Literature DB >> 22639209

Pressure cycling technology in systems biology.

Bradford S Powell1, Alexander V Lazarev, Greta Carlson, Alexander R Ivanov, David A Rozak.   

Abstract

Systems biologists frequently seek to integrate complex data sets of diverse analytes into a comprehensive picture of an organism's biological state under defined environmental conditions. Although one would prefer to collect these data from the same sample, technical limitations with traditional sample preparation methods often commit the investigator to extracting one type of analyte at the expense of losing all others. Often, volume further constrains the range of experiments that can be collected from a single sample. The practical solution employed to date has been to rely on information collected from multiple replicate experiments and similar historical or reported data. While this approach has been popular, the integration of information collected from disparate single-analyte sample preparation streams increases uncertainty due to nonalignment during comparative analysis, and such gaps accumulate quickly when combining multiple data sets. Regrettably, discontinuities between separate data streams can confound a whole understanding of the biological system being investigated. This difficulty is further compounded for researchers handling highly pathogenic samples, in which it is often necessary to use harsh chemicals or high-energy sterilization procedures that damage the target analytes. Ultra-high pressure cycling technology (PCT), also known as barocycling, is an emerging sample preparation strategy that has distinct advantages for systems biology studies because it neither commits the researcher to pursuing a specific analyte nor leads to the degradation of target material. In fact, samples prepared under pressure cycling conditions have been shown to yield a more complete set of analytes due to uniform disruption of the sample matrix coupled with an advantageous high pressure solvent environment. Fortunately, PCT safely sterilizes and extracts complex or pathogenic viral, bacterial, and spore samples without adversely affecting the constituent biomolecules valued as informative and meaningful analytes. This chapter provides procedures and findings associated with incorporating PCT into systems biology as a new and enabling approach to preanalytical sample treatment.

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Year:  2012        PMID: 22639209     DOI: 10.1007/978-1-61779-827-6_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  Pressure-assisted sample preparation for proteomic analysis.

Authors:  Pawel P Olszowy; Ariel Burns; Pawel S Ciborowski
Journal:  Anal Biochem       Date:  2013-03-29       Impact factor: 3.365

Review 2.  High-throughput proteomic sample preparation using pressure cycling technology.

Authors:  Xue Cai; Zhangzhi Xue; Chunlong Wu; Rui Sun; Liujia Qian; Liang Yue; Weigang Ge; Xiao Yi; Wei Liu; Chen Chen; Huanhuan Gao; Jing Yu; Luang Xu; Yi Zhu; Tiannan Guo
Journal:  Nat Protoc       Date:  2022-08-05       Impact factor: 17.021

3.  Pressure Cycling Technology Assisted Mass Spectrometric Quantification of Gingival Tissue Reveals Proteome Dynamics during the Initiation and Progression of Inflammatory Periodontal Disease.

Authors:  Kai Bao; Xiaofei Li; Tetsuhiro Kajikawa; Abe Toshiharu; Nathalie Selevsek; Jonas Grossmann; George Hajishengallis; Nagihan Bostanci
Journal:  Proteomics       Date:  2020-01-15       Impact factor: 3.984

4.  Rapid and efficient filtration-based procedure for separation and safe analysis of CBRN mixed samples.

Authors:  Mostafa Bentahir; Frederic Laduron; Leonid Irenge; Jérôme Ambroise; Jean-Luc Gala
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

5.  Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps.

Authors:  Tiannan Guo; Petri Kouvonen; Ching Chiek Koh; Ludovic C Gillet; Witold E Wolski; Hannes L Röst; George Rosenberger; Ben C Collins; Lorenz C Blum; Silke Gillessen; Markus Joerger; Wolfram Jochum; Ruedi Aebersold
Journal:  Nat Med       Date:  2015-03-02       Impact factor: 53.440

6.  Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers.

Authors:  Tiannan Guo; Li Li; Qing Zhong; Niels J Rupp; Konstantina Charmpi; Christine E Wong; Ulrich Wagner; Jan H Rueschoff; Wolfram Jochum; Christian Daniel Fankhauser; Karim Saba; Cedric Poyet; Peter J Wild; Ruedi Aebersold; Andreas Beyer
Journal:  Life Sci Alliance       Date:  2018-05-29

7.  Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines.

Authors:  Tiannan Guo; Augustin Luna; Vinodh N Rajapakse; Ching Chiek Koh; Zhicheng Wu; Wei Liu; Yaoting Sun; Huanhuan Gao; Michael P Menden; Chao Xu; Laurence Calzone; Loredana Martignetti; Chiara Auwerx; Marija Buljan; Amir Banaei-Esfahani; Alessandro Ori; Murat Iskar; Ludovic Gillet; Ran Bi; Jiangnan Zhang; Huanhuan Zhang; Chenhuan Yu; Qing Zhong; Sudhir Varma; Uwe Schmitt; Peng Qiu; Qiushi Zhang; Yi Zhu; Peter J Wild; Mathew J Garnett; Peer Bork; Martin Beck; Kexin Liu; Julio Saez-Rodriguez; Fathi Elloumi; William C Reinhold; Chris Sander; Yves Pommier; Ruedi Aebersold
Journal:  iScience       Date:  2019-10-31

8.  An ultra-sensitive immunoassay for quantifying biomarkers in breast tumor tissue.

Authors:  Carol B Fowler; Yan-Gao Man; Jeffrey T Mason
Journal:  J Cancer       Date:  2014-01-05       Impact factor: 4.207

  8 in total

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