HRASLS3, also known as adipose-specific phospholipase or AdPLA, is a member of the HRAS-like suppressor (HRASLS) family of enzymes. These enzymes belong to a subfamily of papain-like or NlpC/P60 thiol proteases, which are conserved across various domains of life, including bacteria, viruses, archaea, and eukaryotes . HRASLS3 is particularly noted for its role in regulating lipolysis in white adipose tissue and its involvement in tumor suppression mechanisms .
HRASLS3 exhibits phospholipase activity, specifically catalyzing the release of fatty acids from phospholipids. This activity is crucial for generating arachidonic acid, a precursor for eicosanoids such as prostaglandin E2 (PGE2), which plays a significant role in adipocyte metabolism . The enzyme's active site contains a catalytic triad composed of cysteine (Cys 113), histidine (His 23), and another histidine (His 35), facilitating the deacylation of phospholipids .
Enzyme Characteristics | Description |
---|---|
Catalytic Triad | Cys 113, His 23, His 35 |
Substrate | Phospholipids |
Products | Fatty acids, lysophospholipids |
Tissue Expression | Predominantly in white and brown adipose tissue |
HRASLS3 is highly expressed in adipose tissue and plays a pivotal role in regulating lipolysis. It is responsible for approximately 80% of adipocyte phospholipase activity, contributing significantly to the generation of arachidonic acid and subsequent synthesis of PGE2 . The absence of HRASLS3 leads to increased lipolysis due to reduced PGE2 levels, which normally inhibit lipolysis through the Gαi-coupled EP3 receptor .
Biological Functions | Description |
---|---|
Lipolysis Regulation | Modulates PGE2 levels to control lipolysis in adipocytes |
Tumor Suppression | Inhibits oncogenic H-ras signaling and peroxisomal biogenesis |
Adipogenesis | Contributes to adipocyte differentiation through PPARγ signaling |
HRASLS3 expression is significantly induced during adipocyte differentiation and is a target gene of the peroxisome proliferator-activated receptor gamma (PPARγ) . Activation of PPARγ leads to increased HRASLS3 expression in white adipose tissue, suggesting its role as a downstream effector in PPARγ-mediated adipogenesis .
Regulation and Expression | Description |
---|---|
PPARγ Target Gene | Induced during adipocyte differentiation |
Tissue Expression | High in white and brown adipose tissue |
Regulation by PPARγ | Increased expression upon PPARγ activation |
Studies have shown that HRASLS3 plays a critical role in fat cell biology, influencing both lipolysis and adipogenesis. Its phospholipase activity is essential for its anti-RAS effects and tumor suppression functions . The enzyme's role in regulating PGE2 levels makes it a potential target for obesity treatment strategies .
PMC4624172: The HRASLS (PLA/AT) subfamily of enzymes.
PMC2582369: HRASLS3 is a PPARγ-selective target gene that promotes adipocyte differentiation.
RCSB PDB: Crystal structure of human HRASLS3.
ProSpec: HRASLS3 Enzyme Human Recombinant.
UniProt: HRASLS3 entry.
RCSB PDB: Crystal structure of HRASLS3-LRAT chimeric protein.
HRASLS3, a tumor suppressor, plays a role in cell death and belongs to the class II tumor suppressor gene family. It is involved in regulating cell differentiation and survival. HRASLS3 protein is found in various human tumors, such as ovarian and lung carcinomas.
HRASLS3 (HRAS-like suppressor 3) is a gene that encodes a protein involved in cellular growth regulation and differentiation. Based on experimental evidence, HRASLS3 functions as a downstream mediator of PPARγ signaling, particularly in adipocyte differentiation . The protein demonstrates antiproliferative properties and may antagonize Ras signaling pathways, suggesting roles in terminal differentiation of cells and potentially tumor suppression .
To characterize HRASLS3 function in human cells, researchers should employ:
Expression analysis across different tissues and cell types
Loss-of-function studies using siRNA or CRISPR-Cas9 gene editing
Gain-of-function studies with overexpression systems
Comparative analysis between mouse models (which show high adipose tissue expression) and human systems
HRASLS3 expression is primarily regulated by PPARγ through direct binding to a PPAR response element (PPRE) in the HRASLS3 promoter region . In mouse studies, electrophoretic mobility shift assays confirmed that PPARγ and RXRα bind as a heterodimer to a site approximately 6 kb upstream of the HRASLS3 transcriptional start site . Furthermore, transfection assays verified that this binding drives transcription in a ligand-dependent manner .
Methodological approaches to study human HRASLS3 transcriptional regulation include:
Chromatin immunoprecipitation (ChIP) to confirm PPARγ binding to the human HRASLS3 promoter
Reporter gene assays with the human HRASLS3 promoter to identify regulatory elements
Treatment of human adipocyte models with PPARγ agonists and antagonists to observe effects on HRASLS3 expression
Analysis of promoter methylation status and histone modifications
For studying human HRASLS3 function, researchers should consider these experimental models:
Human cell models:
Primary human preadipocytes isolated from subcutaneous or visceral adipose tissue
SGBS (Simpson-Golabi-Behmel Syndrome) human preadipocyte cell line
Human adipose-derived stem cells (hASCs)
HEK293T cells for initial molecular characterization studies
Genetic manipulation approaches:
Translational approaches:
Adipose tissue samples from patients with different metabolic profiles
Correlation studies between HRASLS3 expression and clinical parameters
Ex vivo culture of human adipose tissue explants
When comparing with animal models, researchers should note that while mouse studies show adipose-specific upregulation of HRASLS3 , expression patterns and regulatory mechanisms may differ in humans and require independent verification.
The molecular mechanisms by which HRASLS3 contributes to adipocyte differentiation are still being elucidated, but research suggests several potential pathways:
Ras signaling modulation: HRASLS3 has been linked to Ras signaling, and several reports indicate an antagonistic role for Ras in adipocyte differentiation . Specifically, Ras-induced activation of MAPK signaling impairs adipogenesis in cell models . HRASLS3 may promote adipogenesis by inhibiting this Ras-MAPK pathway.
Cell cycle regulation: HRASLS3 demonstrates antiproliferative properties that might contribute to the cell cycle arrest necessary for terminal differentiation of preadipocytes .
Experimental approaches to investigate these mechanisms include:
Phosphoproteomic analysis before and after HRASLS3 manipulation
Co-immunoprecipitation to identify protein interaction partners
RNA-seq to identify transcriptional networks regulated by HRASLS3
Pathway inhibition studies to test specific signaling mechanisms
Time-course analysis during differentiation to determine when HRASLS3 exerts its effects
While specific post-translational modifications (PTMs) of HRASLS3 have not been extensively characterized in the literature, understanding these modifications is critical for elucidating its functional regulation.
Methodological approaches to investigate HRASLS3 PTMs:
Mass spectrometry analysis:
Immunoprecipitate HRASLS3 from differentiating adipocytes at various timepoints
Perform LC-MS/MS to identify phosphorylation, ubiquitination, acetylation, or other modifications
Compare PTM profiles between basal and PPARγ ligand-stimulated conditions
Site-directed mutagenesis studies:
Generate mutants of predicted modification sites
Test their functional capacity in adipogenic assays
Assess protein stability, localization, and interaction patterns
PTM-specific antibodies:
Develop antibodies against predicted modified forms of HRASLS3
Monitor changes in specific modifications during differentiation
Correlate modifications with functional outcomes
Enzyme identification:
Screen kinase, phosphatase, or other enzyme inhibitors for effects on HRASLS3 function
Use proximity labeling approaches to identify modifying enzymes
Perform co-immunoprecipitation studies to confirm enzyme interactions
The relationship between HRASLS3 and PPARγ signaling in various human metabolic states represents an important area for investigation. Based on animal studies showing HRASLS3 as a PPARγ target gene , several research approaches can be employed:
Clinical sample analysis:
Compare HRASLS3 expression in adipose tissue from insulin-sensitive versus insulin-resistant subjects
Measure expression before and after thiazolidinedione (TZD) treatment in diabetic patients
Correlate HRASLS3 levels with markers of adipose tissue function
Genetic association studies:
Identify HRASLS3 polymorphisms in human populations
Assess their association with metabolic traits and PPARγ-related phenotypes
Perform functional characterization of variants with significant associations
Mechanistic studies in human adipocytes:
Create dose-response curves for PPARγ ligands and HRASLS3 expression
Measure the temporal relationship between PPARγ activation and HRASLS3 induction
Compare HRASLS3 regulation across different adipose tissue depots
Based on experimental approaches described in the literature, several methods can be adapted for manipulating HRASLS3 expression in human cells:
For knockdown/silencing:
siRNA approach (as validated in the referenced study) :
Design multiple siRNA sequences targeting different regions of human HRASLS3 mRNA
Include appropriate controls (non-targeting siRNA, mutated siRNA)
Transfect using optimized lipid-based reagents for the specific cell type
Validate knockdown efficiency by qPCR and Western blot
Optimal for short-term experiments (3-5 days)
shRNA stable expression:
Clone effective siRNA sequences into lentiviral vectors
Generate stable cell lines through antibiotic selection
Verify sustained knockdown over multiple passages
Suitable for long-term differentiation studies (14+ days)
For overexpression:
Based on experimental approaches described in the literature, several complementary assays should be employed:
Morphological and lipid accumulation assessment:
Molecular markers of differentiation:
Functional assays:
Glucose uptake measurements to assess insulin sensitivity
Lipolysis assays in response to adrenergic stimulation
Adipokine secretion profiling (ELISA, multiplex assays)
Cell cycle analysis:
Experimental design should include:
Multiple timepoints (early, middle, and late differentiation)
Both gain-of-function and loss-of-function approaches
Appropriate positive controls (e.g., PPARγ manipulation)
Comparison between different adipose depots when using primary cells
To comprehensively identify and validate HRASLS3 protein interaction partners, researchers should employ multiple complementary approaches:
Affinity purification-mass spectrometry (AP-MS):
Express epitope-tagged HRASLS3 in relevant cell types
Perform immunoprecipitation under various conditions (basal, during differentiation, after PPARγ activation)
Identify co-purifying proteins by mass spectrometry
Filter against appropriate controls to remove non-specific interactions
Proximity labeling approaches:
Generate BioID or TurboID fusion with HRASLS3
Express in adipocyte models and activate labeling at different differentiation stages
Purify biotinylated proteins and identify by mass spectrometry
Provides information about transient or weak interactions in the native cellular context
Co-immunoprecipitation validation:
Perform reciprocal co-IPs for top candidate interactors
Test interactions under different conditions (ligand treatment, differentiation stages)
Include appropriate controls (IgG control, HRASLS3 knockdown cells)
Domain mapping:
Generate truncation or point mutants of HRASLS3
Identify domains required for specific protein interactions
Correlate interaction defects with functional outcomes in adipogenesis assays
Functional validation:
Knockdown or overexpress identified interaction partners
Assess effects on HRASLS3-mediated adipogenesis
Test for colocalization using immunofluorescence or proximity ligation assays
Based on HRASLS3's role in adipocyte differentiation and its regulation by PPARγ , several potential implications for human metabolic diseases can be proposed:
Obesity and adipose tissue dysfunction:
As HRASLS3 promotes adipocyte differentiation, alterations might affect adipose tissue expandability
Dysregulation could contribute to ectopic lipid deposition and metabolic complications
Expression changes might correlate with adipose tissue inflammation status
Type 2 diabetes and insulin resistance:
HRASLS3 may mediate some insulin-sensitizing effects of PPARγ activation
Altered HRASLS3 function could contribute to adipose insulin resistance
TZD responsiveness might correlate with HRASLS3 expression or regulation
Adipose tissue distribution disorders:
Depot-specific HRASLS3 expression might influence regional adipose tissue development
Potential role in sex-specific fat distribution patterns
Possible involvement in lipodystrophic syndromes
Research approaches to investigate these roles:
Case-control studies comparing HRASLS3 expression in metabolically healthy vs. unhealthy obesity
Genetic association studies examining HRASLS3 variants in large cohorts
Correlation of adipose HRASLS3 expression with metabolic parameters
Analysis of HRASLS3 regulation in response to weight loss interventions
The documented antiproliferative properties of HRASLS3 and its downregulation in various tumors and tumor cell lines suggest potential roles in cancer biology:
Tumor suppressor functions:
HRASLS3 may inhibit cell proliferation pathways relevant to cancer development
Its role in promoting terminal differentiation could counteract dedifferentiation in malignancy
Antagonism of oncogenic Ras signaling might suppress transformation
Research approaches to investigate cancer relevance:
Analysis of HRASLS3 expression, mutation, and copy number variation across cancer databases
Correlation of expression levels with patient outcomes and treatment responses
Functional studies in human cancer cell lines with manipulated HRASLS3 expression
Investigation of HRASLS3 regulation by oncogenic signaling pathways
Experimental methods for cancer studies:
Colony formation and soft agar assays to assess transformation
Xenograft models to evaluate in vivo tumor growth
Cell cycle and apoptosis analysis in response to HRASLS3 manipulation
Assessment of sensitivity to chemotherapeutic agents
Potential mechanistic interactions:
HRASLS3 effects on MAPK signaling in cancer contexts
Relationship with other known tumor suppressors in the Ras pathway
Impact on cancer cell metabolism and differentiation state
Several significant challenges must be addressed when translating HRASLS3 research from animal models to human applications:
Species-specific differences:
Methodological challenges:
Limited availability of well-characterized human adipose tissue samples
Variability in primary human preadipocyte isolation and culture
Differences in differentiation protocols between mouse and human systems
Need for time-course studies throughout the longer human adipogenesis process
Context-dependent functions:
Human metabolic diseases involve complex genetic and environmental interactions
The relative importance of HRASLS3 in human adipogenesis might differ from mouse models
Human adipose depots have distinct properties not fully mirrored in animal models
Strategic approaches to address translation challenges:
Systematic comparison of HRASLS3 function in mouse and human cell systems
Development of humanized mouse models
Utilization of human induced pluripotent stem cells (iPSCs) differentiated to adipocytes
Integration of human genetic and gene expression data with functional studies
Single-cell analysis to identify cell type-specific roles in human adipose tissue
These approaches will help determine whether findings from mouse HRASLS3 studies translate effectively to human biology and disease mechanisms, ultimately informing the potential therapeutic relevance of targeting this pathway.
Several cutting-edge technologies hold promise for deepening our understanding of HRASLS3 biology:
CRISPR-based functional genomics:
Genome-wide CRISPR screens to identify genetic interactions with HRASLS3
CRISPRa/CRISPRi for precise temporal control of HRASLS3 expression
Base editing for studying effects of specific HRASLS3 variants
CRISPR knock-in approaches for endogenous tagging of HRASLS3
Advanced imaging techniques:
Live-cell imaging of fluorescently tagged HRASLS3 during adipogenesis
Super-resolution microscopy to examine subcellular localization
Label-free imaging technologies to track lipid metabolism in real-time
Correlative light and electron microscopy to link HRASLS3 localization with ultrastructure
Single-cell technologies:
scRNA-seq to identify cell populations dependent on HRASLS3 function
Spatial transcriptomics to map HRASLS3 expression in adipose tissue architecture
CyTOF or spectral flow cytometry for multiparameter protein analysis
Single-cell proteomics to detect low-abundance HRASLS3-related signaling events
Organoid and advanced tissue culture systems:
3D adipose tissue organoids for physiologically relevant testing
Microphysiological systems that incorporate multiple cell types
Bioprinting approaches for creating structured adipose tissue models
Co-culture systems to study adipocyte-immune cell interactions
Multi-omics integration offers powerful approaches to comprehensively understand HRASLS3 function:
Experimental design for multi-omics studies:
Parallel sampling from the same experimental system for different omics analyses
Time-course designs capturing HRASLS3 manipulation effects
Inclusion of both bulk and single-cell approaches
Comparison across different adipose depots and metabolic states
Data types to integrate:
Transcriptomics: RNA-seq to identify gene expression changes
Proteomics: Global and phospho-proteomics to detect signaling changes
Metabolomics: Analysis of lipid species and metabolic intermediates
Epigenomics: ATAC-seq, ChIP-seq for regulatory landscape
Interactomics: Protein-protein interaction networks
Computational integration strategies:
Pathway enrichment and network analysis across multiple data types
Machine learning approaches to identify patterns across datasets
Causal network inference to establish directional relationships
Integration with public databases on adipose tissue biology
Validation approaches:
Targeted experimental validation of key predictions
Perturbation experiments to test inferred regulatory relationships
Development of computational models that predict HRASLS3 function
Based on HRASLS3's role in adipocyte differentiation and potential metabolic implications, several therapeutic targeting strategies could be considered:
Direct HRASLS3 modulation approaches:
Small molecule screening to identify HRASLS3 activity modulators
Stabilization of HRASLS3 protein in contexts where it is downregulated
RNA therapeutics (antisense oligonucleotides, siRNAs) for specific targeting
Targeted protein degradation approaches (PROTACs) if inhibition is desired
Pathway-based interventions:
Targeting upstream regulators of HRASLS3 beyond PPARγ
Modulation of HRASLS3 interaction partners identified through proteomics
Combination approaches with existing PPARγ modulators
Tissue-specific delivery systems to target adipose HRASLS3 signaling
Translation considerations:
Development of biomarkers to identify patients likely to benefit
Consideration of depot-specific effects on different adipose tissues
Assessment of potential off-target effects in non-adipose tissues
Establishment of appropriate therapeutic windows and dosing regimens
Drug development pipeline recommendations:
Initial screening in human adipocyte cell models
Validation in primary human adipocytes from diverse donors
Testing in advanced tissue models (organoids, microphysiological systems)
Careful assessment in preclinical models with humanized adipose tissue
These approaches should be pursued with careful consideration of the complex role of adipose tissue in metabolic health and the potential for both beneficial and adverse effects of manipulating adipocyte differentiation pathways.
HRASLS3 belongs to the class II tumor suppressor gene family and is involved in the regulation of cell differentiation and survival . It is known to participate in interferon-dependent cell death, which is a critical mechanism for controlling tumor growth and progression . The protein is expressed in various human tumors, including ovarian and lung carcinomas .
The exact molecular mechanisms by which HRASLS3 exerts its tumor-suppressive effects are still under investigation. However, it is believed to be involved in the regulation of lipid metabolism due to its phospholipase A2 activity . This activity allows HRASLS3 to hydrolyze phospholipids, which can influence membrane dynamics and signaling pathways critical for cell survival and proliferation .
Given its role in tumor suppression, HRASLS3 is a protein of interest in cancer research. Its expression patterns and functional mechanisms are being studied to develop potential therapeutic strategies for cancers where HRASLS3 is implicated . Additionally, the recombinant form of HRASLS3 is used in various research applications to further understand its biological functions and potential clinical applications .