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accession-icon E-MEXP-26
Transcription profiling by array of yeast with deletions in the nonsense-mediated and 5' to 3' mRNA decay pathways
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Genome-wide analysis of mRNAs regulated by the nonsense-mediated and 5' to 3' mRNA Decay Pathways in Yeast

Publication Title

Genome-wide analysis of mRNAs regulated by the nonsense-mediated and 5' to 3' mRNA decay pathways in yeast.

Sample Metadata Fields

Sex

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accession-icon E-MEXP-27
Transcription profiling by array of yeast mutants
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

To determine the effects of inactivation of both the nosense-mediated mRNA decay pathway and the general 5' to 3' decay pathway on yeast mRNA decay, we compared the expression profiles of the wild-type, xrn1, xrn1 upf1, xrn1 nmd2, and xrn1 upf3 strains.

Publication Title

Genome-wide analysis of mRNAs regulated by the nonsense-mediated and 5' to 3' mRNA decay pathways in yeast.

Sample Metadata Fields

Sex

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accession-icon SRP075626
Mycobacterial infection of adult zebrafish
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA-seq-based profiling of Mycobacterium marinum granulomas from adult zebrafish and matched macrophage samples.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE78242
Expression data of soybean accessions under different phosphorus treatments
  • organism-icon Glycine max
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Gene 1.1 ST Array (soygene11st)

Description

Phosphorus is one of the most important macronutrients that is required for plant growth and development. However, stress under low-P conditions has become a limiting factor that affects crop yields and qualities. Plants have developed strategies to cope with this, while few genes associated with low-P tolerance have been identified in soybean.

Publication Title

A genome-wide expression profile analysis reveals active genes and pathways coping with phosphate starvation in soybean.

Sample Metadata Fields

Specimen part

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accession-icon GSE51823
Transcriptional response to cotton worm feeding in resistant and susceptible soybean lines
  • organism-icon Glycine max
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

The interaction between soybean and its destructive insect (cotton worm) is complicated. In this paper, the timecourse of induced responses to cotton worm were characterized in two soybean lines, suggesting complex results with different timepoints of peak induced resistance in resistant (WX) and susceptible (NN) soybean lines.

Publication Title

Transcriptome analysis of soybean lines reveals transcript diversity and genes involved in the response to common cutworm (Spodoptera litura Fabricius) feeding.

Sample Metadata Fields

Specimen part

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accession-icon GSE116796
Peroxidase plays important roles in soybean tolerance to Al toxicity
  • organism-icon Glycine max
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Gene 1.1 ST Array (soygene11st)

Description

Aluminum (Al) toxicity is an important restraint to soybean (Glycine max L. Merr.) production on acid soils. However, little is known about the genes underlying Al tolerance in soybean.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE41454
Enhanced immune response of BMDCs pulsed with H9N2 AIV and CpG
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Dendritic cells (DCs), professional antigen presenting cells, have demonstrated effective in controllingthe initial of innate immune, while CpG could improve the performance of immune system. To explorethe mechanism of CpG enhancing the immune response, we compared different stimulated mouse DCswith systemic approach microarrays. Analysis revealed 1840 differentially expressed genes in H9N2stimulated group, more than 1728 altered genes in inactive H9N2 group. Investigation also proved thatCpG/inactive H9N2 co-stimulation changed 2140 genes, more than that in H9N2 group, strongly demon-strated that CpG improved the performance of inactive H9N2 vaccination. Pathways analysis founded thatDCs response rapid to shift in their maturation state, which involved Toll-like receptor (TLR) pathwaysignificantly. Microarrays results were also verified by qRT-PCR with 14 elected representative genes. Fur-ther analysis proved that co-stimulatory molecules (CD40, CD80, CD86 and MHC-II), regulatory protein(IRF-7 and TRAF-6) and pro-inflammatory cytokines (IL-1, IL-6 and IL-12) were all changed and involvedin DCs maturation. At last we demonstrated TLR signalling pathway in chicken bone marrow-deriveddendritic cells (chBM-DCs) stimulated with CpG. The distinct transcriptional profiles of DCs pulsed withvarious stimuli expanded our understanding of how DCs respond and recognize influenza.

Publication Title

Enhanced immune response of BMDCs pulsed with H9N2 AIV and CpG.

Sample Metadata Fields

Specimen part

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accession-icon GSE36661
Transcriptome analysis of hrf1 transformed rice revealed crosstalk between disease resistance and drought tolerance mediated by Harpin
  • organism-icon Oryza sativa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Harpin proteins from Gram-negative plant pathogenic bacteria can activate distinct signaling pathways and cause multiple effects in plants. In this document, we observed the transcriptome profile in transgenic NJH12 and wide type R109 using a customized 57 k rice cDNA microarray and found 225 differentially expressed transcripts related to the responses to biotic and abiotic stresses, including programmed cell death (PCD), defense responses associated with the recognition of pathogen-derived elicitors secondary metabolite biosynthesis, and defense signalling pathways mediated by abscisic acid (ABA), reactive oxygen species (ROS), nitric oxide (NO), polyamines (PAs) and Ca2+, suggesting that the disease resistance and drought tolerance mediated by Harpin protein in hrf1-expressing NJH12 rice has a crosstalk through several signaling pathways.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18417
Arabidopsis transcriptome changes caused by ectopic production of a turtle riboflavin-binding protein
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Leaf contents of free riboflavin were modulated by ectopic expression of the turtle gene encoding riboflavin-binding protein (RfBP). Compared to Arabidopsis thaliana (L.) ecotype Col-0 (wild type), REAT (modified type) that constitutive express RfBP had 71%-77% less flavins of free form.

Publication Title

Expression of turtle riboflavin-binding protein represses mitochondrial electron transport gene expression and promotes flowering in Arabidopsis.

Sample Metadata Fields

Specimen part

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accession-icon GSE79273
Heat priming induces transgeneration thermo-tolerance
  • organism-icon Triticum aestivum
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

Effects of heat priming applied to the first generation on tolerance of the successive generation to post-anthesis high temperature stress were investigated.

Publication Title

No associated publication

Sample Metadata Fields

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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