Literature DB >> 27412720

Proteomics of hydrophobic samples: Fast, robust and low-cost workflows for clinical approaches.

Yvonne Pasing1,2, Sayda Colnoe3, Terkel Hansen3.   

Abstract

In a comparative study, we investigated the influence of nine sample preparation workflows and seven different lysis buffers for qualitative and quantitative analysis of the human adipose tissue proteome. Adipose tissue is not just a fat depot but also an endocrine organ, which cross-talks with other tissue types and organs throughout the body, like liver, muscle, pancreas, and brain. Its secreted molecules have an influence on the nervous, immune, and vascular system, thus adipose tissue plays an important role in the regulation of whole-body homeostasis. Proteomic analysis of adipose tissue is challenging due to the extremely high lipid content and a variety of different cell types included. We investigated the influence of different detergents to the lysis buffer and compared commonly used methods like protein precipitation and filter-aided sample preparation (FASP) with workflows involving acid labile or precipitable surfactants. The results indicate that a sodium deoxycholate (SDC) based workflow had the highest efficiency and reproducibility for quantitative proteomic analysis. In total 2564 proteins from the adipose tissue of a single person were identified.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Adipose tissue proteome; Biomedicine; Detergents; RapiGest; Sample preparation; Sodium deoxycholate

Mesh:

Substances:

Year:  2016        PMID: 27412720     DOI: 10.1002/pmic.201500462

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  6 in total

1.  Quantitative proteomic analysis of murine white adipose tissue for peritoneal cancer metastasis.

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2.  Downregulation of miR-122-5p Activates Glycolysis via PKM2 in Kupffer Cells of Rat and Mouse Models of Non-Alcoholic Steatohepatitis.

Authors:  Yosuke Inomata; Jae-Won Oh; Kohei Taniguchi; Nobuhiko Sugito; Nao Kawaguchi; Fumitoshi Hirokawa; Sang-Woong Lee; Yukihiro Akao; Shinji Takai; Kwang-Pyo Kim; Kazuhisa Uchiyama
Journal:  Int J Mol Sci       Date:  2022-05-07       Impact factor: 6.208

3.  Evaluation of six sample preparation procedures for qualitative and quantitative proteomics analysis of milk fat globule membrane.

Authors:  Yongxin Yang; Elizabeth Anderson; Sheng Zhang
Journal:  Electrophoresis       Date:  2018-04-25       Impact factor: 3.535

4.  Development and validation of protein biomarkers of health in grizzly bears.

Authors:  Abbey E Wilson; Sarah A Michaud; Angela M Jackson; Gordon Stenhouse; Nicholas C Coops; David M Janz
Journal:  Conserv Physiol       Date:  2020-06-24       Impact factor: 3.079

5.  Evaluation of Fast and Sensitive Proteome Profiling of FF and FFPE Kidney Patient Tissues.

Authors:  Irena Dapic; Naomi Uwugiaren; Jesper Kers; Yassene Mohammed; David R Goodlett; Garry Corthals
Journal:  Molecules       Date:  2022-02-08       Impact factor: 4.411

6.  A sample preparation workflow for adipose tissue shotgun proteomics and proteogenomics.

Authors:  Jane I Khudyakov; Jared S Deyarmin; Ryan M Hekman; Laura Pujade Busqueta; Rasool Maan; Melony J Mody; Reeti Banerjee; Daniel E Crocker; Cory D Champagne
Journal:  Biol Open       Date:  2018-11-19       Impact factor: 2.422

  6 in total

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