2018
DOI: 10.1016/j.ddmod.2019.01.001
|View full text |Cite
|
Sign up to set email alerts
|

Human neurons to model aging: A dish best served old

Abstract: With the advancing age of humans and with it, growing numbers of age-related diseases, aging has become a major focus in recent research. The lack of fitting aging models, especially in neurological diseases where access to human brain samples is limited, has highlighted direct conversion into induced neurons (iN) as an important method to overcome this challenge. Contrary to iPSC reprogramming and its corresponding cell rejuvenation, the generation of iNs enables us to retain aging signatures throughout the c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
13
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 16 publications
(13 citation statements)
references
References 80 publications
0
13
0
Order By: Relevance
“…We expect such criteria to become more and more popular, extending our knowledge of cell identity, and that they will eventually largely replace classical means of neuronal characterization. The rejuvenation effect of iPSC reprogramming is a major drawback when attempting to model late-onset diseases [17,157,158], and artificial induction of the factor age by overexpressing progerin [151], shortening of telomeres [159], or exposing cells to age-related stressors [12,160] is an upcoming and widely used strategy to elicit a relevant phenotype in iPSC models for neurodegenerative diseases [12,148,[161][162][163]. In vitro generation of patient-specific neurons from iPSCs for modeling diseases of the brain has evolved into an integral part of neuroscience [144][145][146], and employing human iPSC technology to investigate aspects of age-related neurodegenerative diseases in a patient-specific genetic context at a cellular level has yielded important human neuron-specific insights [147][148][149][150].…”
Section: You Are What You Eat: Metabolic Hallmarks Of In Conversionmentioning
confidence: 99%
See 4 more Smart Citations
“…We expect such criteria to become more and more popular, extending our knowledge of cell identity, and that they will eventually largely replace classical means of neuronal characterization. The rejuvenation effect of iPSC reprogramming is a major drawback when attempting to model late-onset diseases [17,157,158], and artificial induction of the factor age by overexpressing progerin [151], shortening of telomeres [159], or exposing cells to age-related stressors [12,160] is an upcoming and widely used strategy to elicit a relevant phenotype in iPSC models for neurodegenerative diseases [12,148,[161][162][163]. In vitro generation of patient-specific neurons from iPSCs for modeling diseases of the brain has evolved into an integral part of neuroscience [144][145][146], and employing human iPSC technology to investigate aspects of age-related neurodegenerative diseases in a patient-specific genetic context at a cellular level has yielded important human neuron-specific insights [147][148][149][150].…”
Section: You Are What You Eat: Metabolic Hallmarks Of In Conversionmentioning
confidence: 99%
“…In vitro generation of patient-specific neurons from iPSCs for modeling diseases of the brain has evolved into an integral part of neuroscience [144][145][146], and employing human iPSC technology to investigate aspects of age-related neurodegenerative diseases in a patient-specific genetic context at a cellular level has yielded important human neuron-specific insights [147][148][149][150]. 2) [12,17,157]. 2) [10,[151][152][153][154][155][156].…”
Section: You Are What You Eat: Metabolic Hallmarks Of In Conversionmentioning
confidence: 99%
See 3 more Smart Citations