Granzyme C is one of five human granzymes (A, B, H, K, M) and is part of the GzmB gene cluster. It is stored in cytotoxic granules alongside perforin, a pore-forming protein that facilitates its delivery into target cells. Gzmc induces apoptosis by cleaving intracellular substrates, including proteins involved in mitochondrial metabolism and DNA repair . Unlike Granzyme A (Gzma) and Granzyme B (Gzmb), which are well-characterized, Gzmc’s mechanisms remain less explored but are implicated in late-stage cytotoxic responses .
The Gzmc Antibody is instrumental in studying T cell cytotoxicity, particularly in contexts where Gzmc’s unique substrate specificity and activation pathways are critical:
T Cell Exhaustion: Gzmc expression is restricted to exhausted T cells in tumor microenvironments (TME), where it modulates cytotoxic activity and self-directed apoptosis .
CAR T Cell Engineering: Overexpression of Gzmc in chimeric antigen receptor (CAR) T cells enhances tumor cell killing but may also induce T cell self-death, highlighting its dual role .
Immune Pathogenesis: In autoimmune diseases like rheumatoid arthritis, Gzmc may contribute to synovial inflammation by cleaving pro-inflammatory cytokines (e.g., IL-1α) .
Validation: The antibody was validated in Gzmc-expressing cell lines (e.g., CTLL-2) and non-expressing controls (e.g., P815), ensuring specificity .
Limitations: Cross-reactivity with other granzymes (e.g., Gzma, Gzmb) is a potential concern, though studies suggest minimal overlap .
Gzmc’s role in immune regulation remains underexplored compared to Gzma and Gzmb. Emerging studies suggest its involvement in:
Late-Stage Cytotoxicity: In DPP1-deficient mice, Gzmc compensates for impaired Gzma/B activation during prolonged immune responses .
Tumor Immunity: Its expression in TILs (tumor-infiltrating lymphocytes) correlates with exhaustion markers, offering a potential biomarker for monitoring anti-tumor responses .
Granzyme C is a serine protease expressed in murine cytotoxic lymphocytes, including CD4+ and CD8+ T cells as well as NK cells. It functions as part of the granule exocytosis pathway used to kill virus-infected and tumor cells . The murine granzyme C gene is orthologous to human granzyme H and is located 24.2Kb directly downstream from granzyme B in the granzyme B gene cluster . Recombinant granzyme C rapidly induces target cell death through mechanisms distinct from granzyme A or B-induced death pathways , making it an important component of the cytotoxic arsenal of immune cells.
The protein's structure reveals an unusual mechanism of protease autoinhibition , which likely plays a role in regulating its cytotoxic function. This autoinhibitory mechanism represents a unique aspect of granzyme C biology that differentiates it from other granzymes and provides insights into how cytotoxic activity is controlled within immune cells.
Naive CD4+ and CD8+ T cells express minimal Granzyme C (only 0.1 ± 0.1% of cells are positive) . Following activation with plate-bound CD3 and CD28 agonistic antibodies for 4 days, expression begins to appear in a small percentage of T cells (2.3 ± 1.0% of CD4+ and 6.6 ± 0.3% of CD8+ T cells) . Remarkably, just 24 hours later, nearly all T cells express Granzyme C (96.7 ± 2.7% of CD4+ and 98.7 ± 1.4% of CD8+ T cells) .
In contrast to T cells, resting NK cells express minimal Granzyme C mRNA, but expression increases substantially following IL-15 activation . Additionally, CD4+Foxp3+ regulatory T cells also express Granzyme C in certain contexts, such as in graft-versus-host disease (GVHD) models . This differential expression pattern across immune cell types suggests cell-specific regulatory mechanisms that control Granzyme C production.
A key distinction is the temporal expression pattern compared to Granzyme B. Flow cytometry with co-staining for both granzymes reveals that Granzyme B is detectable in CD4+ and CD8+ T cells at least 48 hours before Granzyme C is expressed . This delayed expression pattern is consistent in both in vitro activation models and in vivo GVHD models .
This sequential expression pattern suggests different regulatory mechanisms controlling these two granzymes, despite their genomic proximity. The delay in Granzyme C expression might indicate its involvement in later phases of immune responses or different functional roles compared to the earlier-expressed Granzyme B.
Flow cytometry using Granzyme C-specific monoclonal antibodies represents the most effective method for detecting Granzyme C protein at the single-cell level . Prior to the development of these specific antibodies, researchers lacked tools to measure Granzyme C protein in individual cells, limiting studies to mRNA-level analyses .
For experimental protocols, researchers typically perform intracellular staining following cell permeabilization, often with co-staining for cell surface markers to identify specific immune cell populations. This technique allows simultaneous assessment of Granzyme C expression alongside other parameters such as activation markers or other cytotoxic molecules.
When validating Granzyme C antibodies, researchers should employ multiple complementary approaches:
Genetic controls: Testing antibodies on samples from Granzyme C knockout models or CRISPR-edited cell lines lacking Granzyme C
Peptide blocking: Pre-incubating antibodies with recombinant Granzyme C to confirm signal reduction
Cross-reactivity assessment: Testing against other granzymes, particularly Granzyme B, given their genomic proximity and sequence similarities
Correlation studies: Comparing protein detection with mRNA expression patterns across different cell populations and activation states
For monoclonal antibodies like those described in the research, epitope mapping using peptide arrays or proteolytic fragments can provide additional validation by confirming the specific binding region.
Developing effective monoclonal antibodies against Granzyme C requires careful consideration of:
Antigen selection: Using full-length recombinant protein versus synthetic peptides from unique regions that differentiate Granzyme C from other granzymes
Immunization strategies: Optimizing protocols that enhance antibody responses to potentially weakly immunogenic epitopes
Screening methods: Implementing robust screening approaches that identify antibodies with high specificity and sensitivity for the native protein
Clone selection: Evaluating multiple clones for their performance across different applications (flow cytometry, immunohistochemistry, western blotting)
The development of Granzyme C-specific monoclonal antibodies has significantly advanced the field by enabling protein-level studies at the single-cell level , highlighting the importance of antibody development in advancing immunological research.
When designing experiments to study Granzyme C expression kinetics, researchers should consider:
| Time point | Recommended analyses | Cell types to examine |
|---|---|---|
| 0-48 hours | Primarily Granzyme B expression | CD4+ and CD8+ T cells |
| 72-96 hours | Early Granzyme C expression | CD4+ (2.3%), CD8+ T cells (6.6%) |
| 120 hours | Peak Granzyme C expression | CD4+ (96.7%), CD8+ T cells (98.7%) |
| Various | NK cell activation with IL-15 | NK cells |
For in vitro studies, activation of splenocytes with plate-bound CD3 and CD28 agonistic antibodies provides a reliable model . For in vivo models, the fully mismatched GVHD mouse model has been successfully employed to examine T cell expression of both granzymes .
Time-course experiments with multiple sampling points are essential, as the dramatic increase in Granzyme C expression occurs within a narrow 24-hour window after initial detection . Flow cytometry panels should include markers for cell identification, activation status, and co-staining for Granzyme B to establish the temporal relationship between these two proteases.
Critical controls for Granzyme C antibody staining include:
Isotype controls: Matched isotype antibodies at equivalent concentrations to establish background staining levels
Fluorescence-minus-one (FMO) controls: Especially important in multicolor flow cytometry panels
Biological negative controls: Unstimulated cells or cell populations known not to express Granzyme C
Biological positive controls: Cells stimulated under conditions known to induce maximal Granzyme C expression
Specificity controls: Antibody pre-absorption with recombinant Granzyme C protein
Additionally, including Granzyme B staining as an internal reference is valuable, as its expression precedes Granzyme C by approximately 48 hours , providing a temporal landmark for activation status.
Distinguishing between different granzymes in multiplex analyses requires:
Antibody selection: Using antibodies with thoroughly validated specificity and minimal cross-reactivity
Panel design: Careful selection of fluorophore combinations that minimize spectral overlap
Sequential staining: For closely related antigens, performing sequential staining with washing steps between antibodies
Compensation controls: Rigorous compensation when using multiple fluorochromes
Validation by alternative methods: Confirming key findings using techniques like qPCR for granzyme-specific mRNAs
The differential expression kinetics of Granzyme B and C provide an additional internal control, as Granzyme B expression should precede Granzyme C by approximately 48 hours in properly functioning experimental systems .
Assessing Granzyme C enzymatic activity requires approaches that distinguish it from other granzymes:
Synthetic substrate assays: Using peptide substrates with specific cleavage sites preferred by Granzyme C
Cell-based cytotoxicity assays: Measuring target cell death induced by purified Granzyme C or Granzyme C-expressing effector cells
FRET-based assays: Employing fluorescence resonance energy transfer substrates that provide real-time monitoring of enzymatic activity
Inhibitor studies: Using specific inhibitors to distinguish between different granzyme activities
When designing these assays, researchers must account for the unusual mechanism of protease autoinhibition reported for Granzyme C , which may affect activity measurements under different experimental conditions.
The structural analysis of Granzyme C has revealed an unusual mechanism of protease autoinhibition , which has significant implications for functional studies:
Activation requirements: Understanding the conditions required to relieve autoinhibition
Substrate specificity: Identifying structural elements that determine unique substrate preferences
Inhibitor design: Developing specific inhibitors based on structural features
Comparative analyses: Relating structural differences to functional differences between Granzyme C and other granzymes
Researchers should consider these structural insights when designing functional assays, as experimental conditions may influence the autoinhibitory state and consequently affect activity measurements.
To study Granzyme C within the complete cytotoxic machinery:
Co-expression analyses: Examining Granzyme C alongside perforin and other granzymes
Imaging techniques: Using confocal microscopy to visualize Granzyme C localization during formation of the immunological synapse
Knockout/knockdown studies: Selectively modulating Granzyme C expression while leaving other cytotoxic components intact
Single-cell analyses: Correlating Granzyme C expression with functional outcomes at the single-cell level
Since cytotoxic lymphocytes employ multiple mechanisms to kill target cells, isolating the specific contribution of Granzyme C requires careful experimental design that accounts for the complete cytotoxic arsenal.
Translational applications of Granzyme C research include:
Diagnostic potential: Exploring Granzyme C expression patterns as biomarkers in murine models of immune-related disorders
Therapeutic development: Using insights from murine Granzyme C to inform studies of its human ortholog, Granzyme H
Immunotherapy monitoring: Assessing Granzyme C expression as a marker of cytotoxic T cell activation in response to immunotherapies
Cross-species comparisons: Conducting comparative studies between murine Granzyme C and human Granzyme H to identify conserved functions
Since the murine Granzyme C gene is orthologous to human Granzyme H , findings from murine models may have direct relevance to human immunology, particularly in understanding cytotoxic mechanisms in cancer immunotherapy and viral infections.
Emerging technologies for high-throughput Granzyme C analysis include:
Mass cytometry (CyTOF): Allowing simultaneous measurement of Granzyme C alongside dozens of other markers
Single-cell RNA sequencing: Providing comprehensive transcriptional profiles that include Granzyme C mRNA
Imaging mass cytometry: Enabling spatial analysis of Granzyme C expression in tissue sections
Spectral flow cytometry: Offering improved multiplexing capabilities for complex immunophenotyping panels
Automated image cytometry: Combining flow cytometry with imaging for detailed morphological analysis
These technologies enable researchers to place Granzyme C expression in the broader context of immune cell states and functions, moving beyond the binary assessment of expression to understand its regulation and relationship with other cellular parameters.
The relationship between murine Granzyme C and human Granzyme H presents important considerations:
Orthologous relationship: The murine Granzyme C gene is orthologous to human Granzyme H , suggesting evolutionary conservation of function
Genomic organization: Both genes are located in the granzyme B cluster, with Granzyme C positioned 24.2Kb downstream from Granzyme B in mice
Expression patterns: Comparative studies of expression patterns in equivalent human and murine cell populations
Functional parallels: Similarities and differences in substrate specificity and cytotoxic mechanisms
When translating findings between species, researchers should acknowledge potential differences in regulatory mechanisms and functional roles while leveraging the orthologous relationship to inform human studies.
Common challenges in Granzyme C detection include:
| Challenge | Potential solution |
|---|---|
| Low signal intensity | Optimize fixation and permeabilization protocols; try signal amplification methods |
| Cross-reactivity | Validate antibody specificity; use genetic controls when possible |
| High background | Optimize blocking conditions; use appropriate isotype controls |
| Inconsistent staining | Standardize cell preparation and staining protocols; include positive controls |
| Temporal variability | Perform detailed time-course experiments; reference to Granzyme B expression |
The dramatic increase in Granzyme C expression within a narrow 24-hour window means that timing of analysis is critical. Researchers should carefully plan sampling points to capture the full expression kinetics.
For optimal simultaneous detection of multiple granzymes:
Antibody panel design: Select antibodies with minimal spectral overlap and confirmed lack of cross-reactivity
Sequential staining: Consider sequential rather than simultaneous staining for closely related targets
Fixation optimization: Different fixatives may preserve epitopes differently; optimize for all targets
Permeabilization conditions: Balance sufficient permeabilization for intracellular targets with epitope preservation
Titration: Carefully titrate each antibody individually before combining in multiplex panels
When studying both Granzyme B and C, researchers should account for their different expression kinetics, with Granzyme B appearing at least 48 hours before Granzyme C .
To address variability in Granzyme C expression:
Standardize activation protocols: Use consistent concentrations and quality of activating antibodies or cytokines
Control cell densities: Maintain uniform cell concentrations during activation
Account for donor variability: Include multiple biological replicates when using primary cells
Normalize to internal references: Consider normalizing to housekeeping proteins or consistently expressed markers
Time-course experiments: Perform detailed time-course experiments to capture expression peaks
The reported dramatic increase in Granzyme C expression from minimal levels to near-universal expression within 24 hours suggests that slight variations in timing could significantly impact results, highlighting the importance of precise experimental timing.