2026-10-10 https://api.researchdata.se/oai-pmh

oai:researchdata.se:doi-10-17044-scilifelab-28902911/0 2026-01-08 subject:ssif:3 subject:ssif:30401 subject:ssif:304 subject:ssif:10605 subject:ssif:106 subject:ssif:1 subject:ssif:30209 subject:ssif:302 principal:slug:royal-institute-of-technology

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.17044/SCILIFELAB.28902911 Exploration of immune phenotypes in self-sampling citizens https://orcid.org/0000-0003-1492-3052 Annika Bendes https://orcid.org/0000-0002-2669-7796 Vincent Albrecht Hooman Aghelpasand Sofia Björkander https://orcid.org/0000-0001-5974-7676 Anja Mezger Max Käller Claudia Fredolini https://orcid.org/0000-0002-0504-6492 Olof Beck Erik Melén https://orcid.org/0000-0003-1712-060X https://orcid.org/0000-0002-2357-1020 Niclas Roxhed https://orcid.org/0000-0001-8141-8449 Medical and Health Sciences Medicin och hälsovetenskap Medical Biotechnology (Focus on Cell Biology, (incl. Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy) Medicinsk bioteknologi (inriktn. mot cellbiologi (inkl. stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci) Immunology Immunologi Infectious Medicine Infektionsmedicin This dataset contains levels of circulating antibodies and proteins measured in dried blood spot (DBS) samples. Study participants from the general population in Stockholm and Gothenburg (Sweden) self-sampled blood using sampling kits (Capitainer AB) during the spring of 2021. - Levels of circulating antibodies were determined by multi-analyte serology using the Luminex platform. The data has been processed and normalised using a mixed model, followed by a Z-score transformation. - Levels of circulating proteins were determined by proximity extension assays using the Olink Explore Inflammation panel from the Olink platform and NULISA-Seq using the 250-plex inflammation panel from Alamar Biosciences. The raw data has been processed using ProtPQN (https://doi.org/10.5281/zenodo.12731705) , followed by a Z-score transformation. The files contain the following data and information: - antigen_info.csv: Information about the antigens used in the serology assays. - protein_data.csv: Proteomics measurements in wide format (each row a sample, each column a protein). - protein_info.csv: Information about the proteins included in the proteomics assays. - sample_info.csv: Information about the samples. - serology_data.csv: Serological measurements in wide format. - readme.txt: Additional details about the file contents. Access to this data can be granted for non-commercial validation purposes and upon reasonable request to the provided contact. A reasonable request should contain the following: - Name of PI and host organisation - Contact details - The scientific purpose of the data access request - Commitment to inform when the data has been used in a publication - Commitment not to host or share the data outside the requesting organisation - Statement of non-commercial use of data info:eu-repo/semantics/restrictedAccess Royal Institute of Technology Kungliga Tekniska högskolan 2026-01-08T00:00:00Z