Transcriptional and proteomic analysis.

Unintended effects of gene edit crops may pose safety issues. Omics is a useful tool for researchers to evaluate these unexpected effects. Transcriptome and proteomics analyses were performed for two gene editors, CRISPR-Cas9 and adenine base editor (ABE) gene edit rice, as well as corresponding wild-type plants (Nipponbare). Transcriptome revealed 520 and 566 rice differentially expressed genes (DEGs) in the Cas9/Nip and ABE/Nip comparisons, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most DEGs participated in metabolism of terpenoids and polyketones, plant-pathogen interactions, and plant signal transduction. It mainly belongs to environmental adaptation. Proteomics revealed 298 and 54 rice differentially expressed proteins (DEPs) in the Cas9/Nip and ABE/Nip comparisons, respectively. KEGG pathway enrichment analysis showed that most DEPs participated in the biosynthesis of secondary metabolite and metabolic pathways.According to integrated transcriptomes and proteomics analysis, the results showed that no newly generated genes were identified as new transcripts of these differentially expressed genes, and gene edit tools had little effect on rice transcription levels and no new proteins were generated in the gene-edited rice.

Professor / 中国针灸

The paper summarizes the ideas and characteristics of acupoint selection in treatment of mental disorder with acupuncture and moxibustion by professor

Bioinformatics Screening of Key Genes and Candidate Therapeutic Drugs of Osteoarthritis / 中国实验方剂学杂志

Objective: To explore the key genes and potential therapeutic drugs for osteoarthritis (OA) by bioinformatics.Method: The microarray data GSE55235 was downloaded from the data platform of gene expression omnibus (GEO) and the differentially expressed genes were screened by R language software (3.5.0).Then,the differentially expressed genes were subjected to gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) signaling pathway analysis with David online database.The protein-protein interaction was analyzed by String 10.5 online database and visual editing was analyzed by Cytoscape v3.6.1 software.Subnetwork module analysis was utilized by MCODE plugin to screen the core genes in the process of OA.Finally,small molecule drugs with potential treatment for OA were analyzed by connectivity map (CMap) database.Result: A total of 556 differentially expressed genes were screened,among which 252 were up-regulated and 304 were down-regulated.These genes were mainly involved in extracellular matrix (ECM) organization,inflammatory response,cell adhesion,immune response,collagen binding,etc.The analysis of KEGG pathway showed that differential genes were mainly involved in ECM-receptor interaction,phosphatidylinositol 3 kinase-protein kinase B (PI3K/Akt) signaling pathway and osteoclast differentiation.Some genes,such as interleukin-6(IL-6),JUN,vascular endothelial growth factor α(VEGFA),FOS,MYC and early growth response gene-1(EGR-1),activating transcription factor-3(ATF-3),playing critical role in the process of OA were identified by protein-protein interaction.Some potential small molecular drugs for the treatment of OA have also been screened,such as lycorine and anisomycin.Conclusion: The selected key genes may be targets for the diagnosis of OA or potential targets for the treatment of OA,and the selected small molecular drugs can be developed as the key drugs for the treatment of OA.