VPS16 Gene

VPS16 Gene

Introduction

Vps16 Gene is an important component in the neurobiology of neurodegenerative diseases. This page provides detailed information about its structure, function, and role in disease processes.

Overview

VPS16 Gene

Introduction

Vps16 Gene is an important component in the neurobiology of neurodegenerative diseases. This page provides detailed information about its structure, function, and role in disease processes.

Overview

VPS16 (vacuolar protein sorting 16 homolog) encodes a core tethering factor in the class C VPS machinery that controls late endosome and lysosome fusion. In mammalian cells, VPS16 functions as a scaffold that helps assemble and stabilize membrane-tethering complexes required for cargo progression toward degradation. This places VPS16 at a key control point for neuronal proteostasis, because [neurons](/entities/neurons) depend on efficient endolysosomal flux to clear damaged proteins and organelles.[@steel2020][@van2024]

From a neurodegeneration perspective, VPS16 is relevant because endolysosomal stress is a convergent mechanism across [Alzheimer's disease](/diseases/alzheimers-disease), [Parkinson's disease](/diseases/parkinsons-disease), and related disorders. Impaired late endosome-lysosome fusion can amplify aggregate accumulation, inflammatory signaling, and synaptic vulnerability.[@kaur2018][@mony2020]

Gene Information

<div class="infobox infobox-gene">

| Property | Value |
|---|---|
| Gene Symbol | VPS16 |
| Full Name | Vacuolar Protein Sorting 16 Homolog |
| Chromosomal Location | 20q13.33 |
| NCBI Gene ID | 64601 |
| OMIM | 614464 |
| Ensembl ID | ENSG00000112357 |
| UniProt ID | Q9H269 |
| Core Complex Context | HOPS/CORVET-class tethering machinery |

</div>

Molecular Function

Scaffold role in tethering complexes

Biochemical and structural work shows that VPS16 provides a recruitment platform for SM-family proteins (including VPS33A) within the HOPS architecture, enabling productive docking and fusion of late endosomal and lysosomal membranes.[@graham2013][@van2015] In practical terms, VPS16 helps convert vesicle encounters into fusion-competent events.

Autophagosome-lysosome fusion

VPS16-dependent HOPS activity is needed for completion of macroautophagy, especially the final fusion step that delivers autophagic cargo to acidic lysosomes.[@van2024][@abudu2015] When this step fails, autophagic vacuoles and undegraded substrates accumulate, increasing neuronal stress.

Endolysosomal quality control in neurons

Neurons are particularly sensitive to partial loss of VPS16 pathway capacity because they are long-lived, highly polarized, and generate high membrane-trafficking load. Persistent traffic delay in distal compartments can alter synaptic maintenance and axonal health.[@kaur2018][@ando2022]

Disease Relevance

Mendelian human disease signal

Human genetics has established VPS16 as a disease gene: loss-of-function variants can cause early-onset dystonia with lysosomal abnormalities, and biallelic variants have been linked to a mucopolysaccharidosis-like syndrome with reduced HOPS/CORVET complex levels.[@steel2020][@zahra2021] These disorders provide strong in vivo evidence that VPS16 dosage is biologically critical in the nervous system.

Relevance to common neurodegeneration

Although VPS16 is not a major common-risk locus in [Parkinson's disease](/diseases/parkinsons-disease) or [Alzheimer's disease](/diseases/alzheimers-disease), the pathway it controls overlaps with disease mechanisms involving aggregate-prone proteins such as [SNCA](/genes/snca), [APP](/genes/app), and [MAPT](/genes/mapt). Endolysosomal bottlenecks can increase toxic protein residence time and weaken organelle turnover.[@kaur2018][@mony2020]

Network context with other trafficking genes

VPS16 function is tightly coupled to other vesicle-tethering genes, including [VPS33A](/genes/vps33a) and [VPS41](/genes/vps41). Defects across this module are expected to produce shared phenotypes: impaired cargo maturation, stress-response activation, and selective neuronal vulnerability.[@van2024][@graham2013]

Experimental Readouts and Biomarker Logic

Common laboratory readouts for VPS16-pathway dysfunction include:

In translational studies, these cellular signatures can complement clinical phenotyping to stratify patients with suspected endolysosomal disorders.[@steel2020][@zahra2021]

Therapeutic Implications

Pathway-level rescue strategies

For VPS16-linked dysfunction, plausible intervention strategies include:

These are mechanism-led approaches relevant across multiple neurodegenerative contexts, not just rare VPS16 syndromes.[@kaur2018][@xiao2021]

Precision approaches for rare VPS16 disorders

For confirmed pathogenic VPS16 variants, future options may include variant-specific molecular therapies or gene-dosage correction, but clinical evidence is still limited and remains investigational.[@zahra2021]

Background

The study of Vps16 Gene has evolved significantly over the past decades. Research in this area has revealed important insights into the underlying mechanisms of neurodegeneration and continues to drive therapeutic development.

Historical context and key discoveries in this field have shaped our current understanding and will continue to guide future research directions.

Cross-References

• [VPS33A Gene](/genes/vps33a)
• [VPS41 Gene](/genes/vps41)
• [Autophagy-Lysosomal Dysfunction](/mechanisms/autophagy-lysosomal-dysfunction)
• [Parkinson's Disease](/diseases/parkinsons-disease)
• [Alzheimer's Disease](/diseases/alzheimers-disease)

See Also

• [Genes Index](/genes)
• [Proteins Index](/proteins)
• [Mechanisms Index](/mechanisms)

External Links

• [NCBI Gene: VPS16](https://www.ncbi.nlm.nih.gov/gene/64601)
• [UniProt: VPS16 (Q9H269)](https://www.uniprot.org/uniprotkb/Q9H269/entry)

References

Pathway Diagram

The following diagram shows the key molecular relationships involving VPS16 Gene discovered through SciDEX knowledge graph analysis:

Expression Profile

Sources: [GTEx Portal v10](https://gtexportal.org/home/gene/vps16) | [Allen Brain Atlas](https://www.brain-map.org/)

GTEx Tissue Expression (median TPM)

| Rank | Tissue | Median TPM |
|------|--------|------------|
| 1 | Thyroid | 58.23 |
| 2 | Brain Cerebellum | 57.77 |
| 3 | Uterus | 55.85 |
| 4 | Brain Cerebellar Hemisphere | 54.57 |
| 5 | Cervix Endocervix | 52.02 |
| 6 | Cervix Ectocervix | 51.79 |
| 7 | Fallopian Tube | 51.05 |
| 8 | Spleen | 48.43 |
| 9 | Ovary | 46.07 |
| 10 | Nerve Tibial | 43.33 |
| 11 | Prostate | 43.15 |
| 12 | Lung | 42.65 |
| 13 | Vagina | 39.63 |
| 14 | Small Intestine Terminal Ileum | 37.34 |
| 15 | Adipose Subcutaneous | 36.89 |

Brain-Region Expression:

| Region | Median TPM |
|--------|------------|
| Brain Cerebellum | 57.77 |
| Brain Cerebellar Hemisphere | 54.57 |