Literature DB >> 32138562

Advances in applying of multi-omics approaches in the research of systemic lupus erythematosus.

Wencong Song1, Donge Tang1, Deheng Chen1, Fengping Zheng1, Shaoying Huang1, Yong Xu1, Haiyan Yu1, Jingquan He1, Xiaoping Hong1, Lianghong Yin2, Dongzhou Liu1, Weier Dai3, Yong Dai1.   

Abstract

Systemic lupus erythematosus (SLE), an autoimmune disease that causes multiorgan injury, has an unclear etiology and complex pathogenesis. Numerous studies have found abnormal alterations in mRNAs, proteins and/or metabolites in SLE patients. These findings have extended our understanding of the pathogenesis of SLE. Novel omics techniques, such as transcriptome, proteome and metabolome profiling, can identify and quantify large numbers of biomarkers of human diseases. However, in most cases, biological reactions are the consequences of interactions among genes, proteomes, and metabolites. Single biomolecules or signaling pathways cannot fully explain biological traits or functions. Therefore, integrative multi-omics analysis can help us systematically comprehend the intrinsic molecular mechanisms underlying biological function and pathogenesis. Integrating transcriptome, proteome, and metabolome KEGG enrichment analysis data will expand our knowledge of the pathogenesis of SLE. This review discusses the application, research progress and outlook on integrative multi-omics analysis in SLE research.

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Keywords:  Integrative analysis; multi-omics; systemic lupus erythematosus

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Year:  2020        PMID: 32138562     DOI: 10.1080/08830185.2020.1736058

Source DB:  PubMed          Journal:  Int Rev Immunol        ISSN: 0883-0185            Impact factor:   5.311


  1 in total

1.  Triglycerides as Biomarker for Predicting Systemic Lupus Erythematosus Related Kidney Injury of Negative Proteinuria.

Authors:  Mingjun Si; Danyang Li; Ting Liu; Yuanyan Cai; Jingyu Yang; Lili Jiang; Haitao Yu
Journal:  Biomolecules       Date:  2022-07-05
  1 in total

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