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020 _a9781402059438
_99781402059438
024 7 _a10.1007/9781402059438
_2doi
035 _avtls000335408
039 9 _a201509030237
_bVLOAD
_c201404300301
_dVLOAD
_y201402041259
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQH573-671
100 1 _aBertrand, Eric.
_eeditor.
_9309258
245 1 0 _aSubcellular Proteomics :
_bFrom Cell Deconstruction to System Reconstruction /
_cedited by Eric Bertrand, Michel Faupel.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2007.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSubcellular Biochemistry,
_x0306-0225 ;
_v43
500 _aSpringer eBooks
505 0 _aMembrane Proteomics -- Keynotes on Membrane Proteomics -- Two-Dimensional BAC/SDS-PAGE for Membrane Proteomics -- Microparticles: A New Tool for Plasma Membrane Sub-cellular Proteomic -- Lipid Raft Proteomics: More than Just Detergent-Resistant Membranes -- Organelle Subproteomes -- Organelle Proteome Variation Among Different Cell Types: Lessons from Nuclear Membrane Proteins -- Synaptosome Proteomics -- Proteomic Analysis of Secreted Exosomes -- Characterization of Supramolecular Protein Complexes -- From Protein—Protein Complexes to Interactomics -- Supramolecular Signalling Complexes in the Nervous System -- Protein Networks and Complexes in Photoreceptor Cilia -- Subcellular Systems Biology -- Systems Biology and the Reconstruction of the Cell: From Molecular Components to Integral Function -- Automated, Systematic Determination of Protein Subcellular Location using Fluorescence Microscopy -- Systems Biology of the Endoplasmic Reticulum Stress Response -- Emerging Technologies in Proteomics -- Systems Nanobiology: From Quantitative Single Molecule Biophysics to Microfluidic-Based Single Cell Analysis -- Biophotonics Applied to Proteomics -- Differential Epitope Identification of Antibodies Against Intracellular Domains of Alzheimer's Amyloid Precursor Protein Using High Resolution Affinity-mass Spectrometry -- LC-MALDI MS and MS/MS — An Efficient Tool in Proteome Analysis.
520 _aThis volume summarizes the new developments that made subcellular proteomics a rapidly expanding area. Recent success stories demonstrated that the combination of subcellular prefractionation methods with proteomic analysis is a very potent approach to simplify complex protein extracts from cells or tissues and to detect low abundance proteins. It also made clear that sophisticated strategies encompassing sample preparation, analytics and validation steps were required to fully exploit the potential of subcellular proteomics. Three sections are devoted to the different levels of subcellular organization and their specific methodologies. This is completed by a section on systems biology that deals with the integration of the data derived from these different levels to produce a synthetic description of the cell as a system. A survey of the most advanced technical developments in proteomics is also included, which covers single cell analysis methods, molecular imaging and LC-MALDI. Written by a panel of leading experts in the field, this book represents an unprecedented attempt to reflect state-of-the-art methodology and also to convey both the mode of thinking and the hype of this discipline. This volume should appeal not only to experts in the field and to researchers in disciplines such as cell biology or biochemistry but also to newcomers who wish to learn about the proteomic analysis of subcellular structures. Lastly, it can also serve as a reference guide for teachers, advanced undergraduates and graduate students desiring to learn more about this challenging field.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aFaupel, Michel.
_eeditor.
_9309259
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781402059421
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4020-5943-8
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c282488
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