Our ‘Dataset of the Week’ series features publicly available omics datasets of scientific value, intending to promote data sharing and reuse.
This week, we feature a microarray dataset generated on an Affymetrix whole transcript array from the publication titled ‘NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis’1.
Primary cancer of the liver or hepatocellular carcinoma (HCC) is the world’s second leading cause of cancer-related deaths in humans2. HCC is commonly considered an inflammation-related cancer but recent epidemiological studies have indicated that obesity-related nonalcoholic fatty liver disease (NAFLD) has a significant impact on the promotion and risk factors of HCC3,4. The mechanism of NAFLD’s contribution in the formation of carcinogenic hepatocytes was explored in this publication. Researchers used a microarray-based approach to examine the effects of excess production of intrahepatic lipids and the resulting immune responses in the microenvironment of hepatocytes.
This dataset contains microarray data from murine liver tissues exposed to intrahepatic lipids, replicating liver conditions of nonalcoholic fatty liver disease (NAFLD). Exploring this transcriptome could shed more light on novel metabolic factors affecting tissue health in liver cells.
Splenocytes were isolated from transgenic mice that were fed either normal chow or a fatty acid-rich diet (n=5 control, n=6 experimental group). CD4+ and CD8+ T lymphocytes were sorted from these splenocytes. Total RNA was extracted from these samples and microarray analysis was carried out using the Affymetrix platform.
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