Insight Into the Long Noncoding RNA and mRNA Coexpression Profile in the Human Blood Transcriptome Upon Leishmania infantum Infection.
Visceral leishmaniasis (VL) is a vector-borne infectious disease that can be potentially fatal if left untreated. In Brazil, it is caused by Leishmania infantum parasites. Blood transcriptomics allows us to assess the molecular mechanisms involved in the immunopathological processes of several clinical conditions, namely, parasitic diseases. Here, we performed mRNA sequencing of peripheral blood from patients with visceral leishmaniasis during the active phase of the disease and six months after successful treatment, when the patients were considered clinically cured. To strengthen the study, the RNA-seq data analysis included two other non-diseased groups composed of healthy uninfected volunteers and asymptomatic individuals. We identified thousands of differentially expressed genes between VL patients and non-diseased groups. Overall, pathway analysis corroborated the importance of signaling involving interferons, chemokines, Toll-like receptors and the neutrophil response. Cellular deconvolution of gene expression profiles was able to discriminate cellular subtypes, highlighting the contribution of plasma cells and NK cells in the course of the disease. Beyond the biological processes involved in the immunopathology of VL revealed by the expression of protein coding genes (PCGs), we observed a significant participation of long noncoding RNAs (lncRNAs) in our blood transcriptome dataset. Genome-wide analysis of lncRNAs expression in VL has never been performed. lncRNAs have been considered key regulators of disease progression, mainly in cancers; however, their pattern regulation may also help to understand the complexity and heterogeneity of host immune responses elicited by L. infantum infections in humans. Among our findings, we identified lncRNAs such as IL21-AS1, MIR4435-2HG and LINC01501 and coexpressed lncRNA/mRNA pairs such as CA3-AS1/CA1, GASAL1/IFNG and LINC01127/IL1R1-IL1R2. Thus, for the first time, we present an integrated analysis of PCGs and lncRNAs by exploring the lncRNA–mRNA coexpression profile of VL to provide insights into the regulatory gene network involved in the development of this inflammatory and infectious disease.
Authors
Maruyama, Sandra Regina; Fuzo, Carlos Alessandro; Oliveira, Antonio Edson R; Rogerio, Luana Aparecida; Takamiya, Nayore Tamie; Pessenda, Gabriela; de Melo, Enaldo Vieira; da Silva, Angela Maria; Jesus, Amelia Ribeiro; Carregaro, Vanessa;
External link
Publication Year
Publication Journal
Associeted Project
Long Noncoding RNAs
Lista de serviços
-
StructRNAfinder: an automated pipeline and web server for RNA families prediction.StructRNAfinder: an automated pipeline and web server for RNA families prediction.
-
CEMiTool: a Bioconductor package for performing comprehensive modular co-expression analyses.CEMiTool: a Bioconductor package for performing comprehensive modular co-expression analyses.
-
webCEMiTool: Co-expression Modular Analysis Made Easy.webCEMiTool: Co-expression Modular Analysis Made Easy.
-
Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool.Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool.
-
Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder.Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder.
-
OUTBREAK: a user-friendly georeferencing online tool for disease surveillance.OUTBREAK: a user-friendly georeferencing online tool for disease surveillance.
-
Noninvasive prenatal paternity determination using microhaplotypes: a pilot study.Noninvasive prenatal paternity determination using microhaplotypes: a pilot study.
-
Editorial: User-Friendly Tools Applied to Genetics or Systems Biology.Editorial: User-Friendly Tools Applied to Genetics or Systems Biology.
-
Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone imagesAutomatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images
-
Tucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approachTucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approach
-
Ten quick tips for harnessing the power of ChatGPT in computational biologyTen quick tips for harnessing the power of ChatGPT in computational biology