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accession-icon GSE18876
Transcriptional Profile of Aging in Healthy Human Skin
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Gene expression changes were assessed from the non sun-exposed skin of the lower back of 98 healthy males aged 19-86. We show that contrary to previous thought, genome wide transcriptional activity does not display an exclusively linear correlation with ageing, but rather, in human skin, undergoes a period of significant transient change between 30 and 45 years of age. The identified transient transcriptional changes suggest a period of heightened metabolic activity and cellular damage mediated primarily through the actions of TP53 (tumour protein 53) and TNF (tumour necrosis factor). We also identified a subgroup of the population characterised by increased expression of a large group of hair follicle genes that correlates strongly with a younger age of onset and increasing severity of androgenetic alopecia.

Publication Title

Transcriptome analysis of human ageing in male skin shows mid-life period of variability and central role of NF-κB.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE41136
Arabidopsis transcription factor ANAC017 is a necessary and central control point for normal transcriptome changes in response to reactive oxygen signals, such as H2O2, and specific mitochondrial retrograde stress signals
  • organism-icon Arabidopsis thaliana
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Stresses that target mitochondrial function lead to altered transcriptional responses for 100-1000s of genes genome wide, and are signalled via retrograde communication pathways within the cell. rao2 mutants contain a mutation in the NAC family transcription factor ANAC017 and cannot induce stress responsive genes (such as the mitochondrial alternative oxidase 1a) in response to mitochondrial dysfunction. We sought to define the global gene network regulated through RAO2 function in response to mitochondrial stress (mimicked through treatment of plants with antimycin A - a specific inhibitor of complex III in the mitochondrial electron transfer chain), and non-specific stress signals such as hydrogen peroxide. We have defined global stress responses that are positively and negatively mediated by RAO2 function, and show that greater than 80% of transcripts that are differentially regulated under H2O2 stress require proper functioning of ANAC017 for a normal stress responses.

Publication Title

A membrane-bound NAC transcription factor, ANAC017, mediates mitochondrial retrograde signaling in Arabidopsis.

Sample Metadata Fields

Treatment

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accession-icon GSE85114
A transcriptomic signature of mouse liver progenitor cells
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A transcriptomic meta-analysis of over 400 microarrays was undertaken to compare LPC lines against datasets of; muscle and embryonic stem cell lines, embryonic and developed liver (DL), and HCC. Uploaded here, is the array data from seven of the ten LPC lines used. These seven were prepared in our laboratory. The remaining LPC arrays and arrays from other tissues/cells were obtained from the GEO.

Publication Title

A Transcriptomic Signature of Mouse Liver Progenitor Cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-3328
Transcription profiling by array of Arabidopsis wild-type seedlings and either single or double knock-out mutants of LETM1 or LETM2
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Arabidopsis ATH1 Genome Arrays were used to analyse changes in transcript abundance between Col-0 (wild-type) Arabidopsis seedlings and either single T-DNA insertional KO mutants of LETM1 (At3g59820)(T-DNA lines; SALK_067558C (letm1-1) and SALK_058471 (letm1-2)) or LETM2 (At1g65540) (T-DNA line; SALK_068877 (letm2-1)). Additionally, letm1 and letm2 knock out Arabidopsis lines were crossed to generate double mutants, however a double knock-out of these two genes results in an embryo lethal phenotype. Hemizygous plants were generated that were homozygous knock out for LETM1 and heterozygous knock out for LETM2, and visa versa, termed (letm1(-/-)LETM2(+/-) and (LETM1(+/-)letm2(-/-) respectively. Note that (letm1(-/-)LETM2(+/-) displays a mild developmental defective phenotype in the first 10-14 days of growth, while (LETM1(+/-)letm2(-/-) shows no phenotype. Microarray analysis was carried out on all three single homozygous knock out lines, and also on both combinations of the hemizygous mutation between the two genes, and compared with a wild-type Col-0 control to gain insight into global transcript abundance changes in these mutant lines. Arrays were performed in triplicate for each genotype, from RNA isolated from 3 independent pools of 5-10 Arabidopsis seedlings at 10 days old.

Publication Title

LETM proteins play a role in the accumulation of mitochondrially encoded proteins in Arabidopsis thaliana and AtLETM2 displays parent of origin effects.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE20556
Karrikin responses in Arabidopsis thaliana seed
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Karrikins promote seed germination in Arabidopsis thaliana. Completion of germination (protrusion of the radicle) is not observed until ~72 h in dormant wildtype seed under these conditions. We used microarrays to examine karrikin-induced transcriptional changes after 24 h of imbibition. Transcriptional changes may indicate events leading to karrikin-induced germination or karrikin-specific markers.

Publication Title

Karrikins enhance light responses during germination and seedling development in Arabidopsis thaliana.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon E-MEXP-3045
Sulphur dioxide evokes large scale reprogramming of the grape berry transcriptome
  • organism-icon Vitis vinifera
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Vitis vinifera (Grape) Genome Array (vitisvinifera)

Description

Sulphur is used as a food preservative, especially throughout the table grape and wine industries, <br></br>however there is increasing concern as to the health rises associated with human consumption. <br></br>Thus, we investigated the transcript abundance changes in grapes treated with sulfur dioxide and <br></br>other preservative compounds, compared to control treatments. Export quality, red-skinned ‘Crimson<br></br> Seedless’ grapes (Vitis vinifera L.) were harvested at commercial maturity from one vineyard <br></br>in the Swan Valley region of Western Australia. At least 15 kg grapes per treatment were <br></br>completely immersed in the treatment solution (? 1 min) and allowed to dry on racks before <br></br>being weighed in to 7 x 2 kg lined export cartons, without sulphur pads. Once packed, cartons <br></br>were immediately placed in 2 °C storage for up to 56 days and once cool, commercial <br></br>SO2-generating pads were placed into cartons for SO2 treatment. The salicylic acid (SA,<br></br> 25 mM), methyl jasmonate (MJ, 5mM) and their combination (25 mM SA + 5 mM MJ) were <br></br>dissolved in 0.5 % (v/v) dimethyl sulphoxide (DMSO). A 0.5 % solution of DMSO was used<br></br> as a control treatment. An additional, untreated control for sulphur-treated berries was used.<br></br>Microarrays were performed in duplicate for the 6 treatments, Sulfur dioxide (plus untreated <br></br>control), SA, MJ, and the combined SAMJ treatment (plus DMSO control) on grape berries <br></br>after 21 days of treatment post harvest. The results indcate a large scale re-programing of <br></br>the grape berry transcritpome, similar to that which has been observed for prolonged <br></br>exposure to harsh oxidative stress conditions.

Publication Title

Sulphur dioxide evokes large scale reprogramming of the grape berry transcriptome

Sample Metadata Fields

Specimen part, Compound

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accession-icon GSE136906
A transcriptional analysis of normotrophic scar and control fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

3mm punch biopsies were taken from a healed normotrophic scar and a contralateral matched control site in burn patients with a scar at least 1 year old. Fibroblasts were cultured from explants to passage 2 and RNA was extracted and run on expression arrays to examine differences in scar and control fibroblast gene expression

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon E-MEXP-3309
Transcription profiling by array of Arabidopsis tim23 knock-out and over-expressing plants compared to wild-type
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of changes in global transcript abundance profiles of 2 week old tim23 OE (overexpressor) and tim23 KO (knock-out) mutant Arabidopsis plants complared to wild-type (Col-0) using Affymetrix GeneChipル Arabidopsis ATH1 Genome Arrays.

Publication Title

Dual location of the mitochondrial preprotein transporters B14.7 and Tim23-2 in complex I and the TIM17:23 complex in Arabidopsis links mitochondrial activity and biogenesis.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE45618
Expression analysis of BL6 murine megakaryocyte progenitors from bone marrow and fetal Liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

About 10% of Down syndrome (DS) infants are born with a myeloproliferative disorder (DS-TMD) that spontaneously resolves within the first few months of life. About 20-30% of these infants subsequently develop acute megakaryoblastic leukemia (DS-AMKL). In order to understand differences that may exist between fetal and bone marrow megakaryocyte progenitor cell populations we flow sorted megakaryocyte progenitor cells and performed microarray expression analysis.

Publication Title

Developmental differences in IFN signaling affect GATA1s-induced megakaryocyte hyperproliferation.

Sample Metadata Fields

Specimen part

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accession-icon GSE45619
Expression analysis of GATA1s murine megakaryocyte progenitors from bone marrow and fetal Liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

About 10% of Down syndrome (DS) infants are born with a myeloproliferative disorder (DS-TMD) that spontaneously resolves within the first few months of life. About 20-30% of these infants subsequently develop acute megakaryoblastic leukemia (DS-AMKL). In order to understand differences that may exist between fetal and bone marrow megakaryocyte progenitor cell populations we flow sorted megakaryocyte progenitor cells and performed microarray expression analysis.

Publication Title

Developmental differences in IFN signaling affect GATA1s-induced megakaryocyte hyperproliferation.

Sample Metadata Fields

Specimen part

View Samples
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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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