Project description:We performed RNA-seq and Ribo-seq analyses to elucidate the translation in seeds at 85 and 115 DAF. We also completed a data-independent acquisition (DIA)-based proteomic analysis, while also examining relevant lipid metabolites.
Project description:Seeds germination is seriously sensitive to salt stress. The mechanism in response to salt stress during seed germination is still little known. In this study, two genotypes of hulless barley lk621 and lk53 were selected to investigate the molecular mechanism of seeds salinity response during germination stage through RNA-seq and iTRAQ technologies
Project description:Panax notoginseng (Burk) F.H. Chen is an importantly economical and medicinal plant of the family Araliacease, and its seeds are obviously characterized by the recalcitrance and after-ripening process. an isobaric tag for relative and absolute quantification (iTRAQ) and RNA-seq was used to analyze the proteomic changes and transcriptomic in seeds of P. notoginseng during the after-ripening process .
Project description:We report the application of RNA-seq technology for highthroughput profiling of photosynthetic and non-photosynthetic seeds of Arabidopsis chlorophyll synthase mutant seeds. By generating over 21 GB of sequence data from these seeds, we showed that genes involved in oil accumulation in non-photosynthetic seeds were significantly induced compared to photosynthtic seeds. Additionally we found that genes involved in the plastidal oxidative pentos phosphate pathway were significantly upregulated in the non-photosynthetic seed opposite to photosynthetic seeds. Overall our RNA-seq analysis revealled the genes and pathway interaction underpinining oil accumulation in non-photosynthetic seeds.
2022-06-30 | GSE152614 | GEO
Project description:RNA-seq of germinating Arabidopsis seeds
| PRJNA885244 | ENA
Project description:RNA-Seq of Chinese fir seeds
| PRJNA898903 | ENA
Project description:RNA-Seq of rice dehulled seeds
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.