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Updated: May 7, 2025

Characterizing Mutational Load and Clonal Composition of Human Blood
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Tracking Somatic Mutations for Lineage Reconstruction.

Yaara Neumeier1, Ofir Raz1, Liming Tao1

  • 1Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.

Methods in Molecular Biology (Clifton, N.J.)
|January 2, 2025
PubMed
Summary
This summary is machine-generated.

Short Tandem Repeats (STRs), highly mutable genomic regions, enable retrospective analysis of human cell development. Our platform integrates biochemistry and computation for single-cell lineage tracing, overcoming analysis challenges.

Keywords:
CancerHumanLineage treeRetrospectiveShort tandem repeatsSingle cell

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • The human genome contains mutable regions, including Short Tandem Repeats (STRs), which are prone to somatic mutations.
  • STRs are repetitive DNA sequences, primarily in noncoding regions, making them valuable for studying cell development.
  • Analyzing STRs in vitro is challenging due to amplification-induced stutter noise.

Purpose of the Study:

  • To develop an integrated biochemical-computational platform for single-cell lineage analysis.
  • To leverage the high mutability of STRs for retrospective tracing of human cell developmental history.
  • To overcome the technical challenges associated with STR analysis in single cells.

Main Methods:

  • Development of an integrated biochemical and computational pipeline.
  • Utilizing single cells as input for the analysis.
  • Employing Short Tandem Repeats (STRs) as mutable markers for lineage tracing.

Main Results:

  • The platform successfully generates a lineage tree from input single cells.
  • Demonstrates the feasibility of using STR mutability for reconstructing cellular histories.
  • Provides a method to overcome stutter noise in STR analysis.

Conclusions:

  • The integrated platform offers a novel approach for single-cell lineage analysis.
  • STRs are powerful tools for unraveling the developmental trajectories of human cells.
  • This methodology enhances our ability to study somatic mutations and cellular evolution.