MID1IP1 antibodies target a 183-amino-acid protein involved in lipid metabolism and cancer progression. These antibodies are primarily used to study MID1IP1's roles in:
Key structural features:
Molecular Weight: Predicted 20 kDa (observed 23–46 kDa due to post-translational modifications)
Domains: SPOT14 family member with homodimerization capabilities
Western Blot (WB): 15764-1-AP detects MID1IP1 at 23 kDa in HEK-293 cells .
Immunohistochemistry (IHC): HPA038816 validates MID1IP1 expression in human HCC tissues .
Cross-Reactivity: 15764-1-AP works across human, mouse, and rat samples, while others are human-specific .
CNOT2-MID1IP1-p53 Axis:
MID1IP1 depletion induces apoptosis in colorectal cancer cells by stabilizing p53. CNOT2 inhibition enhances this effect, confirmed using 15764-1-AP in Western blotting .
MID1IP1 upregulates acetyl-CoA carboxylase (ACACA), critical for lipid synthesis .
Antibodies like PA5-19370 are used to study MID1IP1’s role in triacylglycerol and phospholipid biosynthesis .
Tissue Array Data: MID1IP1 and c-Myc colocalize in hepatocellular carcinoma (HCC) tissues (IHC validated with ab224550 and ab32072) .
Functional Impact: MID1IP1 overexpression reduces p21 and activates c-Myc, promoting tumor growth .
| Application | Dilution Range | Antibody Used |
|---|---|---|
| Western Blot | 1:200–1:1000 | 15764-1-AP, SAB1409589 |
| Immunofluorescence | 1:100–1:500 | PA5-80815, ab97806 |
| IHC | 1:50–1:200 | HPA038816 |
Therapeutic Potential: MID1IP1 depletion synergizes with chemotherapeutic agents (e.g., doxorubicin) to enhance apoptosis .
Biomarker Potential: Overexpression correlates with poor prognosis in HCC and colorectal cancer .
MID1IP1 (also known as MIG12, Spot 14-related protein, or S14R) is a ~20 kDa protein involved in multiple cellular processes. It plays a critical role in lipogenesis in the liver by up-regulating ACACA enzyme activity and is required for efficient biosynthesis of triacylglycerol, diacylglycerol, and phospholipids. Additionally, MID1IP1 interacts with MID1 protein to maintain microtubule network stability, which is essential for proper spindle assembly during cell division .
Recent research has identified MID1IP1 as a promising biomarker in lung cancer screening protocols, highlighting its clinical significance beyond basic cellular functions .
Several commercial MID1IP1 antibodies are available, with varying properties and applications:
Most available antibodies are rabbit polyclonals, optimized for specific applications like Western blotting (WB) or immunohistochemistry (IHC) .
For optimal Western blot detection of MID1IP1:
Sample preparation: Use whole cell lysates from appropriate cell lines (e.g., HepG2 or 293T cells show good expression)
Gel selection: Use 12% SDS-PAGE for optimal separation around the 20 kDa range
Antibody dilution: Start with 1:1000 dilution for primary antibody incubation
Expected molecular weight: Look for a band at approximately 20 kDa
Controls: Include positive control lysates from cell lines known to express MID1IP1 (HepG2 is recommended)
Secondary antibody: Use appropriate anti-rabbit IgG conjugates (HRP, AP, or fluorescent labels)
These recommendations are based on validated protocols for MID1IP1 antibodies with successful detection in human samples .
For immunohistochemistry applications with MID1IP1 antibodies:
Fixation: Standard formalin fixation and paraffin embedding is compatible
Antigen retrieval: Heat-induced epitope retrieval is recommended
Antibody dilution: Start with 1:50-1:200 dilution range
Incubation conditions: Overnight incubation at 4°C typically yields optimal results
Detection system: Both chromogenic and fluorescent detection systems are compatible
Controls: Include tissue samples known to express MID1IP1 (liver tissue is recommended)
These protocols have been validated for detecting endogenous MID1IP1 in human tissue samples .
To validate MID1IP1 antibody specificity:
Western blot analysis:
Compare band patterns in positive control tissues/cells
Verify the correct molecular weight (~20 kDa)
Perform knockdown experiments (siRNA or CRISPR) to confirm band disappearance
Immunoprecipitation validation:
Immunoprecipitate with the antibody and confirm identity by mass spectrometry
Co-IP experiments to verify interaction with known binding partners (e.g., MID1)
Commercial validation data:
Proper controls for MID1IP1 antibody experiments:
Positive controls:
Cell lines with confirmed expression (HepG2, 293T)
Tissue types known to express MID1IP1 (liver)
Negative controls:
Primary antibody omission
Isotype control antibody
Pre-adsorption with immunizing peptide
Tissues/cells with confirmed low or no expression
Method-specific controls:
For WB: Molecular weight markers to confirm band size
For IHC: Tissue panels with varying expression levels
Including these controls helps distinguish specific signal from background or non-specific binding .
MID1IP1 interacts with MID1 to maintain microtubule network stability. To study this role:
Co-localization studies:
Combine MID1IP1 antibodies with microtubule markers (e.g., α-tubulin)
Use confocal microscopy to visualize co-localization patterns
Cell division analysis:
Examine MID1IP1 distribution during different cell cycle phases
Correlate with spindle assembly markers
Perturbation experiments:
Manipulate MID1IP1 levels and observe effects on microtubule stability
Combine with live cell imaging to track dynamics
This approach can reveal how MID1IP1 contributes to microtubule function and cell division processes, particularly spindle assembly during mitosis .
Recent studies have identified MID1IP1 as a promising biomarker for lung cancer screening:
Performance metrics:
MID1IP1 showed an AUC of 0.72 in discriminating between actionable and non-actionable lung nodules
82% accuracy in classifying histologically benign cases
Multimarker panels:
MID1IP1 performed optimally as part of a six-biomarker panel including Annexin 2, DCD, PNMA1, TAF10, and ZNF696
This panel achieved 72.48% accuracy with 76.62% sensitivity and 68.06% specificity for lung cancer screening
Comparative advantage:
While MID1IP1 had the highest AUC among tested biomarkers, others like MED21 showed higher sensitivity (79-83%)
These findings suggest MID1IP1 antibodies can be valuable tools in developing early detection methods for lung cancer .
To study MID1IP1's role in lipid metabolism:
Tissue-specific expression analysis:
Compare MID1IP1 levels across tissues with varying lipogenic activity
Correlate with nutritional status or metabolic disease models
Co-immunoprecipitation studies:
Use MID1IP1 antibodies to pull down protein complexes
Identify associations with lipogenic enzymes like ACACA
Functional assays:
Combine antibody detection with lipid quantification methods
Monitor MID1IP1 levels during lipogenic stimulation or inhibition
Subcellular localization:
Determine compartmentalization of MID1IP1 during active lipogenesis
Examine co-localization with lipid droplets or ER
This integrated approach can reveal how MID1IP1 regulates lipid biosynthetic pathways in normal physiology and disease states .
Researchers frequently encounter these challenges with MID1IP1 antibodies:
Cross-reactivity issues:
Some antibodies may detect related proteins with similar epitopes
Validate specificity in your specific experimental system
Protein degradation:
The small size (~20 kDa) makes MID1IP1 susceptible to degradation
Use fresh samples and appropriate protease inhibitors
Low endogenous expression:
Expression levels vary significantly between tissues/cell types
May require signal amplification or more sensitive detection methods
Nonspecific background in IHC:
Optimize blocking conditions (5% BSA or normal serum)
Consider alternative fixation methods if background persists
Selection criteria for MID1IP1 antibodies should include:
Application compatibility:
Match antibody specifications to your intended application (WB, IHC, etc.)
Review validation data for your specific application
Epitope location:
Consider epitope location relative to functional domains or post-translational modification sites
Different antibodies target different regions (N-terminal, C-terminal, or internal epitopes)
Species reactivity:
Verify cross-reactivity with your experimental species
Most antibodies react with human MID1IP1; some cross-react with mouse and rat
Validation robustness:
Evaluate the extent of validation (protein arrays, knockout validation, etc.)
Consider publications citing specific antibody catalog numbers
This systematic approach will help select the most appropriate antibody for your specific research needs .
Beyond traditional applications, MID1IP1 antibodies are enabling research in:
Cancer biomarker development:
Integration into multi-biomarker screening panels for early cancer detection
Potential for liquid biopsy applications via autoantibody detection
Drug discovery:
Target validation for compounds affecting lipid metabolism
Monitoring molecular responses to therapeutic interventions
Cellular stress responses:
Investigating MID1IP1's role in metabolic adaptation to stress
Connections between microtubule function and metabolic regulation
These emerging applications demonstrate the versatility of MID1IP1 antibodies beyond traditional cell biology applications .
Recent methodological improvements include:
Computational antibody design:
Improved antibody design through computational modeling of epitope-paratope interactions
Machine learning approaches to predict antibody specificity and cross-reactivity
Multiplexed detection systems:
Integration of MID1IP1 detection into multiplexed immunoassays
Simultaneous analysis of multiple markers in single samples
Single-cell applications:
Adaptation of antibodies for single-cell protein analysis
Combined RNA-protein detection methods for correlation studies
These advances are expanding the utility and precision of MID1IP1 antibody-based research methods .