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GSE103546
Homo sapiens
3 Downloadable Samples
Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
The aim of this study was to compare the roles of the E6 proteins from HPV18 and HPV11, a high-risk and low-risk type, and to evaluate the effect of these two types of E6 proteins on gene expression
Publication Title
Delineation of the HPV11E6 and HPV18E6 Pathways in Initiating Cellular Transformation.
Sample Metadata Fields
Treatment
View Samples- Homo sapiens
- 43 Downloadable Samples
- 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- Homo sapiens
- 8 Downloadable Samples
Illumina HiSeq 2500
Description
Kaposi's sarcoma-associated herpesvirus (KSHV) is the etiologic agent of Kaposi's sarcoma (KS). In sub-Saharan Africa, the high prevalence of both HIV-1 and KSHV has made KS a leading cancer in the region, associated with poor prognosis and high mortality due to late medical presentation and advanced disease stages. A better understanding of the cellular and viral transcriptome profiles during neoplastic growth will aid in the definition of biomarkers and cellular functions associated with KS tumorigenesis and progression. Our approach is to examine the transcriptome profile in actual KS lesions versus non-cancer tissues from the same individual for a total of four male African epidemic KS patients. These patients have undetectable HIV-1 plasma viral load after successful anti-retroviral therapy. Our results capture the cellular complexity of in vivo lesion environment and provide a marked contrast to those derived from in vitro monoculture models. The findings demonstrate that latency and immune modulation related functions dominate the viral gene expression pattern. Moreover, KSHV significantly affected the cellular transcriptome profile with genes involved in lipid and glucose metabolism disorder pathways being the most substantially dysregulated. Despite the implied infiltration of immune cells into the lesions as predicted by CIBERSORT, KS tumor continued to progress, suggesting immunological dysfunction in these KS patients despite control of HIV-1 viremia. Lastly, there is limited overlap of our in vivo dataset with in vitro studies, suggesting a limitation of in vitro KS models. Overall design: RNA-seq of Kaposi's sarcoma lesions and control tissues
Publication Title
RNA-Seq of Kaposi's sarcoma reveals alterations in glucose and lipid metabolism.
Sample Metadata Fields
Specimen part, Subject
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