DRG1 Antibody, Biotin conjugated

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Description

Applications and Performance

The biotin-conjugated DRG1 antibody is validated for multiple techniques, with optimized dilutions:

ApplicationDilution RangeKey Use Case
ELISA1:1,000Quantitative DRG1 detection in serum/lysates .
Western Blot1:100–500Protein band visualization via chemiluminescence .
Immunohistochemistry1:10–50Localization in formalin-fixed tissues .
Flow Cytometry1:10–50Cell-surface or intracellular DRG1 staining .

Conjugation Methodology

The biotinylation process typically involves:

  1. Enzymatic Tagging: Use of biotin ligase (e.g., BirA) to attach biotin to a short acceptor peptide (e.g., AviTag™) fused to the antibody .

  2. Chemical Conjugation: Direct biotin labeling via amine-reactive biotin esters, though this method is less common in commercial kits .

  3. Quality Control: ≥90% biotinylation efficiency confirmed through streptavidin-binding assays .

This conjugation strategy ensures consistent performance in downstream assays, such as pull-down experiments or diagnostic workflows .

Research Findings

  • Functional Role: DRG1 is implicated in tumor suppression, with reduced expression observed in adenocarcinomas compared to normal tissues .

  • Therapeutic Potential: DRG1-linked pathways are under investigation for cancer therapies, leveraging biotinylated antibodies for targeted drug delivery .

  • Technical Validation: Comparative studies show biotin-streptavidin systems achieve signal amplification comparable to enzyme-linked conjugates (e.g., HRP), with superior multiplexing flexibility .

Comparative Analysis

Biotin-conjugated DRG1 antibodies offer distinct advantages over conventional labels:

FeatureBiotin-Conjugated DRG1 AntibodyFluorophore-Conjugated Antibody
Signal AmplificationHigh (via streptavidin-enzyme/fluorophore) Moderate (direct fluorescence)
Multiplexing FlexibilityCompatible with multiple streptavidin labels Limited by spectral overlap
Cost EfficiencyLower (single antibody, multiple labels) Higher (multiple antibodies required)

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We are typically able to ship your orders within 1-3 business days of receipt. Delivery times may vary depending on your location and chosen shipping method. Please consult your local distributor for specific delivery timelines.
Synonyms
Developmentally regulated GTP binding protein 1 antibody; Developmentally-regulated GTP-binding protein 1 antibody; DKFZp434N1827 antibody; DRG 1 antibody; DRG-1 antibody; DRG1 antibody; DRG1_HUMAN antibody; NEDD 3 antibody; NEDD-3 antibody; NEDD3 antibody; Neural precursor cell expressed developmentally down regulated protein 3 antibody; Neural precursor cell expressed developmentally down-regulated protein 3 antibody
Target Names
DRG1
Uniprot No.

Target Background

Function
DRG1 catalyzes the conversion of GTP to GDP through hydrolysis of the gamma-phosphate bond in GTP. It exhibits an intrinsic GTPase activity that is stimulated by ZC3H15/DFRP1 binding, potentially by increasing the affinity for potassium ions. Hydroxylation at C-3 of Lys-22 by JMJD7 may enable DRG1 to bind to RNA and contribute to translation. DRG1 binds to microtubules, promoting their polymerization and stability, which are essential for mitotic spindle assembly during the transition from prophase to anaphase. Importantly, GTPase activity is not required for these microtubule-related functions.
Gene References Into Functions
  1. DRG1 plays a significant role in spindle checkpoint signaling. Elevated DRG1 levels have been linked to lung adenocarcinoma and taxol resistance. PMID: 27626498
  2. DRG-1 is crucial for melanoma cell growth and transformation, suggesting that it may serve as a target for CD4(+) T cell-mediated immunotherapy in melanoma. PMID: 25993655
  3. Lerepo4's action does not affect Drg1's affinity for nucleotides, potentially favoring a switch I reorientation, primarily via the TGS domain. PMID: 23711155
  4. Drg-1 is considered a candidate metastasis suppressor gene for prostate cancer and may serve as a valuable prognostic marker. PMID: 12702552
  5. Our findings strongly suggest a functional role for the Drg-1 gene in suppressing the metastatic progression of human breast cancer. PMID: 15184886
  6. The tumor metastasis suppressor gene Drg-1 effectively inhibits metastasis of prostate tumor cells by hindering their invasive capabilities through the downregulation of ATF3 gene expression. PMID: 17178897

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Database Links

HGNC: 3029

OMIM: 603952

KEGG: hsa:4733

STRING: 9606.ENSP00000329715

UniGene: Hs.115242

Protein Families
TRAFAC class OBG-HflX-like GTPase superfamily, OBG GTPase family
Subcellular Location
Nucleus. Cytoplasm. Note=The DRG1-ZC3H15/DFRP1 complex associates with polysomes.
Tissue Specificity
High levels in skeletal muscle, heart, and kidney. Intermediate levels in liver, placenta and brain. Low levels in colon, thymus, spleen, small intestine, lung and leukocytes.

Q&A

What is DRG1 protein and why is it targeted in research applications?

DRG1 (Developmentally Regulated GTP Binding Protein 1) is a highly conserved GTPase that plays important roles in cellular processes including protein translation, cell growth, and development. As a GTP-binding protein, it serves as a molecular switch in various signaling pathways. Research targeting DRG1 is particularly relevant in developmental biology, cancer research, and cellular stress response studies. The antibodies against this protein allow researchers to investigate its expression patterns, localization, and functional interactions across different experimental conditions and model systems .

What advantages do biotin-conjugated DRG1 antibodies offer over unconjugated versions?

Biotin-conjugated DRG1 antibodies provide several methodological advantages over unconjugated antibodies. The biotin-streptavidin system offers one of the strongest non-covalent biological interactions known, providing enhanced sensitivity through signal amplification. This is particularly valuable in detection systems where DRG1 expression might be low or in complex tissue samples. The biotin conjugation enables flexible detection strategies using various streptavidin-conjugated reporter molecules (fluorophores, enzymes), allowing researchers to adapt protocols based on available instrumentation and experimental requirements. Additionally, the system reduces background issues related to secondary antibody cross-reactivity, as streptavidin reagents have minimal non-specific binding to mammalian tissues .

What experimental applications are most suitable for biotin-conjugated DRG1 antibodies?

Biotin-conjugated DRG1 antibodies are particularly well-suited for:

  • ELISA: Primary application indicated for many commercially available biotin-conjugated DRG1 antibodies

  • Flow cytometry: Especially valuable for receptor occupancy (RO) assays and multiparametric analyses

  • Immunohistochemistry (IHC): Provides enhanced signal amplification in tissue sections

  • Immunofluorescence (IF): Allows flexible detection strategies with various fluorophores

  • Western blotting: When combined with streptavidin-conjugated detection systems

The choice of application should be guided by the specific amino acid region targeted by the antibody, as different epitopes may be more accessible in certain experimental conditions. For example, antibodies targeting amino acids 173-228 of DRG1 have been validated for ELISA applications .

How should biotin incorporation ratio be assessed and optimized for DRG1 antibody performance?

Biotin incorporation ratio (biotin molecules per antibody) is a critical parameter that directly affects antibody performance. Optimal assessment and optimization includes:

  • Quantitative measurement: Use spectrophotometric methods or specialized assays to determine both protein concentration and biotin concentration. Calculate the incorporation ratio (biotin/protein).

  • Functional validation: Test different incorporation ratios against functional readouts in your experimental system.

  • Comparative analysis: Benchmark against previous successful lots or published standards.

Research shows that differences in biotin incorporation can significantly impact assay performance. For example, one study found a 4-fold difference in biotin conjugates per antibody between reagent lots, requiring careful titration and validation . The table below illustrates typical relationships between biotin incorporation and assay performance:

Biotin/Protein RatioTypical Impact on Performance
<1.0Insufficient sensitivity
1.5-3.0Optimal for most applications
3.0-7.0May require dilution to match previous lot performance
>7.0Risk of steric hindrance, may reduce antibody specificity

Optimal ratios may vary by application, with flow cytometry generally benefiting from higher incorporation ratios than techniques like Western blotting .

What is the recommended method for diluting biotinylated DRG1 antibodies to ensure consistent assay performance?

When diluting biotinylated DRG1 antibodies, especially when bridging between different reagent lots, the following methodological approach is recommended:

  • Maintain constant total protein concentration by using unconjugated antibody as the diluent rather than buffer alone.

  • Create a dilution series (e.g., 1X, 0.75X, 0.5X, 0.25X) of the new reagent lot.

  • Test each dilution against known positive controls.

  • Plot signal metrics (such as MESF values in flow cytometry) to identify the optimal dilution that matches previous lot performance.

This approach has been validated in flow cytometry receptor occupancy assays, where a new biotinylated antibody preparation with higher biotin incorporation required dilution to 0.66X concentration to match the performance of the original lot while maintaining the same total protein concentration .

How can endogenous biotin interference be minimized when using biotin-conjugated DRG1 antibodies?

Endogenous biotin can significantly interfere with biotinylated antibody detection systems, particularly in tissues with high biotin content (liver, kidney, brain) or when working with biotin-supplemented cell cultures. Methodological approaches to minimize this interference include:

  • Biotin blocking step: Prior to applying the biotinylated DRG1 antibody, block endogenous biotin using avidin/streptavidin followed by free biotin.

  • Sample pre-treatment: For tissue sections, consider pre-treating with 0.01M sodium citrate buffer (pH 6.0) at 98°C for 15 minutes.

  • Alternative fixation: Use methanol-based fixation rather than paraformaldehyde when possible, as it may reduce endogenous biotin accessibility.

  • Validate with controls: Always include a negative control where primary antibody is omitted but all blocking steps are performed to assess background.

These methods have been shown to significantly improve signal-to-noise ratios in detection systems using biotinylated antibodies like those against DRG1 .

How can biotin-conjugated DRG1 antibodies be employed in multiparametric flow cytometry applications?

Multiparametric flow cytometry using biotin-conjugated DRG1 antibodies requires careful panel design and optimization. The following methodology has been validated:

  • Antibody panel design: When incorporating biotin-conjugated DRG1 antibodies, carefully select additional markers that utilize fluorophores with minimal spectral overlap with your streptavidin-conjugated reporter (typically PE or APC).

  • Titration: Determine optimal concentrations of both the biotinylated DRG1 antibody and the streptavidin-conjugated reporter.

  • Sequential staining: Apply surface markers first, then fix/permeabilize if needed, followed by the biotinylated DRG1 antibody, and finally the streptavidin-conjugated reporter.

  • Control samples: Include fluorescence minus one (FMO) controls and a biotinylated isotype control.

This approach has been successfully used in flow cytometry-based receptor occupancy assays where biotinylated antibodies were used alongside CD45, CD66b, CD14, CD16, and CD33 markers to detect myeloid cells, including neutrophils and monocytes .

What methods are recommended for validating lot-to-lot consistency of biotin-conjugated DRG1 antibodies?

Rigorous validation of lot-to-lot consistency is critical for longitudinal studies. The following methodological approach is recommended:

  • Protein and biotin quantification: Measure total protein concentration and biotin incorporation ratio for each lot.

  • Parallel testing: Run side-by-side comparisons using identical samples and protocols.

  • Signal comparison: Compare raw signal intensities (e.g., MFI in flow cytometry) across multiple positive controls.

  • Dilution curve mapping: Generate dilution curves for new lots to identify concentration adjustments needed to match previous lot performance.

  • Functional equivalence testing: Calculate derived metrics (e.g., %RO in receptor occupancy assays) to confirm equivalent functional performance.

This approach has been validated in flow cytometry-based receptor occupancy assays, where a systematic comparison of MFI values and calculated MESF (Molecules of Equivalent Soluble Fluorochrome) values enabled identification of appropriate dilutions to maintain consistent assay performance despite differences in biotin incorporation between lots .

How can biotin-conjugated DRG1 antibodies be utilized in receptor occupancy assays?

Biotin-conjugated antibodies provide a powerful tool for receptor occupancy (RO) assays in drug development. For DRG1-targeted therapeutics, the following methodology has been validated:

  • Sample preparation: Prepare control samples at multiple drug concentrations (typically including unspiked, mid-range, and saturating concentrations).

  • Cell staining: Apply phenotypic markers to identify relevant cell populations.

  • Receptor detection: Apply biotinylated anti-DRG1 antibody followed by streptavidin-conjugated fluorophore.

  • Analysis: Calculate percentage receptor occupancy using the formula:
    %RO = [(MESF sample - MESF Low PC) / (MESF High PC - MESF Low PC)] × 100

Where MESF = Molecules of Equivalent Soluble Fluorochrome, Low PC = unspiked control, and High PC = saturated control.

This approach allows for precise quantification of target engagement in various biological systems and has been successfully implemented in flow cytometry-based assays .

Why might signal intensities vary between different lots of biotin-conjugated DRG1 antibodies, and how can this be addressed?

Signal intensity variations between antibody lots can significantly impact experimental reproducibility. Common causes and solutions include:

  • Biotin incorporation differences: New lots may have different biotin-to-antibody ratios. Characterize this ratio for each lot and adjust concentrations accordingly.

  • Protein concentration variations: Measure total protein concentration and standardize working dilutions.

  • Storage conditions: Suboptimal storage can reduce antibody activity. Follow manufacturer recommendations for temperature and avoid freeze-thaw cycles.

  • Degradation over time: Establish expiration dates based on functional testing rather than arbitrary timelines.

A systematic approach to addressing these variations involves:

  • Preparing dilution series of the new reagent lot (e.g., 1X, 0.75X, 0.5X, 0.25X) using unconjugated antibody as diluent to maintain total protein concentration.

  • Testing each dilution against standard samples.

  • Fitting signal intensity data to identify the optimal dilution that matches previous lot performance.

This approach has been validated in flow cytometry-based assays, where a 0.66X dilution of a new reagent lot with higher biotin incorporation was found to perform most similarly to the original lot .

What are the critical considerations for data normalization when comparing results across experiments using biotin-conjugated DRG1 antibodies?

Proper data normalization is essential for meaningful comparisons across experiments. Key methodological considerations include:

  • Reference standards: Include consistent positive and negative controls in each experiment to enable inter-run normalization.

  • Standardized fluorescence units: For flow cytometry, convert raw MFI values to standardized units such as MESF using calibration beads.

  • Background subtraction: Account for non-specific binding by subtracting signal from appropriate negative controls.

  • Normalization strategy: Choose appropriate normalization based on experimental design:

    • For receptor occupancy studies: Normalize to % occupancy using unspiked and fully saturated controls

    • For expression studies: Consider normalizing to housekeeping proteins or consistent cellular markers

Research has shown that using MESF values rather than raw MFI improves inter-run comparability in flow cytometry assays. This approach allows for meaningful comparison of data collected on different days or with different reagent lots .

How does epitope selection affect the performance and cross-reactivity of biotin-conjugated DRG1 antibodies?

Epitope selection significantly impacts antibody performance and cross-species reactivity. For DRG1 antibodies, multiple epitope regions have been targeted, each with different characteristics:

Epitope RegionSpecies ReactivityTypical ApplicationsNotes
AA 173-228HumanELISAModerate conservation across species
AA 151-200Human, Mouse, Rat, Cow, Guinea Pig, Horse, Rabbit, Zebrafish, Bat, Chicken, Monkey, PigWBHighly conserved region
AA 35-84Human, Mouse, Rat, Cow, Guinea Pig, Horse, Rabbit, Zebrafish, Bat, Chicken, Monkey, Pig, Xenopus laevisWBHighly conserved N-terminal region
AA 333-363 (C-Term)Human, Mouse, RatWBMore species-specific C-terminal region

When selecting biotin-conjugated DRG1 antibodies, researchers should consider:

  • The degree of conservation of the target epitope across species of interest

  • Accessibility of the epitope in the application format (some epitopes may be masked in certain experimental conditions)

  • Potential for cross-reactivity with closely related proteins

Antibodies targeting more conserved regions (e.g., AA 151-200) provide broader cross-species reactivity, which can be advantageous for comparative studies but may require additional validation for specificity .

What controls are essential when validating the specificity of biotin-conjugated DRG1 antibodies?

Comprehensive validation of antibody specificity requires multiple control strategies:

  • Negative controls:

    • Isotype control: Use a biotinylated antibody of the same isotype (e.g., rabbit IgG) but with irrelevant specificity

    • No primary antibody: Apply only streptavidin-reporter to assess background

    • Competitive blocking: Pre-incubate with excess unconjugated antibody or immunizing peptide

  • Positive controls:

    • Known positive tissues/cells: Include samples with established DRG1 expression

    • Recombinant DRG1 protein: Use purified protein as a defined standard

    • Genetically modified samples: Compare wild-type vs. DRG1 knockdown/knockout

  • Cross-reactivity assessment:

    • Test against closely related proteins (e.g., DRG2)

    • Evaluate performance across species if working with non-human models

This multi-faceted approach ensures that signals observed are specifically related to DRG1 rather than non-specific binding or cross-reactivity with related proteins. For biotinylated antibodies, it's particularly important to include controls for endogenous biotin, which can produce false-positive results in biotin-rich tissues .

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