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Alfatah M, Zhang Y, Naaz A, Cheng TYN, Eisenhaber F. PICLS with human cells is the first high throughput screening method for identifying novel compounds that extend lifespan. Biol Direct 2024; 19:8. [PMID: 38254217 PMCID: PMC10804585 DOI: 10.1186/s13062-024-00455-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/18/2024] [Indexed: 01/24/2024] Open
Abstract
Gerontology research on anti-aging interventions with drugs could be an answer to age-related diseases, aiming at closing the gap between lifespan and healthspan. Here, we present two methods for assaying chronological lifespan in human cells: (1) a version of the classical outgrowth assay with quantitative assessment of surviving cells and (2) a version of the PICLS method (propidium iodide fluorescent-based measurement of cell death). Both methods are fast, simple to conduct, cost-effective, produce quantitative data for further analysis and can be used with diverse human cell lines. Whereas the first method is ideal for validation and testing the post-intervention reproductive potential of surviving cells, the second method has true high-throughput screening potential. The new technologies were validated with known anti-aging compounds (2,5-anhydro-D-mannitol and rapamycin). Using the high-throughput screening method, we screened a library of 162 chemical entities and identified three compounds that extend the longevity of human cells.
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Affiliation(s)
- Mohammad Alfatah
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, Matrix #07-01, Singapore, 138671, Republic of Singapore.
| | - Yizhong Zhang
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, Matrix #07-01, Singapore, 138671, Republic of Singapore
| | - Arshia Naaz
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome #02-01, Singapore, 138672, Republic of Singapore
| | - Trishia Yi Ning Cheng
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, Matrix #07-01, Singapore, 138671, Republic of Singapore
| | - Frank Eisenhaber
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, Matrix #07-01, Singapore, 138671, Republic of Singapore
- LASA - Lausitz Advanced Scientific Applications gGmbH, Straße der Einheit 2-24, 02943, Weißwasser, Federal Republic of Germany
- School of Biological Sciences (SBS), Nanyang Technological University (NTU), Singapore, 637551, Republic of Singapore
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