A single-cell time-lapse of mouse prenatal development from gastrula to birth

被引:21
作者
Qiu, Chengxiang [1 ]
Martin, Beth K. [1 ]
Welsh, Ian C. [2 ]
Daza, Riza M. [1 ]
Le, Truc-Mai [3 ]
Huang, Xingfan [1 ,4 ]
Nichols, Eva K. [1 ]
Taylor, Megan L. [1 ,3 ]
Fulton, Olivia [1 ]
O'Day, Diana R. [3 ]
Gomes, Anne Roshella [3 ]
Ilcisin, Saskia [3 ]
Srivatsan, Sanjay [1 ,5 ]
Deng, Xinxian [6 ]
Disteche, Christine M. [6 ,7 ]
Noble, William Stafford [1 ,4 ]
Hamazaki, Nobuhiko [1 ,8 ]
Moens, Cecilia B. [9 ]
Kimelman, David [1 ,10 ]
Cao, Junyue [11 ]
Schier, Alexander F. [12 ,13 ]
Spielmann, Malte [14 ,15 ,16 ,17 ]
Murray, Stephen A. [2 ]
Trapnell, Cole [1 ,3 ,13 ,18 ]
Shendure, Jay [1 ,3 ,8 ,13 ,18 ]
机构
[1] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[2] Jackson Lab, Bar Harbor, ME USA
[3] Brotman Baty Inst Precis Med, Seattle, WA 98195 USA
[4] Univ Washington, Paul G Allen Sch Comp Sci & Engn, Seattle, WA USA
[5] Univ Washington, Med Scientist Training Program, Seattle, WA USA
[6] Univ Washington, Dept Lab Med & Pathol, Seattle, WA USA
[7] Univ Washington, Dept Med, Seattle, WA USA
[8] Howard Hughes Med Inst, Seattle, WA 98195 USA
[9] Fred Hutchinson Canc Ctr, Div Basic Sci, Seattle, WA USA
[10] Univ Washington, Dept Biochem, Seattle, WA USA
[11] Rockefeller Univ, Lab Single Cell Genom & Populat Dynam, New York, NY USA
[12] Univ Basel, Biozentrum, Basel, Switzerland
[13] Allen Discovery Ctr Cell Lineage Tracing, Seattle, WA 98109 USA
[14] Max Planck Inst Mol Genet, Berlin, Germany
[15] Univ Lubeck, Univ Hosp Schleswig Holstein, Inst Human Genet, Kiel, Germany
[16] Univ Kiel, Kiel, Germany
[17] DZHK German Ctr Cardiovasc Res, Partner Site Hamburg, Kiel, Germany
[18] Seattle Hub Synthet Biol, Seattle, WA 98109 USA
基金
美国国家卫生研究院;
关键词
REGULATORY NETWORK; SPECIFICATION; MORPHOGENESIS; LINEAGE; HETEROGENEITY; POPULATION; EXPRESSION; ORGANIZER; DYNAMICS; NEMATODE;
D O I
10.1038/s41586-024-07069-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The house mouse (Mus musculus) is an exceptional model system, combining genetic tractability with close evolutionary affinity to humans1,2. Mouse gestation lasts only 3 weeks, during which the genome orchestrates the astonishing transformation of a single-cell zygote into a free-living pup composed of more than 500 million cells. Here, to establish a global framework for exploring mammalian development, we applied optimized single-cell combinatorial indexing3 to profile the transcriptional states of 12.4 million nuclei from 83 embryos, precisely staged at 2- to 6-hour intervals spanning late gastrulation (embryonic day 8) to birth (postnatal day 0). From these data, we annotate hundreds of cell types and explore the ontogenesis of the posterior embryo during somitogenesis and of kidney, mesenchyme, retina and early neurons. We leverage the temporal resolution and sampling depth of these whole-embryo snapshots, together with published data4-8 from earlier timepoints, to construct a rooted tree of cell-type relationships that spans the entirety of prenatal development, from zygote to birth. Throughout this tree, we systematically nominate genes encoding transcription factors and other proteins as candidate drivers of the in vivo differentiation of hundreds of cell types. Remarkably, the most marked temporal shifts in cell states are observed within one hour of birth and presumably underlie the massive physiological adaptations that must accompany the successful transition of a mammalian fetus to life outside the womb. Single-cell transcriptome profiling of mouse embryos and newborn pups is combined with previously published data to construct a tree of cell-type relationships tracing development from zygote to birth.
引用
收藏
页码:1084 / 1093
页数:39
相关论文
共 50 条
  • [41] Automatic detection of calving events from time-lapse imagery at Tunabreen, Svalbard
    Vallot, Dorothee
    Adinugroho, Sigit
    Strand, Robin
    How, Penelope
    Pettersson, Rickard
    Benn, Douglas, I
    Hulton, Nicholas R. J.
    GEOSCIENTIFIC INSTRUMENTATION METHODS AND DATA SYSTEMS, 2019, 8 (01) : 113 - 127
  • [42] The emergent landscape of the mouse gut endoderm at single-cell resolution
    Nowotschin, Sonja
    Setty, Manu
    Kuo, Ying-Yi
    Liu, Vincent
    Garg, Vidur
    Sharma, Roshan
    Simon, Claire S.
    Saiz, Nestor
    Gardner, Rui
    Boutet, Stephane C.
    Church, Deanna M.
    Hoodless, Pamela A.
    Hadjantonakis, Anna-Katerina
    Pe'er, Dana
    NATURE, 2019, 569 (7756) : 361 - +
  • [43] Mouse Corneal Immune Cell Heterogeneity Revealed by Single-Cell RNA Sequencing
    Yaman, Ebru
    Heyer, Nicole
    de Paiva, Cintia S.
    Stepp, Mary Ann
    Pflugfelder, Stephen C.
    Alam, Jehan
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (12)
  • [44] Single-Cell Reprogramming in Mouse Embryo Development through a Critical Transition State
    Tsuchiya, Masa
    Giuliani, Alessandro
    Yoshikawa, Kenichi
    ENTROPY, 2017, 19 (11):
  • [45] Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy
    Strasser, Michael K.
    Feigelman, Justin
    Theis, Fabian J.
    Marr, Carsten
    BMC SYSTEMS BIOLOGY, 2015, 9
  • [46] Distinct enhancer signatures in the mouse gastrula delineate progressive cell fate continuum during embryo development
    Yang, Xianfa
    Hu, Boqiang
    Liao, Jiaoyang
    Qiao, Yunbo
    Chen, Yingying
    Qian, Yun
    Feng, Su
    Yu, Fang
    Dong, Ji
    Hou, Yu
    Xu, He
    Wang, Ran
    Peng, Guangdun
    Li, Jinsong
    Tang, Fuchou
    Jing, Naihe
    CELL RESEARCH, 2019, 29 (11) : 911 - 926
  • [47] Human Germline Cell Development: from the Perspective of Single-Cell Sequencing
    Wen, Lu
    Tang, Fuchou
    MOLECULAR CELL, 2019, 76 (02) : 320 - 328
  • [48] Single-Cell Sequencing Reveals Heterogeneity Effects of Bisphenol A on Zebrafish Embryonic Development
    Chen, Ling
    Wang, Zhizhi
    Gu, Weiqing
    Zhang, Xu-Xiang
    Ren, Hongqiang
    Wu, Bing
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (15) : 9537 - 9546
  • [49] Time-Lapse Imaging of Neuroblastoma Cells to Determine Cell Fate upon Gene Knockdown
    Batra, Richa
    Harder, Nathalie
    Gogolin, Sina
    Diessl, Nicolle
    Soons, Zita
    Jaeger-Schmidt, Christina
    Lawerenz, Christian
    Eils, Roland
    Rohr, Karl
    Westermann, Frank
    Koenig, Rainer
    PLOS ONE, 2012, 7 (12):
  • [50] Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy
    Dzyubachyk, Oleh
    van Cappellen, Wiggert A.
    Essers, Jeroen
    Niessen, Wiro J.
    Meijering, Erik
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2010, 29 (03) : 852 - 867