LYVE1 is a 322-residue transmembrane protein with a conserved Link module in its extracellular domain, enabling HA binding . Unlike CD44, its homolog, LYVE1 is lymphatic-specific and colocalizes with HA on the luminal face of lymphatic vessels . It facilitates leukocyte and dendritic cell (DC) migration into lymphatic vessels, a process critical for initiating immune responses . LYVE1 is also implicated in HA transport to lymph nodes and the liver, regulating tissue fluid homeostasis .
Multiple LYVE1 antibodies are available for research and therapeutic applications:
ALY7 (Thermofisher) is validated for detecting LYVE1 on mouse LECs and macrophages. It achieves optimal staining at ≤0.125 µg/test, suitable for analyzing lymphatic vessel development .
Ab33682 (Abcam) localizes LYVE1 to sinusoidal endothelial cells in liver tissue and lymphatic vessels in human and mouse samples .
AF2125 (R&D Systems) provides cytoplasmic staining in frozen sections, useful for mapping lymphatic networks .
Monoclonal antibodies (e.g., 64R) inhibit LYVE1-mediated HA binding, reducing lymphangiogenesis and tumor metastasis in xenograft models (e.g., MDA-MB-231 breast cancer) .
LYVE1 facilitates DC migration into lymphatic vessels via HA-mediated "transmigratory cups," enabling antigen presentation in lymph nodes . In Lyve1−/− mice, DC trafficking is reduced by 70%, leading to impaired immune responses .
LYVE1 promotes lymphangiogenesis and tumor cell dissemination. Inhibition of LYVE1 with monoclonal antibodies reduces primary tumor growth and lymph node metastasis in breast cancer models . Elevated LYVE1 expression correlates with lymphovascular invasion in colon and bladder cancers .
LYVE1 antibodies disrupt LEC migration and tube formation, highlighting its role in tissue repair .
LYVE1 is a promising target for:
LYVE1 is a transmembrane glycoprotein receptor for the extracellular matrix mucopolysaccharide hyaluronan (HA). It shares structural similarity with CD44, containing a conserved hyaluronan binding domain in its extracellular region. LYVE1 serves as one of the principal markers for lymphatic endothelial cells (LECs), alongside podoplanin, PROX-1, Tie-2, and VEGFR-3. Its importance as a research target stems from its relatively specific expression pattern on lymphatic vessels, making it invaluable for studying lymphatic system development, function, and pathology. The lymphatic system plays crucial roles in immune surveillance, protein transport, and cellular trafficking throughout the body, particularly for dendritic cells . LYVE1 expression has also been documented in certain populations of macrophages and liver sinusoidal endothelial cells, indicating its broader functional significance beyond just lymphatic vessels .
LYVE1 expression demonstrates a consistent pattern across species, though with some notable variations:
In humans:
Prominently expressed in lymphatic endothelial cells of various tissues
Detected in tonsil lymphatic vessels through immunohistochemistry
Present in liver and spleen tissues as confirmed by Western blot (approximately 60 kDa)
Expressed in some populations of human macrophages, particularly those differentiated with M-CSF
Found in human meninges, where cells co-express multiple lymphatic endothelial cell markers
In mice:
Expressed in lymphatic vessels across multiple tissues
Present in mouse meninges during embryonic development (E12.5, E13.5) and continues through E18, where it co-expresses with PROX1 and MRC1
Appears in peritumoral lymphatic endothelial cells in various tumor models (B16F10, E0771, MMTV-PyMT)
Interestingly, the expression intensity and pattern can vary under pathological conditions, with studies showing upregulation of MHC-II and PD-L1 in peritumoral lymphatic endothelial cells compared to naïve dermal LECs .
Selecting the appropriate LYVE1 antibody requires careful consideration of several factors:
Species reactivity: Ensure the antibody recognizes LYVE1 in your species of interest. The search results show antibodies specific for human LYVE1 (e.g., AF2089, MAB20892) and mouse LYVE1 (e.g., AF2125, ALY7) .
Application compatibility: Verify the antibody has been validated for your intended application:
For Western blot: Consider antibodies demonstrated to detect the appropriate size band (60-70 kDa for LYVE1)
For IHC: Select antibodies shown to work in your specific fixation method (paraffin vs. frozen sections)
For flow cytometry: Choose antibodies validated in suspension with appropriate cellular models
Clonality: Monoclonal antibodies offer consistency between lots but may be sensitive to epitope masking, while polyclonal antibodies provide broader epitope recognition but potential lot-to-lot variability.
Format: Consider whether you need unconjugated antibodies (for flexible detection strategies) or directly conjugated antibodies (for multicolor flow cytometry or direct visualization) .
Validation data quality: Examine the provided validation data thoroughly. Robust antibodies should show clear, specific staining patterns consistent with known LYVE1 biology across multiple validation methods .
Published literature: Search for papers that have successfully used the antibody in applications similar to yours, particularly those studying similar biological questions.
Validating LYVE1 antibody specificity is critical for reliable results. A comprehensive validation approach should include:
Positive and negative tissue controls:
Western blot validation:
RNAi or knockout confirmation:
Use siRNA/shRNA against LYVE1 or CRISPR-based LYVE1 knockout models to confirm signal reduction/loss
Co-staining with alternative LYVE1 antibodies:
Use antibodies from different hosts or against different epitopes to verify staining patterns
Multi-marker co-expression:
Blocking peptide competition:
Pre-incubate the antibody with the immunizing peptide to demonstrate specific binding
Flow cytometry validation:
Optimal conditions for LYVE1 detection by Western blot require careful attention to sample preparation, running conditions, and detection parameters:
Sample preparation:
Use tissues with known LYVE1 expression such as liver, spleen, or cultured lymphatic endothelial cells
Employ RIPA or similar lysis buffers containing protease inhibitors to preserve protein integrity
The search results indicate successful detection in human liver and spleen tissue lysates, as well as in cell lines including HeLa, MCF-7, and 293T
Electrophoresis conditions:
Antibody concentration and incubation:
Detection system:
Expected results:
Special considerations:
LYVE1 immunohistochemistry requires specific protocol modifications based on tissue type, fixation method, and detection system:
Fixation considerations:
Paraffin-embedded tissues: 4% paraformaldehyde fixation works well, though epitope retrieval is typically necessary
Frozen sections: Generally provide better epitope preservation and may require less stringent retrieval methods
Perfusion-fixed tissues (for animal models): Often yield superior results for vascular markers like LYVE1
Tissue-specific protocols:
Human tonsil: 15 μg/mL of AF2089 (Goat Anti-Human LYVE1) with overnight incubation at 4°C works effectively
Mouse liver: 15 μg/mL of AF2125 (Goat Anti-Mouse LYVE1) with overnight incubation at 4°C yields specific labeling of sinusoidal endothelial cells
Mouse lung and heart: Paraffin-embedded sections have been successfully stained using the RM0033-4D17 antibody
Mouse and human meninges: Co-staining protocols with PROX1 and MRC1 have been established
Antigen retrieval methods:
Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
For paraffin sections, more aggressive retrieval may be necessary compared to frozen sections
Detection systems:
Special considerations:
Background reduction: Include a blocking step with serum from the same species as the secondary antibody
Autofluorescence mitigation: For fluorescent detection in tissues with high autofluorescence (e.g., liver), consider using Sudan Black B treatment or spectral unmixing
For co-staining: Carefully plan antibody combinations to avoid cross-reactivity; sequential staining may be necessary
Interpreting variations in LYVE1 expression across pathological conditions requires careful consideration of multiple factors:
Baseline expression understanding:
Cancer-associated changes:
Peritumoral lymphatic vessels often show altered LYVE1 expression compared to normal lymphatics
Evidence shows that peritumoral LECs upregulate MHC-II and PD-L1 compared to naïve dermal LECs in multiple tumor models (B16F10, E0771, MMTV-PyMT)
These changes may reflect functional alterations in tumor-associated lymphatics, potentially related to immune regulation and metastasis
Inflammatory conditions:
Developmental context:
Aging and neurodegeneration:
Technical considerations for interpretation:
Always normalize expression to appropriate housekeeping proteins/genes
Use quantitative methods (densitometry for Western blots, quantitative image analysis for IHC)
Compare multiple timepoints when studying progressive conditions
Consider using multiple detection methods (e.g., Western blot and IHC) to validate findings
Researchers frequently encounter several technical challenges when working with LYVE1 antibodies. Here are the most common issues and their solutions:
Weak or absent signal:
Non-specific binding and high background:
Inconsistent results between experiments:
Cause: Variations in sample preparation, antibody lots, or detection methods
Solution: Standardize protocols, include consistent positive controls across experiments, and consider using monoclonal antibodies for greater consistency
Discrepancies between detection methods:
Cause: Different epitope accessibility in various applications (WB vs. IHC vs. flow cytometry)
Solution: Validate antibodies separately for each application, and be aware that some antibodies may work well for one application but not others
Glycosylation-related issues:
Fixation artifacts in IHC:
Cause: Over-fixation or inappropriate fixative choice can mask LYVE1 epitopes
Solution: Optimize fixation protocols (duration, fixative type), compare frozen versus paraffin-embedded sections, and test different antigen retrieval methods
Co-staining challenges:
Cause: Antibody cross-reactivity or incompatible detection systems
Solution: Use antibodies raised in different host species, employ sequential staining protocols, and carefully select compatible fluorophores to avoid spectral overlap
LYVE1 antibodies serve as powerful tools for investigating tumor-associated lymphangiogenesis and metastasis through multiple sophisticated approaches:
Characterization of peritumoral lymphatic vessels:
LYVE1 antibodies allow visualization and quantification of lymphatic vessel density around tumors
Research has shown that peritumoral lymphatic vessels display altered phenotypes, with upregulation of MHC-II, PD-L1, PD-L2, HVEM, and CD48 compared to normal lymphatics
These changes were documented in multiple tumor models including B16F10 melanoma, E0771 mammary carcinoma, and MMTV-PyMT spontaneous mammary tumors
Quantitative assessment can be performed using parameters such as vessel density, diameter, and branching
Temporal monitoring of lymphangiogenic processes:
Molecular profiling of tumor-associated lymphatics:
Functional assessment of lymphatic vessels in metastasis:
LYVE1 antibodies can help identify tumor cells within lymphatic vessels (lymphovascular invasion)
Coupling LYVE1 staining with tumor cell tracking enables visualization of metastatic routes
Investigation of cytokine effects on lymphatic endothelium:
Methodological considerations for tumor studies:
Use both xenograft/syngeneic models and spontaneous tumor models for comprehensive assessment
Include analysis of both peritumoral and intratumoral lymphatics
Correlate lymphatic vessel parameters with metastatic burden in downstream lymph nodes
Innovative research approaches are increasingly combining LYVE1 antibodies with cutting-edge technologies to advance lymphatic system research:
Multi-dimensional Microscopic Molecular Profiling (MMMP):
This advanced approach combines iterative antibody staining and imaging cycles with computational integration
LYVE1 antibodies have been incorporated into MMMP workflows to map lymphatic networks in complex tissue contexts
The technique involves repeated cycles of staining, imaging, chemical bleaching, and re-staining the same tissue section
This enables simultaneous visualization of LYVE1 with dozens of other markers on the same tissue section
Intravital imaging with LYVE1 antibodies:
Direct conjugation of LYVE1 antibodies with fluorophores suitable for in vivo imaging
Allows real-time visualization of lymphatic vessel function and cellular trafficking
Can be combined with fluorescently labeled tumor cells or immune cells to track interactions with lymphatics
Single-cell omics integration:
LYVE1 antibodies can be used for cell sorting (FACS) of lymphatic endothelial cells prior to single-cell RNA-seq
This approach enables comprehensive transcriptomic profiling of lymphatic endothelial heterogeneity
Integration of protein expression data (from LYVE1 staining) with transcriptomic data provides multi-omic insights
3D reconstruction and computational modeling:
Serial section staining with LYVE1 antibodies allows 3D reconstruction of lymphatic networks
Computational approaches can then model fluid flow, cellular trafficking, and network connectivity
These models provide insights into lymphatic function that cannot be observed with standard 2D imaging
Optogenetic and biosensor integration:
LYVE1 promoter-driven expression of optogenetic tools or biosensors
Enables functional manipulation and monitoring of lymphatic endothelial cells
Can be combined with LYVE1 antibody staining to correlate functional changes with spatial information
LYVE1-targeted nanoparticle delivery systems:
LYVE1 antibodies can be conjugated to nanoparticles for targeted delivery to lymphatic vessels
Applications include lymphatic-specific drug delivery and molecular imaging
These approaches hold potential for both research and therapeutic applications
When designing lymphatic vessel research, understanding the comparative performance of different markers is essential:
Research has demonstrated that combining multiple markers provides the most robust identification of lymphatic vessels. For example, co-staining of LYVE1 with PROX1 and MRC1 has been effectively used to identify lymphatic-like cells in the meninges . The comparative analysis across multiple markers helps overcome the limitations of any single marker.
Researchers frequently encounter discrepancies in LYVE1 detection across different experimental platforms. Addressing these discrepancies requires systematic troubleshooting:
Antibody epitope considerations:
Different antibodies target different LYVE1 epitopes, which may be differentially accessible depending on the technique
For human LYVE1, antibodies like AF2089 target the Ser24-Thr238 region , while for mouse LYVE1, antibodies like AF2125 target the Ala24-Thr234 region
Some epitopes may be masked by protein folding or post-translational modifications in certain applications
Western blot vs. immunostaining discrepancies:
Flow cytometry considerations:
Post-translational modification effects:
Systematic validation approach:
Test multiple antibodies across your experimental platforms
Include positive controls known to express LYVE1 (e.g., lymphatic vessels in tonsil or liver sinusoids )
Validate findings with orthogonal methods (e.g., qPCR for mRNA expression)
Consider using genetically modified cells (LYVE1 overexpression or knockout) for definitive validation
Documentation and reporting:
Thoroughly document all experimental conditions that affect detection
When publishing, clearly specify antibody clone, catalog number, dilution, and detection method
Acknowledge limitations of specific detection platforms in your interpretations
Recent research has uncovered several non-traditional roles for LYVE1 that merit further investigation:
Neuroimmune interactions in the central nervous system:
LYVE1 expression has been detected in human and mouse meninges, co-expressed with PROX1 and MRC1
This suggests potential roles in brain fluid dynamics and neuroimmune interactions
The presence of LYVE1+ cells in both developing (E12.5-E18) and adult meninges indicates functional significance across the lifespan
Future studies should investigate how these LYVE1+ cells in the meninges contribute to CNS homeostasis and disease
Macrophage-specific LYVE1 functions:
Role in tumor immunity and immunotherapy response:
Peritumoral lymphatic endothelial cells show upregulation of immune regulatory molecules including MHC-II, PD-L1, PD-L2, HVEM, and CD48
LYVE1+ vessels may play active roles in tumor immunity beyond passive conduits for metastasis
Studies should investigate how targeting LYVE1+ cells might influence immunotherapy efficacy
Liver-specific functions:
Developmental biology applications:
Hyaluronan interaction biology:
Several emerging technological developments hold promise for enhancing LYVE1 antibody applications in clinical and translational research:
Advanced imaging technologies:
Super-resolution microscopy techniques could reveal nanoscale organization of LYVE1 on cell surfaces
Light sheet microscopy enables 3D visualization of entire lymphatic networks while preserving spatial relationships
Multi-dimensional Microscopic Molecular Profiling (MMMP) allows iterative staining of tissues to create comprehensive molecular maps
These technologies could transform our understanding of LYVE1 distribution in complex tissues
Single-cell technologies integration:
Combining LYVE1 antibodies with single-cell RNA-seq through methods like CITE-seq could correlate protein expression with transcriptional states
Spatial transcriptomics techniques could map LYVE1 expression alongside the entire transcriptome within tissue contexts
These approaches would provide unprecedented insights into heterogeneity among LYVE1+ cells
AI-assisted image analysis:
Machine learning algorithms could enhance quantification of LYVE1+ structures in complex tissues
Automated pattern recognition could identify subtle changes in LYVE1 expression or localization associated with disease states
This would enable more objective, reproducible, and high-throughput analysis of LYVE1 expression
In vivo imaging applications:
Development of non-invasive imaging techniques using labeled LYVE1 antibodies or fragments
PET, SPECT, or optical imaging approaches could visualize lymphatic vessels in living subjects
These techniques could enable longitudinal studies of lymphatic function in disease progression and treatment response
Therapeutic applications:
LYVE1-targeted drug delivery systems could specifically target lymphatic vessels or LYVE1+ macrophages
Antibody-drug conjugates directed against LYVE1 might disrupt tumor-associated lymphatic vessels
Bispecific antibodies linking LYVE1 with immune checkpoint molecules could modulate immune responses within lymphatic microenvironments
Standardization efforts:
Development of recombinant LYVE1 standards for antibody validation
Creation of reference materials and protocols for clinical applications
These standardization efforts would enhance reproducibility across laboratories and facilitate clinical translation