Project description:We combined multi-omics approaches including de novo transcriptome assembly, ribosome profiling and MS-based peptidomics to study the global role of mRNA translation and small ORFs (sORFs) in rice herbicide resistant mutant.
2021-05-11 | PXD025927 |
Project description:De novo metagenome whole genome assembly
Project description:Shot-gun whole cell lysate proteomics data from pure and enriched microbes were de-novo sequenced using PEAKS de Novo. The obtained peptide sequence lists serves as a test data for the peptide-centric taxonomy database Unipept.
Project description:Intestinal Foxp3+ regulatory T cell (Treg) subsets are crucial players for tolerance towards microbiota-derived and food-borne antigens, and compelling evidence suggests that intestinal microbiota modulate their differentiation and maintenance. Selected bacterial species and microbiota-derived metabolites such as short-chain fatty acids (SCFAs) have been reported to foster Treg homeostasis in the intestinal lamina propria. Furthermore, gut-draining mesenteric lymph nodes (mLNs) are particularly efficient sites of de novo Treg induction, and we could previously show that mLN stromal cells contribute to this process. Yet, it is not fully elucidated which direct role microbiota and their metabolites play for the early stages of de novo Treg induction and in shaping the Treg transcriptome already during the initial priming within mLNs. Here, we show that neither dysbiotic microbiota nor dietary SCFA supplementation impact de novo induction of Foxp3+ Tregs within mLNs. Even mice housed under germ-free (GF) conditions displayed equivalent frequencies of de novo induced Foxp3+ Tregs within mLNs. Further dissection of the accessible chromatin and transcriptome revealed that microbiota indeed have a limited impact on fostering the establishment of peripherally induced Tregs and do not contribute to the initialization of the epigenetic landscape for an extensive Treg signature. Viewed as a whole, our data suggest that microbiota are dispensable for the early stages of de novo Treg induction within mLNs, while being required to foster further Treg differentiation and homeostasis at later stages within the intestinal lamina propria.
Project description:We developed a software package STITCH (https://github.com/snijderlab/stitch) to perform template-based assembly of de novo peptide reads from antibody samples. As a test case we generated de novo peptide reads from protein G purified whole IgG from COVID-19 patients.
Project description:New tools for cell signaling pathway inference from multi-omics data that are independent of previous knowledge are needed. Here we propose a new de novo method, the de novo multi-omics pathway analysis (DMPA), to model and combine omics data into network modules and pathways. DMPA was validated with published omics data and was found accurate in discovering published molecular associations in transcriptome, interactome, phosphoproteome, methylome, and metabolomics data and signaling pathways in multi-omics data. DMPA was benchmarked against module discovery and multi-omics integration methods and outperformed previous methods in module and pathway discovery especially when applied to datasets with low sample sizes. Transcription factor, kinase, subcellular location and function prediction algorithms were devised for transcriptome, phosphoproteome and interactome regulatory complexes and pathways, respectively. To apply DMPA in a biologically relevant context, interactome, phosphoproteome, transcriptome and proteome data were collected from analyses carried out using melanoma cells to address gamma-secretase cleavage-dependent signaling characteristics of the receptor tyrosine kinase TYRO3. The pathways modeled with DMPA reflected the predicted function and its direction in validation experiments.
