New methodologies in ageing research

Brenna Osborne; Daniela Bakula; Michael Ben Ezra; Charlotte Dresen; Esben Hartmann; Stella M. Kristensen; Garik V. Mkrtchyan; Malte H. Nielsen; Michael A. Petr; Morten Scheibye-Knudsen

doi:10.1016/j.arr.2020.101094

New methodologies in ageing research

Brenna Osborne, Daniela Bakula, Michael Ben Ezra, Charlotte Dresen, Esben Hartmann, Stella M. Kristensen, Garik V. Mkrtchyan, Malte H. Nielsen, Michael A. Petr, Morten Scheibye-Knudsen^*

^*Corresponding author for this work

Research output: Contribution to journal › Review › Research › peer-review

6 Citations (Scopus)

211 Downloads (Pure)

Abstract

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.

Original language	English
Article number	101094
Journal	Ageing Research Reviews
Volume	62
Number of pages	11
ISSN	1568-1637
DOIs	https://doi.org/10.1016/j.arr.2020.101094
Publication status	Published - 2020

Keywords

Ageing
High-throughput methods
Machine learning
Model organisms

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10.1016/j.arr.2020.101094Licence: CC BY

New methodologies in ageing researchFinal published version, 4.44 MBLicence: CC BY

Cite this

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title = "New methodologies in ageing research",

abstract = "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.",

keywords = "Ageing, High-throughput methods, Machine learning, Model organisms",

author = "Brenna Osborne and Daniela Bakula and {Ben Ezra}, Michael and Charlotte Dresen and Esben Hartmann and Kristensen, {Stella M.} and Mkrtchyan, {Garik V.} and Nielsen, {Malte H.} and Petr, {Michael A.} and Morten Scheibye-Knudsen",

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journal = "Ageing Research Reviews",

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AU - Osborne, Brenna

AU - Bakula, Daniela

AU - Ben Ezra, Michael

AU - Dresen, Charlotte

AU - Hartmann, Esben

AU - Kristensen, Stella M.

AU - Mkrtchyan, Garik V.

AU - Nielsen, Malte H.

AU - Petr, Michael A.

AU - Scheibye-Knudsen, Morten

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Ageing

KW - High-throughput methods

KW - Machine learning

KW - Model organisms

U2 - 10.1016/j.arr.2020.101094

DO - 10.1016/j.arr.2020.101094

M3 - Review

C2 - 32512174

AN - SCOPUS:85087496149

VL - 62

JO - Ageing Research Reviews

JF - Ageing Research Reviews

SN - 1568-1637

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ER -