The HID1 Antibody (OTI2F4) is a mouse-derived monoclonal IgG1κ antibody targeting human HID1 protein. Key characteristics include:
This antibody is widely used to investigate HID1's role in vesicle trafficking, endocrine secretion, and pathological conditions like diabetes or cancer .
Mechanistic Insight: HID1 deficiency in pancreatic β cells disrupts homotypic fusion of immature secretory granules (ISGs), leading to defective proinsulin processing and glucose intolerance in mice. HID1 knockout (KO) models showed a 72% reduction in insulin secretion and a 3-fold increase in serum proinsulin/insulin ratio .
Subcellular Localization: Immunofluorescence studies using HID1 Antibody revealed that HID1 localizes to the TGN and ISGs in β cells. Its loss caused proinsulin dispersion throughout the cytosol (density increased from 0.58 ± 0.10/µm³ to 0.99 ± 0.07/µm³) .
Cancer Research: HID1 is downregulated in multiple cancers, and the antibody has been employed to study its tumor-suppressive roles. Reduced HID1 expression correlates with poor prognosis in pancreatic and breast cancers .
Neurological Disorders: Biallelic HID1 mutations cause syndromic infantile encephalopathy with hypopituitarism. Patient fibroblasts showed impaired extracellular acidification (↓30% upon KCl stimulation), linking HID1 dysfunction to TGN trafficking defects .
Western Blot: Detects HID1 at ~35 kDa in human cell lysates .
Immunocytochemistry: Colocalizes with TGN markers (e.g., TGN46) in pancreatic β cells and neurons, confirming its subcellular distribution .
Functional Assays: Used to validate HID1’s role in SG exocytosis via membrane capacitance measurements in β cells, where KO models showed normal Ca²⁺ influx but impaired insulin maturation .
HID1 (HID1 domain-containing protein 1) is a highly conserved protein involved in vesicle trafficking within the trans-Golgi network (TGN). It plays a crucial role in the secretory pathway, particularly in the biogenesis, maturation, and trafficking of dense core vesicles . The significance of HID1 in research stems from its essential functions in:
Homotypic fusion of immature secretory granules (ISGs), a critical step in secretory granule maturation
Processing of prohormones to yield active peptides, with implications for endocrine function
Potential involvement in cancer development across various tissues
Association with severe neurological disorders, as bi-allelic mutations in HID1 cause early infantile encephalopathy with hypopituitarism
Research on HID1 provides valuable insights into fundamental cellular processes and potential therapeutic targets for conditions involving secretory pathway dysfunction.
Detection of HID1 protein expression in tissue samples typically employs immunohistochemical techniques with validated antibodies. The methodological approach includes:
Tissue preparation: Fixation with paraformaldehyde followed by paraffin embedding or freezing for cryosections
Antigen retrieval: Heat-induced epitope retrieval using citrate buffer (pH 6.0)
Primary antibody incubation: Using rabbit polyclonal anti-human HID1 antibody (such as Sigma HPA031406) at 1:100 dilution for 1 hour at room temperature
Secondary antibody application: Typically using fluorophore-conjugated secondary antibodies such as donkey anti-rabbit IgG Alexa 488 (1:500)
Counterstaining: Often with a Golgi marker (such as mouse monoclonal anti-58k Golgi protein antibody at 1:200) to confirm localization
Mounting and visualization: Using Mowiol mounting medium with n-propylgallate as fading agent, followed by confocal microscopy
For optimal results, researchers should verify antibody specificity using appropriate controls, including tissues from HID1 knockout models where available.
HID1 protein demonstrates specific subcellular localization that reflects its functional role in the secretory pathway. Based on immunofluorescence studies:
HID1 predominantly localizes to the cytosolic medial- and trans-Golgi apparatus
The protein requires its N-terminal myristoylation domain for binding to the trans-Golgi network (TGN)
In neuronal cells, HID1 resides on intracellular membranes in the cell soma
HID1 shows colocalization with TGN markers but not with markers of mature secretory granules
This localization pattern is consistent across different cell types, though expression levels may vary significantly between tissues. For instance, in pancreatic tissue, HID1 is highly expressed in β cells but only weakly expressed in α cells . When conducting immunofluorescence studies, researchers should employ dual labeling with established organelle markers to confirm proper localization.
Confirming antibody specificity is crucial for reliable research outcomes. For HID1 antibodies, researchers should implement the following validation approaches:
Genetic validation: Testing the antibody in tissues/cells from HID1 knockout models, which should show absence or significant reduction of signal. For example, in conditional HID1 knockout mouse models, islets showed only 20% of the HID1 expression compared to wild-type controls
Peptide competition assays: Pre-incubating the antibody with a synthetic peptide containing the target epitope, which should abolish specific staining
Multiple antibody approach: Using different antibodies targeting distinct HID1 epitopes to confirm consistent localization patterns
Knockdown validation: Testing in cells with siRNA-mediated HID1 knockdown to confirm signal reduction
Recombinant protein controls: Using cells overexpressing tagged HID1 protein to confirm antibody detection capability
Western blot analysis: Confirming antibody detects a band of appropriate molecular weight (~89 kDa for human HID1)
Cross-reactivity assessment: Testing across multiple species when studying orthologous proteins, as HID1 sequence homology can affect antibody performance
These validation steps should be documented with appropriate controls in all experimental procedures.
Investigating HID1's function in secretory granule maturation requires a sophisticated experimental approach that combines genetic manipulation with advanced imaging and biochemical techniques:
Genetic manipulation systems:
Morphological analysis:
Functional assays:
Vesicle trafficking analysis:
Live-cell imaging with tagged cargo proteins to track vesicle movement
FRAP (Fluorescence Recovery After Photobleaching) assays to measure protein dynamics
Quantification of homotypic fusion events using dual-color labeled vesicles
The combination of these approaches allows for comprehensive assessment of HID1's specific role in secretory granule maturation across different cellular contexts.
When using HID1 antibodies to investigate vesicle trafficking defects, researchers should account for several critical technical considerations:
Fixation protocol optimization:
Membrane proteins like HID1 may require specific fixation protocols to preserve native conformation
Comparison of paraformaldehyde (4%) vs. methanol fixation to determine optimal preservation of HID1 epitopes and vesicular structures
Limited fixation time (10-15 minutes) may better preserve the delicate TGN architecture
Quantitative colocalization analysis:
Use of appropriate statistical measures (Manders' coefficient, Pearson's correlation) when assessing HID1 colocalization with TGN markers
Implementation of object-based colocalization analysis for discrete vesicular structures
Establishment of appropriate thresholds based on control samples
Temporal considerations:
HID1 function in vesicle trafficking is dynamic, requiring time-resolved imaging approaches
Pulse-chase experiments may be necessary to track specific vesicle populations
Synchronization protocols can help identify specific trafficking steps affected by HID1 mutations
Antibody penetration issues:
TGN structures may show limited antibody accessibility in fixed cells
Detergent concentration optimization is crucial (typically 0.1-0.3% Triton X-100 or 0.05% saponin)
Permeabilization time should be carefully controlled to preserve membrane integrity
Controls for pathway specificity:
Include assessments of other trafficking pathways to confirm specificity of HID1-related defects
Use markers for different vesicle populations (clathrin-coated vesicles, COPI vesicles, etc.)
Compare with established TGN trafficking mutants to benchmark the observed phenotypes
These considerations are particularly important when studying subtle trafficking defects associated with pathogenic HID1 mutations identified in patients with syndromic infantile encephalopathy .
Leveraging HID1 antibodies for investigating disease-causing mutations requires a multifaceted experimental approach:
Patient-derived cell models:
Structural-functional analysis:
Co-immunoprecipitation studies with HID1 antibodies to assess how mutations affect protein-protein interactions
Differential centrifugation combined with immunoblotting to determine subcellular fractionation patterns
Limited proteolysis accessibility assays to detect mutation-induced conformational changes
Comparative phenotype analysis:
Systematic comparison of cellular phenotypes across different mutation types:
Missense mutations affecting protein folding
Truncating mutations leading to loss of functional domains
Mutations affecting post-translational modifications
Rescue experiments:
Re-expression of wild-type HID1 in patient cells to confirm causality
Structure-guided design of mutation-specific rescue approaches
Quantitative assessment of functional recovery using secretion assays or glucose-stimulated insulin secretion tests in β cells
High-content screening:
Development of image-based assays using HID1 antibodies to screen for small molecules that rescue trafficking defects
Quantification of TGN morphology, HID1 localization, and downstream functional readouts
This comprehensive approach enables researchers to establish clear genotype-phenotype correlations and develop potential therapeutic strategies for HID1-associated disorders.
Quantitative analysis of HID1 immunofluorescence patterns requires rigorous methodology to ensure reproducible and meaningful results:
Image acquisition standardization:
Consistent microscope settings (laser power, detector gain, pixel size) across all experimental groups
Use of confocal microscopy with appropriate airy setting (typically airy 1) and signal averaging (4-8 scans) as used in published protocols
Z-stack acquisition to capture the full volume of the Golgi apparatus
Image processing workflow:
Background subtraction using rolling ball algorithm calibrated to cellular dimensions
Deconvolution where appropriate to enhance signal-to-noise ratio
Application of consistent thresholding methods across all analyzed images
Quantification parameters:
Golgi area and morphology (circularity, fragmentation index)
Fluorescence intensity distribution (coefficient of variation, intensity histogram)
Distance relationships between HID1 and other markers (nearest neighbor analysis)
Statistical considerations:
Validation controls:
By adhering to these best practices, researchers can generate quantitative data suitable for detecting subtle changes in HID1 localization patterns that may be physiologically relevant.
Researchers frequently encounter challenges with antibody signal quality. For HID1 antibodies, specific troubleshooting approaches include:
Additionally, when working with tissues showing low HID1 expression, signal amplification methods such as tyramide signal amplification may be employed, though these require careful optimization to maintain specificity.
When faced with discrepancies between results obtained using different HID1 antibodies, researchers should implement a systematic analytical approach:
Epitope mapping analysis:
Identify the specific epitopes recognized by each antibody
Consider whether epitopes may be differentially affected by fixation methods
Assess potential post-translational modifications that might mask specific epitopes
Cross-validation with complementary approaches:
Correlate protein detection results with mRNA expression data
Use genetic models (knockout, knockdown) to confirm specificity of each antibody
Implement tagged HID1 constructs to directly compare antibody performance against the tag
Isoform-specific considerations:
Review antibody documentation for specificity to different HID1 isoforms
Design experiments to specifically detect potential splice variants
Consider species-specific differences in HID1 protein sequence
Technical validation matrix:
Test all antibodies under identical conditions across multiple techniques
Create a validation matrix scoring each antibody on specificity criteria
Document batch/lot numbers as antibody performance can vary between production lots
Resolution strategies for conflicting data:
Prioritize results from antibodies with most comprehensive validation
Consider that different antibodies may reveal distinct aspects of HID1 biology
Report all findings transparently with appropriate caveats in publications
This structured approach enables researchers to make informed decisions when interpreting seemingly contradictory results and helps advance understanding of HID1 biology despite technical challenges.
Co-immunoprecipitation (co-IP) studies with HID1 present unique challenges due to its membrane association and involvement in protein complexes. Optimizing protocols requires attention to several critical factors:
Lysis buffer optimization:
Use buffers containing mild detergents (0.5-1% NP-40 or 0.5% digitonin)
Include physiological salt concentrations (150mM NaCl) to maintain relevant interactions
Add protease inhibitor cocktails freshly before use
Consider phosphatase inhibitors if studying phosphorylation-dependent interactions
Crosslinking considerations:
Reversible crosslinkers (DSP, 0.5-2mM) may help stabilize transient interactions
Optimize crosslinking time (typically 20-30 minutes at room temperature)
Ensure complete quenching before lysis (using 50mM Tris, pH 7.5)
Antibody coupling strategies:
Direct comparison of different coupling methods:
Protein A/G beads with antibody pre-incubation
Covalent coupling to activated supports (NHS-activated agarose)
Magnetic beads for improved recovery and reduced background
Pre-clearing and blocking optimizations:
Pre-clear lysates with beads alone to reduce non-specific binding
Block beads with irrelevant protein (BSA) and/or competitor DNA if using nuclear extracts
Use lysates from HID1-knockout cells as negative controls
Washing stringency gradient:
Test washing buffers with increasing stringency:
Low stringency: PBS with 0.1% detergent
Medium stringency: Add 150-300mM NaCl
High stringency: Include up to 0.1% SDS for stubborn non-specific interactions
Document complexes lost at each stringency level
Elution methods:
Compare different elution strategies:
Gentle: Native elution with excess epitope peptide
Denaturing: SDS sample buffer at 70°C (avoid boiling membrane proteins)
Acidic: Glycine buffer (pH 2.5) followed by immediate neutralization
This systematic approach allows researchers to optimize HID1 co-IP protocols for their specific experimental questions while maintaining physiologically relevant interactions.
Investigating HID1's role in hormone processing disorders requires an integrated experimental approach that spans molecular, cellular, and physiological levels:
Patient cohort analysis:
In vitro hormone processing assays:
Pulse-chase experiments with radiolabeled prohormones in cells with wild-type vs. mutant HID1
Mass spectrometry analysis of secreted peptides to detect processing intermediates
Enzyme activity assays for prohormone convertases in the presence/absence of functional HID1
Advanced cellular models:
Development of patient-derived organoids (pituitary, pancreatic) to study tissue-specific effects
Implementation of microfluidic systems to analyze hormone secretion dynamics
Single-cell transcriptomics to identify compensatory mechanisms in HID1-deficient cells
Physiological assessment in animal models:
Therapeutic exploration:
Small molecule screening to identify compounds that rescue processing defects
Gene therapy approaches to restore HID1 function in affected tissues
Evaluation of hormone replacement therapies tailored to HID1-deficient phenotypes
This comprehensive approach enables researchers to establish clear mechanistic links between HID1 dysfunction and hormone processing disorders, potentially leading to novel diagnostic and therapeutic strategies.
Given HID1's potential role in cancer development across various tissues , designing robust experiments to elucidate its mechanism requires careful consideration:
Clinical correlation studies:
Analysis of HID1 expression across tumor types using tissue microarrays
Correlation of expression levels with patient outcomes and clinicopathological features
Genomic analysis to identify HID1 mutations, copy number variations, or epigenetic silencing
Mechanistic investigation models:
Inducible HID1 knockdown/overexpression in relevant cancer cell lines
CRISPR-Cas9 engineering of cancer-associated HID1 mutations
3D organoid cultures to study HID1's role in a more physiologically relevant context
Functional readouts:
Cell proliferation and apoptosis assays under various stress conditions
Migration and invasion assays to assess metastatic potential
Anchorage-independent growth assays (soft agar colony formation)
Secretome analysis:
Quantitative proteomics of secreted factors in HID1-modulated cells
Analysis of extracellular vesicle content and release dynamics
Assessment of growth factor processing and maturation
In vivo tumor models:
Xenograft studies comparing growth rates of tumors with modified HID1 expression
Genetically engineered mouse models with tissue-specific HID1 alterations
Analysis of tumor microenvironment interactions
Therapeutic vulnerability assessment:
Synthetic lethality screens to identify context-dependent vulnerabilities
Drug sensitivity profiling based on HID1 status
Combination approaches targeting both HID1 and compensatory pathways
These experimental designs allow for comprehensive evaluation of HID1's role in cancer development while providing insights into potential therapeutic strategies based on HID1 status.
Development of next-generation HID1 antibodies requires sophisticated approaches that leverage structural biology and advanced screening methodologies:
Epitope selection strategy:
Structural analysis of HID1 protein to identify accessible, unique epitopes
Bioinformatic comparison across species to identify conserved vs. divergent regions
Consideration of known post-translational modifications and protein interaction sites
Advanced immunization approaches:
Use of structured peptide antigens that maintain native conformation
DNA immunization with optimized HID1 expression constructs
Prime-boost strategies combining different antigen formats
Novel antibody discovery platforms:
Recombinant antibody engineering:
Conversion of conventional antibodies to recombinant formats for improved consistency
Affinity maturation through directed evolution approaches
Development of bispecific formats targeting HID1 plus Golgi markers for improved specificity
Comprehensive validation matrix:
Testing across multiple techniques (Western blot, immunofluorescence, immunoprecipitation)
Evaluation in tissues from multiple species to confirm cross-reactivity
Quantitative assessment of sensitivity using defined concentrations of recombinant protein
Format diversification:
Development of directly conjugated primary antibodies to eliminate secondary antibody steps
Creation of nanobody formats for improved penetration in tissue sections
Generation of proximity labeling antibody conjugates for improved detection of protein-protein interactions
By implementing these considerations, researchers can develop HID1 antibodies with substantially improved performance characteristics for diverse experimental applications.
Investigation of HID1's role in glucose metabolism requires integrated approaches spanning from molecular mechanisms to whole-organism physiology:
Conditional knockout models:
Physiological characterization:
Islet function analysis:
Ex vivo glucose-stimulated insulin secretion assays
Perifusion studies to assess first and second phase insulin release
Calcium imaging to evaluate β-cell excitability and signaling
Molecular mechanism investigation:
Translational relevance:
Screening for HID1 variants in patients with monogenic diabetes
Development of biomarkers based on proinsulin/insulin ratios
Exploration of therapeutic approaches to enhance insulin processing
This comprehensive approach has already yielded significant insights, demonstrating that HID1 deficiency in β cells leads to glucose intolerance despite normal insulin sensitivity, likely due to defective proinsulin processing and secretory granule maturation .
Detecting subtle changes in vesicle trafficking dynamics requires sophisticated methodological approaches:
Live-cell imaging techniques:
Spinning disk confocal microscopy for high-speed acquisition
Total internal reflection fluorescence (TIRF) microscopy to visualize membrane-proximal events
Lattice light-sheet microscopy for extended 3D imaging with minimal phototoxicity
Cargo-specific tracking strategies:
pH-sensitive fluorescent protein fusions (pHluorin) to monitor vesicle fusion events
Photoactivatable/photoconvertible fluorescent proteins for pulse-chase visualization
Multi-color labeling to distinguish different vesicle populations
Quantitative analytical frameworks:
Automated particle tracking algorithms for vesicle movement analysis
Mean square displacement calculations to characterize motion types
Dwell time analysis at different subcellular compartments
Functional secretion assays:
Ultrastructural approaches:
Biochemical fractionation:
Isolation of different vesicle populations using density gradient centrifugation
Proteomic analysis of vesicle composition in normal vs. HID1-deficient cells
In vitro reconstitution of vesicle fusion using isolated fractions
These methodological approaches have revealed that HID1 deficiency results in accumulation of immature secretory granules due to impaired homotypic fusion , providing mechanistic insight into the functional role of HID1 in the secretory pathway.
Given the association of HID1 mutations with early infantile encephalopathy , HID1 antibodies can be strategically employed in neurodevelopmental disorder research:
Neuropathological analysis:
Assessment of HID1 expression patterns in developing vs. mature human brain tissues
Comparison of HID1 localization in patient-derived brain tissues with controls
Correlation of HID1 distribution with markers of synaptogenesis and neurite outgrowth
Cellular model systems:
Immunostaining in iPSC-derived neuronal cultures from patients with HID1 mutations
Analysis of neuronal morphology and synaptic development in relation to HID1 expression
Time-course studies during neuronal differentiation to identify critical developmental windows
Functional correlations:
Co-labeling with markers of neurotransmitter release machinery
Analysis of dense core vesicle distribution in neuronal processes
Assessment of activity-dependent changes in HID1 localization
Comparative disease studies:
Immunohistochemical comparison across multiple neurodevelopmental disorders
Assessment of HID1 expression in models of epilepsy and encephalopathy
Correlation with other trans-Golgi network proteins implicated in neurological disorders
Therapeutic monitoring:
Evaluation of treatment effects on HID1 localization and function
Development of high-content screening assays using HID1 antibodies
Biomarker development for stratification of patients with vesicular trafficking defects
Postmortem examination of patients with HID1 mutations has confirmed cerebral atrophy with enlarged lateral ventricles , highlighting the importance of studying HID1's role in neurodevelopment and potential therapeutic interventions for associated disorders.
Multiparameter analysis of the secretory pathway requires careful protocol optimization for simultaneous detection of HID1 and other markers:
Antibody compatibility assessment:
Systematic testing of different fixation protocols compatible with all target epitopes
Evaluation of primary antibody species combinations to avoid cross-reactivity
Titration of antibody concentrations to achieve balanced signal intensities
Multiplexed staining strategies:
Sequential immunostaining with careful stripping between rounds
Tyramide signal amplification for detecting low-abundance markers
Use of directly labeled primary antibodies to expand multiplexing capacity
Recommended marker combinations:
Imaging considerations:
Spectral unmixing for closely overlapping fluorophores
Sequential scanning to minimize bleed-through
Super-resolution techniques (STED, STORM) for detailed colocalization analysis
Quantitative colocalization workflow:
Channel alignment verification using multicolor beads
Background subtraction tailored to each channel
Application of appropriate colocalization algorithms and statistical analyses
A recommended starter protocol includes:
Fixation with 4% paraformaldehyde for 15 minutes
Permeabilization with 0.1% Triton X-100 for 10 minutes
Blocking with 5% normal serum
Co-incubation with rabbit polyclonal anti-human HID1 antibody (1:100) and mouse monoclonal anti-58k Golgi protein antibody (1:200)
Detection with species-specific secondary antibodies with minimal cross-reactivity
This approach has been successfully used to demonstrate normal colocalization of HID1 with the TGN in fibroblasts of patients with HID1 mutations compared to controls .
Combining immunodetection of HID1 with functional secretion assays provides powerful mechanistic insights:
Integrated live-cell imaging platforms:
Design of experimental chambers allowing antibody access after functional recordings
Development of fixable activity reporters for correlation with post-hoc immunostaining
Implementation of genetically encoded tags for live imaging followed by super-resolution microscopy
Correlative functional-structural analysis:
Cell population segmentation strategies:
Use of microwell arrays to track individual cells through functional assays and immunostaining
Implementation of machine learning algorithms for phenotype classification
Correlation of HID1 expression levels with secretory capacity on a cell-by-cell basis
Temporal coordination approaches:
Synchronization of secretory activity prior to fixation and immunostaining
Time-series collection with fixation at defined points after stimulation
Pulse-chase cargo labeling combined with HID1 immunodetection
Validation in disease models:
This integrated approach has revealed that HID1 deficiency results in significantly reduced extracellular acidification rates upon stimulation with potassium chloride in patient fibroblasts compared to controls , establishing a direct link between HID1 expression and secretory function.