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020 _a9781071639221
_9978-1-0716-3922-1
024 7 _a10.1007/978-1-0716-3922-1
_2doi
050 4 _aRM300-666
072 7 _aMMG
_2bicssc
072 7 _aMED071000
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072 7 _aMKG
_2thema
082 0 4 _a615
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245 1 0 _aProteomics for Drug Discovery
_h[electronic resource] /
_cedited by Josip Blonder.
250 _a1st ed. 2024.
264 1 _aNew York, NY :
_bSpringer US :
_bImprint: Humana,
_c2024.
300 _aXIV, 312 p. 64 illus., 58 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
341 0 _bTable of contents navigation
_2onix
341 0 _bSingle logical reading order
_2onix
341 0 _bShort alternative textual descriptions
_2onix
341 0 _bUse of color is not sole means of conveying information
_2onix
341 0 _bUse of high contrast between text and background color
_2onix
341 0 _bNext / Previous structural navigation
_2onix
341 0 _bAll non-decorative content supports reading without sight
_2onix
347 _atext file
_bPDF
_2rda
490 1 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2823
505 0 _aA Multiplexed Single Cell Proteomic Workflow Applicable to Drug Treatment Studies -- Systematic Identification of Kinase Substrates Relationship by Integrated Phosphoproteome and Interactome Analysis -- Quantitative Membrane Proteomics for Discovery of Actionable Drug Targets at the Surface of RAS Driven Human Cancer Cells -- Using Photoreactive Probes to Identify Viable Drug Targets in NonSmall Cell Lung Cancer -- A Microdissection Protocol for Proteogenomic Analysis of Histological Sections to Advance Drug Development -- Unbiased Quantitative Proteomics of Organoid Models of Pancreatic Cancer -- Drug Screening Using Normal Cell and Cancer Cell Mixture in an Automated 3D Cell Culture System -- Proteogenomic Workflow for Characterization of Microphthalmia Transcription Factor (MiT) Family Translocation Renal Cell Carcinoma -- A Tip Based Workflow for Sensitive IMAC Based Low Nanogram Level Phosphoproteomics -- Microfluidic Sample Preparation for Multiplexed Single Cell Proteomics Using a Nested Nanowell Chip -- 12 Plex Isobaric Multiplex Labeling Reagents for Carbonyl Containing Compound (SUGAR) Tag Enabled High Throughput Quantitative Glycomics -- Automated Immunoprecipitation Workflow for Comprehensive Acetylome Analysis -- A Fast Tracking Sample Preparation Protocol for Proteomics of Formalin Fixed Paraffin Embedded Tumor Tissues -- Identification of Proteomic Biomarkers of Acetaminophen Induced Hepatotoxicity Using Stable Isotope Labeling -- Reusing Peptide Spectral Reference Libraries to Discover Putative Plasma Biomarkers of Response to Cancer Chemotherapy -- Targeted Mass Spectrometry for Quantification of Receptor Tyrosine Kinase Signaling -- Detection and Quantitation of Endogenous Membrane-Bound RAS Proteins and KRAS Mutants in Cancer Cell Lines Using 1D SDS PAGE LC-MS2 -- Determining KRAS4B Targeting Compound Specificity by Top Down Mass Spectrometry.
520 _aThis detailed volume explores a wide range of experimental and bioinformatic proteomics methods applicable to the drug discovery process. Focused on drug target discovery, validation, characterization, and quantitation, the book delves into bottom-up data-dependent (DDA) shotgun and data-independent acquisition (DIA) proteomics, cell surface proteomics, proteogenomics, chemoproteomics, methodologies focused on posttranslational modifications, single cell proteomics, 3D cell culture proteomics, organoids, and laser capture microdissection (LCM) assisted tissue proteogenomics. Advanced quantitative techniques, which include label-free, mass tagging, and targeted immuno-MRM proteomics, along with top-down proteomics for validation and characterization of selected protein targets, are also described. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding foreseeable pitfalls. Authoritative and practical, Proteomics for Drug Discovery serves as an ideal guide for researchers striving to push the field of drug discovery via MS-based proteomics to new frontiers.
532 8 _aAccessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
532 8 _aNo reading system accessibility options actively disabled
532 8 _aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0 _aPharmacology.
650 0 _aProteins.
650 1 4 _aPharmacology.
650 2 4 _aProteins.
700 1 _aBlonder, Josip.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781071639214
776 0 8 _iPrinted edition:
_z9781071639238
776 0 8 _iPrinted edition:
_z9781071639245
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2823
856 4 0 _uhttps://doi.org/10.1007/978-1-0716-3922-1
912 _aZDB-2-PRO
999 _c8634
_d8634