Charting human cellular senescence in aging and disease

the NIH SenNet consortium

doi:10.1016/j.cell.2026.05.028

Charting human cellular senescence in aging and disease

the NIH SenNet consortium

Biochemistry, Molecular Biology, and Biophysics (TMED)

Research output: Contribution to journal › Comment/debate › peer-review

4 Scopus citations

Abstract

Cellular senescence comprises diverse cell states emerging across human tissues during aging and disease. Integrating single-cell and spatial multi-omics with AI-driven analyses enables systematic mapping of senescent cell heterogeneity (“senotypes”), revealing tissue-specific programs and microenvironmental interactions. These advances provide frameworks for biomarker discovery and development of targeted senotherapeutic strategies.

Original language	English (US)
Pages (from-to)	3501-3505
Number of pages	5
Journal	Cell
Volume	189
Issue number	12
DOIs	https://doi.org/10.1016/j.cell.2026.05.028
State	Published - Jun 11 2026

Bibliographical note

Publisher Copyright:
© 2026 Elsevier Inc.

PubMed: MeSH publication types

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10.1016/j.cell.2026.05.028

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title = "Charting human cellular senescence in aging and disease",

abstract = "Cellular senescence comprises diverse cell states emerging across human tissues during aging and disease. Integrating single-cell and spatial multi-omics with AI-driven analyses enables systematic mapping of senescent cell heterogeneity ({\textquotedblleft}senotypes{\textquotedblright}), revealing tissue-specific programs and microenvironmental interactions. These advances provide frameworks for biomarker discovery and development of targeted senotherapeutic strategies.",

author = "\{the NIH SenNet consortium\} and Vidyani Suryadevara and Negin Farzad and Mingyu Yang and Ke Xu and Alexander Tsankov and Thompson, \{Ryan C.\} and Nick Sloan and Hemali Phatnani and Bradley Olinger and Mares, \{Jason A.\} and Lund, \{Anina N.\} and Dongmei Li and Myriam Gorospe and Li Ding and Noam Beckmann and Nathan Basisty and Carlos Anerillas and Paul Robbins and Rong Fan",

note = "Publisher Copyright: {\textcopyright} 2026 Elsevier Inc.",

year = "2026",

month = jun,

day = "11",

doi = "10.1016/j.cell.2026.05.028",

language = "English (US)",

volume = "189",

pages = "3501--3505",

journal = "Cell",

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TY - JOUR

T1 - Charting human cellular senescence in aging and disease

AU - the NIH SenNet consortium

AU - Suryadevara, Vidyani

AU - Farzad, Negin

AU - Yang, Mingyu

AU - Xu, Ke

AU - Tsankov, Alexander

AU - Thompson, Ryan C.

AU - Sloan, Nick

AU - Phatnani, Hemali

AU - Olinger, Bradley

AU - Mares, Jason A.

AU - Lund, Anina N.

AU - Li, Dongmei

AU - Gorospe, Myriam

AU - Ding, Li

AU - Beckmann, Noam

AU - Basisty, Nathan

AU - Anerillas, Carlos

AU - Robbins, Paul

AU - Fan, Rong

PY - 2026/6/11

Y1 - 2026/6/11

N2 - Cellular senescence comprises diverse cell states emerging across human tissues during aging and disease. Integrating single-cell and spatial multi-omics with AI-driven analyses enables systematic mapping of senescent cell heterogeneity (“senotypes”), revealing tissue-specific programs and microenvironmental interactions. These advances provide frameworks for biomarker discovery and development of targeted senotherapeutic strategies.

AB - Cellular senescence comprises diverse cell states emerging across human tissues during aging and disease. Integrating single-cell and spatial multi-omics with AI-driven analyses enables systematic mapping of senescent cell heterogeneity (“senotypes”), revealing tissue-specific programs and microenvironmental interactions. These advances provide frameworks for biomarker discovery and development of targeted senotherapeutic strategies.

UR - https://www.scopus.com/pages/publications/105040946630

UR - https://www.scopus.com/pages/publications/105040946630#tab=citedBy

U2 - 10.1016/j.cell.2026.05.028

DO - 10.1016/j.cell.2026.05.028

M3 - Comment/debate

C2 - 42276030

AN - SCOPUS:105040946630

SN - 0092-8674

VL - 189

SP - 3501

EP - 3505

JO - Cell

JF - Cell

IS - 12

ER -

Charting human cellular senescence in aging and disease

Abstract

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