遗传2024,Vol.46Issue(10) :760-778.DOI:10.16288/j.yczz.24-153

人类发育细胞蓝图的现状和挑战

Progress and challenges in human developmental cell atlas

阙亦宸 刘清泉 徐一驰
遗传2024,Vol.46Issue(10) :760-778.DOI:10.16288/j.yczz.24-153

人类发育细胞蓝图的现状和挑战

Progress and challenges in human developmental cell atlas

阙亦宸 1刘清泉 1徐一驰1
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作者信息

  • 1. 复旦大学基础医学院,医学系统生物学系和前沿创新中心,上海 200032
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摘要

阐明人类胚胎发育的分子调控机制一直是科学家们努力攻克的重大生物学问题之一.然而,由于人类胚胎样本稀少、样本解剖困难、器官结构复杂等因素,解析人类胚胎发育机制面临重重挑战.近年来,随着单细胞组学技术的迅猛发展,人们可以在中心法则的各个环节,系统地解析细胞分化过程中的动态变化,并在空间维度上进行观测与研究,加快了构建人类发育细胞图谱的进程,最终实现对人类发育的细胞分类体系、命运轨迹和三维动态变化的刻画.本文首先介绍了绘制人类发育细胞图谱所使用的单细胞组学技术,然后总结了胚胎发育图谱的最新进展并提出了该领域目前面临的主要问题和挑战,最后对如何利用人类胚胎发育图谱解决生物学和医学的关键问题进行了探讨,以期为利用单细胞组学技术构建并应用人类发育细胞蓝图提供更好的指导.

Abstract

Illustrating molecular mechanisms of human embryonic development has always been one of the most significant challenges in biology.The scarcity of human embryo samples,the difficulty in dissecting embryo samples,and the complex structures of human organs are the major obstacles in studying human embryogenesis.In recent years,with the rapid advancement of single-cell technology,humans can systematically analyze the dynamic changes in differentiation at various stages of the central dogma and achieve observation and research with spatial information.This has accelerated the progress in constructing a human developmental cell atlas,ultimately allowing us to depict the cell ontology,fate trajectories,and three-dimensional dynamic changes of human development.In this review,we first introduce the single-cell technologies used to construct the atlas,then summarize the latest progress in human developmental cell atlas,followed by identifying the main problems and challenges in this field so far.Finally,we discuss how to utilize the human developmental cell atlas to address key biological and medical issues.This review provides guidance for the optimal use of single-cell omics technology in constructing and applying a human developmental cell atlas.

关键词

人类胚胎发育/单细胞组学/细胞图谱

Key words

human embryogenesis/single-cell omics/cell atlas

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基金项目

国家自然科学基金(23DAA01060)

上海市浦江人才计划(23PJ1408900)

复旦大学智能专项()

出版年

2024
遗传
中国遗传学会 中国科学院遗传与发育生物学研究所

遗传

CSTPCD北大核心
影响因子:1.082
ISSN:0253-9772
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