⚙ How is this computed? Methods: Lifespan Analysis
Longevity & Aging

Longevity mechanisms

Four programs from Tyshkovskiy et al., Cell 2023, tagged by whether they move with, against, or apart from aging. Genes come from the page catalog. Same genes as a scatter: Relationship.

SP121 · RELATED HALLMARK CONTEXT

SP121 hallmark context

Published hallmark aggregates shown next to the four literature programs. Related context only — not a mechanism score.

Open matched SP121 atlas Open Hallmarks
1,246,365cells
10systems
47tissues
107cell types
Interpretation boundary. Rankings reuse mean values from the published hallmark signature set. Scores from different hallmark signatures are not directly comparable. Cell-type rankings require at least 100 cells; links appear only when atlas routing metadata matches both the exact label and cell count.
01

IGF1 / Insulin Signaling Downregulation

Nutrient-sensing hallmark context, not an IGF-inhibition assay.

Related hallmark

Deregulated nutrient sensing

18/18 genes
Top systems
  1. Nervous system n=255,483
    0.162 mean 97.8% non-zero
  2. Endocrine system n=119,655
    0.155 mean 98.9% non-zero
  3. Reproductive system n=90,020
    0.141 mean 98.6% non-zero
Top cell types
  1. Glandular cells n=724
    0.223 mean 100.0% non-zero
  2. Adipocytes n=11,862
    0.215 mean 99.7% non-zero
  3. Hepatocytes n=2,712
    0.215 mean 98.1% non-zero
02

Mitochondrial Translation & Biogenesis Up

Mitochondrial-dysfunction context, not a biogenesis assay.

Related hallmark

Mitochondrial dysfunction

18/19 genes
Top systems
  1. Motor system n=62,054
    0.174 mean 98.7% non-zero
  2. Reproductive system n=90,020
    0.159 mean 99.7% non-zero
  3. Urinary system n=45,640
    0.159 mean 97.7% non-zero
Top cell types
  1. Hematopoietic stem and progenitor cells n=780
    0.229 mean 100.0% non-zero
  2. Cardiomyocytes n=4,328
    0.215 mean 100.0% non-zero
  3. Proximal tubule cells n=5,808
    0.206 mean 98.6% non-zero
03

DNA Repair & Proteostasis

Damage-maintenance hallmarks, not a repair-rate assay.

Related hallmark

Loss of proteostasis

20/20 genes
Top systems
  1. Motor system n=62,054
    0.316 mean 100.0% non-zero
  2. Sensory system n=25,247
    0.262 mean 100.0% non-zero
  3. Urinary system n=45,640
    0.260 mean 99.8% non-zero
Top cell types
  1. Enteric glial cells n=973
    0.404 mean 100.0% non-zero
  2. Homeostatic chondrocytes n=4,518
    0.400 mean 100.0% non-zero
  3. Tendon cells n=334
    0.335 mean 100.0% non-zero
Related hallmark

Genomic instability

18/18 genes
Top systems
  1. Immune system n=376,788
    0.107 mean 93.9% non-zero
  2. Endocrine system n=119,655
    0.097 mean 96.1% non-zero
  3. Respiratory system n=70,218
    0.090 mean 96.0% non-zero
Top cell types
  1. Cycling T cells n=208
    0.215 mean 100.0% non-zero
  2. Cycling gastric epithelial cell n=168
    0.174 mean 100.0% non-zero
  3. Cycling B cells n=6,763
    0.165 mean 98.9% non-zero
Related hallmark

Telomere attrition

13/14 genes
Top systems
  1. Nervous system n=255,483
    0.041 mean 64.5% non-zero
  2. Immune system n=376,788
    0.040 mean 63.5% non-zero
  3. Reproductive system n=90,020
    0.040 mean 69.8% non-zero
Top cell types
  1. Cycling B cells n=6,763
    0.078 mean 84.9% non-zero
  2. Cycling T cells n=208
    0.075 mean 93.8% non-zero
  3. Megakaryocyte erythrocyte progenitors n=329
    0.064 mean 89.1% non-zero
04

Innate Immune Response

Inflammation/communication context; does not split surveillance from inflammaging.

Related hallmark

Chronic inflammation

19/19 genes
Top systems
  1. Urinary system n=45,640
    0.105 mean 94.7% non-zero
  2. Sensory system n=25,247
    0.100 mean 97.3% non-zero
  3. Immune system n=376,788
    0.098 mean 96.3% non-zero
Top cell types
  1. Monocytes n=77,497
    0.195 mean 100.0% non-zero
  2. Kupffer cells n=1,957
    0.190 mean 99.7% non-zero
  3. Neutrophils n=21,396
    0.162 mean 99.9% non-zero
Related hallmark

Altered intercellular communication

19/19 genes
Top systems
  1. Sensory system n=25,247
    0.091 mean 98.0% non-zero
  2. Motor system n=62,054
    0.085 mean 97.7% non-zero
  3. Urinary system n=45,640
    0.078 mean 97.3% non-zero
Top cell types
  1. Platelets n=814
    0.131 mean 99.9% non-zero
  2. Enteric glial cells n=973
    0.108 mean 98.8% non-zero
  3. Cycling T cells n=208
    0.095 mean 99.5% non-zero
Hallmark context from the published SP121 overlay.

#1 — IGF1 / Insulin Signaling Downregulation

Reinforcing longevity ↓ · aging ↓ — longevity & aging move the same way (shared downregulation)

Downregulation of Igf1 and the insulin/IGF-1 axis is the single most universal longevity signature, seen across tissues and species. Strikingly, it also declines with age — the paper's clearest example that not every age-related change is detrimental: long-lived species and aged organisms shift the same way.

Representative genes (6)
IGF1 long↓ age↓ GH/IGF1 - insulin signaling PMID
IGF1R long↓ age↓ GH/IGF1 - insulin signaling PMID
IRS2 long↓ age↓ Insulin signaling PMID
ACE long↓ age↓ Renin-angiotensin system PMID
SIRT3 long↑ age↓ Mitochondrial sirtuin PMID
KLOTHO long↑ age↓ Anti-aging hormone / phosphate & IGF1 PMID

#2 — Mitochondrial Translation & Biogenesis Up

Counteracting longevity ↑ · aging ↓ — longevity mechanisms oppose the age-related decline

Upregulated mitochondrial translation is a shared, universal longevity mechanism. Mitochondrial mass and biogenesis (PGC-1α, mitochondrial sirtuins) tend to decline with age — so longevity programs are enriched precisely for functions that aging runs down, i.e. they counteract the aging trajectory.

Representative genes (4)
PPARGC1A long↑ age↓ Mitochondrial biogenesis PMID
NAMPT long↑ age↓ NAD+ biosynthesis PMID
SIRT1 long↑ age↓ NAD+/sirtuin - proteostasis PMID
SIRT3 long↑ age↓ Mitochondrial sirtuin PMID

#3 — DNA Repair & Proteostasis (Proteolysis) Up

Counteracting longevity ↑ · aging ↓ — longevity mechanisms oppose the age-related decline

Long-lived species are enriched for evolutionarily ancient essential genes involved in proteolysis, DNA repair and PI3K-Akt signaling. Chaperones, the proteasome, telomere maintenance and NAD+/sirtuin systems all rise in longevity programs but decline with age — longevity restores the very machinery aging erodes.

Representative genes (7)
NAMPT long↑ age↓ NAD+ biosynthesis PMID
SIRT1 long↑ age↓ NAD+/sirtuin - proteostasis PMID
SIRT3 long↑ age↓ Mitochondrial sirtuin PMID
KLOTHO long↑ age↓ Anti-aging hormone / phosphate & IGF1 PMID
HSPA1A long↑ age↓ Proteostasis / proteolysis PMID
PSMA5 long↑ age↓ Proteolysis / proteasome PMID
TERT long↑ age↓ Telomere maintenance PMID

#4 — Innate Immune Response

Divergent longevity ↑ · aging ↑ (adaptive vs inflammaging) — species longevity diverges from intervention logic

The most species-distinct mechanism: innate immune / complement genes are UP in some long-lived species (whales, naked mole-rat) — proposed as adaptive clearance of damaged or precancerous cells. Yet these same genes rise with age as chronic "inflammaging", and lifespan-extending interventions DOWN-regulate them. Longevity and aging overlap in direction but diverge in meaning — and differ from intervention logic.

Representative genes (4)
IL6 long↑ age↑ Innate immunity / inflammaging PMID
NFKB1 long↑ age↑ NF-kB / innate immunity PMID
C3 long↑ age↑ Complement / innate immunity PMID
TLR4 long↑ age↑ Innate immunity PMID

▸ Counteracting-suppression markers  (longevity opposes an age-driven rise)

mTOR ↓/↑ MTOR / nutrient sensing
Rapamycin target; activity low for longevity but rises with age. PMID ↗
GDF15 ↓/↑ Inflammation / stress (hormokine)
Rises with age/stress; longevity keeps it low. PMID ↗
CRP ↓/↑ Inflammation (clinical)
Long-lived populations show low CRP; CRP rises with age. PMID ↗
CD28 ↑/↓ Immunosenescence
CD28+ T cells retained in long-lived; loss marks senescent T cells. PMID ↗
SASP ↓/↑ Cellular senescence
Senescent secretome reduced by longevity programs, accumulates with age. PMID ↗
Sources & method. Mechanisms and directions curated from Tyshkovskiy et al., Cell 2023, Distinct longevity mechanisms across and within species and their association with aging (PMID 37269831, 41-species multi-tissue RNA-seq + 92 aging-dataset meta-analysis) and Gladyshev-lab longevity signatures. Per-gene directions (change in long-lived species versus change with age) come from the pinned gene catalog for this module; representative PubMed links are class-level reviews unless otherwise noted. Class tags derive from the sign of the two directions (reinforcing/counteracting) plus mechanism semantics (divergent for innate immunity).