MORC1 Antibody, Biotin conjugated is a polyclonal antibody generated in rabbits against specific regions of the human MORC1 protein. The biotin tag enables high-sensitivity detection in assays like ELISA and immunohistochemistry (IHC) through streptavidin-based amplification . Key features include:
MORC1 facilitates chromatin compaction and gene silencing by topologically entrapping DNA. Studies in C. elegans demonstrate that MORC-1 binds DNA non-specifically, forms multimeric assemblies, and compacts chromatin through loop entrapment. This activity is ATP-independent but enhanced by ATP analogs .
MORC1 is essential for male fertility, as knockout models exhibit testis-specific apoptosis and spermatogenesis defects. The antibody has been used to localize MORC1 in germline cells and validate its expression in human testis and cervical cancer tissues .
Cancer: MORC1 is overexpressed in some cancers (e.g., cervical cancer) and classified as a cancer/testis antigen (CT33) .
Neurological Disorders: MORC1 is implicated in mood regulation and stress responses, though detection in brain tissue requires high antibody specificity due to low expression .
MORC1 compacts DNA into loops via static foci formation, with compaction rates proportional to protein concentration .
Phase-separated droplets of MORC1 form in vitro, suggesting a role in nuclear body organization .
Mouse Studies: MORC1-deficient males are infertile due to defective spermatogenesis, while females remain unaffected .
C. elegans: MORC-1 loss disrupts transgenerational gene silencing and heterochromatin stability .
Antibody Specificity: Polyclonal MORC1 antibodies may show non-specific bands in Western blots, particularly in brain lysates requiring high protein loads .
Optimal Dilutions: Recommended dilutions vary by application (e.g., ELISA: 1:2,000–1:10,000; IHC: 1:20–1:200) .
| Supplier | Catalog Number | Immunogen Region | Applications | Price (USD) |
|---|---|---|---|---|
| Biocompare | N/A | C-terminal (892–921) | ELISA | $190 |
| Novus Biologicals | NBP2-98518B | Full-length or N-terminal | WB, IHC, ELISA | Inquire |
Western blotting experiments reveal that MORC1 protein appears as a prominent band at approximately 110 kDa, which corresponds to the estimated molecular weight of Rattus norvegicus MORC1 protein (109 kDa) . When using MORC1 antibodies for detection, researchers should be aware that multiple bands may appear due to the polyclonal properties of certain antibodies, particularly when high amounts of protein lysate are loaded. A prominent secondary band at around 180 kDa has been observed, especially in P42 and adult brain samples when applying 100 μg of total protein .
For successful anti-MORC1 staining in brain samples, approximately 100 μg of protein is necessary, whereas only 20 μg of protein from testis tissue is sufficient . This difference reflects the higher expression of MORC1 in testis compared to brain tissue. When designing experiments with MORC1 antibodies, researchers should consider tissue-specific expression levels and adjust protein loading accordingly to achieve optimal detection while minimizing non-specific binding.
MORC1 mRNA is detected at similar levels across all developmental stages examined (embryonic day 14, postnatal days 2, 22, 42, and adult >60 days), with slightly higher expression at postnatal days 2 and 42 . Expression appears relatively uniform across different brain regions . This consistent expression pattern suggests that MORC1 may play important roles throughout neurodevelopment rather than being stage-specific, and alterations in its expression due to early life stress could potentially disrupt normal development across multiple brain regions.
When designing ChIP experiments with biotin-conjugated MORC1 antibodies, researchers must consider MORC1's DNA binding properties. MORC1 binds to DNA in a length-dependent but sequence non-specific manner, with preference for DNA fragments longer than 1000 bp at lower concentrations (<400 nM) . At higher concentrations (>800 nM), MORC1 can also bind shorter DNA fragments .
For optimal ChIP results, consider the following protocol adaptations:
Use sonication conditions that generate DNA fragments >1000 bp to enhance MORC1 binding
Include controls to assess non-specific binding, as MORC1 appears to have little sequence specificity
Optimize salt concentration in wash buffers (avoid NaCl >300 mM, as DNA compaction by MORC1 does not occur at concentrations above this threshold)
Include ATP in binding buffers when possible, as it may enhance MORC1-DNA interactions
Distinguishing specific from non-specific binding is particularly challenging with MORC1 antibodies due to multiple factors:
Polyclonal antibodies against MORC1 can produce multiple bands in Western blots, as observed in previous studies
High amounts of protein lysate (100 μg for brain samples) required for detection can increase non-specific binding
Methodological approaches to address this challenge include:
Validation with knockout controls: Even truncated MORC1 protein from knockout mice may be detected by some antibodies. For example, Western blotting detected a slight band at 110 kDa in Morc1(-/-) mouse samples when using 100 μg of total protein . Compare signals between wildtype and knockout samples to identify specific bands.
Sequential dilution analysis: Prepare a dilution series of protein lysates to identify concentration-dependent versus concentration-independent bands. True MORC1 signals should decrease proportionally with dilution.
Competitive binding assays: Pre-incubate antibodies with purified MORC1 protein before application to samples to block specific binding sites.
Cross-validation with multiple antibodies: Use antibodies targeting different epitopes of MORC1 to confirm consistent results across detection methods.
MORC1's ability to compact DNA through loop formation and its capability to form nuclear puncta and phase-separated droplets have significant implications for ChIP experimental design and interpretation .
When interpreting ChIP-seq data using MORC1 antibodies:
Topological entrapment considerations: MORC1 molecules can diffuse along DNA but become static as they grow into foci that are topologically entrapped on DNA . This may result in ChIP signals that do not necessarily reflect sequence-specific binding.
ATP dependence: While DNA compaction by MORC1 does not absolutely require ATP, it is stimulated by ATP addition and especially by non-hydrolyzable ATP analogs . Consider including ATP in experimental buffers to maintain physiological interactions.
Chromatin compaction effects: MORC1 can compact nucleosome templates , potentially creating regions of dense chromatin that may be inaccessible to some antibodies. This could lead to bias in ChIP experiments toward more accessible regions.
Salt sensitivity: MORC1-DNA interactions are sensitive to salt concentration, with compaction occurring at 150 mM NaCl but not at concentrations above 300 mM . Adjust wash conditions accordingly to maintain relevant interactions.
Based on published methodologies, the following optimized Western blotting protocol for MORC1 detection is recommended:
Sample preparation:
Brain tissue: 100 μg total protein
Testis tissue: 20 μg total protein
Prepare in radioimmunoprecipitation assay buffer
Gel electrophoresis:
Use 8% SDS-polyacrylamide gel
Run at 100V for 20 minutes, then 120V for 1.5 hours
Protein transfer:
Transfer to methanol-activated PVDF membrane (0.45 μm)
Transfer for 1 hour at 100V on ice
Blocking:
Block membrane in 5% non-fat milk in 1× TBST
Incubate for 1 hour with gentle agitation at room temperature
Antibody incubation:
Primary antibody: anti-MORC1 (1:500 dilution) in appropriate buffer
Incubate overnight at 4°C
Secondary antibody: anti-rabbit HRP (1:5000) in 2% non-fat milk in 1× TBST
Incubate for 1 hour at room temperature
Detection:
Use enhanced chemiluminescent detection reagent
Image using a chemiluminescence imaging system
Controls:
When designing immunofluorescence experiments with biotin-conjugated MORC1 antibodies, consider MORC1's cellular distribution pattern and the following optimization strategies:
Fixation optimization:
Permeabilization:
Use 0.1-0.3% Triton X-100 for adequate nuclear permeabilization
Extended permeabilization may be necessary to access MORC1 in condensed chromatin regions
Blocking considerations:
Include avidin/biotin blocking steps to prevent non-specific binding of detection reagents to endogenous biotin
Use BSA rather than milk for blocking when using biotin-conjugated antibodies
Detection system:
Employ streptavidin-conjugated fluorophores for direct detection of biotinylated antibodies
Consider tyramide signal amplification for enhanced sensitivity when detecting low-abundance MORC1
Controls:
Include peptide competition controls to verify specificity
Compare staining patterns with published MORC1 nuclear localization data
Co-localization studies:
Accurate quantification of MORC1 expression requires attention to several methodological considerations:
| Quantification Method | Key Considerations | Advantages | Limitations |
|---|---|---|---|
| Western blotting | - High protein amount required (100 μg for brain) - Multiple bands may appear - Standardize to loading controls | - Provides information about protein size - Can distinguish specific bands | - Limited spatial information - Semi-quantitative - Non-specific bands may interfere |
| Immunohistochemistry | - Commercial antibodies may have limited specificity - Signal may be weak in brain tissue - Nuclear puncta pattern | - Preserves spatial information - Can detect cell-type specific expression | - Difficult to quantify - May not detect truncated proteins |
| ELISA | - Requires validation with recombinant MORC1 - May need sandwich approach for specificity | - More quantitative - High throughput | - Lacks spatial information - May detect non-functional fragments |
| qPCR (mRNA) | - Requires 60 ng RNA for brain tissue - Should normalize to stable reference genes | - Highly sensitive - Specific primers can distinguish variants | - Measures mRNA, not protein - May not reflect protein levels |
For optimal quantification, consider:
Including recombinant MORC1 standards at known concentrations
Validating antibody specificity using knockout or knockdown samples
Using digital image analysis software for densitometry with appropriate background subtraction
Reporting results as fold-change relative to appropriate controls rather than absolute values
MORC1 has been implicated in early life stress (ELS) and depression through altered DNA methylation patterns . Researchers can design experiments using MORC1 antibodies to investigate this relationship through several approaches:
Chromatin immunoprecipitation followed by sequencing (ChIP-seq):
Use biotin-conjugated MORC1 antibodies to identify genomic regions bound by MORC1
Compare binding patterns between control and ELS-exposed animals
Correlate with DNA methylation changes at specific loci
Co-immunoprecipitation:
Identify protein interaction partners of MORC1 in different brain regions
Determine if these interactions are altered by ELS exposure
Map the interactome changes to relevant signaling pathways
Proximity ligation assays:
Investigate in situ protein-protein interactions involving MORC1
Quantify changes in interaction frequency following stress exposure
Correlate with behavioral phenotypes
Tissue-specific expression analysis:
MORC1's ability to compact DNA through loop formation suggests a potential role in gene regulation . The following experimental approaches can help elucidate this function:
Combined ChIP-seq and ATAC-seq:
Map MORC1 binding sites genome-wide using biotin-conjugated antibodies
Correlate binding with changes in chromatin accessibility
Identify genes whose expression correlates with MORC1-mediated chromatin changes
CRISPR-mediated recruitment:
Fuse catalytically inactive Cas9 (dCas9) with MORC1 domains
Target specific genomic loci using guide RNAs
Assess changes in local chromatin compaction and gene expression
Hi-C analysis:
Compare chromosome conformation capture data between wildtype and MORC1-depleted cells
Identify topologically associated domains affected by MORC1 loss
Correlate with transcriptional changes
In vitro reconstitution:
Single-molecule imaging:
Visualize MORC1-DNA interactions in real-time using fluorescently labeled components
Quantify rates of compaction and loop formation
Test effects of mutations in MORC1 functional domains on compaction activity
Given MORC1's expression throughout brain development and its potential role in early neurodevelopment , several experimental approaches using MORC1 antibodies can help investigate its role in neurodevelopmental disorders:
Developmental expression profiling:
Quantify MORC1 protein levels across brain regions during critical developmental windows
Compare expression patterns between control and disease models
Correlate with the emergence of behavioral phenotypes
Cell-type specific analysis:
Use immunohistochemistry with biotin-conjugated MORC1 antibodies in combination with cell-type markers
Determine which neural cell types express MORC1 during development
Assess whether expression patterns are altered in disease models
Pathway analysis:
Identify signaling pathways affected by MORC1 dysregulation
Use phospho-specific antibodies to detect changes in downstream effectors
Map these changes to known neurodevelopmental pathways
Genome-wide association:
Correlate MORC1 genetic variants with neurodevelopmental phenotypes
Use biotin-conjugated antibodies to assess the functional impact of these variants on MORC1 protein interactions
Develop cellular models expressing disease-associated variants
Neuronal morphology assessment:
Quantify the effects of MORC1 manipulation on neuronal development
Assess dendrite formation, synaptogenesis, and axon guidance
Correlate structural changes with functional outcomes using electrophysiology
Several emerging technologies could significantly enhance the utility of MORC1 antibodies in neuropsychiatric research:
Spatial transcriptomics combined with antibody detection:
Map MORC1 protein localization in tissue sections alongside transcriptomic data
Correlate MORC1 binding with local gene expression changes
Identify cell type-specific effects in complex brain regions
Single-cell proteomics:
Quantify MORC1 protein levels in individual cells within heterogeneous populations
Identify rare cell populations with unique MORC1 expression patterns
Correlate with single-cell transcriptomic data
Nanobody development:
Generate smaller antibody fragments against MORC1 for improved tissue penetration
Develop intrabodies for live-cell imaging of MORC1 dynamics
Create conformation-specific antibodies that distinguish active and inactive MORC1 states
Proximity-dependent biotinylation:
Fuse MORC1 with promiscuous biotin ligases (BioID, TurboID)
Identify proteins in close proximity to MORC1 in living cells
Map the dynamic MORC1 interactome in different cellular contexts
Optogenetic control of MORC1 function:
Develop light-sensitive MORC1 variants for temporal control of activity
Assess acute effects of MORC1 activation/inactivation on gene expression
Map the kinetics of MORC1-mediated chromatin changes
Given the association between MORC1 methylation and depression , MORC1 antibodies could be valuable tools in developing biomarkers for stress-related disorders:
Methylation-specific antibodies:
Develop antibodies that specifically recognize methylated MORC1 DNA
Use in liquid biopsies to detect altered methylation patterns
Correlate with clinical measures of depression and stress exposure
Peripheral blood assays:
Quantify MORC1 protein levels in accessible peripheral tissues
Correlate with central nervous system pathology in animal models
Validate as predictive biomarkers for treatment response
Post-translational modification mapping:
Develop antibodies specific to stress-induced MORC1 modifications
Create multiplexed assays to detect multiple modification states
Identify modification signatures associated with disease subtypes
Longitudinal monitoring:
Track MORC1 expression and modification state before and after stress exposure
Identify early changes that predict subsequent development of pathology
Develop point-of-care assays for monitoring treatment efficacy
Integration with neuroimaging: