Literature DB >> 22498958

Mass spectrometry-based proteomics: existing capabilities and future directions.

Thomas E Angel1, Uma K Aryal, Shawna M Hengel, Erin S Baker, Ryan T Kelly, Errol W Robinson, Richard D Smith.   

Abstract

Mass spectrometry (MS)-based proteomics is emerging as a broadly effective means for identification, characterization, and quantification of proteins that are integral components of the processes essential for life. Characterization of proteins at the proteome and sub-proteome (e.g., the phosphoproteome, proteoglycome, or degradome/peptidome) levels provides a foundation for understanding fundamental aspects of biology. Emerging technologies such as ion mobility separations coupled with MS and microchip-based-proteome measurements combined with MS instrumentation and chromatographic separation techniques, such as nanoscale reversed phase liquid chromatography and capillary electrophoresis, show great promise for both broad undirected and targeted highly sensitive measurements. MS-based proteomics increasingly contribute to our understanding of the dynamics, interactions, and roles that proteins and peptides play, advancing our understanding of biology on a systems wide level for a wide range of applications including investigations of microbial communities, bioremediation, and human health.

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Year:  2012        PMID: 22498958      PMCID: PMC3375054          DOI: 10.1039/c2cs15331a

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  90 in total

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Journal:  Nat Cell Biol       Date:  2002-05       Impact factor: 28.824

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Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

Review 3.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

Review 4.  Ubiquitin and ubiquitin-like proteins as multifunctional signals.

Authors:  Rebecca L Welchman; Colin Gordon; R John Mayer
Journal:  Nat Rev Mol Cell Biol       Date:  2005-08       Impact factor: 94.444

5.  DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.

Authors:  Vladislav A Petyuk; Anoop M Mayampurath; Matthew E Monroe; Ashoka D Polpitiya; Samuel O Purvine; Gordon A Anderson; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

Review 6.  A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.

Authors:  Alexey I Nesvizhskii
Journal:  J Proteomics       Date:  2010-09-08       Impact factor: 4.044

7.  Ultrasensitive nanoelectrospray ionization-mass spectrometry using poly(dimethylsiloxane) microchips with monolithically integrated emitters.

Authors:  Xuefei Sun; Ryan T Kelly; Keqi Tang; Richard D Smith
Journal:  Analyst       Date:  2010-07-09       Impact factor: 4.616

8.  Filaggrin in the frontline: role in skin barrier function and disease.

Authors:  Aileen Sandilands; Calum Sutherland; Alan D Irvine; W H Irwin McLean
Journal:  J Cell Sci       Date:  2009-05-01       Impact factor: 5.285

9.  Achieving 50% ionization efficiency in subambient pressure ionization with nanoelectrospray.

Authors:  Ioan Marginean; Jason S Page; Aleksey V Tolmachev; Keqi Tang; Richard D Smith
Journal:  Anal Chem       Date:  2010-10-28       Impact factor: 6.986

10.  Dilution-free analysis from picoliter droplets by nano-electrospray ionization mass spectrometry.

Authors:  Ryan T Kelly; Jason S Page; Ioan Marginean; Keqi Tang; Richard D Smith
Journal:  Angew Chem Int Ed Engl       Date:  2009       Impact factor: 15.336

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  81 in total

1.  Mass sensing: Optomechanics to the rescue.

Authors:  Javier Tamayo
Journal:  Nat Nanotechnol       Date:  2015-09       Impact factor: 39.213

2.  Label-Free Relative Quantitation of Isobaric and Isomeric Human Histone H2A and H2B Variants by Fourier Transform Ion Cyclotron Resonance Top-Down MS/MS.

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Journal:  J Proteome Res       Date:  2016-08-03       Impact factor: 4.466

3.  EnvCNN: A Convolutional Neural Network Model for Evaluating Isotopic Envelopes in Top-Down Mass-Spectral Deconvolution.

Authors:  Abdul Rehman Basharat; Xia Ning; Xiaowen Liu
Journal:  Anal Chem       Date:  2020-05-13       Impact factor: 6.986

4.  Tandem mass spectroscopy in diagnosis and clinical research.

Authors:  Rama Devi Mittal
Journal:  Indian J Clin Biochem       Date:  2015-04

Review 5.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

Authors:  Eugene M Cilento; Lorrain Jin; Tessandra Stewart; Min Shi; Lifu Sheng; Jing Zhang
Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

Review 6.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

7.  Comparison of MALDI-TOF MS and AFLP for strain typing of ESBL-producing Escherichia coli.

Authors:  J Veenemans; M Welker; A van Belkum; M C Saccomani; V Girard; A Pettersson; C Verhulst; M Kluytmans-Vandenbergh; J Kluytmans
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-02-27       Impact factor: 3.267

Review 8.  New insight into neurodegeneration: the role of proteomics.

Authors:  Ramavati Pal; Guido Alves; Jan Petter Larsen; Simon Geir Møller
Journal:  Mol Neurobiol       Date:  2013-12-10       Impact factor: 5.590

9.  Stable isotope metabolic labeling-based quantitative phosphoproteomic analysis of Arabidopsis mutants reveals ethylene-regulated time-dependent phosphoproteins and putative substrates of constitutive triple response 1 kinase.

Authors:  Zhu Yang; Guangyu Guo; Manyu Zhang; Claire Y Liu; Qin Hu; Henry Lam; Han Cheng; Yu Xue; Jiayang Li; Ning Li
Journal:  Mol Cell Proteomics       Date:  2013-09-16       Impact factor: 5.911

Review 10.  The Use of Proteomics in Assisted Reproduction.

Authors:  Ioanna Kosteria; Athanasios K Anagnostopoulos; Christina Kanaka-Gantenbein; George P Chrousos; George T Tsangaris
Journal:  In Vivo       Date:  2017 May-Jun       Impact factor: 2.155

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