Project description:Cancer is predominantly a somatic disease. A mutant allele found in cancer cell genome is considered somatic when it is absent in paired normal genome and dbSNP, the most comprehensive public SNP database. However, dbSNP inadequately represents several non-Caucasian populations including that from the Indian subcontinent, posing a limitation in cancer genomic analyses of data from these populations. We present TMC-SNPdb, as the first open source freely accessible (through ANNOVAR), flexible and upgradable SNP database from whole exome data of 62 normal samples derived from cancer patients of Indian origin, representing 114,309 unique germline variants. TMC-SNPdb is presented with a companion subtraction tool that can be executed with command line option or an easy-to-use graphical user interface (GUI) with the ability to deplete additional Indian population specific SNPs over and above that possible with dbSNP and 1000 Genomes databases. Using an institutional generated whole exome data set of 132 samples of Indian origin, we demonstrate that TMC-SNPdb reduced 42%, 33% and 28% false positive somatic events post dbSNP depletion in Indian origin tongue, gallbladder, and cervical cancer samples, respectively. Beyond cancer somatic analyses, we anticipate utility of TMC-SNPdb in several Mendelian germline diseases.
Project description:The study involves whole exome sequencing of 20 primary tumors obtained from lung squamous carcinoma patients of Indian origin. With this, we aim to describe the mutational profile of this specific subset of lung cancer patients. This knowledge will further allow us to gain an insight into potentially actionable genomic alterations prevalent in Indian lung squamous carcinoma.
Project description:This study involves characterization of four head and neck cancer cell lines -- NT8e, OT9, AW13516 and AW8507, established from Indian head and neck cancer patients, using SNP arrays, whole exome and whole transcriptome sequencing.
Project description:This study involves characterization of four head and neck cancer cell lines -- NT8e, OT9, AW13516 and AW8507, established from Indian head and neck cancer patients, using SNP arrays, whole exome and whole transcriptome sequencing.
Project description:This study involves characterization of four head and neck cancer cell lines -- NT8e, OT9, AW13516 and AW8507, established from Indian head and neck cancer patients, using SNP arrays, whole exome and whole transcriptome sequencing.
Project description:To identify the differential expression of circRNAs in cardiac fibrosis of db/db mice, db/db mice cardiac apex tissues were detected through microarray analysis at the age of 21 weeks. Compared with normal control mice, 77 circRNAs were up-regulated and 135 circRNAs were down-regulated in the chromosomes of db/db mice (fold changes ≥1.5, p-values ≤ 0.05). Moreover, Real-time qPCR was performed to validate the expression of circRNAs. In db/db mice, the top four up-regulated circRNAs, mmu_circRNA_28667, mmu_circRNA_32303, mmu_circRNA_20674, mmu_circRNA_25425 were verified. In db/db mice, the top four down-regulated circRNAs which were indexed by circBase database were verified. They were mmu_circRNA_014302, mmu_circRNA_001535, mmu_circRNA_005522 and mmu_circRNA_013422.
Project description:The type 2 diabetes medication, rosiglitazone, has come under scrutiny for possibly increasing the risk of cardiac disease and death. To investigate the effects of rosiglitazone on the diabetic heart, we performed cardiac transcriptional profiling of a murine model of type 2 diabetes, the C57BL/KLS-leprdb/leprdb (db/db) mouse. We compared cardiac gene expression profiles from three groups: untreated db/db mice (db-c), db/db mice after rosiglitazone treatment (db-t), and non-diabetic db/+ mice. Mice were divided into three groups: Non-diabetic controls (db/+), untreated diabetic controls (db-c), and rosiglitazone-treated diabetic mice (db-t). Whole-heart RNA from five mice from each of the three groups after four months with or without treatment was used for microarray analysis.Universal Reference RNAs for mouse (Stratagene, La Jolla, CA) were purchased as microarray reference controls.
