Project description:To efficiently identify genetic susceptibility variants for gastric cancer, including rare coding variants, we performed an exome chip-based array study. We found that a linkage disequilibrium (LD) block containing 2 significant variants in PSCA gene increased the risk and two blocks that included 15 suggested variants including TRIM31, TRIM 40, TRIM 10, and TRIM26 regions, and included one suggested variant and OR2H2 gene showed protective associations with gastric cancer susceptibility. In addition, the PLEC region (rs200893203), FBLN2 region (rs201192415), and EPHA2 region (rs3754334) were associated with increased susceptibility We performed an exome chip-based array study in 329 gastric cancer cases and 683 controls.
Project description:To efficiently identify genetic susceptibility variants for gastric cancer, including rare coding variants, we performed an exome chip-based array study. We found that a linkage disequilibrium (LD) block containing 2 significant variants in PSCA gene increased the risk and two blocks that included 15 suggested variants including TRIM31, TRIM 40, TRIM 10, and TRIM26 regions, and included one suggested variant and OR2H2 gene showed protective associations with gastric cancer susceptibility. In addition, the PLEC region (rs200893203), FBLN2 region (rs201192415), and EPHA2 region (rs3754334) were associated with increased susceptibility
Project description:The aim of the current study is to identify genes that show differential expression within the gastric lymph node of parasite resistant and susceptible sheep. For this we exploited parasite-naïve Blackface lambs with diversity in their predicted genetic resistance to T. circumcincta, which were trickle-infected with L3 larvae to mimic natural infection. This regime resulted in lambs with a spectrum of resistance as assessed by adult worm counts, faecal egg counts and IgA levels. Gastric lymph node tissue was used for transcription profiling of resistant and susceptible lambs to identify genes and physiological pathways associated with the differential activation of the immune response linked to the different disease outcomes.
Project description:MDS patients are characterized as the deletion in chromosome 17. We generated induced pluripotent stem cells (iPSCs) from MDS fibroblasts. We performed SNP microarray analysis using Affymetrix axiom EUR array platform. Affymetrix axiom EUR arrays were performed according to the manufacturer's directions on DNA extracted from MDS fibroblasts and iPSCs.
Project description:Because gastric cancer cells already had genetic and epigenetic alterations which can affect the gastric carcinogenesis, we tried to characterize genetic and epigenetic changes during gastric carcinogenesis. To do this, we performed SNP array.
Project description:Take-all is a devastating soil-borne disease that affects wheat production. The continuous generation of disease-resistance germplasm is an important aspect of the management of this pathogen. In this study, we characterized the wheat-Psathyrostachys huashania Keng-derived progeny H139 that exhibits significantly improved resistance to wheat take-all disease compared with its susceptible parent 7182. GISH) and mc-FISH analyses revealed that H139 is a stable wheat-P. huashania disomic substitution line lacking wheat chromosome 2D.EST-STS marker and Wheat Axiom 660K Genotyping Array analysis further revealed that H139 was a novel wheat-P. huashania 2Ns/2D substitution line, and that the P. huashania 2Ns chromosome shares high sequence similarity to wheat chromosome 2D. These results indicate that H139, with its enhanced wheat take-all disease resistance and desirable agronomic traits, provides valuable genetic resources for wheat chromosome engineering breeding.
Project description:The ACP02 cell line was stablished from a primary diffuse adenocarcinoma (T3N2M0) and AGP01 cell was established from ascitic fluid cells from intestinal gastric adenocarcinoma (T3N2M1). mRNA samples from cell lines were amplified, labeled, and hybridized to the Affymetrix GeneChip Human Exon 1.0 ST array. The chip array data analysis was performed with Partek® software (http://www.partek.com).
