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accession-icon GSE14334
Transcriptomic analysis of human lung development
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We decompose the genome-wide expression patterns in 38 embryonic human lung (53-154 days post conception/dpc) into their independent, dominant directions of transcriptomic sample variation in order togain global insight of the developing human lung transcriptome.The characteristic genes and their corresponding bioontologic attribute profile for the latter were identified. We noted the overrepresentation of lung specific attributes (e.g., surfactant proteins) traditionally associated with later developmental stages, and highly ranked attributes (e.g., chemokineimmunologic processes) not previously reported nor immediately apparent in an early lung development context. We defined the 3,223gene union of the characteristic genes of the 3 most dominant sources of variation as the developing lung characteristic subtranscriptome (DLCS). It may be regarded as the minimal gene set describing the essential biology of this process. The developing lung series in this transcriptomic variation perspectiveform a contiguous trajectory with critical time points that both correlate with the 2 traditional morphologic stages overlapping -154 dpc and suggest the existence of 2 novel phases within the pseudoglandular stage. To demonstrate that this characterization is robust, we showed that the model could be used to estimate the gestational age of independent human lung tissue samples with a median absolute error of 5 days, based on the DLCS of their lung profile alone. Repeating this procedure on the homologous transcriptome profiles of developing mouse lung 1419 dpc, we were able to recover their correct developmental chronology.

Publication Title

Transcriptomic analysis of human lung development.

Sample Metadata Fields

Sex, Disease, Race

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accession-icon GSE68896
Age, sexual dimorphism and disease associations in the developing human fetal lung transcriptome
  • organism-icon Homo sapiens
  • sample-icon 313 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Whole human fetal lung transcriptome profiles from estimated gestational ages 54 to 137 days post conception. Maternal cigarette smoking status is indicated by cotinine levels measured in the corresponding placenta.

Publication Title

Age, Sexual Dimorphism, and Disease Associations in the Developing Human Fetal Lung Transcriptome.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP075061
Transcriptome analysis in HT29 and SW480 cells depleted of Prdx2
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Prdx2 is the thioredoxin-dependent peroxidase that reduces H2O2 using reducing power NADPH in the presence of thioredoxin and thioredoxin reductase. Prdx2 plays an important role in growth. factor signaling in mammlian cells. Therefore, we examined the gene expression in colon adenocarcinoma cell line HT29 after Prdx2 depletion. Prdx2 depletion resulted in a significant alteration on gene expression, including protein synthesis, metabolisms, and cell cycle. Overall design: Control-siRNA-transfected versus PRDX2-siRNA-transfected HT29 and SW480 cells

Publication Title

Interaction of tankyrase and peroxiredoxin II is indispensable for the survival of colorectal cancer cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP124875
A facile method for generating tumorigenic cancer stem cell spheroids from diverse cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Although cancer stem cells (CSCs) are thought to be responsible for tumor recurrence and resistance to chemotherapy, CSC-related research and drug development have been hampered by the limited supply of patient-derived diverse CSCs. Here, we developed a functional polymer thin film (PTF) platform that promotes conversion of human cancer cell lines to highly tumorigenic spheroids without the use of biochemical or genetic manipulations. Culturing various human cancer cells on the specific PTF, poly(2,4,6,8-tetravinyl-2,4,6,8-tetramethyl cyclotetrasiloxane) (pV4D4), gave rise to numerous multicellular spheroids within 24 hours, with high efficiency and reproducibility. Cancer cells in the resulting spheroids showed an enormous increase in the expression of CSC-associated genes and acquired dramatically increased drug resistance compared with monolayer-cultured controls. These spheroids also showed greatly enhanced xenograft tumor-forming ability and metastasis capacity in nude mice. By enabling the generation of tumorigenic spheroids as a patient-derived CSC substitute, the surface platform described here will likely contribute to CSC-related basic research and drug development. Overall design: mRNA profiles of 8 day-SKOV3-ssiCSC spheroids and 2D-cultured SKOV3 control were generated by deep sequencing, in duplicate, using Hiseq-2500.

Publication Title

Polymer Thin Film-Induced Tumor Spheroids Acquire Cancer Stem Cell-like Properties.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE51732
Epigenetic silencing of noncoding RNA nc886 provokes oncogenes during esophageal tumorigenesis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

nc886 is a 101 nucleotides long non-coding RNA that is also known as a precursor microRNA or a vault RNA. nc886 has been suggested to be a tumor suppressor, mainly inferred by its expression pattern as well as its genomic location at human chromosome 5q31, a locus for a tumor suppressor gene(s).

Publication Title

Epigenetic silencing of the non-coding RNA nc886 provokes oncogenes during human esophageal tumorigenesis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE74156
An integrated systems biology approach identifies positive cofactor 4 as a pluripotency regulatory factor
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

An integrated systems biology approach identifies positive cofactor 4 as a factor that increases reprogramming efficiency.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE74151
Expression data from three types of spermatogonial stem cells.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Multipotent spermatogonial stem cells (mSSCs) derived from SSCs are a potential new source of individualized pluripotent cells in regenerate medicine such as ESCs. We hypothesized that the culture-induced reprogramming of SSCs was mediated by a mechanism different from that of iPS, and was due to up-regulation of specific pluripotency-related genes during cultivation. Through a comparative analysis of expression profile data, we try to find cell reprogramming candidate factors from mouse spermatogonial stem cells. We used microarrays to analyze the gene expression profiles of culture-induced reprogramming converting unipotent spermatogonial stem cells to pluripotent spermatogonial stem cells.

Publication Title

An integrated systems biology approach identifies positive cofactor 4 as a factor that increases reprogramming efficiency.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP064978
RNA sequencing analysis in WT and Pc4-OE mESC lines.
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Spermatogonial stem cells (SSCs) can spontaneously dedifferentiate into embryonic stem cell (ESC)-like cells, which are designated as multipotent SSCs (mSSCs), without ectopic expression of reprogramming factors. SSCs express key OSKM reprogramming factors at some levels, and do not require ectopic expression of any gene for the acquisition of pluripotency during reprogramming to mSSCs. Therefore, we reasoned that additional factors are required to regulate SSC reprogramming. In this study, we first compared the expression of reprogramming signature genes among somatic cells, iPSC, SSCs, mSSCs, and partially reprogramed cells, and found that they appear to have similar pluripotency states, whereas their transcriptional program differs. We developed a systems biology approach to prioritise genes for pluripotency regulatory factors by integrating transcriptome and interactome data on the genome-wide functional network. Then, we performed a series of systematic gene prioritisation steps and identified 53 candidates, which included some known reprogramming factors. We experimentally validated one particular candidate, Positive cofactor 4 (Pc4), which was expressed in PSCs and yielded a positive RNA interference (RNAi) response in an Oct4 reporter assay. We demonstrated that Pc4 enhanced the efficiency of OSKM-mediated reprogramming by promoting the transcriptional activity of key pluripotency factors, and by regulating the expression of many protein- and miRNA-encoding genes involved in reprogramming and somatic cell-specific genes. Overall design: Pc4-overexpressing mESC lines were established by Venus (YFP)-expressing lentiviral transfection. The mESCs were split at a density of 2 ´ 104 cells onto fresh MEF feeder cells seeded into a 6 well dish (containing mESC growth medium) with virus particles, and 25 µg/ml polybrene (Sigma Aldrich) was added. After 24 h, the medium was replaced with fresh growth medium. After 4 days later, mESC colonies expressing YFP were picked and replated. Three different Pc4-overexpressing mESC lines were established.

Publication Title

An integrated systems biology approach identifies positive cofactor 4 as a factor that increases reprogramming efficiency.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE51342
Comparative gene expression analysis of dental follicle and periodontal ligament in humans
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to evaluate and compare the gene expression profiles of dental follicle and periodontal ligament in humans, which can possibly explain their functions of dental follicle and PDL such as eruption coordination and stress resorption. That may apply this information to clinical problem like eruption disturbance and to periodontal tissue engineering.

Publication Title

Comparative gene-expression analysis of the dental follicle and periodontal ligament in humans.

Sample Metadata Fields

Specimen part

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accession-icon GSE11865
Downstreams of hnRNP A2 in Colo16 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Limited knowledge of the downstream targets of hnRNP A2/B1 has, however, precluded a clear understanding of their roles in cancer cell growth. To define the pathways in which this protein acts we have now carried out microarray experiments with total RNA from Colo16 epithelial cells transfected with an shRNA that markedly suppresses hnRNP A2/B1 expression. The microarray data identified 123 genes, among 22283 human gene probe sets, with altered expression levels in hnRNP A2/B1-depleted cells. Ontological analysis showed that many of these downstream targets are involved in regulation of the cell cycle and cell proliferation and that this group of proteins is significantly over-represented amongst the affected proteins. The changes detected in the microarray experiments were confirmed by real-time PCR for a subset of proliferation-related genes. Immunoprecipitation-RT-PCR demonstrated that hnRNP A2/B1 formed complexes with the transcripts of many of the verified downstream genes, suggesting that hnRNP A2/B1 contributes to the regulation of these genes.

Publication Title

Downstream targets of heterogeneous nuclear ribonucleoprotein A2 mediate cell proliferation.

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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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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