Charting human organogenesis across the Carnegie stages from a whole-embryo perspective.

IF 5 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES GigaScience Pub Date : 2026-01-21 DOI:10.1093/gigascience/giag063
Jiexue Pan, Zhongliang Lin, Gaochen Zhang, Hefeng Huang, Guolian Ding
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Abstract

The Carnegie stages represent a critical window in human development, during which organ primordia emerge, tissue identities diversify, and many congenital disorders are thought to originate. However, this period has remained difficult to study at the whole-embryo scale. Recent advances in spatial and single-cell genomics are beginning to close this gap. This article discusses the significance of the spatiotemporal transcriptomic atlas of post-gastrulation human embryos spanning Carnegie stages 12-23, which provides one of the most comprehensive dynamic molecular maps of this developmental window to date. Beyond its value as a reference resource, this atlas offers biological insights into early cardiac patterning, brain regionalization, the timing of inhibitory and excitatory neurogenesis, tissue-specific susceptibility to prenatal infection, and spatially resolved allelic imbalance. Equally importantly, it illustrates a broader shift in the field from fragmented organ-specific datasets toward integrated developmental frameworks that can connect embryology, human genetics, and disease mechanisms. Future progress will depend not only on generating more data but also on harmonizing multimodal datasets across sources, stages, and platforms, an effort that will increasingly rely on advances in computational biology and artificial intelligence.

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从整个胚胎的角度绘制卡内基阶段人类器官发生的图表。
卡内基阶段代表了人类发育的一个关键窗口,在此期间,器官原基出现,组织特性多样化,许多先天性疾病被认为是起源的。然而,这一时期在全胚胎规模上的研究仍然很困难。空间和单细胞基因组学的最新进展正开始缩小这一差距。本文讨论了横跨卡内基期12-23的原肠胚后人类胚胎的时空转录组图谱的意义,该图谱提供了迄今为止这一发育窗口期最全面的动态分子图谱之一。除了作为参考资源的价值之外,该图谱还提供了早期心脏模式,大脑区域化,抑制性和兴奋性神经发生时间,组织特异性产前感染易感性以及空间解决等位基因失衡的生物学见解。同样重要的是,它说明了该领域从碎片化的器官特异性数据集向可以连接胚胎学、人类遗传学和疾病机制的综合发育框架的更广泛转变。未来的进展不仅取决于产生更多的数据,还取决于协调跨来源、阶段和平台的多模态数据集,这一努力将越来越依赖于计算生物学和人工智能的进步。
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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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