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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 SRP073367
Sus scrofa Transcriptome or Gene expression
  • organism-icon Sus scrofa
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Comparison of transcriptome profiling of Tibetan and Yorkshire pigs by RNA-Seq

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP073069
Sus scrofa Transcriptome or Gene expression
  • organism-icon Sus scrofa
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Tibetan pig spleen transcriptome

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE33505
Expression data from volatile treated and insect damaged Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant volatiles can mediate plant-plant communication in the sense that plants attacked by herbivores can signal their unattacked neighbors of danger by emitting HIPVs. We call this the priming effect. Since the plant defense response is a systematic process involving numerous pathways and genes,to characterize the priming process, a time course study using a genome-wide microarray may provide more accurate information about the priming process. Furthermore, to what extent do the priming process and direct defense share similar gene expression profiles or pathways are also not clear.

Publication Title

Transcriptional analysis of Arabidopsis thaliana response to lima bean volatiles.

Alternate Accession IDs

E-GEOD-33505

Sample Metadata Fields

Specimen part

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accession-icon GSE38281
Expression data from leafminer-damaged Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plants have developed a complicated resistance system, and they exhibit various defense patterns in response to different attackers. However, the determine factors of plant defense patterns are still not clear. Here, we hypothesized that damage patterns of plant attackers play an important role in determining the plant defense patterns. To test this hypothesis, we selected leafminer, which has a special feeding pattern more similar to pathogen damage than chewing insects, as our model insect, and Arabidopsis thaliana as the response plants. The local and systemic responses of Arabidopsis thaliana to leafminer feeding were investigated using the Affymetrix ATH1 genome array.

Publication Title

Transcriptome response analysis of Arabidopsis thaliana to leafminer (Liriomyza huidobrensis).

Alternate Accession IDs

E-GEOD-38281

Sample Metadata Fields

Specimen part, Treatment

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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
...

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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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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