Project description:Microarray analysis of WT (Pten2fl/fl:Shp2fl/fl:Alb-Cre-), SKO (Shp2hep-/-, or Shp2fl/fl:Alb-Cre+), PKO (Ptenhep-/-, or Pten2fl/fl:Alb-Cre+) and DKO (Ptenfl/fl:Shp2fl/fl:Alb-Cre+) liver samples to gain global molecular insights how shp2 and pten is involved in liver tumorigenesis.
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to reveal dynamics of liver tumourigenesis in different mouse model and identify some key regulators that control HCC initiation or progression. We also try to define a index based on transcriptome of samples to quantify tumor development stage. Methods: mRNA profiles of wild-type (WT), hepatocyte-specific shp2 deletion (Shp2−/−) mice (SKO), hepatocyte-specific pten deletion (Pten−/−) mice (PKO), and hepatocyte-specific shp2 and pten deletion mice (DKO) were generated by deep sequencing. The sequence reads that passed quality filters were mapped to Mouse genome using STAR, and mRNA profiles were obtained using cuffdiff. Results: quanlity control of mRNA profiles showed that the data captured key features of phenotypes. Significantly changed genes, pathways, biolgocial processes, ligand and receptor, epigenetic regulators et al of SKO, PKO, DKO mice at differnet age were obtaiend. Temporal gene expression patterns during liver tumorigenesis in SKO, PKO and DKO mice were obtained. Conclusions: Our study represents the first detailed analysis of temporal transcriptomes during liver tumourigenesis, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comprehensive investigations of expression profiles.
Project description:The ketogenic diet has been successful in promoting weight loss among patients that have struggled with weight gain. This is due to the cellular switch in metabolism that utilizes liver-derived ketone bodies for the primary energy source rather than glucose. Fatty acid transport protein 2 (FATP2) is highly expressed in liver, small intestine, and kidney where it functions in both the transport of exogenous long chain fatty acids (LCFA) and in the activation to CoA thioesters of very long chain fatty acids (VLCFA). We have completed a multi-omic study of FATP2-null (Fatp2-/-) mice maintained on a ketogenic diet (KD) or paired control diet (CD), with and without a 24-hour fast (KD-fasted and CD-fasted) to address the impact of deleting FATP2 under high-stress conditions. Control (wt/wt) and Fatp2-/- mice were maintained on their respective diets for 4-weeks. Afterwards, half the population was sacrificed while the remaining were fasted for 24-hours prior to sacrifice. We then performed paired-end RNA-sequencing on the whole liver tissue to investigate differential gene expression. The differentially expressed genes mapped to ontologies such as the metabolism of amino acids and derivatives, fatty acid metabolism, protein localization, and components of the immune system’s complement cascade, and were supported by the proteome and histological staining.
Project description:SILAC based protein correlation profiling using size exclusion of protein complexes derived from Mus musculus tissues (Heart, Liver, Lung, Kidney, Skeletal Muscle, Thymus)
Project description:SILAC based protein correlation profiling using size exclusion of protein complexes derived from seven Mus musculus tissues (Heart, Brain, Liver, Lung, Kidney, Skeletal Muscle, Thymus)
Project description:The goal of this study was to perform transcriptomics on wildtype, PTEN single knockout (SKO) and PTEN;Rb1 double knockout (DKO) mouse prostate organoids. We isolated basal cells from PTEN floxed and PTEN;Rb1 floxed mouse prostates and infected with either RFP control or Cre recombinase to establish wildtype, SKO, and DKO mouse prostate organoids.
Project description:To understand the mechanisms through which JunB regulates Tregs-mediated immune regulation, we examined the global gene expression profiles in the JunB WT and KO Tregs by performing RNA sequencing (RNA-seq) analysis.
