Literature DB >> 18636545

Mass spectrometry in systems biology: an overview.

Xiaojun Feng1, Xin Liu, Qingming Luo, Bi-Feng Liu.   

Abstract

As an emerging field, systems biology is currently the talk of the town, which challenges our philosophy in comprehending biology. Instead of the reduction approach advocated in molecular biology, systems biology aims at systems-level understanding of correlations among molecular components. Such comprehensive investigation requires massive information from the "omics" cascade demanding high-throughput screening techniques. Being one of the most versatile analytical methods, mass spectrometry has already been playing a significant role at this early stage of systems biology. In this review, we documented the advances in modern mass spectrometry technologies as well as nascent inventions. Recent applications of mass spectrometry-based techniques and methodologies in genomics, proteomics, transcriptomics and metabolomics will be further elaborated individually. Undoubtedly, more applications of mass spectrometry in systems biology can be expected in the near future. Copyright 2008 Wiley Periodicals, Inc.

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Year:  2008        PMID: 18636545     DOI: 10.1002/mas.20182

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  23 in total

1.  Discovery of mouse spleen signaling responses to anthrax using label-free quantitative phosphoproteomics via mass spectrometry.

Authors:  Nathan P Manes; Li Dong; Weidong Zhou; Xiuxia Du; Nikitha Reghu; Arjan C Kool; Dahan Choi; Charles L Bailey; Emanuel F Petricoin; Lance A Liotta; Serguei G Popov
Journal:  Mol Cell Proteomics       Date:  2010-12-28       Impact factor: 5.911

Review 2.  Metabolomics in pediatric nephrology: emerging concepts.

Authors:  Mina H Hanna; Patrick D Brophy
Journal:  Pediatr Nephrol       Date:  2014-07-17       Impact factor: 3.714

Review 3.  Urinary proteomics as a novel tool for biomarker discovery in kidney diseases.

Authors:  Jing Wu; Yi-ding Chen; Wei Gu
Journal:  J Zhejiang Univ Sci B       Date:  2010-04       Impact factor: 3.066

4.  Semi-quantitative analysis of changes in the plasma peptidome of Manduca sexta larvae and their correlation with the transcriptome variations upon immune challenge.

Authors:  Shuguang Zhang; Xiaolong Cao; Yan He; Steve Hartson; Haobo Jiang
Journal:  Insect Biochem Mol Biol       Date:  2014-02-22       Impact factor: 4.714

5.  Towards the Analysis of High Molecular Weight Proteins and Protein complexes using TIMS-MS.

Authors:  Paolo Benigni; Rebecca Marin; Juan Camilo Molano-Arevalo; Alyssa Garabedian; Jeremy J Wolff; Mark E Ridgeway; Melvin A Park; Francisco Fernandez-Lima
Journal:  Int J Ion Mobil Spectrom       Date:  2016-06-07

6.  Advanced Multidimensional Separations in Mass Spectrometry: Navigating the Big Data Deluge.

Authors:  Jody C May; John A McLean
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2016-03-30       Impact factor: 10.745

7.  Assessing the quality and reproducibility of a proteomic platform for clinical stroke biomarker discovery.

Authors:  Ediri Sideso; Michalis Papadakis; Cynthia Wright; Ashok Handa; Alastair Buchan; Benedikt Kessler; James Kennedy
Journal:  Transl Stroke Res       Date:  2010-08-14       Impact factor: 6.829

Review 8.  Systems biology coupled with label-free high-throughput detection as a novel approach for diagnosis of chronic obstructive pulmonary disease.

Authors:  Joanna L Richens; Richard A Urbanowicz; Elizabeth A M Lunt; Rebecca Metcalf; Jonathan Corne; Lucy Fairclough; Paul O'Shea
Journal:  Respir Res       Date:  2009-04-22

Review 9.  Coordinated regulation of the metabolome and lipidome at the host-microbial interface.

Authors:  Fredrik Bäckhed; Peter A Crawford
Journal:  Biochim Biophys Acta       Date:  2009-09-24

10.  Metabolomics: moving towards personalized medicine.

Authors:  Eugenio Baraldi; Silvia Carraro; Giuseppe Giordano; Fabiano Reniero; Giorgio Perilongo; Franco Zacchello
Journal:  Ital J Pediatr       Date:  2009-10-23       Impact factor: 2.638

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