TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples
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Devin K. Schweppe | Edward L. Huttlin | S. Gygi | E. Huttlin | J. Paulo | Andrew H. Thompson | K. Kuhn | Ryan D. Bomgarden | R. Viner | J. Rogers | I. Pike | A. Robitaille | Jiaming Li | Chris Etienne | Jonathan G Van Vranken | Jonathan G. Van Vranken | Laura Pontano Vaites | Premchendar Nandhikonda | Andrew Thompson
[1] K. Kuhn,et al. TMTpro: Design, synthesis and initial evaluation of a Proline-based isobaric 16-plex Tandem Mass Tag reagent set. , 2019, Analytical chemistry.
[2] R. Zubarev,et al. Proteome Integral Solubility Alteration (PISA): a high-throughput proteomics assay for target deconvolution. , 2019, Journal of proteome research.
[3] P. Nordlund,et al. Horizontal Cell Biology: Monitoring Global Changes of Protein Interaction States with the Proteome-Wide Cellular Thermal Shift Assay (CETSA). , 2019, Annual review of biochemistry.
[4] Ramin Rad,et al. Full-featured, real-time database searching platform enables fast and accurate multiplexed quantitative proteomics , 2019, bioRxiv.
[5] Vladimir Denic,et al. TEX264 Is an Endoplasmic Reticulum-Resident ATG8-Interacting Protein Critical for ER Remodeling during Nutrient Stress. , 2019, Molecular cell.
[6] Martin Wühr,et al. A Review on Quantitative Multiplexed Proteomics , 2019, Chembiochem : a European journal of chemical biology.
[7] Subha Madhavan,et al. Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities , 2019, Cell.
[8] Julian Mintseris,et al. Active Instrument Engagement Combined with a Real-Time Database Search for Improved Performance of Sample Multiplexing Workflows. , 2019, Journal of proteome research.
[9] K. Guan,et al. mTOR as a central hub of nutrient signalling and cell growth , 2019, Nature Cell Biology.
[10] Christopher S. Hughes,et al. Single-pot, solid-phase-enhanced sample preparation for proteomics experiments , 2018, Nature Protocols.
[11] I. Dikic,et al. Mechanism and medical implications of mammalian autophagy , 2018, Nature reviews. Molecular cell biology.
[12] Steven P Gygi,et al. Streamlined Tandem Mass Tag (SL-TMT) Protocol: An Efficient Strategy for Quantitative (Phospho)proteome Profiling Using Tandem Mass Tag-Synchronous Precursor Selection-MS3. , 2018, Journal of proteome research.
[13] N. Mizushima. A brief history of autophagy from cell biology to physiology and disease , 2018, Nature Cell Biology.
[14] P. Grandi,et al. Multiplexed Proteome Dynamics Profiling Reveals Mechanisms Controlling Protein Homeostasis , 2018, Cell.
[15] S. Gygi,et al. Filter-Based Protein Digestion (FPD): A Detergent-Free and Scaffold-Based Strategy for TMT Workflows. , 2018, Journal of proteome research.
[16] B. Kuster,et al. Peptide Level Turnover Measurements Enable the Study of Proteoform Dynamics * , 2018, Molecular & Cellular Proteomics.
[17] Alasdair J. G. Gray,et al. The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY , 2017, Nucleic Acids Res..
[18] Laurent Gatto,et al. Using hyperLOPIT to perform high-resolution mapping of the spatial proteome , 2017, Nature Protocols.
[19] C. E. Parker,et al. Current trends in quantitative proteomics - an update. , 2017, Journal of mass spectrometry : JMS.
[20] D. Sabatini,et al. mTOR Signaling in Growth, Metabolism, and Disease , 2017, Cell.
[21] C. Treins,et al. ZRF1 is a novel S6 kinase substrate that drives the senescence programme , 2017, The EMBO journal.
[22] M. Bantscheff,et al. Thermal profiling reveals phenylalanine hydroxylase as an off-target of panobinostat. , 2016, Nature chemical biology.
[23] Steven P. Gygi,et al. Defining the consequences of genetic variation on a proteome-wide scale , 2016, Nature.
[24] Mathias Wilhelm,et al. A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets , 2015, Molecular & Cellular Proteomics.
[25] Alexander S. Banks,et al. Effects of MEK inhibitors GSK1120212 and PD0325901 in vivo using 10‐plex quantitative proteomics and phosphoproteomics , 2015, Proteomics.
[26] J. Yates,et al. Isobaric Labeling-Based Relative Quantification in Shotgun Proteomics , 2014, Journal of proteome research.
[27] G. Drewes,et al. Tracking cancer drugs in living cells by thermal profiling of the proteome , 2014, Science.
[28] Edward L. Huttlin,et al. MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes , 2014, Analytical chemistry.
[29] J. Asara,et al. Stimulation of de Novo Pyrimidine Synthesis by Growth Signaling Through mTOR and S6K1 , 2013, Science.
[30] Derek J. Bailey,et al. Neutron-encoded mass signatures for multi-plexed proteome quantification , 2013, Nature Methods.
[31] Edward L. Huttlin,et al. Increasing the multiplexing capacity of TMTs using reporter ion isotopologues with isobaric masses. , 2012, Analytical chemistry.
[32] Steven P Gygi,et al. Hyperplexing: A Method for Higher-Order Multiplexed Quantitative Proteomics Provides a Map of the Dynamic Response to Rapamycin in Yeast , 2012, Science Signaling.
[33] Edward L Huttlin,et al. Correct Interpretation of Comprehensive Phosphorylation Dynamics Requires Normalization by Protein Expression Changes* , 2011, Molecular & Cellular Proteomics.
[34] Edward L. Huttlin,et al. A Tissue-Specific Atlas of Mouse Protein Phosphorylation and Expression , 2010, Cell.
[35] D. Sabatini,et al. An ATP-competitive Mammalian Target of Rapamycin Inhibitor Reveals Rapamycin-resistant Functions of mTORC1* , 2009, Journal of Biological Chemistry.
[36] D. Hochstrasser,et al. Relative quantification of proteins in human cerebrospinal fluids by MS/MS using 6-plex isobaric tags. , 2008, Analytical chemistry.
[37] Brad T. Sherman,et al. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.
[38] Steven P Gygi,et al. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry , 2007, Nature Methods.
[39] Steven P Gygi,et al. A probability-based approach for high-throughput protein phosphorylation analysis and site localization , 2006, Nature Biotechnology.
[40] Andrew H. Thompson,et al. Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. , 2003, Analytical chemistry.