Strategies for resolving cellular phylogenies from sequential lineage tracing data

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Foilsithe in:bioRxiv (Jan 14, 2025)
Príomhchruthaitheoir: Mulberry, Nicola
Rannpháirtithe: Stadler, Tanja
Foilsithe / Cruthaithe:
Cold Spring Harbor Laboratory Press
Ábhair:
Rochtain ar líne:Citation/Abstract
Full text outside of ProQuest
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LEADER 00000nab a2200000uu 4500
001 3155458968
003 UK-CbPIL
022 |a 2692-8205 
024 7 |a 10.1101/2025.01.14.632902  |2 doi 
035 |a 3155458968 
045 0 |b d20250114 
100 1 |a Mulberry, Nicola 
245 1 |a Strategies for resolving cellular phylogenies from sequential lineage tracing data 
260 |b Cold Spring Harbor Laboratory Press  |c Jan 14, 2025 
513 |a Working Paper 
520 3 |a A combination of recent advancements in molecular recording devices and sequencing technologies has made it possible to generate lineage tracing data on the order of thousands of cells. Dynamic lineage recorders are able to generate random, heritable mutations which accumulate continuously on the timescale of developmental processes; this genetic information is then recovered using single-cell RNA sequencing. These data have the potential to hold rich phylogenetic information due to the irreversible nature of the editing process, a key feature of the employed CRISPR-based systems that deviates from traditional assumptions about molecular mutation processes, and recent technologies have furthermore made it possible for mutations to be acquired sequentially. Understanding the information content of these recorders remains an open area of investigation. Here, we model a sequentially-edited recording system and analyse the experimental conditions over which exact phylogenetic reconstruction occurs with high probability. We find, using simulation and theory, explicit parameter regimes over which simple and efficient distance-based reconstruction methods can accurately resolve the cellular phylogeny. We furthermore illustrate how our theoretical results could be used to help inform experimental design.Competing Interest StatementThe authors have declared no competing interest. 
653 |a Phylogenetics 
653 |a Information processing 
653 |a CRISPR 
653 |a Phylogeny 
653 |a Mutation 
653 |a RNA editing 
653 |a Information systems 
700 1 |a Stadler, Tanja 
773 0 |t bioRxiv  |g (Jan 14, 2025) 
786 0 |d ProQuest  |t Biological Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3155458968/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://www.biorxiv.org/content/10.1101/2025.01.14.632902v1