tnfaip8l2a Antibody

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Description

Overview of TNFAIP8L2

TNFAIP8L2 is a member of the TNFAIP8 family, which includes four proteins (TNFAIP8, TNFAIP8L1, TNFAIP8L2, and TNFAIP8L3) implicated in immune regulation, apoptosis, and cancer progression . Key characteristics include:

  • Gene Location: Chromosome 1 (NCBI Gene ID: 79626) .

  • Function: Predicted to negatively regulate T cell activation and inflammatory responses .

  • Structure: Contains a conserved death effector domain (DED) homologous to FLIP, enabling interactions with apoptotic signaling pathways .

Role of TNFAIP8L2 in Disease

TNFAIP8L2 is differentially expressed in cancers and inflammatory conditions. Recent findings highlight its dual roles:

Disease ContextMechanismClinical Relevance
GliomaUpregulated TNFAIP8L2 correlates with poor prognosis and immune infiltration .AUC = 0.948 for diagnostic accuracy, outperforming other family members .
Immune DysregulationModulates immune checkpoints (e.g., ADORA2A) and infiltrating immune cells .Linked to immunosuppressive tumor microenvironments in glioma .
Colitis-Associated CancerTNFAIP8 family knockout mice exhibit exacerbated inflammation and tumor growth .Reduced TNFAIP8L2 expression correlates with colorectal cancer recurrence .

Antibody Development and Applications

While no commercially available antibody specific to TNFAIP8L2 is explicitly detailed in the provided sources, insights can be inferred from related TNFAIP8 family antibodies:

Key Antibody Features for TNFAIP8 Family Members

Antibody TargetHost SpeciesApplicationsKey Findings
TNF-alpha (MAB2103)RabbitWestern blot, neutralization assaysNeutralizes TNF-alpha-induced cytotoxicity (ND₅₀: 1–10 ng/mL) .
TNFAIP8 (Prostate Cancer)N/AImmunohistochemistry (IHC)Nuclear TNFAIP8 overexpression predicts prostate cancer recurrence (HR: 2.44) .
TIPE (Colitis Model)MouseIHC, apoptosis assaysTIPE deficiency accelerates colitis-associated colon cancer via NF-κB/STAT3 .

Research Implications for TNFAIP8L2 Antibodies

Hypothetical applications of TNFAIP8L2-specific antibodies include:

  • Diagnostic Use: Detecting TNFAIP8L2 overexpression in glioma biopsies to predict patient outcomes .

  • Functional Studies: Investigating TNFAIP8L2’s interaction with karyopherin alpha2 (KPNA2) in nuclear trafficking .

  • Therapeutic Targeting: Neutralizing TNFAIP8L2 to reverse immunosuppression in tumors .

Challenges and Future Directions

  • Specificity: Cross-reactivity with other TNFAIP8 family members must be minimized.

  • Validation: Antibodies require rigorous testing in diverse models (e.g., xenografts, immune-deficient mice) .

  • Clinical Translation: Correlate antibody-based TNFAIP8L2 detection with WHO tumor grade and IDH status in gliomas .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
tnfaip8l2a antibody; si:dkey-24a7.9 antibody; zgc:136816 antibody; Tumor necrosis factor antibody; alpha-induced protein 8-like protein 2 A antibody; TIPE2 A antibody; TNF alpha-induced protein 8-like protein 2 A antibody; TNFAIP8-like protein 2 A antibody
Target Names
tnfaip8l2a
Uniprot No.

Target Background

Function
TNFαIP8L2A Antibody acts as a negative regulator of both innate and adaptive immunity, maintaining immune homeostasis. It negatively regulates the function of Toll-like receptors and T-cell receptors, preventing hyperresponsiveness of the immune system and preserving immune balance. Furthermore, TNFαIP8L2A Antibody inhibits the activation of jun/ap1 and NF-kappa-B, and promotes Fas-induced apoptosis.
Database Links

KEGG: dre:723996

UniGene: Dr.825

Protein Families
TNFAIP8 family, TNFAIP8L2 subfamily

Q&A

Basic Research Questions

  • What is TNFAIP8L2 and what biological functions does it serve in experimental models?

TNFAIP8L2 (Tumor Necrosis Factor Alpha-Induced Protein 8-Like 2) acts as a negative regulator of innate and adaptive immunity, maintaining immune homeostasis by regulating Toll-like receptor and T-cell receptor signaling . In experimental systems, TNFAIP8L2 plays multiple critical roles:

FunctionPathway AffectedMechanismReference
Immune regulationInnate immunityNegative regulation of TLR signaling
Immune regulationAdaptive immunityNegative regulation of T-cell receptor
RAC1 pathway modulationGTPase signalingDirect binding to GTP-bound RAC1
Autophagy modulationMTOR pathwayCompetition with MTOR for RAC1 binding

When designing experiments to investigate TNFAIP8L2 function, researchers should consider both its direct effects on immune signaling and its cross-regulatory role in autophagy pathways, as these functions may be context-dependent depending on cell type and experimental conditions.

  • What antibody-based detection methods are most effective for studying TNFAIP8L2 expression?

Multiple antibody-based techniques can effectively detect TNFAIP8L2 expression, each with specific advantages:

TechniqueApplicationMethodological ConsiderationsValidated For
Western Blot (WB)Protein expression quantificationUse 20-50μg total protein; positive control recommendedHuman, Mouse, Rat
Immunofluorescence (IF)Subcellular localizationFixation protocol affects epitope accessibilityHuman, Mouse, Rat
Immunoprecipitation (IP)Protein-protein interactionsPre-clearing lysates reduces backgroundHuman
ELISAQuantitative detection in solutionStandard curve validation essentialHuman
Immunocytochemistry (ICC)Cellular expression patternsPermeabilization optimization neededHuman, Mouse, Rat

For consistent results across experiments, researchers should implement rigorous validation protocols including antibody titration experiments, appropriate positive and negative controls, and confirmation with multiple antibodies targeting different epitopes when possible .

  • What validation steps are essential before using a TNFAIP8L2 antibody in zebrafish studies?

When adapting TNFAIP8L2 antibodies for zebrafish research, several critical validation steps are required:

Validation StepMethodologyExpected Outcome
Cross-reactivity testingWestern blot comparing human/mouse samples with zebrafishConfirmation of expected band at predicted molecular weight
Epitope sequence alignmentBioinformatic comparison of antibody epitope with zebrafish orthologMinimum 70-80% sequence identity in epitope region
Specificity verificationComparison with tnfaip8l2a-deficient zebrafish controlsAbsence of signal in knockout controls
Application optimizationTitration experiments for each specific applicationDetermination of optimal antibody concentration
Positive control testingUse of tissues known to express tnfaip8l2a (e.g., immune tissues)Presence of signal in expected tissues

While commercial antibodies often target human or mouse proteins, careful validation can identify those that cross-react with zebrafish tnfaip8l2a. Generating zebrafish-specific antibodies may be necessary if cross-reactivity cannot be established .

Intermediate Research Questions

  • How can researchers effectively differentiate between specific and non-specific binding in TNFAIP8L2 immunostaining experiments?

Distinguishing specific from non-specific binding is crucial for accurate TNFAIP8L2 immunostaining:

StrategyImplementation MethodAnalytical Approach
Knockout/knockdown controlsCRISPR/Cas9-mediated knockout or siRNA knockdownCompare staining patterns between wildtype and TNFAIP8L2-deficient samples
Peptide competitionPre-incubation of antibody with immunizing peptideSpecific signal should be eliminated while background remains
Multiple antibodiesUse antibodies targeting different TNFAIP8L2 epitopesOverlapping signals indicate specific detection
Signal quantificationDigital image analysis with background subtractionStatistical comparison of signal-to-noise ratios
Isotype controlsMatched non-specific antibody of same isotypeIdentifies Fc receptor-mediated binding

For zebrafish studies specifically, researchers should compare staining in wildtype fish versus tnfaip8l2a mutants generated using CRISPR/Cas9. The complete absence of signal in mutants provides strong evidence for antibody specificity .

  • What experimental approaches can determine if TNFAIP8L2 antibodies detect both inactive and active conformations of the protein?

TNFAIP8L2 function involves interactions with GTP-bound RAC1, suggesting potential conformational changes. To assess if antibodies detect all protein states:

ApproachMethodologyInterpretation
Immunoprecipitation under different conditionsCompare IP efficiency in resting vs. stimulated cellsChanges may indicate conformation-specific detection
RAC1 activation/inhibitionCompare antibody binding when RAC1 is constitutively active or inactiveDifferential detection suggests conformation specificity
Domain-specific antibodiesTest antibodies against different TNFAIP8L2 domainsMay identify regions exposed in different conformational states
Proximity ligation assayCompare antibody-based detection with known interaction partnersValidates detection of functionally relevant conformations
Native vs. denaturing conditionsCompare detection under native PAGE vs. SDS-PAGEDifferences suggest conformation-dependent epitopes

Understanding whether an antibody detects specific conformational states is particularly important when studying the RAC1-MTORC1 competitive binding interactions of TNFAIP8L2 .

  • How can researchers optimize TNFAIP8L2 antibody-based assays to study autophagy regulation?

Given TNFAIP8L2's role in autophagic lysosome reformation (ALR), optimizing antibody-based assays for autophagy studies requires:

Optimization StrategyTechnical ImplementationMeasurement Parameter
Starvation-refeeding protocolsSubject cells to nutrient deprivation followed by refeedingMonitor TNFAIP8L2 localization changes during autophagy cycle
Co-localization studiesDouble immunostaining with autophagy markers (LC3, p62)Quantify TNFAIP8L2 association with autophagic structures
MTOR activity correlationParallel detection of TNFAIP8L2 and phospho-S6KAnalyze temporal relationship between TNFAIP8L2 expression and MTOR activity
RAC1-binding dependencyCompare wildtype vs. RAC1-binding mutantsDetermine whether RAC1 interaction affects TNFAIP8L2 localization
Tissue-specific expression analysisCompare autophagy-active vs. inactive tissuesCorrelate TNFAIP8L2 levels with autophagic status in different tissues

When designing these experiments, researchers should note that TNFAIP8L2 overexpression leads to defects in MTOR reactivation and disrupts autophagy flux, potentially leading to cell death .

Advanced Research Questions

  • What methodological approaches can resolve contradictory data when studying TNFAIP8L2's dual role in MTOR inhibition and autophagy impairment?

TNFAIP8L2 presents a paradox by inhibiting MTOR (which should induce autophagy) yet impairing autophagy flux. To resolve this contradiction:

Methodological ApproachExperimental DesignData Integration Strategy
Temporal analysisTrack MTOR activity and autophagy markers at multiple timepointsEstablish sequence of events and potential feedback loops
Subcellular fractionationIsolate lysosomes, autophagosomes, and cytosolic fractionsDetermine compartment-specific effects of TNFAIP8L2
Nutrient-specific responsesCompare amino acid vs. glucose starvation effectsIdentify pathway-specific responses to different autophagy triggers
Structure-function analysisGenerate domain-specific TNFAIP8L2 mutantsMap domains responsible for MTOR inhibition vs. autophagy impairment
Interactome analysisMass spectrometry of TNFAIP8L2 complexes under different conditionsIdentify context-dependent binding partners

These approaches can help reconcile the seemingly contradictory observation that TNFAIP8L2 suppresses MTOR activity yet fails to induce autophagy flux during starvation, instead impairing autophagic lysosome reformation .

  • How can researchers design dual-labeling experiments to study TNFAIP8L2's relationship with macrophage polarization states?

Based on research in zebrafish models, macrophage polarization studies require sophisticated dual-labeling approaches:

Experimental DesignTechnical ImplementationAnalysis Method
Sequential immunostainingFirst TNFAIP8L2 labeling followed by M1/M2 markersQuantify co-expression percentages in different populations
Dual reporter systemsTransgenic mpeg1:mCherry + tnfa:GFP zebrafish linesLive imaging of macrophage polarization dynamics
Flow cytometry panelMulti-color antibody panel with TNFAIP8L2 and polarization markersQuantitative population analysis with statistical validation
Single-cell sequencingSorted macrophages with TNFAIP8L2 expression analysisCorrelation of TNFAIP8L2 levels with polarization gene signatures
Conditional knockout systemsCell-type specific TNFAIP8L2 deletionCompare polarization marker expression (tnfa, il1b vs. tgfb1, ccr2)

When analyzing results, researchers should note that in zebrafish, tnfa-positive macrophages express other M1 markers (il1b, il6), while tnfa-negative macrophages express M2 markers (tgfb1, ccr2, cxcr4b), providing a framework for classifying polarization states .

  • What technical considerations are critical when using antibodies to study the competitive binding between TNFAIP8L2 and MTOR for RAC1?

To effectively study the competitive binding dynamics between TNFAIP8L2, MTOR, and RAC1:

Technical ConsiderationImplementation StrategyAnalytical Approach
Antibody epitope selectionChoose antibodies that don't interfere with binding interfacesValidate that antibodies don't block protein-protein interactions
Sequential immunoprecipitationFirst IP with anti-RAC1, then analyze TNFAIP8L2/MTOR ratioQuantitative comparison across experimental conditions
Concentration titrationVary TNFAIP8L2 expression levels experimentallyDetermine threshold effects on MTOR-RAC1 binding
GTPase-state specificityUse RAC1 mutations mimicking GTP-bound (Q61L) or GDP-bound (T17N) statesConfirm nucleotide-state dependency of interactions
In situ proximity detectionProximity ligation assay for RAC1-TNFAIP8L2 vs. RAC1-MTORDirect visualization of competitive binding in intact cells

This approach acknowledges that TNFAIP8L2 competes specifically with MTOR for binding to the GTP-bound state of RAC1, enabling precise characterization of this regulatory mechanism .

  • How can researchers integrate antibody-based detection with functional assays to establish causality in TNFAIP8L2-mediated inflammatory processes?

Integrating detection with functional outcomes requires multi-parameter experimental design:

Integration StrategyMethodological ImplementationCausal Analysis Approach
Rescue experimentsReintroduce wildtype or mutant TNFAIP8L2 in knockout modelsDetermine which domains/functions restore normal phenotype
Temporal interventionInducible expression/deletion systems with time-course samplingEstablish sequence of molecular events preceding phenotypic changes
Domain-specific mutantsTarget specific functional domains while preserving othersMap specific functions to inflammatory outcomes
Cell-type specific manipulationConditional knockout in specific immune cell populationsDetermine cell-autonomous vs. non-autonomous effects
Inflammatory challenge modelsLPS challenge in wildtype vs. TNFAIP8L2-deficient systemsMeasure multiple inflammatory parameters (cytokines, tissue damage)

Research has shown that TNFAIP8L2 deficiency exacerbates inflammatory responses and lung injury in LPS-induced mouse endotoxemia models by affecting MTOR activity . Similar approaches in zebrafish could establish whether tnfaip8l2a serves comparable functions.

  • What strategies can researchers employ to distinguish between direct and indirect effects of TNFAIP8L2 on T cell activation when using antibody-based detection?

TNFAIP8L2's negative regulation of T cell receptor signaling requires careful experimental design:

Discrimination StrategyExperimental ApproachAnalytical Method
Direct binding assaysPull-down experiments with purified proteinsIdentify direct protein-protein interactions
Signaling time-courseAntibody-based detection at multiple timepoints after T cell stimulationEstablish sequence of molecular events
Pathway inhibitionSelective inhibitors for downstream signaling componentsDetermine pathway dependencies
Protein-protein proximityFRET or BiFC between TNFAIP8L2 and TCR componentsVisualize direct interactions in living cells
Structure-function analysisMutate specific TNFAIP8L2 domainsMap functional regions required for T cell regulation

In adaptive immunity studies, researchers should examine both cell-intrinsic effects (direct impact on T cell signaling) and cell-extrinsic effects (altered cytokine environment due to TNFAIP8L2's role in other immune cells) .

  • How can researchers effectively design antibody panels to study the intersection of TNFAIP8L2 function and CD4+/CD8+ T cell responses in protective immunity?

Based on recent findings linking T cells and antibodies to protection against infection , researchers should design comprehensive antibody panels:

Panel Design StrategyTechnical ImplementationAnalytical Consideration
Multi-parameter flow cytometry10+ color panel including TNFAIP8L2, T cell subset markers, activation markersHierarchical gating strategy with statistical analysis
Mass cytometry (CyTOF)30+ parameter panel for deep phenotyping with TNFAIP8L2High-dimensional data analysis (tSNE, UMAP)
Single-cell proteomicsAntibody-based detection at single-cell resolutionCorrelation of TNFAIP8L2 with functional readouts
Multicolor confocal microscopyTissue sections with T cell zone focusSpatial relationship analysis in lymphoid tissues
Intracellular cytokine stainingCombine TNFAIP8L2 with cytokine detectionFunctional correlation with cytokine production

When designing these panels, researchers should include markers for both effector function (cytokines, effector molecules) and memory phenotypes (CD45RA/RO, CCR7) to comprehensively characterize how TNFAIP8L2 influences different aspects of T cell-mediated immunity .

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