{"data":{"event":{"id":"3c141d5a-c091-4d2a-9957-0e4b37391d02","slug":"atlas-of-proteomic-technologies-an-evidence-based-framework-for-selectin-5adf0477b0","title":"\n\nAtlas of Proteomic Technologies: an evidence-based framework for selecting and combining commercial proteomics platforms \n\n","short_summary":"High-throughput proteomics now spans several technologies that differ in biological breadth, precision, specificity, sensitivity, cost, and method(s) of quantification; however, investigators currently lack an evidence-based framework to select or combine platforms. Here, we present the Atlas of Proteomic Technologies (APT) - a curated resource that evaluates six commercial platforms across ten analytical dimensions using published head-to-head evidence, expert evaluation, and iterative peer review. APT hosts two decision tools: the Help Me Choose tool maps a study's primary aim(s), scale, sam","full_description":"High-throughput proteomics now spans several technologies that differ in biological breadth, precision, specificity, sensitivity, cost, and method(s) of quantification; however, investigators currently lack an evidence-based framework to select or combine platforms. Here, we present the Atlas of Proteomic Technologies (APT) - a curated resource that evaluates six commercial platforms across ten analytical dimensions using published head-to-head evidence, expert evaluation, and iterative peer review. APT hosts two decision tools: the Help Me Choose tool maps a study's primary aim(s), scale, sample matrix, and technical constraints to a calibrated, weight-adjustable platform ranking, and the Help Me Combine tool ranks complementary platform pairs by their net-new protein coverage and user-specified technical priorities. Both tools were tested exhaustively across all possible combinations and behave in a balanced, merit-based manner. APT is openly accessible at https://aptatlas.org, providing downloadable tool specifications, seeded analysis scripts, and complete protein coverage lists, ensuring every score and recommendation is inspectable and reproducible.","ledger_type":"benefit","primary_domain_id":"8f1af1b9-7302-4b51-aae9-fdfac04d158a","event_status":"provisional","event_date":"2026-09-16T00:00:00.000Z","discovery_date":"2026-09-16T00:00:00.000Z","first_published_date":"2026-09-16T00:00:00.000Z","last_reviewed_date":"2026-09-16T00:00:00.000Z","geographic_scope":"International","affected_population":null,"base_impact_tier":1,"base_score":"1.00","attribution_multiplier":"0.1000","evidence_multiplier":"0.1000","realization_multiplier":"0.2000","durability_multiplier":"0.5000","current_event_score":"0.001000","confidence_level":"low","score_explanation":"Auto-published from news ingest as a provisional placeholder. Score is conservative until a named release is identified and the record is rescored.","methodology_version_id":"8745541b-0f8e-4d5a-9b47-5291d3813a8d","original_methodology_version_id":"8745541b-0f8e-4d5a-9b47-5291d3813a8d","published_at":"2026-09-16T18:00:53.715Z","created_at":"2026-09-16T18:00:53.715Z","updated_at":"2026-09-16T18:00:53.715Z","flags":[],"domain_name":"Biology","domain_slug":"biology","methodology_version":"0.2"},"contributions":[{"id":"c014d73b-2457-411f-8271-1857b9fb360c","event_id":"3c141d5a-c091-4d2a-9957-0e4b37391d02","model_id":"535014f7-c941-4d39-aa9b-8f9c1d3d07b7","role_description":"Unspecified system mentioned or implied by a news item. Remap to a named release when identified.","attribution_multiplier":"0.1000","credit_share":"1.0000","contribution_score":"0.001000","attribution_rationale":"News ingest does not infer a named model from the publisher alone. Attribution stays unspecified until a release is identified.","attribution_confidence":"medium","first_used_date":"2026-09-16T00:00:00.000Z","model_version_if_known":null,"review_status":"approved","created_at":"2026-09-16T18:00:53.729Z","model_slug":"unspecified-ai-system","model_name":"Unspecified AI system","identity_class":"unknown","is_internal":false,"family_name":"Unspecified","family_slug":"unknown-unspecified","organization_name":"Unknown","organization_slug":"unknown"}],"sources":[{"id":"698ba57f-e8d6-4bad-a73f-38e7909a25e6","event_id":"3c141d5a-c091-4d2a-9957-0e4b37391d02","url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.750723v1?rss=1\n","canonical_url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.750723v1?rss=1\n","source_type":"preprint","publisher":"bioRxiv","author":null,"publication_date":"2026-09-16T00:00:00.000Z","retrieved_at":"2026-09-16T18:00:53.740Z","title":"\n\nAtlas of Proteomic Technologies: an evidence-based framework for selecting and combining commercial proteomics platforms \n\n","excerpt":"High-throughput proteomics now spans several technologies that differ in biological breadth, precision, specificity, sensitivity, cost, and method(s) of quantification; however, investigators currently lack an evidence-based framework to select or combine platforms. Here, we present the Atlas of Proteomic Technologies (APT) - a curated resource that evaluates six commercial platforms across ten analytical dimensions using published head-to-head evidence, expert evaluation, and iterative peer rev","content_hash":null,"source_reliability_class":"medium","is_primary_source":true,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-16T18:00:53.740Z"}],"claims":[{"id":"29507eb4-61e4-45cd-90f3-b83a2c32e3d8","event_id":"3c141d5a-c091-4d2a-9957-0e4b37391d02","claim_text":"\n\nAtlas of Proteomic Technologies: an evidence-based framework for selecting and combining commercial proteomics platforms \n\n","claim_type":"outcome","claim_status":"supported","confidence_score":null,"created_at":"2026-09-16T18:00:53.753Z","updated_at":"2026-09-16T18:00:53.753Z"}],"revisions":[{"id":"6c394d47-4259-4534-8b47-a3d2fd457aed","event_id":"3c141d5a-c091-4d2a-9957-0e4b37391d02","model_id":null,"previous_score":"0.000000","new_score":"0.001000","previous_factors":{},"new_factors":{"evidence":0.1,"base_score":1,"durability":0.5,"attribution":0.1,"realization":0.2},"change_reason":"Auto-published from news ingest.","trigger_type":"news_ingest","trigger_source_ids":null,"reviewer_id":null,"review_status":"published","created_at":"2026-09-16T18:00:53.759Z"}],"secondary":[]},"methodology_version":"0.1"}