Related Experiment Video
Updated: Aug 21, 2025

Polysome Profiling in Leishmania, Human Cells and Mouse Testis
Published on: April 8, 2018
RNA-seq analysis of differentially expressed LncRNAs from leishmaniasis patients compared to uninfected humans
Zhongqiu Li1, Yuan Fang2, Yi Zhang2
1National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China.
Abstract:
Leishmaniasis is a parasitic disease that seriously endangers human health. Furthermore, among the parasitic diseases, leishmaniasis is the third most common cause of death after malaria and schistosomiasis. However, the potential function of LncRNAs in leishmaniasis remain unclear. This study aimed to explore the differentially expressed LncRNAs in leishmaniasis. The sera of leishmaniasis patients and uninfected persons for controls were obtained and analyzed by high-throughput sequencing. Moreover, the expression of key LncRNAs was detected by qPCR. The results showed that 970 differentially expressed LncRNAs and 1692 differentially expressed mRNAs were screened compared to control groups. Then, 520 target genes were identified by using bioinformation analysis and the ENCORI database. The bioinformatics analysis revealed that the differentially expressed target genes were enriched in autophagy animal, FoxO signaling pathway, mTOR signaling pathway, and apoptosis, et al. Among those differentially expressed LncRNAs, nine key LncRNAs were selected (MALAT1, NUTM2A-AS1, and LINC00963 had high expression; LINC00622, MAPKAPK5-AS1, LINC02289, XPC-AS1, ZFAS1 and SNHG5 had low expression) by qPCR. This study suggests that different expressions of LncRNAs may involve in the potential function in leishmaniasis and provide a novel insight for diagnosis of this zoonotic disease.
More Related Videos
13:21Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
Published on: June 16, 2017
10:10Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
Published on: September 18, 2021
Related Concept Videos
Ribosome Profiling
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
lncRNA - Long Non-coding RNAs
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...