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Rattus norvegicus
15 Downloadable Samples
Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integrative analysis reveals novel pathways mediating the interaction between adipose tissue and pancreatic islets in obesity in rats.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 6 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Changes in the secretion profile of visceral-pancreatic white adipose tissue due to diet-induced obesity are partially responsible for increased beta cell replication, suggesting that a crosstalk between pWAT and beta cells may play a role in regulating beta cell plasticity. The molecular mechanisms underlying this cross-talk are still not fully understood.
Publication Title
Integrative analysis reveals novel pathways mediating the interaction between adipose tissue and pancreatic islets in obesity in rats.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219)
Description
The mechanisms that allow breast cancer cells to metabolically sustain growth are poorly understood. In breast cancer, FoxA1 transcription factor, along with estrogen receptor, regulates luminal cell specification and proliferation. Here we report that FoxA transcription factor family members FoxA1 and FoxA2 fuel cellular growth in breast cancer through the expression of a common target gene, namely the endothelial lipase (LIPG)
Publication Title
FoxA and LIPG endothelial lipase control the uptake of extracellular lipids for breast cancer growth.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 116 Downloadable Samples
Illumina HiSeq 2000
Description
Find the casual relationship between gene expression network and cellular phenotype at single cell resolution. We collected donated human pre-implatation embryos, and the embryonic stem cells derived from them, isolate individual cells, prepared single cell cDNAs, and sequenced them by HiSeq2000. Then we analyzed the expression of known RefSeq genes. Overall design: We get transcriptome of 124 individual cells from human pre-implantation embryos and human embryonic stem cells by applying single cell RNA-seq technique we recently developed[1][2][3][4]. We did in-depth bioinformatic analysis to these data and found very dynamic expression of protein-coding genes. [1] Tang, F. et al. (2010a) Tracing the Derivation of Embryonic Stem Cells from the Inner Cell Mass by Single-Cell RNA-Seq Analysis. Cell Stem Cell 6, 468-478. [2] Tang, F. et al. (2010b) RNA-Seq analysis to capture the transcriptome landscape of a single cell. Nat Protocols 5, 516-535. [3] Tang, F. et al. (2009) mRNA-Seq whole-transcriptome analysis of a single cell. Nat Meth 6, 377-382. [4] Tang, F. et al. (2011) Development and applications of single-cell transcriptome analysis. Nat Meth 8, S6-S11.
Publication Title
Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
We used Affymetrix microarrays to understand the genome wide differences in Wildtype and Gli3 mutant (Gli3+/- and Gli3-/-) (n=2) embryonic day 18.5 DP CD69-, DP CD69+ and SP4 thymocytes.
Publication Title
Gli3 in fetal thymic epithelial cells promotes thymocyte positive selection and differentiation by repression of <i>Shh</i>.
Sample Metadata Fields
Specimen part
View Samples
SRP032537- Mus musculus
- 5 Downloadable Samples
- Illumina Genome Analyzer
Description
Atrial specific knockout of Nkx2-5 results in hyperplastic atria with ASD and conduction defects. To examine how Nkx2-5 regulates cardiac proliferation at late gestational stages, RNA-seq was performed. Overall design: Examination of expression profile of 2 Nkx2-5-null atria and 3 controls
Publication Title
Nkx2-5 suppresses the proliferation of atrial myocytes and conduction system.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 3 Downloadable Samples
- Illumina Genome Analyzer II
Description
An in-depth analysis of miRNomes in 3 human myeloid leukemia cell lines was carried out to comprehensively identify miRNAs that distinguish acute and chronic myeloid leukemias and relate to myeloid cell differentiation. Overall design: Characterization the miRNomes in 3 myeloid leukemia cell lines.
Publication Title
Characterization of miRNomes in acute and chronic myeloid leukemia cell lines.
Sample Metadata Fields
Specimen part, Disease, Cell line, Subject
View Samples- Homo sapiens
- 5 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The colorectal adenoma-carcinoma sequence describes the stepwise progression from normal to dysplastic epithelium and then to carcinoma; only a small proportion of colorectal adenoma (CRA) progresses to colorectal carcinoma (CRC). Presently, endoscopic intervention is used on patients with CRAs of high grade dysplasia, diameters > 1 cm, or villous components > 25% who are at higher risk than other CRA sufferers. During the process, biopsy samples were taken for conventional histological diagnosis, but poor pathomorphological sensitivity and specificity greatly limit the diagnostic accuracy. Unfortunately, there are no reliable molecular criteria available that can predict the potential development of CRA to CRC. In present study, we use microarrays to detail the global programme of gene expression underlying the gradual progress of colorectal adenoma-carcinoma sequence.
Publication Title
Identification of an intermediate signature that marks the initial phases of the colorectal adenoma-carcinoma transition.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 122 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
The role of chronic hepatitis C virus (HCV) in the pathogenesis of HCV-associated hepatocellular carcinoma (HCC) is not completely understood, particularly at the molecular level.
Publication Title
Genes involved in viral carcinogenesis and tumor initiation in hepatitis C virus-induced hepatocellular carcinoma.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 21 Downloadable Samples
- Illumina HiSeq 2000
Description
Pneumonic plague is the most deadly form of infection caused by Yersinia pestis and can progress extremely fast. However, our understanding on the host transcriptomic response to pneumonic plague is insufficient. Here, we used RNA-sequencing technology to analyze transcriptomic responses in mice infected with fully virulent strain 201 or EV76, a live attenuated vaccine strain lacking the pigmentation locus. Approximately 600 differentially expressed genes (DEGs) were detected in lungs from both 201- and EV76-infected mice at 12 hours post-infection (hpi). DEGs in lungs of 201-infected mice exceeded 2,000 at 48 hpi, accompanied by sustained large numbers of DEGs in the liver and spleen; however, limited DEGs were detected in those organs of EV-infected mice. Remarkably, DEGs in lungs were significantly enriched in critical immune responses pathways in EV76-infected but not 201-infected mice, including antigen processing and presentation, T cell receptor signaling among others. Pathological and bacterial load analyses confirmed the rapid systemic dissemination of 201-infection and the confined EV76-infection in lungs. Our results demonstrate that fully virulent Y. pestis strongly inhibits both the innate and adaptive immune responses that are substantially stimulated in a self-limited infection, which update our holistic views on the transcriptomic response to pneumonic plague. Overall design: We used RNA-sequencing technology to analyze transcriptomic responses in lungs, spleen and liver of mice infected with fully virulent strain 201 or EV76 at 12, 48 and 72 hpi.
Publication Title
Host transcriptomic responses to pneumonic plague reveal that Yersinia pestis inhibits both the initial adaptive and innate immune responses in mice.
Sample Metadata Fields
Sex, Specimen part, Cell line, Subject, Time
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