Transcriptomic signatures and network‐based methods uncover new senescent cell anti‐apoptotic pathways and senolytics

Cellular senescence is an irreversible cell cycle arrest caused by various stressors that damage cells. Over time, senescent cells accumulate and contribute to the progression of multiple age-related degenerative diseases. It is believed that these cells accumulate partly due to their ability to evade programmed cell death through the development and activation of survival and antiapoptotic resistance mechanisms; however, many aspects of how these survival mechanisms develop and activate are still unknown. By analyzing transcriptomic signature profiles generated by the LINCS L1000 project and using network-based methods, we identified various genes that could represent new senescence-related survival mechanisms. Additionally, employing the same methodology, we identified over 600 molecules with potential senolytic activity. Experimental validation of our computational findings confirmed the senolytic activity of Fluorouracil, whose activity would be mediated by a multitarget mechanism, revealing that its targets AURKA, EGFR, IRS1, SMAD4, and KRAS are new senescent cell antiapoptotic pathways (SCAPs). The development of these pathways could depend on the stimulus that induces cellular senescence. The SCAP development and activation mechanisms proposed in this work offer new insights into how senescent cells survive. Identifying new antiapoptotic resistance targets and drugs with potential senolytic activity paves the way for developing new pharmacological therapies to eliminate senescent cells selectively.

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Publication Details

Journal
FEBS Journal
Published
2025-01-27
DOI
https://doi.org/10.1111/febs.17402
Citations
3
Primary Topic
Telomeres, Telomerase, and Senescence
Type
article
Field-Weighted Citation Impact
3.49

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article

Transcriptomic signatures and network‐based methods uncover new senescent cell anti‐apoptotic pathways and senolytics

Hugo Tovar, Jaime Pérez‐Villanueva, Norma Edith López‐Díazguerrero, Jesús Espinal‐Enríquez et al.
3 citations
FEBS Journal
Telomeres, Telomerase, and Senescence
3.49
article

Transcriptomic signatures and network‐based methods uncover new senescent cell anti‐apoptotic pathways and senolytics

Hugo Tovar, Jaime Pérez‐Villanueva, Norma Edith López‐Díazguerrero, Jesús Espinal‐Enríquez, Félix Matadamas‐Martínez, Mina Konigsberg, Samael Olascoaga
article en
3 citations

Abstract

Cellular senescence is an irreversible cell cycle arrest caused by various stressors that damage cells. Over time, senescent cells accumulate and contribute to the progression of multiple age-related degenerative diseases. It is believed that these cells accumulate partly due to their ability to evade programmed cell death through the development and activation of survival and antiapoptotic resistance mechanisms; however, many aspects of how these survival mechanisms develop and activate are still unknown. By analyzing transcriptomic signature profiles generated by the LINCS L1000 project and using network-based methods, we identified various genes that could represent new senescence-related survival mechanisms. Additionally, employing the same methodology, we identified over 600 molecules with potential senolytic activity. Experimental validation of our computational findings confirmed the senolytic activity of Fluorouracil, whose activity would be mediated by a multitarget mechanism, revealing that its targets AURKA, EGFR, IRS1, SMAD4, and KRAS are new senescent cell antiapoptotic pathways (SCAPs). The development of these pathways could depend on the stimulus that induces cellular senescence. The SCAP development and activation mechanisms proposed in this work offer new insights into how senescent cells survive. Identifying new antiapoptotic resistance targets and drugs with potential senolytic activity paves the way for developing new pharmacological therapies to eliminate senescent cells selectively.

FEBS JournalVol. 292(8)
Mexican Social Security Institute (MX), Universidad Autónoma Metropolitana (MX), National Institute of Genomic Medicine (MX), Centro Medico Nacional Siglo XXI (MX)
Consejo Nacional de Ciencia y Tecnología
Good health and well-being
Openalex Percentile: Top 9%
Telomeres, Telomerase, and Senescence
3.49
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