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accession-icon GSE49020
A global analysis of QTLs for expression variations in rice flag leaf at heading date
  • organism-icon Oryza sativa
  • sample-icon 216 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Analyses of QTLs for expression levels (eQTLs) of the genes reveal genetic relationship between expression variation and the regulator, thus unlocking the information for identifying the regulatory network. In this study, we used Affymetrix GeneChip Rice Genome Array to analyze eQTLs in rice flag leaf at heading date from 210 recombinant inbred lines (RILs) derived from a cross between Zhenshan 97 and Minghui 63. In the study, we attempted to construct the regulatory network by identifying putative regulators and the respective targets using an eQTL guided co-expression analysis with a recombinant inbred line population of rice.

Publication Title

An expression quantitative trait loci-guided co-expression analysis for constructing regulatory network using a rice recombinant inbred line population.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE89192
Expression data from gastrocnemius of wild type and transgenic mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

We want to find differential expressed genes of gastrocnemius from transgenic mice of knockout DGAT1 and WT mice.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE19975
Expression data from porcine red and white muscle
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

In meat animal production, favourable meat traits such as color and, in the pig in particular, tenderness have been found to closely associate with the greater abundance of red or highly oxidative fibres. Red muscles possess higher lipid concentration (intra- and inter-fibre fat) which is associated with more tender and juicy meat. In addition, individuals with muscles that are abundant in oxidative type I fibres are associated with favourable metabolic health, and are less likely to predispose to obesity and insulin resistance. Collectively, understanding the molecular processes that govern the expression of specific fiber types and the phenotypic characteristics of muscles is important in agricultural and medical fields.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE22564
A global analysis of QTLs for expression variations in rice shoot at early seedling stage
  • organism-icon Oryza sativa indica group
  • sample-icon 224 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Analyses of QTLs for expression levels (eQTLs) of the genes reveal genetic relationship between expression variation and the regulator, thus unlocking the information for identifying the regulatory network. Oligo-nucleotide expression microarrays hybridized with RNA can simultaneously provide data for molecular markers and transcript abundance. In this study, we used Affymetrix GeneChip Rice Genome Array to analyze eQTLs in rice shoots at 72 h after germination from 110 recombinant inbred lines (RILs) derived from a cross between Zhenshan 97 and Minghui 63.

Publication Title

A global analysis of QTLs for expression variations in rice shoots at the early seedling stage.

Sample Metadata Fields

Age, 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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