MBD11 Antibody
Description
MBD1 Antibody Characteristics
MBD1 antibodies target the Methyl-CpG-binding domain protein 1, a transcriptional repressor involved in DNA methylation-mediated gene silencing. Key features include:
Epigenetic Regulation
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Binds methylated DNA via its MBD domain and recruits histone modifiers (e.g., SETDB1, HDAC3) to establish repressive chromatin states .
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Regulates FOXO3a transcription in hematopoietic stem cells (HSCs), maintaining quiescence via ChIP-validated promoter binding .
Cancer Biology
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In gastric cancer (GC), MBD1/HDAC3 complexes suppress miR-5701, promoting tumor progression. Key findings include:
| Clinical Correlation (GC) | Statistical Significance (p-value) |
|---|---|
| Lower miR-5701 in male patients | 0.04 |
| No correlation with age or grade | 0.50–0.90 |
| Inverse link to FGFR2 expression | Validated via luciferase assays |
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Overexpression of miR-5701 reduces GC cell proliferation by 40% and increases apoptosis 2.5-fold via caspase-3/9 activation .
Chromatin Immunoprecipitation (ChIP)
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MBTD1 (a related protein) antibodies immunoprecipitate promoter regions of FOXO3a in HSCs, confirmed by primer-specific PCR .
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MBD1 antibodies validate direct binding to the miR-5701 promoter in GC cells, colocalizing with HDAC3 in nuclei .
Therapeutic Targeting
Product Specs
Target Background
Q&A
Based on analysis of current research literature, here's a structured FAQ addressing key scientific considerations for CD11d antibody research (note: "MBD11" appears to be a nomenclature discrepancy - all available data references CD11d antibodies):
Advanced Research Challenges
What computational methods enable antibody design optimization?
The RosettaAntibodyDesign (RAbD) framework provides:
Design Parameter Optimization Table
Experimental validation showed 10-50× affinity improvements through:
Technical Conflict Resolution
How to address contradictory signaling data in different cell models?
Case example: Anti-CD11d-2 shows no signaling in THP-1 cells vs primary neutrophils
Resolution Protocol:
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Microscopy Validation
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Structured illumination microscopy (SIM) for receptor clustering analysis
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Phosphoproteomics
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Quantify SYK, ERK1/2 phosphorylation states
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Mechanical Stress Testing
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Laminar flow assays to simulate physiological shear
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Critical Consideration: Primary cells show 38% higher mechanosensitive signaling than cell lines
This framework emphasizes mechanistic understanding over empirical observation, incorporating structural biology (AlphaFold predictions ), computational design , and multi-modal validation. Researchers should prioritize:
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Conformation-independent binding validation
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Species-specific functional testing
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Surface expression calibration protocols
