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

dc.contributor.authorChen, Ao
dc.contributor.authorLiao, Sha
dc.contributor.authorCheng, Mengnan
dc.contributor.authorMa, Kailong
dc.contributor.authorWu, Liang
dc.contributor.authorLai, Yiwei
dc.contributor.authorQiu, Xiaojie
dc.contributor.authorYang, Jin
dc.contributor.authorXu, Jiangshan
dc.contributor.authorHao, Shijie
dc.contributor.authorWang, Xin
dc.contributor.authorLu, Huifang
dc.contributor.authorChen, Xi
dc.contributor.authorLiu, Xing
dc.contributor.authorHuang, Xin
dc.contributor.authorLi, Zhao
dc.contributor.authorHong, Yan
dc.contributor.authorJiang, Yujia
dc.contributor.authorPeng, Jian
dc.contributor.authorLiu, Shuai
dc.contributor.authorShen, Mengzhe
dc.contributor.authorLiu, Chuanyu
dc.contributor.authorLi, Quanshui
dc.contributor.authorYuan, Yue
dc.contributor.authorWei, Xiaoyu
dc.contributor.authorZheng, Huiwen
dc.contributor.authorFeng, Weimin
dc.contributor.authorWang, Zhifeng
dc.contributor.authorLiu, Yang
dc.contributor.authorWang, Zhaohui
dc.contributor.authorYang, Yunzhi
dc.contributor.authorXiang, Haitao
dc.contributor.authorHan, Lei
dc.contributor.authorQin, Baoming
dc.contributor.authorGuo, Pengcheng
dc.contributor.authorLai, Guangyao
dc.contributor.authorMuñoz-Cánoves, Pura
dc.contributor.authorMaxwell, Patrick H
dc.contributor.authorThiery, Jean Paul
dc.contributor.authorWu, Qing-Feng
dc.contributor.authorZhao, Fuxiang
dc.contributor.authorChen, Bichao
dc.contributor.authorLi, Mei
dc.contributor.authorDai, Xi
dc.contributor.authorWang, Shuai
dc.contributor.authorKuang, Haoyan
dc.contributor.authorHui, Junhou
dc.contributor.authorWang, Liqun
dc.contributor.authorFei, Ji-Feng
dc.contributor.authorWang, Ou
dc.contributor.authorWei, Xiaofeng
dc.contributor.authorLu, Haorong
dc.contributor.authorWang, Bo
dc.contributor.authorLiu, Shiping
dc.contributor.authorGu, Ying
dc.contributor.authorNi, Ming
dc.contributor.authorZhang, Wenwei
dc.contributor.authorMu, Feng
dc.contributor.authorYin, Ye
dc.contributor.authorYang, Huanming
dc.contributor.authorLisby, Michael
dc.contributor.authorCornall, Richard J
dc.contributor.authorMulder, Jan
dc.contributor.authorUhlén, Mathias
dc.contributor.authorEsteban, Miguel A
dc.contributor.authorLi, Yuxiang
dc.contributor.authorLiu, Longqi
dc.contributor.authorXu, Xun
dc.contributor.authorWang, Jian
dc.date.accessioned2023-04-03T11:48:26Z
dc.date.available2023-04-03T11:48:26Z
dc.date.issued2022-05-12
dc.description.abstractSpatially 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.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThis work is part of the ‘‘SpatioTemporal Omics Consortium’’ (STOC) paper package. A list of STOC members is available at: http://sto-consortium.org. We would like to thank the MOTIC China Group, Rongqin Ke (Huaqiao University, Xiamen, China), Jiazuan Ni (Shenzhen University, Shenzhen, China), Wei Huang (Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China), and Jonathan S. Weissman (Whitehead Institute, Boston, USA) for their help. This work was supported by the grant of Top Ten Foundamental Research Institutes of Shenzhen, the Shenzhen Key Laboratory of Single-Cell Omics (ZDSYS20190902093613831), and the Guangdong Provincial Key Laboratory of Genome Read and Write (2017B030301011); Longqi Liu was supported by the National Natural Science Foundation of China (31900466) and Miguel A. Esteban’s laboratory at the Guangzhou Institutes of Biomedicine and Health by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA16030502), National Natural Science Foundation of China (92068106), and the Guangdong Basic and Applied Basic Research Foundation (2021B1515120075).es_ES
dc.format.number10es_ES
dc.format.page1777es_ES
dc.format.volume185es_ES
dc.identifier.citationCell. 2022 May 12;185(10):1777-1792.e21es_ES
dc.identifier.doi10.1016/j.cell.2022.04.003es_ES
dc.identifier.e-issn1097-4172es_ES
dc.identifier.journalCelles_ES
dc.identifier.pubmedID35512705es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/15734
dc.language.isoenges_ES
dc.publisherCell Presses_ES
dc.repisalud.institucionCNICes_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Laboratorio de Regeneración Tisulares_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshOrganogenesises_ES
dc.subject.meshTranscriptomees_ES
dc.subject.meshAnimalses_ES
dc.subject.meshDNAes_ES
dc.subject.meshEmbryo, Mammalianes_ES
dc.subject.meshFemalees_ES
dc.subject.meshGene Expression Profilinges_ES
dc.subject.meshMammalses_ES
dc.subject.meshMicees_ES
dc.subject.meshPregnancyes_ES
dc.subject.meshSequence Analysis, RNAes_ES
dc.subject.meshSingle-Cell Analysises_ES
dc.titleSpatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays.es_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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