Analysis of transcriptome and metabolome characteristics of blood in yaks at different reproductive stages
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ABSTRACT:
PROVIDER: PRJNA1188607 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31416700_1.fastq.gz | Fastqsanger.gz | |||
| SRR31416700_2.fastq.gz | Fastqsanger.gz | |||
| SRR31416701_1.fastq.gz | Fastqsanger.gz | |||
| SRR31416701_2.fastq.gz | Fastqsanger.gz | |||
| SRR31416702_1.fastq.gz | Fastqsanger.gz |
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Project description:Translation, as a crucial link in the transmission of genetic information, plays an indispensable regulatory role in follicular development, ovulation, corpus luteum formation, and degeneration. In order to deeply analyze the molecular mechanisms of reproductive regulation at the translation level, our study focused on the ovarian tissues of yaks at different reproductive stages to analyze gene expression changes using Ribosome profiling and integrating RNA-seq data. Meanwhile, the small open reading frames (sORFs) of ovarian tissue was characterized, and the impact of the translation efficiency of focused genes on their sequence feature was analyzed. The results showed that over 80% of genes in the two groups exhibited inconsistent changes at the transcription and translation levels, indicated that the changes in genes at both levels were complex and not simply synergistic. Upon the pathway enrichment analysis, the signaling pathways involved in these differentially expressed genes were further clarified, such as the estrogen signaling pathway PI3K-Akt, MAPK, calcium signaling pathway and ovarian steroidogenesis. Further research has found that some genes related to ovarian function have inconsistent expression at two levels and exhibit dynamic changes in translation activity, including PALB2, EGR2, BMP7, SOX9, PIK3R2, and WNT2B. Besides, we identified 66 predicted translatable small open reading frames (sORFs) and also explored the impact of upstream ORFs (uORFs) on the translation efficiency of downstream major ORFs (mORFs). This study systematically revealed the gene expression characteristics of ovarian tissues in yaks at different reproductive stages from the perspective of translational level for the first time, providing a new perspective for a deeper understanding of the physiological mechanisms of yak reproduction.
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Project description:Yaks (Bos grunniens) exhibit exceptional adaptation to the challenging high-altitude environment of the Qinghai-Tibetan plateau, making them the sole bovine species capable of thriving in such exreme conditions. Investigating the cellular and molecular characteristics of yak ovaries across different reproductive states is crucial for gaining insight into their ovarian functions. Herein, the cellular atlases of yak ovaries in different reproductive states were depicted by single-cell RNA-sequencing (scRNA-seq). The cellular atlases of the ovaries were established by identifying specific gene expression patterns of various cell types, including granulosa cells, theca cells, stromal cells, smooth muscle cells, endothelial cells, glial cell, macrophages, natural killer cells, and proliferating cells. The cellular compositions of the ovaries vary among different reproductive states. Moreover, a cell-to-cell communication network was constructed among distinct cell types within the ovary, spanning the three reproductive states.
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2024-12-31 | GSE254287 | GEO
Project description:Yaks (Bos grunniens) exhibit exceptional adaptation to the challenging high-altitude environment of the Qinghai-Tibetan plateau, making them the sole bovine species capable of thriving in such exreme conditions. Investigating the cellular and molecular characteristics of yak ovaries across different reproductive states is crucial for gaining insight into their ovarian functions. Herein, the cellular atlases of yak ovaries in different reproductive states were depicted by single-cell RNA-sequencing (scRNA-seq). The cellular atlases of the ovaries were established by identifying specific gene expression patterns of various cell types, including granulosa cells, theca cells, stromal cells, smooth muscle cells, endothelial cells, glial cell, macrophages, natural killer cells, and proliferating cells. The cellular compositions of the ovaries vary among different reproductive states. Moreover, a cell-to-cell communication network was constructed among distinct cell types within the ovary, spanning the three reproductive states.
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Project description:The present study aims at understanding differential gene-expression patterns in the female mouse brain tissues at different stages of reproductive life cycle Methods: Total RNA from brain tissues of 3, 12 and 40 week old female mice was subjected to cDNA and labelled cRNA synthesis and hybridized on 4X44k array. For the same samples, transcriptome sequencing was done followed by qPCR validation of the common genes. Data was analyzed using Gene spring GX 11.5 with MM10 reference along with GSEA and STRING analysis. We primarily focused on understanding gene expression changes in female mice brain which occur during various reproductive life stages viz. 3, 12, 40 weeks which is akin to adolescent, mature and pre-menopausal states.The genes involved in metabolic activity, neurological activity, inflammation and signalling along with genes involved in reproductive regulation show differential expression. The changes observed provide physiological insights in changes in the female brain associated with development, fertility and progressing age.
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Project description:IntroductionThe dietary protein level plays a crucial role in maintaining the equilibrium of rumen microbiota in yaks. To explore the association between dietary protein levels, rumen microbiota, and muscle metabolites, we examined the rumen microbiome and muscle metabolome characteristics in yaks subjected to varying dietary protein levels.MethodsIn this study, 36 yaks were randomly assigned to three groups (n = 12 per group): low dietary protein group (LP, 12% protein concentration), medium dietary protein group (MP, 14% protein concentration), and high dietary protein group (HP, 16% protein concentration).Results16S rDNA sequencing revealed that the HP group exhibited the highest Chao1 and Observed_species indices, while the LP group demonstrated the lowest. Shannon and Simpson indices were significantly elevated in the MP group relative to the LP group (P < 0.05). At the genus level, the relative abundance of Christensenellaceae_R-7_group in the HP group was notably greater than that in the LP and MP groups (P < 0.05). Conversely, the relative abundance of Rikenellaceae_RC9_gut_group displayed an increasing tendency with escalating feed protein levels. Muscle metabolism analysis revealed that the content of the metabolite Uric acid was significantly higher in the LP group compared to the MP group (P < 0.05). The content of the metabolite L-(+)-Arabinose was significantly increased in the MP group compared to the HP group (P < 0.05), while the content of D-(-)-Glutamine and L-arginine was significantly reduced in the LP group (P < 0.05). The levels of metabolites 13-HPODE, Decanoylcarnitine, Lauric acid, L-(+)-Arabinose, and Uric acid were significantly elevated in the LP group relative to the HP group (P < 0.05). Furthermore, our observations disclosed correlations between rumen microbes and muscle metabolites. The relative abundance of NK4A214_group was negatively correlated with Orlistat concentration; the relative abundance of Christensenellaceae_R-7_group was positively correlated with D-(-)-Glutamine and L-arginine concentrations.DiscussionOur findings offer a foundation for comprehending the rumen microbiome of yaks subjected to different dietary protein levels and the intimately associated metabolic pathways of the yak muscle metabolome. Elucidating the rumen microbiome and muscle metabolome of yaks may facilitate the determination of dietary protein levels.
| S-EPMC10899706 | biostudies-literature