GPHN Antibody, FITC conjugated

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Description

Conjugation Method and Antibody Types

FITC is covalently attached to primary amines (lysine residues) on the antibody via isothiocyanate chemistry . Optimal conjugation occurs at pH 9.5, 25 mg/mL protein concentration, and 30–60 minutes at room temperature . Over-conjugation (e.g., >6 FITC molecules per antibody) reduces solubility and fluorescence efficiency .

ParameterDetails
Conjugation SitePrimary amines (lysine residues)
FITC:Antibody Ratio3–6 FITC per antibody
Reaction ConditionspH 9.5, 25 mg/mL protein, 30–60 minutes
Separation MethodDEAE Sephadex chromatography to isolate optimally labeled antibodies

Antibody Types:

  • Monoclonal: Mouse IgG1/IgG2a (e.g., CL488-67995, OTI3B6) .

  • Polyclonal: Rabbit IgG (e.g., 12681-1-AP) .

  • Reactivity: Human, mouse, rat, and monkey .

Epitope Specificity

GPHN antibodies typically target the C-terminal region (residues 360–460 or 481–564), a surface-exposed domain with high antigenicity . This region is critical for glycine receptor clustering and molybdenum cofactor biosynthesis .

Flow Cytometry

  • Protocol: 0.40 µg per 10⁶ cells in 100 µL suspension .

  • Detection: Intracellular (e.g., HeLa cells) or surface-bound GPHN .

Immunofluorescence/Immunocytochemistry

  • Dilution: 1:500 in PBS with 10% FBS .

  • Use Case: Visualizing GPHN localization in neuronal synapses or non-neuronal tissues .

Immunohistochemistry (IHC)

  • Sample Types: Brain tissue sections, cultured cells .

ELISA

  • Reactivity: Human samples; used to quantify GPHN levels in lysates or supernatants .

Labeling Index and Affinity

Higher FITC labeling indices correlate with reduced binding affinity and increased nonspecific staining . Optimal conjugates balance fluorescence brightness and antigen recognition .

Labeling IndexEffect on AntibodyRecommendation
Low (1–3 FITC)High affinity, minimal nonspecific bindingPreferred for IHC/IF
High (6+ FITC)Reduced affinity, increased backgroundAvoid; use for high-sensitivity

Epitope Mapping

PhIP-Seq studies reveal GPHN antibodies bind to discontinuous motifs (e.g., YxExxK) in the C-terminal region, overlapping with chromogranin A . This cross-reactivity highlights potential nonspecific binding risks .

Cross-Reactivity and Specificity

  • False Positives: Observed with chromogranin A in some assays .

  • Mitigation: Use blocking peptides or validate with knockout controls .

Troubleshooting and Best Practices

  1. Remove Sodium Azide: Prevents FITC conjugation interference .

  2. Titer Antibodies: Optimize dilutions for each assay (e.g., 1:500 for IF) .

  3. Control Experiments: Include isotype-matched negative controls.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We typically dispatch products within 1-3 business days of receiving your order. Delivery times may vary depending on the purchasing method or location. For specific delivery information, please consult your local distributors.
Synonyms
Domain E antibody; Domain G antibody; GEPH antibody; GEPH_HUMAN antibody; GPH antibody; GPHN antibody; GPHRYN antibody; KIAA1385 antibody; Molybdopterin molybdenumtransferase antibody; MPT adenylyltransferase antibody; MPT Mo-transferase antibody
Target Names
GPHN
Uniprot No.

Target Background

Function
Gephyrin is a microtubule-associated protein that plays a crucial role in membrane protein-cytoskeleton interactions. It is believed to anchor the inhibitory glycine receptor (GLYR) to subsynaptic microtubules, acting as a key regulatory molecule at inhibitory synapses. Gephyrin also contributes to the clustering of GABA type A receptors. In addition to its structural role, gephyrin possesses catalytic activity and participates in two steps of molybdenum cofactor biosynthesis. In the first step, molybdopterin is adenylated. Subsequently, molybdate is incorporated into adenylated molybdopterin, with the release of AMP.
Gene References Into Functions
  1. This study demonstrated an association between SNPs located in the rs723432 (Pallele=0.007; uncorrected) within the GPHN gene and Japanese individuals diagnosed with schizophrenia. PMID: 28073605
  2. These findings reveal that IQSEC3 collaborates with gephyrin in regulating inhibitory synapse development. PMID: 27002143
  3. A missense mutation in gephyrin, impairing its ability to synthesize MoCo and activate MoCo-dependent enzymes, has been identified. PMID: 26613940
  4. A yin-yang haplotype pattern encompassing gephyrin, characterized by 284 divergent nucleotide states, exhibits drastic variation from its ancestral haplotype, suggesting rapid evolutionary changes. PMID: 25813846
  5. The N-terminal region of GABRA3 and the GlyR beta subunit occupy the same binding site on gephyrin. PMID: 25531214
  6. Research indicates that PKC-dependent phosphorylation of GAP43 plays a critical role in regulating postsynaptic gephyrin aggregation during GABAergic synapse development. PMID: 25755278
  7. Structural exonic microdeletions affecting the GPHN gene represent a rare genetic risk factor for IgE and other neuropsychiatric disorders, potentially contributing to impaired GABAergic inhibitory synaptic transmission. PMID: 24561070
  8. The enhancement of Cb-induced gephyrin clustering by GTP-TC10 is independent of the guanine nucleotide exchange activity of Cb. This interaction resembles reported interactions of other small GTPases with their effectors. PMID: 24297911
  9. Abnormal accumulations of gephyrin are strongly associated with the neuropathologic diagnosis of Alzheimer disease, observed in 17 AD cases compared to 14 control cases. Notably, these gephyrin accumulations were specific to AD. PMID: 24128675
  10. Rare exonic deletions involving the synaptic organizer Gephyrin (GPHN) are implicated in the risk for autism, schizophrenia, and seizures. PMID: 23393157
  11. Extracellular signal-regulated kinase and glycogen synthase kinase 3beta regulate gephyrin postsynaptic aggregation and GABAergic synaptic function through a calpain-dependent mechanism. PMID: 23408424
  12. A reduction in the number of gephyrin clusters in primary neurons leads to a decrease in GABA signaling. PMID: 23077067
  13. Phosphorylation of gephyrin in hippocampal neurons by cyclin-dependent kinase CDK5 at Ser-270 is dependent on collybistin. PMID: 22778260
  14. The presence of gephyrin in a cytosolic 600 kDa protein complex suggests that its metabolic and/or other non-neuronal functions are exerted in the cytoplasm and are not restricted to a specific subcellular compartment. PMID: 22270318
  15. Gephyrin expression is significantly lower in the temporal neocortex of temporal lobe epilepsy (TLE) patients, suggesting a potential role in the development of TLE. PMID: 21404332
  16. Researchers have identified a protein kinase C (PKC) phosphorylation site within the cytoplasmic domain of the beta-subunit of the GlyR (residue S403) that reduces the binding affinity between the receptor and gephyrin. PMID: 21829170
  17. Data demonstrate a direct interaction between DYNLL1 and peptides derived from ASFV p54 and gephyrin interacting sequences. PMID: 21094642
  18. No evidence of gephyrin gene mutations was found in patients with temporal lobe epilepsy. PMID: 21071388
  19. Findings suggest that the postsynaptic gephyrin scaffold serves as a platform for protein phosphatase 1 (PP1), which regulates gephyrin cluster size through dephosphorylation of gephyrin- or cytoskeleton-associated proteins. PMID: 20206270
  20. This study proposes that the collybistin-gephyrin complex plays a crucial role in clustering GABA(A)Rs containing the alpha2 subunit. PMID: 20622020
  21. Gephyrin contributes to synaptic function by interacting with GRIP1 splice forms at GABAergic synapses in transfected cultured hippocampal neurons. PMID: 18315564
  22. Gephyrin likely plays a central organizing role in assembling and stabilizing inhibitory postsynaptic membranes in the human brain, similar to its function in the rodent brain. PMID: 12535948
  23. The N10Y mutation and alternative splicing of GPHN transcripts do not affect interactions with the glycine receptor but may influence other interactions with the cytoskeleton or gephyrin accessory proteins. PMID: 12684523
  24. Review: A total of 32 distinct disease-causing mutations, including several common to more than one family, have been identified in molybdenum cofactor-deficient patients and their relatives. PMID: 12754701
  25. Colocalization of immunoreactivities for gephyrin and glycine receptor subunits has been observed in the dorsal and ventral horns of the spinal cord, the hypoglossal nucleus, and the medial vestibular nucleus of the medulla. PMID: 14622920
  26. GPHN, as an MLL-GPHN chimera, possesses the ability to transform hematopoietic progenitors. A tubulin-binding domain of GPHN is both necessary and sufficient for this activity and also confers oligomerization capacity on the MLL protein, which may contribute to leukemogenesis. PMID: 14751928
  27. Within clusters, two subpopulations of GlyR have been identified, exhibiting distinct degrees of stabilization between receptors and scaffolding proteins. PMID: 17293395
  28. Crystal structure of N terminal G domain PMID: 11554796

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Database Links

HGNC: 15465

OMIM: 603930

KEGG: hsa:10243

STRING: 9606.ENSP00000417901

UniGene: Hs.208765

Involvement In Disease
Molybdenum cofactor deficiency, complementation group C (MOCODC)
Protein Families
MoaB/Mog family; MoeA family
Subcellular Location
Cell junction, synapse, postsynaptic cell membrane; Lipid-anchor; Cytoplasmic side. Cell membrane; Lipid-anchor; Cytoplasmic side. Cytoplasm, cytosol. Cytoplasm, cytoskeleton. Cell projection, dendrite. Cell junction, synapse, postsynaptic density.

Q&A

What is Gephyrin (GPHN) and what are its biological functions?

Gephyrin (GPHN) is a multifunctional microtubule-associated protein that plays critical roles in both synapse organization and enzymatic pathways. It functions primarily as a scaffolding protein involved in membrane protein-cytoskeleton interactions, most notably anchoring inhibitory glycine receptors (GLYR) to subsynaptic microtubules. This anchoring function is essential for maintaining proper inhibitory neurotransmission in the central nervous system. Beyond its structural role, GPHN also functions as a bifunctional enzyme that catalyzes two crucial steps in the biosynthesis of the molybdenum cofactor. Initially, it adenylates molybdopterin (functioning as molybdopterin adenylyltransferase, EC 2.7.7.75) through its G domain, followed by insertion of molybdate into the adenylated molybdopterin with concurrent AMP release (functioning as molybdopterin molybdenumtransferase, EC 2.10.1.1) via its E domain .

What are the key specifications of commercially available GPHN Antibody, FITC conjugated?

Commercial GPHN Antibody, FITC conjugated is typically supplied as a research-grade reagent with the following specifications:

  • Source organism: Rabbit

  • Isotype: IgG

  • Target reactivity: Human

  • Conjugate: Fluorescein isothiocyanate (FITC)

  • Standard quantity: 50μg

  • Immunogen: Recombinant Human Gephyrin protein (typically amino acids 360-460)

  • Storage buffer composition: 50% Glycerol, 0.01M PBS (pH 7.4), with 0.03% Proclin 300 as preservative

  • Primary validated application: ELISA

  • Protein identifier: UniProt Q9NQX3

How does FITC conjugation affect antibody functionality and what mechanisms underlie these effects?

FITC conjugation involves the covalent attachment of fluorescein isothiocyanate molecules to reactive lysine residues on antibody proteins. This labeling process can potentially alter antibody functionality through several mechanisms. The rate and extent of labeling varies with reaction conditions, label concentration, and the nature of the target protein. While FITC provides the necessary fluorescent properties for visualization, excessive labeling can impact antibody binding characteristics.

What validated research applications are appropriate for GPHN Antibody, FITC conjugated?

GPHN Antibody, FITC conjugated has been validated for multiple research applications in neuroscience, cancer research, and basic cell biology. The primary validated applications include:

  • Enzyme-Linked Immunosorbent Assay (ELISA): The antibody has been specifically validated for quantitative detection of human GPHN in various sample types .

  • Immunohistochemistry (IHC): Extensive validation demonstrates utility in paraffin-embedded sections of diverse tissue types including:

    • Human pathological samples (liver cancer, papillary thyroid carcinoma, stomach cancer)

    • Normal rodent tissues (mouse and rat brain, rat lung)

  • Immunofluorescence (IF): The antibody has been successfully employed in immunocytochemical analysis of cultured cell lines such as A431 cells, where FITC labeling provides direct visualization without secondary antibody requirements .

  • Novel analytical applications: The FITC conjugation enables specialized applications such as antibody-antigen binding analysis via modified differential scanning fluorimetry (DSF) without requiring additional extrinsic fluorophores .

What is the optimal protocol for immunohistochemistry using GPHN Antibody, FITC conjugated?

For optimal immunohistochemical detection of GPHN using FITC-conjugated antibody, the following methodological approach is recommended:

  • Tissue preparation and antigen retrieval:

    • Use paraffin-embedded sections (4-6 μm thickness)

    • Perform heat-mediated antigen retrieval specifically in EDTA buffer (pH 8.0)

    • Ensure complete deparaffinization and rehydration prior to retrieval

  • Blocking and primary antibody incubation:

    • Block tissue sections with 10% goat serum for 30-60 minutes at room temperature

    • Incubate with GPHN Antibody, FITC conjugated at 2 μg/ml concentration

    • Maintain incubation overnight (12-16 hours) at 4°C in a humidified chamber

    • For FITC direct detection, proceed to counterstaining and mounting

  • Alternative detection method for amplified signal:

    • If signal amplification is required, use biotinylated goat anti-rabbit IgG as secondary antibody

    • Incubate for precisely 30 minutes at 37°C

    • Develop using Strepavidin-Biotin-Complex with DAB as the chromogen

    • Note: This approach sacrifices the direct fluorescence of FITC but provides signal amplification

How can differential scanning fluorimetry be optimized for antigen binding studies with FITC-labeled antibodies?

A novel approach to differential scanning fluorimetry (DSF) leverages the intrinsic fluorescence of FITC-conjugated antibodies without requiring additional extrinsic fluorophores. This method has significant advantages for studying antigen binding when standard DSF approaches would face spectral interference. The optimized protocol includes:

  • Sample preparation:

    • Prepare FITC-conjugated antibody (15-120 minute labeling time is optimal)

    • Create concentration series of target antigen

    • Combine antibody with varying antigen concentrations in appropriate buffer

  • Instrument settings:

    • Configure real-time PCR thermocycler with appropriate excitation/emission filters for FITC

    • Set temperature ramp rate to 1°C/minute from 25°C to 95°C

    • Program fluorescence data collection at each temperature increment

  • Data analysis approach:

    • Unlike traditional DSF where fluorescence increases upon protein unfolding, FITC fluorescence decreases during thermal denaturation

    • Plot fluorescence versus temperature for each antigen concentration

    • Determine thermal stability shifts (ΔTm) as a function of antigen concentration

    • These shifts quantitatively reflect binding affinity when properly analyzed

This methodology provides a valuable alternative when spectral overlap precludes the use of standard DSF dyes like Sypro orange or DASPMI. The concentration-dependent increase in thermal stability correlates with antigen binding strength, enabling quantitative binding analysis without interference from the FITC label .

How does the degree of FITC labeling impact antibody performance, and what is the optimal labeling ratio?

FITC labeling exhibits time-dependent incorporation patterns that significantly impact antibody performance. Research examining the relationship between labeling duration and antibody function reveals several critical considerations:

The distribution of FITC labeling varies between antibody domains, with preferential early incorporation into Fab fragments followed by increasing labeling of Fc regions over extended reaction times. Optimal performance typically occurs with moderate labeling (15-minute reaction time) that provides sufficient fluorescence while minimizing functional impact. Quantitative analysis using isothermal titration calorimetry demonstrates that even heavily labeled antibodies (120-minute reaction time) retain approximately 90-95% of their binding capacity.

The thermodynamic binding parameters (ΔH, ΔS, ΔG) show minimal alterations with moderate labeling but may shift more significantly with extensive labeling. This reflects subtle conformational changes that can influence binding kinetics. For most research applications, a moderate FITC:antibody ratio that balances detection sensitivity and binding preservation is recommended .

What are the most effective strategies for reducing background fluorescence when using GPHN Antibody, FITC conjugated?

Background fluorescence can significantly impact signal-to-noise ratios when working with FITC-conjugated antibodies. Implementing these methodological refinements can substantially improve specificity:

  • Optimized blocking protocol:

    • Extend blocking time to 60 minutes with freshly prepared 10% serum from the same species as the secondary antibody (if used)

    • Include 0.1-0.3% Triton X-100 in blocking solution to reduce non-specific membrane binding

    • Consider adding 1% BSA to further reduce background interactions

  • Antibody dilution optimization:

    • Perform systematic titration experiments to determine minimum effective concentration

    • For most applications with GPHN Antibody, FITC conjugated, 2 μg/ml represents an optimal starting point

    • Prepare antibody dilutions in blocking buffer rather than plain PBS

  • Specific countermeasures for tissue autofluorescence:

    • Pretreat tissues with 0.1-1% sodium borohydride solution to quench aldehyde-induced autofluorescence

    • Include brief Sudan Black B treatment (0.1-0.3% in 70% ethanol) after antibody incubation

    • Consider photobleaching samples briefly before antibody addition to reduce endogenous fluorescence

How can the specificity of GPHN Antibody, FITC conjugated be validated in experimental systems?

Rigorous validation of GPHN Antibody, FITC conjugated specificity requires a multi-faceted approach:

  • Tissue distribution pattern analysis:

    • Compare antibody localization with established GPHN expression patterns

    • GPHN shows characteristic punctate distribution at inhibitory synapses in neuronal tissues

    • Verify appropriate subcellular localization (primarily postsynaptic in neurons)

  • Technical validation controls:

    • Include absorption controls using recombinant GPHN protein (specifically amino acids 360-460)

    • Perform parallel staining with alternative validated anti-GPHN antibodies

    • Include tissues/cells known to be negative for GPHN expression

  • Advanced validation approaches:

    • Compare staining in wild-type versus GPHN-knockout models (if available)

    • Employ RNA interference to knockdown GPHN expression and confirm reduced signal

    • Utilize recombinant GPHN expression systems to verify detection sensitivity

  • Quantitative assessment:

    • Perform Western blot analysis in parallel with fluorescence detection

    • Verify detection of the expected ~80 kDa band corresponding to full-length GPHN

    • Assess cross-reactivity with potential splice variants known to exist for GPHN

How can isothermal titration calorimetry be used to quantify the effects of FITC conjugation on antibody-antigen interactions?

Isothermal titration calorimetry (ITC) offers a powerful, label-independent approach to quantitatively assess how FITC conjugation affects antibody-antigen binding thermodynamics. Unlike fluorescence-based methods, ITC is not subject to interference from the FITC label, providing direct measurement of fundamental binding parameters. The methodology involves:

  • Experimental design for comparative analysis:

    • Analyze unlabeled control antibody, moderately labeled (15 min), and extensively labeled (120 min) samples under identical conditions

    • Titrate identical antigen preparations into each antibody sample

    • Maintain consistent buffer conditions, temperature, and instrumentation parameters

  • Key parameters for quantitative assessment:

    • Binding stoichiometry (N): Reveals potential reduction in functional binding sites

    • Binding affinity (Ka/Kd): Quantifies changes in interaction strength

    • Enthalpy change (ΔH): Measures alterations in hydrogen bonding and van der Waals interactions

    • Entropy change (ΔS): Reflects changes in hydrophobic interactions and conformational flexibility

  • Data interpretation framework:

    • Minor changes in N values (5-10% reduction) indicate minimal steric hindrance from FITC

    • Shifts in thermodynamic profile (entropy-enthalpy compensation) suggest subtle conformational changes

    • Preservation of Gibbs free energy (ΔG) despite changes in ΔH and ΔS indicates compensatory mechanisms maintaining binding

Published research demonstrates that moderate FITC labeling typically preserves most binding capacity, with only subtle alterations in thermodynamic parameters, making properly labeled antibodies suitable for most research applications .

What novel analytical approaches can be combined with GPHN Antibody, FITC conjugated for studying inhibitory synapse dynamics?

Advanced research into inhibitory synapse dynamics can leverage GPHN Antibody, FITC conjugated through several innovative methodological combinations:

  • Live-cell imaging with complementary markers:

    • Combine GPHN Antibody, FITC conjugated with membrane-permeable voltage-sensitive dyes

    • Pair with spectrally distinct fluorophore-conjugated antibodies against inhibitory neurotransmitter receptors (GABA-A, glycine receptors)

    • Integrate with genetically encoded calcium indicators to correlate structural and functional data

  • Super-resolution microscopy applications:

    • Implement Stimulated Emission Depletion (STED) microscopy to resolve nanoscale distribution patterns of gephyrin scaffolds

    • Apply Stochastic Optical Reconstruction Microscopy (STORM) to quantify molecular clustering and stoichiometry

    • Combine with expansion microscopy to enhance spatial resolution of inhibitory synapse architecture

  • Correlative microscopy approaches:

    • Utilize GPHN Antibody, FITC conjugated for initial fluorescence identification of regions of interest

    • Subsequently process the same samples for electron microscopy to analyze ultrastructural details

    • Implement fiducial markers to precisely align fluorescence and electron microscopy datasets

  • Functional analysis integration:

    • Apply optical uncaging of neurotransmitters near identified gephyrin clusters

    • Combine with electrophysiological recording to correlate structural and functional properties

    • Implement optogenetic manipulation of inhibitory circuits while monitoring gephyrin dynamics

How can structural analysis techniques determine the impact of FITC labeling on GPHN antibody binding epitopes?

Understanding the structural implications of FITC conjugation on antibody-antigen interactions requires sophisticated analytical approaches:

  • High-resolution epitope mapping:

    • Employ hydrogen-deuterium exchange mass spectrometry (HDX-MS) to identify regions where FITC labeling alters protein dynamics

    • Utilize peptide microarrays with overlapping GPHN peptide fragments to precisely map binding epitopes

    • Compare epitope accessibility in labeled versus unlabeled antibody preparations

  • Computational modeling approaches:

    • Generate molecular models of GPHN-antibody complexes

    • Simulate the effects of lysine modification at different positions

    • Calculate binding energy changes resulting from FITC conjugation

  • Crystallographic and cryo-EM analysis:

    • Obtain high-resolution structures of Fab fragments with and without FITC labeling

    • Compare electron density maps to identify conformational changes

    • Assess alterations in complementarity-determining region (CDR) orientation

  • Site-directed mutagenesis validation:

    • Systematically mutate lysine residues near the binding interface to non-reactive residues

    • Evaluate the impact of these mutations on binding compared to FITC labeling

    • Confirm computational predictions through experimental binding studies

What are the advantages and limitations of FITC-conjugated GPHN antibody compared to other fluorophore conjugates?

When designing experiments using fluorophore-conjugated GPHN antibodies, researchers should consider these comparative factors:

CharacteristicFITC ConjugationAlternative Fluorophores (Alexa Fluor®, DyLight®)
Excitation/Emission495nm/519nmVariable by fluorophore, often red-shifted
PhotostabilityModerate, prone to photobleachingSuperior photostability, especially Alexa Fluor® dyes
pH SensitivityHigh (fluorescence quenched below pH 7.0)Minimal pH dependence for most alternatives
Quantum YieldHigh when properly conjugatedComparable or superior
Background AutofluorescenceHigher interference from biological samplesReduced interference with red-shifted alternatives
Cost ConsiderationsGenerally more economicalTypically more expensive
Multiplex CompatibilityLimited by spectral overlap with common fluorophoresSuperior options for multi-color applications

FITC conjugation offers excellent cost-effectiveness and well-established protocols but presents challenges in applications requiring extended imaging, low pH environments, or complex multiplexing. For standard immunohistochemistry and basic fluorescence microscopy, FITC remains highly suitable, while advanced imaging applications may benefit from alternative fluorophores with enhanced stability and spectral properties .

What methodological modifications are necessary when using GPHN Antibody, FITC conjugated across different experimental systems?

Optimizing experimental protocols for GPHN Antibody, FITC conjugated across diverse biological systems requires systematic adaptations:

  • Tissue-specific considerations:

    • Brain tissue: Extend fixation time to 24-48 hours; implement antigen retrieval in EDTA buffer (pH 8.0)

    • Cancer tissues: Modify blocking to include 0.3% hydrogen peroxide to quench endogenous peroxidase

    • Cell cultures: Reduce fixation to 10-15 minutes with 4% PFA to preserve epitope accessibility

  • Species-specific optimizations:

    • Human samples: Standard protocol (2 μg/ml antibody) typically sufficient

    • Rodent tissues: May require increased antibody concentration (3-4 μg/ml) for equivalent signal

    • Non-mammalian models: Validate cross-reactivity and optimize fixation conditions empirically

  • Application-dependent modifications:

    • For IHC: Consider signal amplification via biotin-streptavidin systems when needed

    • For live imaging: Utilize Fab fragments of FITC-conjugated antibody to improve tissue penetration

    • For super-resolution: Implement additional post-fixation steps to minimize sample movement

  • Counterstain compatibility considerations:

    • With DAPI: Standard protocol suitable

    • With propidium iodide: Implement RNase treatment to reduce background

    • With multiple antibodies: Carefully sequence application to minimize cross-reactivity

How can contradictory experimental results using GPHN Antibody, FITC conjugated be systematically analyzed and resolved?

When confronted with inconsistent or contradictory results using GPHN Antibody, FITC conjugated, implement this systematic troubleshooting framework:

  • Authentication and validation phase:

    • Verify antibody specificity via Western blot against recombinant GPHN

    • Confirm fluorophore activity through spectroscopic analysis

    • Assess lot-to-lot variation through comparative testing

  • Technical variables assessment:

    • Systematically evaluate fixation parameters (duration, temperature, fixative composition)

    • Test multiple antigen retrieval methods (heat-mediated vs. enzymatic; buffer composition)

    • Document microscopy parameters (exposure time, gain settings, filter configurations)

  • Biological variability analysis:

    • Consider developmental stage differences in GPHN expression patterns

    • Evaluate pharmacological treatments that might alter GPHN clustering

    • Assess regional variations in expression across brain structures

  • Methodological cross-validation:

    • Compare results with alternative anti-GPHN antibodies

    • Implement parallel RNA analysis (in situ hybridization or RT-PCR)

    • Utilize genetically labeled GPHN models when available

  • Statistical approach to reconciliation:

    • Increase biological and technical replicates

    • Implement blinded quantification protocols

    • Apply appropriate statistical tests to determine significance of observed differences

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