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accession-icon GSE81134
Expression data from 10 DPA fibers
  • organism-icon Gossypium barbadense, Gossypium hirsutum
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Cotton Genome Array (cotton)

Description

Upland cotton (Gossypium hirsutum L.) is the most important fiber crop, and its lint yield improvement is impeded due to its narrow genetic base and the lack of understanding of the genetic basis of yield. Backcross inbred lines (BILs) or near-isogenic lines (NILs) in the same genetic background differing in lint yield, developed through advanced backcrossing, provide an important genomic resource to study the molecular genetic basis of lint yield.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE39602
Comparative analysis of Gallus gallus cecal epithelia following Eimeria tenella infection
  • organism-icon Gallus gallus, Eimeria tenella
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

Relative expression levels of mRNAs in chicken cecal epithelia experimentally infected with Eimeria tenella were measured at 4.5 days post-infection. Two weeks old chickens were uninfected (negative control) or were orally inoculated with sporulated oocysts of Eimeria tenella. Cecal epithelia samples were collected from >12 birds in infected or uninfected group at 4.5 d following infections, in which samples from 4 birds were pooled together to form a total 3 biological replicates in each group. Parasite merozoites were also collected from four infected chickens at 5 d after infections. Uninfected control samples, merozoites and infection group samples were selected for RNA extraction and hybridization on Affymetrix microarrays.

Publication Title

Transcriptome analysis in chicken cecal epithelia upon infection by Eimeria tenella in vivo.

Sample Metadata Fields

No sample metadata fields

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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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