Literature DB >> 34733481

Proteomic characteristics of beryllium sulfate-induced differentially expressed proteins in rats.

Kai Zheng1, Ying Cai1, Yuandi Lei1, Yanping Liu1, Zhanbing Sun1, Ye Wang1, Xinyun Xu2, Zhaohui Zhang1.   

Abstract

Sprague Dawley rats were exposed to beryllium sulfate (BeSO4), and proteomic and bioinformatic techniques were applied to screen for differentially expressed proteins in their lung tissue and serum. A total of 12 coexpression modules were constructed for 18 samples with 2333 proteins. Four modules were found to have significant differences in the regulation of protein coexpression modules in the serum following exposure to BeSO4. A further three modules had significant differences in the regulation of protein coexpression modules in the lung tissues. Five modules with good correlation were obtained by calculating the gene significance and module membership values, whereas these module Hub proteins included: Hspbp1, Rps15a, Srsf2, Hadhb, Elmo3, Armt1, Rpl18, Afap1L1, Eif3d, Eif3c, and Rps3. The five proteins correlating highest with the Hub proteins in the lung tissue and serum samples were obtained using string analysis. KEGG and GO enrichment analyses showed that these proteins are mainly involved in ribosome formation, apoptosis, cell cycle regulation, and tumor necrosis factor regulation. By analyzing the biological functions of these proteins, proteins that can be used as biomarkers, such as Akt1, Prpf19, Cct2, and Rpl18, are finally obtained.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  beryllium sulfate; bioinformatics; biomarkers; differentially expressed proteins; proteomics

Year:  2021        PMID: 34733481      PMCID: PMC8557661          DOI: 10.1093/toxres/tfab051

Source DB:  PubMed          Journal:  Toxicol Res (Camb)        ISSN: 2045-452X            Impact factor:   2.680


  37 in total

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Journal:  Am J Respir Crit Care Med       Date:  2014-11-15       Impact factor: 21.405

Review 3.  T cell recognition in chronic beryllium disease.

Authors:  Massimo Amicosante; Andrew P Fontenot
Journal:  Clin Immunol       Date:  2006-05-12       Impact factor: 3.969

Review 4.  Oxidative stress and metal carcinogenesis.

Authors:  Jeong-Chae Lee; Young-Ok Son; Poyil Pratheeshkumar; Xianglin Shi
Journal:  Free Radic Biol Med       Date:  2012-06-15       Impact factor: 7.376

Review 5.  Respiratory epithelial cells orchestrate pulmonary innate immunity.

Authors:  Jeffrey A Whitsett; Theresa Alenghat
Journal:  Nat Immunol       Date:  2015-01       Impact factor: 25.606

6.  AKT1 Activation Promotes Development of Melanoma Metastases.

Authors:  Joseph H Cho; James P Robinson; Rowan A Arave; William J Burnett; David A Kircher; Guo Chen; Michael A Davies; Allie H Grossmann; Matthew W VanBrocklin; Martin McMahon; Sheri L Holmen
Journal:  Cell Rep       Date:  2015-10-22       Impact factor: 9.423

7.  Proteomic study of differential protein expression in mouse lung tissues after aerosolized ricin poisoning.

Authors:  Zhendong Guo; Chao Han; Jiajun Du; Siyan Zhao; Yingying Fu; Guanyu Zheng; Yucheng Sun; Yi Zhang; Wensen Liu; Jiayu Wan; Jun Qian; Linna Liu
Journal:  Int J Mol Sci       Date:  2014-04-28       Impact factor: 5.923

8.  Targeting chaperonin containing TCP1 (CCT) as a molecular therapeutic for small cell lung cancer.

Authors:  Ana C Carr; Amr S Khaled; Rania Bassiouni; Orielyz Flores; Daniel Nierenberg; Hammad Bhatti; Priya Vishnubhotla; J Perez Manuel; Santimukul Santra; Annette R Khaled
Journal:  Oncotarget       Date:  2017-11-25

9.  Proteomics-Based Identification and Analysis of Proteins Associated with Helicobacter pylori in Gastric Cancer.

Authors:  Jianjiang Zhou; Wenling Wang; Yuan Xie; Yan Zhao; Xian Chen; Wenjie Xu; Yan Wang; Zhizhong Guan
Journal:  PLoS One       Date:  2016-01-08       Impact factor: 3.240

10.  Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice.

Authors:  Baiyang Yu; Jianbin Liu; Di Wu; Ying Liu; Weijian Cen; Shaokui Wang; Rongbai Li; Jijing Luo
Journal:  BMC Plant Biol       Date:  2020-10-20       Impact factor: 4.215

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