{"doi":"10.1002/pmic.202300607","title":"Capillary blood self‐collection for high‐throughput proteomics","abstract":"In this study, we sought to compare protein concentrations obtained from a high-throughput proteomics platform (Olink) on samples collected using capillary blood self-collection (with the Tasso+ device) versus standard venipuncture (control). Blood collection was performed on 20 volunteers, including one sample obtained via venipuncture and two via capillary blood using the Tasso+ device. Tasso+ samples were stored at 2°C-8°C for 24-hs (Tasso-24) or 48-h (Tasso-48) prior to processing to simulate shipping times from a study participant's home. Proteomics were analyzed using Olink (384 Inflammatory Panel). Tasso+ blood collection was successful in 37/40 attempts. Of 230 proteins included in our analysis, Pearson correlations (r) and mean coefficient of variation (CV) between Tasso-24 or Tasso-48 versus venipuncture were variable. In the Tasso-24 analysis, 34 proteins (14.8%) had both a correlation r > 0.5 and CV < 0.20. In the Tasso-48 analysis, 68 proteins (29.6%) had a correlation r > 0.5 and CV < 0.20. Combining the Tasso-24 and Tasso-48 analyses, 26 (11.3%) proteins met these thresholds. We concluded that protein concentrations from Tasso+ samples processed 24-48 h after collection demonstrated wide technical variability and variable correlation with a venipuncture gold-standard. Use of home capillary blood self-collection for large-scale proteomics should be limited to select proteins with good agreement with venipuncture.","journal":"PROTEOMICS","year":2024,"id":435300,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8602,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":236774,"name":"Shi Huang","orcid":"0000-0003-2674-2830","position":1,"is_corresponding":false},{"id":417371,"name":"Kahraman Tanrıverdi","orcid":"0000-0002-1491-8803","position":2,"is_corresponding":false},{"id":801152,"name":"Andrew Perry","orcid":"0000-0003-3342-6158","position":3,"is_corresponding":false},{"id":840048,"name":"Kaushik Amancherla","orcid":"0000-0003-3379-5834","position":4,"is_corresponding":false},{"id":1098566,"name":"Natalie Jackson","orcid":"0009-0005-0497-064X","position":5,"is_corresponding":false},{"id":1242911,"name":"Jenna Hulsey","orcid":null,"position":6,"is_corresponding":false},{"id":326584,"name":"Jane E. Freedman","orcid":"0000-0002-0011-6164","position":7,"is_corresponding":false},{"id":251876,"name":"Ravi V. Shah","orcid":"0000-0002-4471-7156","position":8,"is_corresponding":false},{"id":375799,"name":"Brian R. Lindman","orcid":"0000-0002-6879-5343","position":9,"is_corresponding":false},{"id":1242462,"name":"Bassim El‐Sabawi","orcid":"0000-0001-5252-4293","position":0,"is_corresponding":true}],"reference_count":19,"raw_metadata":null,"created_at":"2026-07-19T02:00:03.406367Z","pmid":"38783781","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}