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:To understand the molecular basis of distinct pork quality in Chinese indigenous and Western breed, longissimus dorsi samples were collected from three adult Northeastern Indigenous and from three adult Large White. Total RNA was extracted and subjected to porcine Affymetrix Genechip. The study helps to elucidate the genetic mechnism of divergent pork quality and provide the theory basis for selection and genetic improvement of meat quality traits in porcine. Six longissimus dorsi samples were collected from three Northeastern Indigenous and from three Large White. Three Large White were control samples. Total RNA was extracted from each sample.Gene-expression profiling was performed for each RNA sample separately on the GeneChip® Porcine Genome Array at CapitalBio Corporation (Beijing, China).
Project description:In this study we characterize microbial community features on the surface of Indian Ocean. 11 samples were collected from Indian Ocean and subjected for quantitative metaproteomics analysis for taxonomic and functional analysis. Our results suggested that metabolic tuning at metaproteomics levels enabled microbial community to sustain stable when subjected to environmental perturbations in the oligotrophic ocean.
Project description:To understand the molecular basis of distinct pork quality in Chinese indigenous and Western breed, longissimus dorsi samples were collected from three adult Northeastern Indigenous and from three adult Large White. Total RNA was extracted and subjected to porcine Affymetrix Genechip. The study helps to elucidate the genetic mechnism of divergent pork quality and provide the theory basis for selection and genetic improvement of meat quality traits in porcine.