Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
Project description:This database provides TMT-labeled proteomic data of aorta (thoracic aorta), brain, heart, kidney, liver, lung, muscle (gastrocnemius muscle), and skin (abdominal skin) of 6, 15, 24, and 30 months old male C57BL/6 mice. In addition to the whole-tissue lysate, low-soluble protein-enriched fraction was also analyzed for heart, kidney, lung, muscle, and skin. Bulk RNA-Seq data are available for brain, heart, kidney, liver, lung, muscle, and skin. The tissues used for transcriptomic analysis and proteomic analysis of whole-tissue lysate and low-soluble protein-enriched fraction were collected from the same mice. All analyses were conducted with 4 biological replicates.
Project description:This study uses advanced proteogenomic approaches in a non-model organism to elucidate cardioprotective mechanisms used during mammalian hibernation. Mammalian hibernation is characterized by dramatic reductions in body temperature, heart rate, metabolism and oxygen consumption. These changes pose significant challenges to the physiology of hibernators, especially for the heart, which maintains function throughout extreme conditions resembling ischemia and reperfusion. To identify novel cardioadaptive strategies we merged large-scale RNA-seq data with large-scale iTRAQ-based proteomic data in heart tissue from thirteen-lined ground squirrels (Ictidomys tridecemlineatus) throughout the circannual cycle. Protein identification and data analysis were run through Galaxy-P, a new multi-omic data analysis platform enabling effective integration of RNA-seq and MS/MS proteomic data. Galaxy-P uses flexible, modular workflows that combine customized sequence database searching and iTRAQ quantification to identify novel ground squirrel-specific protein sequences and provide insight into molecular mechanisms of hibernation. This study allowed for the quantification of 2007 identified cardiac proteins, including over 350 peptide sequences derived from previously uncharacterized protein products. Identification of these peptides allows for improved genomic annotation of this non-model organism, as well as identification of potential splice variants, mutations, or genome re-organization that provide insights into novel cardioprotective mechanisms used during hibernation.