RELL2 (Receptor Expressed in Lymphoid Tissues-like 2) is one of three members of the RELT family proteins (RELTfms), along with RELT (TNFRSF19L) and RELL1. While RELT is a member of the Tumor Necrosis Factor Receptor Superfamily (TNFRSF), RELL1 and RELL2 are paralogs that lack the characteristic cysteine-rich domains used to bind TNFSF ligands but share homology with RELT, particularly in their transmembrane and intracellular domains .
The relationship between these three proteins is characterized by:
40% amino acid identity between RELL1 and RELL2
32% amino acid identity between RELT and RELL1
27% amino acid identity between RELT and RELL2
Strongest homology within the transmembrane intracellular domains (ICDs)
All three proteins can physically interact and co-localize with each other at the plasma membrane, with RELL1 and RELL2 potentially functioning as modulators of RELT signaling .
Mouse RELL2 is a 303 amino acid-long type I transmembrane protein with a molecular weight of approximately 32.4 kDa. Unlike RELT, RELL2 has a relatively short extracellular domain (ECD) and lacks the cysteine-rich domains typically found in TNFRSF members .
Key structural features include:
Type I transmembrane orientation
Disordered sequences in the carboxy-terminal tail, suggesting the ability to adopt multiple conformations depending on post-translational modifications or protein interactions
Absence of extracellular cysteine-rich domains typical of TNFRSF members
Plasma membrane localization when co-expressed with other RELTfms
When expressed alone, RELL2 predominantly localizes to the plasma membrane, unlike RELT which tends to localize within cytosolic compartments when expressed independently .
RELL2 displays a tissue-restricted expression pattern compared to RELL1. According to multiple expression analyses:
RELL2 mRNA is predominantly expressed in hematopoietic tissues such as thymus and spleen
High expression is observed in immune-privileged sites including the testes, brain, and placenta
Significant expression is found in various brain regions (cerebral cortex, medulla)
Notable expression in endocrine tissues including parathyroid and pituitary glands
This restricted expression pattern suggests specialized functions in immune-related processes and specific regulatory roles in immune-privileged tissues.
Based on established protocols for similar recombinant proteins, the following methodology is recommended:
Expression System Selection:
Vector Design:
Include a signal peptide for secretion
Add a purification tag (His6, Fc-fusion, or FLAG) at the C-terminus to avoid interference with N-terminal folding
For soluble recombinant RELL2, exclude the transmembrane domain
Purification Protocol:
Quality Control:
SDS-PAGE to verify purity and molecular weight
Western blotting to confirm identity
Functional validation through binding assays with known interaction partners
Validation of recombinant RELL2 activity can be performed through multiple functional assays:
Binding Studies:
Co-immunoprecipitation (co-IP) with RELT and RELL1 to confirm protein-protein interactions
Surface plasmon resonance to quantify binding affinity with partners
Cell-Based Functional Assays:
Intracellular Signaling:
Reporter gene assays for downstream pathways (NF-κB, MAPK)
Phosphorylation analysis of known downstream targets
Comparative Controls:
Include other RELTfm proteins as controls
Use targeted mutations in functional domains to validate specific activities
A typical validation protocol would include both binding verification and at least one functional assay to ensure bioactivity.
The following experimental models have proven valuable for studying RELL2 function:
Mouse Models:
Conditional knockout systems targeting RELL2 expression in specific tissues
Transgenic overexpression models to study gain-of-function effects
Xenograft models using RELL2-manipulated cancer cells to study oncogenic roles
Cell Line Models:
Cancer cell lines with differential RELL2 expression (e.g., pancreatic cancer lines)
Immune cell lines to study immunomodulatory functions
Cell lines derived from tissues with high endogenous RELL2 expression (lymphocytes, brain-derived cells)
Ex Vivo Systems:
Primary lymphocyte cultures from mouse lymphoid tissues
Organoid cultures from tissues with high RELL2 expression
Experimental Design Considerations:
Include appropriate controls (wildtype littermates, scrambled siRNA)
Validate knockdown/overexpression efficiency
Consider compensatory effects from other RELTfm family members
When selecting a model, researchers should consider the specific aspect of RELL2 biology they aim to study, as different models may be optimal for investigating cancer progression versus immune regulation.
Analysis of RELL2 expression across 33 cancer types from the TCGA database reveals complex and context-dependent associations with patient outcomes:
Cancers where high RELL2 expression predicts poor survival:
Adrenocortical carcinoma (ACC)
Cervical squamous cell carcinoma (CESC)
Glioblastoma multiforme (GBM)
Kidney chromophobe (KICH)
Kidney renal clear cell carcinoma (KIRC)
Pheochromocytoma and paraganglioma (PCPG)
Thyroid carcinoma (THCA)
Cancers where high RELL2 expression predicts better survival:
The relationship between RELL2 expression and various survival metrics varies by cancer type:
These findings suggest RELL2 may function as either a tumor suppressor or oncogene depending on the cancer context, highlighting the need for cancer-specific investigation.
Several molecular mechanisms have been identified that explain RELL2's involvement in cancer progression:
Regulation of Apoptosis:
Alternative Splicing and Intron Retention:
Immune Microenvironment Modulation:
RELL2 expression correlates with immune and stromal scores in multiple cancer types
Significant correlation between RELL2 expression and various immune checkpoint genes
Positive correlation with immune neoantigens in cervical squamous cell carcinoma (CESC), kidney renal papillary cell carcinoma (KIRP), and skin cutaneous melanoma (SKCM)
Association with DNA Repair Mechanisms:
Enriched Signaling Pathways:
The context-dependent function of RELL2 across different cancers suggests tissue-specific regulatory mechanisms and interaction networks.
Intron retention in RELL2 represents a critical regulatory mechanism with direct implications for cancer progression:
Mechanism of Intron 4 Retention:
Consequences of Intron Retention:
Experimental Evidence:
Clinical Implications:
This regulatory mechanism highlights the importance of alternative splicing in modulating RELL2 function in cancer contexts and offers potential diagnostic and therapeutic applications.
RELL2's role in immune regulation can be understood through several key mechanisms:
Expression in Immune Tissues:
Correlation with Immune Cell Infiltration:
Association with Immune Checkpoint Regulation:
Interaction with the RELT Signaling Pathway:
Correlation with Immune Neoantigens:
These findings suggest RELL2 may play a multifaceted role in immune regulation, potentially influencing both immune activation and suppression depending on the cellular context.
To investigate RELL2's interactions with immune checkpoints, researchers can employ the following methodological approaches:
Co-expression and Correlation Analysis:
Protein-Protein Interaction Studies:
Co-immunoprecipitation (Co-IP) to detect physical interactions between RELL2 and immune checkpoint proteins
Proximity ligation assay (PLA) to visualize interactions in situ
FRET or BRET assays to confirm direct interactions in living cells
Yeast two-hybrid screening to identify novel interaction partners
Functional Impact Analysis:
CRISPR-Cas9 knockout or siRNA knockdown of RELL2 in immune cells
Flow cytometry to measure changes in immune checkpoint expression
T cell activation assays (measuring IL-2 production, proliferation)
Mixed lymphocyte reactions to assess T cell responses
Checkpoint blockade efficacy testing in RELL2-manipulated models
In Vivo Immune Response Assessment:
Mouse models with conditional RELL2 knockout in specific immune cell populations
Tumor challenge studies with immune checkpoint blockade therapies
Immune infiltration analysis by flow cytometry or mass cytometry
Cytokine profiling in tumor microenvironment
Adoptive transfer experiments with RELL2-modified immune cells
Signaling Pathway Analysis:
Phospho-flow cytometry to assess activation of immune signaling pathways
Western blotting for key signaling nodes (NF-κB, MAPK pathways)
Reporter assays for transcription factor activation
Transcriptomic analysis after RELL2 manipulation in immune cells
These approaches should be combined to build a comprehensive understanding of RELL2's role in immune checkpoint regulation.
RELL2 expression demonstrates cancer type-specific correlations with the immune microenvironment:
Correlation with Immune and Stromal Scores:
The ESTIMATE algorithm revealed significant correlations between RELL2 expression and immune/stromal components across cancer types:
Correlation with Specific Immune Components:
| Cancer Type | Macrophages | Dendritic Cells | Neutrophils | B Cells | CD8+ T Cells | CD4+ T Cells |
|---|---|---|---|---|---|---|
| KICH | Positive | Positive | Positive | Positive | Positive | Positive |
| KIRC | Positive | Positive | Positive | Positive | Positive | Positive |
| THYM | Positive | Positive | Positive | Positive | Positive | Positive |
| LUSC | Negative | Negative | Negative | Negative | Negative | Negative |
| BRCA | Negative | Negative | Negative | Negative | Negative | Negative |
These differential correlations suggest RELL2 may exert cancer type-specific effects on the immune microenvironment, potentially contributing to its contrasting roles in patient outcomes across different cancer types .
Structural characterization of RELL2 provides critical insights for developing targeted research tools:
Structural Domains and Their Functions:
Epitope Mapping for Antibody Development:
Target unique extracellular epitopes to distinguish from RELL1 and RELT
Design antibodies against predicted surface-exposed regions
Avoid disordered regions that may present conformational variability
Consider species conservation for cross-reactive antibodies
Structural Considerations for Recombinant Protein Design:
Include critical domains for proper folding and stability
Preserve regions necessary for interaction with RELT and RELL1
Strategic tag placement to avoid interference with functional domains
Consider soluble variants lacking the transmembrane domain
Structure-Based Small Molecule Development:
Identify potential binding pockets for small molecule modulators
Focus on regions involved in protein-protein interactions
Target domains involved in signaling pathway activation
Develop compounds that specifically modulate RELL2 versus other RELTfms
CRISPR-Based Tools:
Design guide RNAs targeting conserved exons
Consider targeting regions that would not affect RELL1 expression
Develop CRISPR activation or inhibition systems targeting RELL2 promoter regions
Create domain-specific knockout strategies
Understanding RELL2's structural properties enables the development of more specific and effective research tools to investigate its unique functions distinct from other RELTfm family members.
Researchers face several technical challenges when studying RELL2 function:
Functional Redundancy with Other RELTfms:
Challenge: RELL1 and RELL2 share 40% amino acid identity and may have overlapping functions
Solution:
Use double knockdown/knockout approaches
Develop specific inhibitors that distinguish between family members
Employ domain-swapping experiments to identify unique functional regions
Lack of Identified Ligands or Binding Partners:
Challenge: Unlike RELT, specific ligands for RELL2 remain unidentified
Solution:
Perform unbiased protein-protein interaction screens
Use proximity labeling approaches (BioID, APEX)
Conduct systematic screening with recombinant protein libraries
Context-Dependent Functions:
Challenge: RELL2 appears to have opposing roles in different cancer types
Solution:
Use tissue-specific conditional knockout models
Study RELL2 in relevant tissue microenvironments
Identify tissue-specific binding partners
Complex Alternative Splicing Regulation:
Challenge: Intron retention and alternative splicing complicate functional analysis
Solution:
Design isoform-specific detection methods
Use minigene constructs to study splicing regulation
Develop tools to specifically target individual RELL2 isoforms
Low Endogenous Expression Levels:
Challenge: RELL2 has restricted tissue expression, making detection difficult
Solution:
Use highly sensitive detection methods (digital PCR, RNAscope)
Focus on tissues with known high expression
Develop knock-in reporter systems for in vivo visualization
Post-Translational Modifications:
Challenge: RELL2 likely undergoes significant post-translational modifications
Solution:
Use mass spectrometry to map modifications
Generate modification-specific antibodies
Create mutants to assess functional impacts of modifications
Addressing these challenges requires integrated approaches combining advanced molecular biology techniques with appropriate model systems that recapitulate the physiological context of RELL2 function.
RELL2 research opens several promising avenues for therapeutic development:
Cancer-Specific Therapeutic Approaches:
Pancreatic Cancer: Enhancing RELL2 expression or function could improve chemosensitivity and promote apoptosis
Kidney Cancers: Inhibiting RELL2 may improve outcomes in KICH and KIRC where high expression correlates with poor prognosis
Targeting RELL2 Splicing: Modulating DHX38 activity to control RELL2 intron retention in chemoresistant cancers
Immune Checkpoint Modulation:
Biomarker Development:
Targeting Protein-Protein Interactions:
Novel Delivery Strategies:
Exosome-based delivery of RELL2 mRNA or protein to tumor cells
Nanoparticle-mediated delivery of RELL2-targeting agents
Cell-based therapies using engineered cells with modified RELL2 expression
Combination Therapeutic Approaches:
The development of these therapeutic strategies requires further mechanistic understanding of RELL2's context-dependent functions and careful consideration of potential off-target effects given its role in normal tissues.
While RELL2 and RuvBL2 are distinct proteins with different primary functions, emerging research suggests potential parallel or complementary roles in cellular homeostasis:
RuvBL2 Functions in Protein Homeostasis:
RuvBL2 is involved in the control of protein aggregation
Assists in compartmentalization of misfolded proteins into the aggresome
Participates in the disaggregation of large insoluble aggregates
Loss of RuvBL2 prevents proper aggresome formation and accelerates aggregate accumulation
RELL2 Functions in Cellular Homeostasis:
Overexpression of RELL2 induces apoptosis via MAPK14/p38 cascade activation
May regulate cellular survival/death decisions in response to stress
Functions in a network with RELT family proteins to modulate signaling responses
Comparative Analysis:
| Feature | RuvBL2 | RELL2 |
|---|---|---|
| Cellular Localization | Primarily nuclear, also cytoplasmic | Transmembrane, plasma membrane |
| Primary Function | ATP-dependent DNA helicase, chaperone | Signaling modulator, apoptosis regulation |
| Role in Disease | Protective against toxic protein accumulation | Context-dependent roles in cancer progression |
| Stress Response | Protects against proteotoxic stress | Activates stress-response signaling pathways |
| Interaction Partners | NS1 protein of influenza virus, misfolded proteins | RELT, RELL1, immune checkpoint proteins |
Potential Research Directions:
Investigate whether RELL2 influences protein aggregation or clearance pathways
Examine if RuvBL2 and RELL2 converge on common stress response pathways
Study their potential coordinated roles in cellular responses to proteotoxic stress
Explore whether viral proteins interact with both proteins to modulate host responses
While these proteins have distinct primary functions, understanding their potential functional convergence in stress response pathways could reveal novel regulatory mechanisms governing cellular homeostasis.
Cutting-edge approaches for investigating RELL2's alternative splicing regulation include:
Long-Read Sequencing Technologies:
Oxford Nanopore or PacBio sequencing to capture full-length transcripts
Direct RNA sequencing to avoid PCR biases and capture native modifications
Detection of complex splicing patterns and rare isoforms
CRISPR-Based Splicing Modulators:
Single-Cell Splicing Analysis:
Single-cell RNA-seq with specialized computational pipelines for splicing detection
SMART-seq protocols to improve full-length transcript coverage
Spatial transcriptomics to map splicing patterns within tissue contexts
In Vivo Splicing Reporters:
Bichromatic fluorescent reporters spanning RELL2 intron 4
FRET-based splicing sensors
Inducible splicing reporter mouse models
Direct Visualization of Splicing:
MS2/MS2CP systems to track nascent transcripts
SNAP-tag labeling of splicing factors
Live-cell imaging of splicing dynamics
Structural Analysis of Splicing Complexes:
Cryo-EM of DHX38-RELL2 pre-mRNA complexes
Hydrogen-deuterium exchange mass spectrometry
Cross-linking mass spectrometry to map interaction surfaces
High-Throughput Splicing Modifier Screens:
CRISPR screens targeting splicing regulators
Small molecule libraries to identify modulators of RELL2 splicing
Antisense oligonucleotide screens to modulate specific splice events
These emerging technologies enable more comprehensive investigation of the complex splicing regulation of RELL2, particularly the clinically relevant retention of intron 4 that impacts cancer progression and chemoresistance .
Evolutionary analysis of RELL2 can provide valuable insights into its functional significance:
Conservation Across Species:
Identification of highly conserved domains suggests functional importance
Examination of RELL2 orthologs across mammals, vertebrates, and other taxa
Analysis of selection pressures on different protein domains
Evolutionary Relationship with RELT Family:
Understanding the evolutionary origin of the RELT family
Determining when RELL1 and RELL2 diverged from RELT
Comparing functions of RELT family proteins across species
Species-Specific Adaptations:
Identification of species-specific variations that might reflect adaptive functions
Investigation of lineage-specific expansions or losses
Correlation of RELL2 sequence variations with species-specific immune adaptations
Evolutionary Constraints on Alternative Splicing:
Coevolution with Interaction Partners:
Identification of coevolving protein families
Detection of correlated mutations suggesting functional interactions
Analysis of coevolution with immune system components across species
Methodological Approaches:
Phylogenetic analysis of RELL2 sequences across species
Synteny analysis to examine genomic context conservation
Molecular clock analyses to date gene duplication events
Positive selection analysis to identify adaptively evolving sites
Ancestral sequence reconstruction to infer functional shifts