Project description:Characterization of the heritability and genetic factors underlying the differential response to antiseizure drugs (ASDs) in a newly developed mouse model of ASD resistance.
Project description:Chymotrypsin-like elastase 1 (CELA1) is a serine protease that is neutralized by alpha-1 antitrypsin (AAT) and prevents emphysema in a murine antisense oligonucleotide model of AAT-deficient emphysema. We tested the role of CELA1 in emphysema development in this genetic model of AAT-deficiency following tracheal lipopolysaccharide (LPS), 10 months of cigarette smoke (CS) exposure, aging, and a low-dose tracheal porcine pancreatic elastase (LD-PPE) model we developed. In this last model, we performed proteomic analysis to understand differences in lung protein composition. We were unable to show that AAT-deficient mice developed more emphysema than wild type with escalating doses of LPS.
Project description:A mouse model for human small cell lung carcinoma (SCLC) has been developed based on evidence in human tumors that the tumor suppressor functions of RB and p53 are defective in more than 90% of SCLC cases. We also developed another mouse model also combines loss of p130 (Rbl2), an RB-related gene, with deletion of RB and p53. These two mouse tumors were shown to closely resemble human SCLC.
Project description:A mouse model for human small cell lung carcinoma (SCLC) has been developed based on evidence in human tumors that the tumor suppressor functions of RB and p53 are defective in more than 90% of SCLC cases. We also developed another mouse model also combines loss of p130 (Rbl2), an RB-related gene, with deletion of RB and p53. These two mouse tumors were shown to closely resemble human SCLC. The goal of this array experiment is to assess genome-wide gene expression of those mouse tumors and determine the similarity of the mouse models to human SCLC. Gene expression from Mouse Rb/p53 ( n=10 ) and Rb/p53/p130 primary tumors ( n=3 ) as well as tumor-free adult mouse lungs ( n=2 ) was measured using the Affymetrix GeneChip Mouse Genome 430-2.0 arrays.
Project description:Background:
To assist clinicians with diagnosis and optimal treatment decision-making, we attempted to develop and validate an artificial intelligence prediction model for lung metastasis (LM) in colorectal cancer (CRC) patients.
Method:
The clinicopathological characteristics of 46037 CRC patients from the Surveillance, Epidemiology, and End Results (SEER) database and 2779 CRC patients from a multi-center external validation set were collected retrospectively. After feature selection by univariate and multivariate analyses, six machine learning (ML) models, including logistic regression, K-nearest neighbor, support vector machine, decision tree, random forest, and balanced random forest (BRF), were developed and validated for the LM prediction. The optimization model with best performance was compared to the clinical predictor. In addition, stratified LM patients by risk score were utilized for survival analysis.
Project description:A mouse model of HCC has been developed based on the reported inactivation of the RB pathway in the majority of human HCC. This mouse model harbors floxed alleles of Rb and p130 genes, as well as germline mutation of the p107 gene. Various strategies to activate the activity of a Cre recombinase leads to the efficient deletion of the three genes in the liver of adult mice (TKO mice). Disruption of the RB pathway induces the rapid development of HCC. These HCCs share many similar features of human HCC. The goal of this array is to assess genome wide expression of TKO HCCs. Gene expression of control livers (n=4) or TKO HCCs (n=5) was measured using the Affymetrix GeneChip Mouse Genome 430-2.0 arrays