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7 results for “peptidomics”
URInary peptidomic patterns of Long-COVID syndrome "UriCoV"
<p>Post acute sequelae of SARS-CoV-2 infection (PASC), also referred to as long COVID, is the most frequent, yet poorly characterized sequelae of COVID-19. It has tremendous, unpredictable consequences on personal health and socioeconomic status of affected individuals, and on global economic issues. UriCov is a multidisciplinary, comprehensive project with the aim to investigate in depth the molecular phenotype(s) of individual patients previously infected by SARS-CoV-2 and identify patients at risk of PASC. This will be achieved through multi-disciplinary research based on omics and clinical data in a bioinformatics framework, based on the hypothesis that endothelial damage is a key event in PASC. The developed molecular tools may allow patient stratification to initiate personalized treatment for prevention of PASC prior to symptoms and to decrease the PASC incidence. UriCoV will also provide missing fundamental knowledge on the molecular pathophysiology of PASC.</p>
Data from: Peptidomics-based phylogeny and biogeography of Mantophasmatodea (Hexapoda)
The insect order Mantophasmatodea was described in 2002. Prior to that time, several generations of entomologists had assumed that all major insect taxa were known; thus, its description was a sensation for zoologists. Since then, a surprising abundance and species diversity of this taxon have been found, particularly in the winter rainfall region of South Africa. To learn more about the evolutionary lineages, speciation, and biogeography of Mantophasmatodea, we applied an unusual peptidomics approach. We collected specimens of almost all known and novel taxa of these insects, developed methods for immediate sample preparation in the field, introduced peptide mass fingerprints for the unambiguous identification of taxa, and subsequently analyzed the most extensive dataset on peptide hormones ever compiled for insect taxa. To account for intraspecific variation, we analyzed several individuals per putative species. Increased taxon sampling was preferred over a further increase in the number of characters to optimize the accuracy of phylogenetic analyses. The large dataset made it possible to test the validity of using neuropeptide sequences, which co-evolve with their respective receptors, to analyze phylogenetic relationships among closely related taxa. Altogether, the data from 71 populations of Mantophasmatodea were sufficient to clearly separate the major clades of Mantophasmatodea, including previously undescribed taxa such as Pachyphasma, Striatophasma, and Austrophasmatidae gen. et sp. nov. 'RV'. The data confirm the monophyly of Austrophasmatidae and show a relatively recent and extensive radiation in the winter rainfall region of South Africa but also suggest that the species-level diversification of Namibian Mantophasma is less marked than previously thought. We discuss the biogeographical and ecological factors that may have resulted in different regional patterns of endemism and species diversity in Mantophasmatodea. The unique development of the neuroendocrine capa-neurons in the ventral nervous system is described as synapomorphy of Mantophasmatodea + Grylloblattodea and is a further argument for a close relationship between these insect taxa.
Validation of a Fetal Urine Peptidome-based Classifier to Predict Post-natal Renal Function in Posterior Urethral Valves
ClinicalTrials.gov study NCT03116217. IPD Sharing: NO. Countries: 9. Publications: 9.
Data from: Peptidomics-based phylogeny and biogeography of Mantophasmatodea (Hexapoda)
Open the record for dataset details and reuse information.
A large peptidome dataset improves HLA class I epitope prediction across most of the human population
GEO Series GSE131267. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
MHC-II peptidome of the CNS reveals endogenous guardian peptides
GEO Series GSE240691. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Small proteome of Methanosarcina mazei: Insights from Ribo-seq and peptidomics under different nitrogen conditions
GEO Series GSE240615. Methanosarcina mazei Go1. 8 samples. Type: Expression profiling by high throughput sequencing; Other.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.