Gene expression of Takifugu rubripes gonads during AI or MT- induced masculinization and E2-induced feminization

Endocrinology ◽  
2021 ◽  
Author(s):  
Hongwei Yan ◽  
Xufang Shen ◽  
Jieming Jiang ◽  
Lei Zhang ◽  
Zhen Yuan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Factors ◽  
Steroid Hormone ◽  
Sex Differentiation ◽  
Control Group ◽  
Takifugu Rubripes ◽  
Biosynthesis Pathway ◽  
Hormone Biosynthesis ◽  
Key Genes ◽  
Insight Into

Abstract Elucidating the global molecular changes that occur during aromatase inhibitor (AI)- or 17α-methyltestosterone (MT)-induced masculinization and estrodiol-17β (E2)-induced feminization is critical to understanding the roles that endocrine and genetic factors play in regulating the process of sex differentiation in fish. Here, fugu larvae were treated with AI (letrozole), MT, or E2 from 25 to 80 days after hatching (dah), and gonadal transcriptomic analysis at 80 dah was performed. The expression of dmrt1, gsdf, foxl2, and other key genes (star, hsd3b1, cyp11c1, cyp19a1a, etc.) involved in the steroid hormone biosynthesis pathway were found be altered. The expression of dmrt1, gsdf, cyp19a1a, and foxl2 was further verified by qPCR. In the control group, the expression of dmrt1 and gsdf was significantly higher in XY larvae compared to XX larvae, while the expression of foxl2 and cyp19a1a was significantly higher in XX larvae compared to XY larvae (p < 0.05). AI treatment suppressed the expression of foxl2 and cyp19a1a, and induced the expression of dmrt1 and gsdf in XX larvae. MT treatment suppressed the expression of foxl2, cyp19a1a, dmrt1, and gsdf in XX larvae. E2 treatment suppressed the expression of dmrt1 and gsdf, but did not restore the expression of foxl2 and cyp19a1a in XY larvae. The shared response following AI, MT, and E2 treatment suggested that these genes are essential for sex differentiation. This finding offers some insight into AI or MT-induced masculinization, and E2-induced femininization in fugu.

scholarly journals Study on potential differentially expressed genes in stroke by bioinformatics analysis

2021 ◽  
Author(s):  
Xitong Yang ◽  
Pengyu Wang ◽  
Shanquan Yan ◽  
Guangming Wang
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Normal Control ◽  
Enrichment Analysis ◽  
Normal Control Group ◽  
Control Group ◽  
Ppi Network ◽  
Hub Genes ◽  
Pathway Enrichment ◽  
Key Genes

AbstractStroke is a sudden cerebrovascular circulatory disorder with high morbidity, disability, mortality, and recurrence rate, but its pathogenesis and key genes are still unclear. In this study, bioinformatics was used to deeply analyze the pathogenesis of stroke and related key genes, so as to study the potential pathogenesis of stroke and provide guidance for clinical treatment. Gene Expression profiles of GSE58294 and GSE16561 were obtained from Gene Expression Omnibus (GEO), the differentially expressed genes (DEGs) were identified between IS and normal control group. The different expression genes (DEGs) between IS and normal control group were screened with the GEO2R online tool. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the DEGs were performed. Using the Database for Annotation, Visualization and Integrated Discovery (DAVID) and gene set enrichment analysis (GSEA), the function and pathway enrichment analysis of DEGS were performed. Then, a protein–protein interaction (PPI) network was constructed via the Search Tool for the Retrieval of Interacting Genes (STRING) database. Cytoscape with CytoHubba were used to identify the hub genes. Finally, NetworkAnalyst was used to construct the targeted microRNAs (miRNAs) of the hub genes. A total of 85 DEGs were screened out in this study, including 65 upward genes and 20 downward genes. In addition, 3 KEGG pathways, cytokine − cytokine receptor interaction, hematopoietic cell lineage, B cell receptor signaling pathway, were significantly enriched using a database for labeling, visualization, and synthetic discovery. In combination with the results of the PPI network and CytoHubba, 10 hub genes including CEACAM8, CD19, MMP9, ARG1, CKAP4, CCR7, MGAM, CD79A, CD79B, and CLEC4D were selected. Combined with DEG-miRNAs visualization, 5 miRNAs, including hsa-mir-146a-5p, hsa-mir-7-5p, hsa-mir-335-5p, and hsa-mir-27a- 3p, were predicted as possibly the key miRNAs. Our findings will contribute to identification of potential biomarkers and novel strategies for the treatment of ischemic stroke, and provide a new strategy for clinical therapy.

scholarly journals Differences in Brain Transcriptomes of Closely Related Baikal Coregonid Species

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Oksana S. Bychenko ◽  
Lyubov V. Sukhanova ◽  
Tatyana L. Azhikina ◽  
Timofey A. Skvortsov ◽  
Tuyana V. Belomestnykh ◽  
...  
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
Genetic Factors ◽  
Common Ancestor ◽  
Cell Metabolism ◽  
Adaptive Divergence ◽  
Closely Related Species ◽  
Immune Systems ◽  
Cdna Sequences ◽  
Insight Into

The aim of this work was to get deeper insight into genetic factors involved in the adaptive divergence of closely related species, specifically two representatives of Baikal coregonids—Baikal whitefish (Coregonus baicalensisDybowski) and Baikal omul (Coregonus migratoriusGeorgi)—that diverged from a common ancestor as recently as 10–20 thousand years ago. Using the Serial Analysis of Gene Expression method, we obtained libraries of short representative cDNA sequences (tags) from the brains of Baikal whitefish and omul. A comparative analysis of the libraries revealed quantitative differences among ~4% tags of the fishes under study. Based on the similarity of these tags with cDNA of known organisms, we identified candidate genes taking part in adaptive divergence. The most important candidate genes related to the adaptation of Baikal whitefish and Baikal omul, identified in this work, belong to the genes of cell metabolism, nervous and immune systems, protein synthesis, and regulatory genes as well as to DTSsa4 Tc1-like transposons which are widespread among fishes.

Regulation of steroid hydroxylase gene expression and steroid hormone biosynthesis

1990 ◽  
Vol 18 (1) ◽  
pp. 26-28 ◽  
Author(s):  
MICHAEL R. WATERMAN ◽  
JOHAN LUND ◽  
RAGNHILD AHLGREN ◽  
DONGAHI WU ◽  
EVAN R. SIMPSON
Keyword(s):  
Gene Expression ◽  
Steroid Hormone ◽  
Steroid Hormone Biosynthesis ◽  
Hydroxylase Gene ◽  
Steroid Hydroxylase ◽  
Hormone Biosynthesis

scholarly journals Gene Expression Pattern of Key Genes in Menthol Biosynthesis Pathway in Different Organs of Peppermint (Mentha piperita)

2015 ◽  
Vol 2 (1) ◽  
pp. 1-10
Author(s):  
Soheila Afkar ◽  
Ghasem Karimzadeh ◽  
Mokhtar Jalali Javaran ◽  
◽  
◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Pattern ◽  
Gene Expression Pattern ◽  
Mentha Piperita ◽  
Biosynthesis Pathway ◽  
Key Genes

scholarly journals Metabolomics Profiling Reveals Rehmanniae Radix Preparata Extract Protects against Glucocorticoid-Induced Osteoporosis Mainly via Intervening Steroid Hormone Biosynthesis

Molecules ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 253 ◽  
Author(s):  
Tianshuang Xia ◽  
Xin Dong ◽  
Yiping Jiang ◽  
Liuyue Lin ◽  
Zhimin Dong ◽  
...  
Keyword(s):  
Steroid Hormone ◽  
Control Group ◽  
Mineral Density ◽  
Matrix Mineralization ◽  
Steroid Hormone Biosynthesis ◽  
Post Menopausal Osteoporosis ◽  
Metabolomics Study ◽  
Hormone Biosynthesis ◽  
Rehmanniae Radix

Rehmanniae Radix Preparata (RR), the dry rhizome of Rehmannia glutinosa Libosch., is a traditional herbal medicine for improving the liver and kidney function. Ample clinical and pharmacological experiments show that RR can prevent post-menopausal osteoporosis and senile osteoporosis. In the present study, in vivo and in vitro experiments, as well as a UHPLC-Q/TOF-MS-based metabolomics study, were used to explore the preventing effect of RR on glucocorticoid-induced osteoporosis (GIOP) and its underlying mechanisms. As a result, RR significantly enhanced bone mineral density (BMD), improved the micro-architecture of trabecular bone, and intervened in biochemical markers of bone metabolism in dexamethasone (DEX)-treated rats. For the in vitro experiment, RR increased the cell proliferation and alkaline phosphatase (ALP) activity, enhanced the extracellular matrix mineralization level, and improved the expression of runt-related transcription factor 2 (RUNX2) and osteopontin (OPN) in DEX-injured osteoblasts. For the metabolomics study, a total of 27 differential metabolites were detected in the DEX group vs. the control group, of which 10 were significantly reversed after RR treatment. These metabolites were majorly involved in steroid hormone biosynthesis, sex steroids regulation, and amino acid metabolism. By metabolic pathway and Western blotting analysis, it was further ascertained that RR protected against DEX-induced bone loss, mainly via interfering steroid hormone biosynthesis, as evidenced by the up-regulation of cytochrome P450 17A1 (CYP17A1) and aromatase (CYP19A1), and the down-regulation of 11β-hydroxysteroid dehydrogenase (HSD11B1). Collectively, these results indicated that RR had a notable preventing effect on GIOP, and the action mechanism might be related to steroid hormone biosynthesis.

scholarly journals Transcriptome Analysis of Bovine Ovarian Follicles at Predeviation and Onset of Deviation Stages of a Follicular Wave

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Pengfei Li ◽  
Jinzhu Meng ◽  
Wenzhong Liu ◽  
George W. Smith ◽  
Jianbo Yao ◽  
...  
Keyword(s):  
Pathway Analysis ◽  
Kegg Pathway ◽  
Steroid Hormone ◽  
Follicular Development ◽  
Regulatory Mechanisms ◽  
Biosynthesis Pathway ◽  
Follicular Wave ◽  
Kegg Pathway Analysis ◽  
Hormone Biosynthesis ◽  
Upregulated Genes

For two libraries (PDF1 and ODF1) using Illumina sequencing 44,082,301 and 43,708,132 clean reads were obtained, respectively. After being mapped to the bovine RefSeq database, 15,533 genes were identified to be expressed in both types of follicles (cut-off RPKM > 0.5), of which 719 were highly expressed in bovine follicles (cut-off RPKM > 100). Furthermore, 83 genes were identified as being differentially expressed in ODF1 versus PDF1, where 42 genes were upregulated and 41 genes were downregulated. KEGG pathway analysis revealed two upregulated genes in ODF1 versus PDF1, CYP11A1, and CYP19A1, which are important genes in the steroid hormone biosynthesis pathway. This study represents the first investigation of transcriptome of bovine follicles at predeviation and onset of deviation stages and provides a foundation for future investigation of the regulatory mechanisms involved in follicular development in cattle.

scholarly journals Effect of graphene / metal nanocomposites on the key genes involved in rosmarinic acid biosynthesis pathway and its accumulation in Melissa officinalis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Roya Karimi Soraki ◽  
Mahyar Gerami ◽  
Moazzameh Ramezani
Keyword(s):  
Gene Expression ◽  
Silver Nanoparticle ◽  
Rosmarinic Acid ◽  
Phenylalanine Ammonia Lyase ◽  
Tyrosine Aminotransferase ◽  
Biosynthesis Pathway ◽  
Acid Biosynthesis ◽  
Low Concentration ◽  
Key Genes ◽  
Rosmarinic Acid Synthase

Abstract Background Recently, numerous investigations have been done to study graphene and silver nanoparticle in the fields of agriculture and medicine. In the present study, the green synthesis of nanoparticles with two concentrations (0, 40, 60 mM) and their effect on the molecular and biochemical biosynthesis pathway of rosmarinic acid in a new method, low cost, and safe for the environment has been investigated. The transcript levels of key genes in the rosmarinic acid biosynthesis pathway (Tyrosine aminotransferase, rosmarinic acid synthase, and phenylalanine-ammonia lyase) were studied using real-time quantitative polymerase chain reaction. Then, the rosmarinic acid content was evaluated using HPLC. Results The results showed that a concentration-dependent manner was observed in treated plants. At the biochemical level, the use of nanocomposites at concentration of 40 mM showed higher soluble carbohydrate (37%), flavonoids (21%), total phenol (35%) as well as total protein (47%) compared to the control plants. HPLC results showed that rosmarinic acid content in the treated plants with a low concentration of nanocomposite (40 mM) was more affected than plants treated with a high concentration of nanocomposite (60 mM) (26%) and also compared to other treatments. At the molecular level, the result showed that Tyrosine aminotransferase and rosmarinic acid synthase gene expression was positively correlated with both silver nanoparticle concentrations and nanocomposite treatments, but phenylalanine-ammonia lyase gene expression was positively correlated only with nanocomposite at 40 mM concentration. Conclude It can conclude that the nanocomposite at low concentration is more likely to induce molecular and biochemical parameters. And also, in the rosmarinic acid biosynthesis pathway, the Tyrosine aminotransferase -derived pathway is more efficient than the phenylalanine-ammonia lyase -derived pathway by causing a nano-elicitor. Therefore, it was concluded that studied elicitor at low concentration, can create plants with higher production capacity.

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