Recombinant Acinetobacter sp. Putative membrane protein insertion efficiency factor (ACIAD3682)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchase method and location. Please consult your local distributor for precise delivery estimates.
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50% and may serve as a reference.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. If you require a specific tag, please inform us; we will prioritize its development.
Synonyms
ACIAD3682; Putative membrane protein insertion efficiency factor
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-106
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Acinetobacter baylyi (strain ATCC 33305 / BD413 / ADP1)
Target Names
ACIAD3682
Target Protein Sequence
MVRILHWLIR FYQIAISPML GPRCRYIPTC SQYSLEAIHT HGAMKGTWLA IHRVCRCHPW GGSGYDPVPP KAIRFISFQQ IDSQMLHVTV PFRERLLNLN HSNHLG
Uniprot No.

Target Background

Function
Potentially involved in the membrane insertion of integral membrane proteins.
Database Links
Protein Families
UPF0161 family
Subcellular Location
Cell inner membrane; Peripheral membrane protein; Cytoplasmic side.

Q&A

What is ACIAD3682 and what is its predicted function in Acinetobacter species?

ACIAD3682 is classified as a putative membrane protein insertion efficiency factor in Acinetobacter species. While its specific molecular function hasn't been fully characterized, it likely plays a role in membrane biogenesis pathways similar to other bacterial membrane protein insertion factors. Based on comparative studies with other Acinetobacter proteins, it may function in the integration of proteins into bacterial membranes, potentially affecting cellular processes like stress response, antibiotic resistance, or biofilm formation .

The methodological approach to studying ACIAD3682 function involves comparative genomics with other characterized bacterial proteins, protein localization studies, and phenotypic analysis of knockout or overexpression strains. Similar to studies on Acinetobacter OmpA protein, which demonstrated roles in biofilm formation and attachment to host cells, systematic analysis of ACIAD3682 mutants could reveal its functional contributions to bacterial physiology .

Which expression systems are most suitable for producing recombinant ACIAD3682?

The optimal expression system for ACIAD3682 depends on experimental requirements including yield, post-translational modifications, and downstream applications. Multiple systems have demonstrated success with Acinetobacter membrane proteins:

Expression SystemAdvantagesLimitationsRecommended For
E. coli (BL21(DE3), Rosetta-GAMI)High yield, rapid growth, economicLimited post-translational modificationsStructural studies, antibody production
Yeast (SMD1168, GS115, X-33)Eukaryotic modifications, proper foldingModerate yield, longer production timeFunctional studies requiring folding
Insect cell (Sf9, Sf21, High Five)Complex eukaryotic modificationsHigher cost, technical complexityDetailed functional analysis
Mammalian (293T, CHO)Native-like modificationsHighest cost, lowest yieldInteraction studies with host proteins

The methodological approach should include small-scale expression trials across multiple systems, followed by solubility and activity assessments to determine the optimal system for your specific research aims .

How do fusion tags affect the expression and purification of ACIAD3682?

Fusion tags significantly influence ACIAD3682 expression, solubility, and downstream applications. Drawing from experiences with other Acinetobacter membrane proteins, the choice of tag requires careful consideration:

His-tagged ACIAD3682 enables efficient metal affinity purification but may affect membrane integration. Studies with Acinetobacter SOD proteins demonstrated that tag placement can influence enzyme activity - for instance, AV3SodC required N-terminal truncation to produce stable, active protein .

For optimal results, consider testing multiple tag configurations:

  • N-terminal vs. C-terminal placement

  • Small tags (His, FLAG) vs. larger solubility enhancers (MBP, GST)

  • Cleavable vs. permanent tags depending on downstream applications

Methodologically, expression trials should include tag variations with subsequent assessment of protein yield, solubility, and functional activity to determine the optimal configuration for specific research goals .

How does the subcellular localization of ACIAD3682 affect experimental design considerations?

The subcellular localization of ACIAD3682 is a critical determinant for experimental planning. Based on studies of other Acinetobacter membrane proteins, membrane-associated proteins require specialized approaches:

Drawing parallels from research on Acinetobacter SOD proteins, where AV3SodB was detected in the bacterial cytosol while AV3SodC was found in the periplasmic fraction and outer membrane vesicles (OMVs), localization studies for ACIAD3682 should employ multiple complementary techniques:

  • Cell fractionation with subsequent Western blot analysis using anti-ACIAD3682 antibodies

  • Fluorescent protein fusion constructs for live-cell visualization

  • Immunogold electron microscopy for precise localization

  • Bioinformatic prediction of signal sequences and transmembrane domains

The methodological approach must account for potential artifacts from overexpression and tag interference. For example, research on AV3SodC revealed an N-terminal sequence containing a bacterial lipoprotein attachment site motif (3)[LVI](2)[Xaa](1)[Yaa](+1)C(−3)[LVI] (−2)[Xaa] (−1)[Yaa] (+1)C, suggesting membrane association . Similar sequence analysis of ACIAD3682 could predict localization patterns that inform experimental design.

What are the differential expression patterns of ACIAD3682 under varying environmental stressors?

Understanding ACIAD3682 expression patterns under different environmental conditions provides insights into its physiological roles. Drawing from studies on Acinetobacter SOD genes, where differential expression was observed in response to specific stressors:

  • Oxidative stress: Similar to how sodC expression increased approximately twofold after 30 minutes of blue light exposure while sodB levels remained unchanged, ACIAD3682 expression should be quantified under various oxidative challenges (H₂O₂, paraquat, UV radiation)

  • Antibiotic exposure: Drawing parallels from A. baumannii studies where sodB mutation led to increased susceptibility to colistin and tetracycline, ACIAD3682 expression should be monitored during antibiotic treatment

  • Nutrient limitation: Expression changes during growth in minimal media or under specific nutrient restrictions

The methodological approach should combine:

  • qRT-PCR for transcript quantification

  • Western blot for protein level assessment

  • Reporter gene fusions for real-time monitoring

  • Proteomic analysis across growth conditions

These techniques would establish the stress response profile of ACIAD3682, informing hypotheses about its functional role in bacterial adaptation .

How can outer membrane vesicle (OMV) association of ACIAD3682 be experimentally verified?

If ACIAD3682 associates with OMVs, as observed with AV3SodC in Acinetobacter sp. Ver3, verification requires a systematic approach:

  • OMV isolation protocol:

    • Collect bacteria-free culture supernatant via centrifugation (6,000 × g, 10 min)

    • Filter through 0.22 μm membranes to remove remaining cells

    • Ultracentrifuge filtrate (150,000 × g, 3 h, 4°C) to pellet OMVs

    • Wash OMV pellet with sterile PBS and verify purity via electron microscopy

  • Verification techniques:

    • Western blot analysis of OMV fractions using anti-ACIAD3682 antibodies

    • Mass spectrometry-based proteomic analysis of purified OMVs

    • Activity assays if ACIAD3682 has measurable enzymatic activity

    • Immunogold electron microscopy for direct visualization

  • Functional testing:

    • Assessment of OMV-associated ACIAD3682 activity under various conditions

    • Comparison of OMV protein content between wild-type and ACIAD3682-deficient strains

This methodological approach parallels that used to demonstrate AV3SodC presence and activity in Acinetobacter OMVs, where the enzyme was found to be active when located in these vesicles, potentially providing protection against oxidative stress in the extracellular environment .

What controls are essential when assessing the functional activity of recombinant ACIAD3682?

Rigorous experimental controls are critical for meaningful interpretation of ACIAD3682 functional studies:

Positive Controls:

  • Well-characterized protein from the same family with known activity

  • Native (non-recombinant) ACIAD3682 extracted from Acinetobacter sp. when feasible

  • Activity measurements under optimal conditions to establish baseline function

Negative Controls:

  • Heat-inactivated ACIAD3682 to confirm specificity of activity assays

  • Empty vector-transformed host cells processed identically

  • Site-directed mutants targeting predicted catalytic residues

  • Isogenic knockout strains compared to complemented strains

Technical Controls:

  • Multiple biological replicates with different protein preparations

  • Standard curves for all quantitative measurements

  • Exclusion of tag interference by comparing tagged vs. untagged proteins

Drawing from experimental design principles in journal club training, proper controls enable confident attribution of observed effects to ACIAD3682 function rather than experimental artifacts . The methodological approach should systematically eliminate alternative explanations for observed phenomena through appropriately matched controls.

How should researchers design experiments to investigate ACIAD3682's role in biofilm formation?

Investigation of ACIAD3682's potential role in biofilm formation requires a multi-faceted experimental design approach, informed by studies of other Acinetobacter outer membrane proteins:

Static Biofilm Assays:

  • Compare biofilm formation between wild-type, ACIAD3682-knockout, and complemented strains

  • Quantify biomass using crystal violet staining at multiple time points (24, 48, 72 hours)

  • Assess biofilm architecture using confocal microscopy with fluorescently labeled strains

  • Test biofilm formation on different surfaces (plastic, glass, biotic surfaces)

Flow Cell Systems:

  • Establish continuous flow conditions mimicking natural environments

  • Monitor biofilm development in real-time using fluorescent reporters

  • Analyze biofilm resistance to mechanical shear forces

Molecular Mechanisms:

  • Gene expression profiling of biofilm-associated genes in ACIAD3682 mutants

  • Investigation of extracellular matrix composition changes

  • Pull-down assays to identify interaction partners in biofilm context

This methodological approach parallels studies on OmpA protein in Acinetobacter baumannii, which demonstrated OmpA's partial role in biofilm formation on plastic surfaces but absolute requirement for attachment to biotic surfaces . Similar experimental designs would elucidate whether ACIAD3682 functions analogously or through distinct mechanisms in biofilm development.

What experimental approaches can determine ACIAD3682 interaction with host cells?

To investigate potential interactions between ACIAD3682 and host cells, researchers should implement complementary experimental approaches:

Binding Assays:

  • Radiolabeled or fluorescently labeled purified ACIAD3682 incubation with host cells

  • Flow cytometry quantification of binding to different cell types

  • Competition assays with potential binding partners to identify interaction domains

Cell Culture Models:

  • Exposure of epithelial, endothelial, or immune cells to purified ACIAD3682

  • Assessment of host cell responses (cytokine production, morphological changes)

  • Comparison of wild-type and ACIAD3682-deficient bacterial strains in infection models

In Vivo Studies:

  • Animal infection models comparing wild-type and ACIAD3682-mutant strains

  • Histopathological analysis of infected tissues

  • Immune response characterization in presence/absence of functional ACIAD3682

Molecular Interaction Mapping:

  • Yeast two-hybrid screening for host protein interactions

  • Co-immunoprecipitation assays from infected cell lysates

  • Surface plasmon resonance to measure binding kinetics with candidate receptors

This methodological framework draws from studies of Acinetobacter OmpA protein's role in host cell interactions, where experimental approaches revealed its importance in adhesion to host epithelial cells . Similar techniques would elucidate whether ACIAD3682 participates in host-pathogen interactions.

How should researchers interpret contradictory results between different expression systems for ACIAD3682?

When faced with contradictory results across expression systems, researchers should employ a systematic analytical approach:

  • Protein Integrity Assessment:

    • Verify full-length expression using mass spectrometry

    • Compare post-translational modifications across systems

    • Assess oligomerization state using native PAGE or size exclusion chromatography

  • Functional Context Analysis:

    • Evaluate each system's cellular environment (redox state, chaperones)

    • Consider membrane composition differences between expression hosts

    • Assess compatibility of fusion tags with protein function

  • Activity Normalization:

    • Calculate specific activity based on active protein fraction rather than total protein

    • Use multiple activity assays measuring different functional aspects

    • Develop reconstitution experiments to identify missing cofactors

Drawing from experiences with Acinetobacter SOD proteins, where AV3SodB was successfully expressed in soluble form while AV3SodC required N-terminal truncation to avoid proteolytic fragments, expression system discrepancies often reveal important functional characteristics of the protein . The methodological approach should view contradictions as valuable data points rather than experimental failures, potentially revealing context-dependent protein functions.

What statistical approaches are most appropriate for analyzing ACIAD3682 activity data?

The statistical analysis of ACIAD3682 activity data should be tailored to the experimental design and data characteristics:

For Comparing Expression Conditions:

  • Analysis of Variance (ANOVA) with post-hoc tests for multiple condition comparisons

  • Consider nested designs when analyzing batch effects

  • Include appropriate transformation for non-normally distributed data

For Kinetic Studies:

  • Non-linear regression for enzyme kinetics parameters (Km, Vmax)

  • Bootstrap resampling for confidence interval estimation

  • Model comparison approaches (AIC, BIC) for mechanism determination

For Multi-variable Experiments:

  • Multiple regression with interaction terms

  • Principal Component Analysis for dimension reduction

  • Mixed-effects models for repeated measures designs

Reporting Requirements:

  • Effect sizes with confidence intervals rather than just p-values

  • Clear description of sample sizes and power calculations

  • Transparent reporting of all statistical tests performed

How can researchers verify that purified recombinant ACIAD3682 maintains native structure and function?

Verifying native-like structure and function of recombinant ACIAD3682 requires multiple complementary approaches:

Structural Verification:

  • Circular dichroism spectroscopy to assess secondary structure content

  • Thermal stability assays comparing recombinant and native protein

  • Limited proteolysis patterns to evaluate domain folding

  • Where feasible, structural determination via X-ray crystallography or cryo-EM

Functional Verification:

  • Activity assays comparing recombinant and native protein sources

  • Analysis of ligand binding characteristics and specificity

  • Complementation assays in knockout strains

  • Antibody recognition using conformational epitope-specific antibodies

Membrane Integration Assessment:

  • Liposome reconstitution experiments

  • Membrane extraction profiles (detergent resistance)

  • Proteolytic accessibility in membrane environments

Drawing from studies on Acinetobacter SOD enzymes, where activity was confirmed through complementary methods including in-gel activity staining and xanthine oxidase assays, functional verification requires multiple methodological approaches . For instance, AV3SodB showed specific activity of 6,600 ± 200 U/mg while AV3SodC-p exhibited 1,800 ± 200 U/mg, providing quantitative benchmarks for functional verification.

What are the most promising research directions for understanding ACIAD3682 function in Acinetobacter biology?

Future research on ACIAD3682 should prioritize several interconnected directions to comprehensively understand its biological significance:

  • Structure-Function Relationships:

    • High-resolution structural determination (X-ray crystallography or cryo-EM)

    • Identification of functional domains through targeted mutagenesis

    • Computational modeling of membrane integration dynamics

  • Physiological Role Definition:

    • Transcriptomic and proteomic profiling of knockout strains

    • Phenotypic characterization under diverse environmental conditions

    • Epistasis studies with related membrane biogenesis factors

  • Host-Pathogen Interaction Studies:

    • Contribution to virulence in infection models

    • Interaction with host immune recognition systems

    • Potential as vaccine or therapeutic target

  • Comparative Analysis Across Acinetobacter Species:

    • Evolutionary conservation and divergence patterns

    • Species-specific functional adaptations

    • Correlation with ecological niches and pathogenicity

Similar to the multidisciplinary approaches used to characterize SOD enzymes in Acinetobacter species, where biochemical, structural, and genetic methods revealed compartment-specific roles in oxidative stress response, ACIAD3682 research requires integrated methodological approaches across multiple experimental scales . The convergence of these research directions would establish ACIAD3682's position within the broader context of Acinetobacter biology and potential clinical significance.

What methodological advances would most benefit ACIAD3682 research?

Several methodological advances would significantly accelerate ACIAD3682 research:

  • Improved Membrane Protein Expression Systems:

    • Development of specialized expression hosts with optimized membrane insertion machinery

    • Novel fusion tags designed specifically for membrane protein folding

    • Cell-free expression systems with defined membrane mimetics

  • Advanced Imaging Techniques:

    • Super-resolution microscopy for precise subcellular localization

    • Single-molecule tracking to observe dynamics in living cells

    • Correlative light-electron microscopy for structural context

  • Functional Genomics Tools:

    • CRISPR-Cas9 systems optimized for Acinetobacter species

    • Conditional expression systems for essential genes

    • High-throughput phenotypic screening platforms

  • Structural Biology Approaches:

    • Lipid cubic phase crystallization for membrane proteins

    • Cryo-electron tomography for in situ structural determination

    • Integrative structural modeling combining multiple data sources

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