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Whole-genome single-cell multimodal history tracing to reveal cell identity transition
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Whole-genome single-cell multimodal history tracing to reveal cell identity transition

Yumiko K. Kawamura, Valentina Khalil, Taro Kitazawa
August 2025
 ·
bioRxiv
 ·
DOI 
10.1101/2025.08.12.669973
94
%
Reproducible
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Why this is interesting

By enabling simultaneous profiling of past and present genomic states in single cells, HisTrac-seq overturns the assumption that cell fate transitions are continuous, uncovering large-scale abrupt identity jumps and a hidden layer of developmental plasticity.

QED claims analysis

Summary

HisTrac-seq enables simultaneous profiling of past and present whole-genome chromatin states in single cells by enzymatically depositing stable m6A bookmarks that persist for months in vivo, revealing that 20-30% of differentiating neurons undergo large-scale disruptive identity transitions driven by premature activation of developmental programs through enhancer activation and bivalent chromatin resolution.

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Main Claim 1 –

Dam-POI fusions deposit m6A to label chromatin modalities

Main Claim 2 –

HisTrac-seq retrospectively reconstructs past chromatin states during differentiation

Supporting evidence

  • HisTrac-seq tracks temporal chromatin states in neurons and cardiomyocytes
Main Claim 3 –

In vivo m6A bookmarks persist two months for brain history tracing

Main Claim 4 –

scHisTrac-seq co-profiles past m6A and present H3K27ac in cells

Supporting evidence

  • Dam&Tag uses m6A-Tracer and Tn5 for single-cell m6A mapping
  • scDam&Tag yields high-complexity droplet single-cell chromatin profiles

Abstract

Advances in single-cell sequencing have deepened our understanding of cellular identities. However, because they inherently capture only static snapshots, after which no further observations are possible, we cannot compare past and present profiles within the same cell. Thus, multi-time-point whole-genome profiling at single-cell resolution has been a long-standing goal. Here, we introduce the History Tracing-sequencing (HisTrac-seq) platform, which enzymatically labels genomic DNA adenine to “bookmark” gene regulatory statuses. This first enabled the profiling of transcriptomic and epigenetic states in the mouse brain over a period of two months. Furthermore, extending HisTrac-seq to single-cell multi-omics sequencing, we demonstrated the simultaneous mapping of past and present profiles of the same single cells. Analyzing over 93,000 cells, we discovered unexpected, drastic cell identity transitions on a large scale (“identity jumps”). This phenomenon was previously unobservable with current technologies and revealed a hidden layer of developmental plasticity. HisTrac-seq offers a powerful approach to “temporal multi-omics” for disentangling dynamic biological processes involved in development, plasticity, aging, and disease progression.

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