VSTM2L Human

V-Set and Transmembrane Domain Containing 2 Like Human Recombinant
Shipped with Ice Packs
In Stock

Description

Neuroprotection Modulation

  • Humanin (HN) Antagonism:

    • Binds to HN, a 24-residue neuroprotective peptide, blocking its anti-apoptotic effects in Alzheimer’s disease models .

    • Colocalizes with HN in brain neurons and regulates neuronal viability .

Cancer Progression and Ferroptosis Resistance

  • Prostate Cancer (PCa):

    • Acts as an oncogene by inhibiting ferroptosis (iron-dependent cell death).

    • Mechanism: Forms a tripartite complex with VDAC1 (voltage-dependent anion channel 1) and HK2 (hexokinase 2), stabilizing mitochondrial membrane potential and preventing VDAC1 oligomerization .

    • Knockdown induces mitochondrial shrinkage, cristae loss, and lipid peroxidation—hallmarks of ferroptosis .

Molecular InteractionFunctional Outcome
VDAC1-HK2-VSTM2L complexInhibits VDAC1 oligomerization, maintains mitochondrial homeostasis
IL-4 signaling modulationPromotes cell proliferation and CRT resistance in colorectal cancer

Cancer Biomarker Potential

  • Prostate Cancer: High VSTM2L expression correlates with advanced tumor stage and poor prognosis .

  • Rectal Cancer: Overexpression reduces DNA damage (γ-H2AX) and confers resistance to chemoradiotherapy (CRT) .

  • Gastric Cancer: Downregulated in Helicobacter pylori-positive tumors, linked to CpG island methylation phenotype (CIMP) .

Therapeutic Targeting

  • Ferroptosis Induction: Silencing VSTM2L sensitizes PCa cells to RSL3 (a ferroptosis inducer), suggesting therapeutic potential .

  • Immune Modulation: Recombinant VSTM2L inhibits IFN-γ secretion and T-cell activation (ED₅₀: 0.6–6 μg/mL) .

Research Tools and Reagents

Recombinant VSTM2L Protein:

  • Applications: Used in T-cell activation studies and mitochondrial function assays .

  • Specifications:

    • Purity: >95% by SDS-PAGE .

    • Activity: Inhibits IL-2/IFN-γ secretion in anti-CD3-stimulated PBMCs .

Key Research Findings

  1. Dual Role in Cell Survival:

    • Neuroprotection: Antagonizes HN to modulate neuronal apoptosis .

    • Cancer: Promotes tumor growth via ferroptosis suppression and mitochondrial stability .

  2. Mitochondrial Dynamics:

    • Knockdown reduces mitochondrial number, area, and cristae density, mimicking ferroptosis .

  3. Immune Interface:

    • Regulates IL-4 signaling, impacting macrophage polarization and tumor microenvironment .

Future Directions

  • Mechanistic Studies: Elucidate how VSTM2L regulates GPX4 and BH4 levels in ferroptosis .

  • Clinical Trials: Evaluate VSTM2L-targeted therapies in prostate and rectal cancers.

  • Pan-Cancer Analysis: Explore roles in other malignancies, leveraging its association with immune pathways .

Product Specs

Introduction
VSTM2L (V-set and transmembrane domain containing 2) is a protein that has been identified as a regulator of the neuroprotective effects of HN. It is found in the brain, where it co-localizes with HN in specific regions and in primary neuronal cultures. VSTM2L has been shown to modulate neuronal survival and acts as a strong inhibitor of HN's neuroprotective activity in assays. As the first identified secreted antagonist of HN, VSTM2L may be important in controlling HN's biological actions.
Description
Recombinant human VSTM2L, produced in E. coli, is a single, non-glycosylated polypeptide chain that is 205 amino acids long (25-204 a.a.) and has a molecular weight of 22.6 kDa. A 25 amino acid His-tag is fused to the N-terminus of VSTM2L, which is then purified using proprietary chromatographic methods.
Physical Appearance
A clear, sterile solution.
Formulation
VSTM2L protein solution (0.25 mg/ml) in 20mM Tris-HCl buffer (pH 8.0), 20% glycerol, 0.1M NaCl, 1mM DTT, and 0.1mM PMSF.
Stability
The product should be stored at 4°C if it will be used within 2-4 weeks. For longer-term storage, it is recommended to freeze the product at -20°C. Adding a carrier protein (0.1% HSA or BSA) is recommended for long-term storage. Multiple freeze-thaw cycles should be avoided.
Purity
The purity of the product is greater than 90% as determined by SDS-PAGE analysis.
Synonyms
V-set and transmembrane domain-containing protein 2-like protein, VSTM2L, C20orf102, dJ1118M15.2.
Source
E.coli.
Amino Acid Sequence
MGSSHHHHHH SSGLVPRGSH MGSHMTRPAG HAPWDNHVSG HALFTETPHD MTARTGEDVE MACSFRGSGS PSYSLEIQWW YVRSHRDWTD KQAWASNQLK ASQQEDAGKE ATKISVVKVV GSNISHKLRL SRVKPTDEGS YECRVIDFSD GKARHHKVKA YLRVQPGENS VLHLPEAPPA APAPPPPKPG KELRKRSVDQ EACSL.

Q&A

What is VSTM2L and what are its primary biological functions?

VSTM2L, previously known as C20orf102, is a secreted protein that regulates the interleukin (IL)-4 signaling pathway and functions as an antagonist of humanin, a neuroprotective peptide . The protein was identified through interaction studies with humanin and has been shown to modulate neuronal viability .

Methodological approaches for studying VSTM2L function include:

  • Protein-protein interaction assays (yeast two-hybrid, co-immunoprecipitation)

  • Secretion assays in cultured cells

  • Functional antagonism studies against humanin activity

  • Expression analysis across tissues and disease states

VSTM2L's dual involvement in immune pathways and neuroprotection suggests it may serve as a bridge between immune function and neurological processes, making it particularly interesting for researchers in neuroinflammation and neuroimmunology.

What is the expression profile of VSTM2L across normal human tissues?

VSTM2L demonstrates a tissue-specific expression pattern that provides insights into its potential biological roles. Based on GTEx data analysis, VSTM2L mRNA shows widespread but variable expression across normal human tissues .

Tissue TypeVSTM2L Expression Level
SpleenHighest
BrainHigh
PituitaryHigh
Bone MarrowLow
BloodLowest

Methodological approaches for expression profiling:

  • RNA sequencing from GTEx database for transcriptome analysis

  • Immunohistochemistry from Human Protein Atlas for protein validation

  • Comparative expression analysis across multiple databases (GTEx, TCGA)

  • qPCR validation in tissue panels

The high expression in brain and pituitary aligns with findings that VSTM2L antagonizes humanin, a neuroprotective peptide, suggesting specialized functions in the central nervous system .

How does VSTM2L expression vary across different cancer types?

VSTM2L expression shows remarkable heterogeneity across cancer types, with significant implications for its potential role in cancer biology .

Cancer TypeVSTM2L Expression (vs. Normal)Association with Clinical Stage
BRCA, KIRP, LUAD, PAAD, PCPG, PRAD, THCAUpregulatedVariable
COAD, GBM, KICH, KIRC, LUSC, STAD, UCECDownregulatedVariable
STADDownregulatedHigher expression in advanced stages
KIRPUpregulatedHigher expression in early stages

Research methodologies for cancer expression analysis:

  • Integrated analysis of TCGA and GTEx databases

  • Cancer cell line expression from CCLE database

  • Protein validation through immunohistochemistry

  • Correlation with clinical parameters (stage, grade)

These contrasting expression patterns suggest context-dependent roles of VSTM2L in different tumor types, possibly related to tissue-specific signaling pathways or tumor microenvironment interactions .

Which databases and tools are most valuable for VSTM2L research?

Researchers investigating VSTM2L can leverage multiple complementary databases to gain comprehensive insights :

Database/ToolPurposeType of Data Provided
CCLECancer cell line expressionRNA-seq across cell lines
TIMERDifferential expression, immune correlationExpression across 33 TCGA tumor types
TCGACancer expression and clinical dataMulti-omics cancer data
GTExNormal tissue expressionRNA-seq across 31 normal tissues
HPAProtein expressionImmunohistochemistry data
Kaplan-Meier PlotterSurvival analysisPrognostic correlation
GEOValidation cohortsGene expression datasets
TISIDBImmune system interactionsImmunomodulator correlations

Methodological considerations:

  • Data normalization approaches (e.g., log2 conversion for RNA-seq)

  • Integration of multiple data sources for comprehensive analysis

  • Validation across independent cohorts

  • Statistical methods for correlation analysis

This multi-database approach enables robust analysis of VSTM2L across various biological and clinical contexts .

What is known about the interaction between VSTM2L and humanin?

VSTM2L was identified as a novel secreted antagonist of humanin (HN), a 24-residue peptide with protective activity against cytotoxic and neurotoxic insults .

Key experimental findings:

  • VSTM2L interacts with humanin in both yeast and mammalian cell systems

  • VSTM2L is secreted in cultured cells and present in serum

  • VSTM2L colocalizes with humanin in specific brain regions

  • VSTM2L colocalizes with humanin in primary cultured neurons

  • VSTM2L modulates neuronal viability

Methodological approaches for studying this interaction:

  • Protein interaction screening (yeast two-hybrid)

  • Co-immunoprecipitation for validation in mammalian systems

  • Secretion assays to confirm extracellular function

  • Immunofluorescence for colocalization studies

  • Neuronal viability assays to assess functional antagonism

This interaction suggests VSTM2L may play a role in regulating neuroprotective pathways, with potential implications for neurodegenerative conditions like Alzheimer's disease .

How does VSTM2L expression correlate with patient prognosis across different cancer types?

VSTM2L demonstrates remarkable cancer-specific prognostic significance, serving as either a favorable or unfavorable indicator depending on cancer type :

Cancer TypePrognostic Association with High VSTM2LSurvival Parameters Affected
STAD (Stomach Adenocarcinoma)Poor prognosisOS, DSS, PFI, DFI
KIRP (Kidney Renal Papillary Cell Carcinoma)Good prognosisOS, DSS, PFI, DFI
BLCA, DLBC, GBM, KIRC, LUSC, MESO, OV, THCA, THYM, UCEC, UVMPoor prognosisVarious
LGG, PCPGGood prognosisVarious

Advanced methodological approaches:

  • Multivariate Cox regression analysis to control for clinical covariates

  • Time-dependent ROC curve analysis for predictive performance (AUC = 0.692 for VSTM2L in STAD)

  • Kaplan-Meier survival analysis stratified by expression levels

  • Validation in independent GEO cohorts (GSE84437 for STAD, GSE2748 for KIRP)

The contrasting prognostic value of VSTM2L in different cancers suggests distinct biological roles that researchers should consider when designing targeted studies or therapeutic approaches .

What is the relationship between VSTM2L and tumor-infiltrating immune cells?

VSTM2L expression shows significant correlations with tumor-infiltrating immune cells (TIICs) across multiple cancer types, suggesting a role in immune regulation within the tumor microenvironment :

Cancer TypeRelationship with Immune CellsSpecific Correlations
CHOLPositive correlationB cells (r=0.38), macrophages (r=0.46), neutrophils (r=0.48)
LUSCPositive correlationCD4+ T cells (r=0.33), neutrophils (r=0.32), dendritic cells (r=0.34)
LGGNegative correlationCD4+ T cells (r=-0.44), macrophages (r=-0.42), dendritic cells (r=-0.33)
TGCTNegative correlationB cells (r=-0.36), CD8+ T cells (r=-0.41), dendritic cells (r=-0.30)

Methodological considerations:

  • Computational deconvolution of bulk RNA-seq to estimate immune cell fractions

  • Correlation analysis with adjustment for tumor purity

  • Validation using immunohistochemistry or flow cytometry

  • Integration with other immune parameters (checkpoint molecules, cytokines)

These correlations vary substantially across cancer types, suggesting tissue-specific or context-dependent immune regulatory functions of VSTM2L .

How does VSTM2L correlate with immunomodulatory factors across cancer types?

VSTM2L shows significant associations with various immunomodulatory factors, including immunostimulatory and immunoinhibitory molecules :

Immunomodulator TypeCancer Types with Positive CorrelationCancer Types with Negative Correlation
Immunostimulatory factorsCHOL, LUSC, BLCALGG, TGCT, ACC
Immunoinhibitory factorsCHOL, LUSC, BRCALGG, TGCT, PCPG
MHC moleculesCHOL, ESCA, UVMLGG, PAAD, ACC

Methodological approaches:

  • Comprehensive correlation analysis with established immunomodulators

  • Pathway enrichment analysis to identify relevant immune signaling networks

  • Analysis of ImmuneScore and StromalScore correlations

  • Integration with clinical response data where available

The strongest correlations with ImmuneScore were observed in CHOL (r=0.44), LGG (r=-0.4), and LUSC (r=0.39), while StromalScore showed strongest correlations in TGCT (r=0.55), CHOL (r=0.4), and BLCA (r=0.36) .

These patterns suggest VSTM2L may influence the tumor microenvironment through complex interactions with multiple immune regulatory pathways .

What methodological approaches are optimal for investigating VSTM2L as a prognostic biomarker?

Based on the established prognostic value of VSTM2L in multiple cancers, researchers should consider these methodological approaches :

Analysis TypeMethodological ConsiderationsKey Statistical Approaches
Survival analysisMultiple endpoints (OS, DSS, PFI, DFI)Kaplan-Meier curves, log-rank tests
Multivariate analysisControl for clinical covariatesCox proportional hazards models
Stage-specific analysisStratification by tumor stageSubgroup analysis, interaction tests
Independent validationExternal cohortsMeta-analysis, forest plots
Predictive performanceTime-dependent ROC curvesArea under curve (AUC) calculation

Advanced considerations:

  • Integration with established prognostic factors (TNM staging, molecular subtypes)

  • Development of composite prognostic models incorporating VSTM2L

  • Sensitivity analysis for expression cutoff determination

  • Correction for multiple testing when assessing multiple cancer types

For STAD specifically, multivariate Cox regression demonstrated VSTM2L as an independent prognostic marker when compared to clinical characteristics such as primary tumor and lymph node status, with an AUC of 0.692 in ROC analysis .

How can researchers investigate potential mechanisms behind VSTM2L's dual role in cancer prognosis?

VSTM2L's contrasting prognostic associations across cancer types present an intriguing research opportunity :

Cancer ContextResearch DirectionMethodological Approaches
STAD (poor prognosis)Advanced stage correlationPathway analysis, invasion/migration assays
KIRP (good prognosis)Early stage, differentiationDifferentiation markers, cell maturation studies
Immune correlationContext-dependent immune modulationImmune cell co-culture, cytokine profiling
Humanin interactionNeuroprotection pathway involvementHumanin rescue experiments, pathway inhibitors

Comprehensive investigative framework:

  • Comparative transcriptomic analysis between cancers with opposing prognostic associations

  • Protein interaction network analysis to identify tissue-specific binding partners

  • Functional studies with tissue-specific cellular models

  • CRISPR/Cas9 knockout followed by phenotype characterization

  • Patient-derived xenograft models with varying VSTM2L expression levels

Understanding these mechanistic differences could potentially resolve the apparent contradiction in VSTM2L's prognostic role and suggest targeted therapeutic approaches for specific cancer contexts .

What are the optimal experimental methods for studying VSTM2L protein interactions?

Investigating VSTM2L's interactions with humanin and other potential binding partners requires sophisticated protein interaction methodologies :

TechniqueApplication for VSTM2L ResearchTechnical Considerations
Yeast two-hybridInitial screening for interactorsValidated for VSTM2L-humanin interaction
Co-immunoprecipitationValidation in mammalian systemsRequires high-quality antibodies
Pull-down assaysIn vitro interaction confirmationRecombinant protein production
Proximity ligation assayIn situ interaction detectionSpatial resolution in tissue sections
FRET/BRETReal-time interaction dynamicsRequires fluorescent/luminescent tagging

Secretion analysis approaches:

  • Conditioned media analysis with western blotting

  • ELISA development for quantitative measurement

  • Mass spectrometry for secretome profiling

  • Signal peptide analysis and mutation studies

These methodologies have successfully identified VSTM2L as an interactor with humanin and could reveal additional binding partners that might explain its diverse biological functions .

How can researchers effectively analyze VSTM2L's relationship with tumor mutation burden and microsatellite instability?

The relationship between VSTM2L expression and genomic instability markers provides insight into potential mechanisms of action :

Analysis TypeMethodological ApproachData Sources
TMB correlationSpearman correlation analysisTCGA mutation data
MSI correlationSpearman correlation analysisTCGA MSI scores
Cancer-specific patternsSubgroup analysis by cancer typePan-cancer TCGA data
Mechanistic investigationPathway analysis with DNA repair genesIntegrated multi-omics data

Technical considerations:

  • Normalization of TMB scores across cancer types

  • Standardization of MSI calculation methods

  • Multiple testing correction for pan-cancer analysis

  • Integration with other genomic instability markers

What bioinformatic pipelines are most appropriate for analyzing VSTM2L expression across multi-institutional datasets?

Robust bioinformatic approaches are essential for comprehensive VSTM2L analysis :

Analysis StageRecommended ApproachesTechnical Considerations
Data integrationCross-platform normalizationComBat, quantile normalization
Expression analysisDifferential expression testingDESeq2, limma, edgeR
Survival analysisTime-to-event modelingsurvival, survminer R packages
Immune correlationDeconvolution algorithmsCIBERSORT, xCell, MCP-counter
ValidationMeta-analysis of multiple cohortsRandom effects models

Specific pipeline components used in VSTM2L research:

  • Merger of GTEx and TCGA data for comprehensive normal vs. tumor comparison

  • Log2 normalization of RNA-seq data

  • Kaplan-Meier analysis with median expression cutoff

  • Cox regression with clinical covariate adjustment

  • Spearman correlation for immune parameter associations

These approaches have successfully identified the pan-cancer expression patterns and prognostic significance of VSTM2L across multiple independent datasets .

How should researchers design functional studies to investigate VSTM2L's role in neuronal viability?

Based on VSTM2L's identified interaction with the neuroprotective peptide humanin, functional studies should address :

Study TypeExperimental ApproachExpected Outcomes
Loss-of-functionsiRNA/shRNA knockdown in neuronal culturesChanges in viability, stress response
Gain-of-functionOverexpression systems with wildtype/mutant VSTM2LHumanin antagonism effects
Humanin rescueCo-treatment with recombinant humaninReversal of VSTM2L effects
Pathway analysisInhibition of downstream signaling componentsMechanism identification
In vivo modelsConditional transgenic or viral delivery approachesBehavioral and neuropathological changes

Critical methodological considerations:

  • Selection of appropriate neuronal culture systems (primary neurons, neuronal cell lines)

  • Development of quantitative viability and stress response assays

  • Dosage titration to identify physiologically relevant concentrations

  • Temporal analysis to distinguish immediate vs. delayed effects

  • Integration with AD-relevant stressors (Aβ, tau, oxidative stress)

These approaches can help elucidate VSTM2L's potential role in neurodegenerative conditions like Alzheimer's disease through its antagonism of humanin's neuroprotective functions .

What are the best approaches for developing VSTM2L-targeted therapeutics based on current knowledge?

The dual role of VSTM2L in cancer prognosis and neuronal regulation suggests multiple therapeutic strategies :

Therapeutic ApproachApplication ContextDevelopment Considerations
Inhibition strategiesCancers with poor VSTM2L prognosis (STAD)Small molecules, neutralizing antibodies
Enhancement strategiesCancers with good VSTM2L prognosis (KIRP)Recombinant protein, gene therapy
Humanin pathway modulationNeurodegenerative conditionsDisrupting VSTM2L-humanin interaction
Immune modulationCancer immunotherapy combinationContext-dependent approach

Critical development steps:

  • High-throughput screening for small molecule modulators

  • Structure-based design targeting protein-protein interfaces

  • Antibody development with functional validation

  • Cancer-type specific preclinical models

  • Patient stratification biomarkers

Given VSTM2L's context-dependent roles, therapeutic development requires careful consideration of tissue specificity and potential off-target effects across different biological systems .

How might VSTM2L's dual role in cancer and neuroprotection be integrated into a unified biological model?

The seemingly disparate functions of VSTM2L in cancer biology and neuronal regulation present an intriguing research opportunity :

Research DirectionInvestigative ApproachPotential Integration Points
Neuro-immune interfaceCo-culture systems with neurons and immune cellsVSTM2L as immunomodulatory factor in CNS
Cancer neuroscienceAnalysis in neural-derived tumorsVSTM2L in gliomas vs. peripheral tumors
Humanin pathway in cancerHumanin expression across cancer typesCorrelation with VSTM2L prognostic patterns
IL-4 signaling in neuronal functionIL-4 pathway manipulation in neuronsShared signaling with VSTM2L-mediated effects

This integrative approach may uncover shared molecular mechanisms that explain VSTM2L's diverse biological roles and potentially identify novel therapeutic opportunities targeting both cancer and neurological conditions .

What is the current state of research on VSTM2L genetic variants and their clinical significance?

While the search results don't specifically address VSTM2L genetic variants, this represents an important research direction:

Research ApproachMethodological ConsiderationsPotential Outcomes
Germline variant analysisWGS/WES data from population databasesAssociation with disease susceptibility
Somatic mutation analysisTCGA and ICGC mutation dataCancer-specific mutation patterns
eQTL analysisGTEx and other eQTL resourcesVariants affecting expression
Functional variant characterizationCRISPR-based variant introductionPhenotypic consequences

This research area could provide insights into individual variability in VSTM2L expression and function, potentially explaining differential disease susceptibility or treatment response across patient populations.

How can single-cell transcriptomics advance our understanding of VSTM2L's role in the tumor microenvironment?

Single-cell approaches offer unprecedented resolution for investigating VSTM2L in complex tissues:

Single-cell ApproachResearch ApplicationExpected Insights
scRNA-seq of tumorsCell type-specific expressionIdentifying producing and responding cells
Spatial transcriptomicsLocalization within tumor architectureRelationship to vasculature, immune niches
Trajectory analysisDevelopmental or differentiation dynamicsVSTM2L in cellular state transitions
Single-cell proteomicsProtein co-expression patternsVSTM2L protein interactions in specific cells

This high-resolution analysis could resolve apparent contradictions in VSTM2L's roles by identifying specific cellular contexts where it promotes or inhibits tumor progression, potentially leading to more precise therapeutic targeting strategies.

What is the potential role of VSTM2L in response to cancer immunotherapy?

Given VSTM2L's correlations with immune parameters, investigating its role in immunotherapy response represents a promising research direction :

Research DirectionMethodological ApproachPotential Significance
Checkpoint inhibitor responseCorrelation in clinical cohortsBiomarker development
CAR-T efficacyExpression in solid tumorsResistance mechanism
Cancer vaccine responsesAntigen presentation correlationImmunogenicity modulation
Combination therapy approachesPreclinical modelsSynergistic treatment design

The association between VSTM2L and immunomodulatory factors suggests it may influence treatment response through modulation of the tumor immune microenvironment, potentially serving as both a predictive biomarker and therapeutic target in the immunotherapy context .

How might VSTM2L research inform precision medicine approaches across cancer types?

The cancer-specific prognostic patterns of VSTM2L suggest opportunities for precision oncology applications :

Precision Medicine ApplicationImplementation ApproachClinical Impact
Patient stratificationVSTM2L expression testingRisk-adapted treatment selection
Cancer type-specific targetingContext-dependent interventionAvoiding counterproductive effects
Treatment response predictionIntegration with molecular subtypesTherapy optimization
Multi-biomarker panelsCombination with established markersImproved prognostic accuracy

Development considerations:

  • Clinical assay development and validation

  • Integration with existing molecular testing platforms

  • Prospective validation in clinical trials

  • Regulatory pathway for biomarker approval

The dual prognostic nature of VSTM2L emphasizes the importance of cancer-specific approaches in precision medicine, potentially improving patient selection for aggressive treatment regimens or clinical trials .

What are the most critical unresolved questions about VSTM2L that researchers should prioritize?

Despite significant progress in understanding VSTM2L, several fundamental questions remain:

  • What is the molecular mechanism explaining VSTM2L's opposite prognostic roles in different cancers?

  • How does VSTM2L regulate both immune function and neuronal viability?

  • What are the downstream signaling pathways of VSTM2L in different cellular contexts?

  • How does VSTM2L expression change during disease progression?

  • What is the three-dimensional structure of VSTM2L and its complexes with binding partners?

Addressing these questions will require interdisciplinary approaches combining cancer biology, immunology, neuroscience, and structural biology to fully elucidate VSTM2L's complex biological roles .

Product Science Overview

Gene and Protein Structure

VSTM2L is located on chromosome 20 and encodes a 22 kDa extracellular protein . The protein contains an N-terminal signal peptide and an immunoglobulin-like domain with a disulfide bond between specific cysteine residues . This structure is crucial for its function in cell-cell adhesion and interaction.

Function and Biological Role

VSTM2L is predicted to enable cell-cell adhesion mediator activity and is involved in the negative regulation of neuron apoptotic processes . This means that it plays a role in preventing the programmed cell death of neurons, which is essential for maintaining healthy neural networks.

Clinical Significance

Diseases associated with VSTM2L include Bietti Crystalline Corneoretinal Dystrophy, a rare genetic eye disorder . The gene’s role in cell adhesion and neuron survival suggests it could be significant in various neurological conditions, although more research is needed to fully understand its implications.

Research and Applications

VSTM2L is a subject of interest in various research fields, including neuroscience and immunology. Recombinant forms of this protein are used in laboratory settings to study its function and potential therapeutic applications . For instance, ELISA kits are available to quantify VSTM2L in biological samples, which helps in understanding its expression patterns and role in different tissues .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.