KRT37 and KRT38 emerged through recent gene duplications in primates and are absent in rodents. Their divergence likely explains species-specific hair traits .
Western Blotting: Detects KRT37/KRT38 at ~51 kDa in human cell lines (e.g., MCF-7, HeLa) .
Epithelial Cell Biology: Investigates keratinocyte differentiation, hair follicle morphogenesis, and epithelial barrier function .
Dermatopathology: Explores roles in hair disorders (e.g., androgenic alopecia) and epithelial cancers .
KRT37’s androgen sensitivity may explain paradoxical hair loss in androgenic alopecia .
Both keratins are potential biomarkers for epithelial tumors .
| Feature | KRT37 | KRT38 |
|---|---|---|
| Gene ID | 8688 | 8687 |
| Protein Size | ~50 kDa | ~51 kDa |
| Expression | Androgen-regulated in body hair | Ubiquitous in hair follicles |
| Evolution | Primate-specific duplication | Primate-specific duplication |
Androgen Regulation: KRT37 is uniquely regulated by androgens in humans, a trait absent in great apes .
Cancer Biomarkers: Keratins like KRT37/KRT38 are implicated in tumor invasion and metastasis .
Ethnic Variation: Polymorphisms in KRT37 correlate with differences in body and facial hair among populations .
Research on KRT37/KRT38 antibodies is expanding into:
KRT37 and KRT38 are type I (acidic) hair keratins that are crucial components of the intermediate filament proteins in epithelial cells. They heterodimerize with type II keratins to form structural elements in hair and nails . These proteins play essential roles in:
Maintaining structural integrity of epithelial tissues
Providing mechanical resistance and protection against stress
From an evolutionary perspective, KRT37 and KRT38 emerged through relatively recent duplication events in primates, with no detected murine orthologs, suggesting these genes were either lost during evolution or significantly altered in certain mammalian lineages . This makes them interesting targets for studying primate-specific keratin functions.
Based on validation data, KRT37/KRT38 antibodies are primarily used in these experimental applications:
Researchers should note that optimal dilutions may vary depending on the specific antibody formulation and experimental conditions. Validation in your specific experimental system is strongly recommended before proceeding with larger studies .
For maximum stability and activity retention:
Avoid repeated freeze/thaw cycles by preparing small working aliquots upon receipt
Most formulations contain 50% glycerol, allowing storage at -20°C without complete freezing
For reconstituted lyophilized antibodies, they remain stable at 2-4°C for approximately two weeks
The presence of sodium azide (0.02%) helps prevent microbial contamination but should be considered when designing downstream applications sensitive to azide
The typical storage buffer composition is phosphate-buffered saline (without Mg²⁺ and Ca²⁺), pH 7.4, 150mM NaCl, 0.02% sodium azide, and 50% glycerol .
Validating specificity is critical because of potential cross-reactivity between related keratins. Recommended approaches include:
Positive control selection: Use tissues/cells known to express KRT37/KRT38 (e.g., hair follicle cells)
Molecular weight verification: KRT37/KRT38 proteins have approximately 50 kDa molecular weight in Western blots
Peptide competition assay: Pre-incubate the antibody with the immunizing peptide before application to verify signal specificity
Multiple antibody validation: Use antibodies raised against different epitopes of KRT37/KRT38 to confirm findings
RNA interference: Correlate protein detection with KRT37/KRT38 knockdown experiments to confirm specificity
Immunoprecipitation followed by mass spectrometry: For definitive identification of the antibody's targets
Most commercial KRT37/KRT38 antibodies are affinity-purified using epitope-specific immunogens derived from the internal regions of the human proteins, which helps enhance specificity .
This is an important distinction for experimental design:
Recognize epitopes unique to either KRT37 or KRT38
Allow discrimination between these closely related proteins
Useful for studying differential expression or function
More challenging to produce due to high sequence similarity
Most commercial antibodies labeled as "KRT37/KRT38" are generated using immunogens derived from internal regions where these proteins share high sequence homology . For researchers needing to distinguish between these two keratins specifically, specialized antibodies targeting unique regions would be necessary, along with careful validation studies.
Optimizing Western blot protocols for keratin detection requires special considerations:
Sample preparation:
Include protease inhibitors to prevent degradation
Use strong denaturants (8M urea or 2% SDS) to fully solubilize intermediate filaments
Heat samples at 95°C for 5 minutes to ensure complete denaturation
Gel selection:
Use 10-12% polyacrylamide gels for optimal resolution around 50 kDa
Consider gradient gels (4-15%) if analyzing multiple keratins of various sizes
Transfer conditions:
PVDF membranes generally perform better than nitrocellulose for keratins
Add 0.1% SDS to transfer buffer to improve transfer efficiency of hydrophobic proteins
Consider semi-dry transfer systems for more efficient transfer of keratins
Antibody conditions:
Detection system:
HRP-conjugated secondary antibodies with enhanced chemiluminescence are standard
Consider fluorescent secondary antibodies for multiplexing with other keratin markers
Following validation in Western blot, researchers typically use positive control tissue/cell lysates, such as human hair follicle extracts or epithelial cell lines known to express these keratins .
Research on KRT37/KRT38 in cancer contexts has revealed several important considerations:
Expression patterns:
Cancer progression:
Diagnostic applications:
While some keratins (KRT8/18, KRT19) are established cancer biomarkers, KRT37/KRT38 require further validation
Potential for tissue-specific diagnostic signatures when analyzed alongside other keratin family members
Cancer types:
Researchers interested in biomarker development should consider multiplex approaches using panels of keratins rather than single markers, and validation across diverse cancer tissue samples .
Detecting post-translational modifications (PTMs) of keratins presents specific challenges:
Common keratin PTMs:
Phosphorylation (affects filament organization and solubility)
Glycosylation
Ubiquitination (involved in keratin turnover)
SUMOylation
Acetylation
Technical challenges:
Standard KRT37/KRT38 antibodies cannot distinguish modified forms
PTM-specific antibodies require precise epitope targeting
Background from other keratins with similar modifications
Methodological approaches:
Use phospho-specific or other PTM-specific antibodies when available
Combine immunoprecipitation with mass spectrometry for PTM identification
Employ 2D gel electrophoresis to separate modified variants before immunoblotting
Use phosphatase or deglycosylation treatments to confirm PTM identity
Validation strategies:
Include appropriate controls (phosphatase treatment for phosphorylation studies)
Use site-directed mutagenesis of predicted modification sites for functional studies
Compare multiple antibody clones targeting different epitopes
The field currently lacks extensive characterization of KRT37/KRT38-specific PTMs, making this an area ripe for novel research contributions .
This comparison is crucial for researchers developing validation strategies:
For comprehensive validation:
Use recombinant proteins for initial antibody characterization and quantitative standards
Progress to native protein sources (e.g., human hair follicle extracts) to confirm recognition of naturally occurring forms
Employ both approaches to characterize antibody sensitivity and specificity
Consider using recombinant proteins with engineered tags (e.g., Strep Tag) for pull-down experiments to identify interaction partners
When using recombinant proteins, researchers should be aware that expression systems like tobacco-based cell-free systems can produce proteins with post-translational modifications that may differ from mammalian cells .
Hair follicle tissues present specific challenges for IHC detection of keratins:
Antigen retrieval optimization:
Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Extended retrieval times (20-30 minutes) may be necessary for highly keratinized tissues
Enzymatic retrieval with proteinase K as an alternative for certain samples
Background reduction:
Implement hydrogen peroxide blocking (3% H₂O₂, 10 minutes) before antibody incubation
Use protein blocking solutions containing both normal serum and BSA
Include 0.1-0.3% Triton X-100 for improved penetration in keratinized structures
Consider avidin-biotin blocking for biotin-based detection systems
Signal amplification:
Controls:
Include tissue sections known to express KRT37/KRT38 (positive control)
Use isotype control antibodies to assess non-specific binding
Include a negative control omitting primary antibody
Counterstaining:
Use lighter hematoxylin counterstaining to avoid obscuring specific signals
Consider nuclear fluorescent counterstains for fluorescent detection methods
Researchers should validate antibodies specifically for IHC applications, as not all WB-validated antibodies perform well in fixed tissues .
Multiplexing strategies enable simultaneous analysis of multiple keratins:
Immunofluorescence multiplexing:
Select primary antibodies from different host species (e.g., rabbit anti-KRT37/38, mouse anti-KRT14)
Use fluorophore-conjugated secondary antibodies with distinct emission spectra
Consider directly conjugated primary antibodies for more than 3-4 target multiplexing
Include sequential staining protocols when antibodies from the same species must be used
Chromogenic multiplexing for IHC:
Sequential immunoenzyme labeling using different substrates (DAB, AEC, etc.)
Multiplex immunohistochemistry with tyramide signal amplification
Consider spectral unmixing technologies for analysis
Western blot multiplexing:
Flow cytometry:
Requires cell permeabilization protocols optimized for intracellular keratins
Strategic fluorophore selection to avoid spectral overlap
Include proper compensation controls
Mass cytometry (CyTOF):
Metal-tagged antibodies allow highly multiplexed detection
Eliminates spectral overlap concerns
Requires specialized equipment
When designing multiplexing experiments, researchers should carefully validate each antibody individually before combining them, and conduct proper controls to ensure signals are specific and not affected by the multiplexing protocol .
When facing conflicting results with different antibody clones:
Systematic comparison:
Create a standardized testing protocol across all antibody clones
Test on the same sample preparations and experimental conditions
Document all variables including dilutions, incubation times, and detection methods
Epitope mapping:
Identify the specific epitopes recognized by each antibody clone
Determine if discrepancies may be due to detection of different forms (splice variants, degradation products)
Consider if some epitopes might be masked in certain contexts (protein-protein interactions, conformational changes)
Validation with orthogonal techniques:
Correlate antibody results with mRNA expression (RT-PCR, RNA-seq)
Use mass spectrometry to definitively identify proteins detected by each antibody
Employ genetic approaches (siRNA knockdown, CRISPR knockout) to confirm specificity
Technical troubleshooting:
Optimize sample preparation for each antibody independently
Test varied blocking conditions to reduce non-specific binding
Evaluate different detection systems for each antibody
Documentation and reporting:
Thoroughly document all antibody information (catalog number, lot, dilution)
Report detailed methodologies in publications to aid reproducibility
Consider reporting discrepancies to antibody manufacturers for further investigation
A common cause of discrepancies is that some antibodies may recognize both KRT37 and KRT38 due to their high sequence similarity, while others may be more specific to one form . Understanding these differences is essential for correct data interpretation.
Single-cell technologies offer new opportunities for keratin research:
These approaches could be particularly valuable for understanding the evolutionary significance of KRT37/KRT38, which appear to have emerged through recent duplication events in primates .
Emerging research areas include:
Dermatological disorders:
Keratinization disorders affecting hair and nails
Inflammatory skin conditions with altered keratin expression
Wound healing and tissue regeneration studies
Developmental biology:
Hair follicle morphogenesis and cycling
Epithelial-mesenchymal interactions during development
Stem cell differentiation into keratin-expressing lineages
Aging research:
Changes in keratin expression profiles during aging
Correlation with hair aging phenotypes (graying, thinning)
Potential biomarkers for accelerated aging
Comparative biology:
Biotechnology applications:
Engineered keratin-based biomaterials
Targeted drug delivery to keratin-expressing tissues
Biomarker development for personalized medicine approaches
The unique evolutionary history of KRT37/KRT38 suggests these proteins may have primate-specific functions that have yet to be fully characterized, opening interesting research opportunities in comparative biology and evolutionary medicine .
Computational methods offer powerful enhancements to antibody-based research:
Epitope prediction and antibody design:
In silico prediction of antigenic regions unique to KRT37 or KRT38
Computational design of high-specificity antibodies
Molecular modeling of antibody-antigen interactions
Image analysis for IHC/IF:
Automated quantification of staining patterns
Machine learning algorithms for cell classification based on keratin expression
3D reconstruction of keratin intermediate filament networks
Multi-omics data integration:
Correlation of antibody-based protein detection with transcriptomics
Network analysis of keratin interactions with other cellular components
Pathway analysis to identify functional roles in cellular processes
Evolutionary bioinformatics:
Comparative genomics to understand KRT37/KRT38 evolution across species
Prediction of functional consequences of evolutionary changes
Identification of conserved regulatory elements controlling expression
Database resources:
Integration with protein atlas resources for tissue expression patterns
Cataloging of validated antibodies and associated epitope information
Standardization of reporting formats for antibody validation data
These computational approaches can help address challenges in distinguishing between highly similar keratins like KRT37 and KRT38, as well as placing experimental findings in broader biological context .