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[Objective] SRO gene family is a class of plant-specific transcription factors, which plays an important role in plant growth and development and stress response. The study of the SRO gene family in Brassica juncea L. provides a theoretical basis for analyzing the function of SRO genes in B. juncea L. and its genetic improvement. [Method] Bioinformatics was used to identify members of the SRO gene family in the genomes of two types of oilseed mustard and vegetable mustard, the software and database such as TBtools, MEGA, Cytoscape, NCBI, STRING, EggNOG were used for the analysis of physicochemical properties, sequence characterization, evolutionary relationships, regulatory networks, etc., as well as RT-qPCR to analyze the expression patterns under salt stress. [Result] There were differences in the number of members of the SRO gene family between the two types of B. juncea L., and they belonged to two major classes. Among them, class A SRO proteins contained WWE, PARP and RST structural domains, whereas class B proteins were lack of WWE domains. The promoter region of the SRO genes contained a variety of cis-acting elements for abiotic stress response and hormone response. The microRNA-BjuSRO-target genes constructed a complex regulatory network, which was involved in apoptosis, root morphogenesis, immune response, cellular response to heterologous stimuli, and response to reactive oxygen species, and other biological processes. The RT-qPCR results showed that BjuVA1a, BjuVA1e, BjuVA2a, BjuVA3a, BjuVB1b, and BjuVA2a were significantly upregulated under salt stress. [Conclusion] The SRO gene family in the mustard has functional diversity, and BjuVA1a, BjuVA1e, BjuVA2a, BjuVA3a, BjuVB1b, and BjuVA2a are closely related to the response to salt stress, which can be used as candidate genes for breeding new salt-tolerant varieties of B. juncea L. [ABSTRACT FROM AUTHOR]

【Objective】The transparent traits in Pterophyllum scalare has high economic and scientific value. This article aims to explore the differential expression genes (DEG) between transparent gill cover (TGC) and opaque gill cover (OGC) tissues of P. scalare, and explore the relevant signaling pathways affecting the transparent gill cover traits of P. scalare, so as to provide a theoretical basis for the subsequent screening of key genes regulating the transparent gill cover trait of P. scalare and related mechanism studies.【Method】The gill cover tissue of P. scalare (strain: red-topped tri-color) was selected as the research material, and 6 samples were selected from each group of OGC and TGC. Transcriptomic sequencing was carried out based on the Illumina Novaseq 6000 sequencing platform with using Fastp to perform quality control on raw sequencing data. The transcript and the corresponding single gene (Unigene) were obtained by de novo assembling of quality control data by Trinity software, and the initial assembly sequence was deredundancy analysis and result evaluation by CD-HIT software and BUSCO software, respectively. After redundancy, unigene were functionally annotated based on sequence homology. RSEM software was used to calculate the expression of unigene in each sample. DEGs between OGC and TGC were calculated using DESeq2 software. GO and KEGG pathway enrichment analysis was performed on DEGs using Goatools software and KOBAS software, respectively.【Result】(1) After quality control of sequencing data, the average error rate of each sample sequencing base was less than 0.1%, Q20 was higher than 97.78%, and Q30 was higher than 93.58%, and the sequencing quality was reliable. After de novo assembling, 200 303 transcripts were obtained, corresponding to 123 178 unigenes. After deredundancy analysis, a total of 147 932 transcripts are obtained, corresponding to 108 070 unigenes, with an average length of 991.85 bp and N50 is 2 430 bp. (2) A total of 40 180 unigenes were annotated in the NR, KEGG, eggNOG, GO, Pfam, and Swiss-Prot databases, accounting for 37.98% of the total, of which 10 747 genes were annotated simultaneously in 6 databases, accounting for 26.75% of the total. (3) TGC relative to OGC has a total of 432 DEGs, of which TGC significantly up-regulated 267 genes and down-regulated 165 genes relative to OGC. (4) GO enrichment results showed that 432 DEGs were mainly enriched in 5 biological pathways: IMP biosynthesis, IMP metabolism, "de novo" IMP biosynthesis, amino acid binding, and modified amino acid binding. (5) KEGG enrichment results showed that 432 DEGs were mainly enriched in 7 biological pathways: neuroactive ligand-receptor interaction, tyrosine metabolism, purine metabolism, a carbon pool of folate, phenylalanine metabolism, nucleotide metabolism, ubiquinone and other terpene-quinone biosynthesis.【Conclusion】432 genes related to the transparent gill cover trait of P. scalare were obtained by transcriptomic sequencing, which were mainly involved in 12 signaling pathways. The results will provide reference for the mining and functional study of genes related to transparent gill cover trait in P. scalare.

【Objective】The transparent traits in Pterophyllum scalare has high economic and scientific value. This article aims to explore the differential expression genes (DEG) between transparent gill cover (TGC) and opaque gill cover (OGC) tissues of P. scalare, and explore the relevant signaling pathways affecting the transparent gill cover traits of P. scalare, so as to provide a theoretical basis for the subsequent screening of key genes regulating the transparent gill cover trait of P. scalare and related mechanism studies.【Method】The gill cover tissue of P. scalare (strain: red-topped tri-color) was selected as the research material, and 6 samples were selected from each group of OGC and TGC. Transcriptomic sequencing was carried out based on the Illumina Novaseq 6000 sequencing platform with using Fastp to perform quality control on raw sequencing data. The transcript and the corresponding single gene (Unigene) were obtained by de novo assembling of quality control data by Trinity software, and the initial assembly sequence was deredundancy analysis and result evaluation by CD-HIT software and BUSCO software, respectively. After redundancy, unigene were functionally annotated based on sequence homology. RSEM software was used to calculate the expression of unigene in each sample. DEGs between OGC and TGC were calculated using DESeq2 software. GO and KEGG pathway enrichment analysis was performed on DEGs using Goatools software and KOBAS software, respectively. 【Result】(1) After quality control of sequencing data, the average error rate of each sample sequencing base was less than 0.1%, Q20 was higher than 97.78%, and Q30 was higher than 93.58%, and the sequencing quality was reliable. After de novo assembling, 200 303 transcripts were obtained, corresponding to 123 178 unigenes. After deredundancy analysis, a total of 147 932 transcripts are obtained, corresponding to 108 070 unigenes, with an average length of 991.85 bp and N50 is 2 430 bp. (2) A total of 40 180 unigenes were annotated in the NR, KEGG, eggNOG, GO, Pfam, and Swiss-Prot databases, accounting for 37.98% of the total, of which 10 747 genes were annotated simultaneously in 6 databases, accounting for 26.75% of the total. (3) TGC relative to OGC has a total of 432 DEGs, of which TGC significantly up-regulated 267 genes and down-regulated 165 genes relative to OGC. (4) GO enrichment results showed that 432 DEGs were mainly enriched in 5 biological pathways: IMP biosynthesis, IMP metabolism, “de novo” IMP biosynthesis, amino acid binding, and modified amino acid binding. (5) KEGG enrichment results showed that 432 DEGs were mainly enriched in 7 biological pathways: neuroactive ligand-receptor interaction, tyrosine metabolism, purine metabolism, a carbon pool of folate, phenylalanine metabolism, nucleotide metabolism, ubiquinone and other terpene-quinone biosynthesis. 【Conclusion】432 genes related to the transparent gill cover trait of P. scalare were obtained by transcriptomic sequencing, which were mainly involved in 12 signaling pathways. The results will provide reference for the mining and functional study of genes related to transparent gill cover trait in P. scalare. [ABSTRACT FROM AUTHOR]

Objective: To investigate the differential gene expression and function of peripheral blood monocytes in patients with coronary heart disease and acute myocardial infarction. Methods: Patients receiving coronary angiography in Kunming First People’s Hospital from September 2020 to September 2021 were collected and total RNA of peripheral blood monocytes was extracted. DNBSEQ platform was used for second-generation highthroughput sequencing. We tested and screened differentially expressed genes, and made KEGG and GO enrichment analysis. Results: There were 89 differentially expressed genes,67 up-regulated genes and 22 downregulated genes in acute myocardial infarction group compared with normal coronary artery group. Among them, there were 14 differential lncRNAs, 72 differential mRNAs, and 3 differential circRNAs. KEGG pathway enrichment analysis, KEGG disease enrichment analysis and KEGG molecular enrichment analysis were completed. GO cell composition enrichment analysis, GO cell function enrichment analysis and GO biological process molecular enrichment analysis were completed. Conclusions: 10 mRNAs,6 lncRNAs,and 2 circRNAs with significant differences were screened. The enrichment analysis involves infection,transcriptional disorder,PI3K Akt signaling pathway, lipid synthesis, phagocytic vesicle cavity, extracellular matrix, lipopolysaccharide binding, etc., which may be related to the occurrence and development of coronary atherosclerosis and the occurrence of acute thrombotic events. [ABSTRACT FROM AUTHOR]

Objective · To explore the mechanism of esophageal squamous cell carcinoma (ESCC) and its potential targeted drugs, and to provide the theoretical basis for diagnosis and treatment of ESCC. Methods · Two GEO sets GSE38129 and GSE20347 were selected, and differentially expressed genes (DEGs) were screenedR language. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis were conducted for DEGs. The most significant module genes and key genes were analyzedprotein-protein interaction (PPI) network for DEGs. Targeted drug prediction was made for phosphorylase B kinase (PBK). Results · A total of 670 DEGs were identified, consisting of 342 down-regulated genes and 328 up-regulated genes. The enriched functions and pathways of DEGs included extracellular structure organization, extracellular matrix organization, p53 signaling pathway, IL-17 signaling pathway and cell cycle. Twenty key genes were identifiedanalyzing DEGs' PPI network. The key gene PBK was related to the cell cycle, and the of PBK was up-regulated in the two data sets. The potential drug Compound 1 of PBK was predictedallosteric site detection and compound library virtual screening. Conclusion · The key genes of ESCC can be effectively analyzedbioinformatics. The prediction results of targeted drugs of key gene PBK may provide reference for the targeted therapy of ESCC. [ABSTRACT FROM AUTHOR]

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Xixiancao( Siegesbeckiae Herba) has the effect of treating ischemic stroke( IS),however,the mechanism has not been fully elucidated. In this study,combined with Lipinski's five principles and Veber oral bioavailability rules,68 chemical components of Xixiancao were obtained by database and literature search. Based on the reverse targeting,248 potential targets were obtained and mapped it to the ischemic stroke target set,47 potential targets for the treatment of ischemic stroke were obtained. Molecular docking technique was used to verify that the Xixiancao component has good binding activity to potential targets. GO enrichment analysis and pathway analysis were performed on potential targets using Clue GO. GO enrichment analysis showed that Xixiancao was mainly involved in life processes such as neuronal apoptosis,cholesterol storage and blood pressure regulation. Pathway analysis showed that Xixiancao may promote vascular repairing and regeneration by regulating the expression of ADAMTS1,FLT1 and KDR in VEGFA-VEGFR2 signaling pathway,activate cell survival signals and inhibit neuronal apoptosis by regulating the expression of CAMK2 AA,MDM2,MAPK1,MAPK3,CDK5 and MAPK10 in brain-derived neurotrophic factor signaling pathway and PI3 K-Akt signaling pathway. Lipid homeostasis and inflammation may also be regulated by Xixiancao through regulating the expression of ESR1,NR1 H3,PPARA,PPARG in the nuclear receptor signaling pathway. In addition,Xixiancao could also prevent platelet aggregation by regulating the expression of ITGA2 B,F2,F10,and ALB,and play an antithrombotic role. The results of this study indicate that Xixiancao plays an important role in the treatment of ischemic stroke mainly through anti-thrombosis,promoting angiogenesis,protecting neurons,anti-inflammatory and regulating blood pressure and lipids.