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accession-icon GSE7268
Cryptosporidium infection of human intestinal tissues causes increased expression of Osteoprotegerin
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cryptosporidium hominis and parvum primarily infect intestinal epithelial cells, which, in turn, play a key role in activating and communicating with the host immune system. To determinate which genes are regulated during early infection of non-transformed human epithelial cells, human ileal mucosa was removed (from surgical specimens), placed on collagen membranes, and cultured as explants. Explant cultures were infected with C. parvum, C. hominis, or control culture medium. After 24 hrs, RNA was extracted and analyzed using Affmetrix GeneChip microarrays. Among the more prominent genes with regulated expression was Osteoprotegerin (OPG), which was increased in all of the explants at 24 hrs and further up-regulated 1.58 fold by C. parvum and 2.54 fold by C. hominis infection compared with uninfected explants. Using real time PCR, we confirmed a 3.14 and 3.79 fold increase in OPG mRNA after infection with C. parvum and C. hominis respectively.

Publication Title

Cryptosporidium infection of human intestinal epithelial cells increases expression of osteoprotegerin: a novel mechanism for evasion of host defenses.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP160423
CHD7 is Suppressed in the Perinecrotic/Ischemic Microenvironment and is a Novel Regulator of Angiogenesis
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In a study focused on the role for CHD7 in angiogenesis we completed RNA-sequencing of D456, a glioblastoma xenograft line and neural precursor cells after CHD7 knockdown Overall design: RNA-sequencing after shRNA KD of CHD7 in two cell lines

Publication Title

Chromodomain Helicase DNA-Binding Protein 7 Is Suppressed in the Perinecrotic/Ischemic Microenvironment and Is a Novel Regulator of Glioblastoma Angiogenesis.

Sample Metadata Fields

Treatment, Subject

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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 SRP075377
RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes
  • organism-icon Homo sapiens
  • sample-icon 1600 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Pancreatic islet cells are critical for maintaining normal blood glucose levels and their malfunction underlies diabetes development and progression. We used single-cell RNA sequencing to determine the transcriptomes of 1,492 human pancreatic a-, ß-, d- and PP cells from non-diabetic and type 2 diabetes organ donors. We identified cell type specific genes and pathways as well as 245 genes with disturbed expression in type 2 diabetes. Importantly, 92% of the genes have not previously been associated with islet cell function or growth. Comparison of gene profiles in mouse and human a- and ß-cells revealed species-specific expression. All data are available for online browsing and download and will hopefully serve as a resource for the islet research community. Overall design: Single-cell RNA sequencing of human non-diabetic and type 2 diabetic pancreatic islet cells

Publication Title

RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes.

Sample Metadata Fields

Sex, Age, Specimen part, Race, Subject

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accession-icon SRP076340
Single-Cell RNAseq Reveals That Pancreatic ß-Cells From Very Old Male Mice Have a Young Gene Signature
  • organism-icon Mus musculus
  • sample-icon 207 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Aging improves pancreatic ß-cell function in mice. This is a surprising finding since aging is typically associated with functional decline. We performed single-cell RNA sequencing of ß-cells from 3 and 26 month old mice to explore how changes in gene expression contribute to improved function with age. The old mice were healthy, had reduced blood glucose levels and increased ß-cell mass, which correlated to their body weight. ß-cells from young and old mice had similar transcriptome profiles. In fact, only 193 genes (0.89% of all detected genes) were significantly regulated (= 2-fold; false discovery rate < 0.01; normalized counts > 5). Of these, 183 were downregulated and mainly associated with pathways regulating gene expression, cell cycle, cell death and survival as well as cellular movement, function and maintenance. Collectively, our data show that ß-cells from very old mice have transcriptome profiles similar to those of young mice. These data support previous findings that aging is not associated with reduced ß-cell mass or functional ß-cell decline in mice. Overall design: Single-cell RNA sequencing of mouse pancreatic islet beta cells

Publication Title

Single-Cell RNAseq Reveals That Pancreatic β-Cells From Very Old Male Mice Have a Young Gene Signature.

Sample Metadata Fields

Sex, Age, 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 SRP070425
Use of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells
  • organism-icon Mus musculus
  • sample-icon 622 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study provides an assessment of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells. The system combines microfluidic technology and nanoliter-scale reactions. We sequenced 622 cells allowing identification of 341 islet cells with high-quality gene expression profiles. The cells clustered into populations of alpha-cells (5%), beta-cells (92%), delta-cells (1%) and PP-cells (2%). We identified cell-type specific transcription factors and pathways primarily involved in nutrient sensing and oxidation and cell signaling. Unexpectedly, 281 cells had to be removed from the analysis due to low viability (23%), low sequencing quality (13%) or contamination resulting in the detection of more than one islet hormone (64%). Collectively, we provide a resource for identification of high-quality gene expression datasets to help expand insights into genes and pathways characterizing islet cell types. We reveal limitations in the C1 Fluidigm cell capture process resulting in contaminated cells with altered gene expression patterns. This calls for caution when interpreting single-cell transcriptomics data using the C1 Fluidigm system. Overall design: Single-cell RNA sequencing of mouse C57BL/6 pancreatic islet cells

Publication Title

Use of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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...

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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