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      Time- and compartment-resolved proteome profiling of the extracellular niche in lung injury and repair

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          Abstract

          The extracellular matrix (ECM) is a key regulator of tissue morphogenesis and repair. However, its composition and architecture are not well characterized. Here, we monitor remodeling of the extracellular niche in tissue repair in the bleomycin-induced lung injury mouse model. Mass spectrometry quantified 8,366 proteins from total tissue and bronchoalveolar lavage fluid (BALF) over the course of 8 weeks, surveying tissue composition from the onset of inflammation and fibrosis to its full recovery. Combined analysis of proteome, secretome, and transcriptome highlighted post-transcriptional events during tissue fibrogenesis and defined the composition of airway epithelial lining fluid. To comprehensively characterize the ECM, we developed a quantitative detergent solubility profiling (QDSP) method, which identified Emilin-2 and collagen-XXVIII as novel constituents of the provisional repair matrix. QDSP revealed which secreted proteins interact with the ECM, and showed drastically altered association of morphogens to the insoluble matrix upon injury. Thus, our proteomic systems biology study assigns proteins to tissue compartments and uncovers their dynamic regulation upon lung injury and repair, potentially contributing to the development of anti-fibrotic strategies.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            HTSeq—a Python framework to work with high-throughput sequencing data

            Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard workflows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid development of such scripts. HTSeq offers parsers for many common data formats in HTS projects, as well as classes to represent data, such as genomic coordinates, sequences, sequencing reads, alignments, gene model information and variant calls, and provides data structures that allow for querying via genomic coordinates. We also present htseq-count, a tool developed with HTSeq that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads with genes. Availability and implementation: HTSeq is released as an open-source software under the GNU General Public Licence and available from http://www-huber.embl.de/HTSeq or from the Python Package Index at https://pypi.python.org/pypi/HTSeq. Contact: sanders@fs.tum.de
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              MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

              Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
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                Author and article information

                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                msb
                Molecular Systems Biology
                John Wiley & Sons, Ltd (Chichester, UK )
                1744-4292
                1744-4292
                July 2015
                14 July 2015
                : 11
                : 7
                : 819
                Affiliations
                [1 ]Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry Martinsried, Germany
                [2 ]Comprehensive Pneumology Center, University Hospital of the Ludwig-Maximilians-University Munich and Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL) Munich, Germany
                [3 ]Institute of Human Genetics, Helmholtz Zentrum München Neuherberg, Germany
                Author notes
                * Corresponding author. Tel: +49 89 8578 2087; E-mail: hschille@ 123456biochem.mpg.de
                ** Corresponding author. Tel: +49 89 3187 4666; E-mail: oliver.eickelberg@ 123456helmholtz-muenchen.de
                *** Corresponding author. Tel: +49 89 8578 2557; E-mail: mmann@ 123456biochem.mpg.de

                Subject Categories Genome-Scale & Integrative Biology; Post-translational Modifications, Proteolysis & Proteomics; Molecular Biology of Disease

                Article
                10.15252/msb.20156123
                4547847
                26174933
                a69bcf37-d5a6-40bf-aed9-7fd789035469
                © 2015 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 February 2015
                : 11 May 2015
                : 18 May 2015
                Categories
                Articles

                Quantitative & Systems biology
                extracellular matrix,fibrosis,proteomics,regeneration,secretome
                Quantitative & Systems biology
                extracellular matrix, fibrosis, proteomics, regeneration, secretome

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