide mixture is either separated on a multidimensional chromatographic system or it is first reduced in complexity by isolating sets of representative peptides. Recently, we developed a peptide isolation procedure based on diagonal electrophoresis and diagonal chromatography. We call it combined fractional diagonal chromatography (COFRADIC). In previous experiments, we used COFRADIC to identify more than 800 Escherichia coli proteins by tandem mass spectrometric (MS/MS) analysis of isolated methionine-containing peptides. Here, we describe a diagonal method to isolate N-terminal peptides. This reduces the complexity of the peptide sample, because each protein has one N terminus and is thus represented by only one peptide. In this new procedure, free amino groups in proteins are first blocked by acetylation and then digested with trypsin. After reverse-phase (RP) chromatographic fractionation of the generated peptide mixture, internal peptides are blocked using 2,4,6-trinitrobenzenesulfonic acid (TNBS); they display a strong hydrophobic shift and therefore segregate from the unaltered N-terminal peptides during a second identical separation step. N-terminal peptides can thereby be specifically collected for further liquid chromatography (LC)-MS/MS analysis. Omitting the acetylation step results in the isolation of non-lysine-containing N-terminal peptides from in vivo blocked proteins.

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Citations
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Journal ArticleDOI

Interpretation of Shotgun Proteomic Data The Protein Inference Problem

TL;DR: The difficulties of interpreting shotgun proteomic data are illustrated and the need for common nomenclature and transparent informatic approaches are discussed and related issues such as the state of protein sequence databases and their role in shotgun proteomics analysis, interpretation of relative peptide quantification data in the presence of multiple protein isoforms, and the integration of proteomic and transcriptional data are discussed.
Journal ArticleDOI

PRIDE: The proteomics identifications database

TL;DR: The proteomics identifications (PRIDE) database is proposed as a means to finally turn publicly available data into publicly accessible data and offers a web‐based query interface, a user‐friendly data upload facility, and a documented application programming interface for direct computational access.
Journal ArticleDOI

A novel strategy for quantitative proteomics using isotope‐coded protein labels

TL;DR: A novel method, termed isotope‐coded protein label (ICPL), which is capable of high‐throughput quantitative proteome profiling on a global scale, and based on stable isotope tagging at the frequent free amino groups of isolated intact proteins, applicable to any protein sample.
Journal ArticleDOI

Caspases and their substrates

TL;DR: The progress made in global identification of caspase substrates using proteomics is surveyed and the exciting new avenues these studies have opened for understanding the molecular logic of substrate cleavage in apoptotic and non-apoptotic processes are surveyed.
Journal ArticleDOI

Isotopic labeling of terminal amines in complex samples identifies protein N-termini and protease cleavage products

TL;DR: The approach, named terminal amine isotopic labeling of substrates (TAILS), addresses this challenge by using dendritic polyglycerol aldehyde polymers that remove tryptic and C-terminal peptides to discriminate between the substrates of the protease of interest and the products of background proteolysis.
References
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Journal ArticleDOI

Probability-based protein identification by searching sequence databases using mass spectrometry data.

TL;DR: A new computer program, Mascot, is presented, which integrates all three types of search for protein identification by searching a sequence database using mass spectrometry data, and the scoring algorithm is probability based.
Journal ArticleDOI

Quantitative analysis of complex protein mixtures using isotope-coded affinity tags

TL;DR: An approach for the accurate quantification and concurrent sequence identification of the individual proteins within complex mixtures based on isotope-coded affinity tags and tandem mass spectrometry is described.
Journal ArticleDOI

Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

TL;DR: MudPIT was applied to the proteome of the Saccharomyces cerevisiae strain BJ5460 grown to mid-log phase and yielded the largest proteome analysis to date, identifying 131 proteins with three or more predicted transmembrane domains which allowed us to map the soluble domains of many of the integral membrane proteins.
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Enrichment analysis of phosphorylated proteins as a tool for probing the phosphoproteome.

TL;DR: A method for enriching phosphoserine/threonine-containing proteins from crude cell extracts and for subsequently identifying the phosphoproteins and sites of phosphorylation is described, which involves chemical replacement of the phosphate moieties by affinity tags and should be of widespread utility for defining signaling pathways and control mechanisms that involve phosphorylated or dephosphorylation of serine/Threonine residues.
Journal ArticleDOI

A systematic approach to the analysis of protein phosphorylation

TL;DR: The method is equally applicable to serine-, threonine- and tyrosine-phosphorylated proteins, and is capable of selectively isolating and identifying phosphopeptides present in a highly complex peptide mixture.
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