Literature DB >> 28111472

Building a lineage from single cells: genetic techniques for cell lineage tracking.

Mollie B Woodworth1,2,3, Kelly M Girskis1,2,3, Christopher A Walsh1,2,3.   

Abstract

Resolving lineage relationships between cells in an organism is a fundamental interest of developmental biology. Furthermore, investigating lineage can drive understanding of pathological states, including cancer, as well as understanding of developmental pathways that are amenable to manipulation by directed differentiation. Although lineage tracking through the injection of retroviral libraries has long been the state of the art, a recent explosion of methodological advances in exogenous labelling and single-cell sequencing have enabled lineage tracking at larger scales, in more detail, and in a wider range of species than was previously considered possible. In this Review, we discuss these techniques for cell lineage tracking, with attention both to those that trace lineage forwards from experimental labelling, and those that trace backwards across the life history of an organism.

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Year:  2017        PMID: 28111472      PMCID: PMC5459401          DOI: 10.1038/nrg.2016.159

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  136 in total

1.  Two methods of whole-genome amplification enable accurate genotyping across a 2320-SNP linkage panel.

Authors:  David L Barker; Mark S T Hansen; A Fawad Faruqi; Diane Giannola; Orlando R Irsula; Roger S Lasken; Martin Latterich; Vladimir Makarov; Arnold Oliphant; Jonathon H Pinter; Richard Shen; Irina Sleptsova; William Ziehler; Eric Lai
Journal:  Genome Res       Date:  2004-05       Impact factor: 9.043

Review 2.  Design and Analysis of Single-Cell Sequencing Experiments.

Authors:  Dominic Grün; Alexander van Oudenaarden
Journal:  Cell       Date:  2015-11-05       Impact factor: 41.582

3.  Phylogenetic fate mapping.

Authors:  Stephen J Salipante; Marshall S Horwitz
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-28       Impact factor: 11.205

4.  piggyBac is a flexible and highly active transposon as compared to sleeping beauty, Tol2, and Mos1 in mammalian cells.

Authors:  Sareina Chiung-Yuan Wu; Yaa-Jyuhn James Meir; Craig J Coates; Alfred M Handler; Pawel Pelczar; Stefan Moisyadi; Joseph M Kaminski
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-27       Impact factor: 11.205

5.  Phylogenetic analysis of developmental and postnatal mouse cell lineages.

Authors:  Stephen J Salipante; Arnold Kas; Eva McMonagle; Marshall S Horwitz
Journal:  Evol Dev       Date:  2010 Jan-Feb       Impact factor: 1.930

6.  Clonal dispersion and evidence for asymmetric cell division in ferret cortex.

Authors:  C B Reid; S F Tavazoie; C A Walsh
Journal:  Development       Date:  1997-06       Impact factor: 6.868

7.  Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin.

Authors:  Iñigo Martincorena; Amit Roshan; Moritz Gerstung; Peter Ellis; Peter Van Loo; Stuart McLaren; David C Wedge; Anthony Fullam; Ludmil B Alexandrov; Jose M Tubio; Lucy Stebbings; Andrew Menzies; Sara Widaa; Michael R Stratton; Philip H Jones; Peter J Campbell
Journal:  Science       Date:  2015-05-22       Impact factor: 47.728

8.  Clonally Related Forebrain Interneurons Disperse Broadly across Both Functional Areas and Structural Boundaries.

Authors:  Christian Mayer; Xavier H Jaglin; Lucy V Cobbs; Rachel C Bandler; Carmen Streicher; Constance L Cepko; Simon Hippenmeyer; Gord Fishell
Journal:  Neuron       Date:  2015-08-20       Impact factor: 18.688

9.  SNES: single nucleus exome sequencing.

Authors:  Marco L Leung; Yong Wang; Jill Waters; Nicholas E Navin
Journal:  Genome Biol       Date:  2015-03-25       Impact factor: 13.583

10.  A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages.

Authors:  Robert J Kimmerling; Gregory Lee Szeto; Jennifer W Li; Alex S Genshaft; Samuel W Kazer; Kristofor R Payer; Jacob de Riba Borrajo; Paul C Blainey; Darrell J Irvine; Alex K Shalek; Scott R Manalis
Journal:  Nat Commun       Date:  2016-01-06       Impact factor: 14.919

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  75 in total

Review 1.  The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution.

Authors:  Deanne M Taylor; Bruce J Aronow; Kai Tan; Kathrin Bernt; Nathan Salomonis; Casey S Greene; Alina Frolova; Sarah E Henrickson; Andrew Wells; Liming Pei; Jyoti K Jaiswal; Jeffrey Whitsett; Kathryn E Hamilton; Sonya A MacParland; Judith Kelsen; Robert O Heuckeroth; S Steven Potter; Laura A Vella; Natalie A Terry; Louis R Ghanem; Benjamin C Kennedy; Ingo Helbig; Kathleen E Sullivan; Leslie Castelo-Soccio; Arnold Kreigstein; Florian Herse; Martijn C Nawijn; Gerard H Koppelman; Melissa Haendel; Nomi L Harris; Jo Lynne Rokita; Yuanchao Zhang; Aviv Regev; Orit Rozenblatt-Rosen; Jennifer E Rood; Timothy L Tickle; Roser Vento-Tormo; Saif Alimohamed; Monkol Lek; Jessica C Mar; Kathleen M Loomes; David M Barrett; Prech Uapinyoying; Alan H Beggs; Pankaj B Agrawal; Yi-Wen Chen; Amanda B Muir; Lana X Garmire; Scott B Snapper; Javad Nazarian; Steven H Seeholzer; Hossein Fazelinia; Larry N Singh; Robert B Faryabi; Pichai Raman; Noor Dawany; Hongbo Michael Xie; Batsal Devkota; Sharon J Diskin; Stewart A Anderson; Eric F Rappaport; William Peranteau; Kathryn A Wikenheiser-Brokamp; Sarah Teichmann; Douglas Wallace; Tao Peng; Yang-Yang Ding; Man S Kim; Yi Xing; Sek Won Kong; Carsten G Bönnemann; Kenneth D Mandl; Peter S White
Journal:  Dev Cell       Date:  2019-03-28       Impact factor: 12.270

2.  Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation.

Authors:  Jason D Buenrostro; M Ryan Corces; Caleb A Lareau; Beijing Wu; Alicia N Schep; Martin J Aryee; Ravindra Majeti; Howard Y Chang; William J Greenleaf
Journal:  Cell       Date:  2018-04-26       Impact factor: 41.582

3.  Clonal tracking using embedded viral barcoding and high-throughput sequencing.

Authors:  Charles Bramlett; Du Jiang; Anna Nogalska; Jiya Eerdeng; Jorge Contreras; Rong Lu
Journal:  Nat Protoc       Date:  2020-03-04       Impact factor: 13.491

Review 4.  Single-Cell RNA Sequencing: Unraveling the Brain One Cell at a Time.

Authors:  Dimitry Ofengeim; Nikolaos Giagtzoglou; Dann Huh; Chengyu Zou; Junying Yuan
Journal:  Trends Mol Med       Date:  2017-05-10       Impact factor: 11.951

Review 5.  DNA-based memory devices for recording cellular events.

Authors:  Ravi U Sheth; Harris H Wang
Journal:  Nat Rev Genet       Date:  2018-11       Impact factor: 53.242

6.  Developmental barcoding of whole mouse via homing CRISPR.

Authors:  Reza Kalhor; Kian Kalhor; Leo Mejia; Kathleen Leeper; Amanda Graveline; Prashant Mali; George M Church
Journal:  Science       Date:  2018-08-09       Impact factor: 47.728

Review 7.  The Structural Model: a theory linking connections, plasticity, pathology, development and evolution of the cerebral cortex.

Authors:  Miguel Ángel García-Cabezas; Basilis Zikopoulos; Helen Barbas
Journal:  Brain Struct Funct       Date:  2019-02-09       Impact factor: 3.270

Review 8.  Creating Lineage Trajectory Maps Via Integration of Single-Cell RNA-Sequencing and Lineage Tracing: Integrating transgenic lineage tracing and single-cell RNA-sequencing is a robust approach for mapping developmental lineage trajectories and cell fate changes.

Authors:  Russell B Fletcher; Diya Das; John Ngai
Journal:  Bioessays       Date:  2018-06-26       Impact factor: 4.345

9.  Lineage Plasticity in Cancer Progression and Treatment.

Authors:  Clémentine Le Magnen; Michael M Shen; Cory Abate-Shen
Journal:  Annu Rev Cancer Biol       Date:  2017-12-01

10.  Large-scale reconstruction of cell lineages using single-cell readout of transcriptomes and CRISPR-Cas9 barcodes by scGESTALT.

Authors:  Bushra Raj; James A Gagnon; Alexander F Schier
Journal:  Nat Protoc       Date:  2018-11       Impact factor: 13.491

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