Horizons in the evolution of aging DOI Creative Commons
Thomas Flatt, Linda Partridge

BMC Biology, Journal Year: 2018, Volume and Issue: 16(1)

Published: Aug. 20, 2018

Between the 1930s and 50s, evolutionary biologists developed a successful theory of why organisms age, firmly rooted in population genetic principles. By 1980s evolution aging had secure experimental basis. Since force selection declines with evolves due to mutation accumulation or benefit fitness early life. Here we review major insights challenges that have emerged over last 35 years: does not always necessarily decline age; higher extrinsic (i.e., environmentally caused) mortality accelerate aging; conserved pathways control rate; senescence patterns are more diverse than previously thought; is universal; trade-offs involving lifespan can be 'broken'; might 'druggable'; human life expectancy continues rise but compressing late-life morbidity remains pressing challenge.

Language: Английский

Ageing as a risk factor for neurodegenerative disease DOI
Yujun Hou, Xiuli Dan, Mansi Babbar

et al.

Nature Reviews Neurology, Journal Year: 2019, Volume and Issue: 15(10), P. 565 - 581

Published: Sept. 9, 2019

Language: Английский

Citations

2467

RNA targeting with CRISPR–Cas13 DOI
Omar O. Abudayyeh, Jonathan S. Gootenberg, Patrick Essletzbichler

et al.

Nature, Journal Year: 2017, Volume and Issue: 550(7675), P. 280 - 284

Published: Oct. 1, 2017

Language: Английский

Citations

1761

Tryptophan metabolism as a common therapeutic target in cancer, neurodegeneration and beyond DOI
Michael Platten, Ellen A. A. Nollen,

Ute F. Röhrig

et al.

Nature Reviews Drug Discovery, Journal Year: 2019, Volume and Issue: 18(5), P. 379 - 401

Published: Feb. 13, 2019

Language: Английский

Citations

1154

High-Dimensional Single-Cell Mapping of Central Nervous System Immune Cells Reveals Distinct Myeloid Subsets in Health, Aging, and Disease DOI Creative Commons
Dunja Mrdjen, Anto Pavlovic, Felix J. Hartmann

et al.

Immunity, Journal Year: 2018, Volume and Issue: 48(2), P. 380 - 395.e6

Published: Feb. 1, 2018

Language: Английский

Citations

857

A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain DOI Creative Commons
Kristofer Davie, Jasper Janssens,

Duygu Koldere

et al.

Cell, Journal Year: 2018, Volume and Issue: 174(4), P. 982 - 998.e20

Published: June 18, 2018

The diversity of cell types and regulatory states in the brain, how these change during aging, remains largely unknown. We present a single-cell transcriptome atlas entire adult Drosophila melanogaster brain sampled across its lifespan. Cell clustering identified 87 initial clusters that are further subclustered validated by targeted cell-sorting. Our data show high granularity identify wide range types. Gene network analyses using SCENIC revealed heterogeneity linked to energy consumption. During RNA content declines exponentially without affecting neuronal identity old brains. This covers nearly all cells normal provides tools study cellular alongside other mammalian datasets our unique analysis platform: SCope (http://scope.aertslab.org). These results, together with SCope, allow comprehensive exploration transcriptional an aging brain.

Language: Английский

Citations

796

Neurodegenerative disease: models, mechanisms, and a new hope DOI Creative Commons
Aaron D. Gitler, Paraminder Dhillon, James Shorter

et al.

Disease Models & Mechanisms, Journal Year: 2017, Volume and Issue: 10(5), P. 499 - 502

Published: May 1, 2017

ABSTRACT Neurodegeneration is a feature of many debilitating, incurable diseases that are rapidly rising in prevalence, such as Parkinson's disease. There an urgent need to develop new and more effective therapeutic strategies combat these devastating diseases. Models – from cell-based systems, unicellular organisms, complex animals have proven be useful tool help the research community shed light on mechanisms underlying neurodegenerative diseases, advances now begun provide promising avenues. In this themed issue Disease & Mechanisms, special collection articles focused introduced. The includes original insights into pathophysiology revealing candidate biomarkers or targets. Some describe disease model enables deeper exploration key mechanisms. We also present series reviews highlight some recent translational made studies Editorial, we summarize featured collection, emphasizing impact model-based exciting area research.

Language: Английский

Citations

667

Single-cell transcriptomic profiling of the aging mouse brain DOI
Methodios Ximerakis, Scott Lipnick, Brendan T. Innes

et al.

Nature Neuroscience, Journal Year: 2019, Volume and Issue: 22(10), P. 1696 - 1708

Published: Sept. 24, 2019

Language: Английский

Citations

614

SIRT1 and aging related signaling pathways DOI
Chen Cui, Min Zhou, Yuchen Ge

et al.

Mechanisms of Ageing and Development, Journal Year: 2020, Volume and Issue: 187, P. 111215 - 111215

Published: Feb. 19, 2020

Language: Английский

Citations

501

Microglial Remodeling of the Extracellular Matrix Promotes Synapse Plasticity DOI Creative Commons
Phi T. Nguyen, Leah C. Dorman, Simon Pan

et al.

Cell, Journal Year: 2020, Volume and Issue: 182(2), P. 388 - 403.e15

Published: July 1, 2020

Language: Английский

Citations

492

Ageing, age-related diseases and oxidative stress: What to do next? DOI
Jiao Luo, Kevin Mills, Saskia le Cessie

et al.

Ageing Research Reviews, Journal Year: 2019, Volume and Issue: 57, P. 100982 - 100982

Published: Nov. 13, 2019

Language: Английский

Citations

487