Project description:The goal of this study is to identify genes whose expression is affected by decapitation and auxin in moss gametophores Project ngs2017_09_moss1-auxin in CATdb What genes are misregulated in response to decapitation or auxin response?
Project description:We performed the analysis of native peptides pool of gametophores, protonema and protoplast cells of the moss. To reduce endogenous proteolytic activity we used an acid extraction buffer with a mixture of plant protease inhibitors. All the actions were performed on ice. After the proper sample preparation, the extracted peptides were identified with use of tandem mass spectrometry on the basis of protein database uniref100, taxon Physcomitrella patens.
Project description:High-throughput sequencing of endogenous small RNAs from the moss Physcomitrella patens. This dataset encompasses microRNAs and other small RNAs of ~20-24 nucleotides expressed in the moss P. patens. SAMPLES UPDATED JULY 9, 2007 TO INCLUDE DATA ON SEQUENCED SMALL RNAS THAT DO NOT MATCH THE P. PATENS GENOME Keywords: High throughput small RNA sequencing
Project description:Short (<100 codons) open reading frames (sORFs) are common features of all genomes. Proof of translation of sORFs is an important step towards finding of functional sORF-encoded peptides (SEPs). We verified translation of our predicted sORFs using mass-spectrometry (MS) analysis which is often considered as the gold standard in detection of proteins or peptides in cell. Taking into account the shortage of proteomic methods in identifying small proteins or peptides, in our study we used “peptidomic” dataset - endogenous peptides, extracted from three types of moss cells – gametophores, protonemata and protoplasts
Project description:Short (<100 codons) open reading frames (sORFs) are common features of all genomes. Proof of translation of sORFs is an important step towards finding of functional sORF-encoded peptides (SEPs). We verified translation of our predicted sORFs using mass-spectrometry (MS) analysis which is often considered as the gold standard in detection of proteins or peptides in cell. Taking into account the shortage of proteomic methods in identifying small proteins or peptides, in our study we used “peptidomic” dataset - endogenous peptides, extracted from three types of moss cells – gametophores, protonemata and protoplasts
Project description:Alternative splicing (AS) has a significant potential to impact on the eukaryotic cell transcriptome and proteome. However, the extent of this influence as well as mechanisms, providing the tissue-specific pattern of AS are poorly studied. Here, we analyzed the AS of two life forms, protonema and gametophores, as well as the protoplasts, of a model organism, the Physcomitrella patens moss, using the data of transcriptome and proteome profiling. Altogether, 12,043 genes subjected to alternative splicing were identified. The alternative splicing patterns of 302 genes involved in stress response, growth, and development are changed considerably in the process of the gametophore development, whereas AS of 276 genes involved in transcription regulation, development, cell interactions, and cell response to biotic and abiotic stresses altered upon protoplastitation. Using mass spectrometry analysis, we studied the extent to which AS contributes to proteome diversity and identified 117 isoform-specific peptides for 36 genes with AS events. Our results indicate that AS event have a little impact on the proteome diversity and mostly result in the addition of extra amino acids rather than editing of existing proteins sequences. Among differentially expressed and spliced genes we found serine/arginine-rich (SR) genes, which are known to regulate AS in cells. We identified new isoforms of these genes and data evidencing their translation were obtained at transcriptome and proteome level. We also found that treatment with abscisic and jasmonic acids led to the isoform-specific response in protonema. Besides, we revealed the potential lncRNAmRNA and lncRNApre-mRNA interactions that can influence both the expression and alternative splicing of genes. It can point at an additional level of gene expression and AS regulation by non-coding transcripts in the Physcomitrella patens moss.
Project description:We studied peptide generation process in moss Physcomitrella patens. For this purpose, analysis of peptidome and transcriptome of two different life forms (gametophores and protonema) and also of protoplasts were made.
Project description:We experimentally generated a genome-wide gene expression data. To this end, we first collected samples of three important haploid developmental stages, specifically germinating spores (gametophyte_1), protonemata (gametophyte_2) and young gametophores (gametophyte_3) (four biological replicates each). We also collected three developmental stages of the diploid phase (sporophyte), specifically sporophytes shorter than 5mm (sporophyte_1), elongated needle-like sporophytes (sporophyte_2), and sporophytes with swollen capsules (sporophyte_3)