Review and Progress

The Application of Single-cell Omics in Developmental Biology: from Model Organisms to Humans  

Wei Wang
Institute of Life Science,Jiyang College of Zhejiang A&F University, Zhuji, 311800, China
Author    Correspondence author
International Journal of Molecular Zoology, 2024, Vol. 14, No. 1   doi: 10.5376/ijmz.2024.14.0005
Received: 07 Feb., 2024    Accepted: 15 Feb., 2024    Published: 26 Feb., 2024
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Wang W., 2024, The application of single-cell omics in developmental biology: from model organisms to humans, International Journal of Molecular Zoology, 14(1): 31-43 (doi: 10.5376/ijmz.2024.14.0005)


With the rapid development of single-cell omics technology, its application in the field of developmental biology is becoming increasingly widespread. This article reviews the key role of single-cell omics techniques in research from model organisms to human developmental biology, revealing the importance of cell heterogeneity, dynamic monitoring of gene expression and epigenetic modifications, and constructing cross species developmental biology models. At the same time, the conservatism and diversity of single-cell omics technology in understanding human development, as well as its application in disease mechanism exploration, drug screening, and treatment strategy development, were also discussed. However, this technology still faces technical challenges such as sample preparation, data quality, and analysis complexity, as well as ethical challenges in the use and storage of human samples. This study aims to provide new perspectives and tools for the field of developmental biology, promote a deeper understanding of life processes, and provide strong support for future medical research and treatment.

Single-cell omics; Developmental biology; Model organisms; Human beings; Technology application
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