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accession-icon GSE24041
Site-specific heterogeneity of melanocytes in human skin
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Little is known about the mechanisms underlying the localization of human melanocytes during embryogenesis, and how the characteristics of melanocytes differ in various body sites. Immunohistochemical studies of biopsy tissue obtained from four different anatomic sites (scalp, back, abdomen, and sole) of 31 aborted fetuses following the approval of the ethics committee for the study of human gene analysis revealed that the melanocyte-associated marker gp100 was expressed earlier in embryogenesis than other melanocyte markers. Human fetal melanocytes are initially localized in the epidermis, and then migrate to the hair buds from the epidermis but not the dermis. In the sole, melanocytes localize in eccrine sweat gland ducts. Cultured fetal melanocytes did not stain positively for any melanocyte markers other than MITF and nestin. When co-cultured with normal human keratinocytes and fibroblasts, fetal melanocytes stained positively for gp100. Gene expression studies indicated that fetal melanocytes were topographically diverse, especially sole-derived melanocytes compared with other melanocytes. Expression of several genes, including CHI3L1 and FGF7, was higher in sole-derived melanocytes. These findings suggest that human fetal melanocytes derived from the sole have different profiles both in vivo and in vitro compared with melanocytes from other sites.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-24041

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP173985
Arabidopsis thaliana seedling transcriptome
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-Seq data for identifying genes regulated by BBX30 and BBX31

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part

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accession-icon SRP148483
Transcriptome data of flower bud distortion in witches' broom disease of soybean (Glycine max) variety JS-335 (R5 stage)
  • organism-icon Glycine max
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

No description.

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 SRP133806
Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
  • organism-icon Glycine max
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

the leaves of the downy mildew pre-inoculation and after 72 h of inoculation were sequenced for the high resistance varieties of soybean downy mildew - Jilin Xiaoji 1 and the high susceptible cultivar - Kefeng 1.The following results were obtained by transcriptome data analysis

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Specimen part

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accession-icon SRP150704
RNA sequencing of primary neurons treated with L-lactate
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The study aimed to investigate genome-wide transcriptome changes in response to L-lactate in primary neuron cultures.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon E-MTAB-2147
Transcription profiling by array of wild type, gis1 knockout, rph1 knockout, gis1rph1 double knockout, rph1-H235A mutant and gis1 knockout/rph1-H235A mutant yeast at different growth phases
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Gene regulatory significance of the JmjC domain H235A point mutation in the yeast transcription factor Rph1, in log and post-diauxic shift (pds) phase

Publication Title

The histone demethylase activity of Rph1 affects telomeric silencing but is not required for nutrient signaling

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

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accession-icon DRP004231
Identification of adverse outcome pathways in 4-OH-CB107 treated Wister rat by transcriptome analysis
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We investigated hepatic mRNA expression profile of adult male Wistar rats treated with 4-hydroxy-2,3,3'',4'',5-pentachlorobiphenyl (4-OH-CB107) to explore the genes responsive to the OH-PCB.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon E-TOXM-39
Transcription profiling of rat liver and kidney samples performed in 16 different institutions to determine study factors which are key sources of variability. Raw files available as additional archives
  • organism-icon Rattus norvegicus
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconUNKNOWN

Description

BACKGROUND: The use of gene expression profiling in both clinical and laboratory settings would be enhanced by better characterization of variance due to individual, environmental, and technical factors. Meta-analysis of microarray data from untreated or vehicle-treated animals within the control arm of toxicogenomics studies could yield useful information on baseline fluctuations in gene expression, although control animal data has not been available on a scale and in a form best served for data-mining. RESULTS: A dataset of control animal microarray expression data was assembled by a working group of the Health and Environmental Sciences Institute's Technical Committee on the Application of Genomics in Mechanism Based Risk Assessment in order to provide a public resource for assessments of variability in baseline gene expression. Data from over 500 Affymetrix microarrays from control rat liver and kidney were collected from 16 different institutions. Thirty-five biological and technical factors were obtained for each animal, describing a wide range of study characteristics, and a subset were evaluated in detail for their contribution to total variability using multivariate statistical and graphical techniques. CONCLUSIONS: The study factors that emerged as key sources of variability included gender, organ section, strain, and fasting state. These and other study factors were identified as key descriptors that should be included in the minimal information about a toxicogenomics study needed for interpretation of results by an independent source. Genes that are the most and least variable, gender-selective, or altered by fasting were also identified and functionally categorized. Better characterization of gene expression variability in control animals will aid in the design of toxicogenomics studies and in the interpretation of their results. [based on information contained in Final_HESI_Decoder_483_05_015_07.txt provided by CEBS database]

Publication Title

Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP107901
Identification of reference genes for normalizing the levels of circulating RNA transcripts in pregnant women based on whole-transcriptome data
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

For quantification of RNA transcript using RT-qPCR data, normalization of the data by the internal control reference genes is often required. However, it has been demonstrated that a proper choice of reference genes is highly dependent on the tissues or cells being investigated. It has also been known that reference genes are highly specific for a particular experimental model, and validation for each situation, on an individual basis, is essential. Currently, there is a lack of data on reference genes that are suitable for normalization of RT-qPCR data in the blood circulation of pregnant women. The objective of this study is to identify reference genes in maternal blood based on the whole-transcriptome data of 19 maternal whole blood samples, sequenced on the HiSeq-4000 platform in two libraries (technical replicates) per sample.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line

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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