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…mehr
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.
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.
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