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Nearest neighbours reveal fast and slow components of motor learning 期刊论文
NATURE, 2020, 577 (7791) : 526-+
作者:  Kollmorgen, Sepp;  Hahnloser, Richard H. R.;  Mante, Valerio
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/03

A new method for analysing change in high-dimensional data is based on nearest-neighbour statistics and is applied here to song dynamics during vocal learning in zebra finches, but could potentially be applied to other biological and artificial behaviours.


Changes in behaviour resulting from environmental influences, development and learning(1-5) are commonly quantified on the basis of a few hand-picked features(2-4,6,7) (for example, the average pitch of acoustic vocalizations(3)), assuming discrete classes of behaviours (such as distinct vocal syllables)(2,3,8-10). However, such methods generalize poorly across different behaviours and model systems and may miss important components of change. Here we present a more-general account of behavioural change that is based on nearest-neighbour statistics(11-13), and apply it to song development in a songbird, the zebra finch(3). First, we introduce the concept of '  repertoire dating'  , whereby each rendition of a behaviour (for example, each vocalization) is assigned a repertoire time, reflecting when similar renditions were typical in the behavioural repertoire. Repertoire time isolates the components of vocal variability that are congruent with long-term changes due to vocal learning and development, and stratifies the behavioural repertoire into '  regressions'  , '  anticipations'  and '  typical renditions'  . Second, we obtain a holistic, yet low-dimensional, description of vocal change in terms of a stratified '  behavioural trajectory'  , revealing numerous previously unrecognized components of behavioural change on fast and slow timescales, as well as distinct patterns of overnight consolidation(1,2,4,14,15) across the behavioral repertoire. We find that diurnal changes in regressions undergo only weak consolidation, whereas anticipations and typical renditions consolidate fully. Because of its generality, our nonparametric description of how behaviour evolves relative to itself-rather than to a potentially arbitrary, experimenter-defined goal(2,3,14,16)-appears well suited for comparing learning and change across behaviours and species(17,18), as well as biological and artificial systems(5).


  
Decoding the development of the human hippocampus 期刊论文
NATURE, 2020, 577 (7791) : 531-+
作者:  Zhong, Suijuan;  Ding, Wenyu;  Sun, Le;  Lu, Yufeng;  Dong, Hao;  Fan, Xiaoying;  Liu, Zeyuan;  Chen, Ruiguo;  Zhang, Shu;  Ma, Qiang;  Tang, Fuchou;  Wu, Qian;  Wang, Xiaoqun
收藏  |  浏览/下载:19/0  |  提交时间:2020/07/03

The hippocampus is an important part of the limbic system in the human brain that has essential roles in spatial navigation and the consolidation of information from short-term memory to long-term memory(1,2). Here we use single-cell RNA sequencing and assay for transposase-accessible chromatin using sequencing (ATAC-seq) analysis to illustrate the cell types, cell linage, molecular features and transcriptional regulation of the developing human hippocampus. Using the transcriptomes of 30,416 cells from the human hippocampus at gestational weeks 16-27, we identify 47 cell subtypes and their developmental trajectories. We also identify the migrating paths and cell lineages of PAX6(+) and HOPX+ hippocampal progenitors, and regional markers of CA1, CA3 and dentate gyrus neurons. Multiomic data have uncovered transcriptional regulatory networks of the dentate gyrus marker PROX1. We also illustrate spatially specific gene expression in the developing human prefrontal cortex and hippocampus. The molecular features of the human hippocampus at gestational weeks 16-20 are similar to those of the mouse at postnatal days 0-5 and reveal gene expression differences between the two species. Transient expression of the primate-specific gene NBPF1 leads to a marked increase in PROX1(+) cells in the mouse hippocampus. These data provides a blueprint for understanding human hippocampal development and a tool for investigating related diseases.


Single-cell RNA sequencing is used to catalogue and explore the developmental trajectories of more than 30,000 cells in the developing human hippocampus.


  
Allelic reprogramming of 3D chromatin architecture during early mammalian development 期刊论文
NATURE, 2017, 547 (7662) : 232-+
作者:  Du, Zhenhai;  Zheng, Hui;  Huang, Bo;  Ma, Rui;  Wu, Jingyi;  Zhang, Xianglin;  He, Jing;  Xiang, Yunlong;  Wang, Qiujun;  Li, Yuanyuan;  Ma, Jing;  Zhang, Xu;  Zhang, Ke;  Wang, Yang;  Zhang, Michael Q.;  Gao, Juntao;  Dixon, Jesse R.;  Wang, Xiaowo;  Zeng, Jianyang;  Xie, Wei
收藏  |  浏览/下载:11/0  |  提交时间:2019/11/27