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accession-icon SRP149609
High amylose maize HS68
  • organism-icon Zea mays
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq data of maize HS68 come from 5, 10, 15 and 20 days after pollination, respectively.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP161537
RNA-seq of white maize kernel
  • organism-icon Zea mays
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 4000

Description

we find a white maize kernel mutation in a EMS induced mutation liibrary, and our goal is to find the cause gene using RNA-seq.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part

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accession-icon GSE93771
Comparative transcriptomic analysis of the roots of intercropped maize by microarray
  • organism-icon Zea mays
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Intercropping is a vital technology in resource-limited agricultural systems with low inputs. Peanut/maize intercropping enhances iron (Fe) nutrition in calcareous soil. Proteomic studies of the differences in peanut leaves, maize leaves and maize roots between intercropping and monocropping systems indicated that peanut/maize intercropping not only improves Fe availability in the rhizosphere but also influences the levels of proteins related to carbon and nitrogen metabolism. Moreover, intercropping may enhance stress resistance in the peanut plant (Xiong et al. 2013b). Although the mechanism and molecular ecological significance of peanut/maize intercropping have been investigated, little is known about the genes and/or gene products in peanut and maize roots that mediate the benefits of intercropping. In the present study, we investigated the transcriptomes of maize roots grown in intercropping and monocropping systems by microarray analysis. The results enabled exploration differentially expressed genes in intercropped maize.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-93771

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE19024
Dissecting the developmental transcriptomes of rice
  • organism-icon Oryza sativa indica group
  • sample-icon 189 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Transcriptional programs are important for the development of complex eukaryotic organisms. Suites of genes expressed with temporal and spatial controls by regulatory networks in response to environmental cues are the cornerstone for achieving the specification of morphology and physiology of the tissue or organ systems. Thus, an important issue of developmental biology is to define the subsets of expressed genes and their expression patterns that are related to the organ or tissue system. Rice is a model plant for cereal genome research. Although large amounts of data of whole genome expression have been generated in recent years in rice, the majority of the studies were designed to identify differentially expressed genes between controls and treatments with certain experimental conditions such as biotic, abiotic or light, or to investigate the comparative expression patterns between wild type and mutants of certain genes. Only in a few cases were the datasets designed for studying the transcriptomes of a limited number of organs and cell types. Thus, there is still insufficiency in the available datasets that would allow for the establishment of expression patterns for suits of genes during the developmental processes of rice.

Publication Title

A dynamic gene expression atlas covering the entire life cycle of rice.

Alternate Accession IDs

E-GEOD-19024

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE63706
Expression data from Senescence Process of citrus
  • organism-icon Citrus unshiu, Citrus maxima, Citrus reticulata, Citrus sinensis
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Citrus Genome Array (citrus)

Description

The postharvest senescence processes of citrus fruits were analyzed transcriptomic. The present study was aimed to: further uncover the rind-flesh communication of hesperidium; characterize the differential storage behaviors of different citrus varieties; reveal the important changes during storing process; and demonstrate the specific non-climacteric characteristics of citrus fruits.

Publication Title

Network analysis of postharvest senescence process in citrus fruits revealed by transcriptomic and metabolomic profiling.

Alternate Accession IDs

E-GEOD-63706

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE51330
Expression data from chicken preadipocytes
  • organism-icon Gallus gallus
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

Gene expression profiles of chicken preadipocytes were constructed using Chicken Genome Arrays to determine the gene expression patterns of preadipocytes derived from two chicken lines divergently selected for abdominal fat content.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-51330

Sample Metadata Fields

Specimen part

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accession-icon GSE74106
Microarray analysis reveals the molecular foundation of the brown planthopper(BPH) resistance of rice variety Rathu Heenati
  • organism-icon Oryza sativa
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

In order to reveal the molecular foundation of BPH resistance of RH, the whole genome expressional profiles of RH together with the control TN1 under BPH infestation were determined using cDNA microarray analysis.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-74106

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE85765
Dissimilar manifestation of heterosis in super hybrid rice at early-tillering stage under nutrient-deficient and nutrient-sufficient condition
  • organism-icon Oryza sativa
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Heterosis has long been exploited for crop breeding; however, the genetic mechanisms, particularly the initial establishment of heterosis during the early vegetative growth phase, remain elusive. The biggest challenge for that is to exclude noise genes from the identified heterosis-related candidates. Herein, we use nutrient-deficient hybrid with no measurable growth heterosis as control to filter potential background noise differentially expressed genes

Publication Title

Dissimilar Manifestation of Heterosis in Superhybrid Rice at Early-Tillering Stage under Nutrient-Deficient and Nutrient-Sufficient Condition.

Alternate Accession IDs

E-GEOD-85765

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE71680
Expression data of 8 rice accessions under cold stress in seedling stage
  • organism-icon Oryza sativa
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Low temperature is one of the major abiotic stresses limiting rice growth and productivity, it is urgent to reveal the genetic and molecular mechanisms of plant responses to low temperature stress and to search for useful genetic resources for improving low-temperature tolerance. the 8 accessions from China Core Collection include 4 cold tolerance accessions, 3 sensitivity accessions and 1 intermediate type accession.

Publication Title

New insights into the genetic basis of natural chilling and cold shock tolerance in rice by genome-wide association analysis.

Alternate Accession IDs

E-GEOD-71680

Sample Metadata Fields

Specimen part, Treatment

View Samples
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.

Alternate Accession IDs

E-GEOD-78242

Sample Metadata Fields

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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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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