Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163458
Title: Guiding irregular nuclear morphology on nanopillar arrays for malignancy differentiation in tumor cells
Authors: Zeng, Yongpeng
Zhuang, Yinyin
Vinod, Benjamin
Guo, Xiangfu
Mitra, Aninda
Chen, Peng
Saggio, Isabella
Shivashankar, G. V.
Gao, Weibo
Zhao, Wenting
Keywords: Science::Biological sciences
Issue Date: 2022
Source: Zeng, Y., Zhuang, Y., Vinod, B., Guo, X., Mitra, A., Chen, P., Saggio, I., Shivashankar, G. V., Gao, W. & Zhao, W. (2022). Guiding irregular nuclear morphology on nanopillar arrays for malignancy differentiation in tumor cells. Nano Letters, 22(18), 7724-7733. https://dx.doi.org/10.1021/acs.nanolett.2c01849
Project: RG145/18
RG112/20
NRF2019-NRF-ISF003- 3292
Journal: Nano Letters
Abstract: For more than a century, abnormal nuclei in tumor cells, presenting subnuclear invaginations and folds on the nuclear envelope, have been known to be associated with high malignancy and poor prognosis. However, current nuclear morphology analysis focuses on the features of the entire nucleus, overlooking the malignancy-related subnuclear features in nanometer scale. The main technical challenge is to probe such tiny and randomly distributed features inside cells. We here employ nanopillar arrays to guide subnuclear features into ordered patterns, enabling their quantification as a strong indicator of cell malignancy. Both breast and liver cancer cells were validated as well as the quantification of nuclear abnormality heterogeneity. The alterations of subnuclear patterns were also explored as effective readouts for drug treatment. We envision that this nanopillar-enabled quantification of subnuclear abnormal features in tumor cells opens a new angle in characterizing malignant cells and studying the unique nuclear biology in cancer.
URI: https://hdl.handle.net/10356/163458
ISSN: 1530-6984
DOI: 10.1021/acs.nanolett.2c01849
Rights: © 2022 American Chemical Society. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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