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accession-icon GSE33400
Mapping barley genes to chromosome arms by transcript profiling of wheat-barley ditelosomic chromosome addition lines
  • organism-icon Hordeum vulgare, Triticum aestivum
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

We utilized the Barley1 Affymetrix GeneChip for comparative transcript analysis of Betzes barley, Chinese Spring wheat, and Chinese SpringBetzes ditelosomic chromosome addition lines to physically map barley genes to their respective chromosome arm locations. We mapped barley genes to chromosome arms (1HS, 2HS, 2HL, 3HS, 3HL, 4HS, 4HL, 5HS, 5HL, 7HS, and 7HL) based on their transcript levels in the ditelosomic addition lines. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Hatice Bilgic. The equivalent experiment is BB55 at PLEXdb.]

Publication Title

Mapping barley genes to chromosome arms by transcript profiling of wheat-barley ditelosomic chromosome addition lines.

Sample Metadata Fields

Specimen part

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accession-icon GSE24145
Soybean root hair cell response to Bradyrhizobium japonicum inoculation
  • organism-icon Glycine max
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Soybean root hair transcriptional response to their inoculation by the symbiotic bacteria B. japonicum involved in soybean nodulation. We used the first generation of an Affymetrix microarray to quantify the abundance of the transcripts from soybean root hair cells inoculated and mock-inoculated by B. japonicum. This experiment was performed on a time-course from 6 to 48 hours after inoculation.

Publication Title

Complete transcriptome of the soybean root hair cell, a single-cell model, and its alteration in response to Bradyrhizobium japonicum infection.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE24534
Transcriptome analysis of a breeding program pedigree
  • organism-icon Hordeum vulgare
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Transcriptome comparison of 15 lines representing the University of Minnesota six-rowed malting breeding program at two time points of the malting process: 'out of steep' and '3 days of germination'. Three replicates of each genotype and time point were accomplished. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Maria Muoz-Amatriain. The equivalent experiment is BB91 at PLEXdb.]

Publication Title

Transcriptome analysis of a barley breeding program examines gene expression diversity and reveals target genes for malting quality improvement.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE33842
Structural and functional characterization of a winter malting barley
  • organism-icon Hordeum vulgare
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Transcriptome comparison of the winter malting barley '88Ab536' with the spring malting variety 'Morex' at two time points of the malting process: 'out of steeping' and '3 days of germination'. Three replicates of each genotype and time point were accomplished. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Maria Munoz-Amatriain. The equivalent experiment is BB76 at PLEXdb.]

Publication Title

Structural and functional characterization of a winter malting barley.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE45924
Peripheral blood gene expression in human experiencing primary EBV infection
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanRef-8 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Primary EBV infection induces an expression profile distinct from other viruses but similar to hemophagocytic syndromes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE45918
Peripheral blood gene expression in human experiencing primary EBV infection (Ref8)
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Epstein Barr virus causes linfectious mononucleosis and establishes lifelong infection associated with cancer and autoimmune disease. To better understand immunity to EBV, we performed a prospective study of natural infection in healthy humans. These anlyses were undertaken in order to determine what gene expression changes occur as the result of primary Epstein Barr virus infection. Samples were taken both before and following acquisition of the virus for direct comparison of samples for single subjects. These data provide an important first description of the response to natural herepesvirus infection in humans.

Publication Title

Primary EBV infection induces an expression profile distinct from other viruses but similar to hemophagocytic syndromes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12337
Transcriptomic analysis of PPARalpha-dependent alterations during cardiac hypertrophy
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Findings suggest that PPARalpha plays a decisive role in the development of hypertrophy, affecting the functional outcome of the heart. Unfortunately, information on the nature of PPARalpha-dependent processes in cardiac hypertrophy is fragmentary and incomplete.

Publication Title

Transcriptomic analysis of PPARalpha-dependent alterations during cardiac hypertrophy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40311
A model system for assessing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.

Sample Metadata Fields

Cell line

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accession-icon SRP015013
A model system for assessing the ability of tag sequencing to detect genes specific for malignant B-cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

The purpose of this study was to develop a quantification method that can be used to assess the ability of tag-seq to detect malignant B-cell transcripts. The data support that tumour cell concentration is an important variable with fundamental impact on gene expression pattern. Overall design: We analysed eight serial dilutions of the malignant B-cell line, OCI-Ly8, into the embryonic kidney cell line, HEK293, by tag-sequencing. No technical replicates were performed.

Publication Title

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE40309
A model system for assessing the ability of exon microarray to detect genes specific for malignant B-cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

The purpose of this study was to develop a quantification method that can be used to assess the ability of exon microarray to detect malignant B-cell transcripts.

Publication Title

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells.

Sample Metadata Fields

Cell line

View Samples
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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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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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