<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Li S</submitter><funding>NIDDK NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NCI NIH HHS</funding><pagination>2381-2394</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12916282</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>57(10)</volume><pubmed_abstract>Cellular senescence is a complex biological process that plays a pathophysiological role in aging and age-related diseases. The biological understanding of senescence at the cellular and tissue levels remains incomplete due to the lack of specific biomarkers as well as the relative rarity of senescent cells, their phenotypic heterogeneity and dynamic features. This Review provides a comprehensive overview of multiomic approaches for the characterization and biological understanding of cellular senescence. The technical capability and challenges of each approach are discussed, and practical guidelines are provided for selecting tools for identifying, characterizing and spatially mapping senescent cells. The importance of computational analyses in multiomics research, including senescent cel</pubmed_abstract><journal>Nature genetics</journal><pubmed_title>Advancing biological understanding of cellular senescence with computational multiomics.</pubmed_title><pmcid>PMC12916282</pmcid><funding_grant_id>R01 DK132535</funding_grant_id><funding_grant_id>U54 AG075932</funding_grant_id><funding_grant_id>UH3 CA275681</funding_grant_id><pubmed_authors>Konigshoff M</pubmed_authors><pubmed_authors>Garovic V</pubmed_authors><pubmed_authors>Zhang K</pubmed_authors><pubmed_authors>Mitchell JT</pubmed_authors><pubmed_authors>Nagaraj S</pubmed_authors><pubmed_authors>Lu Y</pubmed_authors><pubmed_authors>Niedernhofer LJ</pubmed_authors><pubmed_authors>Dong M</pubmed_authors><pubmed_authors>Schmidt EL</pubmed_authors><pubmed_authors>Shu J</pubmed_authors><pubmed_authors>Robson P</pubmed_authors><pubmed_authors>Chuang JH</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Martini H</pubmed_authors><pubmed_authors>Sun L</pubmed_authors><pubmed_authors>Tchkonia T</pubmed_authors><pubmed_authors>Wang S</pubmed_authors><pubmed_authors>Xie J</pubmed_authors><pubmed_authors>Gu L</pubmed_authors><pubmed_authors>Kirkland JL</pubmed_authors><pubmed_authors>Becich MJ</pubmed_authors><pubmed_authors>Enninful A</pubmed_authors><pubmed_authors>Lee JH</pubmed_authors><pubmed_authors>Rojas M</pubmed_authors><pubmed_authors>Xu M</pubmed_authors><pubmed_authors>Li D</pubmed_authors><pubmed_authors>Wu PH</pubmed_authors><pubmed_authors>Chen J</pubmed_authors><pubmed_authors>Teneche MG</pubmed_authors><pubmed_authors>Mora AL</pubmed_authors><pubmed_authors>Adams PD</pubmed_authors><pubmed_authors>Rahman I</pubmed_authors><pubmed_authors>Vanegas N</pubmed_authors><pubmed_authors>Jeon H</pubmed_authors><pubmed_authors>Benz C</pubmed_authors><pubmed_authors>Elisseeff J</pubmed_authors><pubmed_authors>Melov S</pubmed_authors><pubmed_authors>Li S</pubmed_authors><pubmed_authors>Dileepan M</pubmed_authors><pubmed_authors>SenNet Consortium</pubmed_authors><pubmed_authors>Hu Q</pubmed_authors><pubmed_authors>Schafer MJ</pubmed_authors><pubmed_authors>Rosas L</pubmed_authors><pubmed_authors>Ma Q</pubmed_authors><pubmed_authors>Yu M</pubmed_authors><pubmed_authors>Hertzel AV</pubmed_authors><pubmed_authors>Bueno M</pubmed_authors><pubmed_authors>Musi N</pubmed_authors><pubmed_authors>Passos JF</pubmed_authors><pubmed_authors>Baker DJ</pubmed_authors><pubmed_authors>Glass C</pubmed_authors><pubmed_authors>Lugo-Martinez J</pubmed_authors><pubmed_authors>Aliferis C</pubmed_authors><pubmed_authors>Zhao Y</pubmed_authors><pubmed_authors>Ding L</pubmed_authors><pubmed_authors>Franco AC</pubmed_authors><pubmed_authors>Farzad N</pubmed_authors><pubmed_authors>Menon V</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Bernlohr DA</pubmed_authors><pubmed_authors>Flynn WF</pubmed_authors><pubmed_authors>LeBrasseur NK</pubmed_authors><pubmed_authors>Kummerfeld E</pubmed_authors><pubmed_authors>So PTC</pubmed_authors><pubmed_authors>Calyeca J</pubmed_authors><pubmed_authors>Aguayo-Mazzucato C</pubmed_authors><pubmed_authors>Ramasamy R</pubmed_authors><pubmed_authors>Iwasaki K</pubmed_authors><pubmed_authors>Rosenthal N</pubmed_authors><pubmed_authors>Fertig EJ</pubmed_authors><pubmed_authors>Rindone AN</pubmed_authors><pubmed_authors>Childs BG</pubmed_authors><pubmed_authors>Taha HB</pubmed_authors><pubmed_authors>Halene S</pubmed_authors><pubmed_authors>Sengupta K</pubmed_authors><pubmed_authors>Yin S</pubmed_authors><pubmed_authors>Duncan F</pubmed_authors><pubmed_authors>Rodriguez-Lopez J</pubmed_authors><pubmed_authors>Kang JW</pubmed_authors><pubmed_authors>Karmakar S</pubmed_authors><pubmed_authors>Schneider K</pubmed_authors><pubmed_authors>Fan R</pubmed_authors><pubmed_authors>Agudelo Garcia PA</pubmed_authors><pubmed_authors>Schilling B</pubmed_authors><pubmed_authors>Chung D</pubmed_authors><pubmed_authors>Cosgrove BD</pubmed_authors><pubmed_authors>Ma A</pubmed_authors><pubmed_authors>Robbins PD</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Nelson AC</pubmed_authors><pubmed_authors>Korstanje R</pubmed_authors><pubmed_authors>Herman AB</pubmed_authors><pubmed_authors>Ji Z</pubmed_authors><pubmed_authors>Furman D</pubmed_authors><pubmed_authors>Peters ST</pubmed_authors><pubmed_authors>Zhu Q</pubmed_authors></additional><is_claimable>false</is_claimable><name>Advancing biological understanding of cellular senescence with computational multiomics.</name><description>Cellular senescence is a complex biological process that plays a pathophysiological role in aging and age-related diseases. The biological understanding of senescence at the cellular and tissue levels remains incomplete due to the lack of specific biomarkers as well as the relative rarity of senescent cells, their phenotypic heterogeneity and dynamic features. This Review provides a comprehensive overview of multiomic approaches for the characterization and biological understanding of cellular senescence. The technical capability and challenges of each approach are discussed, and practical guidelines are provided for selecting tools for identifying, characterizing and spatially mapping senescent cells. The importance of computational analyses in multiomics research, including senescent cel</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-07-09T11:04:31.147Z</modification><creation>2026-07-09T10:39:15.427Z</creation></dates><accession>S-EPMC12916282</accession><cross_references><pubmed>40954249</pubmed><doi>10.1038/s41588-025-02314-y</doi></cross_references></HashMap>