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由……引起的皮肤利什曼病病变中长链非编码RNA和信使核糖核酸表达谱的综合分析

Integrated analysis of lncRNA and mRNA expression profiles in cutaneous leishmaniasis lesions caused by .

作者信息

Hadifar Shima, Masoudzadeh Nasrin, Andersson Björn, Heydari Hossein, Mashayekhi Goyonlo Vahid, Kerachian Mohammadali, Persson Josefine, Rahimi-Tamandegani Hasan, Erfanian Salim Reza, Rafati Sima, Harandi Ali M

机构信息

Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran.

Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

出版信息

Front Cell Infect Microbiol. 2024 Nov 21;14:1416925. doi: 10.3389/fcimb.2024.1416925. eCollection 2024.

Abstract

BACKGROUND

Cutaneous leishmaniasis (CL), caused by () species, remains a neglected tropical disease in many developing countries. We and others have shown that different species can alter the gene expression profile of human host cells. Long non-coding RNAs (lncRNAs) have been found to play a role in the pathogenesis of leishmaniasis through dysregulation of transcriptome signatures. Understanding the regulatory roles of lncRNAs in the biological networks involved in leishmaniasis can improve our understanding of the disease.

METHODS

Herein, we used our previous RNA sequencing data (GSE216638) to investigate the profile of lncRNAs in the skin lesions of -infected patients. We employed the weighted gene correlation network analysis (WGCNA) algorithm to establish co-expression networks of shared genes between CL patients and infer the potential role of lncRNAs in CL patients. We identified hub genes and trans- and cis-acting lncRNAs, and carried out functional enrichment analysis on a key co-expressed module related to -infected patients.

RESULTS

We found substantial involvement of lncRNAs in the CL patient dataset. Using the WGCNA method, we classified all included genes into seven modules, with a module (turquoise) being significantly correlated with the studied clinical traits and identified as the key module. This module was mainly involved in the "interferon gamma signaling" and "cytokine signaling" pathways. We highlighted several lncRNAs and their co-expressed mRNA pairs, like SIRPG-AS1, IL21R-AS1, IL24, and TLDC2, as hub genes of the key module. Quantitative RT-PCR validated the expression of several genes in the lesions of an independent cohort of -infected patients.

CONCLUSIONS

These findings enhance our understanding of the human skin response to infection. Furthermore, the hub genes identified in this study are worthy of further evaluation as potential targets in the development of more effective treatments and preventive measures for CL caused by .

摘要

背景

由()物种引起的皮肤利什曼病(CL)在许多发展中国家仍是一种被忽视的热带病。我们和其他人已经表明,不同的()物种可以改变人类宿主细胞的基因表达谱。长链非编码RNA(lncRNA)已被发现通过转录组特征的失调在利什曼病的发病机制中发挥作用。了解lncRNA在利什曼病相关生物网络中的调控作用可以增进我们对该疾病的理解。

方法

在此,我们利用我们之前的RNA测序数据(GSE216638)来研究感染()患者皮肤病变中lncRNA的概况。我们采用加权基因共表达网络分析(WGCNA)算法建立CL患者之间共享基因的共表达网络,并推断lncRNA在CL患者中的潜在作用。我们鉴定了枢纽基因以及反式和顺式作用的lncRNA,并对与感染()患者相关的一个关键共表达模块进行了功能富集分析。

结果

我们发现lncRNA大量参与了CL患者数据集。使用WGCNA方法,我们将所有纳入的基因分为七个模块,其中一个模块(绿松石色)与所研究的临床特征显著相关,并被确定为关键模块。该模块主要参与“干扰素γ信号传导”和“细胞因子信号传导”途径。我们突出了几个lncRNA及其共表达的mRNA对,如SIRPG-AS1、IL21R-AS1、IL24和TLDC2,作为关键模块的枢纽基因。定量RT-PCR验证了独立感染()患者队列病变中几个基因的表达。

结论

这些发现增进了我们对人类皮肤对()感染反应的理解。此外,本研究中鉴定的枢纽基因作为开发更有效治疗和预防由()引起的CL的潜在靶点值得进一步评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/91e2/11617529/6f012ff7a7e6/fcimb-14-1416925-g001.jpg

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