Project description:We sequenced the miRNAs in the liver tissues of goats to further enrich and elucidate the miRNA expression profile in their physiological cycle. The liver tissues were procured at 5-time points from the Laiwu black goats of 1 day, 2 weeks, 4 weeks, 8 weeks, and 12 weeks of age, respectively with 5 goats per time point, for a total of 25 goats. This study identified 1255 miRNAs.
Project description:Laiwu black goat kid liver mRNA expression profile were sequenced with novaSeq 6000. The liver tissues were procured at 5-time points from the Laiwu black goats of 1 day, 2 weeks, 4 weeks, 8 weeks, and 12 weeks of age, respectively with 5 goats per time point, for a total of 25 goats.
Project description:Establishment and maintenance of spermatogenesis need a complex process and vast regulatory network. There is growing evidence reveals that long noncoding RNAs (lncRNA) plays important role in regulating testicular development and spermatogenesis in a stage-specific way. We here report the identification of lncRNA LOC108635509 as key lncRNA regulator in black goat spermatogenesis. In the current study, we screened the transcriptomes (lncRNA and mRNA) of testicular from Guangxi black goats before puberty (3 days old, D3; 30 days old, D30), puberty (90 days old, D90) and postpuberty (180 days old, D180), and found there were 1211, 12180, 834 differential lncRNAs and 1196, 8838,269 differential mRNAs at the ages of D30 vs D3, D90 vs D30, and D180 vs D90. The expression pattern of differentially expressed (DE) lncRNAs indicated that D90 was a key node of lncRNAs participated in the regulation of testicular development and spermatogenesis in black goat. The of GO and KEGG analyses identified that DE lncRNAs and their target genes regulated spermatogenesis through MAPK, Ras, and PI3K-Akt signal pathways. Using cis- and trans-acting, 39 DE lncRNA-targeted genes were found to be enriched for male reproduction. Of these, LOC108635509, which specific expressed in testis and upregulated the expression levels at D90, was found participated in the regulation of testicular development through promoting the proliferation of SCs. Overall, this study provides new insight into the regulatory mechanisms that support spermatogenesis and testicular development in black goats.
Project description:we compared the skin transcriptomes of the black- and white-coated region from the Boer and Macheng Black crossbred goat with black head and white body using the Illumina RNA-Seq method. Six cDNA libraries derived from skin samples of the white coat region (n = 3) and black coat region (n = 3) were constructed from three full-sib goats. On average, we obtained approximately 76.5 and 73.5 million reads for each skin sample of black coat and white coat, respectively, of which 75.39% and 76.05% reads were covered in the genome database. Our study provides insight into the transcriptional regulation of two distinct coat color that might serve as a key resource for understanding coat color pigmentation of goat.
Project description:Housekeeping genes (HKG) are constitutively expressed in all tissues while tissue-enriched genes (TEG) are expressed at a much higher level in a single tissue type than in others. HKGs serve as valuable experimental controls in gene and protein expression experiments, while TEGs tend to represent distinct physiological processes and are frequently candidates for biomarkers or drug targets. The genomic features of these two groups of genes expressed in opposing patterns may shed light on the mechanisms by which cells maintain basic and tissue-specific functions. Here, we generate gene expression profiles of 42 normal human tissues on custom high-density microarrays to systematically identify 1,522 HKGs and 975 TEGs and compile a small subset of 20 housekeeping genes which are highly expressed in all tissues with lower variance than many commonly used HKGs. Cross-species comparison shows that both the functions and expression patterns of HKGs are conserved. TEGs are enriched with respect to both segmental duplication and copy number variation, while no such enrichment is observed for HKGs, suggesting the high expression of HKGs are not due to high copy numbers. Analysis of genomic and epigenetic features of HKGs and TEGs reveals that the high expression of HKGs across different tissues is associated with decreased nucleosome occupancy at the transcription start site as indicated by enhanced DNase hypersensitivity. Additionally, we systematically and quantitatively demonstrated that the CpG islands' enrichment in HKGs transcription start sites (TSS) and their depletion in TEGs TSS. Histone methylation patterns differ significantly between HKGs and TEGs, suggesting that methylation contributes to the differential expression patterns as well.We have compiled a set of high quality HKGs that should provide higher and more consistent expression when used as references in laboratory experiments than currently used HKGs. The comparison of genomic features between HKGs and TEGs shows that HKGs are more conserved than TEGs in terms of functions, expression pattern and polymorphisms. In addition, our results identify chromatin structure and epigenetic features of HKGs and TEGs that are likely to play an important role in regulating their strikingly different expression patterns. We performed microarray experiment on more tissues and probesets in additional to the previous GEO submission (Series GSE11863). In brief, PolyA+ purified RNA pooled from multiple donors of a single human tissue type (e.g. cerebellum) were amplified with random primers and hybridized on a two-color ink-jet oligonucletodie microarray against a common reference pool, comprising ~20 normal adult tissue pools, on custom microarray patterns containing probes to monitor every exon and exon-exon junction in transcript databases, patent databases, and predicted from mouse transcripts. Data were analyzed for gene expression (the average of multiple probes), exon and junction expression, and splice form proportionality.
Project description:High-altitude adaptation is a representative example of vertebrates getting adapted to harsh and extreme environments. To investigate the miRNA expression alterations of goats that were induced by high altitude stress, we performed comparative miRNA transcriptome analysis on six hypoxia-sensitive tissues (heart, kidney, liver, lung, skeletal muscle and spleen) in two indigenous goat populations from distinct altitudes (600 m and 3000 m). We obtained the expression of 1391 mature miRNAs and identified 138 differentially expressed miRNAs between altitudes. Combined with tissue specificity analysis, we illustrated alterations of expression levels between altitudes and among tissues, which suggested the coexisting tissue-specific and tissue-conserved mechanism for hypoxia adaptation. Notably, the interplay between DE miRNA and DE target genes strongly indicated post-transcriptional regulation in HIF-1 signaling pathway, insulin signaling pathway and p53 signaling pathway, which might play a significant role in high altitude adaptation in domestic goats. These results provide insights into the complicated miRNA expression pattern and regulatory mechanism of high altitude adaptation in domestic goats.
Project description:We deep sequenced and analyzed circRNA using deep RNA sequencing (RNA-seq) in pre-ovulatory follicle samples of Macheng black goats and Boer goats. We analyzed the RNA-seq data with 301 million reads and 288 million reads, and reveal the expression profiles of circRNAs and predicted 13,950 circRNAs. 827 circRNA host genes, mostly related to transferase activity and metabolic process. Twenty-four circRNAs were upregulated and 13 were downregulated in the pre-ovulatory follicles of the Boer group compared to their expression in the Macheng group.
Project description:Background Housekeeping genes (HKG) are constitutively expressed in all tissues while tissue-enriched genes (TEG) are expressed at a much higher level in a single tissue type than in others. HKGs serve as valuable experimental controls in gene and protein expression experiments, while TEGs tend to represent distinct physiological processes and are frequently candidates for biomarkers or drug targets. The genomic features of these two groups of genes expressed in opposing patterns may shed light on the mechanisms by which cells maintain basic and tissue-specific functions. Results Here, we generate gene expression profiles of 42 normal human tissues on custom high-density microarrays to systematically identify 1,522 HKGs and 975 TEGs and compile a small subset of 20 housekeeping genes that can be used as experimental reference and are superior to many commonly used HKGs. Cross-species comparison shows that both the functions and expression patterns of HKGs are conserved. TEGs are enriched with respect to both segmental duplication and copy number variation, while no such enrichment is observed for HKGs, suggesting the high expression of HKGs are not due to high copy numbers. Analysis of genomic and epigenetic features of HKGs and TEGs reveals that the high expression of HKGs across different tissues is associated with decreased nucleosome occupancy at the transcription start site as indicated by enhanced DNase hypersensitivity. Additionally, we systematically and quantitatively demonstrated that the CpG islands' enrichment in HKGs transcription start sites (TSS) and their depletion in TEGs TSS. Histone methylation patterns differ significantly between HKGs and TEGs, suggesting that methylation contributes to the differential expression patterns as well. Conclusions We have compiled a set of high quality HKGs that should provide higher and more consistent expression when used as references in laboratory experiments than currently used HKGs. The comparison of genomic features between HKGs and TEGs shows that HKGs are more conserved than TEGs in terms of functions, expression pattern and polymorphisms. In addition, our results identify chromatin structure and epigenetic features of HKGs and TEGs that are likely to play an important role in regulating their strikingly different expression patterns. PolyA+ purified RNA pooled from multiple donors of a single human tissue type (e.g. cerebellum) were amplified with random primers and hybridized on a two-color ink-jet oligonucletodie microarray against a common reference pool, comprising ~20 normal adult tissue pools, on custom microarray patterns. Total 42 normal human tissues were testes against the pools. This dataset is part of the TransQST collection.
Project description:The present study, for the first time, compared the transcriptomes of ovaries from the prolific Jintang black goat and the non-prolific Tibetan goat during follicular phase using the Illumina RNA-Seq method. The study provides insight into the transcriptional regulation in the ovaries of two distinct breeds of goats that might serve as a key resource for understanding goat fecundity.
Project description:In pancreatic cancer clinical trials, Black patients are under-represented while having higher morbidity and mortality rates as compared to other racial groups. Multiple factors, including socioeconomic and lifestyle factors may contribute to this disparity, but genomic contributions remain unclear. In an exploratory project to identify genes that may contribute to differences in survival between Black and White patients with pancreatic cancer, transcriptomic sequencing of over 24,900 genes was performed in human pancreatic tumor and non-tumor tissue obtained from Black and White patients. Over 4,400 genes were differentially expressed in tumor and non-tumor tissue, irrespective of race. Of these 4,400 genes, four (AGR2, POSTN, TFF1, and CP) met the pre-defined statistical threshold for upregulation in pancreatic tumor tissue; these findings were confirmed by quantitative PCR. Transcriptomic analysis of pancreatic tumor tissue in Black and White patients revealed differential expression in 1,200 genes. Non-tumor and tumor gene expression differences within each race were assessed, revealing over 1,500 tumor-specific differentially expressed genes in pancreatic tumor and non-tumor tissue from Black patients. We identified TSPAN8 as a potential tumor-specific gene significantly overexpressed in pancreatic tumor tissue in Black patients as compared to White patients. Using Ingenuity Pathway Analysis software to compare the race-associated gene expression profiles, over 40 canonical pathways were identified to be potentially impacted by the gene expression differences between the races. Heightened expression of TSPAN8 was associated with poor overall survival, suggesting TSPAN8 as one potential genetic factor contributing to the differential outcomes in Black patients with pancreatic cancer, supporting the potential utility of larger genomic studies to further explore the role of TSPAN8 in pancreatic cancer.