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Single-cell deoxyribonucleic acid typing for forensic mixtures and trace evidence:Opportunities,validation requirements,and reporting limits 认领 引用
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作者 Kyriacos Evangelou Paraskevi Angeli +1 位作者 Andreas Polydorou Thalia Petropoulou 《World Journal of Biological Chemistry》 2026年第2期1-9,共9页
Forensic deoxyribonucleic acid(DNA)interpretation is limited less by genotyping technology than by the biochemical and inferential effects of mixed,low-template,and environmentally complex traces.Single-cell and singl... Forensic deoxyribonucleic acid(DNA)interpretation is limited less by genotyping technology than by the biochemical and inferential effects of mixed,low-template,and environmentally complex traces.Single-cell and single-molecule strategies,including the United Kingdom Research and Innovation-funded single-cell and single-molecule analysis for DNA identification(SCAnDi)program,aim to preserve cellular resolution.They allow investigators to isolate and type individual cells or defined small-cell pools before heterogeneous evidence is converted into a bulk lysate.In selected validation settings,this approach has yielded near-complete diploid short tandem repeat(STR)profiles from small pools,credible genotype sets tightly concentrated on the true genotype across high-order mixtures,and improved access to donor-specific profiles from sexual assault and other complex samples.However,these studies also show important limits.Many operationally successful“single-cell”workflows are,in practice,single-cell-plusconsensus or few-cell workflows.Stochastic effects remain intrinsic,and cell capture itself becomes a probabilistic sampling step.This opinion review explicitly adopts an evaluative stance:It synthesizes recent validation studies and guidance documents to identify the performance thresholds and reporting boundaries that should be met before targeted forensic deployment of SCAnDilike workflows.We argue that casework entry should require measured cell-recovery probabilities,phenotypemisclassification rates,locus-and cell-type-specific dropout and stutter models,quantified contamination and drop-in rates,validated minimum cell counts for consensus generation,and explicit database-upload criteria.It should also require strict separation between sub-source reporting and activity-level propositions.If those conditions are met,single-cell typing can complement,rather than replace,bulk STR analysis and probabilistic genotyping in a narrow but important set of high-value forensic scenarios. 展开更多
关键词 Forensic genetics Single-cell genomics DNA mixtures Laser capture microdissection Digital cell sorting Whole-genome amplification Short tandem repeats Activity-level propositions DNA transfer
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