The EM6 antibody (Clone ID: EM6) is an IgG2a isotype monoclonal antibody produced in mice. It recognizes endogenous levels of human Geminin protein, a nuclear protein encoded by the GMNN gene (Uniprot ID: GEMI_HUMAN). Its primary applications are in immunohistochemistry (IHC) for research purposes, with strict limitations to non-diagnostic/non-therapeutic use .
Geminin plays critical roles in cell cycle regulation and DNA replication:
Immunohistochemistry (IHC):
Geminin expression is linked to tumor aggressiveness, making EM6 a marker for proliferative cells in oncology research .
In in vitro models, Geminin knockdown via EM6 antibody disrupts cell cycle progression, validating its utility in mechanistic studies .
Geminin (EM6) Mouse mAb is a monoclonal antibody that specifically targets Geminin (GMNN), a critical cell cycle regulator that inhibits DNA replication by preventing the incorporation of the MCM (minichromosome maintenance) complex into the pre-replication complex (pre-RC) . Geminin plays a crucial role in preventing re-replication of DNA during the S and G2 phases of the cell cycle. The protein is degraded during the mitotic phase, and its destruction at the metaphase-anaphase transition permits replication in the succeeding cell cycle .
Beyond its primary function in DNA replication control, Geminin also:
Inhibits histone acetyltransferase activity of KAT7/HBO1 in a CDT1-dependent manner
Inhibits histone H4 acetylation and DNA replication licensing
Modulates the transcriptional activity of a subset of Hox proteins, linking them to cell proliferation control
These diverse functions make Geminin (EM6) antibody a valuable tool for studying cell cycle regulation, DNA replication, epigenetic modifications, and developmental processes.
The Geminin (EM6) Mouse mAb has been validated for several key research applications:
| Application | Dilution Range | Special Considerations |
|---|---|---|
| IHC Leica Bond | 1:50 - 1:200 | Optimized for human tissue samples |
| Immunohistochemistry (Paraffin) | 1:50 | Validated for human samples |
Methodological Considerations:
The antibody shows confirmed reactivity with human samples (H)
For optimal results in IHC applications, avoid aliquoting the antibody to prevent performance degradation
When designing experiments, researchers should validate the antibody in their specific experimental system, as reactivity may vary depending on tissue type, fixation method, and processing procedures.
When optimizing IHC protocols for Geminin (EM6) antibody detection, researchers should implement a structured approach:
Test both heat-induced epitope retrieval (HIER) and enzymatic retrieval methods
For HIER, evaluate citrate buffer (pH 6.0) versus EDTA buffer (pH 9.0)
Determine optimal retrieval duration (10-30 minutes) through time course experiments
Perform titration experiments using the recommended 1:50-1:200 dilution range
Include both positive and negative control tissues in each experimental run
For human tissues, use samples known to express Geminin (proliferating tissues like colon crypts or tonsil germinal centers)
Compare different secondary detection systems (polymer-based versus avidin-biotin complex)
Evaluate signal-to-noise ratio for each detection method
Consider signal amplification methods for low-abundance targets
Adjust counterstain intensity to ensure Geminin nuclear staining remains clearly visible
Consider dual staining with proliferation markers (Ki-67) to confirm correct staining pattern
For thorough protocol optimization, researchers can employ Design of Experiment (DOE) approaches to systematically evaluate multiple variables simultaneously, reducing the total number of experiments required while identifying optimal conditions .
Validating antibody specificity is crucial for ensuring reliable research results. For EM6 antibody, researchers should implement multiple validation strategies:
Primary Validation Approaches:
Genetic Control Validation
Use Geminin knockout/knockdown cell lines as negative controls
Compare staining patterns between wild-type and Geminin-depleted samples
Verify absence of signal in knockout/knockdown systems
Cell Cycle-Dependent Expression Analysis
Synchronize cells at different cell cycle stages
Confirm that Geminin detection follows expected cell cycle-dependent patterns (low in G1, high in S and G2 phases)
Compare with established cell cycle markers
Western Blot Correlation
Perform Western blot analysis alongside IHC to confirm specificity
Verify that both methods detect proteins of the expected molecular weight
Peptide Competition Assay
Pre-incubate the antibody with specific blocking peptides
Confirm signal reduction/elimination when the antibody is blocked
Alternative Antibody Comparison
Compare staining patterns with other validated anti-Geminin antibodies
Consistent patterns across different antibodies support specificity
Implementing these validation steps creates a robust foundation for experimental rigor and reproducibility, essential for high-quality research publications.
To investigate Geminin's mechanism in preventing DNA re-replication, researchers can employ the EM6 antibody in sophisticated experimental approaches:
Use EM6 antibody to immunoprecipitate Geminin and associated proteins
Identify interactions with key replication factors including Cdt1, MCM subunits, and HBO1
Research has shown direct interactions between Geminin and Cdt1, MCM3, and MCM5 subunits that can be detected via co-IP
Fractionate cells into soluble and chromatin-bound fractions
Detect Geminin and pre-RC components (ORC, Cdc6, Cdt1, MCM2-7) by Western blotting
Analyze how Geminin depletion affects chromatin loading of MCM proteins
Establish in vitro pre-RC assembly systems using purified components
Add or deplete Geminin to assess effects on MCM loading
Research has shown that Geminin "inhibits the formation of stable pre-RCs that are resistant to high salt," suggesting it acts at a late step in pre-RC assembly
Advanced Data Interpretation Considerations:
Geminin's inhibitory effect occurs after MCM recruitment but before stable pre-RC formation
Studies have demonstrated that "HsGeminin does not prevent the initial formation of DNA-protein complexes containing the pre-RC proteins"
This indicates Geminin acts through a mechanism distinct from simple prevention of MCM recruitment
When analyzing results, researchers should consider the timing of Geminin's actions during cell cycle progression, as its effects may vary depending on the specific phase and contextual protein interactions.
Investigating Geminin-Cdt1-MCM interactions requires a carefully planned experimental design combining multiple complementary techniques:
Perform initial ChIP with EM6 antibody to pull down Geminin-bound chromatin
Re-ChIP the eluted material with antibodies against Cdt1 or MCM proteins
Analyze DNA enrichment at replication origins using qPCR or sequencing
This approach reveals the co-occupancy of Geminin, Cdt1, and MCM proteins at specific genomic loci
Use EM6 antibody in combination with antibodies against Cdt1 or MCM proteins
PLA generates fluorescent signals only when proteins are in close proximity (<40 nm)
Quantify interaction signals in different cell cycle phases
Research has identified direct interactions between Geminin and MCM3/MCM5 subunits that can be visualized using this approach
Label EM6 antibody with donor fluorophore
Label anti-Cdt1 or anti-MCM antibodies with acceptor fluorophore
Measure FRET efficiency to quantify protein-protein interactions in situ
This approach provides spatial information about interactions within the nucleus
Data Interpretation Framework:
Analyze interaction dynamics throughout the cell cycle
Compare interaction patterns at different replication origins
Correlate interaction strength with replication timing
Research has demonstrated that "HsGeminin interacts directly with the HsMcm3 and HsMcm5 subunits of HsMCM2–7, as well as with HsCdt1"
These approaches provide complementary data on physical interactions, genomic co-localization, and functional relationships between Geminin and pre-replication components.
DOE approaches provide systematic frameworks for optimizing complex assays with multiple variables. When working with EM6 antibody, researchers can implement DOE strategies as follows:
Identify key performance indicators (signal-to-noise ratio, specificity, sensitivity)
Establish acceptable ranges for each parameter
Create an analytical target profile specifying desired assay performance
Use an Ishikawa (fishbone) diagram to identify potential factors affecting assay performance
Categorize factors into groups (equipment, analyst, environment, method, materials)
Create a cause-and-effects matrix to rank factors based on potential impact
Implement a fractional factorial design to evaluate multiple factors with fewer experiments
Typical critical factors include:
Based on screening results, design a response surface method (RSM) DOE
Use central composite design or Box-Behnken design to capture non-linear relationships
For example, a central composite design for three factors would require 16 experimental runs
Example RSM DOE for EM6 Antibody Optimization:
| Run | Antibody Dilution | Incubation Time | Antigen Retrieval Time | Block |
|---|---|---|---|---|
| 1 | Low (1:200) | Low (30 min) | Low (10 min) | 1 |
| 2 | High (1:50) | Low (30 min) | Low (10 min) | 1 |
| 3 | Low (1:200) | High (90 min) | Low (10 min) | 1 |
| 4 | High (1:50) | High (90 min) | Low (10 min) | 1 |
| 5 | Low (1:200) | Low (30 min) | High (30 min) | 1 |
| 6 | High (1:50) | Low (30 min) | High (30 min) | 1 |
| 7 | Low (1:200) | High (90 min) | High (30 min) | 1 |
| 8 | High (1:50) | High (90 min) | High (30 min) | 1 |
| 9 | Mid (1:100) | Mid (60 min) | Mid (20 min) | 2 |
| 10 | Mid (1:100) | Mid (60 min) | Mid (20 min) | 2 |
| 11 | Mid (1:100) | Mid (60 min) | Mid (20 min) | 2 |
| 12 | Low (1:200) | Mid (60 min) | Mid (20 min) | 2 |
| 13 | High (1:50) | Mid (60 min) | Mid (20 min) | 2 |
| 14 | Mid (1:100) | Low (30 min) | Mid (20 min) | 2 |
| 15 | Mid (1:100) | High (90 min) | Mid (20 min) | 2 |
| 16 | Mid (1:100) | Mid (60 min) | Low (10 min) | 2 |
Research has shown that DOE approaches can significantly improve assay accuracy, with optimized conditions resulting in accuracy ranges of 96% to 108% across specified ranges, compared to pre-optimization accuracy of 102% to 135% .
To comprehensively analyze DNA replication licensing, researchers should implement multi-parameter approaches combining EM6 antibody with other key cell cycle regulators:
Sample Preparation Protocol:
Fix cells with 4% paraformaldehyde (10 minutes at room temperature)
Permeabilize with 0.1% Triton X-100 (5 minutes)
Block with 3% BSA in PBS (30 minutes)
Incubate with antibody cocktail containing:
EM6 antibody (Geminin detection)
Anti-Cdt1 antibody
Anti-MCM proteins (MCM2 or MCM7)
Anti-PCNA or EdU labeling (S-phase marker)
Panel Design for Comprehensive Licensing Analysis:
| Marker | Fluorophore | Function | Cell Cycle Phase |
|---|---|---|---|
| EM6 (Geminin) | FITC | Inhibits re-replication | S, G2, early M |
| Cdt1 | PE | Promotes MCM loading | G1, early S |
| MCM2/7 | APC | Replicative helicase component | Throughout cell cycle |
| PCNA | Pacific Blue | DNA replication fork | S phase |
| DNA content | PI or DAPI | Cell cycle position | All phases |
Gating Strategy and Analysis:
Gate cells based on DNA content to identify G1, S, and G2/M populations
Within each cell cycle phase, analyze the expression patterns of licensing factors
Identify distinct cellular states:
G1: Cdt1(+)/Geminin(−)/MCM chromatin-bound
Early S: Cdt1(−)/Geminin(+)/PCNA(+)
Late S/G2: Geminin(+)/PCNA(−)
This multi-parameter approach provides quantitative data on the temporal dynamics of replication licensing factors throughout the cell cycle. Importantly, research has demonstrated that "Geminin does not prevent association of the pre-replication proteins, but blocks a late step in pre-RC assembly" , which should be considered when interpreting results.
Monitoring the cell cycle-dependent degradation of Geminin requires specialized approaches that account for the protein's dynamic regulation:
Synchronize cells using established methods:
Double thymidine block (G1/S boundary)
Nocodazole arrest (M phase)
Mitotic shake-off (early G1)
Collect samples at defined intervals (every 1-2 hours)
Perform Western blotting using EM6 antibody
Quantify Geminin levels relative to loading controls (tubulin, GAPDH)
Plot degradation kinetics in relation to cell cycle markers
Technical Considerations:
Include multiple cell cycle markers to precisely define cell cycle stages:
Cyclin B1 (G2/M marker)
Phospho-histone H3 (M phase marker)
Cyclin E (G1/S marker)
Use proteasome inhibitors (MG132) in parallel samples to confirm degradation mechanism
Consider shorter time intervals during mitosis when Geminin degradation occurs rapidly
Generate cells expressing fluorescent protein-tagged Geminin
Perform time-lapse microscopy to track protein levels in single cells
Correlate Geminin degradation with morphological changes during mitosis
Quantify fluorescence intensity over time
Key Analytical Considerations:
Geminin is "degraded during the mitotic phase of the cell cycle" and "its destruction at the metaphase-anaphase transition permits replication in the succeeding cell cycle"
Degradation is mediated by the anaphase-promoting complex/cyclosome (APC/C)
Measure degradation rate constants to characterize the kinetics of the process
Compare degradation timing in different cell types or under different conditions
These approaches allow researchers to precisely characterize the timing and regulation of Geminin degradation, providing insights into cell cycle control mechanisms.
To investigate Geminin's role in histone acetyltransferase (HAT) inhibition, researchers can implement the following experimental approaches using EM6 antibody:
Immunoprecipitate KAT7/HBO1 complexes from cells with/without Geminin manipulation
Use EM6 antibody to confirm Geminin presence/absence in the complexes
Perform HAT activity assays on immunoprecipitated complexes
Compare activity levels under different conditions:
Normal expression
Geminin overexpression
Geminin depletion
Addition of recombinant Geminin
Perform ChIP-seq for histone H4 acetylation marks at replication origins
Compare acetylation patterns in cells with normal or manipulated Geminin levels
Integrate with EM6 antibody ChIP-seq to correlate Geminin binding with hypoacetylated regions
Analyze correlation between Geminin binding, Cdt1 presence, and histone acetylation status
Generate cells expressing BioID or APEX2-tagged Geminin
Perform proximity labeling to identify proteins near Geminin
Validate interactions with EM6 antibody-based co-immunoprecipitation
Focus analysis on HAT complexes and associated factors
Mechanistic Model for Data Interpretation:
Research has shown that "Geminin inhibits histone acetyltransferase activity of KAT7/HBO1 in a CDT1-dependent manner, inhibiting histone H4 acetylation and DNA replication licensing" . This suggests a sequential mechanism where:
Geminin interacts with Cdt1
The Geminin-Cdt1 complex associates with KAT7/HBO1
This association inhibits KAT7/HBO1 HAT activity
Reduced histone H4 acetylation prevents MCM loading
Replication licensing is inhibited
When analyzing experimental results, researchers should focus on this temporal sequence and the interdependencies between these steps.
Resolving contradictions in Geminin's interactions with pre-RC components requires systematic approaches that account for context-dependent effects:
Methodological Framework for Resolving Contradictions:
Biochemical Reconstitution Systems
Establish in vitro systems with purified components
Test Geminin effects on pre-RC formation with different protein combinations
Compare results from minimal systems (e.g., Geminin-Cdt1) with complete pre-RC
Research has shown apparently contradictory findings where "HsGeminin inhibits the association of HsCdt1 with DNA or with HsORC-HsCdc6-DNA complexes" in the absence of MCM proteins, but "does not inhibit recruitment of HsMCM2–7 to DNA to form complexes containing all of the pre-RC proteins"
Domain Mapping and Mutational Analysis
Generate Geminin mutants with disrupted binding interfaces
Use EM6 antibody to immunoprecipitate wild-type and mutant Geminin
Compare interaction partners under different conditions
Published research has used mutations like L110A, L114A, E116A, N117A, E118A, H121A, and K122A to create Geminin BD mutants with altered binding properties
Single-Molecule Approaches
Implement fluorescence correlation spectroscopy to analyze binding dynamics
Use total internal reflection fluorescence (TIRF) microscopy to visualize individual complexes
Measure binding/unbinding kinetics to determine the order of assembly
Analyzing Apparently Contradictory Data:
Research has identified several seemingly contradictory aspects of Geminin function:
"In the absence of HsMCM proteins, HsGeminin inhibits the association of HsCdt1 with DNA"
"HsGeminin does not inhibit recruitment of HsMCM2–7 to DNA to form complexes containing all of the pre-RC proteins"
"HsGeminin itself is a component of such complexes, and interacts directly with the HsMcm3 and HsMcm5 subunits of HsMCM2–7, as well as with HsCdt1"
"HsGeminin strongly inhibits the formation of stable pre-RCs that are resistant to high salt"
These findings suggest a model where Geminin doesn't prevent initial complex formation but blocks a later maturation step in pre-RC assembly. Researchers should design experiments that specifically distinguish between these stages of pre-RC formation.
For comparative studies of Geminin function across different contexts, researchers can implement multi-layered experimental designs using EM6 antibody:
Create microarrays containing tissues from different:
Cell/tissue types (proliferative vs. quiescent)
Disease states (normal vs. cancer)
Developmental stages
Quantify staining patterns using digital pathology platforms
Correlate Geminin expression with proliferation markers and clinical parameters
Perform EM6 antibody ChIP-seq across different cell types
Integrate with:
RNA-seq to correlate Geminin binding with transcriptional effects
ATAC-seq to analyze chromatin accessibility
Histone modification ChIP-seq
Compare Geminin genomic localization patterns across contexts
Identify context-specific binding sites and functions
Establish Geminin knockdown/knockout systems in different cell types
Use EM6 antibody to verify Geminin depletion
Perform RNA-seq to identify differentially expressed genes
Conduct synthetic lethality screens to identify context-specific dependencies
Data Interpretation Framework:
Analyze cell cycle-specific expression patterns
Compare nuclear localization patterns
Evaluate co-localization with replication markers
Assess correlation with proliferation indices
Research has shown that Geminin is involved in multiple cellular processes beyond DNA replication, including "histone acetyltransferase activity" inhibition and modulation of "the transcriptional activity of a subset of Hox proteins" . These diverse functions may have different relative importance in different cellular contexts.
When comparing antibody performance, researchers should implement systematic validation approaches:
Western Blot Comparison
Test multiple anti-Geminin antibodies (including EM6) on identical samples
Include positive controls (Geminin-overexpressing cells)
Include negative controls (Geminin knockdown/knockout cells)
Evaluate specificity, sensitivity, and background
Immunohistochemistry Cross-Comparison
Perform parallel IHC staining on serial tissue sections
Use standardized protocols optimized for each antibody
Quantify staining intensity, pattern, and background
Compare specificity for the nuclear localization pattern expected for Geminin
Immunoprecipitation Efficiency
Epitope Mapping
Generate a series of Geminin fragments or peptides
Test antibody binding to identify specific epitopes
Compare epitope accessibility in different experimental conditions
Conformational Considerations
Test antibody performance under native and denaturing conditions
Evaluate detection of post-translationally modified forms
Compare recognition of free Geminin versus complex-bound forms
Performance Evaluation Matrix:
| Parameter | Evaluation Method | Scoring Criteria |
|---|---|---|
| Specificity | Western blot band pattern | Single band at expected MW (25 kDa) |
| Sensitivity | Dilution series | Lowest concentration detectable |
| Reproducibility | Coefficient of variation across experiments | CV < 10% |
| Cell cycle detection | Flow cytometry correlation with cell cycle | Expected pattern (low in G1, high in S/G2) |
| Complex detection | Co-IP of known partners | Detection of Cdt1, MCM3, MCM5 |
| Background | Signal in knockout/knockdown samples | Minimal non-specific binding |
When conducting these comparisons, researchers should remember that different antibodies may recognize different epitopes or conformations of Geminin, potentially revealing distinct aspects of its biology rather than simply performing "better" or "worse."
To investigate Geminin's non-canonical functions, researchers can adapt EM6 antibody-based techniques to explore these emerging research areas:
Perform EM6 antibody ChIP-seq to identify Geminin binding sites genome-wide
Focus analysis on non-replication origin regions (promoters, enhancers)
Correlate binding with gene expression changes upon Geminin depletion
Research has shown that Geminin "inhibits the transcriptional activity of a subset of Hox proteins, enrolling them in cell proliferative control"
Experimental Design for Hox Regulation Analysis:
Conduct EM6 antibody ChIP followed by qPCR at Hox gene loci
Perform co-IP studies to capture Geminin-Hox protein complexes
Implement reporter assays with Hox-responsive elements
Compare transcriptional effects in different developmental contexts
Use EM6 antibody to track Geminin expression during neural differentiation
Correlate expression with neurogenesis markers
Perform co-localization studies with neural transcription factors
Investigate mechanisms by which Geminin regulates neural cell fate decisions
Use EM6 antibody to isolate Geminin-containing complexes
Analyze associations with chromatin-modifying enzymes beyond HBO1
Perform sequential ChIP to identify co-occupancy with histone marks
Map the relationship between Geminin binding and chromatin state transitions
Data Integration Framework:
When studying these non-canonical functions, researchers should integrate multiple data types:
ChIP-seq profiles (Geminin binding)
RNA-seq data (transcriptional impacts)
Protein interaction networks
Histone modification landscapes
Developmental timing information
This integrative approach will help distinguish direct effects of Geminin from secondary consequences of its cell cycle regulatory function.
Adapting EM6 antibody for high-throughput screening requires specialized methodological considerations:
Assay Development and Validation
Optimize EM6 antibody concentration, incubation times, and detection systems for automated platforms
Validate assay using positive controls (Geminin overexpression) and negative controls (Geminin knockdown)
Establish Z' factor and signal-to-background ratios to ensure screening quality
Apply Design of Experiment (DOE) approaches to systematically optimize conditions
Technical Implementation for Cell-Based Screens
Culture cells in 96/384-well plates
Treat cells with compound libraries or siRNA/CRISPR libraries
Fix and stain with EM6 antibody and counterstains
Implement automated imaging and analysis
Quantify Geminin levels, subcellular localization, and cell cycle markers
Analysis Pipeline Development
Create algorithms to identify changes in:
Geminin expression levels
Nuclear/cytoplasmic distribution
Co-localization with other proteins
Cell cycle-dependent patterns
Implement machine learning approaches for pattern recognition
Cluster compounds/genes based on phenotypic signatures
Assay Optimization
Determine optimal fixation and permeabilization conditions
Establish antibody dilutions and staining protocols for cell suspension formats
Include cell cycle markers (DNA content, proliferation markers)
High-Content Flow Cytometry Implementation
Develop multi-parameter panels including:
EM6 antibody (Geminin detection)
Cell cycle markers
Additional targets of interest
Establish automated sampling and analysis workflows
Include machine learning algorithms for population identification
Key Considerations for Successful Implementation:
Data Normalization Approaches
Correct for well-to-well variations
Implement plate-based controls
Apply robust statistical methods for hit identification
Antibody Batch Consistency
Test multiple lots for consistent performance
Include standard samples across screening batches
Implement quality control metrics
Validation Strategies
Confirm hits with orthogonal assays
Validate with independent reagents
Test dose-responses for positive hits
By implementing these methodological approaches, researchers can effectively adapt EM6 antibody for high-throughput applications, enabling the discovery of novel regulators and mechanisms involved in Geminin biology.