Data · dataset · 2022
A multi-omics based anti-inflammatory immune signature characterizes Long COVID Syndrome - Kovarik et al.
Listed in Teesside University Research Data Repository
Supplementary Table S1 related to Figure 1: Student's t-test statistics between long-covid and recovered, long-covid and healthy as well as recovered and healthy are shown.
Description
For each identified protein, log2 label-free quantification (LFQ) intensities, numbers of identified peptides, numbers of identified unique peptides as well as the sequence coverage is listed. Supplementary Table S2 related to Figure 2: Student's t-test statistics between long-covid and recovered, long-covid and healthy as well as recovered and healthy are shown.
For each identified eicosanoid normalized area under the curve (nAUC) values are listed. Supplementary Table S3 related to Figure 3: Student's t-test statistics between long-covid and recovered, long-covid and healthy as well as recovered and healthy are shown. For each identified metabolite log2 concentrations in µM are listed.
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Supplementary Table S4 related to Figure 3: Heatmap data matrix. Normalized values generated by dividing the concentration of each lipid through the average concentration of this lipid over all samples.
Links
Where it is published
- DOI doi.org/10.17632/sv8hx7gkxp.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Mass spectrometry
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/sv8hx7gkxp.1 | 7 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:mass-spectrometry | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Proteomics'] |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |