Proteomic analysis in HEK293T cells revealed:
22 shared interactors (e.g., lysosomal proteins, adhesion molecules).
9 unique interactors for Gal-8S: Includes CLCN3, CLCN7, LAMP1, and LAMP2, linked to secretory vesicle function .
Bone Resorption: Gal-8S is the predominant isoform in mature osteoclasts, accounting for ~60% of total Gal-8 expression. Inhibition of Gal-8S reduces osteoclast nuclearity and bone resorption activity .
mTORC1 Signaling: Gal-8 regulates mTORC1, a pathway critical for osteoclast differentiation and survival .
Proteomics: Gal-8S interacts with lysosomal proteins (e.g., LAMP1/2), suggesting a role in vesicle secretion during bone degradation .
Tumor Microenvironment: High Gal-8 expression correlates with immunosuppression, promoting expansion of regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs) while reducing CD8+ T cell infiltration .
Cytokine Production: Induces IL-1β, TNF-α, IL-6, and chemokines (e.g., SDF-1, MCP-1) in immune cells, exacerbating inflammation and metastasis .
Metastasis: Gal-8 secreted by tumors creates a "vicious cycle," recruiting tumor cells to metastatic niches via chemoattractant secretion .
Clinical Relevance: Elevated LGALS8 expression in breast and colorectal cancers correlates with lymph node metastasis and poor prognosis .
Interacting Protein | Function | Isoform Specificity |
---|---|---|
CLCN3 | Chloride channel, lysosomal pH | Gal-8S |
CLCN7 | Lysosomal degradation | Gal-8S |
LAMP1 | Lysosomal membrane protein | Gal-8S |
LAMP2 | Chaperone-mediated autophagy | Gal-8S |
Data derived from LC-MS/MS analysis of HEK293T cells expressing Gal-8 isoforms .
MDSC Expansion: Gal-8-rich tumors exhibit increased MDSC infiltration, suppressing T-cell activity .
Gene Expression: LGALS8 negatively correlates with CD8+ T cell abundance and immune stimulatory genes (e.g., CXCL9) in clinical samples .
LGALS8 shows a heterogeneous expression pattern across mouse brain regions. It demonstrates moderate expression in the molecular cell layer (MCL), accessory olfactory bulb's granular cell layer (AOB GCL), and the glomerular layer (GL) of the olfactory bulb, albeit at lower intensity compared to other galectins like LGALS9 . In the cerebellum, LGALS8 shows very low expression in the granular cell layer (GCL) with some cells showing below moderate intensity levels, while higher expression is observed in the Purkinje cell layer (PCL) . LGALS8 also exhibits moderate expression throughout the substantia nigra, though with lower cellular density compared to LGALS9 .
LGALS8 shows a more conserved expression profile across mouse and human brains compared to other galectins. While LGALS9 has maximal spatial distribution across mouse brain with inferred predominant roles in neurogenesis, LGALS8 shows more specific localization patterns . Notable differences exist in limbic regions associated with learning, memory, and emotions, as well as in the substantia nigra associated with motor movements, where LGALS1 and LGALS8 show strikingly high expression in human versus mouse brain .
Several transcription factors have been identified as potential regulators of LGALS8 expression in mouse brain. These include SMARCA4, SOX2, MYC, FOXP3, KLF4, and CTCF, which show co-expression with LGALS8 particularly in the molecular cell layer of the olfactory bulb . In the Purkinje cell layer of the cerebellum, MYC, ESRRB, and SOX2 are predicted to regulate LGALS8 expression and show correlation with its distinctive boundary expression . In the substantia nigra, SOX2 and POU5F1 appear to be potential regulators of LGALS8 .
While direct evidence for LGALS8's role in neuronal migration from the search results is limited, researchers can approach this question methodologically by:
Conducting time-course expression studies of LGALS8 during development
Performing cell-specific knockdown experiments in neural precursor cells
Using live-cell imaging to track migration patterns in LGALS8-deficient neurons
Comparing LGALS8 with LGALS3, which has established roles in neuronal migration
The expression of LGALS8 in the rostral migratory stream and olfactory bulb suggests potential involvement in neuroblast migration, similar to that reported for LGALS3 . Contradictory findings might be reconciled by examining cell-type specific effects and developmental timing of expression.
This question requires experimental approaches focusing on structure-function relationships:
Generate domain-specific mutations or truncations of LGALS8
Express these modified proteins in neuronal cultures to assess effects on neurite outgrowth, synapse formation, and neuronal survival
Conduct pull-down assays to identify binding partners specific to each domain
Perform in vivo expression of domain mutants using viral vectors to assess region-specific functions
This methodological approach can help determine whether the carbohydrate recognition domain or other structural elements of LGALS8 are essential for its neurological functions.
The search results indicate that LGALS8's expression profile is most preserved between mouse and human brains compared to other galectins . To investigate its evolutionary significance:
Perform comparative transcriptomics of LGALS8 expression in homologous brain regions across multiple species
Analyze species-specific binding partners using cross-species proteomics
Examine the conservation of regulatory elements in LGALS8 promoter regions
Use CRISPR to humanize mouse LGALS8 regulatory regions and assess phenotypic changes
This approach can reveal whether LGALS8 contributes to conserved neurological functions or species-specific adaptations.
Based on the available information, researchers should consider multiple detection methods:
For ELISA-based detection, the Abbexa LGALS8 ELISA kit offers a detection range of 0.156-10 ng/ml with a sensitivity of 0.1 ng/ml . This sandwich ELISA method is suitable for tissue homogenates, cell lysates, and other biological fluids .
A comprehensive experimental design should include:
Region-specific conditional knockout or knockdown approaches
Cre-loxP system targeting specific neuronal populations
Viral vector delivery of shRNA to specific brain regions
Functional assessments based on regional expression patterns
For substantia nigra studies: motor coordination tests
For olfactory bulb studies: olfactory discrimination tasks
For cerebellar studies: motor learning paradigms
Molecular interaction studies
Region-specific proteomics to identify binding partners
Co-immunoprecipitation experiments from specific brain regions
Control experiments
Use of appropriate control regions where LGALS8 expression is minimal
Validation with multiple antibodies or detection methods
Based on LGALS8's expression patterns, researchers should consider:
Temporal analysis
Embryonic, postnatal, and adult expression profiling
Time-course studies during critical developmental periods
Cell culture models
Primary neuronal cultures from specific brain regions
Neural stem cell differentiation assays
Developmental perturbation studies
In utero electroporation of LGALS8 constructs
Early postnatal viral injections for temporal manipulation
Lineage tracing experiments
Fate mapping of LGALS8-expressing progenitors
Analysis of progeny distribution and differentiation
Normalization strategies should account for regional cellular heterogeneity:
Use multiple reference genes that show stable expression across brain regions
Consider cell type-specific normalization factors based on regional cellular composition
Employ absolute quantification methods when comparing highly divergent regions
Report both absolute and relative expression values when possible
For LGALS8 specifically, researchers should be aware that its expression varies significantly across brain regions and cell types, with particularly notable expression in the Purkinje cell layer of the cerebellum and moderate expression in the substantia nigra .
Based on the galectin-TF co-expression analyses reported in the literature :
Correlation analyses
Pearson or Spearman correlation coefficients for expression intensity correlations
Weighted gene co-expression network analysis (WGCNA) for identifying modules
Spatial statistics
Moran's I or Geary's C for spatial autocorrelation analysis
Ripley's K function for point pattern analysis of co-expressing cells
Multivariate approaches
Principal component analysis to identify main sources of variation
Multiple regression models incorporating spatial coordinates
Validation strategies
Bootstrap resampling to assess stability of co-expression relationships
Cross-validation across multiple brain samples
Integrative analytical approaches should include:
Gene ontology enrichment analysis of co-expressed genes
Pathway analysis incorporating LGALS8 and its binding partners
Integration with behavioral phenotyping data from LGALS8 mutant mice
Correlation of region-specific expression levels with region-specific functions
The research indicates that LGALS8 shows co-expression with transcription factors like SOX2 and FOXP3, suggesting potential functional relevance in processes regulated by these factors .
The available data suggests that LGALS8 shows the most preserved expression pattern across mouse and human brain compared to other galectins . Researchers investigating evolutionary conservation should:
Compare sequence homology of mouse and human LGALS8
Analyze conservation of protein domains, particularly carbohydrate recognition domains
Examine expression patterns in homologous brain structures
Identify species-specific binding partners
Notable differences exist in limbic regions and substantia nigra, where LGALS8 shows higher expression in human compared to mouse brain . This suggests potential species-specific functions in these regions that may relate to higher cognitive functions and motor control.
Researchers can employ these methodological approaches:
Cross-species binding assays
Compare glycan binding profiles between mouse and human LGALS8
Identify species-specific binding partners
Humanized mouse models
Replace mouse LGALS8 with human variant
Assess phenotypic consequences
Comparative transcriptomics
Single-cell RNA sequencing of homologous regions across species
Analysis of co-expression networks
Evolutionary rate analysis
Calculate dN/dS ratios for detection of selection signatures
Identify rapidly evolving domains
The search results indicate complex relationships between LGALS8 and other galectins in mouse brain . To investigate these relationships, researchers should:
Perform comprehensive co-expression analyses of all galectin family members
Conduct functional compensation studies using multiple galectin knockouts
Identify unique vs. overlapping binding partners between galectins
Analyze evolutionary patterns of galectin gene duplication and specialization
LGALS8 shows unique expression patterns in the Purkinje cell layer compared to other galectins, suggesting specialized functions in cerebellar circuits . Its expression in the substantia nigra, alongside LGALS9 but with different cellular density, indicates potential complementary roles in motor control .
Galectin-8, also known as Gal-8, is a member of the galectin family, which are beta-galactoside-binding animal lectins with conserved carbohydrate recognition domains (CRDs). Galectin-8 is a tandem-repeat type galectin, containing two CRDs connected by a linker peptide . This protein is expressed in various tissues and has been implicated in numerous biological processes, including cell adhesion, migration, and angiogenesis .
Galectin-8 was initially cloned from a rat liver cDNA library and is composed of 316 amino acids, with a molecular weight of approximately 35 kDa . The N- and C-terminal domains of Galectin-8 share 35% homology and contain sequence motifs conserved among most CRDs of galectins . The mouse recombinant version of Galectin-8 is expressed in Escherichia coli and has a purity of over 90%, making it suitable for various applications such as SDS-PAGE and mass spectrometry .
Galectin-8 plays a crucial role in various biological processes. It is involved in the regulation of vascular and lymphatic angiogenesis, which is the formation of new blood and lymphatic vessels . This protein has been shown to control capillary-tube formation, endothelial cell (EC) migration, and in vivo angiogenesis . Additionally, Galectin-8 interacts with specific ligands such as podoplanin in lymphatic vessels and CD166 (ALCAM) in vascular ECs .
Galectin-8 has significant implications in tumor biology. It is expressed in both normal and tumor-associated blood vessels, as well as in lymphatic endothelial cells . The protein’s role in tumor angiogenesis and metastasis is of particular interest, as modulating Galectin-8-glycan interactions could potentially block lymphatic-vascular connections vital for metastasis . Furthermore, Galectin-8 has been shown to restrict the proliferation of infecting pathogens by targeting them for autophagy, making it a potential therapeutic target for infectious diseases .