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Morphological diversity of single neurons in molecularly defined cell types.
Peng, Hanchuan; Xie, Peng; Liu, Lijuan; Kuang, Xiuli; Wang, Yimin; Qu, Lei; Gong, Hui; Jiang, Shengdian; Li, Anan; Ruan, Zongcai; Ding, Liya; Yao, Zizhen; Chen, Chao; Chen, Mengya; Daigle, Tanya L; Dalley, Rachel; Ding, Zhangcan; Duan, Yanjun; Feiner, Aaron; He, Ping; Hill, Chris; Hirokawa, Karla E; Hong, Guodong; Huang, Lei; Kebede, Sara; Kuo, Hsien-Chi; Larsen, Rachael; Lesnar, Phil; Li, Longfei; Li, Qi; Li, Xiangning; Li, Yaoyao; Li, Yuanyuan; Liu, An; Lu, Donghuan; Mok, Stephanie; Ng, Lydia; Nguyen, Thuc Nghi; Ouyang, Qiang; Pan, Jintao; Shen, Elise; Song, Yuanyuan; Sunkin, Susan M; Tasic, Bosiljka; Veldman, Matthew B; Wakeman, Wayne; Wan, Wan; Wang, Peng; Wang, Quanxin; Wang, Tao.
Afiliación
  • Peng H; Allen Institute for Brain Science, Seattle, WA, USA. h@braintell.org.
  • Xie P; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China. h@braintell.org.
  • Liu L; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Kuang X; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Wang Y; Ministry of Education Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing, China.
  • Qu L; School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, China.
  • Gong H; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Jiang S; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Li A; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Ruan Z; Key Laboratory of Intelligent Computation and Signal Processing, Ministry of Education, Anhui University, Hefei, China.
  • Ding L; Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
  • Yao Z; HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou, China.
  • Chen C; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Chen M; Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
  • Daigle TL; HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou, China.
  • Dalley R; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Ding Z; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Duan Y; Allen Institute for Brain Science, Seattle, WA, USA.
  • Feiner A; School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, China.
  • He P; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Hill C; Allen Institute for Brain Science, Seattle, WA, USA.
  • Hirokawa KE; Allen Institute for Brain Science, Seattle, WA, USA.
  • Hong G; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Huang L; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Kebede S; Allen Institute for Brain Science, Seattle, WA, USA.
  • Kuo HC; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Larsen R; Allen Institute for Brain Science, Seattle, WA, USA.
  • Lesnar P; Allen Institute for Brain Science, Seattle, WA, USA.
  • Li L; Cajal Neuroscience, Seattle, WA, USA.
  • Li Q; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Li X; Ministry of Education Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing, China.
  • Li Y; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Li Y; Allen Institute for Brain Science, Seattle, WA, USA.
  • Liu A; Allen Institute for Brain Science, Seattle, WA, USA.
  • Lu D; Allen Institute for Brain Science, Seattle, WA, USA.
  • Mok S; Allen Institute for Brain Science, Seattle, WA, USA.
  • Ng L; Key Laboratory of Intelligent Computation and Signal Processing, Ministry of Education, Anhui University, Hefei, China.
  • Nguyen TN; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Ouyang Q; Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China.
  • Pan J; HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou, China.
  • Shen E; School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, China.
  • Song Y; Key Laboratory of Intelligent Computation and Signal Processing, Ministry of Education, Anhui University, Hefei, China.
  • Sunkin SM; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
  • Tasic B; Ministry of Education Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing, China.
  • Veldman MB; Tencent Jarvis Lab, Shenzhen, China.
  • Wakeman W; Allen Institute for Brain Science, Seattle, WA, USA.
  • Wan W; Allen Institute for Brain Science, Seattle, WA, USA.
  • Wang P; Allen Institute for Brain Science, Seattle, WA, USA.
  • Wang Q; Cajal Neuroscience, Seattle, WA, USA.
  • Wang T; SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Nature ; 598(7879): 174-181, 2021 10.
Article en En | MEDLINE | ID: mdl-34616072
ABSTRACT
Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types1,2, yet our knowledge of its diversity remains limited. Here, to systematically examine complete single-neuron morphologies on a brain-wide scale, we established a pipeline encompassing sparse labelling, whole-brain imaging, reconstruction, registration and analysis. We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities. Extensive projectional diversity was found within each of these major types, on the basis of which some types were clustered into more refined subtypes. This diversity follows a set of generalizable principles that govern long-range axonal projections at different levels, including molecular correspondence, divergent or convergent projection, axon termination pattern, regional specificity, topography, and individual cell variability. Although clear concordance with transcriptomic profiles is evident at the level of major projection type, fine-grained morphological diversity often does not readily correlate with transcriptomic subtypes derived from unsupervised clustering, highlighting the need for single-cell cross-modality studies. Overall, our study demonstrates the crucial need for quantitative description of complete single-cell anatomy in cell-type classification, as single-cell morphological diversity reveals a plethora of ways in which different cell types and their individual members may contribute to the configuration and function of their respective circuits.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Forma de la Célula / Análisis de la Célula Individual / Neuronas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nature Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Forma de la Célula / Análisis de la Célula Individual / Neuronas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nature Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos