Filters
Technology
Platform
SRP074754
Caenorhabditis elegans
6 Downloadable Samples
Illumina HiSeq 2500
Description
Mapping the transcriptomes governed by TCER-1 and DAF-16 upon germline loss
Publication Title
DAF-16 and TCER-1 Facilitate Adaptation to Germline Loss by Restoring Lipid Homeostasis and Repressing Reproductive Physiology in C. elegans.
Sample Metadata Fields
Sex, Specimen part, Disease, Cell line
View Samples- Mus musculus
- 12 Downloadable Samples
- Illumina HiSeq 2500
Description
NGS was used in order to discover novel downstream targets of the miR-17-92/106b clusters. Overall design: Comperasion of gene expression from miR-17-92/106b KO and control
Publication Title
miR-17-92 and miR-106b-25 clusters regulate beta cell mitotic checkpoint and insulin secretion in mice.
Sample Metadata Fields
Specimen part, Cell line, Subject
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- 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- 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
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
MicroRNA-146a directs the symmetric division of Snail-dominant colorectal cancer stem cells.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 4 Downloadable Samples
- IlluminaGenomeAnalyzerII
Description
Colorectal carcinoma (CRC) is one of the most common cancers worldwide. Re-evaluating our current knowledge on CRC and developing novel therapeutic strategies is still crucial. Accumulating evidence suggests that cancer cells possess characters reminiscent of those of normal stem cells. Unveiling small RNAs responsible for cell stemness and chemoradioresistance should eventually lead to the development of novel therapeutic approaches. Overall design: Expression profiles of parental CRC cells and cancer spheres expanded under stem cell medium cultivation were generated for identifying key regulators.
Publication Title
MicroRNA-146a directs the symmetric division of Snail-dominant colorectal cancer stem cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 3 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
miRNAs exert various biological functions by targeting different cellular targets. Studying miR-146a functions in colon cancer cells helps to understand colorectal cancer (CRC) malignancy and progression.
Publication Title
MicroRNA-146a directs the symmetric division of Snail-dominant colorectal cancer stem cells.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 148 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Within the human gut reside diverse microbes coexisting with the host in a mutually advantageous relationship. We comprehensively identified the modulatory effects of phylogenetically diverse human gut microbes on the murine intestinal transcriptome. Gene-expression profiles were generated from the whole-tissue intestinal RNA of mice colonized with various single microbial strains. The selection of microbe-specific effects, from the transcriptional response, yielded only a small number of transcripts, indicating that symbiotic microbes have only limited effects on the gut transcriptome overall. Moreover, none of these microbe-specific transcripts was uniformly induced by all microbes. Interestingly, these responsive transcripts were induced by some microbes but repressed by others, suggesting different microbes can have diametrically opposed consequences.
Publication Title
Mining the Human Gut Microbiota for Immunomodulatory Organisms.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples