gene

P16

Entity Detail — Knowledge Graph Node

Understanding Entity Pages

This page aggregates everything SciDEX knows about P16: its mechanistic relationships (Knowledge Graph edges), hypotheses targeting it, analyses mentioning it, and supporting scientific papers. The interactive graph below shows its immediate neighbors. All content is AI-synthesized from peer-reviewed literature.

429Connections

4Hypotheses

4Analyses

50Outgoing

50Incoming

0Experiments

5Debates

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🧬 Gene Info

Gene Symbol	P16
Primary Expression	Ca1, Thalamus, Hypothalamus
Pathways	Cell Cycle, Dna Methylation, Angiogenesis, Histone Modification, Epigenetic
GeneCards	P16
Human Protein Atlas	P16
Associated Diseases	Aging, ALS, Alzheimer, Cancer, Epilepsy, glioblastoma
Interactions	ACETYL-COA, Actin, AGING, AKT, ALZHEIMER, ALZHEIMER'S DISEASE
KG Connections	425 knowledge graph edges
Databases	GeneCards UniProt NCBI Gene HPA STRING

Wiki Pages (1)

Knowledge base pages for this entity

CEP164 — Centrosomal Protein 164

gene · 1460 words

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Pathway Diagram

graph TD
    P16["P16"]
    Senescence{"Senescence"}
    P16 -->|"activates"| Senescence
    Aging{"Aging"}
    P16 -->|"activates"| Aging
    Als{"Als"}
    P16 -->|"therapeutic_target"| Als
    Cancer{"Cancer"}
    P16 -->|"therapeutic_target"| Cancer
    AGING(["AGING"])
    AGING -->|"activates"| P16
    ERK(["ERK"])
    ERK -->|"activates"| P16
    CDKN2A(["CDKN2A"])
    CDKN2A -.->|"inhibits"| P16
    GENES(["GENES"])
    GENES -.->|"inhibits"| P16
    style P16 fill:#1a3a4a,stroke:#ce93d8,stroke-width:3px,color:#e0e0e0

Outgoing (271)

Target	Relation	Type	Str
Senescence	activates	disease	0.95
SENESCENCE	associated_with	gene	0.90
Als	therapeutic_target	disease	0.85
High-Grade Serous Ovarian Cancer	biomarker_for	disease	0.85
Aging	activates	disease	0.85
Tumor	inhibits	disease	0.75
Tumor	therapeutic_target	disease	0.75
Cancer	therapeutic_target	disease	0.75
Senescence	therapeutic_target	disease	0.75
Senescence	inhibits	disease	0.75
RB1	regulates	protein	0.70
glioblastoma	associated_with	disease	0.70
OPC senescence	activates	phenotype	0.70
P21	regulates	gene	0.70
senescent microglia	biomarker_for	cell_type	0.70
DNA	therapeutic_target	gene	0.70
AKT	activates	gene	0.70
Cell Cycle	activates	pathway	0.70
Longevity	activates	disease	0.65
Parkinson	inhibits	disease	0.65
Melanoma	therapeutic_target	disease	0.65
Cancer	regulates	disease	0.65
Glioblastoma	therapeutic_target	disease	0.65
Senescence	expressed_in	disease	0.65
Osteoarthritis	therapeutic_target	disease	0.65
ALS	biomarker_for	disease	0.65
Parkinson	activates	disease	0.65
Ms	activates	disease	0.65
Alzheimer	associated_with	disease	0.65
Alzheimer	activates	disease	0.65
Aging	inhibits	disease	0.65
Als	regulates	disease	0.65
Infection	therapeutic_target	disease	0.65
Ms	therapeutic_target	disease	0.65
Aging	associated_with	disease	0.65
Aging	regulates	disease	0.65
Als	expressed_in	disease	0.65
Fibrosis	activates	disease	0.65
Tumor	activates	disease	0.65
Inflammation	therapeutic_target	disease	0.65
Senescence	associated_with	disease	0.65
Ataxia	activates	disease	0.65
Tumor	associated_with	disease	0.65
Als	activates	disease	0.65
Tumor	interacts_with	disease	0.65
Carcinoma	treats	disease	0.65
Pulmonary Fibrosis	inhibits	disease	0.65
Inflammation	inhibits	disease	0.65
Cancer	treats	disease	0.65
Senescence	biomarker_for	disease	0.65

Incoming (158)

Source	Relation	Type	Str
P53	activates	gene	0.70
CDKN2A	inhibits	gene	0.70
GENES	inhibits	gene	0.70
AGING	activates	gene	0.70
ERK	activates	gene	0.70
CYTOKINES	activates	gene	0.60
MYOD	regulates	gene	0.60
ROS	treats	gene	0.60
OXIDATIVE STRESS	treats	gene	0.60
MET	activates	gene	0.60
ONCOGENES	activates	gene	0.60
MAPK	activates	gene	0.60
EGFR	activates	gene	0.60
SMAD4	activates	gene	0.60
MICRORNAS	activates	gene	0.60
NRF2	activates	gene	0.60
CYCLIN D1	contributes_to	gene	0.60
MDM2	contributes_to	gene	0.60
GENES	associated_with	gene	0.60
INFLAMMATION	therapeutic_target	gene	0.60
TP53	associated_with	gene	0.60
CDK4	regulates	gene	0.60
RNF2	regulates	gene	0.60
RB1	regulates	gene	0.60
ATM	activates	gene	0.60
MITOCHONDRIA	activates	gene	0.60
ACETYL-COA	activates	gene	0.60
BNIP3	activates	gene	0.60
DNA	activates	gene	0.60
IL-6	regulates	gene	0.60
RNA	inhibits	gene	0.60
MICROGLIA	activates	gene	0.60
AND	regulates	gene	0.60
P21	inhibits	gene	0.60
TERC	regulates	gene	0.60
GENES	regulates	gene	0.60
TERT	regulates	gene	0.60
INFLAMMATION	regulates	gene	0.60
CYTOKINES	regulates	gene	0.60
PI3K	treats	gene	0.60
P53	regulates	gene	0.60
MITOCHONDRIAL DYSFUNCTION	treats	gene	0.60
PSP	regulates	gene	0.60
GAL	treats	gene	0.60
NEURODEGENERATION	regulates	gene	0.60
ALZHEIMER	activates	gene	0.60
IL-1	activates	gene	0.60
RNA	activates	gene	0.60
MURF1	regulates	gene	0.60
IL1B	activates	gene	0.60

Targeting Hypotheses (4)

Hypotheses where this entity is a therapeutic target

Hypothesis	Score	Disease	Analysis
p16^INK4a-CCF Axis as Senolytic Timing Biomarker	0.805	molecular-biology	What is the optimal therapeutic window t
Dasatinib plus Quercetin Senolytic Clearance of p16Ink4a-Hig	0.680	neurodegeneration	-
Timed Senolytic Therapy Eliminates p16^Ink4a/p21^Cip1-Senesc	0.564	neuroinflammation	What molecular mechanisms drive the tran
Selective Microglial Senescence Targeting via P16INK4A-Guide	0.000	-	Senescent cell clearance as neurodegener

Mentioning Analyses (4)

Scientific analyses that reference this entity

What specific gene expression signatures in aging mouse brain predict human AD v

neurodegeneration | 2026-04-12 | 0 hypotheses

Can P16INK4A expression reliably distinguish harmful from beneficial senescent m

neurodegeneration | 2026-04-11 | 0 hypotheses

How can senescent microglia be molecularly distinguished from beneficial activat

neurodegeneration | 2026-04-06 | 7 hypotheses Top: 0.720

Senolytic therapy for age-related neurodegeneration

neurodegeneration | 2026-04-01 | 15 hypotheses Top: 0.822

Experiments (0)

Experimental studies targeting or related to this entity

Experiment	Type	Disease	Score	Feasibility	Model	Status	Est. Cost
No experiments found

Related Papers (1)

Scientific publications cited in analyses involving this entity

Title & PMID	Authors	Journal	Year	Citations
UNC93B1 promotes pancreatic cancer progression through modulation of cGAS-STING [PMID:41716413]	Yang H, Li Y, Su J, Zhang H, Zhu W et al	Front Immunol	2026	0

Debates (5)

Multi-agent debates referencing this entity

Hypothesis debate: SASP-Mediated Complement Cascade Amplification

closed · Rounds: 4 · Score: 0.40 · 2026-04-27

The debate revealed that microglial senescence markers are poorly defined compar

closed · Rounds: 4 · Score: 0.72 · 2026-04-22

The debate proposed P16INK4A-guided targeting but the Skeptic noted microglia ex

closed · Rounds: 4 · Score: 0.50 · 2026-04-18

The debate was structured to identify aging-neurodegeneration mechanisms using A

closed · Rounds: 4 · Score: 0.50 · 2026-04-18

Senolytics targeting p16/p21+ senescent astrocytes and microglia may reduce SASP

closed · Rounds: 4 · Score: 0.89 · 2026-04-06

Related Research

Hypotheses and analyses mentioning P16 in their description or question text

No additional research found