HDDC3 Antibody is a primary antibody targeting the HD domain-containing protein 3 (HDDC3), also known as MESH1 (Metazoan SpoT homolog 1). This antibody is critical for studying HDDC3’s role in cellular stress responses, particularly its function as a (p)ppGpp hydrolase involved in starvation adaptation and metabolic regulation . It is widely used in immunohistochemistry (IHC), Western blotting (WB), immunofluorescence (IF), and immunoprecipitation (IP) to detect HDDC3 expression in human, mouse, and rat tissues .
HDDC3 Antibody enables insights into HDDC3’s biological roles and therapeutic potential:
Starvation Response: HDDC3 hydrolyzes ppGpp, a bacterial alarmone critical for stress adaptation. In metazoans, it regulates cell survival under nutrient deprivation .
Cancer Research:
Proliferation Arrest: MESH1 knockdown in cancer cells induces cell cycle arrest and reduces tumor growth via TAZ repression, mediated by HDAC5-dependent epigenetic silencing .
Immunotoxin Sensitivity: HDDC3 knockdown enhances sensitivity to immunotoxins (e.g., SS1P) by disrupting secretory pathway components .
Brain Tissue: General cytoplasmic and nuclear expression in human brain regions, including cerebral cortex and hippocampus .
Cancer Tissues: Detected in prostate, colorectal, and renal cancers, with implications for targeted therapies .
Cancer: HDDC3’s role in regulating TAZ and HDAC5 positions it as a potential target for epigenetic therapies .
Metabolic Disorders: Involved in nutrient sensing and stress adaptation, linking it to obesity and diabetes research .
Neurological Disorders: Brain expression patterns suggest roles in neurodegeneration or synaptic plasticity .
Epigenetic Modulation: Exploring HDDC3-HDAC5 interactions to develop HDAC inhibitors for cancer therapy .
Immunotherapy: Leveraging HDDC3’s role in immunotoxin sensitivity to enhance targeted cancer treatments .
Biomarker Discovery: Investigating HDDC3 as a prognostic marker in colorectal or renal cancers .
The HDDC3 antibody targets a ppGpp hydrolase enzyme involved in the cellular starvation response.
Validation of HDDC3 antibody specificity requires a multi-step approach. First, use knockout (KO) cell lines or siRNA-mediated knockdown to confirm the absence of a band at the expected molecular weight (20–25 kDa) . Second, compare observed bands against calculated molecular weights (20 kDa for human HDDC3) and note potential post-translational modifications that may explain discrepancies . For example, Proteintech’s 21091-1-AP antibody detects a 22–25 kDa band in human heart tissue, suggesting glycosylation or phosphorylation . Third, employ blocking peptides (where available) to competitively inhibit antibody-antigen binding .
HDDC3 is widely expressed, but its detection efficacy varies by tissue preparation. Proteintech’s validation data show robust signals in human prostate cancer, brain, breast cancer, and kidney tissues using antigen retrieval with Tris-EDTA buffer (pH 9.0) . Mouse tissues (heart, lung, testis) also yield consistent results at antibody dilutions of 1:50–1:500 . For fatty or densely fibrous tissues, citrate buffer (pH 6.0) may improve epitope accessibility .
Optimal dilutions depend on antigen abundance and detection method:
Western blotting: Start at 1:1000–1:4000 for high-abundance samples (e.g., A549 cells) .
Immunoprecipitation (IP): Use 0.5–4.0 µg antibody per 1–3 mg lysate .
IHC: Titrate between 1:50 and 1:500, prioritizing lower dilutions for low-expressing tissues like brain .
“Sample-dependent variability necessitates titration in each experimental system.”
Include:
Negative controls: Lysates from HDDC3 KO models.
Cross-reactivity controls: Test species specificity (e.g., human vs. rat) .
Standard curve: Recombinant HDDC3 protein to quantify linear detection ranges .
Bioss’s bs-8061R antibody has demonstrated specificity across seven species, including dog and cow, but validation in novel models (e.g., zebrafish) requires parallel blotting .
Discrepancies often arise from post-transcriptional regulation or antibody cross-reactivity. To address this:
Perform RNA-protein correlation assays using qRT-PCR and quantitative Western blotting.
Validate antibodies with multiple epitopes (e.g., N-terminal vs. C-terminal) .
Assess protein turnover rates via cycloheximide chase assays .
A 2024 study found that HDDC3’s half-life varies from 8–24 hours depending on cellular stress, complicating direct mRNA-protein comparisons .
HDDC3 antibodies often exhibit broad reactivity due to conserved HD domains. For species-specific studies:
Use immunogen sequence alignment to identify divergent regions. Bioss’s bs-8061R targets residues 61–179 of human HDDC3, which share 89% homology with mice but only 76% with zebrafish .
Combine Western blotting with mass spectrometry to confirm target identity .
Employ CRISPR-Cas9 tagging (e.g., HA/FLAG) for unambiguous detection in novel models .
HDDC3 localizes to both the cytoplasm and nucleus, necessitating compartment-specific protocols :
Cytoplasmic enrichment: Use digitonin-based fractionation.
Nuclear isolation: Employ high-salt buffers (e.g., 420 mM NaCl).
Immunofluorescence (IF): Fix cells with paraformaldehyde (4%) and permeabilize with 0.1% Triton X-100 .
Thin-layer chromatography (TLC): Measure ppGpp hydrolysis in lysates from HDDC3-overexpressing cells .
Stress induction: Treat cells with serine hydroxamate (SHX) to activate stringent responses and quantify ppGpp levels via LC-MS .
Enzymatic kinetics: Use purified HDDC3 to determine and under varying Mg²⁺ concentrations .
Non-specific bands may arise from:
Antibody aggregation: Centrifuge antibodies at 12,000×g before use .
Proteolytic degradation: Add fresh protease inhibitors (e.g., PMSF, leupeptin).
Cross-reactivity: Pre-adsorb antibodies with tissue lysates from KO models .
Proteintech’s data show that 21091-1-AP produces a single band in HeLa cells but multiple bands in A431 cells, suggesting cell line-specific isoforms .
IHC is semi-quantitative and prone to: