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accession-icon GSE27211
Gene expression changes in HK-2 cells following exposure to nephrotoxic compounds
  • organism-icon Homo sapiens
  • sample-icon 420 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE27210
Expression data in HK-2 cells following exposure to all conditions
  • organism-icon Homo sapiens
  • sample-icon 114 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormous, leading to wasted resources that could have been better employed on alternative candidates. The requirement for early stage prediction of toxicity is, then, of paramount importance to expedite the introduction of new therapies to clinical practice. To date, most transcriptomics efforts to solve this problem have applied Support Vector Machine techniques to data derived from in vivo studies in rats.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE70362
Gene Expression Profiling Identifies Interferon Signalling Molecules and IGFBP3 in Human Degenerative Annulus Fibrosus
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Low back pain is a major cause of disability especially for people between 20 and 50 years of age. As a costly healthcare problem, it imposes a serious socio-economic burden. Current surgical therapies have considerable drawbacks and fail to replace the normal disc in facilitating spinal movements and absorbing load. Therefore, the focus of regenerative medicine is on identifying biomarkers and signalling pathways to improve our understanding about the cascades of disc degeneration and allow for the design of specific therapies. We hypothesized that comparing microarray profiles from degenerative and non-degenerative discs will lead to the identification of dysregulated signalling and pathophysiological targets. Microarray data sets were generated from human annulus fibrosus cells and analysed using IPA ingenuity pathway analysis system. Gene expression values were validated by qRT-PCR, and respective proteins were identified by immunohistochemistry. Microarray analysis revealed 17 dysregulated molecular markers and various dysregulated cellular functions, including cell proliferation and inflammatory response, in the human degenerative annulus fibrosus. The most significant canonical pathway induced in degenerative annulus fibrosus was found to be the interferon signalling pathway. In conclusion, this study indicates interferon-alpha signalling pathway activation with IFIT3 and IGFBP3 up-regulation which may affect cellular function in human degenerative disc.

Publication Title

Gene Expression Profiling Identifies Interferon Signalling Molecules and IGFBP3 in Human Degenerative Annulus Fibrosus.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE27202
Expression data in HK-2 cells following exposure to Tox 1 compounds: CsA, Fk, Nnm and Ra
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormous, leading to wasted resources that could have been better employed on alternative candidates. The requirement for early stage prediction of toxicity is, then, of paramount importance to expedite the introduction of new therapies to clinical practice. To date, most transcriptomics efforts to solve this problem have applied Support Vector Machine techniques to data derived from in vivo studies in rats.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE27208
Expression data in HK-2 cells following exposure to Tox 3 compounds: Ota and Aa
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormous, leading to wasted resources that could have been better employed on alternative candidates. The requirement for early stage prediction of toxicity is, then, of paramount importance to expedite the introduction of new therapies to clinical practice. To date, most transcriptomics efforts to solve this problem have applied Support Vector Machine techniques to data derived from in vivo studies in rats.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE27204
Expression data in HK-2 cells following exposure to Tox 2 compounds: CdCl, Di, and Kbr
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormous, leading to wasted resources that could have been better employed on alternative candidates. The requirement for early stage prediction of toxicity is, then, of paramount importance to expedite the introduction of new therapies to clinical practice. To date, most transcriptomics efforts to solve this problem have applied Support Vector Machine techniques to data derived from in vivo studies in rats.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE74613
Oviduct-Embryo Interactions in Cattle: Two-Way Traffic or a One-Way Street?
  • organism-icon Bos taurus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Oviduct-Embryo Interactions in Cattle: Two-Way Traffic or a One-Way Street?

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE27095
Expression data in HK-2 cells following exposure to CsA
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormous, leading to wasted resources that could have been better employed on alternative candidates. The requirement for early stage prediction of toxicity is, then, of paramount importance to expedite the introduction of new therapies to clinical practice. To date, most transcriptomics efforts to solve this problem have applied Support Vector Machine techniques to data derived from in vivo studies in rats.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE27209
Expression data in HK-2 cells following exposure to non_tox representatives
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormous, leading to wasted resources that could have been better employed on alternative candidates. The requirement for early stage prediction of toxicity is, then, of paramount importance to expedite the introduction of new therapies to clinical practice. To date, most transcriptomics efforts to solve this problem have applied Support Vector Machine techniques to data derived from in vivo studies in rats.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE75754
Sexually dimorphic gene expression in bovine conceptuses at the initiation of implantation is not reflected in the changes in the endometrial transcriptome.
  • organism-icon Bos taurus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.0 ST Array (bovgene10st)

Description

In cattle, maternal recognition of pregnancy occurs on Day 16 via secretion of interferon tau (IFNT) by the conceptus. The endometrium can distinguish between embryos with different developmental competencies. In eutherian mammals, X-chromosome inactivation (XCI) is required to ensure an equal transcriptional level of most X-linked genes for both male and female embryos in adult tissues, but this process is markedly different in cattle than mice. We examined how sexual dimorphism affected conceptus gene expression and amino acid composition as well as the endometrial transcriptome during the peri-implantation period of pregnancy. Of the 5132 genes were differently expressed on Day 19 in male compared to female conceptuses, 2.7% were located on the X-chromosome. Concentrations of specific amino acids were higher in the uterine luminal fluid with male compared to female conceptuses, while female conceptuses had higher expression of specific amino acid transporters (SLC6A19 and SLC1A35). Of note, the endometrial transcriptome was not different in cattle gestating a male or a female conceptus. These data support the hypothesis that, far from being a blastocyst specific phenomenon, XCI is incomplete before and during implantation in cattle. Despite differences in gene expression and amino acid utilization in male versus female conceptuses, the sex of the conceptus itself does not elicit a different response in the endometrium.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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)

fund-icon Fund the CCDL

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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