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accession-icon SRP185826
Next Generation Sequencing of langerhans islets of miR-17-92/106b KO vs control
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP074754
Caenorhabditis elegans Raw sequence reads
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP011546
Tracing pluripotency of human early embryos and embryonic stem cells by single cell RNA-seq
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP026144
Characterization of miRNomes in acute and chronic myeloid leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon GSE22242
Identification of an intermediate signature that marks the initial phases of colorectal adenoma-carcinoma transition
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon SRP078421
Host Transcriptomic responses to pneumonic plague reveal that Yersinia pestis inhibits both the initial adaptive and innate immune responses in mice
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina 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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accession-icon GSE43802
Characterization of Snail-associated small RNAs in colon cancer cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon SRP018284
Identification of differentially expressed small RNAs of colon cancer stem cells.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

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

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accession-icon GSE37596
Role of miR-146a in colon cancer cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE88919
Mining the microbiome for modulatory effects on the murine intestinal transcriptome
  • organism-icon Mus musculus
  • sample-icon 148 Downloadable Samples
  • Technology Badge Icon 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

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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