Project description:A proteome analysis of fruit setting was analyzed using TMT protein labelling and LC–MS/MS before and after spraying GA3 in triploid loquat.
Project description:Pepper(Capsicum annuum L.) fruit development is a complex and genetically programmed process, a comparative study of transcriptome and proteome changes during two varieties of pepper development(IMG, MG, Br and MR) has been carried out by using RNA-Seq and Lable-free quantitation technology.
Project description:Fruit size and shape are determined by cell division and expansion. In tomato, the model plant for fleshy fruit development, both processes are associated with changes in gene expression including transcription and RNA processing. While several transcription factors have been identified as regulators of genes involved in fruit development, the contribution of splicing regulators remains unknown. Profiling of RNA splicing-related genes revealed stage-preferential expression of several factors, including RS2Z36, a serine/arginine-rich splicing factor highly expressed during the early stages of fruit development. Mutations in RS2Z36 lead to smaller, ellipsoid fruits compared to the wild-type, with histological analysis showing elongated pericarp cells in the ovaries along the longitudinal axis. RNA-seq analysis uncovered numerous alternatively spliced genes involved in different biological processes. Complementary proteome analysis identified proteins with altered abundance and peptides corresponding to novel RNA splice variants, underscoring the role of RS2Z36 in shaping both transcriptome and proteome diversity. Immunofluorescence screening of cell wall proteins further demonstrated an increased abundance of LM6-recognized arabinan epitopes of rhamnogalacturonan-I pectins and arabinogalactan protein (AGP) epitopes in rs2z36-1 pericarp cells compared to the wild type. These findings highlight RS2Z36 as a critical regulator of alternative splicing, impacting fruit development through diverse transcriptome and proteome changes.
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).