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accession-icon GSE23740
Effect of probiotic Lactobacillus casei Zhang on liver gene expression of hypercholesterolemic rats
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The hypocholesterolemic effect of probiotics has been observed, but the molecular mechanism of probiotic-host interaction is still obscure. In this study, DNA microarray technology was used to explore the gene expression profile of liver of hypercholesterolemic rats caused by administration of probiotic Lactobacillus casei Zhang, which can decrease the serum triglyceride, low-density lipoprotein cholesterol, hepatic cholesterol and triglyceride of hypercholesterolemic rats.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE89279
Expression data from somatic cell nuclear transfer bovine embryo
  • organism-icon Pantholops hodgsonii, Bos taurus, Procapra przewalskii
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Since the first cloned animal Dolly Sheep was successfully created by using somatic cell nuclear transfer(SCNT) technique. It has become an irreplaceable tool to understand nuclear reprogramming and totipotency and holds huge potentials for regenerative medicine. However, extremely poor development rate of SCNT embryos indicates it is still questionable. The nature of reprogramming oocyte factors and their mechanism of action remain largely unknown.It is evident that the major barrier that hinders the developing iSCNT embryo mainly appears at the time of embryonic genome activation (EGA), which primarily occurs at the eight-cell stage in mammalian. The interspecies somatic cell nuclear transfer (iSCNT) is desired model for nuclear reprogramming research and a powerful tool for discovering the master genome activation genes. In this study, a valuable transcriptome recourse of iSCNT embryos was established, which derived from more than 2000 clone embryos of four different inter-family donor cells. Based on weighted gene co-expression network (WGCNA) approach, we provide an extensive transcriptome analysis of differentially expressed genes(DEG) for iSCNT embryos. The total gene expression patterns of different iSCNT embryos were discussed. 26 cell-specific modules with were identified, and those module significance and GO enriched categories were analyzed. The regulatory pathways of reprogramming barriers were further enriched. As master genome trigger genes, the transcripts related to TFIID subunit, RNA polymerase and Mediator were incomplete activated in iSCNT embryos. This indicated that pioneer factors, present in the cytoplasm of the oocyte, were failed to bind the sequence target on the heterology nuclear genome. This genomic incompatibility between the nuclear donor cell and the cytoplast may be as a major contributing factor causes the developmental failure of iSCNT cloned embryos.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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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.

Sample Metadata Fields

No sample metadata fields

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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.

Sample Metadata Fields

Specimen part, Time

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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

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

Sample Metadata Fields

Specimen part, Treatment

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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.

Sample Metadata Fields

Specimen part, Treatment

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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.

Sample Metadata Fields

Specimen part, Treatment

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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.

Sample Metadata Fields

Specimen part

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accession-icon GSE40052
Expression data from Maize leaves post inoculation of Sporisorium reilianum.
  • organism-icon Zea mays
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Head smut of maize, which is caused by the Sporisorium reilianum f. sp. Zeae (Khn), has been a serious disease in maize. In order to find head smut resistant candidate genes, microarrays were used to monitor the gene expression profiles between disease resistant near isogenic lines (NIL) L282 and L43, highly resistant inbred line Q319 and highly susceptible inbred line Huangzao4 after 0 to7 days post inoculation of S.reiliana by artificial inoculation method.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Time

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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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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