Literature DB >> 31056257

Quantitative proteomic study of arsenic treated mouse liver sinusoidal endothelial cells using a reverse super-SILAC method.

Wenbo Li1, Jiyang Zhang2, Yongzhuang Lv3, Nader Sheibani4.   

Abstract

Liver sinusoidal endothelial cells are the border patrol in the liver. Their open transcellular fenestrations allow the transfer of small and dissolved substances from the blood into the liver parenchymal cells. Fenestrations are dynamic structures, and many drugs and diseases alter their size and number, thus making them an important target for modulation. There is an urgent need to understand how various diseases, toxic substances, and physiological conditions influence liver endothelial cell fenestrations, and how these changes affects liver function. This work represents a straightforward quantitative proteomics study of the in vivo arsenic-stressed liver sinusoidal endothelial cells using a reverse super-SILAC based method. The aim of this study was to identify proteins, which are up- or down-regulated in response to arsenic. This knowledge will aid in identification of potential targets and mechanisms of arsenic toxicity and novel ways to reverse these changes.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Arsenic; Mass spectrometry; Mouse liver sinusoidal endothelial cell; Proteomics; Super-SILAC

Mesh:

Substances:

Year:  2019        PMID: 31056257      PMCID: PMC6924266          DOI: 10.1016/j.bbrc.2019.04.172

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  18 in total

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Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Super-SILAC mix for quantitative proteomics of human tumor tissue.

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Journal:  Nat Methods       Date:  2010-04-04       Impact factor: 28.547

3.  Improving the sensitivity of MASCOT search results validation by combining new features with Bayesian nonparametric model.

Authors:  Jie Ma; Jiyang Zhang; Songfeng Wu; Dong Li; Yunping Zhu; Fuchu He
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

4.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

5.  Arsenic stimulates sinusoidal endothelial cell capillarization and vessel remodeling in mouse liver.

Authors:  Adam C Straub; Donna B Stolz; Mark A Ross; Araceli Hernández-Zavala; Nicole V Soucy; Linda R Klei; Aaron Barchowsky
Journal:  Hepatology       Date:  2007-01       Impact factor: 17.425

Review 6.  Hedgehog signaling in cholangiocytes.

Authors:  Alessia Omenetti; Anna Mae Diehl
Journal:  Curr Opin Gastroenterol       Date:  2011-05       Impact factor: 3.287

7.  Role of differentiation of liver sinusoidal endothelial cells in progression and regression of hepatic fibrosis in rats.

Authors:  Guanhua Xie; Xiangdong Wang; Lei Wang; Lin Wang; Roscoe D Atkinson; Gary C Kanel; William A Gaarde; Laurie D Deleve
Journal:  Gastroenterology       Date:  2011-12-16       Impact factor: 22.682

8.  SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function.

Authors:  Marcus Krüger; Markus Moser; Siegfried Ussar; Ingo Thievessen; Christian A Luber; Francesca Forner; Sarah Schmidt; Sara Zanivan; Reinhard Fässler; Matthias Mann
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

9.  Sinusoidal endothelial cells prevent rat stellate cell activation and promote reversion to quiescence.

Authors:  Laurie D Deleve; Xiangdong Wang; Yumei Guo
Journal:  Hepatology       Date:  2008-09       Impact factor: 17.425

10.  Three-dimensional visualization of arsenic stimulated mouse liver sinusoidal by FIB-SEM approach.

Authors:  Wenbo Li; Wei Ding; Gang Ji; Li Wang; Jianguo Zhang; Fei Sun
Journal:  Protein Cell       Date:  2016-03       Impact factor: 14.870

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