LRRC59 regulates critical cellular processes:
TLR Trafficking: Mediates ER-to-endosome transport of nucleic acid-sensing Toll-like receptors (TLR3, 7, 8, 9) via UNC93B1 interaction, enhancing antiviral responses .
Mechanism: Associates with COPII vesicles under ligand stimulation (e.g., poly(I:C)), promoting TLR3 colocalization with endosomal markers .
Oncogenic Role: Overexpression correlates with epithelial-mesenchymal transition (EMT), reduced E-cadherin, and increased Snail/vimentin in bladder cancer (BC) .
Cell Proliferation: Silencing LRRC59 inhibits BC cell migration and proliferation by inducing G1-phase arrest .
LRRC59 is a prognostic biomarker in multiple cancers:
Hypomethylation of the LRRC59 promoter is linked to aggressive tumor behavior .
Recombinant human LRRC59 (e.g., PRO-1714, ab171695) is widely used for in vitro studies:
| Parameter | Specification |
|---|---|
| Source | E. coli expression system |
| Purity | >90% via SDS-PAGE |
| Storage | -20°C in 50% glycerol; avoid freeze-thaw cycles |
| Applications | Protein interaction studies, TLR trafficking assays |
Therapeutic Targeting: LRRC59’s role in ER stress and ubiquitination pathways suggests potential for small-molecule inhibitors .
Immunotherapy Biomarker: Correlation with immune checkpoint genes (e.g., PD-1, CTLA-4) warrants exploration in combination therapies .
Pan-Cancer Analysis: LRRC59 is upregulated in 15+ malignancies, highlighting its broad relevance .
LRRC59 is a tail-anchored membrane protein consisting of a 244-amino acid cytoplasmic/nucleoplasmic region, a transmembrane domain (TMD) close to the C-terminus, and a 40-amino acid region that resides in the ER lumen. The cytoplasmic domain contains leucine-rich repeats (LRR) and a coiling domain facing the cytoplasm, with the wild-type cytoplasmic portion measuring approximately 27.8 kDa .
Methodologically, LRRC59 localization can be confirmed through subcellular fractionation and imaging techniques. The protein primarily localizes to the endoplasmic reticulum (ER) membrane and the nuclear envelope, showing prominent ER signals and a characteristic rim around the nucleus. Using rapamycin-dependent dimerization assays, researchers have demonstrated that LRRC59 can reach the inner nuclear membrane (INM), similar to established nuclear envelope proteins like emerin .
Multiple methodological approaches are employed to detect and quantify LRRC59:
Immunohistochemistry (IHC): Tissue samples are processed through dewaxing, rehydration, and antigen retrieval before incubation with LRRC59 primary antibody (typically at 1:500 concentration) and subsequent visualization with HRP-labeled secondary antibodies. Positive expression appears as brownish-yellow staining, primarily in the cytoplasm with some nuclear presence .
Quantitative real-time PCR (qRT-PCR): Used to measure LRRC59 mRNA expression across cell lines and tissues, providing relative expression levels.
Western blot: Enables protein-level detection and semi-quantitative analysis of LRRC59 expression in cell and tissue lysates.
Bioinformatic analysis: LRRC59 expression can be analyzed using databases like The Cancer Genome Atlas (TCGA), with techniques such as TPM (Transcripts Per Million) normalization for cross-sample comparisons .
ROC curve analysis: Used to evaluate LRRC59's discriminatory power between cancer and normal tissues, with an area under the curve (AUC) of 0.808 (95% CI = 0.737–0.879) reported for bladder cancer, indicating good diagnostic potential .
LRRC59 was originally identified as a ribosome-binding protein that interacts with fibroblast growth factors. Research indicates it promotes importin α/β-dependent nuclear import of fibroblast growth factor 1 and the cancerous inhibitor of PP2A (CIP2A) .
Its strategic localization at both the ER and nuclear envelope suggests multifunctional roles in protein synthesis, membrane organization, and nuclear transport processes. The protein's ability to reach the inner nuclear membrane indicates potential functions in nuclear architecture or gene regulation .
Methodologically, protein interaction studies using co-immunoprecipitation, proximity ligation assays, and mass spectrometry have helped identify LRRC59's binding partners, though complete protein interaction networks remain to be fully characterized based on the available research data.
LRRC59 exhibits unusual membrane insertion properties that challenge conventional models. Research using purified microsomes demonstrates that LRRC59 can be post-translationally inserted into ER-derived membranes, even with artificial C-terminal extensions .
Surprisingly, the TRC-pathway (Transmembrane Recognition Complex), a major route for post-translational membrane insertion of tail-anchored proteins, is not required for LRRC59 membrane integration. Unlike established tail-anchored proteins such as emerin or Sec61β:
Dominant negative WRB- or CAML-fragments do not inhibit LRRC59 membrane insertion
TRC40-depletion from reticulocyte lysates does not prevent LRRC59 integration
These findings suggest LRRC59 utilizes alternative insertion mechanisms. Under certain conditions, the Signal Recognition Particle (SRP) or Hsc70 proteins could mediate post-translational events, bypassing the requirement for TRC40, WRB, or CAML. Recent research suggests the existence of multiple redundant pathways for membrane protein insertion that LRRC59 might utilize .
LRRC59 targeting to the inner nuclear membrane (INM) follows mechanisms distinct from canonical nuclear import pathways. Unlike soluble nucleoplasmic proteins, LRRC59 does not primarily depend on the importin α/β-mediated transport system .
Experimental approaches using rapamycin-dependent dimerization assays reveal that the cytoplasmic domain size is the critical determinant of INM localization, suggesting a passive diffusion model. This size-dependency manifests in several ways:
Constructs with small cytoplasmic domains (HA-FRB-LRRC59, mCherry-FRB-LRRC59) rapidly reach the INM
Constructs with larger domains (mCherry-FRB-MBP-LRRC59 at 107.5 kDa) show significantly slower INM targeting
Dimerization-promoting tags (GST-tagged LRRC59) dramatically reduce INM targeting
These observations support a model where LRRC59 reaches the INM through peripheral channels of the nuclear pore complex that impose size restrictions on transmembrane protein passage .
LRRC59 has emerged as a significant factor in cancer biology, particularly in bladder cancer. Comprehensive analyses combining transcriptomics, proteomics, and clinical data reveal:
LRRC59 expression shows significant associations with multiple clinicopathological parameters in bladder cancer:
Univariate analysis further identified several factors with significant odds ratios, including:
Histologic grade (OR = 0.046, 95% CI = 0.003–0.333, p = 0.003)
Cancer subtype (OR = 0.508, 95% CI = 0.331–0.774, p = 0.002)
Race (OR = 2.373, 95% CI = 1.377–4.195, p = 0.002)
Primary therapy outcome (OR = 0.516, 95% CI = 0.319–0.828, p = 0.003)
LRRC59's methylation status appears to be clinically significant, with hypomethylation associated with poor prognosis in bladder cancer . Researchers studying this aspect should consider:
Methylation analysis platforms: The UALCAN and MethSurv databases have been successfully employed to analyze LRRC59 methylation patterns. These platforms allow for correlation between methylation status and clinical outcomes.
Integration with expression data: Combined analysis of methylation patterns and expression levels provides deeper insights into regulatory mechanisms. Hypomethylation often correlates with increased expression, but exceptions may exist.
CpG island mapping: Identifying specific CpG islands within the LRRC59 gene locus that correlate most strongly with expression changes and clinical outcomes can provide mechanistic insights.
Cell-type specificity: Methylation patterns may vary across different cell types within tumor tissues, requiring single-cell methodologies or microdissection approaches for precise analysis.
Functional validation: Using demethylating agents (like 5-aza-2'-deoxycytidine) to experimentally manipulate methylation status can help establish causative relationships between methylation, expression, and functional outcomes.
Temporal considerations: Methylation patterns may change during disease progression, necessitating longitudinal sampling approaches.
LRRC59 demonstrates independent prognostic value in bladder cancer, suggesting potential clinical utility . To integrate this biomarker into decision-making frameworks:
The unusual membrane insertion properties of LRRC59 present several experimental challenges and contradictions . To resolve these issues, researchers might consider:
Comparative analyses using domain swapping: Exchanging transmembrane domains and C-terminal regions between LRRC59 and canonical TRC40-dependent tail-anchored proteins (like emerin) to identify critical sequence determinants.
In vitro reconstitution systems: Creating purified component systems with defined membrane compositions to test insertion efficiency under strictly controlled conditions.
Real-time tracking approaches:
Fluorescence pulse-chase experiments to monitor the timing of membrane insertion
Single-molecule tracking to observe individual insertion events
FRAP (Fluorescence Recovery After Photobleaching) to measure membrane integration kinetics
Genetic screening in diverse systems:
CRISPR-based screens to identify novel factors involved in LRRC59 membrane insertion
Synthetic genetic array analysis in yeast models expressing human LRRC59
Structural biology approaches:
Cryo-EM studies of LRRC59 during membrane insertion
Hydrogen-deuterium exchange mass spectrometry to map conformational changes during insertion
Systematic inhibition strategies:
Combinatorial inhibition of multiple membrane insertion pathways simultaneously
Temperature-sensitive mutants of insertion machinery components
Given LRRC59's roles in cancer progression and correlation with immune checkpoint genes, its potential contribution to therapeutic resistance warrants investigation:
Experimental approaches to study LRRC59 in therapy resistance:
Generating therapy-resistant cell lines and analyzing LRRC59 expression changes
CRISPR-mediated LRRC59 knockout or overexpression in cells undergoing treatment
Patient-derived xenograft models comparing treatment responses with LRRC59 status
Potential resistance mechanisms related to LRRC59:
EMT-mediated resistance: LRRC59's connection to Snail, vimentin, and E-cadherin suggests it may promote EMT-driven therapy resistance
Immune evasion: Correlations with immune checkpoint genes indicate potential roles in immunotherapy resistance
Nuclear transport alterations: LRRC59's ability to reach the inner nuclear membrane suggests possible influences on nuclear drug transport or nuclear receptor signaling
Methodological considerations:
Temporal analysis: Monitoring LRRC59 expression changes during treatment and resistance development
Combinatorial targeting: Testing LRRC59 inhibition alongside standard therapies
Biomarker validation: Assessing whether LRRC59 status predicts response to specific therapeutic approaches
Understanding LRRC59's complete protein interaction network requires multi-faceted approaches:
Domain-specific interaction mapping:
Leucine-rich repeat domain interactions
Transmembrane domain associations
C-terminal luminal domain binding partners
Compartment-specific interactome analysis:
ER membrane interactions versus inner nuclear membrane interactions
Proximity labeling approaches (BioID, APEX) to capture transient interactions in specific cellular compartments
Fractionation-based comparative proteomics
Dynamic interaction profiling:
Stimulus-dependent interaction changes (growth factors, stress conditions)
Cell cycle-dependent interaction variations
Differentiation or disease progression-associated alterations
Technical considerations:
Membrane protein-specific pull-down conditions
Crosslinking strategies to capture transient interactions
Label-free quantification versus isotope labeling approaches
Validation through orthogonal methods (co-immunoprecipitation, FRET, PLA)
Network integration:
Combining experimental interaction data with predictive algorithms
Integration with transcriptional networks and signaling pathways
Systems biology modeling of LRRC59-centered networks
This comprehensive approach would help resolve existing contradictions and provide a more complete understanding of LRRC59's functional roles across cellular compartments and disease states.
The LRRC59 gene is located on chromosome 17 and encodes a protein that is approximately 30.3 kDa in size . The protein consists of 267 amino acids, with a 23 amino acid His-tag at the N-terminus, which is used for purification purposes . The LRRC59 protein is a type II transmembrane protein, meaning it spans the membrane with its N-terminus inside the cell and its C-terminus outside .
LRRC59 is involved in several cellular processes, including the regulation of nuclear import of fibroblast growth factor 1 (FGF1). It facilitates the interaction of FGF1 with the nuclear import machinery, aiding in its transport through nuclear pores . Additionally, LRRC59 has been predicted to play a role in positive regulation of Ras protein signal transduction and general signal transduction processes .
The protein is primarily localized in the endoplasmic reticulum and mitochondrial nucleoid . It exhibits cytoplasmic expression of varying intensity across most tissues .