MICAL2 (Microtubule Associated Monooxygenase, Calponin and LIM Domain Containing 2) belongs to the MICAL family of atypical multidomain flavoenzymes with diverse cellular functions. There are three known MICAL isoforms (MICAL1, MICAL2, and MICAL3) as well as MICAL-like proteins MICAL-L1 and MICAL-L2 . MICAL2 has been demonstrated to regulate actin stress fibers and is required for normal actin organization. Additionally, MICAL2-PV, a novel splicing variant of MICAL2, has been reported to be involved in the progression of prostate cancer .
MICAL2 antibodies are immunological reagents specifically designed to detect the MICAL2 protein in various experimental settings. These antibodies enable researchers to study the expression, localization, and function of MICAL2 in different tissues and under various conditions, providing critical insights into its role in health and disease.
Several commercial MICAL2 antibodies are available, each with specific characteristics suitable for different research applications:
Polyclonal antibodies against MICAL2 are commonly used in research settings. These include:
Thermo Fisher Scientific's MICAL2 Polyclonal Antibody (PA5-100613): Detects endogenous levels of total MICAL2
CUSABIO's anti-Human MICAL2 Antibody (CSB-PA013808LA01HU): Raised in rabbit, available in various conjugates
Affinity Biosciences' MICAL2 Antibody (DF13149): Rabbit polyclonal antibody with reactivity to human, mouse, and rat MICAL2
Proteintech's MICAL2 antibody (13965-1-AP): Rabbit polyclonal with multiple validated applications
Some MICAL2 antibodies are available with different conjugations to facilitate various experimental approaches:
| Conjugate | Product Code (CUSABIO) | Product Name | Primary Application |
|---|---|---|---|
| Non-conjugated | CSB-PA013808LA01HU | MICAL2 Antibody | Multiple |
| HRP | CSB-PA013808LB01HU | MICAL2 Antibody, HRP conjugated | ELISA |
| FITC | CSB-PA013808LC01HU | MICAL2 Antibody, FITC conjugated | Fluorescence-based |
| Biotin | CSB-PA013808LD01HU | MICAL2 Antibody, Biotin conjugated | ELISA |
Table 1: MICAL2 Antibody conjugates available from CUSABIO
MICAL2 antibodies have been validated for multiple research applications, enabling scientists to investigate MICAL2 expression and function through various experimental techniques.
| Application | Recommended Dilution (Proteintech) | Recommended Dilution (CUSABIO) |
|---|---|---|
| Western Blot (WB) | 1:2000-1:10000 | Not specified |
| Immunohistochemistry (IHC) | 1:50-1:500 | 1:20-1:200 |
| Immunofluorescence (IF/ICC) | 1:200-1:800 | 1:50-1:200 |
| Co-Immunoprecipitation (CoIP) | Application-specific | Not specified |
| ELISA | Application-specific | Application-specific |
Table 2: Recommended dilutions of MICAL2 antibodies for different applications
Most commercially available MICAL2 antibodies show reactivity with human MICAL2, with many also cross-reacting with mouse and rat orthologs. For example, Affinity Biosciences' DF13149 antibody has confirmed reactivity with human, mouse, and rat MICAL2, with predicted reactivity to bovine, horse, sheep, and rabbit MICAL2 . Similarly, Proteintech's 13965-1-AP antibody has been tested and validated for reactivity with human, mouse, and rat samples .
MICAL2 antibodies have become increasingly important tools in cancer research due to the growing evidence of MICAL2's involvement in multiple cancer types.
Research using MICAL2 antibodies has revealed that MICAL2 is highly expressed in several aggressive cancer types:
Pancreatic cancer: MICAL2 is highly expressed in pancreatic cancer tissue and associated with poor prognosis
Gastric and renal cancers: MICAL2 mRNA is significantly overexpressed in aggressive, poorly differentiated/undifferentiated primary human epithelial cancers
Prostate cancer: MICAL2-PV splice variants are overexpressed in prostate cancer
TCGA solid cancers datasets analysis revealed that pancreatic ductal adenocarcinoma (PDAC) is the fourth highest expressor of MICAL2 among solid cancers .
Immunohistochemistry using MICAL2 antibodies has revealed a distinct pattern of MICAL2 expression in cancer tissues:
MICAL2-positive cells are found at the cancer invasive front and in metastasizing cancer cells inside emboli
MICAL2 expression is reduced or absent at sites of metastasis, suggesting it may be "turned on" in cells detaching from the primary tumor and "turned off" upon homing at metastatic sites
In gastric cancer, MICAL2 expression is high within the tumor mass and in scattered neoplastic cells infiltrating the gastric wall in diffuse, signet ring adenocarcinomas, but undetectable in well-differentiated, intestinal-type tumors
Using MICAL2 antibodies, researchers have uncovered that MICAL2 is involved in key signaling pathways:
MICAL2 upregulates KRAS and epithelial-mesenchymal transition (EMT) signaling pathways
MICAL2 indirectly regulates serum response factor (SRF) mediated transcription through modulation of nuclear G actin levels
For optimal results with MICAL2 antibodies, researchers should consider the following protocol recommendations:
For Immunohistochemistry (IHC):
Suggested antigen retrieval with TE buffer pH 9.0 or alternatively with citrate buffer pH 6.0
Positive tissues for validation: Human prostate cancer tissue
For Western Blot (WB):
Validated positive controls include DU 145 cells, PC-3 cells, U-251 cells, and U-87 MG cells
Expected molecular weight: 95-112 kDa
For Immunofluorescence (IF/ICC):
For reproducibility and proper methodology reporting in research publications, important identifiers for MICAL2 antibodies include:
Table 3: Reference identifiers for MICAL2 antibodies
Research utilizing MICAL2 antibodies has identified this protein as a potential therapeutic target in multiple cancers:
In pancreatic cancer, MICAL2 has been identified as a super-enhancer-associated gene critical for tumor progression
In gastric and renal cancers, MICAL2 appears to regulate epithelial to mesenchymal transition, suggesting it could be a promising target for anti-metastatic therapy
Knockdown of MICAL2 results in mesenchymal to epithelial transition, reduction of viability, and loss of motility and invasion properties of human cancer cells
MICAL2 antibodies may prove valuable in diagnostic and prognostic applications:
MICAL2 (Microtubule Associated Monooxygenase, Calponin and LIM Domain Containing 2) is an atypical multidomain flavoenzyme with diverse cellular functions. It functions as a flavin monooxygenase enzyme that induces actin depolymerization and indirectly promotes serum response factor transcription by modulating the availability of serum response factor coactivators such as myocardin-related transcription factors (MRTF-A and MRTF-B) . MICAL2 has a calculated molecular weight of 127 kDa, though it is often observed at 95 kDa and 112 kDa in experimental contexts . It plays critical roles in cytoskeletal regulation, cell migration, and has been implicated in various cellular processes including myogenic differentiation and cancer progression . Recent research has demonstrated its importance in actin dynamics, which affects multiple downstream signaling pathways including KRAS signaling and epithelial-mesenchymal transition .
MICAL2 antibody has been validated for multiple applications, with specific protocols optimized for each technique:
| Application | Recommended Dilution | Validated Models |
|---|---|---|
| Western Blot (WB) | 1:2000-1:10000 | DU 145 cells, PC-3 cells, U-251 cells, U-87 MG cells |
| Immunohistochemistry (IHC) | 1:50-1:500 | Human prostate cancer tissue |
| Immunofluorescence (IF)/ICC | 1:200-1:800 | HepG2 cells |
| Co-Immunoprecipitation (CoIP) | Varies by protocol | Validated in published research |
| ELISA | Varies by protocol | Validated in published research |
When designing experiments, researchers should note that the optimal dilution is sample-dependent and should be titrated in each testing system to obtain optimal results . Published applications have successfully used this antibody in knockout/knockdown studies, providing additional validation of specificity .
For immunohistochemistry applications, proper sample preparation is critical for sensitive and specific MICAL2 detection. Antigen retrieval methods significantly impact staining quality. For MICAL2 antibody (such as 13965-1-AP), the recommended protocol includes:
Primary fixation with 4% paraformaldehyde for 15 minutes at room temperature
Three PBS washes
Permeabilization with 1% Bovine Serum Albumin (BSA) + 0.2% or 0.5% triton for 30-45 minutes at room temperature
Blocking with 10% donkey serum for 30 minutes at room temperature
Overnight incubation with primary antibody at 4°C using the appropriate dilution
For paraffin-embedded tissues, antigen retrieval with TE buffer pH 9.0 is suggested, although citrate buffer pH 6.0 may serve as an alternative . For frozen sections, the protocol used in murine model studies involves cutting transversally in 7 μm sections using a cryostat machine followed by standard immunofluorescence procedures .
Establishing antibody specificity is crucial for reliable research. For MICAL2 antibody, a comprehensive validation approach should include:
Genetic validation: Using MICAL2 knockout or knockdown models as negative controls. Published research has successfully employed this approach in multiple studies .
Molecular weight verification: Comparing observed bands with expected molecular weights. MICAL2 has a calculated molecular weight of 127 kDa but is typically observed at 95 kDa and 112 kDa in Western blots .
Cross-reactivity testing: Verifying reactivity across species. The MICAL2 antibody (13965-1-AP) shows tested reactivity with human, mouse, and rat samples .
Positive control selection: Using cell lines with confirmed MICAL2 expression, such as DU 145 cells, PC-3 cells, U-251 cells, or U-87 MG cells for Western blotting, and HepG2 cells for immunofluorescence .
Peptide competition assay: Pre-incubating the antibody with its immunizing peptide (such as MICAL2 fusion protein Ag4950) to confirm binding specificity .
Each validation step should be thoroughly documented, and results compared with published literature to confirm consistency in detection patterns.
Detecting specific MICAL2 isoforms presents technical challenges that require specialized approaches:
Gel percentage optimization: Use gradient gels (4-12%) to achieve better separation of high molecular weight proteins and improve resolution between isoforms.
Sample preparation considerations: Different extraction methods may preferentially isolate certain isoforms. For comprehensive isoform detection, compare multiple lysis buffers (RIPA, NP-40, and Triton-based buffers) to determine optimal extraction conditions.
Antibody selection: The epitope location within the MICAL2 protein influences which isoforms will be detected. The antibody (13965-1-AP) targets a fusion protein of MICAL2 (Ag4950) , but researchers should confirm whether this epitope is present in all isoforms of interest.
Combined detection methods: Complement protein detection with mRNA analysis (RT-PCR with isoform-specific primers) to validate isoform expression patterns at the transcriptional level.
Mass spectrometry validation: For definitive isoform identification, immunoprecipitate MICAL2 and analyze by mass spectrometry to confirm the presence of isoform-specific peptides.
When reporting MICAL2 detection, clearly specify which isoforms were observed based on molecular weight, as the observed weights (95 kDa and 112 kDa) differ from the calculated weight (127 kDa) .
Recent research has identified MICAL2 as a critical factor in pancreatic ductal adenocarcinoma (PDAC) progression, necessitating specific experimental approaches:
Expression analysis in clinical samples: Utilize tissue microarray and comprehensive bioinformatics analysis combining gene expression data with clinical information from multiple datasets to correlate MICAL2 expression with patient outcomes. This approach has revealed that MICAL2 is highly expressed in pancreatic cancer tissue and associated with poor prognosis .
Super-enhancer landscape characterization: Recent studies identified MICAL2 as a super-enhancer-associated gene in human PDAC, suggesting its role as a potential disease driver. Researchers should incorporate epigenomic profiling methods like ChIP-seq to examine regulatory elements controlling MICAL2 expression .
Functional studies using loss/gain-of-function models: Implement both knockdown and overexpression approaches in human and mouse PDAC cells to evaluate effects on:
In vivo tumor models: Assess MICAL2's impact on tumor growth and metastasis using appropriate animal models, which have demonstrated that MICAL2 supports tumor growth and metastatic spread .
Tumor microenvironment analysis: Investigate MICAL2's relationship with immunosuppressive features, including cancer-associated fibroblast infiltration, M2 macrophage presence, and CD8+ T cell reduction .
These methodologies collectively provide a comprehensive framework for understanding MICAL2's multifaceted roles in pancreatic cancer biology.
MICAL2 has emerged as a significant modulator of the tumor microenvironment, particularly in pancreatic cancer. To effectively study these interactions, researchers should employ these methodological approaches:
Single-cell RNA sequencing: This technique helps identify the specific cell populations expressing MICAL2 within the tumor microenvironment. Research has shown that MICAL2 is mainly expressed in fibroblasts of pancreatic cancer .
Spatial transcriptomics and multiplex immunofluorescence: These approaches map the relative positions of MICAL2-expressing cells in relation to other cell types in the tumor microenvironment, particularly immune cells.
Immune cell infiltration analysis: Quantitative assessment of various immune cell populations has revealed that higher MICAL2 expression correlates with:
These changes collectively contribute to an immunosuppressive microenvironment.
Functional pathway analysis: Gene set enrichment and pathway analyses have demonstrated that MICAL2 is closely associated with:
Co-culture systems: Implementing co-culture models of cancer cells with fibroblasts and immune cells allows for functional validation of MICAL2's role in intercellular communication and immune modulation.
Understanding these interactions provides potential targets for combined therapies that address both MICAL2-mediated tumor progression and immunosuppression .
To effectively investigate MICAL2's contribution to epithelial-mesenchymal transition in cancer progression, researchers should implement a multi-faceted experimental design:
Transcriptional profiling: Perform RNA-seq analysis comparing MICAL2 knockdown and overexpression models to identify changes in EMT-related gene signatures. Recent research has demonstrated that MICAL2 upregulates EMT signaling pathways, contributing to tumor growth and metastasis .
EMT marker assessment: Systematically analyze changes in:
Epithelial markers (E-cadherin, ZO-1)
Mesenchymal markers (N-cadherin, Vimentin)
EMT transcription factors (SNAIL, SLUG, ZEB1/2, TWIST)
using Western blot, qPCR, and immunofluorescence techniques
Actin cytoskeleton visualization: Since MICAL2 functions as a flavin monooxygenase that induces actin depolymerization , perform detailed actin cytoskeleton imaging using phalloidin staining coupled with high-resolution microscopy to capture cytoskeletal rearrangements associated with EMT.
Migration and invasion assays: Implement real-time cell analysis systems, wound healing assays, and transwell invasion assays to quantify functional changes in cell motility and invasiveness resulting from MICAL2 modulation.
MRTF-SRF pathway analysis: Investigate how MICAL2-mediated actin dynamics affect the nuclear translocation and activity of myocardin-related transcription factors (MRTF-A and MRTF-B), which are known MICAL2 downstream effectors . This can be accomplished through:
MRTF nuclear/cytoplasmic fractionation
SRF-responsive luciferase reporter assays
ChIP-seq to identify MRTF/SRF binding sites across the genome
In vivo metastasis models: Utilize appropriate animal models to evaluate how MICAL2 manipulation affects metastatic spread, validating in vitro findings in physiologically relevant systems .
This comprehensive approach allows researchers to establish mechanistic links between MICAL2 activity, cytoskeletal reorganization, and the EMT program in cancer progression.
When encountering variable MICAL2 detection in Western blotting, researchers should systematically evaluate and optimize these parameters:
Sample preparation optimization:
Ensure complete protein extraction using appropriate lysis buffers with protease inhibitors
Standardize protein quantification methods for consistent loading
Consider phosphatase inhibitors if studying phosphorylated forms
Gel electrophoresis conditions:
Transfer conditions:
MICAL2's size may require extended transfer times or semi-dry systems
Verify transfer efficiency with reversible staining (Ponceau S)
Antibody optimization:
Detection system sensitivity:
Choose appropriate detection chemistry (standard ECL vs. enhanced sensitivity systems)
Adjust exposure times based on signal strength
Consider digital imaging systems with adjustable sensitivity
Positive control inclusion:
Normalization strategy:
By systematically addressing these variables, researchers can achieve consistent and reproducible MICAL2 detection in Western blotting experiments.
Optimizing MICAL2 antibody performance across diverse tissue types requires careful protocol adjustment:
Tissue-specific fixation and processing:
Antigen retrieval optimization:
Blocking strategy adjustment:
Antibody concentration titration:
Detection system selection:
For tissues with low MICAL2 expression: Consider amplification systems (TSA, polymer-based)
For multiplex staining: Implement spectral imaging and unmixing techniques
Counterstain adaptation:
Adjust hematoxylin counterstaining time based on tissue density
Consider nuclear counterstains compatible with downstream digital analysis
Validation in relevant tissues:
Sample-specific controls:
Include tissue-matched positive and negative controls
Consider gradient tissue blocks with known differential expression
This methodical approach enables researchers to establish reliable, tissue-optimized protocols for consistent MICAL2 detection across different experimental contexts.
Investigating MICAL2's function in myogenic differentiation requires specialized approaches targeting stem cell differentiation and muscle development:
Developmental expression analysis:
Embryoid body (EB) cardiac differentiation protocol:
Generate EBs using the hanging drop method (500 cells per drop)
Culture in cardiac differentiation medium for 48 hours in hanging drops
Collect drops and grow in suspension in ultra-low attachment plates for 5 days
Transfer to gelatin-coated plates for adhesion culture
Observe for beating areas starting from day 9 of differentiation
Differentiation medium composition:
MICAL2 manipulation strategies:
Implement gain-of-function (overexpression) and loss-of-function (siRNA, CRISPR) approaches
Use inducible expression systems to control MICAL2 levels at specific differentiation stages
Muscle-specific marker assessment:
Actin dynamics evaluation:
Assess actin polymerization state using fluorescent phalloidin staining
Quantify G-actin/F-actin ratios in response to MICAL2 manipulation
Functional myogenic assays:
For cardiac lineage: Measure beating frequency and synchronicity
For skeletal muscle: Assess myotube formation, fusion index, and contractile properties
In vivo validation:
These methodologies provide a comprehensive framework for elucidating MICAL2's role in the complex process of myogenic lineage commitment and differentiation.
The MICAL2-MRTF-SRF signaling axis represents an important regulatory pathway affecting gene expression through actin dynamics. To comprehensively investigate this signaling axis:
Actin dynamics quantification:
Measure G-actin/F-actin ratios following MICAL2 manipulation using biochemical fractionation
Implement live-cell imaging with fluorescent actin probes to visualize dynamic changes
Quantify actin depolymerization rates in response to modulated MICAL2 activity
MRTF nuclear translocation assessment:
Track MRTF-A and MRTF-B subcellular localization using immunofluorescence
Implement biochemical fractionation to quantify nuclear/cytoplasmic MRTF ratios
Utilize live-cell imaging with fluorescently tagged MRTF constructs
MRTF-SRF transcriptional activity measurement:
Deploy SRF-responsive luciferase reporter assays
Perform ChIP-seq analysis to identify genome-wide SRF binding sites affected by MICAL2
Conduct RNA-seq following MICAL2/MRTF manipulations to identify downstream transcriptional programs
Comparative MRTF-A vs. MRTF-B analysis:
Pathway integration analysis:
Functional outcome assessment:
Pharmacological intervention:
Test actin-targeting compounds or SRF inhibitors in combination with MICAL2 manipulation
Evaluate potential for therapeutic targeting of this pathway in disease models
This comprehensive approach allows for detailed characterization of the MICAL2-MRTF-SRF signaling axis and its functional implications in normal and pathological contexts.