Literature DB >> 35512705

Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays.

Ao Chen1, Sha Liao2, Mengnan Cheng3, Kailong Ma2, Liang Wu4, Yiwei Lai5, Xiaojie Qiu6, Jin Yang7, Jiangshan Xu3, Shijie Hao3, Xin Wang2, Huifang Lu2, Xi Chen2, Xing Liu2, Xin Huang3, Zhao Li2, Yan Hong2, Yujia Jiang8, Jian Peng2, Shuai Liu2, Mengzhe Shen2, Chuanyu Liu9, Quanshui Li2, Yue Yuan2, Xiaoyu Wei2, Huiwen Zheng8, Weimin Feng3, Zhifeng Wang10, Yang Liu2, Zhaohui Wang2, Yunzhi Yang8, Haitao Xiang3, Lei Han2, Baoming Qin11, Pengcheng Guo11, Guangyao Lai11, Pura Muñoz-Cánoves12, Patrick H Maxwell13, Jean Paul Thiery14, Qing-Feng Wu15, Fuxiang Zhao2, Bichao Chen2, Mei Li2, Xi Dai3, Shuai Wang3, Haoyan Kuang2, Junhou Hui2, Liqun Wang16, Ji-Feng Fei16, Ou Wang2, Xiaofeng Wei17, Haorong Lu17, Bo Wang17, Shiping Liu10, Ying Gu18, Ming Ni7, Wenwei Zhang19, Feng Mu7, Ye Yin20, Huanming Yang21, Michael Lisby22, Richard J Cornall23, Jan Mulder24, Mathias Uhlén24, Miguel A Esteban25, Yuxiang Li26, Longqi Liu27, Xun Xu28, Jian Wang29.   

Abstract

Spatially resolved transcriptomic technologies are promising tools to study complex biological processes such as mammalian embryogenesis. However, the imbalance between resolution, gene capture, and field of view of current methodologies precludes their systematic application to analyze relatively large and three-dimensional mid- and late-gestation embryos. Here, we combined DNA nanoball (DNB)-patterned arrays and in situ RNA capture to create spatial enhanced resolution omics-sequencing (Stereo-seq). We applied Stereo-seq to generate the mouse organogenesis spatiotemporal transcriptomic atlas (MOSTA), which maps with single-cell resolution and high sensitivity the kinetics and directionality of transcriptional variation during mouse organogenesis. We used this information to gain insight into the molecular basis of spatial cell heterogeneity and cell fate specification in developing tissues such as the dorsal midbrain. Our panoramic atlas will facilitate in-depth investigation of longstanding questions concerning normal and abnormal mammalian development.
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  brain; cell atlas; cell differentiation; cell lineages; development; developmental diseases; mouse organogenesis; progenitors; single-cell; spatial transcriptomics

Mesh:

Substances:

Year:  2022        PMID: 35512705     DOI: 10.1016/j.cell.2022.04.003

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  26 in total

1.  CNR1 antagonism attenuates cannabis-induced atherosclerosis.

Authors:  Karina Huynh
Journal:  Nat Rev Cardiol       Date:  2022-07       Impact factor: 32.419

2.  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

3.  Chaperoning solid aggregates for autophagy.

Authors:  Paulina Strzyz
Journal:  Nat Rev Mol Cell Biol       Date:  2022-06       Impact factor: 94.444

Review 4.  What is a cell type and how to define it?

Authors:  Hongkui Zeng
Journal:  Cell       Date:  2022-07-21       Impact factor: 66.850

Review 5.  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 6.  The expanding vistas of spatial transcriptomics.

Authors:  Luyi Tian; Fei Chen; Evan Z Macosko
Journal:  Nat Biotechnol       Date:  2022-10-03       Impact factor: 68.164

7.  Light-Seq: light-directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing.

Authors:  Jocelyn Y Kishi; Ninning Liu; Emma R West; Kuanwei Sheng; Jack J Jordanides; Matthew Serrata; Constance L Cepko; Sinem K Saka; Peng Yin
Journal:  Nat Methods       Date:  2022-10-10       Impact factor: 47.990

8.  A cellular hierarchy in melanoma uncouples growth and metastasis.

Authors:  Ignacio Bordeu; Joanna Pozniak; Ada Nowosad; Panagiotis Karras; Cecilia Pazzi; Nina Van Raemdonck; Ewout Landeloos; Yannick Van Herck; Dennis Pedri; Greet Bervoets; Samira Makhzami; Jia Hui Khoo; Benjamin Pavie; Jochen Lamote; Oskar Marin-Bejar; Michael Dewaele; Han Liang; Xingju Zhang; Yichao Hua; Jasper Wouters; Robin Browaeys; Gabriele Bergers; Yvan Saeys; Francesca Bosisio; Joost van den Oord; Diether Lambrechts; Anil K Rustgi; Oliver Bechter; Cedric Blanpain; Benjamin D Simons; Florian Rambow; Jean-Christophe Marine
Journal:  Nature       Date:  2022-09-21       Impact factor: 69.504

Review 9.  Emerging artificial intelligence applications in Spatial Transcriptomics analysis.

Authors:  Yijun Li; Stefan Stanojevic; Lana X Garmire
Journal:  Comput Struct Biotechnol J       Date:  2022-06-02       Impact factor: 6.155

Review 10.  Transcriptome-scale methods for uncovering subcellular RNA localization mechanisms.

Authors:  J Matthew Taliaferro
Journal:  Biochim Biophys Acta Mol Cell Res       Date:  2022-01-06       Impact factor: 5.011

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