refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 9768 results
Sort by

Filters

Organism

Technology

Platform

accession-icon SRP178047
Drosophila melanogaster Genome sequencing
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In order to find out the Pc target genes responsible for sleep in stx mutant, we performed RNA seq analysis in adult fly head tissues of yw control vs. stxd77 flies

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP063667
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII, IlluminaGenomeAnalyzer

Description

we treated Homo sapiens UMUC-3 cells with 5-AZA-CdR for 5, 9, 13 and 17 days and employed deep sequencing method to analyze alterations in gene expressions and alternative splicing

Publication Title

Isoform switching and exon skipping induced by the DNA methylation inhibitor 5-Aza-2'-deoxycytidine.

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33204
DNA microarray data from transgenic rice Huahui 1 (HH1) and its parent Minghui 63 (MH63)
  • organism-icon Oryza sativa
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. But the distribution of differentially expressed genes in GM crops remains unclear. So the results of microarray analysis might be invalid for assessment of unintended effects if differentially expressed genes are extremely distributed. We used microarrays to study the distribution pattern of differentially expressed genes in HH1 at different developmental stages and environmental conditions.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-33204

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE74412
Expression data from the process of chilling stress causing Alternaria alternata infection and leading to cotton leaf senescence
  • organism-icon Gossypium hirsutum
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Cotton Genome Array (cotton)

Description

Cotton premature leaf senescence often occurred with an increasing frequency in many cotton growing areas and caused serious reduction in yield and quality of cotton has been one of the impontant factors that restrict severely the production of cotton.Our laboratory studies showed chilling stress is the key factor that induced A. alternatia infection, caused Alternaria disease and then lead to cotton leaf senescence, but the molecular mechanism of cotton premature leaf senscence is still unclear.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-74412

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE62158
Dynamic transcriptome analysis and volatile profiling of Gossypium hirsutum in response to the cotton bollworm Helicoverpa armigera
  • organism-icon Gossypium hirsutum
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Cotton Genome Array (cotton)

Description

Cotton seeds (Gossypium hirsutum cv. CCRI12) were grown in a growth chamber under 29/25C temperature and a 16:8 h light:dark cycle, and water was added every two days. All plants were used in experiments at the 6-7 fully expanded true leaf stage, which occurred 5-6 weeks after sowing. Cotton bollworm (CBW; Helicoverpa armigera) larvae were reared on an artificial diet and maintained at 27 2C, 75 10% relative humidity, and 14:10 h light:dark in the laboratory. For insect treatment, seven H. armigera larvae (third instars) were placed on a group of three plants, which were kept within plastic bags (30 40 cm), until time of harvest, with samples for each time point maintained separately. Undamaged plants maintained under the same conditions were used as controls. Cotton leaves from control plants and plants exposed to H. armigera were harvested at 6 h, 12 h, 24 h, and 48 h after onset of herbivory. For each treatment group and time point, cotton leaves were harvested from the three plants per treatment group and flash frozen in liquid nitrogen. For each time point, three replicate treatments and controls were performed.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-62158

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE33203
DNA microarray data from transgenic rice KMD and its parent XS11
  • organism-icon Oryza sativa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

KMD is genetically engenered to be highly resistant to lepidopteran pests through expressing a synthetic cry1Ab gene and its parent non-transgenic rice is Xiushui 11 (XS11). Many unintended effects have been discovered in KMD. We used microarrays to study the molecular basis for unintended effects of KMD rice.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-33203

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE46086
DNA microarray data from root of transgenic rice Huahui 1 (HH1) and its parent Minghui 63 (MH63)
  • organism-icon Oryza sativa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. However, unintended effects of GM plants in leaves through DNA microarray analysis has many researches, but research of unintended effects of GM plants of the underground portion has few. In this study, DNA microarray analysis was used to detect DEG in underground portions between transgenic rice HH1 and its non-transgenic control MH63.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-46086

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE36013
Gene-level expression data from Oryza sativa.indica (mock-treated or blast pathogen treated resistant rice line and susceptible rice line )
  • organism-icon Oryza sativa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

In this dataset, we include the expression data obtained from untreated and blast pathogen treated rice seedlings using a variety of blast resistant rice line H4, as well as the susceptible rice line Zhonger-Ruanzhan. These data are used to obtain 4087 genes that are differentially expressed in response to blast pathogen in both of rice lines,as well as 717 genes that are differentially expressed between different lines both in the moch-treated and the blast treated.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-36013

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE14712
Xenobiotic-responsive Nuclear Receptors in Transcriptional Effects Upon Perfluoroalkyl Acid Exposure in Diverse Species
  • organism-icon Rattus norvegicus
  • sample-icon 129 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Humans and ecological species have been found to have detectable body burdens of a number of perfluorinated alkyl acids (PFAA) including perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS). In mouse and rat liver these compounds elicit transcriptional and phenotypic effects similar to peroxisome proliferator chemicals (PPC) that work through the nuclear receptor peroxisome proliferator activated receptor alpha (PPARalpha). Recent studies indicate that along with PPARalpha other nuclear receptors are required for transcriptional changes in the mouse liver after PFOA exposure including the constitutive activated receptor (CAR) and pregnane X receptor (PXR) that regulate xenobiotic metabolizing enzymes (XME). To determine the potential role of CAR/PXR in mediating effects of PFAAs in rat liver, we performed a meta-analysis of transcript profiles from published studies in which rats were exposed to PFOA or PFOS. We compared the profiles to those produced by exposure to prototypical activators of CAR (Phenobarbital (PB)), PXR (pregnenolone 16 alpha-carbonitrile (PCN)), or PPARalpha (WY-14,643 (WY)). As expected, PFOA and PFOS elicited transcript profile signatures that included many known PPARalpha target genes. Numerous XME genes were also altered by PFOA and PFOS but not WY. These genes exhibited expression changes shared with PB or PCN. Reexamination of the transcript profiles from the livers of chicken or fish exposed to PFAAs indicated that PPARalpha, CAR, and PXR orthologs were not activated. Our results indicate that PFAAs under these experimental conditions activate PPARalpha, CAR, and PXR in rats but not chicken and fish. Lastly, we discuss evidence that human populations with greater CAR expression have lower body burdens of PFAAs.

Publication Title

Evidence for the involvement of xenobiotic-responsive nuclear receptors in transcriptional effects upon perfluoroalkyl acid exposure in diverse species.

Alternate Accession IDs

E-GEOD-14712

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE117056
Differential Genomic Effects of Six Different Nanomaterials on Human Liver HepG2 Cells
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Human Hepatocellular Carcinoma cells (HepG2) were exposed to six nanomaterials containing either Cerium oxide (CeO2) or Titanium oxide (TiO2) nanoparticles. Three different concentrations were tested: 0.3, 3, or 30 g/mL) for 3 days. Microarray analysis was performed to identify genes differentially expressed following exposure to these chemicals.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-117056

Sample Metadata Fields

Specimen part, Cell line

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact
Version 1.42.67-hotfix - .0.0