Lineage tracing methods review: Genetic markers, synthetic barcodes, and natural variants for cell fate mapping
This review article synthesizes three major approaches to lineage tracing—genetic markers, synthetic barcodes, and natural variants—and their integration with single-cell multi-omics and spatial profiling technologies. It discusses how cell fate mapping is essential for understanding development, tissue homeostasis, regeneration, and disease mechanisms. The article also addresses computational challenges in analyzing lineage tracing data and provides experimental design guidance for researchers aiming to decode cell fate decisions in both health and disease contexts.
Key quotes
Cell fate dictates the developmental trajectory a cell follows—from its origin to its terminal identity—under physiological and pathological conditions.
Mapping these fates is essential for understanding tissue development, homeostasis, and repair, as well as how aberrant lineage decisions drive disease.
Cell fate choice is often conceptualized using Waddington's landscape, where a cell rolls down a branched, contoured hill, progressively restricting its developmental potential until it settles in...
You might also wanna read
New probe could help trace Alzheimer's-linked lipids one cell at a time
Mapping of the Developmental Atlas of the Visual System and Research on Embryonic Neurogenesis Phenomena

Age engineering: Creating age-matched tissues for better biomedical models of ageing
This article discusses the emerging field of 'age engineering' or 'ageneering' — the methodological approach to engineering the age of tissu
AI and Machine Learning Enable New Molecular-Level Maps of the Brain's Cellular Landscape
This article from Quanta Magazine explores how machine learning is revolutionizing neuroscience by helping researchers map the brain at the
Technical Blueprint for Computational Assembly of Virtual Humans from Genomic Principles
This document presents a comprehensive technical blueprint for computationally assembling a complete virtual human from genomic first princi


Comments
Sign in to join the conversation.
No comments yet. Be the first.