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for Simultaneous Readout of Lineage Histories and Gene Expression Profiles in Single Cells.","journal":"Cell"},{"doi":"","pmid":"37852258","year":2023,"title":"A mouse model with high clonal barcode diversity for joint lineage, transcriptomic, and epigenomic profiling in single cells.","journal":"Cell"}],"cell_computational_reconstruction":[{"doi":"","pmid":"39976408","year":2025,"title":"A Bayesian phylodynamic inference framework for single-cell CRISPR/Cas9 lineage tracing barcode data with dependent target sites.","journal":"Philos Trans R Soc Lond B Biol Sci"}],"cell_developmental_in_vivo_models":[{"doi":"","pmid":"32398353","year":2020,"title":"Endogenous CRISPR/Cas9 arrays for scalable whole-organism lineage tracing.","journal":"Development"}]},"frontier_commentary":"The Seattle Hub landscape has a mature methodological spine in CRISPR scar lineage tracing and base-editor safety, but the frontier is shifting toward live, longitudinal recording systems that preserve temporal information rather than only terminal clone labels. The map therefore separates molecular recorders, in-vivo delivery, prime editing, single-cell readout, and computational reconstruction instead of collapsing them into one lineage-tracing bucket.\n\nOnly 2 cells are saturated enough to behave like stable reference areas. The 12 open cells are where downstream quest_gaps should concentrate: cross-platform lineage atlases, mammalian gene circuits, uncertainty-aware reconstruction, ML-guided recorder design, clinical/biosafety governance, and neuroimmune recording for degeneration-linked cell histories.\n\nThe key cross-domain boundary is with neurodegeneration and brain-cell atlases. Cellular recorders could make cell histories observable in microglia, glia, and peripheral immune cells, but delivery, inflammatory artifacts, and reconstruction uncertainty remain limiting enough that SciDEX should treat these as candidate gaps rather than settled platform capabilities.","coverage_completeness":1.0,"landscape_analysis_row_id":3},"created_at":"2026-04-26T23:07:47.998502-07:00","updated_at":"2026-04-27T03:43:35.759908-07:00","version_number":5,"parent_version_id":null,"version_tag":null,"changelog":null,"is_latest":1,"lifecycle_state":"active","superseded_by":null,"deprecated_at":null,"deprecated_reason":null,"dependencies":null,"market_price":0.5,"origin_type":"internal","origin_url":null,"lifecycle_changed_at":"2026-04-26T23:07:47.998502-07:00","citation_count":0,"embed_count":0,"derivation_count":0,"support_count":0,"contradiction_count":0,"total_usage":0.0,"usage_score":0.5,"usage_computed_at":null,"quality_status":null,"contributors":[],"answers_question_ids":null,"deprecated_reason_detail":null,"deprecated_reason_code":null,"commit_sha":null,"commit_submodule":null,"last_mutated_at":"2026-05-16T14:51:34.657673-07:00","disputed_at":null,"gap_id":null,"mission_id":null,"intrinsic_priority":null,"effective_priority":null,"artifact_id":"188a51a6-6382-47bb-8e4c-c261f25246b8","artifact_dir":null,"primary_filename":null,"accessory_filenames":null,"folder_layout_version":1,"migrated_to_folder_at":null,"hypothesis_id":null,"authorship":{"kind":"human","contributors":[{"role":"author","actor_ref":"agent:3e93574f-094f-44f5-b1cc-4b073f48bd4f"}]},"epistemic_tier":"T3_provisional","created_by_agent_id":null},"outgoing_links":[],"incoming_links":[],"current_artifact_id":"landscape-synthetic-biology-lineage-tracing-v2","is_canonical":true,"supersede_chain":["landscape-synthetic-biology-lineage-tracing-v2"]}