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Mus musculus
6 Downloadable Samples
Illumina HiSeq 2500
Description
Statins, the cholesterol lowering agents, can increase diabetes incidence and impair glucose tolerance via its detrimental effects on non-hepatic tissues, such as pancreatic islet, but underlying mechanism has not been clarified. In atorvastatin-treated high fat diet mice, we found reduced pancreatic ß-cell size, ß-cell mass, mature insulin granules and reduced insulin secretion along with the deteriorated glucose tolerance. Transcriptome profiling of primary pancreatic islets showed inhibitory effects of atorvastatin on expression of genes encoding key pancreatic transcription factors, mTOR signaling pathway and small G proteins (sGPs).
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Treatment
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SRP168448- Mus musculus
- 12 Downloadable Samples
- Illumina HiSeq 3000
Description
The expression of lncRNAs in the hypothalamic neuronal stem cells of young mice and aged mice.The expression pattern of mRNAs in the hypothalamic neuronal stem cells of aged Hnscr null mice and littermate wild-type mice.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Cell line, Treatment
View Samples- Mus musculus
- 9 Downloadable Samples
- Illumina HiSeq 4000
Description
To get a deeper understanding of molecular mechanism elicited by alogliptin intervention, high-throughput RNA sequencing (RNA-seq) of the expression levels of all genes in the liver was performed
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part
View Samples SRP091899- Rattus norvegicus
- 4 Downloadable Samples
- Illumina HiSeq 2500
Description
This is a whole transcriptome sequencing data of rat testis. YY1 gene was knocked down in Experimental animals under Sertoli cell specific and puberty specific promoter. These knockdown animals were compared with the control animals.
Publication Title
An integrated transcriptomics-guided genome-wide promoter analysis and next-generation proteomics approach to mine factor(s) regulating cellular differentiation.
Sample Metadata Fields
No sample metadata fields
View Samples- Danio rerio
- 14 Downloadable Samples
- IlluminaHiSeq1000
Description
RNA-seq data from control and MCT8 morphant zebrafish embryos at 25hpf
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 576 Downloadable Samples
- IlluminaHiSeq2000
Description
Analyze the transcriptomes of 347 cells from 10 distinct populations in both of low-coverage (~0.27 million reads per cell) and high-coverage (~5 million reads per cell) to identify cell-type-specific biomarkers, and to compare gene expression across samples specifically for cells of a given type as well as to reconstruct developmental lineages of related cell types.
Publication Title
Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.
Sample Metadata Fields
No sample metadata fields
View Samples- Drosophila melanogaster
- 9 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
Investigate the genetic mechanism bebind cold stress for insects.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line
View Samples- Mus musculus
- 4 Downloadable Samples
- Illumina HiSeq 2000
Description
Spermatogenesis is a complex differentiation process that involves the successive and simultaneous execution of three different gene expression programs: mitotic proliferation of spermatogonia, meiosis, and spermiogenesis. Testicular cell heterogeneity has hindered its molecular analyses. Moreover, the characterization of short, poorly represented cell stages such as initial meiotic prophase ones (leptotene and zygotene) has remained elusive, despite their crucial importance for understanding the fundamentals of meiosis.We have developed a flow cytometry-based approach for obtaining highly pure stage-specific spermatogenic cell populations, including early meiotic prophase. Here we combined this methodology with next generation sequencing, which enabled the analysis of meiotic and postmeiotic gene expression signatures in mouse with unprecedented reliability. Interestingly, we found that a considerable number of genes involved in early as well as late meiotic processes are already on at early meiotic prophase, with a high proportion of them being expressed only for the short time lapse of lepto-zygotene stages. Besides, we observed a massive change in gene expressionpatterns during medium meiotic prophase (pachytene) when mostly genes related to spermiogenesis and sperm function are already turned on. This indicates that the transcriptional switch from meiosis to post-meiosis takes place very early, during meiotic prophase, thus disclosing a higher incidence of post-transcriptional regulationin spermatogenesis than previously reported. Moreover, we found that a good proportion of the differential gene expression in spermiogenesis corresponds to up-regulation of genes whose expression starts earlier, at pachytene stage; this includes transition protein- and protamine-coding genes, which have long been claimed to switch on during spermiogenesis. In addition, our results afford new insights concerning X chromosome meiotic inactivation and reactivation. This work provides for the first time an overview of the time course for the massive onset and turning off of the meiotic and spermiogenic genetic programs. Importantly, our data represent a highly reliable information set about gene expression in pure testicular cell populations including early meiotic prophase, for further data mining towards the elucidation of the molecular bases of male reproduction in mammals.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Cell line
View Samples- Homo sapiens
- 6 Downloadable Samples
- IlluminaHiSeq2500
Description
Hypoxia plays important roles in progression of chronic kidney diseases. HIF1 (hypoxia inducible factor 1) is a master transcriptional factor under hypoxic condition. To clarify the molecular mechanisms of HIF1 and identify novel linc RNAs under hypoxia, we performed RNA-seq using human renal proximal tubular epithelial cells (RPTEC). In addition, we use Dznep which is an inhibitor of H3K27me3 to examine the relationship between HIF1 and epigenetic modifiers under hypoxia.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- IlluminaHiSeq2500
Description
Hypoxia plays important roles in progression of chronic kidney diseases. HIF1 (hypoxia inducible factor 1) is a master transcriptional factor under hypoxic condition. To clarify the molecular mechanisms of HIF1 and identify novel lincRNAs under hypoxia, we performed RNA-seq using human renal proximal tubular cells (HK2: human kidney-2). In addition, we use Dznep which is an inhibitor of H3K27me3 to examine the relationship between HIF1 and epigenetic modifiers under hypoxia.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples