Single-cell transcriptomic analysis uncovers diverse and dynamic senescent cell populations
Noah Wechter, Martina Rossi, Carlos Anerillas, Dimitrios Tsitsipatis, Yulan Piao, Jinshui Fan, Jennifer L. Martindale, Supriyo De, Krystyna Mazan-Mamczarz, Myriam Gorospe
Abstract
) mRNA, and another in which cells expressed long noncoding RNAs and splicing was dysregulated. Finally, we obtained evidence that the proliferation status at the time of senescence initiation affected the path of senescence, as determined based on the expressed RNAs. We propose that a deeper understanding of the transcriptomes during the progression of different senescent cell phenotypes will help develop more effective interventions directed at this detrimental cell population.
Topics & Concepts
TranscriptomeCellBiologyComputational biologyEvolutionary biologyCell biologyGeneticsGeneGene expressionSingle-cell and spatial transcriptomicsTelomeres, Telomerase, and SenescenceNeutrophil, Myeloperoxidase and Oxidative Mechanisms