New methodologies in ageing research

• Published in: Ageing research reviews Vol. 62; p. 101094
• Main Authors: Osborne, Brenna, Bakula, Daniela, Ben Ezra, Michael, Dresen, Charlotte, Hartmann, Esben, Kristensen, Stella M., Mkrtchyan, Garik V., Nielsen, Malte H., Petr, Michael A., Scheibye-Knudsen, Morten
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.09.2020
• Subjects: Ageing; Aging; High-throughput methods; Humans; Machine learning; Model organisms; Model organisms; Ageing; High-throughput methods; Machine learning
• ISSN: 1568-1637; 1872-9649
• DOI: 10.1016/j.arr.2020.101094

•Ageing is a highly complex process driven by a multitude of factors.•Advanced methods are emerging allowing us greater understanding of ageing.•These include novel model organisms, high-throughput experimental approaches and machine learning for analysis of large and complex data.•Given the intricate nature of ageing and the increase in data availability, these methods will become increasingly important in the coming years. Ageing is arguably the most complex phenotype that occurs in humans. To understand and treat ageing as well as associated diseases, highly specialised technologies are emerging that reveal critical insight into the underlying mechanisms and provide new hope for previously untreated diseases. Herein, we describe the latest developments in cutting edge technologies applied across the field of ageing research. We cover emerging model organisms, high-throughput methodologies and machine-driven approaches. In all, this review will give you a glimpse of what will be pushing the field onwards and upwards.