Literature DB >> 35512701

Spatiotemporal mapping of gene expression landscapes and developmental trajectories during zebrafish embryogenesis.

Chang Liu1, Rui Li1, Young Li1, Xiumei Lin2, Kaichen Zhao3, Qun Liu4, Shuowen Wang5, Xueqian Yang3, Xuyang Shi2, Yuting Ma6, Chenyu Pei3, Hui Wang3, Wendai Bao3, Junhou Hui7, Tao Yang8, Zhicheng Xu8, Tingting Lai8, Michael Arman Berberoglu3, Sunil Kumar Sahu7, Miguel A Esteban9, Kailong Ma7, Guangyi Fan4, Yuxiang Li7, Shiping Liu1, Ao Chen10, Xun Xu11, Zhiqiang Dong12, Longqi Liu13.   

Abstract

A major challenge in understanding vertebrate embryogenesis is the lack of topographical transcriptomic information that can help correlate microenvironmental cues within the hierarchy of cell-fate decisions. Here, we employed Stereo-seq to profile 91 zebrafish embryo sections covering six critical time points during the first 24 h of development, obtaining a total of 152,977 spots at a resolution of 10 × 10 × 15 μm3 (close to cellular size) with spatial coordinates. Meanwhile, we identified spatial modules and co-varying genes for specific tissue organizations. By performing the integrated analysis of the Stereo-seq and scRNA-seq data from each time point, we reconstructed the spatially resolved developmental trajectories of cell-fate transitions and molecular changes during zebrafish embryogenesis. We further investigated the spatial distribution of ligand-receptor pairs and identified potentially important interactions during zebrafish embryo development. Our study constitutes a fundamental reference for further studies aiming to understand vertebrate development.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Stereo-seq; embryonic development; scRNA-seq; spatial transcriptomics; zebrafish

Mesh:

Year:  2022        PMID: 35512701     DOI: 10.1016/j.devcel.2022.04.009

Source DB:  PubMed          Journal:  Dev Cell        ISSN: 1534-5807            Impact factor:   12.270


  3 in total

1.  How to make spatial maps of gene activity - down to the cellular level.

Authors:  Michael Eisenstein
Journal:  Nature       Date:  2022-06       Impact factor: 49.962

Review 2.  The emerging landscape of spatial profiling technologies.

Authors:  Jeffrey R Moffitt; Emma Lundberg; Holger Heyn
Journal:  Nat Rev Genet       Date:  2022-07-20       Impact factor: 59.581

Review 3.  Computational solutions for spatial transcriptomics.

Authors:  Iivari Kleino; Paulina Frolovaitė; Tomi Suomi; Laura L Elo
Journal:  Comput Struct Biotechnol J       Date:  2022-09-01       Impact factor: 6.155

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.