MT3 Antibody, Biotin conjugated

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Description

Overview of MT3 Antibody, Biotin Conjugated

MT3 antibody, biotin conjugated, is a specialized immunological reagent designed for detecting Metallothionein 3 (MT3), a 68-amino acid protein involved in heavy metal binding and neuroprotection. The biotin conjugation enhances sensitivity in immunoassays by enabling amplification via streptavidin- or avidin-based detection systems. This antibody is critical in studies of neurodegenerative diseases like Alzheimer’s, where MT3 expression is reduced .

ELISA

MT3 antibody (biotin) is used in sandwich ELISA kits, where it serves as the detection antibody. For example:

  1. Capture Antibody: Pre-coated anti-MT3 on a 96-well plate .

  2. Detection: Biotin-conjugated anti-MT3 binds to MT3, followed by HRP-streptavidin and TMB substrate .

  3. Sensitivity: Detects MT3 concentrations as low as 0.1–1 ng/mL .

Validation Data (ELISA):

ParameterValueSource
Intra-assay CV (%)4.69–5.23
Inter-assay CV (%)4.68–5.23
Recovery Rate (%)85–105 (serum/plasma)

Immunohistochemistry (IHC)

Biotin-conjugated MT3 antibodies enable precise localization in tissue sections:

  • Protocol: Primary antibody incubation (1:50–100 dilution) → Biotinylated secondary → Streptavidin-HRP → DAB substrate .

  • Applications: Brain tissue analysis to study MT3 downregulation in Alzheimer’s .

Western Blotting

StepDetails
Antibody Dilution0.5–2 µg/mL (WB)
DetectionStreptavidin-HRP + ECL substrate
ApplicationsQuantify MT3 expression in cell lysates or tissue homogenates

Neurodegenerative Disease Studies

  • Alzheimer’s Disease: MT3 antibodies are used to study reduced MT3 expression in astrocytes, linking its loss to neurodegeneration .

  • Signal Amplification: Biotin conjugation enhances detection sensitivity in IHC, critical for low-expression targets like MT3 .

Technical Advantages

FeatureBenefit
Biotin-Streptavidin BindingHigh-affinity interaction ensures minimal nonspecific binding .
MultiplexingCompatible with CyTOF or fluorescence-based workflows .
StabilityBiotin conjugates retain antibody activity under standard storage conditions .

Challenges and Considerations

  1. Endogenous Biotin: Tissues with high biotin content (e.g., liver) may require blocking steps to reduce background .

  2. Cross-Reactivity: Polyclonal antibodies may bind non-specific epitopes; validation with negative controls is essential .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We typically dispatch orders within 1-3 working days of receipt. Delivery times may vary depending on the shipping method and destination. Please contact your local distributor for specific delivery time estimates.
Synonyms
GIF antibody; GIFB antibody; GRIF antibody; Growth inhibitory factor antibody; Metallothionein 3 (growth inhibitory factor (neurotrophic)) antibody; Metallothionein 3 antibody; Metallothionein III antibody; Metallothionein-3 antibody; Metallothionein-III antibody; Mt 3 antibody; MT III antibody; MT-3 antibody; MT-III antibody; MT3 antibody; MT3_HUMAN antibody; ZnMT3 antibody
Target Names
MT3
Uniprot No.

Target Background

Function
Metallothionein-3 (MT3) binds heavy metals, specifically containing three zinc and three copper atoms per polypeptide chain with minimal cadmium content. In vitro studies have shown that MT3 inhibits the survival and neurite formation of cortical neurons.
Gene References Into Functions
  1. A study suggests that polymorphisms in the MT3 gene are not associated with autism. PMID: 29524106
  2. Emerging research highlights the roles of zinc dynamics and MT3 function in neurodegeneration. This review focuses on recent advancements in the chemistry and biology of MT3. [review] PMID: 28538697
  3. The C-terminal domain of MT3 promotes dome formation in MCF-7 cells and induces expression of the GAGE family of genes. The differential effects of MT3 and metallothionein 1E on GAGE gene expression suggest unique roles for these genes in breast cancer development and progression. PMID: 28545470
  4. Expression of MT-3 mRNA in breast cancer cell lines was significantly lower than in normal human breast epithelial cells. These findings suggest that MT-3 may play a role in malignant transformation of breast epithelial cells and tumor progression. PMID: 27840910
  5. The epidermis of human skin and resulting malignancies express high levels of MT-3. PMID: 25290577
  6. This study implicates the unique C-terminal sequence of MT-3 in the conversion of HK-2 cells to display an enhanced epithelial phenotype. PMID: 25803827
  7. MT3 may regulate breast cancer cell invasiveness by modulating the expression of MMP3. PMID: 25933064
  8. The presence of MT-3 in the zona glomerulosa of pathological adrenal cortex suggests a potential role in the pathophysiology of aldosterone-producing tissues. PMID: 24242700
  9. MT-3 increases the amount of active ADAM10 in association with furin, PC7, and PKCalpha. PMID: 24859040
  10. Upregulation of MT-3 gene expression can inhibit esophageal cancer cell proliferation and induce apoptosis. PMID: 24222235
  11. Experimental evidence indicates that MT3 is an androgen-upregulated gene and promotes tumorigenesis of prostate carcinoma cells. PMID: 23794209
  12. The molecular mechanism for protection against neuronal cytotoxicity of Abeta(1-42) with copper ions is investigated. PMID: 23086305
  13. MT-III expression may have an impact on the pathogenesis of non-small cell lung cancer. PMID: 23482768
  14. MT-3 modulates the catalytic redox properties of PrP-Cu(II). PMID: 22615124
  15. Esophageal adenocarcinomas are frequently characterized by epigenetic silencing of MT3. PMID: 21818286
  16. Metallothionein-III is a specific component of glial cytoplasmic inclusions and is upregulated in multiple system atrophy. PMID: 20039155
  17. This review explores the roles of zinc and metallothionein-3 in autophagy and/or lysosomal function. PMID: 20974010
  18. MT-3 expression is involved in the transport function of a human renal cell line that retains properties of the proximal tubule. PMID: 11849386
  19. Overexpression of human metallothionein-III prevents hydrogen peroxide-induced oxidative stress in human fibroblasts. "metallothionein-III " PMID: 12067712
  20. Overexpression of metallothionein-III can influence the growth and chemotherapeutic drug resistance of the PC-3 prostate cancer cell line. PMID: 12111700
  21. Hypermethylation of metallothionein-3 CpG island in gastric carcinoma is observed. PMID: 12538345
  22. Metallothionein-III has anticarcinogenic and neuroprotective roles in cells exposed to gamma rays. PMID: 15190073
  23. The effect of MT3 on cell viability is explored, which may explain why the comprehensive effect of MT3 on cells has been elusive. PMID: 16087360
  24. Analysis of the epitope of neuronal growth inhibitory factor (GIF) is presented. PMID: 16336778
  25. MT3 expression is frequently down-regulated in esophageal squamous cell carcinoma due to DNA methylation, but this is not a prognostic indicator. PMID: 16351731
  26. Mutation of MT3 at Glu23 may alter NO metabolism and/or affect zinc homeostasis in the brain, thus altering neuronal growth inhibitory activity. PMID: 16945328
  27. The alpha-domain is essential and plays a crucial role in modulating the stability of the metal cluster in the beta-domain through domain-domain interactions, influencing the bioactivity of hMT3. PMID: 17712581
  28. The level of MT-3 expression in human proximal tubular cells influences transepithelial resistance and cadherin expression, but not the Cd(+2)-induced loss of vectorial active transport. PMID: 18182399
  29. MT-3 is a highly hypoxia-inducible gene in human adipocytes; the protein may protect adipocytes from hypoxic damage. PMID: 18206644
  30. These results suggest that MT-III upregulates VEGF production in brain endothelial cells through a HIF-1alpha-dependent mechanism. PMID: 18295594
  31. The structure adopted by the (6)CPCP(9) motif is the determining factor of the inhibitory bioactivity of hGIF; however, residues within the N-terminal fragment may also influence peptide conformation and contribute to the protein's bioactivity. PMID: 18533104
  32. Metallothionein-III-induced activation of phosphatidylinositol 3-kinase/Akt and extracellular signal-regulated kinase1/2 up-regulates expression and activity of heme oxygenase-1, providing protection against oxidative damage in dopaminergic cells. PMID: 18554677
  33. The bioactivity of hGIF is primarily related to essential metal release and its characteristic conformation. PMID: 18757100
  34. Metallothionein in decidual cells appears to be responsible for the proper coexistence between decidual cells and activated immune cells that infiltrate both eutopic and ectopic decidua during cesarean section and placental abruption. PMID: 18782281
  35. This study investigated the binding of Zn(2+), Ca(2+), and Mg(2+) to human Zn(7)MT-3 and its mutant lacking an acidic hexapeptide insert, Zn(7)MT-3(Delta55-60), and compared it to the binding of Zn(7)MT-2. PMID: 19425569
  36. Results provide insights into domain-domain interaction at the molecular level, shedding new light on the mechanism of human neuronal growth inhibitory factor bioactivity. PMID: 19490120
  37. This study examined the reaction/binding of cisplatin and transplatin with MT-3 and MT-2 initially bound with zinc, including kinetics and stoichiometry of the reactions. PMID: 19536566
  38. Weak expression of MT3 is observed in pancreatic serous cystadenomas, while increased expressions are seen in adenomocarcinomas, suggesting its potential as a prognostic marker. PMID: 19578815

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Database Links

HGNC: 7408

OMIM: 139255

KEGG: hsa:4504

STRING: 9606.ENSP00000200691

UniGene: Hs.73133

Protein Families
Metallothionein superfamily, Type 1 family
Tissue Specificity
Abundant in a subset of astrocytes in the normal human brain, but greatly reduced in the Alzheimer disease (AD) brain.

Q&A

What is MT3 and what are its key biological characteristics?

Metallothionein 3 (MT3) is a protein encoded by the MT3 gene that belongs to the metallothionein protein superfamily. In humans, the canonical MT3 protein has 68 amino acid residues and a molecular mass of approximately 6.9 kDa . MT3 is also known by several alternative names including GIFB, GRIF, ZnMT3, and growth inhibitory factor .

Unlike other metallothioneins, MT3 expression exhibits tissue specificity, being notably expressed in a subset of astrocytes in the normal human brain . MT3's primary biological function involves binding heavy metals, particularly zinc and copper, contributing to metal homeostasis and detoxification in neural tissues. Significantly, MT3 expression is greatly reduced in Alzheimer's disease brains, suggesting potential roles in neuroprotection and neurodegeneration processes .

What distinguishes biotin-conjugated MT3 antibodies from unconjugated versions?

Biotin-conjugated MT3 antibodies feature covalently attached biotin molecules that enable signal amplification through the strong binding affinity between biotin and streptavidin/avidin proteins. This conjugation provides several research advantages:

  • Enhanced sensitivity in detection systems compared to unconjugated antibodies

  • Greater flexibility in experimental design through compatibility with multiple detection systems

  • Ability to be used in multiple labeling experiments with minimal cross-reactivity

  • Compatibility with a wide range of visualization methods including colorimetric, fluorescent, and chemiluminescent detection systems

Biotin-conjugated MT3 antibodies maintain their target specificity while offering improved signal-to-noise ratios in applications such as immunohistochemistry, Western blotting, and immunofluorescence .

How should researchers store and handle biotin-conjugated MT3 antibodies to maintain optimal activity?

Proper storage and handling of biotin-conjugated MT3 antibodies is crucial for maintaining their activity and specificity:

Storage ParameterRecommended ConditionRationale
Temperature-20°CPrevents protein degradation and maintains biotin stability
AliquotingSmall working volumesMinimizes freeze-thaw cycles which can degrade antibody
BufferPBS pH 7.4 with 50% glycerolStabilizes protein structure and prevents freezing damage
Preservative0.05% Proclin-300Prevents microbial contamination without antibody degradation
Freeze-thaw cyclesAvoid repeated cyclesEach cycle can reduce antibody activity by 10-15%
Working solutionPrepare fresh and keep at 4°CEnsures optimal binding capacity during experiments

Always centrifuge the product briefly before opening the cap to ensure the solution is at the bottom of the tube. When diluting for experimental use, use freshly prepared buffers and maintain sterile conditions to prevent contamination .

What are the validated applications for biotin-conjugated MT3 antibodies in research?

Biotin-conjugated MT3 antibodies have been validated for multiple research applications, with specific methodological considerations for each:

ApplicationValidated UseTypical Dilution RangeKey Methodological Consideration
Western Blotting (WB)Yes0.5-2 μg/mlUse non-reducing conditions when possible
Immunohistochemistry (IHC)Yes5-20 μg/mlAntigen retrieval crucial for formalin-fixed tissues
Immunofluorescence (IF/ICC)Yes5-20 μg/mlLow background fluorophore-conjugated streptavidin recommended
ELISAYesApplication dependentOptimize blocking to prevent non-specific binding
Dot BlotPotentiallySimilar to WBUse appropriate membrane and blocking conditions

The optimal working dilution should always be determined experimentally by the investigator for each specific application and tissue type .

What protocol modifications are necessary when using biotin-conjugated MT3 antibodies in immunohistochemistry?

When using biotin-conjugated MT3 antibodies for immunohistochemistry, several protocol modifications are necessary:

  • Endogenous biotin blocking: Prior to primary antibody incubation, block endogenous biotin using avidin/biotin blocking kits, particularly crucial for biotin-rich tissues like liver, kidney, and brain.

  • Antigen retrieval optimization: MT3 epitopes may require specific retrieval methods:

    • Heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes

    • Alternative use of EDTA buffer (pH 8.0) if citrate buffer yields weak signals

    • Enzymatic retrieval with proteinase K (10 μg/ml) for 10 minutes at room temperature for certain tissue preparations

  • Detection system selection: Use streptavidin-HRP or streptavidin-AP conjugates rather than secondary antibody-based systems.

  • Signal development modification: Extend development time (typically 5-10 minutes) but monitor closely to prevent over-development and background.

  • Control implementation: Include both positive controls (known MT3-expressing tissues) and negative controls (primary antibody omission and isotype controls) to validate specificity .

What are the recommended protocols for optimizing Western blotting with biotin-conjugated MT3 antibodies?

Optimizing Western blotting protocols for biotin-conjugated MT3 antibodies requires attention to several critical parameters:

  • Sample preparation:

    • Use RIPA buffer supplemented with protease inhibitors

    • Include chelating agents (EDTA, 1-5 mM) to preserve metal-binding state

    • Heat samples at 70°C rather than boiling to preserve MT3 structure

  • Gel selection and transfer:

    • Use higher percentage gels (15-20%) to resolve the small 6.9 kDa MT3 protein

    • Consider tricine-SDS-PAGE for better low molecular weight resolution

    • Transfer to PVDF membrane at lower voltage (30V) overnight for small proteins

  • Blocking optimization:

    • Use 5% non-fat milk or 3% BSA in TBST

    • Add 0.05% Tween-20 to reduce background

    • Block for 2 hours at room temperature or overnight at 4°C

  • Antibody concentration:

    • Start with 1 μg/ml working concentration

    • Perform serial dilutions (0.5-2 μg/ml) to determine optimal concentration

    • Incubate overnight at 4°C for maximum sensitivity

  • Detection system:

    • Use high-sensitivity streptavidin-HRP conjugates (1:2000-1:5000)

    • Extended wash steps (5 x 5 minutes) to reduce background

    • Consider enhanced chemiluminescent substrates for maximum sensitivity

What are common causes of high background when using biotin-conjugated MT3 antibodies and how can they be resolved?

High background is a common challenge when using biotin-conjugated antibodies. Several causes and solutions specific to MT3 detection include:

ProblemPotential CauseSolution
Diffuse background stainingEndogenous biotin in tissue samplesImplement avidin-biotin blocking step before antibody incubation
Non-specific bindingInsufficient blockingIncrease blocking time and concentration; try alternative blocking agents (BSA, normal serum)
Speckled backgroundAntibody aggregationCentrifuge antibody before use; filter through 0.22 μm filter
Edge stainingDrying of sectionsEnsure sections remain hydrated throughout the protocol
High background in brain tissueCross-reactivity with other metallothionein isoformsPre-absorb antibody with recombinant MT1/MT2 proteins
Inconsistent stainingInconsistent antigen retrievalStandardize antigen retrieval conditions; consider automated systems

Additionally, when working with brain tissue, where MT3 is primarily expressed, consider using antigen retrieval buffers specifically optimized for neural tissues and extend washing steps (4-5 washes of 10 minutes each) to reduce background signal .

How can researchers distinguish between specific and non-specific MT3 signal in experimental data?

Distinguishing specific from non-specific MT3 signal requires implementation of multiple controls and analytical approaches:

  • Essential experimental controls:

    • Positive tissue controls: Use tissues with known MT3 expression (e.g., specific brain regions) to confirm antibody functionality

    • Negative tissue controls: Use tissues known to lack MT3 expression (e.g., certain peripheral tissues) to identify background

    • Absorption controls: Pre-incubate antibody with recombinant MT3 protein to block specific binding

    • Isotype controls: Use non-specific antibodies of the same isotype and host species to identify non-specific binding

    • Secondary-only controls: Omit primary antibody to detect non-specific binding of detection system

  • Signal pattern analysis:

    • Specific MT3 staining should match known subcellular localization (primarily cytoplasmic with some nuclear)

    • Expression should correlate with known tissue distribution (highest in brain, particularly hippocampus and cerebellum)

    • Signal intensity should correlate with MT3 expression levels reported in literature

  • Quantitative approaches:

    • Calculate signal-to-noise ratios to objectively evaluate staining quality

    • Compare signal intensity across multiple samples to identify consistent patterns

    • Use digital image analysis to quantify signal in specific regions of interest

What strategies can resolve inconsistent signal intensities with biotin-conjugated MT3 antibodies?

Inconsistent signal intensities are a common challenge in MT3 detection. Several methodological approaches can improve consistency:

  • Standardize sample preparation:

    • Use consistent fixation times and conditions across all samples

    • Prepare all tissue sections at identical thickness

    • Process all experimental samples in parallel

  • Optimize antibody performance:

    • Titrate antibody concentration using a dilution series (0.5-20 μg/ml)

    • Compare lot-to-lot performance when receiving new antibody shipments

    • Aliquot antibody upon receipt to avoid repeated freeze-thaw cycles

  • Modify detection protocol:

    • Extend primary antibody incubation time (overnight at 4°C)

    • Use signal amplification systems like tyramide signal amplification (TSA)

    • Standardize development times for chromogenic detection

  • Implement internal controls:

    • Include standardization tissue on each slide/blot

    • Process all experimental conditions simultaneously

    • Use automated staining systems when possible to reduce variability

  • Data normalization:

    • Normalize signal to internal controls or housekeeping proteins

    • Use digital image analysis with consistent thresholding parameters

    • Perform multiple technical replicates to establish representative signal values

How can MT3 antibodies be optimally employed to investigate neurodegenerative diseases?

MT3 antibodies provide valuable tools for investigating neurodegenerative conditions, particularly Alzheimer's disease, where MT3 (originally identified as growth inhibitory factor) shows decreased expression. Optimal research approaches include:

  • Comparative expression analysis:

    • Analyze MT3 expression in post-mortem brain tissues from control, mild cognitive impairment, and Alzheimer's disease subjects

    • Correlate MT3 levels with disease severity markers (Braak staging, amyloid load)

    • Examine region-specific changes in hippocampus, cortex, and cerebellum

  • Cell-type specific analysis:

    • Use dual immunofluorescence with biotin-conjugated MT3 antibody and cell-type markers:

      • GFAP for astrocytes

      • NeuN for neurons

      • Iba1 for microglia

    • Quantify changes in cell-type specific expression with disease progression

  • Functional studies in model systems:

    • Employ MT3 antibodies in brain slice cultures to track MT3 expression after experimental manipulation

    • Use in transgenic mouse models of neurodegeneration to monitor dynamic changes

    • Apply in primary neuronal and glial cell cultures to study regulation mechanisms

  • Interaction with pathological markers:

    • Perform co-localization studies with:

      • Amyloid-β plaques

      • Tau tangles

      • Oxidative stress markers

    • Analyze proximity ligation assays to detect protein-protein interactions

What methodological approaches facilitate studying MT3's role in metal homeostasis?

MT3's metal-binding properties make it a crucial protein in neuronal metal homeostasis. Specialized methodological approaches to investigate this function include:

  • Metal-protein interaction analysis:

    • Immunoprecipitate MT3 with biotin-conjugated antibodies followed by inductively coupled plasma mass spectrometry (ICP-MS) to analyze bound metals

    • Use synchrotron X-ray fluorescence microscopy with immunolocalization to map MT3-associated metals in tissue sections

    • Employ metal-binding competition assays to assess MT3 metal preferences

  • Functional manipulation strategies:

    • Apply MT3 antibodies in live cell systems to block extracellular MT3 function

    • Combine with metal chelators or metal supplementation to assess functional relationships

    • Use in metal uptake/efflux assays to determine MT3's role in metal transport

  • Oxidative stress response assessment:

    • Measure MT3 expression changes following oxidative challenges

    • Quantify reactive oxygen species in systems with normal versus altered MT3 levels

    • Assess neuroprotective effects against metal-induced toxicity

  • Imaging approaches:

    • Use fluorescent metal sensors in combination with MT3 immunofluorescence

    • Apply super-resolution microscopy to visualize subcellular localization of MT3 relative to metal storage compartments

    • Employ electron microscopy with immunogold labeling to detect MT3 at ultrastructural level

How can multiplexing techniques be optimized when using biotin-conjugated MT3 antibodies?

Multiplexing techniques allow simultaneous detection of MT3 with other proteins of interest. Optimized approaches include:

  • Sequential multiplexing with biotin-conjugated MT3 antibody:

    • Complete one staining cycle with biotin-conjugated MT3 antibody

    • Strip or inactivate detection system (e.g., hydrogen peroxide or glycine-HCl treatment)

    • Proceed with subsequent antibody staining cycles

    • Use different chromogens for each cycle (DAB, AEC, Fast Red) or spectrally distinct fluorophores

  • Parallel multiplexing strategies:

    • Use different host species for each primary antibody

    • Detect with species-specific secondary antibodies

    • Reserve biotin-streptavidin system for lowest expressed target (often MT3)

    • Use tyramide signal amplification for additional sensitivity

  • Specialized multiplexing technologies:

    • MultiOmyx™ system: Permits 60+ rounds of staining on the same tissue section

    • Mass cytometry (CyTOF): Metal-tagged antibodies for highly multiplexed analysis

    • Imaging mass cytometry: Combines mass spectrometry with tissue imaging

  • Analysis considerations for multiplexed data:

    • Apply spectral unmixing algorithms to separate overlapping signals

    • Use co-localization coefficients (Pearson's, Mander's) to quantify associations

    • Implement machine learning approaches for pattern recognition in complex datasets

What are the most effective approaches for quantifying MT3 expression levels across different experimental systems?

Accurate quantification of MT3 expression is essential for comparative studies. The most effective approaches include:

MethodBest ApplicationQuantification ApproachConsiderations
Western BlottingProtein level expressionDensitometry normalized to loading controlsLimited by antibody specificity and sensitivity
qRT-PCRmRNA expressionΔΔCt method with validated reference genesDoesn't reflect post-transcriptional regulation
ELISASoluble protein quantificationStandard curve with recombinant MT3Requires highly specific antibodies
ImmunohistochemistryTissue expression patternsDigital image analysis of staining intensitySemi-quantitative; requires standardization
Flow CytometrySingle-cell protein levelsMean fluorescence intensityLimited to cell suspensions
Mass SpectrometryAbsolute protein quantificationMultiple reaction monitoring with isotope standardsHighest accuracy but technically demanding

For optimal quantification in biotin-conjugated MT3 antibody applications:

  • Calibration strategies:

    • Use recombinant MT3 protein standards in parallel with experimental samples

    • Create standard curves with known concentrations

    • Include spike-in controls to assess recovery efficiency

  • Normalization approaches:

    • Normalize to total protein (BCA, Bradford assays)

    • Use multiple housekeeping proteins as references

    • Implement global normalization techniques for -omics approaches

  • Statistical considerations:

    • Perform power analysis to determine appropriate sample sizes

    • Apply appropriate statistical tests based on data distribution

    • Account for biological and technical variability in experimental design

What criteria should researchers consider when selecting between different biotin-conjugated MT3 antibodies?

Selecting the appropriate biotin-conjugated MT3 antibody requires evaluation of several technical and experimental factors:

Selection CriteriaImportanceEvaluation Method
Validated applicationsCriticalCheck manufacturer data sheets and literature citations
Host speciesImportant for multiplexingSelect based on compatibility with other antibodies in experiment
ClonalityAffects specificityMonoclonal for specific epitopes, polyclonal for robust detection
ImmunogenDetermines epitope recognitionFull-length protein vs. peptide; synthetic vs. native
Purification methodAffects specificityAntigen-affinity purified antibodies typically have higher specificity
Reactivity with species of interestEssentialVerify cross-reactivity with experimental model organism
Concentration and formulationAffects stabilityHigher concentration and glycerol-containing formulations typically more stable

When comparing commercially available options, review literature citations specific to your application and consider preliminary validation experiments with small quantities of different antibodies before committing to larger purchases .

What experimental validation steps should be performed when using a new MT3 antibody?

When implementing a new biotin-conjugated MT3 antibody in research, several validation steps should be performed:

  • Initial characterization:

    • Confirm reactivity by Western blot using recombinant MT3 protein

    • Verify molecular weight detection at approximately 6.9 kDa

    • Test cross-reactivity with related metallothionein family members (MT1, MT2, MT4)

  • Application-specific validation:

    • For IHC/IF: Confirm staining pattern matches known MT3 distribution

    • For WB: Verify single band at expected molecular weight

    • For ELISA: Establish standard curve linearity and detection limits

  • Biological validation:

    • Compare staining in tissues with known high expression (brain) versus low expression

    • Validate with genetic controls (knockout/knockdown versus overexpression)

    • Confirm responsiveness to physiological regulators (heavy metals, oxidative stress)

  • Technical optimization:

    • Determine optimal antibody concentration through titration experiments

    • Establish appropriate incubation conditions (time, temperature)

    • Identify optimal detection systems for each application

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