Literature DB >> 29700225

Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.

Jeffrey A Farrell1, Yiqun Wang1, Samantha J Riesenfeld2, Karthik Shekhar2, Aviv Regev3,4, Alexander F Schier5,2,6,7,8,9.   

Abstract

During embryogenesis, cells acquire distinct fates by transitioning through transcriptional states. To uncover these transcriptional trajectories during zebrafish embryogenesis, we sequenced 38,731 cells and developed URD, a simulated diffusion-based computational reconstruction method. URD identified the trajectories of 25 cell types through early somitogenesis, gene expression along them, and their spatial origin in the blastula. Analysis of Nodal signaling mutants revealed that their transcriptomes were canalized into a subset of wild-type transcriptional trajectories. Some wild-type developmental branch points contained cells that express genes characteristic of multiple fates. These cells appeared to trans-specify from one fate to another. These findings reconstruct the transcriptional trajectories of a vertebrate embryo, highlight the concurrent canalization and plasticity of embryonic specification, and provide a framework with which to reconstruct complex developmental trees from single-cell transcriptomes.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2018        PMID: 29700225      PMCID: PMC6247916          DOI: 10.1126/science.aar3131

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  45 in total

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Review 2.  Maps of random walks on complex networks reveal community structure.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-23       Impact factor: 11.205

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Authors:  M R Gardiner; M M Gongora; S M Grimmond; A C Perkins
Journal:  Mech Dev       Date:  2007-06-23       Impact factor: 1.882

4.  Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

Authors:  Sean C Bendall; Kara L Davis; El-Ad David Amir; Michelle D Tadmor; Erin F Simonds; Tiffany J Chen; Daniel K Shenfeld; Garry P Nolan; Dana Pe'er
Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

5.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

6.  casanova encodes a novel Sox-related protein necessary and sufficient for early endoderm formation in zebrafish.

Authors:  Y Kikuchi; A Agathon; J Alexander; C Thisse; S Waldron; D Yelon; B Thisse; D Y Stainier
Journal:  Genes Dev       Date:  2001-06-15       Impact factor: 11.361

7.  Whole-organism lineage tracing by combinatorial and cumulative genome editing.

Authors:  Aaron McKenna; Gregory M Findlay; James A Gagnon; Marshall S Horwitz; Alexander F Schier; Jay Shendure
Journal:  Science       Date:  2016-05-26       Impact factor: 47.728

8.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

9.  Origin and organization of the zebrafish fate map.

Authors:  C B Kimmel; R M Warga; T F Schilling
Journal:  Development       Date:  1990-04       Impact factor: 6.868

10.  Wishbone identifies bifurcating developmental trajectories from single-cell data.

Authors:  Manu Setty; Michelle D Tadmor; Shlomit Reich-Zeliger; Omer Angel; Tomer Meir Salame; Pooja Kathail; Kristy Choi; Sean Bendall; Nir Friedman; Dana Pe'er
Journal:  Nat Biotechnol       Date:  2016-05-02       Impact factor: 54.908

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  185 in total

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Journal:  Curr Biol       Date:  2018-11-29       Impact factor: 10.834

2.  Single-cell transcriptome profiling of the Ciona larval brain.

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Authors:  Katharine N Schulz; Melissa M Harrison
Journal:  Nat Rev Genet       Date:  2019-04       Impact factor: 53.242

Review 4.  A periodic table of cell types.

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Journal:  Development       Date:  2019-06-27       Impact factor: 6.868

Review 5.  Revolutionizing immunology with single-cell RNA sequencing.

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Journal:  Cell Mol Immunol       Date:  2019-02-22       Impact factor: 11.530

6.  Defining developmental diversification of diencephalon neurons through single cell gene expression profiling.

Authors:  Qiuxia Guo; James Y H Li
Journal:  Development       Date:  2019-04-01       Impact factor: 6.868

7.  Continuous-state HMMs for modeling time-series single-cell RNA-Seq data.

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Journal:  Bioinformatics       Date:  2019-11-01       Impact factor: 6.937

8.  Wnt signaling regulates neural plate patterning in distinct temporal phases with dynamic transcriptional outputs.

Authors:  David G Green; Amy E Whitener; Saurav Mohanty; Brandon Mistretta; Preethi Gunaratne; Alvin T Yeh; Arne C Lekven
Journal:  Dev Biol       Date:  2020-03-31       Impact factor: 3.582

9.  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

10.  An improved zebrafish transcriptome annotation for sensitive and comprehensive detection of cell type-specific genes.

Authors:  Nathan D Lawson; Rui Li; Masahiro Shin; Ann Grosse; Onur Yukselen; Oliver A Stone; Alper Kucukural; Lihua Zhu
Journal:  Elife       Date:  2020-08-24       Impact factor: 8.140

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