Recombinant Saccharomyces cerevisiae uncharacterized protein YFL042C is a protein encoded by the gene YFL042C in the yeast Saccharomyces cerevisiae. Despite its designation as a protein of unknown function, YFL042C has been studied in the context of yeast genetics and proteomics. This article aims to provide an overview of what is currently known about YFL042C, including its genetic background, potential functions, and interactions within the cell.
YFL042C is not an essential gene for yeast survival, indicating that its absence does not lead to lethality in Saccharomyces cerevisiae . It has a paralog, YLR072W, which arose from the whole genome duplication event that occurred in the evolutionary history of yeast. This duplication event has provided yeast with genetic redundancy, allowing for functional diversification among paralogous genes.
YFL042C has been identified to interact with a significant number of other proteins within the yeast cell. According to BioGRID, YFL042C has 49 interactors and is involved in 50 interactions . These interactions suggest that YFL042C may play a role in various cellular processes, although its exact function remains unclear.
YFL042C undergoes post-translational modifications (PTMs), with 14 PTM sites identified . PTMs are crucial for regulating protein activity, localization, and interactions. The presence of these modifications on YFL042C suggests that its activity or function might be dynamically regulated within the cell.
Despite extensive research on yeast proteins, YFL042C remains poorly characterized. There is a lack of specific data on its function, localization, or involvement in metabolic pathways. The absence of Gene Ontology (GO) terms for biological processes, molecular functions, or cellular components further highlights the need for additional research to elucidate its role in yeast biology .
While YFL042C itself may not have direct industrial applications due to its uncharacterized nature, understanding its interactions and potential functions could contribute to broader insights into yeast biology. Saccharomyces cerevisiae is widely used in biotechnology for fermentation processes, biofuel production, and as a model organism for studying eukaryotic cell biology . Elucidating the roles of uncharacterized proteins like YFL042C could enhance our ability to engineer yeast strains for specific applications.
BioGRID Database: Provides comprehensive interaction data for YFL042C, including interactors and interactions.
Saccharomyces Genome Database (SGD): Offers detailed genetic information on yeast genes, including YFL042C.
Protein Databases: Various databases like UniProt or NCBI Protein can provide additional information on protein sequences and structures.
Functional Characterization: Experimental approaches such as gene knockout studies or biochemical assays are needed to determine YFL042C's function.
Protein-Protein Interactions: Further analysis of YFL042C's interactome could reveal its role in cellular pathways.
Structural Studies: Determining the three-dimensional structure of YFL042C could provide insights into its potential functions and interactions.
KEGG: sce:YFL042C
STRING: 4932.YFL042C
YFL042C, also known as LAM5 (Lipid transfer protein Anchored at Membrane contact sites 5) or LTC2 (Lipid Transfer at Contact site protein 2), is an uncharacterized protein from Saccharomyces cerevisiae. It is a membrane-anchored lipid-binding protein comprising 674 amino acids with a molecular function associated with lipid transfer at membrane contact sites . The full amino acid sequence begins with MSDVDNWEPVSDNEDSTDSVKQLGPPFEHAS and continues through to LHQLVKLQLVELKL at the C-terminal end . The protein contains multiple regions of interest, including potential membrane-anchoring domains in its C-terminal region. When produced recombinantly, the full-length protein (amino acids 1-674) can be fused with tags such as His-tag to facilitate purification and detection in experimental settings .
E. coli is the predominant expression system used for the recombinant production of YFL042C. The protein can be successfully expressed as a full-length construct (amino acids 1-674) with an N-terminal His-tag fusion . The bacterial expression system offers advantages for protein production including high yield, cost-effectiveness, and established purification protocols. After expression, the recombinant protein is typically available in lyophilized powder form with purity greater than 90% as determined by SDS-PAGE . Alternative expression systems such as yeast (including S. cerevisiae itself) could potentially be used, particularly when post-translational modifications or proper folding might be concerns, though specific protocols for these alternatives are not detailed in the available literature.
Recombinant YFL042C protein requires specific handling protocols to maintain stability and functionality. The lyophilized protein should be stored at -20°C to -80°C upon receipt . For reconstitution, it is recommended to briefly centrifuge the vial prior to opening to ensure all contents are at the bottom. The protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL . For long-term storage, it is advisable to add glycerol to a final concentration of 5-50% (with 50% being the standard recommendation) and to aliquot the solution to avoid repeated freeze-thaw cycles, which can degrade protein quality . Working aliquots can be stored at 4°C for up to one week . The reconstitution buffer typically consists of a Tris/PBS-based solution containing 6% trehalose at pH 8.0 .
The purity of recombinant YFL042C is primarily assessed using SDS-PAGE (sodium dodecyl sulfate-polyacrylamide gel electrophoresis), with commercial preparations typically achieving greater than 90% purity . This analytical technique separates proteins based on molecular weight, allowing researchers to verify both the purity and approximate molecular weight of the recombinant protein. Additional analytical methods that could be employed (though not specifically mentioned in the search results) include western blotting using antibodies against the His-tag or the protein itself, mass spectrometry for precise molecular weight determination, and size exclusion chromatography for assessing aggregation state and homogeneity. For researchers requiring higher purity standards for specific applications, additional purification steps such as ion exchange chromatography or gel filtration may be necessary following the initial immobilized metal affinity chromatography (IMAC) used for His-tagged proteins.
Characterizing uncharacterized proteins like YFL042C requires multi-faceted approaches combining biochemical, genetic, and computational methods. Several effective strategies include:
Protein-Protein Interaction Studies: Employing yeast two-hybrid assays, bimolecular fluorescence complementation (BiFC), co-immunoprecipitation (CoIP), and GST-pulldown techniques to identify binding partners that may suggest functional roles .
Subcellular Localization: Determining where the protein operates within the cell using fluorescent protein tagging or immunofluorescence microscopy, which can provide insights into functional context.
Genetic Manipulation: Creating knockout or knockdown variants in S. cerevisiae to observe resultant phenotypes. Synthetic genetic arrays can also identify genetic interactions that suggest functional pathways.
Expression Pattern Analysis: Using RNA-Seq or other transcriptomic approaches to determine under which conditions YFL042C is expressed, potentially revealing functional contexts .
Computational Prediction: Employing bioinformatic tools to predict domains, structural motifs, and potential functions based on sequence similarity with other characterized proteins.
Biochemical Assays: Developing specific assays to test predicted functions, such as lipid binding and transfer activities, which would be particularly relevant given YFL042C's annotation as a lipid transfer protein .
For comprehensive functional characterization, a combination of these approaches is typically necessary, with experimental design iteratively refined based on preliminary findings.
RNA-Seq provides powerful insights into the expression patterns and regulation of genes like YFL042C. A comprehensive RNA-Seq approach would include:
Experimental Design Considerations:
Sample multiple physiological conditions (nutrient limitation, stress conditions, growth phases)
Include biological replicates (minimum of 3) to ensure statistical validity
Select appropriate sequencing depth (10-30 million reads per sample for S. cerevisiae)
Data Analysis Pipeline:
Quality control and preprocessing of raw sequencing data
Alignment to the S. cerevisiae reference genome
Quantification of YFL042C expression levels
Differential expression analysis across conditions
Co-expression network analysis to identify functionally related genes
Validation Strategies:
RT-qPCR to confirm expression patterns
Reporter gene assays to study promoter activity
ChIP-Seq to identify transcription factors binding to YFL042C regulatory regions
RNA-Seq data can reveal condition-specific expression patterns that suggest functional contexts for YFL042C and identify co-regulated genes that may participate in the same biological processes . Additionally, RNA-Seq can uncover alternative splicing events or non-coding RNAs that might regulate YFL042C expression, though alternative splicing is less common in S. cerevisiae than in higher eukaryotes.
Synthetic biology offers innovative approaches for investigating the function of uncharacterized proteins like YFL042C:
Domain Swapping and Protein Engineering:
Creating chimeric proteins by swapping domains with related characterized proteins
Introducing specific mutations to test hypotheses about functional residues
Engineering protein variants with modified regulatory elements or localization signals
Synthetic Genetic Circuits:
Developing reporter systems linked to YFL042C expression or activity
Creating conditional expression systems to control protein levels
Implementing feedback loops to study regulatory dynamics
Recombinant Population Construction:
CRISPR-Cas9 Applications:
Precise genome editing to introduce tagged versions of YFL042C
Creating regulated expression systems
Implementing CRISPRi for targeted gene repression
Heterologous Expression Systems:
Expressing YFL042C in alternative hosts to study function outside its native context
Using complementation assays in mutant strains to test functional hypotheses
These synthetic biology approaches allow researchers to systematically manipulate YFL042C in ways that can reveal its functional properties and biological significance.
Several protein-protein interaction methods are particularly valuable for studying uncharacterized proteins like YFL042C:
Yeast Two-Hybrid (Y2H) System:
Advantage: Native environment for a yeast protein, high-throughput capability
Implementation: Clone YFL042C as bait in fusion with a DNA-binding domain
Analysis: Screen against a S. cerevisiae genomic library or focused candidate proteins
Consideration: May detect interactions that occur in the nucleus
Bimolecular Fluorescence Complementation (BiFC):
Advantage: Visualizes interactions in their native cellular context
Implementation: Fuse YFL042C and potential interactors with complementary fragments of a fluorescent protein
Analysis: Fluorescence microscopy to detect and localize interactions
Consideration: Provides spatial information about interactions
Co-Immunoprecipitation (CoIP):
Advantage: Detects native complexes under physiological conditions
Implementation: Use antibodies against YFL042C or its tag to pull down interacting partners
Analysis: Mass spectrometry to identify co-precipitated proteins
Consideration: Requires efficient antibodies or well-expressing tagged constructs
Proximity-Dependent Biotin Identification (BioID):
Advantage: Captures transient and weak interactions
Implementation: Fuse YFL042C with a biotin ligase to biotinylate proximal proteins
Analysis: Affinity purification of biotinylated proteins followed by mass spectrometry
Consideration: Maps the protein's "neighborhood" rather than direct interactions
GST-Pulldown Assays:
A comprehensive characterization would employ multiple complementary methods to build confidence in the identified interactions and provide insights into YFL042C's functional network.
Computational approaches provide valuable predictions for uncharacterized proteins like YFL042C through several methodologies:
Sequence-Based Analysis:
Homology detection using PSI-BLAST, HHpred, or HMMER
Domain identification through InterPro, Pfam, or SMART databases
Prediction of transmembrane regions and signal peptides
Assessment of evolutionary conservation patterns
Structural Prediction and Analysis:
Ab initio modeling using Rosetta or AlphaFold2
Template-based modeling when partial homology exists
Identification of potential binding pockets or active sites
Molecular dynamics simulations to understand flexibility and potential interactions
Systems Biology Integration:
Analysis of gene co-expression networks
Examination of genetic interaction profiles
Integration of multiple -omics datasets (transcriptomics, proteomics, metabolomics)
Pathway enrichment analysis for associated genes/proteins
Functional Prediction Algorithms:
Gene Ontology term prediction
Enzyme commission number prediction for potential enzymatic functions
Interaction partner prediction through network analysis
Phenotype prediction based on knockout/mutation data
Comparative Genomics:
Analysis of gene neighborhood conservation
Phylogenetic profiling to identify co-evolving genes
Examination of selective pressure through dN/dS ratios
These computational approaches can provide testable hypotheses about YFL042C's function that guide experimental design and prioritization. Predictions should be validated through experimental approaches discussed in previous sections, as computational methods provide probabilities rather than certainties.
Designing effective knockout/knockdown experiments for YFL042C requires careful planning and consideration of several factors:
Knockout Strategy Selection:
| Method | Advantages | Limitations | Considerations for YFL042C |
|---|---|---|---|
| CRISPR-Cas9 | Precise, efficient | Potential off-targets | Design guide RNAs with minimal off-target effects |
| Homologous Recombination | Well-established in yeast | Labor intensive | Include selectable markers for screening |
| Transposon Mutagenesis | Random insertion library | Less specific | Requires extensive screening |
Conditional Expression Systems:
Tetracycline-regulatable promoters for titratable expression
Auxin-inducible degron system for post-translational control
Temperature-sensitive alleles if complete knockout is lethal
Phenotypic Analysis Plan:
Controls and Validation:
Include wild-type controls processed identically
Complement knockout with wild-type YFL042C to confirm phenotype specificity
Verify knockout at DNA, RNA, and protein levels
Consider double knockouts with related genes to address redundancy
Data Analysis Framework:
Statistical methods appropriate for expected effect sizes
Consideration of growth phase-dependent phenotypes
Plan for unexpected or subtle phenotypes
When designing these experiments, it's critical to consider that YFL042C may have subtle phenotypes or be conditionally essential, requiring examination under specialized conditions relevant to lipid metabolism or membrane contact site functions.
Given YFL042C's annotation as a membrane-anchored lipid-binding protein (LAM5) involved in lipid transfer at membrane contact sites , several specialized methods can be employed to investigate this function:
In Vitro Lipid Binding Assays:
Lipid overlay assays using recombinant YFL042C protein
Liposome flotation assays to assess membrane binding
Isothermal titration calorimetry (ITC) for binding affinity measurement
Surface plasmon resonance (SPR) for kinetic analysis of lipid interactions
Lipid Transfer Activity Assessment:
FRET-based assays using fluorescently labeled lipids
Radiolabeled lipid transfer assays between distinct membrane fractions
Reconstituted systems with artificial membrane compartments
Membrane Contact Site (MCS) Visualization:
Super-resolution microscopy (STED, PALM, STORM) to localize YFL042C at MCSs
Electron microscopy to examine ultrastructural changes in knockout strains
Split-GFP approaches to detect YFL042C proximity to MCS marker proteins
Lipidomic Analysis:
Quantitative lipidomics comparing wild-type and YFL042C knockout strains
Analysis of lipid distribution between organelles using subcellular fractionation
Pulse-chase experiments with labeled lipid precursors to track lipid movement
Genetic Interaction Mapping:
Synthetic genetic arrays (SGA) focusing on genes involved in lipid metabolism
Chemical-genetic profiling using lipid metabolism modulators
Suppressor screens to identify functional relationships
These methodologies can be combined to build a comprehensive understanding of YFL042C's role in lipid transfer, with particular attention to which specific lipid species might be transported and between which membrane compartments this transfer occurs.
When characterizing uncharacterized proteins like YFL042C, researchers often encounter conflicting results that require careful interpretation and resolution strategies:
Systematic Error Assessment:
Evaluate experimental conditions for each conflicting result
Consider differences in strain backgrounds, expression levels, and tags
Assess whether protein localization or function may be affected by experimental manipulations
Examine differences in assay sensitivity or specificity
Biological Context Considerations:
YFL042C may have context-dependent functions that vary with conditions
Consider growth phase, nutrient availability, and stress responses
Evaluate whether post-translational modifications might alter function
Assess whether protein interactors present in one system might be absent in another
Resolution Strategies:
Perform orthogonal experiments using complementary methods
Standardize experimental conditions across different approaches
Use native expression levels where possible to avoid artifacts
Apply quantitative rather than qualitative measurements
Conduct time-course experiments to capture dynamic behaviors
Integrated Data Analysis Framework:
Develop weighted assessment of evidence based on methodology robustness
Apply Bayesian approaches to update hypotheses as new data emerges
Use computational modeling to reconcile seemingly contradictory observations
Consider evolutionary context and conservation patterns
Community Standards:
Follow established guidelines for validation (multiple replicates, statistical analysis)
Consider independent validation in different laboratories
Transparently report all results, including negative or contradictory findings
When facing conflicting results specifically for YFL042C's lipid transfer function, researchers should consider whether the protein might transfer different lipid species under different conditions or whether it might have additional functions beyond lipid transfer.
Validating protein-protein interactions for an uncharacterized protein like YFL042C requires rigorous methodology and multiple lines of evidence:
Multi-Method Validation Approach:
| Method | Strengths | Considerations |
|---|---|---|
| Yeast Two-Hybrid | High-throughput screening | Validate with complementary methods |
| Co-Immunoprecipitation | Detects native complexes | Use appropriate controls for specificity |
| BiFC | Visualizes interactions in situ | Confirm with biochemical methods |
| GST-Pulldown | Direct biochemical validation | Use physiological conditions |
Controls and Specificity Assessment:
Include non-interacting protein pairs as negative controls
Use structure-guided mutagenesis to disrupt specific interaction surfaces
Perform competition assays with unlabeled proteins
Test interaction dependency on relevant cofactors or lipids
Quantitative Interaction Characterization:
Determine binding affinities using methods like SPR or ITC
Assess stoichiometry through analytical ultracentrifugation
Measure interaction kinetics when possible
Evaluate concentration dependence of interactions
Functional Validation:
Demonstrate phenotypic consequences of disrupting the interaction
Show co-localization under physiologically relevant conditions
Establish correlation between interaction and known functions
Perform genetic epistasis analysis between interaction partners
Structural Characterization:
Identify interaction interfaces through techniques like hydrogen-deuterium exchange
Use cross-linking mass spectrometry to map interaction regions
When possible, obtain structural data through X-ray crystallography, cryo-EM, or NMR
Following these validation practices builds confidence in protein interactions identified for YFL042C and provides a foundation for understanding its functional network within the cell.
Investigating YFL042C (LAM5) offers significant potential to advance our understanding of membrane contact sites (MCSs) in several ways:
Molecular Architecture of MCSs:
YFL042C's role as a membrane-anchored lipid transfer protein could reveal mechanisms of tethering between organelles
Structural characterization may uncover novel domains involved in MCS formation
Interaction mapping could identify new proteins involved in MCS establishment and regulation
Lipid Transfer Mechanisms:
Studying YFL042C's lipid binding and transfer activities may reveal fundamental principles of non-vesicular lipid transport
Characterization could establish whether transfer occurs through tunnel-like structures or shuttle mechanisms
Research might determine specificity for particular lipid species and directional preferences
Regulatory Networks:
Investigation of YFL042C regulation may uncover how cells control lipid distribution in response to environmental changes
Studies could reveal how MCS formation and function are coordinated with metabolic state
Research might identify signaling pathways that modulate MCS activity
Evolutionary Conservation:
Comparative studies between YFL042C and related proteins in other organisms could reveal conserved principles of MCS function
Research might identify specialized adaptations in different biological systems
Findings could bridge understanding between yeast models and more complex eukaryotes
Disease Relevance:
Insights from YFL042C may inform understanding of human diseases linked to MCS dysfunction
Findings could be relevant to disorders of lipid metabolism or membrane homeostasis
Research might suggest new therapeutic approaches targeting MCS proteins
Studying this uncharacterized protein has the potential to fill critical knowledge gaps in how organelles communicate and coordinate lipid distribution, with implications extending beyond yeast biology to fundamental eukaryotic cell biology principles.
Several cutting-edge technologies show promise for accelerating the functional characterization of uncharacterized proteins like YFL042C:
Cryo-Electron Tomography:
Enables visualization of protein complexes in their native cellular environment
Could reveal YFL042C's arrangement at membrane contact sites
Provides structural insights without protein isolation or crystallization
Proximity Labeling Proteomics:
Advanced methods like TurboID and APEX2 offer improved spatial and temporal resolution
Can map the protein neighborhood of YFL042C under various conditions
Helps identify weak or transient interactions missed by traditional methods
Single-Molecule Techniques:
Single-molecule FRET to observe conformational changes during lipid binding/transfer
Optical tweezers to measure forces involved in protein-membrane interactions
Super-resolution tracking to follow individual YFL042C molecules in living cells
Mass Spectrometry Innovations:
Crosslinking MS to map interaction interfaces at amino acid resolution
Native MS to determine complex stoichiometry and stability
Targeted proteomics for absolute quantification of low-abundance proteins
Genome Engineering Advances:
CRISPR base editing for precise amino acid substitutions
Multiplexed CRISPR screens to systematically test YFL042C variants
Prime editing for scarless genomic modifications
Artificial Intelligence Applications:
Deep learning for improved structural prediction (beyond AlphaFold)
Network-based function prediction incorporating multi-omics data
Automated hypothesis generation and experimental design optimization
Microfluidics and Lab-on-a-Chip:
High-throughput phenotypic screening of YFL042C variants
Single-cell analysis of heterogeneous responses to YFL042C manipulation
Reconstituted membrane systems for controlled lipid transfer assays
These technologies, particularly when used in combination, have the potential to dramatically accelerate our understanding of YFL042C and similar uncharacterized proteins by providing higher resolution, more physiologically relevant data, and enabling studies that were previously technically infeasible.