Atomic force microscopy-based cancer diagnosis by detecting cancer-specific biomolecules and cells
| Autor: | Taeyun Kwon, Kilho Eom, Sundaram Gunasekaran |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Cancer Research
Nanotechnology Cell analysis macromolecular substances 02 engineering and technology Microscopy Atomic Force Diagnostic system 03 medical and health sciences Neoplasms Genetics medicine Animals Humans 030304 developmental biology chemistry.chemical_classification 0303 health sciences Disease expression Chemistry Atomic force microscopy Biomolecule technology industry and agriculture Cancer 021001 nanoscience & nanotechnology medicine.disease Oncology biological sciences Cancer cell 0210 nano-technology |
| Zdroj: | Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1871:367-378 |
| ISSN: | 0304-419X |
| DOI: | 10.1016/j.bbcan.2019.03.002 |
| Popis: | Atomic force microscopy (AFM) has recently attracted much attention due to its ability to analyze biomolecular interactions and to detect certain biomolecules, which play a crucial role in disease expression. Despite recent studies reporting AFM imaging for the analyses of biomolecules, the application of AFM-based cancer-specific biomolecule/cell detection has remained largely underexplored, especially for the early diagnosis of cancer. In this paper, we review the recent attempts, including our efforts, to analyze and detect cancer-specific biomolecules and cancer cells. We particularly focus on two AFM-based cancer diagnosis techniques: (i) AFM imaging-based biomolecular and cellular detection, (ii) AFM cantilever-based biomolecular sensing and cell analysis. It is shown that AFM-based biomolecular detection has been applied for not only early diagnosing cancer, by measuring the minute amount of cancer-specific proteins, but also monitoring of cancer progression, by correlating the amount of cancer-specific proteins with the progression of cancer. In addition, AFM-based cell imaging and detection have been employed for diagnosing cancer, by detecting cancerous cells in tissue, as well as understanding cancer progression, by characterizing the dynamics of cancer cells. This review, therefore, highlights AFM-based biomolecule/cell detection, which will pave the way for developing a fast and point-of-care diagnostic system for biomedical applications. |
| Databáze: | OpenAIRE |
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