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Noa Rachmian

Weizmann Institute of Science

ORCID: 0009-0007-5818-2248

Publishes on Neuroinflammation and Neurodegeneration Mechanisms, Telomeres, Telomerase, and Senescence, Neurological Disease Mechanisms and Treatments. 5 papers and 171 citations.

5Publications
171Total Citations

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Top publicationsby citations

Senescent cells in the brain and where to find them
Cited by 17Open Access

Cellular senescence is a process in which cells change their characteristic phenotype in response to stress and enter a state of prolonged cell cycle arrest accompanied by a distinct secretory phenotype. Cellular senescence has both beneficial and detrimental outcomes. With age, senescent cells progressively accumulate in tissues and might be the bridge connecting ageing to many age-related pathologies. In recent years, evidence emerged supporting the accumulation of brain senescent cells during neurological disorders and ageing. Here, we will discuss the different brain cell populations that exhibit a senescent phenotype. Subsequently, we will explore several senolytic strategies which have been developed to eliminate senescent cells. Finally, we will examine their potential to directly eliminate these senescent brain cells.

TREM2-dependent senescent microglia conserved in aging and Alzheimer’s disease
Noa Rachmian, Silvia Medina, Ulysse Cherqui et al.|bioRxiv (Cold Spring Harbor Laboratory)|2023
Cited by 5Open Access

Abstract Dementia in general, and Alzheimer’s disease (AD) in particular, are age-related diseases 1,2 . AD is associated with multiple causative factors 3,4 , among which local brain inflammation plays a significant role 5 . Microglia, the brain-resident immune cells 6,7 , are activated along the disease course 7 . Yet, their contribution to the disease progression is still controversial. Here, using high-throughput mass cytometry for microglial immuno-phenotyping, we identified accumulation of senescent microglia in several pathologies associated with cognitive decline. These senescent microglia have a unique profile conserved across the multiple conditions investigated, including aging, mouse models of amyloidosis, and tauopathy. Moreover, we found that the expression of markers of senescence correlates with levels of TREM2, whose polymorphism was identified by GWAS as an AD risk factor 8,9 . A TREM2-null AD mouse model showed lower levels of senescent microglia, relative to TREM2-intact AD mice. Senolysis using the drug ABT-737 10,11 in an AD mouse model reduced the abundance of TREM2-senescent microglia without affecting levels of TREM2-dependent activated microglia, ameliorated cognitive deficits, and reduced brain inflammation. These results reveal the unexpected contribution of TREM2 to accumulation of senescent microglia in AD pathology, an effect that must be considered when targeting TREM2 as a therapeutic approach.

Building Bridges Between the Clinic and the Laboratory: A Meeting Review – Brain Malformations: A Roadmap for Future Research
Tamar Sapir, Tahsin Stefan Barakat, Mercedes F. Paredes et al.|Frontiers in Cellular Neuroscience|2019
Cited by 4Open Access

In the middle of March 2019, a group of scientists and clinicians (as well as those who wear both hats) gathered in the green campus of the Weizmann Institute of Science to share recent scientific findings, to establish collaborations, and to discuss future directions for better diagnosis, etiology modeling and treatment of brain malformations. One hundred fifty scientists from twenty-two countries took part in this meeting. Thirty-eight talks were presented and as many as twenty-five posters were displayed. This review is aimed at presenting some of the highlights that the audience was exposed to during the three-day meeting.

Single-cell quantification of senescence burden reveals cell type-specific ageing dynamics across organs
Ulysse Cherqui, Ilanit Sopher, Hagay Akiva et al.|bioRxiv (Cold Spring Harbor Laboratory)|2025
Cited by 0Open Access

Abstract Cellular senescence, a hallmark of ageing, drives tissue dysfunction by promoting inflammation and fuelling disease. Yet, the dynamics of senescent cell accumulation across tissues and their cell type identity remain poorly understood. Here, we introduce the first, single-cell, protein-level approach, combining multiple senescence markers for the identification and quantification of senescent cells across multiple tissues in mice and in human PBMCs. Applying this method, we reveal widespread but heterogeneous changes in senescence marker expression across cell types and tissues. The cells we identify as senescent displayed transcriptomic senescence signatures, providing a direct molecular link between protein- and mRNA-level detection of senescence. Importantly, senescence accumulation was strongly coordinated within organs but showed little correlation across them, supporting the idea of a tissue specific progression of ageing. These findings refine our understanding of the tissue-specific dynamics of senescence accumulation with age, and provide a framework for evaluating diverse therapeutic interventions.