Combinatorial degradomics: Precision tools to unveil proteolytic processes in biological systems.
暂无分享,去创建一个
Simonas Savickas | Philipp Kastl | Ulrich Auf dem Keller | Simonas Savickas | U. A. D. Keller | Philipp Kastl
[1] P. Cieplak,et al. Caspase Cleavage Sites in the Human Proteome: CaspDB, a Database of Predicted Substrates , 2014, Apoptosis.
[2] A. Fonteh,et al. Protein Analysis in Human Cerebrospinal Fluid: Physiological Aspects, Current Progress and Future Challenges , 2005, Disease markers.
[3] Jeffrey W. Smith,et al. CutDB: a proteolytic event database , 2006, Nucleic Acids Res..
[4] Pitter F. Huesgen,et al. Active site specificity profiling of the matrix metalloproteinase family: Proteomic identification of 4300 cleavage sites by nine MMPs explored with structural and synthetic peptide cleavage analyses. , 2016, Matrix biology : journal of the International Society for Matrix Biology.
[5] Paul Pavlidis,et al. Network Analyses Reveal Pervasive Functional Regulation Between Proteases in the Human Protease Web , 2014, PLoS biology.
[6] A. Dufour,et al. Proteolytic Cleavage-Mechanisms, Function, and "Omic" Approaches for a Near-Ubiquitous Posttranslational Modification. , 2017, Chemical reviews.
[7] P. Cutler,et al. Qualitative improvement and quantitative assessment of N‐terminomics , 2012, Proteomics.
[8] Xiaofang Zhong,et al. HOTMAQ: A Multiplexed Absolute Quantification Method for Targeted Proteomics. , 2019, Analytical chemistry.
[9] U. auf dem Keller,et al. Exploring Extracellular Matrix Degradomes by TMT-TAILS N-Terminomics. , 2019, Methods in molecular biology.
[10] Gary D Bader,et al. The biology/disease-driven human proteome project (B/D-HPP): enabling protein research for the life sciences community. , 2013, Journal of proteome research.
[11] B. Fingleton,et al. Systems-Level Analysis of Proteolytic Events in Increased Vascular Permeability and Complement Activation in Skin Inflammation , 2013, Science Signaling.
[12] Brendan MacLean,et al. Bioinformatics Applications Note Gene Expression Skyline: an Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments , 2022 .
[13] U. Eckhard,et al. TAILS N-terminomics and proteomics reveal complex regulation of proteolytic cleavage by O-glycosylation , 2018, The Journal of Biological Chemistry.
[14] Damian Szklarczyk,et al. Version 4.0 of PaxDb: Protein abundance data, integrated across model organisms, tissues, and cell‐lines , 2015, Proteomics.
[15] Oliver M. Bernhardt,et al. Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results* , 2017, Molecular & Cellular Proteomics.
[16] R. Zahedi,et al. An improved workflow for quantitative N‐terminal charge‐based fractional diagonal chromatography (ChaFRADIC) to study proteolytic events in Arabidopsis thaliana , 2015, Proteomics.
[17] K. Mechtler,et al. Arginine phosphorylation marks proteins for degradation by a Clp protease , 2016, Nature.
[18] L. Zhang,et al. Hydrophobic Tagging-Assisted N-Termini Enrichment for In-Depth N-Terminome Analysis. , 2016, Analytical chemistry.
[19] K. Gevaert,et al. Exploring proteomes and analyzing protein processing by mass spectrometric identification of sorted N-terminal peptides , 2003, Nature Biotechnology.
[20] U. auf dem Keller,et al. In Vivo Assessment of Protease Dynamics in Cutaneous Wound Healing by Degradomics Analysis of Porcine Wound Exudates* , 2014, Molecular & Cellular Proteomics.
[21] Sharon Yang,et al. Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events , 2014, Nucleic Acids Res..
[22] U. Schepers,et al. Secretome protein enrichment identifies physiological BACE1 protease substrates in neurons , 2012, The EMBO journal.
[23] S. Mahrus,et al. Tags for labeling protein N-termini with subtiligase for proteomics. , 2008, Bioorganic & medicinal chemistry letters.
[24] A. Hoofnagle,et al. Interlaboratory agreement of insulin-like growth factor 1 concentrations measured by mass spectrometry. , 2014, Clinical chemistry.
[25] John F. Valliere-Douglass,et al. ELISA reagent coverage evaluation by affinity purification tandem mass spectrometry , 2017, mAbs.
[26] Simonas Savickas,et al. Targeted degradomics in protein terminomics and protease substrate discovery , 2017, Biological chemistry.
[27] F. Avilés,et al. Complementary positional proteomics for screening substrates of endo- and exoproteases , 2010, Nature Methods.
[28] W. Weichert,et al. An optimised version of the secretome protein enrichment with click sugars (SPECS) method leads to enhanced coverage of the secretome , 2017, Proteomics.
[29] Adele Bourmaud,et al. Parallel reaction monitoring using quadrupole‐Orbitrap mass spectrometer: Principle and applications , 2016, Proteomics.
[30] S. Jaffrey,et al. Global profiling of protease cleavage sites by chemoselective labeling of protein N-termini , 2009, Proceedings of the National Academy of Sciences.
[31] Pitter F. Huesgen,et al. Sensitive Determination of Proteolytic Proteoforms in Limited Microscale Proteome Samples* , 2019, Molecular & Cellular Proteomics.
[32] Mathias Wilhelm,et al. Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning , 2019, Nature Methods.
[33] N. Slavov,et al. SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation , 2017, Genome Biology.
[34] Christopher M Overall,et al. Identifying and quantifying proteolytic events and the natural N terminome by terminal amine isotopic labeling of substrates , 2011, Nature Protocols.
[35] N. Kelleher,et al. Top Down proteomics: facts and perspectives. , 2014, Biochemical and biophysical research communications.
[36] C. Sander,et al. Applications of targeted proteomics in systems biology and translational medicine , 2015, Proteomics.
[37] R. Aebersold,et al. On the Dependency of Cellular Protein Levels on mRNA Abundance , 2016, Cell.
[38] J. Olsen,et al. Offline High pH Reversed-Phase Peptide Fractionation for Deep Phosphoproteome Coverage. , 2016, Methods in molecular biology.
[39] A. Heck,et al. Unbiased Selective Isolation of Protein N-terminal Peptides from Complex Proteome Samples Using Phospho Tagging (PTAG) and TiO2-based Depletion* , 2012, Molecular & Cellular Proteomics.
[40] Joshua M. Scurll,et al. The paracaspase MALT1 cleaves HOIL1 reducing linear ubiquitination by LUBAC to dampen lymphocyte NF-κB signalling , 2015, Nature Communications.
[41] Gerard Cagney,et al. An Overview of Label-Free Quantitation Methods in Proteomics by Mass Spectrometry , 2010, Proteome Bioinformatics.
[42] P. Righetti,et al. The ProteoMiner in the proteomic arena: a non-depleting tool for discovering low-abundance species. , 2008, Journal of proteomics.
[43] A. Heck,et al. Six alternative proteases for mass spectrometry–based proteomics beyond trypsin , 2016, Nature Protocols.
[44] Martin Wühr,et al. A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization. , 2017, Molecular cell.
[45] Jae Choi,et al. TomahaqCompanion: A Tool for the Creation and Analysis of Isobaric Label Based Multiplexed Targeted Assays. , 2018, Journal of proteome research.
[46] Oliver Schilling,et al. Identification and relative quantification of native and proteolytically generated protein C-termini from complex proteomes: C-terminome analysis. , 2011, Methods in molecular biology.
[47] Lloyd M. Smith,et al. Proteoform: a single term describing protein complexity , 2013, Nature Methods.
[48] Z. Szewczuk,et al. Trends in the Design of New Isobaric Labeling Reagents for Quantitative Proteomics , 2019, Molecules.
[49] Lennart Martens,et al. Chromatographic Isolation of Methionine-containing Peptides for Gel-free Proteome Analysis , 2002, Molecular & Cellular Proteomics.
[50] T. Terasaki,et al. Targeted proteomics-based quantitative protein atlas of pannexin and connexin subtypes in mouse and human tissues and cancer cell lines. , 2020, Journal of pharmaceutical sciences.
[51] Christoph H Borchers,et al. Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma , 2009, Nature Biotechnology.
[52] Neil D. Rawlings,et al. The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database , 2017, Nucleic Acids Res..
[53] K. Resing,et al. Mapping protein post-translational modifications with mass spectrometry , 2007, Nature Methods.
[54] Brendan MacLean,et al. MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments , 2014, Bioinform..
[55] R. Zahedi,et al. Simple, scalable, and ultrasensitive tip-based identification of protease substrates* , 2018, Molecular & Cellular Proteomics.
[56] U. auf dem Keller,et al. Matrix Metalloproteinase 10 Degradomics in Keratinocytes and Epidermal Tissue Identifies Bioactive Substrates With Pleiotropic Functions* , 2015, Molecular & Cellular Proteomics.
[57] M. Fonović,et al. Degradomics in Biomarker Discovery , 2019, Proteomics. Clinical applications.
[58] P. Pavlidis,et al. Protease-Inhibitor Interaction Predictions: Lessons on the Complexity of Protein–Protein Interactions , 2017, Molecular & Cellular Proteomics.
[59] N. Slavov,et al. SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation , 2017, Genome Biology.
[60] Susan E. Abbatiello,et al. Nonlinear Regression Improves Accuracy of Characterization of Multiplexed Mass Spectrometric Assays * , 2018, Molecular & Cellular Proteomics.
[61] Julia E. Seaman,et al. The DegraBase: A Database of Proteolysis in Healthy and Apoptotic Human Cells* , 2012, Molecular & Cellular Proteomics.