Project description:The extent to which mRNA and protein levels correlate is still not fully known, especially during development, when cells undergo a major transition in gene expression. One organism with particular development is Dictyostelium discoideum, during which it transitions from free-living unicellular to multicellular. Previously the transcriptome has been thoroughly studied during multicellular development, however the proteome and its correlation to the transcriptome during this transition is not fully understood.
In this study, for the first time, paired transcriptomics and proteomics was performed in a time series during aggregative multicellularity. From the analysis, the majority of transcripts were identified as differentially expressed, and we could quantify roughly a third of the proteome during early multicellular development. The proteome and transcriptome correlate relatively highly during steady-state, however this decreases as soon as multicellular aggregation is initiated. Correlation is particularly low at the gene-level during development. We find that dynamically regulated mRNA often leads to linear up- or downregulation of the protein, and that there is a time lag of approximately 2 to 4 hours between mRNA and protein.
Project description:Transcriptome approach of small RNA was performed at two stages of seed development during early maturation (24DAP) and seed maturity (42DAP) to differentially profile smallRNA accumulation from Xcf-inoculated and water-inoculated seeds.
Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a large-seeded chickpea (genotype JGK3). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.
Project description:Global analyses of protein profiling during seed development in soybean is paramount to understand the metabolic processes that correspond to the differential protein accumulation and hence seed quality in soybean. Using high throughput tandem mass tag (TMT) based tagging techniques, we identified 4,172 proteins in three stages namely early, mid, and late seed filling. We mapped the identified metabolic pathways associated with seed filling. An elevated level of several kinases was observed from the early to mid-stages of seed filling, indicating that protein phosphorylation was a major event that occurred during this period. The early to late stages of seed filling was characterized by an increased level of proteins associated with the cell wall, oil, and vacuolar-related processes. Twenty-five seed storage protein genes located on 12 different chromosomes were identified. Among the seed storage proteins, 7S (B-subunit) and 11S (Gy3, Gy4, Gy5) exhibited steadily increased abundance from early to late-stage seed development, whereas, 2S albumin exhibited decreased abundance during the same period. An increased abundance of proteases, senescence-associated proteins and, oil synthesis proteins was observed from the mid to late stages of seed filling. The mid to late stages of seed filling were also characterized by a lower abundance of transferases, transporters, Kunitz family trypsin, and protease inhibitors. Two enzymes associated with methionine synthesis exhibited lower abundance from early to late stages. This study unveiled the expression of several key enzymes/proteins associated with amino acid and protein syntheses and their accumulation during seed development which will assist scientists and breeders to develop new value-added soybeans with improved protein quality.
Project description:transcriptome approach was performed at three stages of seed development during seed filling, seed maturation and seed maturity to compare between seed transcriptomes from Xcf-inoculated and water-inoculated seeds.