KEGG: ago:AGOS_AER379C
STRING: 33169.AAS53059
AIM37 is a mitochondrial protein in Ashbya gossypii that belongs to a class of proteins identified through computational strategies specifically designed to uncover genes with altered inheritance of mitochondria. It plays a crucial role in mitochondrial structure and function, particularly in the formation and maintenance of mitochondrial contact sites . AIM37 was discovered alongside other AIM proteins during systematic genetic interaction mapping studies focused on mitochondrial function and inheritance patterns in filamentous fungi.
The biological significance of AIM37 extends beyond simple mitochondrial inheritance. This protein physically interacts with several other proteins including Fcj1, Aim5, and Aim13 to form a functional complex involved in maintaining mitochondrial architecture and functional integrity . The disruption of AIM37 can lead to alterations in mitochondrial morphology and function, which subsequently affects cellular metabolism, particularly in a filamentous fungus like A. gossypii that has high energy demands for growth and development.
AIM37 differs from other AIM proteins in several key aspects:
Structural Differences:
Unlike AIM31, which has transmembrane characteristics , AIM37's structure is more consistent with a soluble protein that associates with membrane complexes
While AIM43 contains specific domains like SPQTLEELARLKSLEDVDSSVIRKLINQRTEEVNAQNEAQ , AIM37 has a distinct amino acid sequence that enables its specific interactions with the MICOS complex
Functional Differences:
AIM37 specifically interacts with the Fcj1 protein complex, which distinguishes it from AIM5 and AIM13 that have broader interaction profiles
Unlike other AIM proteins that may have redundant functions, genetic studies suggest AIM37 has unique roles that cannot be compensated by other proteins in the mitochondrial network
Purification studies using tagged proteins have shown that when Aim37-FLAG is purified from mitochondrial extracts, it contains significant peptides/coverage of Fcj1, Aim5, and Aim13, indicating a tight physical interaction within this complex . This interaction pattern is distinct from other AIM proteins and suggests a specialized role in mitochondrial structure maintenance.
Based on current research practices with A. gossypii proteins, the following methods are most effective for expressing recombinant AIM37:
Expression System Selection:
E. coli expression systems are commonly used for recombinant AIM proteins, as demonstrated with AIM31
For functional studies, A. gossypii itself can serve as an expression host using integrative cassettes rather than episomal vectors, which ensures stability in the multinucleated syncytium of A. gossypii
Vector Design Strategy:
Implement a Golden Gate modular cloning system adapted for A. gossypii
Design integrative cassettes containing:
Expression Optimization:
Utilize the Dual Luciferase Reporter (DLR) Assay to optimize promoter selection for AIM37 expression
Consider carbon source-regulatable promoters when temporal control of expression is desired
For highest yields, grow cultures in rich media supplemented with appropriate carbon sources at 30°C
This approach has been validated for other proteins in A. gossypii and can be adapted specifically for AIM37 expression with appropriate modifications to account for protein-specific requirements.
For optimal purification of recombinant AIM37 while preserving its stability and activity, researchers should consider the following protocol:
Initial Cell Disruption:
Harvest A. gossypii cells expressing AIM37 (preferably with a FLAG or His tag)
Isolate crude mitochondria through differential centrifugation
Solubilize mitochondrial membranes using digitonin (1-2%) which preserves protein-protein interactions better than harsher detergents
Affinity Purification:
Apply the solubilized material to an appropriate affinity column:
For His-tagged AIM37: Nickel or cobalt affinity chromatography
For FLAG-tagged AIM37: Anti-FLAG antibody affinity chromatography
Wash with increasing imidazole concentrations (for His-tag) or stringent washing buffers (for FLAG-tag)
Elute with appropriate elution buffer (250-300 mM imidazole for His-tag or FLAG peptide for FLAG-tag)
Storage Recommendations:
Store purified AIM37 in Tris-based buffer containing 50% glycerol
Maintain at -20°C for short-term storage or -80°C for extended storage
Avoid repeated freeze-thaw cycles; instead, prepare working aliquots stored at 4°C for up to one week
Quality Control:
Verify purity by SDS-PAGE and immunoblotting
Confirm identity through mass spectrometry analysis
Assess activity through appropriate functional assays based on protein interaction studies
These protocols have been successfully applied to similar mitochondrial proteins from A. gossypii and should be effective for maintaining AIM37 stability and activity.
AIM37 engages in critical interactions with the MICOS (Mitochondrial Contact Site and Cristae Organizing System) complex through both direct and indirect associations:
Interaction Mechanism:
AIM37 physically interacts with Fcj1 (a core component of MICOS), as demonstrated by co-immunoprecipitation experiments where purifications of Aim37-FLAG contained significant peptides of Fcj1
It forms a functional unit with Aim5 and Aim13, as all three proteins can be co-purified with each other
These interactions are not merely structural but functionally significant as suggested by their genetic interaction profiles in the MITO-MAP
Functional Significance:
Research Implications:
When designing experiments to study AIM37-MICOS interactions, researchers should consider that disruption of these interactions leads to dramatic alterations in mitochondrial morphology including the formation of inner membrane septae and giant distorted mitochondria with irregular inner membranes . These phenotypes should be monitored using electron microscopy and fluorescence techniques to quantify the impact of experimental manipulations.
To investigate AIM37's role in mitochondrial inheritance and morphology, researchers employ multiple complementary approaches:
Genetic Manipulation Strategies:
Gene Deletion Studies:
Protein Tagging and Localization:
Morphological Analysis Methods:
Electron Microscopy:
Confocal Microscopy with Mitochondrial Markers:
Functional Assays:
Respiration Measurements:
Mitochondrial Inheritance Quantification:
Research has demonstrated that deletion of AIM37 leads to distinct functional deficiencies in mitochondria, including restrictions in growth on non-fermentable carbon sources, which is consistent with the reported alteration of inheritance of mitochondria . Additionally, combining AIM37 deletion with expression modifications of other MICOS components can lead to synthetic lethality on non-fermentable carbon sources, pointing to critical functional interactions .
AIM37 exerts significant influence on cardiolipin metabolism and mitochondrial membrane composition through multiple mechanisms:
Impact on Cardiolipin Acyl Chain Composition:
Research demonstrates that deletion of AIM37 in combination with alterations of MICOS components (particularly when His-tagged Mic12 or Mic26 are present) leads to significant changes in the acyl chain composition of cardiolipin
Specifically, there is a shift toward longer and more saturated acyl chains, reminiscent of patterns observed in tafazzin-deficient cells
These changes are remarkable as they mirror those described for mutants with deficiencies in tafazzin in various organisms, including those associated with Barth syndrome
Effect on Membrane Lipid Distribution:
Relationship with Respiratory Complexes:
Cardiolipin is essential for the function of respiratory complexes
The alteration in cardiolipin profiles correlates with the massive reduction of respiratory complexes observed in AIM37/MICOS mutants
This establishes a mechanistic connection between AIM37, cardiolipin metabolism, and mitochondrial energetics
The following table summarizes the observed effects on mitochondrial components when AIM37 is deleted in combination with His-tagged MICOS subunits:
| Condition | Cardiolipin Profile | Respiratory Complexes | Mitochondrial Morphology |
|---|---|---|---|
| Wild type | Normal distribution | Fully assembled | Normal cristae structure |
| Δaim37 | Largely normal | Slightly reduced | Increased septae formation |
| Δaim37 + His-Mic12 | Shift to longer, saturated acyl chains | Severely reduced | Small mitochondria lacking cristae |
| Δaim37 + His-Mic26 | Shift to longer, saturated acyl chains | Severely reduced | Small mitochondria lacking cristae |
| Δaim37 + His-Mic19/27 | Normal distribution | Normal | Normal cristae structure |
These findings suggest that AIM37 is part of a regulatory network that connects mitochondrial membrane architecture, lipid metabolism, and respiratory function .
To comprehensively evaluate AIM37's impact on respiratory chain function, researchers should employ a multi-faceted methodological approach:
Biochemical Assays:
Blue Native Gel Electrophoresis (BN-PAGE):
Spectrophotometric Enzyme Activity Assays:
Measure the activities of individual respiratory complexes (I-IV)
Assess ATP synthase (Complex V) function
Compare specific activities between wild-type and AIM37-modified strains
Physiological Measurements:
Oxygen Consumption Analysis:
Use oxygen electrodes or plate-based respirometry (e.g., Seahorse XF Analyzer)
Measure basal, maximal, and reserve respiratory capacity
Determine the effect of specific inhibitors to assess individual complex contributions
Membrane Potential Assessments:
Employ fluorescent probes (TMRM, JC-1) to measure mitochondrial membrane potential
Conduct flow cytometry or confocal microscopy for quantification
Perform time-lapse imaging to track dynamic changes in membrane potential
Growth and Viability Assays:
Carbon Source Utilization:
Stress Response Evaluation:
Challenge cells with oxidative stress inducers (H₂O₂, paraquat)
Assess sensitivity to respiratory inhibitors (antimycin A, oligomycin)
Measure cell survival and recovery following stress exposure
Research has demonstrated that:
AIM37 deletion in combination with His-tagged MICOS components (Mic12 or Mic26) leads to drastic reduction or complete absence of respiratory supercomplexes
These mutants show strong reduction in steady-state levels of individual respiratory chain subunits
There is an almost complete deficiency in subunit e (Su e) of the F₁F₀-ATP synthase
These effects correlate with changes in cardiolipin composition, establishing a link between membrane composition and respiratory function
These methodologies collectively provide a comprehensive assessment of how AIM37 impacts respiratory chain function at multiple levels, from complex assembly to physiological performance.
When confronting contradictory findings in AIM37 functional studies, researchers should apply the following systematic approaches:
Standardization of Experimental Systems:
Strain Background Considerations:
Verify the exact A. gossypii strain used (e.g., ATCC 10895, CBS 109.51, FGSC 9923, NRRL Y-1056)
Account for potential genetic differences between laboratory strains
Document any mutations that might have accumulated during strain maintenance
Consider that industrial strains optimized for riboflavin production may have altered mitochondrial function
Growth Condition Harmonization:
Methodological Refinement:
Protein Expression and Tagging Strategy:
Compare N-terminal vs. C-terminal tags and their potential interference with function
Evaluate tag size impact (small epitope tags vs. larger fluorescent proteins)
Consider expression level effects (native promoter vs. overexpression)
Note that tag placement can affect protein localization or interaction
Interaction Studies Approach:
Data Integration Framework:
Multi-omics Data Integration:
Phenotypic Hierarchy Analysis:
Researchers should be particularly attentive to the fact that A. gossypii is a multinucleate organism, and as demonstrated in the riboflavin-overproducing mutant analysis, it may contain multiple nuclei with different mutations . This can lead to heterogeneous populations of proteins and variable phenotypes depending on the proportion of nuclei carrying specific mutations.
The study of AIM37 has significant potential for advancing our understanding of mitochondrial diseases through several promising research directions:
Cardiolipin Metabolism and Barth Syndrome Models:
Therapeutic Target Identification:
Explore whether modulation of AIM37 function can rescue cardiolipin abnormalities in tafazzin-deficient models
Investigate if AIM37 overexpression can compensate for defects in cardiolipin remodeling
Study synthetic interactions between AIM37 and tafazzin to identify potential compensatory mechanisms
Membrane Architecture Regulation:
Determine how AIM37's interaction with the MICOS complex affects cristae formation
Investigate whether AIM37 can be targeted to stabilize mitochondrial membranes in disease states
Develop small molecules that modulate AIM37-MICOS interactions as potential therapeutic agents
Mitochondrial Dynamics and Quality Control:
Fission/Fusion Machinery Interactions:
Map the functional relationship between AIM37 and mitochondrial dynamics proteins
Investigate AIM37's role in mitochondrial quality control mechanisms
Develop assays to measure how AIM37 affects mitochondrial turnover through mitophagy
Metabolic Adaptation Mechanisms:
Genetic Engineering Approaches:
CRISPR/Cas9 Applications:
Develop precise gene editing strategies to introduce disease-relevant mutations in AIM37
Create cellular models with controlled expression of AIM37 variants
Establish high-throughput screening systems for compounds affecting AIM37 function
Heterologous Expression Systems:
Optimize expression of human AIM37 homologs in A. gossypii
Develop dual expression systems for studying interaction partners
Create chimeric proteins to identify functional domains important for disease-relevant interactions
Potential Therapeutic Applications Table:
| Mitochondrial Disease | AIM37-Related Mechanism | Research Approach | Potential Intervention |
|---|---|---|---|
| Barth Syndrome | Cardiolipin remodeling | Study AIM37-tafazzin interactions | Molecules stabilizing MICOS-AIM37 complex |
| MICOS-related disorders | Cristae junction formation | Analyze AIM37's role in membrane architecture | Gene therapy to restore AIM37 function |
| mtDNA maintenance disorders | Nucleoid distribution | Investigate AIM37's role in mitochondrial inheritance | Small molecules enhancing AIM37 activity |
| Respiratory chain deficiencies | Complex assembly and stability | Study how AIM37 affects respiratory supercomplex formation | Metabolic bypasses targeting AIM37 pathways |
The observation that AIM37 deletion in combination with MICOS alterations mimics aspects of Barth syndrome pathology is particularly promising for developing new models of this disease . Furthermore, given A. gossypii's established role in industrial biotechnology , there's potential for developing this organism as a platform for screening therapeutic compounds targeting mitochondrial diseases.
When investigating AIM37 protein-protein interactions, implementing comprehensive controls is essential for generating reliable and interpretable data:
Expression System Controls:
Empty Vector Controls:
Tag-Only Controls:
Express the tag alone (e.g., FLAG, His) without AIM37
Identify non-specific interactions attributable to the tag
Compare elution profiles between tag-only and AIM37-tagged samples
Interaction Specificity Controls:
Bait Stringency Series:
Perform purifications under increasing salt or detergent concentrations
Establish interaction strength hierarchy based on resistance to stringent conditions
Identify core versus peripheral interaction partners
Reciprocal Tagging:
Functional Validation Controls:
Mutation Analysis:
Introduce point mutations in predicted interaction domains
Assess the impact on complex formation and function
Correlate biochemical interactions with functional outcomes
Domain Mapping:
Create truncation mutants to identify minimal interaction domains
Express individual domains to test for direct binding
Use peptide competition assays to verify specific binding regions
Technical Method Controls:
Sample Preparation Variables:
Compare different cell lysis methods (mechanical vs. enzymatic)
Test multiple detergents for membrane protein solubilization (digitonin, DDM, Triton X-100)
Assess the impact of protease inhibitor cocktail composition
Crosslinking Validation:
If using crosslinking approaches, include non-crosslinked samples
Employ a range of crosslinker concentrations
Use both reversible and non-reversible crosslinkers
In published studies on A. gossypii mitochondrial proteins, researchers have effectively used FLAG-tagged proteins purified from digitonin-solubilized mitochondrial extracts, with untagged wild-type strains as controls . Mass spectrometry analysis included quantification of both the number of unique peptides and the percent coverage of detected proteins, providing robust metrics for interaction confidence .
Optimizing recombinant AIM37 expression for structural studies requires addressing several key challenges specific to mitochondrial membrane-associated proteins:
Expression Host Selection:
Prokaryotic Systems:
Eukaryotic Alternatives:
Pichia pastoris for proteins requiring post-translational modifications
Spodoptera frugiperda (Sf9) insect cells for complex eukaryotic proteins
Cell-free expression systems for difficult-to-express proteins
Vector and Construct Design:
Fusion Partners for Solubility:
MBP (Maltose-Binding Protein) to enhance solubility
SUMO tag for improved folding and protease-mediated tag removal
Thioredoxin fusion for disulfide-rich proteins
Expression Optimization Elements:
Codon optimization for the chosen expression host
Strong, inducible promoters with tunable expression levels
Inclusion of purification tags appropriate for structural studies (His6, FLAG, Twin-Strep)
Culture Condition Optimization:
Temperature Modulation:
Reduced temperatures (16-25°C) to slow expression and improve folding
Heat shock protocols to induce chaperone expression before induction
Temporal regulation of induction intensity
Media Formulation:
Enriched auto-induction media for controlled expression
Supplementation with specific lipids to stabilize membrane-associated domains
Addition of chemical chaperones (glycerol, arginine, trehalose)
Purification Strategy Refinement:
Detergent Screening:
Test multiple detergents (DDM, LMNG, GDN, digitonin)
Implement detergent exchange during purification
Consider amphipols or nanodiscs for detergent-free final samples
Chromatography Optimization:
Multi-step purification combining affinity, ion exchange, and size exclusion
On-column folding protocols for difficult proteins
Inclusion of stabilizing additives in all buffers
Stability Assessment Protocol:
| Method | Application | Expected Outcome for Well-Behaved AIM37 |
|---|---|---|
| Thermal Shift Assay | Buffer optimization | Clear unfolding transition, Tm shift with stabilizers |
| Size Exclusion Chromatography | Aggregation assessment | Monodisperse peak at expected molecular weight |
| Dynamic Light Scattering | Polydispersity evaluation | <15% polydispersity, stable radius over time |
| Limited Proteolysis | Domain identification | Discrete, stable fragments identifying domains |
| Circular Dichroism | Secondary structure confirmation | Spectrum consistent with predicted structure |
For recombinant AIM37, researchers should pay particular attention to its association with membrane components and interaction partners. As observed with other AIM proteins, maintaining these interactions may be crucial for proper folding and stability . The storage recommendations used for commercial recombinant AIM proteins (Tris-based buffer with 50% glycerol, stored at -20°C or -80°C) provide a starting point, but structural studies will likely require more specialized buffer optimization.
AIM37 research offers several unique opportunities to advance our understanding of mitochondrial evolution through comparative genomics and functional analysis approaches:
Evolutionary Conservation Analysis:
Phylogenetic Distribution:
AIM37 homologs can be traced across fungal lineages to identify conserved domains
Comparison between filamentous fungi like A. gossypii and unicellular yeasts like S. cerevisiae reveals evolutionary adaptations
This comparative approach is particularly valuable given that A. gossypii is evolutionarily close to unicellular yeasts but grows exclusively in a filamentous way
Structural Domain Evolution:
Identification of functionally critical regions through multi-species sequence alignment
Correlation of sequence conservation with interaction interfaces
Mapping of lineage-specific insertions or deletions that may relate to specialized functions
Mitochondrial Architecture Evolution:
Cristae Morphology Adaptation:
Compare AIM37's role in cristae formation across species with different mitochondrial morphologies
Investigate whether AIM37's function correlates with metabolic requirements in different organisms
A. gossypii represents an interesting model as it naturally overproduces riboflavin, which may place unique demands on mitochondrial function
MICOS Complex Evolution:
Study how AIM37's integration with the MICOS complex varies across species
Identify lineage-specific interaction partners that may reflect adaptive specialization
Compare the phenotypic consequences of AIM37 deletion across evolutionary diverse fungi
Metabolic Adaptation Analysis:
Respiratory vs. Fermentative Metabolism:
Investigate how AIM37's function relates to the balance between respiratory and fermentative metabolism
Explore whether AIM37 plays a role in the Crabtree effect (glucose repression of respiration)
This is particularly relevant as A. gossypii can effectively use various waste streams as carbon sources
Riboflavin Production Correlation:
The compact organization of rRNA genes in A. gossypii (approximately 50 tandem repeat units of 8197 bp) compared to other fungi may provide insights into how mitochondrial function and inheritance mechanisms have co-evolved with nuclear genome organization. Additionally, the ability to engineer A. gossypii for enhanced production of compounds like FAD (derived from riboflavin) offers unique opportunities to study the evolutionary pressures on mitochondrial function in response to metabolic demands.
Investigating AIM37 across diverse genetic backgrounds presents several technical challenges that researchers must address through specialized methodological approaches:
Transformation and Gene Editing Challenges:
Multinucleate Nature of A. gossypii:
The syncytial, multinucleate nature of A. gossypii complicates genetic manipulation
Transformation may initially yield heterokaryotic clones with both transformed and untransformed nuclei
Multiple rounds of spore isolation may be required to obtain homokaryotic clones
In some strains, particularly those with mutations affecting sporulation, obtaining homokaryotic transformants may be particularly challenging
Integration Site Effects:
Expression Variability Management:
Promoter Selection Considerations:
Different genetic backgrounds may respond differently to the same promoter
Test multiple promoters with different regulatory characteristics
Consider using the Dual Luciferase Reporter Assay to quantify promoter activity in each background
The 10 new promoters with different features, including carbon source-regulatable abilities, identified for A. gossypii provide valuable options
Nuclear Heterogeneity Effects:
Phenotypic Analysis Complexities:
Growth Media Requirements:
Different genetic backgrounds may have distinct nutritional requirements
Standardize media composition or develop strain-specific optimal media
Consider that some strains may be unable to utilize certain carbon sources efficiently
Mitochondrial Phenotype Characterization:
Baseline mitochondrial morphology and function may vary between backgrounds
Establish strain-specific reference values for all mitochondrial parameters
Use internal controls within each strain rather than cross-strain comparisons
Data Integration Framework:
| Challenge | Technical Solution | Implementation Example |
|---|---|---|
| Nuclear heterogeneity | Single-nucleus sequencing | Isolate individual nuclei and perform targeted sequencing of AIM37 locus |
| Variable expression | Quantitative Western blotting | Use internal loading controls specific to each background |
| Background-specific interactions | Comparative interactomics | Perform parallel AIM37 purifications from multiple backgrounds |
| Phenotypic baseline differences | Normalization to wild-type | Express data as fold-change relative to isogenic wild-type |
| Integration locus variation | CRISPR/Cas9 precise editing | Create identical mutations at the endogenous locus |
The development of effective marker recycling systems, such as Cre recombinase-mediated loxP-kanMX-loxP marker elimination , is particularly valuable for complex genetic manipulations in different backgrounds. These systems allow for sequential genetic modifications without accumulating multiple selection markers that might interfere with phenotypic analysis.
Additionally, researchers should consider that industrial strains of A. gossypii optimized for riboflavin production may contain multiple mutations affecting mitochondrial function , which could confound AIM37 functional studies if not properly accounted for.
Researchers studying AIM37 can utilize the following bioinformatic resources for comprehensive analysis:
Sequence and Structure Analysis Tools:
Protein Databases and Identifiers:
UniProt: The AIM37 entry can be accessed using accession number provided in product data sheets
NCBI Protein Database: Contains annotated AIM37 sequences with functional predictions
Saccharomyces Genome Database (SGD): While focused on yeast, contains valuable comparative information on AIM homologs
Protein Structure Prediction:
AlphaFold2: Generate predicted structures for AIM37 and its interaction partners
SWISS-MODEL: Create homology models based on related proteins with known structures
I-TASSER: Integrated platform for structure and function prediction
Functional Analysis Resources:
Mitochondrial Protein Databases:
MitoMiner: Integrated database of mitochondrial proteomics data
MitoCarta: Inventory of mammalian mitochondrial proteins with homology information
IMPI (Integrated Mitochondrial Protein Index): Comprehensive mitochondrial protein database
Interaction Network Tools:
STRING: Protein-protein interaction networks with confidence scoring
BioGRID: Curated protein and genetic interactions
MICOS Complex databases: Specialized resources for cristae organizing system components
Genomic Analysis Platforms:
Ashbya gossypii Resources:
Comparative Genomics Tools:
Ensembl Fungi: Compare AIM37 across fungal species
OrthoMCL: Identify orthologous groups across species
FungiDB: Integrative genomic database for fungi
Experimental Design Resources:
Gene Manipulation Databases:
Mitochondrial Methods Repositories:
Protocols for mitochondrial isolation from filamentous fungi
Optimized procedures for membrane protein solubilization
Imaging techniques for mitochondrial morphology in syncytial organisms
When analyzing AIM37 and its interactions, researchers should pay particular attention to the MITO-MAP genetic interaction data, which provides valuable insights into functional relationships between mitochondrial proteins . Additionally, the gene expression datasets from RNA-seq studies of A. gossypii can help identify co-regulated genes that may function in the same pathways as AIM37.
To ensure reproducibility in AIM37 functional studies, researchers should adopt the following standardized protocols:
Strain Maintenance and Verification:
Reference Strain Documentation:
Genome Verification Protocol:
Gene Expression Standardization:
Transcriptional Analysis Protocol:
Protein Expression Quantification:
Standardized Western blotting protocol with validated antibodies
Inclusion of loading controls appropriate for mitochondrial proteins
Densitometry analysis using linear range of detection
Consider using SILAC or other quantitative proteomics approaches for higher precision
Functional Assays Standardization:
Mitochondrial Isolation Protocol:
Standardized growth conditions before isolation
Gentle mechanical disruption methods for filamentous fungi
Density gradient purification to separate mitochondrial subpopulations
Quality control metrics for mitochondrial integrity
Respiratory Function Analysis:
Microscopy Standards:
Sample Preparation Protocol:
Standardized fixation methods for preserving mitochondrial morphology
Consistent immunolabeling procedures with validated antibodies
Mounting media selection to minimize artifacts
Use of fiducial markers for scale calibration
Image Acquisition and Analysis:
Defined exposure settings and detector gain for quantitative imaging
Z-stack parameters for 3D reconstruction of mitochondrial networks
Blinded analysis to prevent observer bias
Automated image analysis workflows for morphological quantification
Data Reporting Requirements:
| Data Type | Essential Parameters to Report | Quality Control Metrics |
|---|---|---|
| Strain information | Full strain designation, genotype, source | Growth rate on standard media |
| Growth conditions | Media composition, temperature, pH, aeration | Cell density at harvest |
| Gene expression | Primer sequences, reference genes | qPCR efficiency, R² values |
| Protein analysis | Antibody details, blocking conditions | Signal:noise ratio |
| Mitochondrial isolation | Buffer composition, centrifugation parameters | Respiratory control ratio |
| Microscopy | Objective specifications, filter sets | Resolution measurements |
The adaptation of the Dual Luciferase Reporter (DLR) Assay for promoter analysis in A. gossypii using integrative cassettes provides an excellent model for standardized protocols. This approach demonstrated high efficiency in the analysis of promoter activity and can be adapted for studying AIM37 expression under various conditions.
Additionally, researchers should consider depositing their detailed protocols in repositories such as protocols.io to enhance reproducibility across different laboratories.