Editor's introduction to this issue (G&I 19:2, 2021).

Q2 Agricultural and Biological Sciences Genomics and Informatics Pub Date : 2021-06-01 Epub Date: 2021-06-30 DOI:10.5808/gi.19.2.e1
Taesung Park
{"title":"Editor's introduction to this issue (G&I 19:2, 2021).","authors":"Taesung Park","doi":"10.5808/gi.19.2.e1","DOIUrl":null,"url":null,"abstract":"In this issue, there are six original articles and one mini review. The first article by by Sohag et al. (Jagannath University, Bangladesh) provides a short review on omics approaches to cardiovascular diseases (CVDs). The author summarizes the genomics, proteomics, transcriptomics, and metabolomics in CVDs with a well-organized prospect. The first original article is about a protein interactions map of multiple organ systems associated with coronavirus disease 2019 (COVID-19) disease by Dr. Bharne (University of Hyderabad, India). This study appears to be motivated by reports that reduced antibody levels and disease recurrence in recovered COVID-19 patients require understanding of the epidemic at a key level. Multiple organ failure cases in patients with COVID-19 have highlighted consideration for other organ systems. This study used RNA sequencing data to determine disease-associated differentially regulated genes and related protein interactions in multiple organ systems, which implies the importance of early diagnosis and treatment of the disease. RNA sequencing data were obtained from autopsy specimens of lung, heart, jejunum, liver, kidney, intestine, bone marrow, adipose, placenta, and skin from 24 patients who died of COVID-19 infection. The total number of samples in the sequencing data was 88, including five negative control samples. Using significantly expressed genes in different organ systems, protein interactions of multiple organ systems were then mapped, revealing CAV1 and CTNNB1 as top nodes. A core interactions sub-network was analyzed to identify several functionally important modules such as AR, CTNNB1, CAV1 and PIK3R1 proteins. In addition, this study highlighted some of the druggable targets to analyze in drug re-purposing strategies against the COVID-19 pandemic. I think the protein interaction maps and modular interactions of differentially regulated genes in multi-organ systems would provide the clues to researchers to rapidly investigate novel therapeutics for the COVID-19 pandemic. The second article by Sohpal (Beant College of Engineering & Technology, India) performed a comparative study of coronaviruses including severe acute respiratory syndrome coronavirus 2, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus focusing on non-synonymous and synonymous substitutions Through simulation studies, nucleotide sequence of closely related strains of respiratory syndrome viruses, codon-by-codon with maximum likelihood analysis, z selection and the divergence time were investigated. The third article by Mahfuz et al. (University of Development Alternative, Bangladesh) presented a network-biology approach for identification of key genes and pathways involved in malignant peritoneal mesothelioma (MPM). To understand the molecular mechanisms responsible for the initiation and progression of MPM, this study aims to identify the key genes and pathways responsible for MPM. Several bioinformatics analyses were performed such as identification of differentially expressed genes, pathway analysis, and protein-protein interaction network analysis, providing an insight into the potential genes and pathways involved in MPM. Received: June 28, 2021 Accepted: June 28, 2021","PeriodicalId":36591,"journal":{"name":"Genomics and Informatics","volume":"19 2","pages":"e12"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261267/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5808/gi.19.2.e1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/6/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

In this issue, there are six original articles and one mini review. The first article by by Sohag et al. (Jagannath University, Bangladesh) provides a short review on omics approaches to cardiovascular diseases (CVDs). The author summarizes the genomics, proteomics, transcriptomics, and metabolomics in CVDs with a well-organized prospect. The first original article is about a protein interactions map of multiple organ systems associated with coronavirus disease 2019 (COVID-19) disease by Dr. Bharne (University of Hyderabad, India). This study appears to be motivated by reports that reduced antibody levels and disease recurrence in recovered COVID-19 patients require understanding of the epidemic at a key level. Multiple organ failure cases in patients with COVID-19 have highlighted consideration for other organ systems. This study used RNA sequencing data to determine disease-associated differentially regulated genes and related protein interactions in multiple organ systems, which implies the importance of early diagnosis and treatment of the disease. RNA sequencing data were obtained from autopsy specimens of lung, heart, jejunum, liver, kidney, intestine, bone marrow, adipose, placenta, and skin from 24 patients who died of COVID-19 infection. The total number of samples in the sequencing data was 88, including five negative control samples. Using significantly expressed genes in different organ systems, protein interactions of multiple organ systems were then mapped, revealing CAV1 and CTNNB1 as top nodes. A core interactions sub-network was analyzed to identify several functionally important modules such as AR, CTNNB1, CAV1 and PIK3R1 proteins. In addition, this study highlighted some of the druggable targets to analyze in drug re-purposing strategies against the COVID-19 pandemic. I think the protein interaction maps and modular interactions of differentially regulated genes in multi-organ systems would provide the clues to researchers to rapidly investigate novel therapeutics for the COVID-19 pandemic. The second article by Sohpal (Beant College of Engineering & Technology, India) performed a comparative study of coronaviruses including severe acute respiratory syndrome coronavirus 2, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus focusing on non-synonymous and synonymous substitutions Through simulation studies, nucleotide sequence of closely related strains of respiratory syndrome viruses, codon-by-codon with maximum likelihood analysis, z selection and the divergence time were investigated. The third article by Mahfuz et al. (University of Development Alternative, Bangladesh) presented a network-biology approach for identification of key genes and pathways involved in malignant peritoneal mesothelioma (MPM). To understand the molecular mechanisms responsible for the initiation and progression of MPM, this study aims to identify the key genes and pathways responsible for MPM. Several bioinformatics analyses were performed such as identification of differentially expressed genes, pathway analysis, and protein-protein interaction network analysis, providing an insight into the potential genes and pathways involved in MPM. Received: June 28, 2021 Accepted: June 28, 2021
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
编者对本期的介绍(G&I 19:2, 2021)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Genomics and Informatics
Genomics and Informatics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊最新文献
Gut metagenomic analysis of gastric cancer patients reveals Akkermansia, Gammaproteobacteria, and Veillonella microbiota as potential non-invasive biomarkers COVID-19 progression towards ARDS: a genome wide study reveals host factors underlying critical COVID-19. Bioinformatic analyses reveal the prognostic significance and potential role of ankyrin 3 (ANK3) in kidney renal clear cell carcinoma. Comparison of digital PCR platforms using the molecular marker. Single-cell RNA sequencing identifies distinct transcriptomic signatures between PMA/ionomycin- and αCD3/αCD28-activated primary human T cells.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1