Research
Aging research have accumulated many genes and pathways that are implicated in the aging process, but much rarer are knowledge about how they work together as a system. Our research has shown that the aging processes are dynamically and mathematically similar in many organisms as distinct as bacteria and human. Having a computable, mathematical model enabled us to answer both fundamental and applied questions when it comes to aging and longevity. Our recent publications has dealth with questions such as why individuals die at different age, or how to compress age-related morbidities.
All
2025
A damage accumulation model reveals strategies of aging across species
[no publisher info]
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08 Jul 2025
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doi:10.21203/rs.3.rs-6946440/v1
Dynamic growth trajectories distinguish bacteriostatic and bactericidal antibiotics at subinhibitory concentrations
[no publisher info]
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19 Jun 2025
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doi:10.1101/2025.06.14.659040
Compression of morbidity by interventions that steepen the survival curve
Nature Communications
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08 Apr 2025
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doi:10.1038/s41467-025-57807-5
2023
Compression of morbidity by interventions that steepen the survival curve
Cold Spring Harbor Laboratory
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05 Oct 2023
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doi:10.1101/2023.10.04.560871
Damage dynamics and the role of chance in the timing of E. coli cell death
Nature Communications
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18 Apr 2023
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doi:10.1038/s41467-023-37930-x
2022
Damage dynamics in singleE. coliand the role of chance in the timing of cell death
Cold Spring Harbor Laboratory
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17 Oct 2022
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doi:10.1101/2022.10.17.512406
2019
Temporal scaling of aging as an adaptive strategy of
Escherichia coli
Science Advances
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03 May 2019
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doi:10.1126/sciadv.aaw2069
2018
Temporal scaling of ageing as an adaptive strategy ofEscherichia coli
Cold Spring Harbor Laboratory
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24 Jul 2018
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doi:10.1101/376566
2016
Time-lapse microscopy and image analysis of Escherichia coli cells in mother machines
Methods in Microbiology
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01 Jan 2016
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doi:10.1016/bs.mim.2016.10.003
2015
A synthetic growth switch based on controlled expression of RNA polymerase
Molecular Systems Biology
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01 Nov 2015
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doi:10.15252/msb.20156382
2007
ProTISA: a comprehensive resource for translation initiation site annotation in prokaryotic genomes
Nucleic Acids Research
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23 Dec 2007
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doi:10.1093/nar/gkm799
MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes
BMC Bioinformatics
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16 Mar 2007
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doi:10.1186/1471-2105-8-97