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accession-icon SRP075376
MCF10A H-Ras RNA-Seq
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Paired-end sequencing of Vector and H-Ras expressing cell lines: p53-del and WT-p53 We found that activated forms of H-Ras and PIK3CA oncogene lead to repression of p63, a p53 family member. They also lead to induction of EMT, a cancer-related process. Our results suggest that, through Ras regulation of p63, this oncogene can drive mammary epithelial cells towards greater invasive ability. Overall design: 4 samples analyzed with 3 replicates each, control samples for each H-Ras line are the Vector cell line created at the same time

Publication Title

Repression of p63 and induction of EMT by mutant Ras in mammary epithelial cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon E-MEXP-2506
Transcription profiling by array of rice grown in different light and temperature cycles
  • organism-icon Oryza sativa
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa, ssp. Japonica, cv. Nipponbare 1) plants were grown in a Conviron PGR 15 growth chamber using precise control of temperature, light, and humidity.<br></br>Diurnal (driven) conditions included 12L:12D light cycles and 31C/20C thermocycles in three different combinations. These were: photocycles (LDHH), 12 hrs. light (L)/12 hrs. dark (D) at a constant temperature (31C; HH); photo/thermocycles (LDHC): 12 hrs. light (L) /12 hrs. dark (D) with a high day temperature (31C) and a low night temperature (20C); and thermocycles (LLHC): continuous light (LL) with 12 hrs. high/12 hrs. low temperature (31C, day; 20C, night). Light intensity and relative humidity were 1000 micromol m-2s-2 and 60%, respectively.<br></br>Three-month-old rice plants were entrained for at least one week under the respective condition prior to initiation of each experiment. Leaves and stems from individual rice plants were collected every four hours for 48 hrs in driven (diurnal) conditions followed by a two day freerun spacer under continuous light/temperature followed by two additional days of sampling under the same continuous free run condition.<br></br>

Publication Title

Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon E-MTAB-275
Transcription profiling by array of rice Indica 93-11 after growth in different light and temperature conditions
  • organism-icon Oryza sativa
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa, spp. Indica, cv. 93-11) plants were grown in a Conviron PGR 15 growth chamber using precise control of temperature, light, and humidity.<br></br>Diurnal (driven) conditions included 12L:12D light cycles and 31C/20C thermocycles in three different combinations. These were: photocycles (LDHH), 12 hrs. light (L)/12 hrs. dark (D) at a constant temperature (31C; HH); photo/thermocycles (LDHC): 12 hrs. light (L) /12 hrs. dark (D) with a high day temperature (31C) and a low night temperature (20C); and thermocycles (LLHC): continuous light (LL) with 12 hrs. high/12 hrs. low temperature (31C, day; 20C, night). Light intensity and relative humidity were 1000 micromol m-2s-2 and 60%, respectively.<br></br>Three-month-old rice plants were entrained for at least one week under the respective condition prior to initiation of each experiment. Leaves and stems from individual rice plants were collected every four hours for 48 hrs in driven (diurnal) conditions followed by a two day freerun spacer under continuous light/temperature followed by two additional days of sampling under the same continuous free run condition.

Publication Title

Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules.

Sample Metadata Fields

Age, Specimen part, Time

View Samples
accession-icon GSE65503
Radiation and Dual Checkpoint Blockade Activates Non-Redundant Mechanisms in Cancer
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Response to immune checkpoint inhibitors may be improved through combinations with each other and other therapies, raising questions about non-redundancy and resistance. We report results from parallel studies of melanoma patients and mice treated with anti-CTLA4 and radiation (RT). Although combined treatment improved responses, resistance was common. Computational analyses of immune and transcriptomic profiles (provided here) revealed that resistance in mice was due to upregulation of tumor PD-L1 that drives T cell exhaustion. Accordingly, optimal response requires RT, anti-CTLA4, and anti-PD-L1. Anti-CTLA4 inhibits Tregs, RT diversifies and shapes the TCR repertoire, and anti-PD-L1 reinvigorates exhausted T cells. Together, all three therapies promote the expansion of clonotypes with distinct TCR traits. Similar to mice, patients with melanoma showing high PD-L1 did not respond to RT + anti-CTLA4, demonstrated persistent T cell exhaustion, and rapidly progressed. Thus, the combination of RT, anti-CTLA4, and anti-PD-L1 promotes response through distinct mechanisms.

Publication Title

Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-1304
Transcription profiling of Arabidopsis seedlings grown under thermocycles and/or photocycles or continuous conditions
  • organism-icon Arabidopsis thaliana
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

In most organisms biological processes are partitioned, or phased to specific times over the day through interactions between external cycles of temperature (thermocycles) and light (photocycles), and the endogenous circadian clock. This orchestration of biological activities is achieved in part through an underlying transcriptional network. To understand how thermocycles, photocycles and the circadian clock interact to control time of day specific transcript abundance in Arabidopsis thaliana, we conducted four diurnal and three circadian two-day time courses using Affymetrix GeneChips (ATH1). All time courses were carried out with seven-day-old seedlings grown on agar plates under thermocycles (HC, hot/cold) and/or photocycles (LD, light/dark), or continuous conditions (LL, continuous light; DD, continuous dark, HH, continuous hot). Whole seedlings (50-100), including roots, stems and leaves were collected every four hours and frozen in liquid nitrogen. The four time courses interrogating the interaction between thermocycles, photocycles and the circadian clock were carried out as two four-day time courses. Four-day time courses were divided into two days under diurnal conditions, and two days under circadian conditions of continuous light and temperature. Thermocycles of 12 hours at 22C (hot) and 12 hours at 12C (cold) were used in this study. The two time courses interrogating photoperiod were conducted under short days (8 hrs light and 16 hrs dark) or long days (16 hrs light and 8 hrs dark) under constant temperature. In addition, the photoperiod time courses were in the Landsberg erecta (ler) accession, in contrast to the other time courses that are in the Columbia (col) background. The final time course interrogated circadian rhythmicity in seedlings grown completely in the dark (etiolated). Dark grown seedlings were synchronized with thermocycles, and plants were sampled under the circadian conditions of continuous dark and temperature.

Publication Title

Network discovery pipeline elucidates conserved time-of-day-specific cis-regulatory modules.

Sample Metadata Fields

Age, Time

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accession-icon GSE140945
Mouse transcriptome reveals signatures of protection and pathogenesis in human tuberculosis
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE144708
Distinct signature, origin and dynamics of macrophages in the peripheral and central nervous system
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Profiling peripheral nerve macrophages reveals two macrophage subsets with distinct localization, transcriptome and response to injury.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE140943
Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [blood array]
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

Publication Title

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE144702
Distinct signature, origin and dynamics of macrophages in the peripheral and central nervous system (microarray)
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We performed ontogenic, transcriptomic and spatial characterization of sciatic nerve Macs (snMacs). Using multiple fate-mapping systems, we show that snMacs do not derive from the early embryonic precursors colonizing the CNS, but originate primarily from late embryonic precursors and get replaced by bone marrow-derived Macs over time. Using single-cell profiling, we identified a tissue-specific core signature of snMacs and found two spatially-separated snMacs: Relmα + Mgl1 + snMacs in the epineurium and Relmα Mgl1 snMacs in the endoneurium. Globally, snMacs lack most core signature genes of microglia, with only the endoneurial subset expressing a restricted number of these genes. Single-cell transcriptomics revealed that in response to injury both snMacs respond differently and that the PNS, in contrast to the CNS, is permissive to prolonged engraftment of monocyte-derived Macs recruited upon injury.

Publication Title

Profiling peripheral nerve macrophages reveals two macrophage subsets with distinct localization, transcriptome and response to injury.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE140944
Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis [lung array]
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Characterisation of blood and lung global transcriptional responses to Mycobacterium tuberculosis infection in distinct mouse models of Tuberculosis

Publication Title

Mouse transcriptome reveals potential signatures of protection and pathogenesis in human tuberculosis.

Sample Metadata Fields

No sample metadata fields

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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