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accession-icon GSE58997
Expression data from livers from Sco1 liver-specific KO and WT adult mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Sco1 is a gene required for cytochrome c oxidase biogenesis and the regulation of copper homeostasis. We characterized the transcriptional changes that occur as a result of liver-specific deletion of Sco1 in mice at 27 days of age

Publication Title

The Mitochondrial Metallochaperone SCO1 Is Required to Sustain Expression of the High-Affinity Copper Transporter CTR1 and Preserve Copper Homeostasis.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE27851
The persistent milk yield response to frequent milking during early lactation is associated with persistent changes in mammary gene expression
  • organism-icon Bos taurus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

BACKGROUND:

Publication Title

Milk yield responses to changes in milking frequency during early lactation are associated with coordinated and persistent changes in mammary gene expression.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE27380
The acute milk yield response to frequent milking in early lactation is mediated by genes transiently regulated by milk removal.
  • organism-icon Bos taurus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Milking dairy cows four times daily (4X) instead of twice daily (2X) during early lactation stimulates an increase in milk yield that partly persists through late lactation; however, the mechanisms behind this response are unknown. We hypothesized that the acute mammary response to regular milkings would be transient and would involve different genes from those that may be specifically regulated in response to 4X. Nine multiparous cows were assigned at parturition to unilateral frequent milking (UFM; 2X of the left udder half, 4X of the right udder half). Mammary biopsies were obtained from both rear quarters at 5 days in milk (DIM), immediately after 4X glands had been milked (Experiment 1; n = 4 cows), or 2.5 h after both udder halves had last been milked (Experiment 2; n = 5 cows). Affymetrix GeneChip Bovine Genome Arrays were used to measure gene expression. Eight hundred and fifty five genes were differentially expressed in mammary tissue between 2X vs. 4X glands of cows in experiment 1 (FDR 0.05), whereas none were differentially expressed in experiment 2 using the same criterion. We conclude that there is an acute transcriptional response to milk removal, but 4X milking did not elicit differential expression of unique genes. Therefore, there does not appear to be a sustained transcriptional response to 4X milking on day 5 of lactation. Using a differential expression plot of data from both experiments, as well as qRT-PCR, we identified at least two genes that may be responsive to both milk removal and to 4X milking. Therefore, the milk yield response to 4X milking may be mediated by genes that are acutely regulated by removal of milk from the mammary gland.

Publication Title

Acute milk yield response to frequent milking during early lactation is mediated by genes transiently regulated by milk removal.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE65059
Effect of photoperiod during late gestation on bovine mammary trancriptome
  • organism-icon Bos taurus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Cows exposed to short day photoperiod (SD, 8L:16D) during the 60-day non-lactating period prior to parturition produce more milk in their subsequent lactation compared to cows exposed to long day photoperiod (LD,16L:8D). Although this response is well-established in dairy cows, the underlying mechanisms are not understood. We hypothesized that differential gene expression in cows exposed to SD or LD photoperiods during the dry period could be used to identify the functional basis for the subsequent increase in milk production during lactation. Pregnant, multiparous cows were maintained on a SD or LD photoperiod for 60-days prior to parturition. Mammary biopsies were obtained on days -24 and -9 relative to parturition and Affymetrix GeneChip Bovine Genome Arrays were used to quantify gene expression. Sixty-four genes were differentially expressed (p 0.05 and fold-change |1.5|) between SD and LD treatments. Many of these genes were associated with cell growth and proliferation, or immune function. Ingenuity Pathway Analysis predicted upstream regulators to include TNF, TGF1, interferon and several interleukins. In addition, expression of 125 genes was significantly different between day -24 and day -9; those genes were associated with milk component metabolism and immune function. The interaction of photoperiod and time affected 32 genes associated with insulin-like growth factor (IGF-I) signaling. Genes differentially expressed in response to photoperiod were associated with mammary development and immune function consistent with the enhancement of milk yield in the ensuing lactation. Our results provide insight into the mechanisms by which photoperiod affects the mammary gland and subsequently lactation.

Publication Title

Responses of the mammary transcriptome of dairy cows to altered photoperiod during late gestation.

Sample Metadata Fields

Specimen part

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accession-icon GSE44270
Keratinocyte and fibroblast gene expression in skin and keloid scar tissue
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Keloids are scars that extend beyond original wounds and are resistant to treatment. In order to improve understanding of the molecular basis of keloid scarring, we have assessed the genomic profiles of keloid fibroblasts and keratinocytes.

Publication Title

Keloid-derived keratinocytes exhibit an abnormal gene expression profile consistent with a distinct causal role in keloid pathology.

Sample Metadata Fields

Sex, Age, Specimen part, Race

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accession-icon GSE31838
Tumor-specific retargeting of an oncogenic transcription factor chimera results in dysregulation of chromatin and transcription
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Using EWS-FLI and its parental transcription factor, FLI1, we created a unique experimental system to address questions regarding the genomic mechanisms by which chimeric transcription factors cause cancer. We found that in tumor cells, EWS-FLI targets regions of the genome distinct from FLI1, despite identical DNA-binding domains. In primary endothelial cells, however, EWS-FLI and FLI1 demonstrate similar targeting. To understand this mistargeting, we examined chromatin organization. Regions targeted by EWS-FLI are normally repressed and nucleosomal in primary endothelial cells. In tumor cells, however, bound regions are nucleosome-depleted and harbor the chromatin signature of enhancers. We next demonstrated that through chimerism, EWS-FLI acquired the ability to alter chromatin. Expression of EWS-FLI results in nucleosome depletion at targeted sites, whereas silencing of EWS-FLI in tumor cells restored nucleosome occupancy. Thus, the EWS-FLI chimera acquired chromatin-altering activity, leading to mistargeting, chromatin disruption, and ultimately transcriptional dysregulation.

Publication Title

Tumor-specific retargeting of an oncogenic transcription factor chimera results in dysregulation of chromatin and transcription.

Sample Metadata Fields

Cell line

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accession-icon GSE17539
Expression profile of grafted human engineered skin substitutes compared with intact human
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The goal of the experiment: To characterize the dynamic gene expression profile of engineered human skin in vitro and after grafting, and compare with expression profile of uninjured human skin.

Publication Title

Engineered human skin substitutes undergo large-scale genomic reprogramming and normal skin-like maturation after transplantation to athymic mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE64434
Rescue of CD8+ T cell vaccine memory in mice following sublethal g radiation exposure
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

In two disparate models, we show that rapid revaccination following sublethal gamma radiation exposure rescues memory CD8+ T cell Responses.

Publication Title

Rescue of CD8+ T cell vaccine memory following sublethal γ irradiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP158623
Expression profiling of NRAS knockout in embryonal rhabdomyosarcoma (ERMS) cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Targeted disruption of NRAS was performed in a stable 381T ERMS cell line harboring tamoxifen inducible CRISPR/Cas9 gRNA against NRAS Overall design: RNA sequencing was performed using RNA extracted from uninduced control 381T ERMS cells as well as tamoxifen (TAM)-induced ERMS cells with NRAS CRISPR/Cas9-mediated knockout. Each in 3 biological replicates.

Publication Title

Oncolytic Virus-Mediated RAS Targeting in Rhabdomyosarcoma.

Sample Metadata Fields

Subject

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accession-icon SRP144485
Human 5' UTR design and variant effect prediction from a massively parallel translation assay
  • organism-icon Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge IconNextSeq 550

Description

Predicting the impact of cis-regulatory sequence on gene expression is a foundational challenge for biology. We combine polysome profiling of hundreds of thousands of randomized 5' UTRs with deep learning to build a predictive model that relates human 5' UTR sequence to translation. Together with a genetic algorithm, we use the model to engineer new 5? UTRs that accurately target specified levels of ribosome loading, providing the ability to tune sequences for optimal protein expression. We show that the same approach can be extended to chemically modified RNA, an important feature for applications in mRNA therapeutics and synthetic biology. We test 35,000 truncated human 5' UTRs and 3,577 naturally-occurring variants and show that the model accurately predicts ribosome loading of these sequences. Finally, we provide evidence of 47 SNVs associated with human diseases that cause a significant change in ribosome loading and thus a plausible molecular basis for disease. Overall design: Polysom profiling and sequencing was performed using a library of 300,000 randomized 5' UTR 50-mers with eGFP used as the CDS. Three RNA chemistries were tested: unmodified, pseudouridine, and 1-methylpseudouridine. These were performed in duplicate (6 samples total). A designed library that includes human 5' UTRs, SNVs, and sequences engineered with a genetic algorithm was used with the eGFP CDS (no duplicate). A second randomized library used mCherry as the CDS, also performed in duplicate.

Publication Title

Human 5' UTR design and variant effect prediction from a massively parallel translation assay.

Sample Metadata Fields

Specimen part, Subject

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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)

fund-icon Fund the CCDL

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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