Literature DB >> 27098501

Reproducible Tissue Homogenization and Protein Extraction for Quantitative Proteomics Using MicroPestle-Assisted Pressure-Cycling Technology.

Shiying Shao1,2, Tiannan Guo1, Vera Gross3, Alexander Lazarev3, Ching Chiek Koh1, Silke Gillessen, Markus Joerger, Wolfram Jochum, Ruedi Aebersold1,4.   

Abstract

The reproducible and efficient extraction of proteins from biopsy samples for quantitative analysis is a critical step in biomarker and translational research. Recently, we described a method consisting of pressure-cycling technology (PCT) and sequential windowed acquisition of all theoretical fragment ions-mass spectrometry (SWATH-MS) for the rapid quantification of thousands of proteins from biopsy-size tissue samples. As an improvement of the method, we have incorporated the PCT-MicroPestle into the PCT-SWATH workflow. The PCT-MicroPestle is a novel, miniaturized, disposable mechanical tissue homogenizer that fits directly into the microTube sample container. We optimized the pressure-cycling conditions for tissue lysis with the PCT-MicroPestle and benchmarked the performance of the system against the conventional PCT-MicroCap method using mouse liver, heart, brain, and human kidney tissues as test samples. The data indicate that the digestion of the PCT-MicroPestle-extracted proteins yielded 20-40% more MS-ready peptide mass from all tissues tested with a comparable reproducibility when compared to the conventional PCT method. Subsequent SWATH-MS analysis identified a higher number of biologically informative proteins from a given sample. In conclusion, we have developed a new device that can be seamlessly integrated into the PCT-SWATH workflow, leading to increased sample throughput and improved reproducibility at both the protein extraction and proteomic analysis levels when applied to the quantitative proteomic analysis of biopsy-level samples.

Entities:  

Keywords:  PCT-MicroCap; PCT-MicroPestle; SWATH; mass spectrometry; pressure-cycling technology

Mesh:

Substances:

Year:  2016        PMID: 27098501     DOI: 10.1021/acs.jproteome.5b01136

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

Review 1.  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

2.  Proteomics reveals Rictor as a noncanonical TGF-β signaling target during aneurysm progression in Marfan mice.

Authors:  Sarah J Parker; Aleksandr Stotland; Elena MacFarlane; Nicole Wilson; Amanda Orosco; Vidya Venkatraman; Kyle Madrid; Roberta Gottlieb; Harry C Dietz; Jennifer E Van Eyk
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-07-13       Impact factor: 4.733

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.  The MHC Class II Immunopeptidome of Lymph Nodes in Health and in Chemically Induced Colitis.

Authors:  Tim Fugmann; Adriana Sofron; Danilo Ritz; Franziska Bootz; Dario Neri
Journal:  J Immunol       Date:  2016-12-23       Impact factor: 5.422

5.  Determination of Coenzyme A and Acetyl-Coenzyme A in Biological Samples Using HPLC with UV Detection.

Authors:  Yevgeniya I Shurubor; Marilena D'Aurelio; Joanne Clark-Matott; Elena P Isakova; Yulia I Deryabina; M Flint Beal; Arthur J L Cooper; Boris F Krasnikov
Journal:  Molecules       Date:  2017-08-23       Impact factor: 4.411

6.  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

7.  Differential Protein Expression in Striatal D1- and D2-Dopamine Receptor-Expressing Medium Spiny Neurons.

Authors:  M Shahid Mansuri; Gang Peng; Rashaun S Wilson; TuKiet T Lam; Hongyu Zhao; Kenneth R Williams; Angus C Nairn
Journal:  Proteomes       Date:  2020-10-13

8.  High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification.

Authors:  Yi Zhu; Tobias Weiss; Qiushi Zhang; Rui Sun; Bo Wang; Xiao Yi; Zhicheng Wu; Huanhuan Gao; Xue Cai; Guan Ruan; Tiansheng Zhu; Chao Xu; Sai Lou; Xiaoyan Yu; Ludovic Gillet; Peter Blattmann; Karim Saba; Christian D Fankhauser; Michael B Schmid; Dorothea Rutishauser; Jelena Ljubicic; Ailsa Christiansen; Christine Fritz; Niels J Rupp; Cedric Poyet; Elisabeth Rushing; Michael Weller; Patrick Roth; Eugenia Haralambieva; Silvia Hofer; Chen Chen; Wolfram Jochum; Xiaofei Gao; Xiaodong Teng; Lirong Chen; Qing Zhong; Peter J Wild; Ruedi Aebersold; Tiannan Guo
Journal:  Mol Oncol       Date:  2019-09-18       Impact factor: 6.603

9.  Proteomics Reveals Distinct Changes Associated with Increased Gamma Radiation Resistance in the Black Yeast Exophiala dermatitidis.

Authors:  Zachary S Schultzhaus; Janna N Schultzhaus; Jillian Romsdahl; Amy Chen; W Judson Hervey Iv; Dagmar H Leary; Zheng Wang
Journal:  Genes (Basel)       Date:  2020-09-25       Impact factor: 4.096

10.  Convergent network effects along the axis of gene expression during prostate cancer progression.

Authors:  Konstantina Charmpi; Tiannan Guo; Qing Zhong; Ulrich Wagner; Rui Sun; Nora C Toussaint; Christine E Fritz; Chunhui Yuan; Hao Chen; Niels J Rupp; Ailsa Christiansen; Dorothea Rutishauser; Jan H Rüschoff; Christian Fankhauser; Karim Saba; Cedric Poyet; Thomas Hermanns; Kathrin Oehl; Ariane L Moore; Christian Beisel; Laurence Calzone; Loredana Martignetti; Qiushi Zhang; Yi Zhu; María Rodríguez Martínez; Matteo Manica; Michael C Haffner; Ruedi Aebersold; Peter J Wild; Andreas Beyer
Journal:  Genome Biol       Date:  2020-12-14       Impact factor: 17.906

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