Literature DB >> 28860209

The Drosophila embryo at single-cell transcriptome resolution.

Nikos Karaiskos1, Philipp Wahle2, Jonathan Alles1, Anastasiya Boltengagen1, Salah Ayoub1, Claudia Kipar2, Christine Kocks1, Nikolaus Rajewsky3, Robert P Zinzen4.   

Abstract

By the onset of morphogenesis, Drosophila embryos consist of about 6000 cells that express distinct gene combinations. Here, we used single-cell sequencing of precisely staged embryos and devised DistMap, a computational mapping strategy to reconstruct the embryo and to predict spatial gene expression approaching single-cell resolution. We produced a virtual embryo with about 8000 expressed genes per cell. Our interactive Drosophila Virtual Expression eXplorer (DVEX) database generates three-dimensional virtual in situ hybridizations and computes gene expression gradients. We used DVEX to uncover patterned expression of transcription factors and long noncoding RNAs, as well as signaling pathway components. Spatial regulation of Hippo signaling during early embryogenesis suggests a mechanism for establishing asynchronous cell proliferation. Our approach is suitable to generate transcriptomic blueprints for other complex tissues.
Copyright © 2017 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:  2017        PMID: 28860209     DOI: 10.1126/science.aan3235

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


  129 in total

1.  Self-Reporting Transposons Enable Simultaneous Readout of Gene Expression and Transcription Factor Binding in Single Cells.

Authors:  Arnav Moudgil; Michael N Wilkinson; Xuhua Chen; June He; Alexander J Cammack; Michael J Vasek; Tomás Lagunas; Zongtai Qi; Matthew A Lalli; Chuner Guo; Samantha A Morris; Joseph D Dougherty; Robi D Mitra
Journal:  Cell       Date:  2020-07-24       Impact factor: 41.582

2.  The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution.

Authors:  James A Briggs; Caleb Weinreb; Daniel E Wagner; Sean Megason; Leonid Peshkin; Marc W Kirschner; Allon M Klein
Journal:  Science       Date:  2018-04-26       Impact factor: 47.728

3.  Extraction of Hemocytes from Drosophila melanogaster Larvae for Microbial Infection and Analysis.

Authors:  Aoi Hiroyasu; David C DeWitt; Alan G Goodman
Journal:  J Vis Exp       Date:  2018-05-24       Impact factor: 1.355

4.  Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease.

Authors:  Jihwan Park; Rojesh Shrestha; Chengxiang Qiu; Ayano Kondo; Shizheng Huang; Max Werth; Mingyao Li; Jonathan Barasch; Katalin Suszták
Journal:  Science       Date:  2018-04-05       Impact factor: 47.728

5.  A Single-Cell Transcriptome Atlas of the Mouse Glomerulus.

Authors:  Nikos Karaiskos; Mahdieh Rahmatollahi; Anastasiya Boltengagen; Haiyue Liu; Martin Hoehne; Markus Rinschen; Bernhard Schermer; Thomas Benzing; Nikolaus Rajewsky; Christine Kocks; Martin Kann; Roman-Ulrich Müller
Journal:  J Am Soc Nephrol       Date:  2018-05-24       Impact factor: 10.121

6.  Comprehensive Integration of Single-Cell Data.

Authors:  Tim Stuart; Andrew Butler; Paul Hoffman; Christoph Hafemeister; Efthymia Papalexi; William M Mauck; Yuhan Hao; Marlon Stoeckius; Peter Smibert; Rahul Satija
Journal:  Cell       Date:  2019-06-06       Impact factor: 41.582

Review 7.  Single-Cell RNA Sequencing: A New Window into Cell Scale Dynamics.

Authors:  Sabyasachi Dasgupta; Gary D Bader; Sidhartha Goyal
Journal:  Biophys J       Date:  2018-07-11       Impact factor: 4.033

Review 8.  Power in Numbers: Single-Cell RNA-Seq Strategies to Dissect Complex Tissues.

Authors:  Kenneth D Birnbaum
Journal:  Annu Rev Genet       Date:  2018-09-07       Impact factor: 16.830

9.  A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility.

Authors:  Darren A Cusanovich; Andrew J Hill; Delasa Aghamirzaie; Riza M Daza; Hannah A Pliner; Joel B Berletch; Galina N Filippova; Xingfan Huang; Lena Christiansen; William S DeWitt; Choli Lee; Samuel G Regalado; David F Read; Frank J Steemers; Christine M Disteche; Cole Trapnell; Jay Shendure
Journal:  Cell       Date:  2018-08-02       Impact factor: 41.582

10.  Phenotypic Convergence: Distinct Transcription Factors Regulate Common Terminal Features.

Authors:  Nikolaos Konstantinides; Katarina Kapuralin; Chaimaa Fadil; Luendreo Barboza; Rahul Satija; Claude Desplan
Journal:  Cell       Date:  2018-06-18       Impact factor: 41.582

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