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Senotypes define the diverse landscape of senescent cells

delete2026-07-29
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PRE
AI
M
Marissa J. Schafer
N
Nathan Basisty
A
Ann V. Hertzel
A
Alexandra N. Rindone
J
Jennifer H. Elisseeff
V
Vidyani Suryadevara
C
Constantin Aliferis
P
Paul D. Robbins
L
Laura J. Niedernhofer
K
Karl N. Miller
P
Peter D. Adams
V
Vilas Menon
H
Hemali Phatnani
J
João F. Passos
B
Birgit Schilling
S
Simon Melov
N
Nicola Neretti *
D
Darren J. Baker *
DOI:10.1038/s43587-026-01148-5delete
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Abstract

Abstract

En 中文
Cellular senescence was initially defined in vitro as a stable cell-cycle arrest that occurs after repeated replication, but it is now recognized as a heterogeneous state shaped by cell type, species, senescence-inducing stress, tissue microenvironment and time. To organize this complexity, we propose the term ‘senotype’ to classify senescent cells by their inputs, molecular features and functional effects. We outline a practical framework incorporating: (1) cell identity and context; (2) inducing mechanism; (3) temporal stage; (4) multimodal molecular and structural features; and (5) physiological or pathological functions. Experimentally defined senotypes can serve as references for interpreting tissue-derived senotypes, where parameters may be incomplete. Senotypes should be anchored in combinations of core hallmarks (that is, durable cell-cycle arrest, altered secretory profiles, macromolecular or organelle damage, disrupted homeostasis) rather than single markers. Advances in single-cell, spatial, proteomic and computational methods enable rigorous senotype characterization, improving consistency and accelerating development of targeted senotherapeutics. This Perspective proposes a senotype framework for classifying senescent cells by their origins, molecular features and effects, which will foster comparison of diverse senescent states, including those with adaptive or maladaptive functions.

Journal

Nature Aging cover
Nature Aging
IF:
19.4
Papers:
1.2K
Citations:
6.4K

Organization

S
sanford burnham prebys mdi
Scholars:
20
Papers: 2
Citations: 1
N
national institutes of health
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2.8K
Papers: 802
Citations: 0
M
mayo clinic
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8.0W
Papers: 6.5W
Citations: 84
S
school of medicine
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3.5K
Papers: 1.2K
Citations: 0
C
columbia university irving medical center
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443
Papers: 134
Citations: 0
J
johns hopkins university
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8.9K
Papers: 3.4K
Citations: 1
B
Buck Institute for Research on Aging
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1.5K
Papers: 914
Citations: 3.9K
B
brown university
Scholars:
3.9K
Papers: 1.8K
Citations: 0
U
university of minnesota
Scholars:
3.2K
Papers: 1.5K
Citations: 0
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