1. Transcriptomic analysis of gene expression in mice treated with troxerutin
- Author
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Jinli Pei, Hao Wu, Lintao Chen, Dayong Wang, Yuerong Wang, Yibo Chen, Shuangshuang Wei, and Yechun Pei
- Subjects
0301 basic medicine ,Male ,Troxerutin ,lcsh:Medicine ,Gene Expression ,Directed Acyclic Graphs ,Biochemistry ,Transcriptome ,White Blood Cells ,Mice ,Transcription (biology) ,Animal Cells ,Gene expression ,Medicine and Health Sciences ,lcsh:Science ,Routes of Administration ,Multidisciplinary ,Directed Graphs ,T Cells ,Gene Ontologies ,Genomics ,Real-time polymerase chain reaction ,Physical Sciences ,Cellular Structures and Organelles ,Cellular Types ,Transcriptome Analysis ,medicine.drug ,Research Article ,Computer and Information Sciences ,Immune Cells ,Immunology ,Biology ,Research and Analysis Methods ,Real-Time Polymerase Chain Reaction ,03 medical and health sciences ,Immune system ,medicine ,Genetics ,Animals ,Molecular Biology Techniques ,Gene ,Molecular Biology ,Pharmacology ,Blood Cells ,lcsh:R ,Gene Mapping ,RNA ,Biology and Life Sciences ,Computational Biology ,Cell Biology ,Genome Analysis ,Molecular biology ,Hydroxyethylrutoside ,030104 developmental biology ,Subcutaneous Injections ,Graph Theory ,Exon Mapping ,lcsh:Q ,Ribosomes ,Mathematics - Abstract
Troxerutin, a semi-synthetic derivative of the natural bioflavanoid rutin, has been reported to possess many beneficial effects in human bodies, such as vasoprotection, immune support, anti-inflammation and anti-aging. However, the effects of troxerutin on genome-wide transcription in blood cells are still unknown. In order to find out effects of troxerutin on gene transcription, a high-throughput RNA sequencing was employed to analysis differential gene expression in blood cells consisting of leucocytes, erythrocytes and platelets isolated from the mice received subcutaneous injection of troxerutin. Transcriptome analysis demonstrated that the expression of only fifteen genes was significantly changed by the treatment with troxerutin, among which 5 genes were up-regulated and 10 genes were down-regulated. Bioinformatic analysis of the fifteen differentially expressed genes was made by utilizing the Gene Ontology (GO), and the differential expression induced by troxerutin was further evaluated by real-time quantitative PCR (Q-PCR).
- Published
- 2017