The GL1 antibody refers primarily to a rat monoclonal antibody that specifically recognizes mouse CD86 (B7-2), an approximately 80 kDa cell surface protein. It serves as a crucial reagent for studying costimulatory interactions in the immune system . Interestingly, the GL1 designation has also been used for a different monoclonal antibody employed in developmental biology studies, particularly in chick embryo research . This comprehensive review addresses both antibodies, with primary focus on the immunological GL1 anti-CD86 antibody due to its more extensive research applications.
CD86, the target antigen of GL1 antibody, is a type I membrane protein belonging to the immunoglobulin superfamily . This costimulatory molecule is expressed across a spectrum of immune cells, predominantly:
B lymphocytes
Macrophages (particularly thioglycolate-induced peritoneal macrophages)
Dendritic cells
Activated T cells
CD86 expression is typically low in resting peripheral B and T cells but increases substantially following various stimuli, with peak expression occurring between 18-42 hours post-activation . Notably, while most naïve CD4+ T cells lack significant CD86 expression, memory CD4+ T cells constitutively express this molecule at both mRNA and protein levels .
CD86 functions as a ligand for CD28 and CD152 (CTLA-4), playing a critical role in the costimulatory signaling pathway essential for T cell activation . This interaction contributes to several key immune processes:
T cell proliferation and IL-2 production
T cell-B cell costimulatory interactions
Immunoglobulin class-switching
NK cell-mediated cytotoxicity
The CD86-CD28 interaction, occurring concurrently with T cell receptor (TCR) activation, drives T cell proliferation, induces high-level expression of IL-2, imparts resistance to apoptosis, and enhances T cell cytotoxicity . This communication between T cells and antigen-presenting cells (APCs) coordinates the adaptive immune response.
The GL1 antibody is extensively employed in flow cytometric analysis, serving as a marker for CD86 expression on B cells, macrophages, and dendritic cells . Its various fluorochrome conjugates facilitate integration into multicolor panels for comprehensive immunophenotyping.
Table 1: GL1 Antibody Conjugates and Their Applications in Flow Cytometry
| Conjugate | Excitation (nm) | Emission (nm) | Compatible Lasers | Recommended Usage |
|---|---|---|---|---|
| PE | 488-561 | 578 | Blue, Green, Yellow-Green | ≤0.125 μg per test |
| Brilliant Violet™ 605 | 405 | 605 | Violet | ≤0.06 μg per test |
| Super Bright™ 645 | 405 | 645 | Violet | ≤0.5 μg per test |
| Brilliant Ultra Violet™ 737 | 355 | 732 | Ultraviolet | ≤0.06 μg per test |
| APC | 633-647 | 660 | Red | Variable |
| BUV395 | 355 | 395 | Ultraviolet | Variable |
Beyond its use as a marker, the GL1 antibody demonstrates functional applications in both in vitro and in vivo studies:
Blocks mixed lymphocyte reaction (MLR) in vitro
Inhibits T cell stimulation by antigen-presenting cells
When combined with anti-B7-1 antibodies, inhibits the in vivo priming of cytotoxic T lymphocytes
Blocks the interaction between CD152 (CTLA-4) and its ligands
These functional properties make GL1 antibody valuable for studying costimulatory requirements in immune responses and potentially for developing immunomodulatory strategies.
The GL1 antibody has demonstrated utility in multiple other experimental contexts:
Immunoprecipitation
Immunohistochemical staining of acetone-fixed frozen sections (not suitable for formalin-fixed paraffin sections)
Immunofluorescence microscopy
A separate monoclonal antibody also named GL1 (for "germ layer 1") has been identified in developmental biology research. This antibody demonstrates a precise expression pattern during gastrulation and early neurulation stages in chick embryos . Unlike the immunological GL1 antibody, this developmental GL1 shows expression in several embryonic structures that appear developmentally unrelated.
The developmental GL1 antibody displays a specific distribution pattern:
Present during early stages of otic placode formation
Expressed in pharyngeal endoderm
Found in certain neural crest cells
Present in somites
Expressed on the ventricular (apical) surface of the neuroepithelium from stage HH15 onwards
In the nervous system, the expression is particularly patterned, with two broad lines of expression in the ventricular side of the metencephalic region, a unique centered expression at the metencephalon-myelencephalon border, and two lines running along the myelencephalon and rostral spinal cord .
Research indicates that the developmental GL1 antibody can be induced by members of the fibroblast growth factor (FGF) family, suggesting a potential role in FGF-mediated developmental processes . Studies have utilized this property to investigate the antibody's involvement in otic placode formation. The evidence suggests that GL1 serves as a useful marker for studying developmental processes in:
Recent technological advances have enabled the use of GL1 antibody in high-parameter flow cytometry panels. Research has successfully demonstrated the transfer of 20-color panels incorporating GL1 antibody from cell analyzers to cell sorters for downstream multiomics applications. This approach allows for deep cell identification and sorting of multiple lymphocyte subpopulations simultaneously .
GL1 antibody has been implemented in workflows combining high-parameter flow cytometry with single-cell RNA sequencing. These protocols enable:
Immunophenotypic characterization using the GL1 antibody
Isolation of specific cell populations via cell sorting
Single-cell capture and library preparation
Next-generation sequencing for simultaneous protein and mRNA expression analysis
This comprehensive workflow reveals greater cellular heterogeneity and may identify new markers defining populations of interest.
Recent developments in flow cytometry have expanded the capabilities to include RNA detection alongside protein analysis. Techniques such as the PrimeFlow RNA Assay incorporate branched DNA (bDNA) signal amplification to enable simultaneous detection of up to four RNA transcripts alongside protein markers like CD86 . This methodology allows researchers to:
Examine CD86 protein expression and corresponding mRNA levels in the same cells
Investigate regulatory mechanisms controlling CD86 expression
Explore the dynamics of RNA and protein expression simultaneously within millions of single cells
When working with GL1 antibody, several technical factors should be considered:
Titration is essential for optimal performance, with recommended concentrations varying by application and conjugate
When using polymer dye-conjugated versions (Super Bright, Brilliant Violet™, or Brilliant Ultra Violet™), specialized staining buffers are recommended to minimize non-specific interactions
The antibody should be stored undiluted at 2-8°C, protected from light, and should not be frozen
For functional assays, Ultra-LEAF™ purified antibody (Endotoxin < 0.01 EU/μg, Azide-Free, 0.2 μm filtered) may be preferred
Proper experimental design with GL1 antibody requires appropriate controls:
An isotype control should be used at the same concentration as the GL1 antibody
Antibody performance should be validated for each specific application
When using multiple fluorochromes with overlapping spectra, proper compensation is essential
While the GL1 antibody itself is primarily a research tool, its target (CD86) represents a potential therapeutic target. Modulating the CD86-CD28/CTLA-4 interaction could have applications in:
Autoimmune disease treatment
Transplant rejection prevention
Cancer immunotherapy enhancement
For the developmental GL1 antibody, future research directions include:
GL1 (also written as GL-1) is a rat monoclonal antibody that specifically recognizes mouse CD86, also known as B7-2, a member of the B7 family of costimulatory molecules. CD86 is an approximately 80 kDa surface receptor expressed on antigen-presenting cells. The GL1 clone was originally developed using LPS-activated CBA/Ca mouse splenic B cells as the immunogen . This antibody recognizes an epitope on the extracellular domain of CD86 that is critical for its interaction with CD28 and CTLA-4. GL1 antibody is widely used in immunological research to detect, quantify, and functionally block CD86-mediated interactions .
CD86 serves as a critical costimulatory molecule during antigen presentation. Its significance in immune regulation includes:
Functioning as a counter-receptor for the T cell surface molecules CD28 and CD152 (CTLA-4)
Playing essential roles in T-B cell crosstalk and T cell costimulation
Contributing to autoantibody production and Th2-mediated immunoglobulin production
Providing the "second signal" required for effective T cell activation, with its absence potentially leading to T cell anergy or tolerance
The kinetics of CD86 upregulation upon stimulation supports its major contribution during the primary phase of an immune response, distinguishing it from CD80 (B7-1) which plays a more prominent role in later phases .
CD86 expression follows a specific pattern across immune cell populations:
Expressed at low baseline levels on B cells, macrophages, and dendritic cells
Upregulated on B cells through various surface stimuli including BCR complex engagement, CD40 ligation, and certain cytokine receptor stimulation
Also expressed by activated mouse T cells and thioglycolate-elicited peritoneal cells
Expressed on astrocytes, providing a neuroimmune interface
The regulation of CD86 expression is dynamic and context-dependent, with rapid upregulation occurring within hours of activation stimuli, making it a useful marker for early immune cell activation states .
GL1 antibody has been validated for multiple experimental applications:
Flow cytometric analysis of CD86 expression on various cell types, particularly B cells, dendritic cells, and macrophages
Immunohistochemical staining of acetone-fixed frozen tissue sections
Immunofluorescence microscopy for cellular localization studies
In vivo and in vitro blocking of T cell responses mediated by CD86-CD28/CTLA-4 interactions
It's important to note that GL1 is not suitable for immunohistochemical staining of formalin-fixed paraffin-embedded sections, which is a significant limitation for certain experimental designs .
For optimal flow cytometry results with GL1 antibody, researchers should follow these methodological considerations:
Titrate the antibody carefully, with recommended starting concentrations of ≤0.125 μg per test (where a test is defined as staining 10^5-10^8 cells in a final volume of 100 μL)
Determine optimal cell numbers empirically, though typical ranges are 10^5 to 10^8 cells per test
For PE-conjugated GL1, use appropriate excitation wavelengths (488-561 nm) and emission filters (578 nm)
Store the antibody solution undiluted between 2°C and 8°C, protected from prolonged light exposure, and never freeze
Include appropriate isotype controls and single-stain controls when designing multicolor panels
Proper titration is particularly crucial for achieving the optimal signal-to-noise ratio and ensuring reliable quantitative measurements of CD86 expression .
GL1 antibody is particularly valuable for functional studies of CD86-mediated immune interactions:
Inhibiting the priming of cytotoxic T lymphocytes in vivo when used in combination with anti-B7-1 antibodies
Investigating T cell costimulation requirements in various immunological contexts
Studying the differential contributions of CD86 versus CD80 in T helper cell differentiation
For functional blocking studies, researchers should use the Ultra-LEAF™ purified format of GL1 antibody (endotoxin <0.01 EU/μg, azide-free, 0.2 μm filtered) to avoid confounding effects from preservatives or endotoxin contamination .
For advanced investigation of T cell costimulation pathways, researchers can employ GL1 antibody in several sophisticated experimental designs:
Combinatorial blocking studies with anti-CD80 and anti-CD86 antibodies to dissect the relative contributions of each costimulatory molecule to T cell activation
Comparative analysis of CD86 blockade effects on different T cell subsets (Th1, Th2, Th17, Tregs) to understand subset-specific costimulation requirements
Time-course studies exploiting the differential kinetics of CD80 vs. CD86 expression to target specific phases of immune responses
In vivo blocking experiments to assess CD86 contributions to vaccine responses, autoimmunity models, or transplant rejection
These approaches can yield insights into the complex interplay between CD86 and other costimulatory/inhibitory pathways that regulate T cell activation thresholds and functional differentiation .
When designing in vivo blocking experiments with GL1 antibody, researchers should consider:
Dosing regimen: Typically 100-200 μg per mouse, with specific optimization needed based on the experimental model
Timing: Administration before or at the time of antigenic challenge for preventive studies, or after challenge for therapeutic assessment
Delivery route: Intraperitoneal injection is most common, though intravenous routes may provide more rapid distribution
Duration: Half-life considerations may necessitate repeated dosing for sustained blockade
Combination approaches: Co-administration with anti-CD80 antibodies often provides more complete blockade of costimulation
Controls: Isotype-matched control antibodies are essential to differentiate specific from non-specific effects
Verification of blockade: Ex vivo assessment of CD86 accessibility on target cells to confirm effective blocking
The Ultra-LEAF™ preparation is strongly recommended for in vivo applications to minimize endotoxin-related confounding effects .
For comprehensive immune profiling incorporating CD86 detection:
Design multicolor flow cytometry panels that include GL1 antibody with markers for:
Cell lineage identification (e.g., CD19 for B cells, CD11c for dendritic cells)
Activation status markers (e.g., MHC-II, CD40, CD69)
Additional costimulatory molecules (CD80, CD40, ICOSL)
Functional markers (cytokine production, proliferation markers)
Consider spectral compatibility when selecting GL1 conjugates:
Implement dimensionality reduction techniques (tSNE, UMAP) for visualization and unsupervised clustering to identify novel CD86-expressing cell populations or correlation patterns with other markers .
Researchers commonly encounter several technical challenges when working with GL1 antibody:
To maintain optimal performance of GL1 antibody preparations:
Store undiluted between 2°C and 8°C, never freeze the conjugated antibody formulations
Protect fluorochrome-conjugated formats from prolonged light exposure
Maintain sterility by using aseptic technique when handling
Avoid repeated freeze-thaw cycles with unconjugated antibody preparations
Be aware that sodium azide (0.09%) is present in many commercial preparations as a preservative, which can inhibit certain enzymatic reactions and is toxic at high concentrations
For functional assays, use azide-free, low-endotoxin preparations (Ultra-LEAF™)
Centrifuge the vial briefly before opening to collect liquid at the bottom
Observe expiration dates and recommended storage conditions specified by manufacturers
Following these guidelines helps maintain antibody binding affinity and fluorophore activity over time .
To validate GL1 antibody specificity in experimental systems:
Perform staining on known CD86-positive cells (LPS-activated B cells) and CD86-negative cells as biological controls
Include isotype control antibodies (rat IgG2a) at equivalent concentrations to assess non-specific binding
Conduct blocking/competition experiments with unlabeled GL1
Compare staining patterns with alternative anti-CD86 clones
Verify expected expression patterns on different cell populations (B cells > dendritic cells > resting T cells)
For knockout validation, use CD86-deficient cells or tissues as the gold standard negative control
Confirm functional blockade by assessing inhibition of T cell proliferation in mixed lymphocyte reactions
These validation steps ensure that experimental results reflect specific detection of CD86 rather than artifacts .
CD86 expression levels provide important insights into immune cell functional states:
Low expression on resting B cells, macrophages, and dendritic cells indicates a quiescent state
Rapid upregulation (within hours) following activation signals such as BCR engagement, TLR stimulation, or CD40 ligation indicates early activation
High expression on mature dendritic cells correlates with potent T cell stimulatory capacity
Differential expression relative to CD80 can indicate the phase of an immune response, with CD86 predominating in early phases
Aberrant expression patterns may indicate pathological states or dysregulated immune activation
Quantitative assessment of CD86 expression using standardized measures (median fluorescence intensity, molecules of equivalent soluble fluorochrome) allows for more precise correlation with functional capabilities .
CD86 and CD80 exhibit both overlapping and distinct roles in T cell regulation:
Both interact with CD28 (costimulatory) and CTLA-4 (inhibitory), but with different binding kinetics and affinities
CD86 is typically upregulated more rapidly than CD80 following activation stimuli
CD86 appears to play a predominant role during the primary phase of immune responses
CD80 shows stronger binding to CTLA-4, potentially contributing to more potent inhibitory signals
Differential expression patterns on various antigen-presenting cells suggest specialized functions
Combined blockade of both CD80 and CD86 typically produces more complete inhibition of T cell responses than blocking either alone
CD86 may play a preferential role in certain Th2-mediated responses and antibody production
Understanding these distinctions helps researchers design more targeted interventions for specific immunological scenarios .
When comparing GL1 antibody data across different experimental models, researchers should consider:
Mouse strain variations: CD86 expression patterns and regulatory mechanisms may differ between common laboratory strains
Age-dependent effects: Immune senescence can alter costimulatory molecule expression and function
Microbiome influences: Housing conditions and microbiota composition can affect baseline immune activation states
Technical variables: Different flow cytometer configurations, antibody lots, and experimental protocols may introduce variability
Biological context: Infection status, inflammatory conditions, and genetic backgrounds can significantly modify CD86 expression patterns
Antibody format differences: Various conjugates (PE, APC, FITC) may have different sensitivities and dynamic ranges
Quantification methods: Percentage positive versus MFI measurements provide different information about expression patterns
Standardization of protocols, inclusion of appropriate controls, and careful reporting of methodological details facilitate meaningful cross-study comparisons .
GL1 antibody has significant potential for therapeutic research applications:
Preclinical modeling of CD86-targeted immunotherapies for autoimmune diseases
Investigation of CD86 blockade in combination with checkpoint inhibitors for cancer immunotherapy
Study of selective CD86 vs. CD80 targeting to fine-tune costimulatory signals
Development of modified GL1 derivatives with enhanced blocking or depleting capabilities
Exploration of GL1 in establishing tolerogenic conditions for transplantation models
Investigation of tissue-specific roles of CD86 in specialized immune microenvironments
While primarily a research tool, insights gained from GL1 studies inform the development of humanized therapeutic antibodies targeting the CD86 pathway in clinical settings .
Emerging technologies that could enhance GL1 antibody applications include:
Single-cell RNA-seq combined with protein detection (CITE-seq) to correlate CD86 protein expression with transcriptional states
Mass cytometry (CyTOF) incorporation of metal-labeled GL1 for high-parameter analysis without fluorescence spillover concerns
Super-resolution microscopy to study nanoscale organization of CD86 in immune synapses
Intravital imaging using fluorescent GL1 derivatives to track CD86 dynamics in vivo
Bifunctional antibody constructs linking GL1 specificity to reporter enzymes or fluorescent proteins
Engineered GL1-based chimeric antigen receptors (CARs) to target CD86-expressing cells
These technological advances promise to extend the utility of GL1 antibody beyond conventional applications and provide deeper insights into CD86 biology .
Advanced computational approaches can significantly enhance GL1 antibody experimental data analysis:
Machine learning algorithms to identify subtle patterns in CD86 expression across cell populations
Network analysis to map CD86 interactions with other costimulatory and inhibitory pathways
Predictive modeling of CD86 blockade effects on immune response trajectories
Systems biology approaches integrating CD86 expression data with transcriptomics, proteomics, and metabolomics
Spatial analysis algorithms for quantifying CD86+ cell distributions in tissue microenvironments
Temporal modeling of CD86 expression dynamics during immune response development
Multi-omics data integration to contextualize CD86 expression within broader immune signatures
These computational strategies transform descriptive GL1 antibody data into predictive models with greater biological insight and translational relevance .