Literature DB >> 32025760

Identification and evaluation of hub mRNAs and long non-coding RNAs in neutrophils during sepsis.

Jiamin Huang1, Ran Sun1, Bingwei Sun2.   

Abstract

OBJECTIVE: To reveal the systematic response of neutrophils to sepsis and to study the hub lncRNAs in sepsis.
MATERIALS AND METHODS: Neutrophils taken from the femur and tibia of male C57 BL/6 mice were used in this study. And neutrophils were treated for 0 h, 0.5 h, 1 h, and 4 h with or without 1 µg/mL lipopolysaccharide (LPS) for further chip detection. In addition, cecal ligation and perforation were used to simulate sepsis. Here, we used different bioinformatics analyses, including differential expression analysis, weighted gene co-expression network analysis (WGCNA), and gene regulatory network analysis, to analyze the systemic response of neutrophils to sepsis.
RESULTS: We identified nine modules and found hub lncRNAs in each module. The blue and pink modules were closely related to the inflammatory state of sepsis. Some hub lncRNAs (NONMMUT005259, KnowTID_00004196, and NR_003507) may have functions related to the inflammatory state in sepsis.
CONCLUSIONS: Based on a new biological approach, our research results revealed the systemic-level response of neutrophils to sepsis and identified several hub lncRNAs with potential regulatory effects on this condition.

Entities:  

Keywords:  Hub gene; Network analysis; Neutrophils; Sepsis; lncRNA

Year:  2020        PMID: 32025760     DOI: 10.1007/s00011-020-01323-3

Source DB:  PubMed          Journal:  Inflamm Res        ISSN: 1023-3830            Impact factor:   4.575


  40 in total

Review 1.  Unique features of long non-coding RNA biogenesis and function.

Authors:  Jeffrey J Quinn; Howard Y Chang
Journal:  Nat Rev Genet       Date:  2016-01       Impact factor: 53.242

Review 2.  IRF7: activation, regulation, modification and function.

Authors:  S Ning; J S Pagano; G N Barber
Journal:  Genes Immun       Date:  2011-04-14       Impact factor: 2.676

Review 3.  The noncanonical NF-κB pathway.

Authors:  Shao-Cong Sun
Journal:  Immunol Rev       Date:  2012-03       Impact factor: 12.988

Review 4.  Advances in the understanding and treatment of sepsis-induced immunosuppression.

Authors:  Fabienne Venet; Guillaume Monneret
Journal:  Nat Rev Nephrol       Date:  2017-12-11       Impact factor: 28.314

5.  Identification of Key Gene Modules in Human Osteosarcoma by Co-Expression Analysis Weighted Gene Co-Expression Network Analysis (WGCNA).

Authors:  Xiangsheng Liu; Ai-Xin Hu; Jia-Li Zhao; Feng-Li Chen
Journal:  J Cell Biochem       Date:  2017-05-23       Impact factor: 4.429

Review 6.  Mechanisms and treatment of organ failure in sepsis.

Authors:  Christophe Lelubre; Jean-Louis Vincent
Journal:  Nat Rev Nephrol       Date:  2018-07       Impact factor: 28.314

7.  New strategy for sepsis: Targeting a key role of platelet-neutrophil interaction.

Authors:  Xu Wang; Weiting Qin; Bingwei Sun
Journal:  Burns Trauma       Date:  2014-07-28

8.  Network analysis of psoriasis reveals biological pathways and roles for coding and long non-coding RNAs.

Authors:  Richard Ahn; Rashmi Gupta; Kevin Lai; Nitin Chopra; Sarah T Arron; Wilson Liao
Journal:  BMC Genomics       Date:  2016-10-28       Impact factor: 3.969

Review 9.  The role of neutrophils in immune dysfunction during severe inflammation.

Authors:  Pieter H C Leliefeld; Catharina M Wessels; Luke P H Leenen; Leo Koenderman; Janesh Pillay
Journal:  Crit Care       Date:  2016-03-23       Impact factor: 9.097

10.  Network analysis of inflammatory responses to sepsis by neutrophils and peripheral blood mononuclear cells.

Authors:  Rasoul Godini; Hossein Fallahi; Esmaeil Ebrahimie
Journal:  PLoS One       Date:  2018-08-07       Impact factor: 3.240

View more
  2 in total

1.  Gene correlation network analysis to identify regulatory factors in sepsis.

Authors:  Zhongheng Zhang; Lin Chen; Ping Xu; Lifeng Xing; Yucai Hong; Pengpeng Chen
Journal:  J Transl Med       Date:  2020-10-08       Impact factor: 5.531

2.  Identification of a novel four-gene diagnostic signature for patients with sepsis by integrating weighted gene co-expression network analysis and support vector machine algorithm.

Authors:  Mingliang Li; He Huang; Chunlian Ke; Lei Tan; Jiezhong Wu; Shilei Xu; Xusheng Tu
Journal:  Hereditas       Date:  2022-02-21       Impact factor: 3.271

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.