Project description:Protein kinases (PKs) are involved in plant growth and stress responses, and constitute one of the largest superfamilies due to numerous gene duplications. However, limited PKs have been functionally described in pecan, an economically important nut tree. Here, the comprehensive identification, annotation and classification of the entire pecan kinome was reported. A total of 967 PK genes were identified from pecan genome, and further classified into 20 different groups and 121 subfamilies using the kinase domain sequences, which were verified by the phylogenetic analysis. The receptor-like kinase (RLK) group contained 565 members, which constituted the largest group. Gene duplication contributed to the expansion of pecan kinome, 169 duplication events including 285 PK genes were found, and Ka/Ks ratio revealed they experienced strong negative selection. GO functional analysis indicated majority PKs involved in molecular functions and biological processes. The RNA-Seq data of PK genes in pecan were further analyzed at subfamily level, and different PK subfamilies performed various expression patterns across different conditions or treatments, suggesting PK genes in pecan involved in multiple biological functions and stress responses. Taken together, this study provided insight into the expansion, evolution and function of pecan PKs. Our findings regarding expansion, expression and co-expression analyses could lay a good foundation for future research to understand the roles of pecan PKs, and find the key candidate genes more efficiently.
Project description:This model was reconstructed from single-nucleus RNA-seq (snRNA-seq) data of human postmortem brain and curated using published metabolomics data from human iPSC-derived neurons and cerebrospinal fluid (CSF), together with gene expression data from the Human Protein Atlas. It more accurately simulates human neuronal metabolic flux in neurodegenerative conditions such as Alzheimer's disease (AD).
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.
2024-09-02 | MODEL2408160001 | BioModels
Project description:Pecan transcriptome
| PRJNA401009 | ENA
Project description:Comparative RNA-Seq analysis of pecan kernels in four developmental stages post harvest
Project description:To investigate the mechanisms of cell competition, we analysed the molecular differences between wild type and mild CncC (Nrf2) over-expressing causing the loser phenotype in Drosophila wing discs. We then compared the genes differentially expressed in these conditions to our previously identified ‘loser signature’ which reveal a significant overlap. From this later comparison, we raised a list of 121 up-regulated genes to conduct a cell competition screen using PECAn (Pipeline for Enhanced Clonal Analysis) for automating analysis of mosaic experiment.