Guest Editors
Prof. Shuhua Yue, Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Email: yue_shuhua@buaa.edu.cn.
Prof. Jian Yu, Interdisciplinary Institute for Cancer Diagnosis and Treatment, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.
Email: yulab@buaa.edu.cn
Summary
Cellular homeostasis is maintained by a series of chemical transformations that are highly dynamic and tightly regulated in every single cells. Dysregulation in cellular homeostasis leads to many prevalent human diseases. Conventional biochemical assays could demonstrate the presence and concentration of biomolecules extracted from isolated cells or tissue homogenates, however, some important target molecules with small quantities are often buried in the large background of dominant species due to the limited detection sensitivity. Moreover, the investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. Therefore, development of new single cell analysis techniques, including imaging, sensing, manipulating, and sorting, can be beneficial for providing information regarding spatial and temporal dynamics, and elucidating how exactly the biomolecules are metabolized in single live cells. Also, single-cell omics can provide valuable information about functional mutation and copy number variations of cells, which can help to provide a better understanding of intracellular interactions and environmental responses of cellular organelles.
This special issue will focus on the development of single cell analysis techniques and their applications in biological discovery, disease diagnosis and treatment, as well as future prospects regarding health benefits. We invite authors to submit a wide range of manuscripts, including original research, short commentary, and review articles in this area.
Keywords
Single Cell, Imaging, Sensing, Manipulating, Sorting, Diagnosis, Treatment
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