Lineage Tracing

This volume covers the state-of-art lineage tracing methods, to record these recent multi-front rapid progresses and promote development of further powerful tools. Chapters explores a broad spectrum of techniques that have been developed and refined over the years, offering a detailed exposition of their principles, applications, and limitations. Additional chapters cover classic methods, such as genetic lineage tracing, clonal analysis, single-cell RNA sequencing, and live-cell imaging. Written in the highly successful
Methods in Molecular Biology
series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge,
Lineage Tracing: Methods and Protocols
aims to serve as a valuable resource, fostering new discoveries and advancements in the exciting field of cell lineage tracing.

Bayesian Phylogenetic Lineage Reconstruction with Loss of Heterozygosity Mutations Derived from Single-cell RNA Sequencing. - Tracking somatic mutations for lineage reconstruction. - Multicolor cell lineage tracing using MAGIC Markers strategies. - Single cell lineage tracing and clonal state-fate analysis. - Lineage recording in human brain organoids with iTracer. - Clonal tracking in the mouse brain with single-cell RNA-seq. - Lineage tracing by light-sheet microscopy and computational reconstruction. - Reconstructing progenitor state hierarchy and dynamics using lineage barcoding data. - Tracking cell phylogenies in the human brain with somatic mosaic mutations. - Paired single-cell transcriptome and DNA barcode detection in zebrafish using ScarTrace. - LINNAEUS - Simultaneous single-cell lineage tracing and cell type identification. - In Vivo Clonal Analysis Using MADM with Spatio-temporal Specificity. - CARLIN: a mouse line for simultaneous readout of lineage histories and gene expression. - Single-cell profiling of lineages and cell types in the vertebrate brain. - StarTrack: Mapping Cellular Fates with Inheritable Color Codes. - Design and generation of TEMPO reagents for sequential labelling and manipulation of vertebrate cell lineages. - Computational Methods for Lineage Reconstruction. - GEMLI: Gene expression memory-based lineage inference from single cell RNA-sequencing datasets. - Lineage analysis at single-cell resolution by twin-spot MARCM with lineage-restricted drivers. - CLADES: a programmable cascade of genes for cell lineage analysis and manipulation.