Annotation and target analysis of human endogenous retroviruses

Background Endogenous retroviruses (ERVs) are important regulatory elements in the human genome. They are involved in the regulation of host gene expression and disease progression through long terminal repeats (LTR) and coding domains (gag, pol, env). Methods Based on the implicit Markov model, this study integrated LTRharvest and LTRdigest software, combined with 55 ERV-related protein domain databases, systematically annotated ERVs elements in the human genome (GRCh38.p14), and analyzed their potential targets and functions by using STRING, GO and KEGG. Results A total of 47,666 HERVs candidate sequences (11.05% of the genome) were identified in this study, of which 605 were complete structures, mainly concentrated in chromosomes 1 and 3. It was found that env accounted for the least among the three protein structures. Potential target genes in the upstream and downstream 20kb range of LTR were screened, and core targets such as histone family genes H4C6 and H2BC12 and immune-related genes TLR2 and CCR5 were found to be involved in disease regulation through chromatin remodeling or immune pathways. Enrichment results were significantly associated with nucleosome assembly, innate immune response, and cancer-related pathways (herpes simplex virus infection, systemic lupus erythematosus). Conclusion This study constructed a comprehensive HERVs annotated database, revealing the potential regulatory ability of LTR, providing a theoretical basis for the application of HERVs in cancer, autoimmune diseases and evolutionary research, and laying a foundation for the development of targeted therapy strategies.

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Publication Details

Journal
iCell
Published
2024-11-01
DOI
https://doi.org/10.71373/pvsc2027
Citations
1
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
0.60
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article

Annotation and target analysis of human endogenous retroviruses

Yuxiao He, Boying Liang, Tengyue Yan, Chunlan Jiang et al.
1 citations
iCell
Chromosomal and Genetic Variations
0.60
article

Annotation and target analysis of human endogenous retroviruses

Yuxiao He, Boying Liang, Tengyue Yan, Chunlan Jiang, Xuanyu Pan, Huilin Wei, Jianping Zhou, Yanling Hu, Li Wen, Qiuxia Meng, Tao Lyu
article en
1 citations

Abstract

Background Endogenous retroviruses (ERVs) are important regulatory elements in the human genome. They are involved in the regulation of host gene expression and disease progression through long terminal repeats (LTR) and coding domains (gag, pol, env). Methods Based on the implicit Markov model, this study integrated LTRharvest and LTRdigest software, combined with 55 ERV-related protein domain databases, systematically annotated ERVs elements in the human genome (GRCh38.p14), and analyzed their potential targets and functions by using STRING, GO and KEGG. Results A total of 47,666 HERVs candidate sequences (11.05% of the genome) were identified in this study, of which 605 were complete structures, mainly concentrated in chromosomes 1 and 3. It was found that env accounted for the least among the three protein structures. Potential target genes in the upstream and downstream 20kb range of LTR were screened, and core targets such as histone family genes H4C6 and H2BC12 and immune-related genes TLR2 and CCR5 were found to be involved in disease regulation through chromatin remodeling or immune pathways. Enrichment results were significantly associated with nucleosome assembly, innate immune response, and cancer-related pathways (herpes simplex virus infection, systemic lupus erythematosus). Conclusion This study constructed a comprehensive HERVs annotated database, revealing the potential regulatory ability of LTR, providing a theoretical basis for the application of HERVs in cancer, autoimmune diseases and evolutionary research, and laying a foundation for the development of targeted therapy strategies.

iCell
Openalex Percentile: Top 19%
Chromosomal and Genetic Variations
0.60
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Annotation and target analysis of human endogenous retroviruses — Yuxiao He, Boying Liang, et al. · iCell (2024) | TGRS Research Map | TGRS