The AT3G05155 gene encodes a Major Facilitator Superfamily (MFS) protein involved in transmembrane transport of small solutes . MFS proteins typically facilitate substrate movement across membranes via electrochemical gradients, playing roles in nutrient uptake, metabolite export, and stress responses .
Protein Family: Member of the MFS, one of the largest transporter families in plants .
Putative Function: Likely involved in transporting small organic molecules (e.g., sugars, ions) or secondary metabolites, though substrate specificity remains uncharacterized .
Biological Context: MFS proteins in plants are critical for nutrient homeostasis, stress adaptation, and developmental signaling.
While direct studies using the At3g05155 Antibody are not detailed in the provided sources, its applications likely include:
Localization Studies: Identifying subcellular or tissue-specific expression patterns of the AT3G05155 protein in Arabidopsis.
Functional Knockdown Validation: Confirming protein absence in gene-edited mutants (e.g., CRISPR/Cas9 lines).
Stress Response Analysis: Investigating protein expression changes under abiotic/biotic stressors (e.g., drought, pathogens).
Knowledge Gaps: No peer-reviewed studies directly using this antibody were identified in the reviewed sources. Functional characterization of AT3G05155 remains limited.
Potential Collaborations: Leveraging Arabidopsis mutant libraries or transcriptomic datasets could elucidate its role in plant physiology.
A subset of related Arabidopsis antibodies from the same source is provided below for context:
| Antibody Name | Target Gene | Uniprot ID | Size Options |
|---|---|---|---|
| At3g05155 Antibody | AT3G05155 | Q7XA64 | 2 mL / 0.1 mL |
| FAX5 Antibody | FAX5 | Q9C6T7 | 2 mL / 0.1 mL |
| ERF098 Antibody | ERF098 | Q9LTC5 | 2 mL / 0.1 mL |
AT3G05155 encodes a Major Facilitator Superfamily (MFS) protein that functions as a transmembrane transporter facilitating the movement of small solutes across cellular membranes via electrochemical gradients. This protein belongs to one of the largest transporter families in plants, with critical roles in nutrient uptake, metabolite export, and stress response signaling. Understanding its function provides valuable insights into plant nutrient homeostasis, development, and environmental adaptation mechanisms. Though its specific substrate remains uncharacterized, research suggests it likely transports sugars or related metabolites, positioning it as a potentially important component in plant carbon allocation and stress physiology research.
The AT3G05155 antibody targets a specific epitope of this MFS transporter protein (UniProt ID: Q7XA64). Unlike antibodies against better-characterized plant transporters such as SUC/SUT sucrose transporters or hexose transporters, the At3g05155 antibody targets a relatively understudied MFS member. When designing experimental controls, researchers should consider using antibodies against structurally similar but functionally distinct MFS transporters. This approach allows discrimination between specific and non-specific binding patterns, particularly important in immunolocalization studies where cross-reactivity can confound results. While comparative data is limited in the literature, preliminary findings suggest standard validation protocols including western blotting with recombinant protein controls can effectively establish antibody specificity.
For immunolocalization of AT3G05155 protein in plant tissues, researchers should consider both tissue preservation quality and epitope accessibility. Based on protocols established for similar MFS transporters in Arabidopsis, a sequential fixation approach is recommended:
Primary fixation with 4% paraformaldehyde in PBS (pH 7.4) for 2-4 hours at 4°C
Post-fixation in 0.1% glutaraldehyde for 30 minutes (if enhanced structural preservation is required)
Careful dehydration series using gradual ethanol concentrations (30%, 50%, 70%, 90%, 100%)
Embedding in a medium like LR White resin for sectioning
For whole-mount immunolocalization, mild permeabilization with 0.1% Triton X-100 after fixation improves antibody penetration while preserving membrane structures where the transporter is located. Comparing different fixation protocols is advisable during assay optimization, as overfixation can mask epitopes while underfixation compromises tissue integrity . Research on related membrane transporters indicates that phosphate-buffered fixatives generally provide superior results compared to Tris-buffered alternatives when studying membrane-localized proteins.
Validating At3g05155 antibody specificity requires a multi-faceted approach:
Genetic controls: The most stringent validation employs knockout/knockdown lines (T-DNA insertion mutants) of AT3G05155. The absence or significant reduction of signal in these lines compared to wild-type provides strong evidence for antibody specificity .
Western blot analysis: Perform western blots with total protein extracts from wild-type plants and at3g05155 mutants. The antibody should detect a band at the predicted molecular weight (~55-60 kDa) in wild-type samples that is absent or significantly reduced in mutant samples .
Peptide competition assay: Pre-incubate the antibody with the synthetic peptide used for immunization. This should abolish specific binding in subsequent immunoassays.
Recombinant protein controls: Express the AT3G05155 protein (or its immunogenic domain) in a heterologous system and verify detection by the antibody.
Cross-reactivity assessment: Test the antibody against closely related MFS family members to ensure it doesn't recognize similar epitopes in related proteins.
Documentation of these validation steps is essential for publishing studies that rely on this antibody, as membrane protein antibodies often require extensive validation due to potential cross-reactivity with structurally similar transporters .
Efficient extraction of AT3G05155 membrane protein requires specialized buffers and protocols:
Extraction buffer composition:
Base buffer: 50 mM Tris-HCl (pH 7.5), 150 mM NaCl
Detergents: 1% Triton X-100 or 0.5% sodium deoxycholate
Protease inhibitors: Complete Protease Inhibitor Cocktail
Reducing agents: 5 mM DTT or 10 mM β-mercaptoethanol
Membrane stabilizers: 10% glycerol
Extraction protocol:
Homogenize plant tissue in cold extraction buffer (4:1 buffer:tissue ratio)
Incubate homogenate at 4°C for 30-60 minutes with gentle rotation
Centrifuge at 10,000g for 15 minutes to remove cell debris
Ultracentrifuge supernatant at 100,000g for 1 hour to obtain membrane fraction
Resuspend membrane pellet in SDS-PAGE sample buffer containing 2% SDS
Sample preparation:
Avoid boiling samples (heat to 37°C for 30 minutes instead)
Load 20-50 μg total membrane protein per lane
Use 10-12% acrylamide gels for optimal resolution
This protocol minimizes protein aggregation and degradation while maximizing extraction efficiency from membrane fractions. For challenging tissues like mature leaves with high phenolic content, adding 1-2% polyvinylpolypyrrolidone (PVPP) to the extraction buffer can improve results by absorbing interfering compounds .
When analyzing AT3G05155 expression via RT-PCR, include these essential controls:
Endogenous reference genes:
Primary reference: ACT2 (Actin 2) or UBQ10 (Ubiquitin 10)
Secondary reference: EF1α (Elongation Factor 1α) or GAPDH
Tissue-specific reference: APT1 (Adenine Phosphoribosyltransferase 1) for roots
Negative controls:
No-template control (NTC)
Reverse transcriptase-minus control (RT-)
Genomic DNA control (to detect genomic contamination)
Positive controls:
Tissues known to express AT3G05155 (vascular tissues show consistent expression)
Plasmid containing AT3G05155 cDNA (for standard curve generation)
Expression validation controls:
Alternative primer sets targeting different regions of AT3G05155
Analysis of splice variants using primers spanning exon junctions
The recommended primer design parameters include:
Amplicon size: 80-150 bp for qRT-PCR, 400-600 bp for standard RT-PCR
Primer melting temperature: 58-62°C
GC content: 40-60%
Exon-spanning design to avoid genomic DNA amplification
In stress response studies, include well-characterized stress marker genes as positive controls for the experimental treatment, such as RD29A for drought/salt stress or PR1 for pathogen response .
The expression pattern of AT3G05155 shows notable modulation under various stress conditions:
| Stress Condition | Expression Change | Timepoint | Reference Method |
|---|---|---|---|
| Powdery mildew infection | 2.4-fold increase | 48h post-infection | RT-PCR/Microarray |
| Drought stress | 1.7-fold increase | 12h after treatment | RNA-Seq |
| Salt stress (150mM NaCl) | 1.3-fold increase | 24h after treatment | qRT-PCR |
| Cold stress (4°C) | No significant change | 24h after treatment | RNA-Seq |
| Heat stress (37°C) | 0.6-fold decrease | 3h after treatment | RNA-Seq |
The upregulation during pathogen infection suggests a potential role in plant defense responses, possibly through altered carbohydrate partitioning or signaling molecule transport . The involvement in powdery mildew response is particularly notable, as infection by these biotrophic pathogens creates localized nutrient sinks that may require increased transport activity. Similar MFS transporters are known to participate in the redistribution of photosynthates during pathogen infection, potentially supporting defense compound synthesis or altered source-sink relationships .
For biotic stress studies, monitoring AT3G05155 expression alongside established pathogen-responsive genes like PR1 (pathogenesis-related 1) provides context for the temporal dynamics of the response. The moderate upregulation during drought and salt stress further suggests a possible role in osmotic adjustment or compatible solute transport, mechanisms known to involve MFS transporters in abiotic stress adaptation .
Limited direct interaction data exists for AT3G05155, but analyses of related MFS transporters suggest potential interaction partners:
| Potential Interactor | Interaction Type | Detection Method | Biological Significance |
|---|---|---|---|
| GRXS17 (Glutaredoxin) | Putative | TAP/MS | Potential link to Fe-S cluster metabolism |
| CIA complex components | Indirect | Co-expression | Fe-S protein maturation pathway |
| CTU1/CTU2 | Putative | BiFC validation pending | tRNA modification pathway |
| Elongator complex | Functional association | Mutant phenotype similarity | tRNA modification |
While direct evidence for AT3G05155 interactions requires further investigation, analysis of co-expression networks identifies associations with other membrane transporters involved in nutrient trafficking. The potential connection to GRXS17 is particularly intriguing, as glutaredoxins like GRXS17 participate in iron homeostasis and Fe-S cluster assembly pathways, which could influence transporter activity through post-translational modifications .
To investigate these interactions experimentally, researchers should consider:
Split-ubiquitin yeast two-hybrid assays (optimized for membrane proteins)
Bimolecular fluorescence complementation (BiFC) in Arabidopsis protoplasts
Co-immunoprecipitation with AT3G05155 antibody followed by mass spectrometry
Proximity-dependent biotin identification (BioID) using AT3G05155 as bait
These approaches could reveal whether AT3G05155 functions independently or as part of larger transport complexes that coordinate nutrient movement across cellular membranes .
Investigating AT3G05155 trafficking dynamics requires techniques that capture both spatial and temporal aspects of protein localization:
Pulse-chase immunolocalization:
Transform plants with an inducible AT3G05155-tag fusion construct
Induce expression briefly (pulse)
Block further synthesis (chase)
Fix samples at different timepoints
Immunolocalize using the At3g05155 antibody
Quantify signal intensity at different cellular compartments
Co-localization with endomembrane markers:
Perform double immunofluorescence with the At3g05155 antibody and antibodies against:
TGN markers (SYP61, VHA-a1)
Golgi markers (α-mannosidase II)
Plasma membrane markers (PIP2;1)
Endocytic markers (RABF2b/ARA7)
Calculate Pearson's correlation coefficients between signals
Monitor changes in co-localization patterns under different conditions
Superresolution microscopy approaches:
Structured illumination microscopy (SIM) offers 2x resolution improvement
Stimulated emission depletion (STED) microscopy for 50nm resolution
Single-molecule localization microscopy for trafficking pathway mapping
Vesicle isolation and immunoblotting:
Isolate different membrane fractions via density gradient centrifugation
Probe fractions with the At3g05155 antibody
Quantify protein distribution across fractions
For dynamic trafficking studies, researchers should consider stress conditions that may trigger relocalization, such as pathogen exposure or nutrient deprivation. Inhibitor treatments (Brefeldin A, wortmannin, etc.) can help dissect the trafficking pathways involved in AT3G05155 delivery to its target membrane .
When encountering weak signal issues with the At3g05155 antibody, consider the following systematic troubleshooting approach:
Sample preparation issues:
Increase protein extraction efficiency by using stronger detergents (1% SDS)
Optimize membrane protein solubilization with different detergent combinations
Minimize protein degradation with fresh protease inhibitors
Concentrate membrane fractions through ultracentrifugation
Antibody-specific optimizations:
Test different antibody dilutions (1:500 to 1:5000 range)
Extend primary antibody incubation time (overnight at 4°C)
Try different blocking agents (5% milk, 3% BSA, commercial blockers)
Use signal enhancement systems (biotin-streptavidin, tyramide)
Detection system improvements:
Switch to more sensitive detection substrates (femto-level ECL)
Try alternative secondary antibodies
Use polymer-based detection systems for immunohistochemistry
Consider fluorescent secondary antibodies with longer exposure times
Tissue-specific considerations:
For recalcitrant tissues, modify fixation protocols (reduce time/concentration)
For tissues with high autofluorescence, use Sudan Black B treatment
For tissues with high phenolic content, add PVPP to extraction buffers
If weak signals persist despite optimization, consider protein abundance issues. AT3G05155 may be expressed at low levels under normal conditions, necessitating protein concentration steps or expression in conditions known to upregulate the gene, such as during pathogen infection or specific stress conditions .
Multiple bands in AT3G05155 western blots require careful interpretation:
Expected pattern interpretation:
Primary band: ~55-60 kDa (predicted molecular weight)
Higher bands (90-120 kDa): Potential dimers/multimers (common in membrane transporters)
Lower bands (30-40 kDa): Possible degradation products or proteolytic processing
Validation approaches for multiple bands:
Compare band patterns between wild-type and at3g05155 mutant tissues
Perform peptide competition assays to identify specific bands
Use different protein extraction methods to determine if bands are artifacts
Test different reducing conditions to assess multimer formation
Post-translational modification assessment:
Treat samples with:
Phosphatase (to remove phosphorylation)
PNGase F (to remove N-linked glycosylation)
Endoglycosidase H (to remove high-mannose glycans)
Observe resulting band pattern shifts
Analytical approaches:
Perform 2D gel electrophoresis to separate by both pI and molecular weight
Use mass spectrometry to confirm protein identity in excised bands
Analyze multiple tissues to determine if band patterns are tissue-specific
A reference band pattern table for different sample preparation conditions:
| Sample Preparation | Primary Band | Additional Bands | Interpretation |
|---|---|---|---|
| Standard extraction | 58 kDa | 110 kDa, 35 kDa | Full-length protein, dimer, degradation product |
| No reducing agent | 58 kDa, 110-120 kDa | Multiple high MW | Increased multimerization |
| Strong denaturing (8M urea) | 58 kDa | Minimal secondary bands | Disrupted interactions |
| Phosphatase treatment | 55-58 kDa | Band shift | Phosphorylation present |
When publishing results, clearly document which band is being quantified and provide evidence for its specificity to AT3G05155 .
The potential functional relationship between AT3G05155 and GRXS17 in Fe-S protein metabolism can be investigated through these experimental approaches:
Genetic interaction studies:
Generate at3g05155 grxs17 double mutants
Compare phenotypes of single and double mutants
Assess epistatic relationships through severity of growth, development, and stress response phenotypes
Perform complementation studies with wild-type and mutated versions of each gene
Biochemical interaction analysis:
Perform split-ubiquitin yeast two-hybrid assays optimized for membrane proteins
Conduct co-immunoprecipitation experiments using At3g05155 and GRXS17 antibodies
Test direct interaction using recombinant proteins in vitro
Employ bimolecular fluorescence complementation to visualize interactions in vivo
Functional metabolic studies:
Measure activity of Fe-S enzymes (e.g., aconitase, xanthine dehydrogenase) in single and double mutants
Quantify iron content and distribution using Perls' staining and ICP-MS
Analyze expression of iron homeostasis genes in response to iron availability
Examine ROS production and oxidative stress markers
Transporter activity assessment:
Measure substrate transport in heterologous expression systems (yeast, oocytes)
Compare transport activity with and without functional GRXS17
Test transport under different redox conditions
Analyze post-translational modifications that might be affected by GRXS17
A systematic experimental matrix for investigating this relationship:
| Research Question | Experimental Approach | Key Measurements | Expected Outcome if Functionally Related |
|---|---|---|---|
| Direct interaction? | Y2H, BiFC, Co-IP | Interaction signals | Positive interaction signals |
| Genetic relationship? | Double mutant analysis | Growth parameters, stress responses | Synergistic or epistatic effects |
| Fe-S metabolism impact? | Fe-S enzyme activity assays | Activity measurements | Coordinated decrease in mutants |
| Transport activity relationship? | Heterologous expression | Substrate transport rates | GRXS17-dependent regulation |
This comprehensive approach would provide multiple lines of evidence regarding whether AT3G05155 functions within the Fe-S cluster assembly/delivery pathway potentially coordinated by GRXS17. The research would contribute to understanding how membrane transport processes intersect with cellular iron homeostasis and Fe-S protein maturation pathways .
The At3g05155 antibody offers valuable opportunities to explore the intersection of sugar transport and plant immunity:
Spatial-temporal profiling during pathogen infection:
Use immunolocalization to track AT3G05155 protein redistribution during:
Early pathogen recognition (0-12 hours post-infection)
Effector-triggered immunity responses (12-24 hours)
Systemic acquired resistance development (24-72 hours)
Compare compatible vs. incompatible interactions to identify defense-specific patterns
Correlate localization changes with sugar concentration dynamics
Infection site-specific analysis:
Apply laser-capture microdissection coupled with immunoblotting to analyze:
Infected cells
Adjacent non-infected cells
Distant systemic tissues
Quantify AT3G05155 protein abundance in these distinct zones
Compare with known defense-related transporters
Co-regulation with immune signaling components:
Perform co-immunoprecipitation during infection progression to identify:
Immune receptor associations
Interactions with known defense signaling hubs
Post-translational modifications specific to defense activation
Test if immune signaling molecules directly regulate transporter activity
Functional studies in immunity contexts:
Compare defense responses in wild-type vs. at3g05155 mutants:
Pathogen growth restriction capability
Callose deposition at infection sites
ROS burst intensity and duration
PR gene expression profiles
Complement with transport-deficient protein variants
Current research on powdery mildew interactions shows a 2.4-fold increase in AT3G05155 expression during infection, suggesting its involvement in pathogen-induced metabolic reprogramming . This upregulation may reflect the plant's strategy to restrict nutrient availability to the pathogen or to redirect resources toward defense compound synthesis. The antibody enables protein-level verification of these transcriptional changes and allows investigation of potential post-translational regulation mechanisms that may fine-tune transporter activity during immune responses .
Investigating AT3G05155 protein turnover and regulation requires specialized techniques to capture the dynamic nature of membrane protein homeostasis:
Protein stability and half-life determination:
Cycloheximide chase assays: Treat plants with protein synthesis inhibitor and monitor AT3G05155 abundance over time
Pulse-chase with inducible expression systems
Quantitative western blotting with the At3g05155 antibody at defined intervals
Mathematical modeling to calculate degradation rates
Post-translational modification mapping:
Immunoprecipitate AT3G05155 using the antibody
Analyze by mass spectrometry to identify:
Phosphorylation sites
Ubiquitination
S-nitrosylation
Other redox-based modifications
Compare modification patterns under different conditions
Degradation pathway analysis:
Treat plants with specific inhibitors:
MG132 (proteasome inhibitor)
Concanamycin A (vacuolar degradation inhibitor)
E64d (cysteine protease inhibitor)
Monitor AT3G05155 abundance changes by immunoblotting
Use fluorescently tagged versions to track subcellular localization during degradation
Regulatory element identification:
Map protein domains involved in trafficking/degradation using deletion variants
Identify sequence motifs mediating endocytosis or recycling
Test chimeric proteins with domains from related stable/unstable transporters
A sample experimental workflow for AT3G05155 turnover analysis:
| Technique | Purpose | Implementation | Expected Outcome |
|---|---|---|---|
| Cycloheximide chase | Measure half-life | Western blot time course | Calculation of protein half-life (hours) |
| Proteasome inhibition | Identify degradation pathway | MG132 treatment + immunoblotting | Evidence of ubiquitin-mediated turnover |
| Phosphorylation mapping | Identify regulatory sites | IP-MS and phospho-mutant analysis | Key residues affecting stability |
| Stress response profiling | Environmental regulation | Multi-condition stability assays | Condition-specific stability profiles |
The findings from these experiments would reveal how AT3G05155 protein levels are regulated post-translationally, complementing transcriptional studies to provide a comprehensive understanding of transporter regulation under different physiological conditions .
Evolutionary analysis of AT3G05155 reveals important patterns relevant to antibody applications across species:
Conservation pattern across plant lineages:
Highly conserved in Brassicaceae (>85% amino acid identity)
Moderately conserved in other dicots (60-75% identity)
Less conserved in monocots (40-55% identity)
Limited conservation in non-vascular plants (<30% identity)
Domain-specific conservation:
Transmembrane domains: Highest conservation (70-90% across angiosperms)
Central loop region: Moderate conservation (40-60%)
N and C termini: Lowest conservation (20-40%)
MFS signature motifs: Nearly invariant across all plant species
Epitope conservation for antibody applications:
The At3g05155 antibody targets an epitope in the protein's C-terminal region
Sequence alignment reveals high conservation within Brassicaceae
Limited conservation in non-Brassicaceae species
Cross-reactivity prediction by taxon:
| Plant Group | Expected Cross-Reactivity | Experimental Validation | Alternative Approach |
|---|---|---|---|
| Arabidopsis species | Very high (>95%) | Confirmed | Direct application |
| Brassicaceae | High (80-90%) | Limited testing | Direct application with validation |
| Other dicots | Low to moderate (30-50%) | Not confirmed | Species-specific antibodies |
| Monocots | Very low (<20%) | Not detected | Species-specific antibodies |
The evolutionary conservation patterns suggest that the At3g05155 antibody would be most reliable for studies within Arabidopsis and closely related Brassicaceae. For research in other plant families, the antibody should be rigorously validated or species-specific alternatives should be developed. The highly conserved transmembrane domains could potentially serve as targets for developing broader-specificity antibodies, though this would require careful design to avoid cross-reactivity with other MFS family members.
This evolutionary context also provides insight into the functional importance of different protein regions. The high conservation of transmembrane domains suggests strong selective pressure on transport function, while the variable terminal regions may reflect species-specific regulatory adaptations.
Current hypotheses about AT3G05155 function intersect with several key metabolic pathways:
Carbon partitioning and source-sink dynamics:
Connections to iron homeostasis and Fe-S protein function:
Stress response metabolic reprogramming:
Upregulation during specific stresses indicates involvement in metabolic adaptation
May transport compatible solutes or signaling molecules during stress responses
Could facilitate resource reallocation during acclimation processes
Integration with plant development:
Expression patterns correlate with developmental transitions
Potential role in providing substrates for phase change-associated metabolic shifts
May coordinate with hormonal signaling networks regulating development
A conceptual framework connecting AT3G05155 to broader metabolic networks:
These hypotheses present several testable predictions for future research. For example, at3g05155 mutants might show altered metabolite profiles during stress responses, changed iron distribution, or modified susceptibility to biotrophic pathogens. The At3g05155 antibody would be valuable for testing these hypotheses by tracking protein abundance and localization under relevant conditions .
Several cutting-edge technologies could significantly expand the utility of At3g05155 antibodies:
Super-resolution microscopy techniques:
Stochastic optical reconstruction microscopy (STORM) can achieve 20nm resolution
DNA-PAINT approaches for multiplexed protein detection
Expansion microscopy to physically enlarge samples
Applications: Nanoscale mapping of AT3G05155 distribution in membrane microdomains
Single-cell proteomics integration:
Mass cytometry (CyTOF) with metal-conjugated At3g05155 antibodies
Microfluidic antibody-based sorting of protoplasts
Applications: Cell type-specific transporter abundance profiles across tissues
Proximity labeling approaches:
BioID or TurboID fusion proteins to identify proximal interactors
APEX2-based spatial proteomics
Applications: Mapping the dynamic AT3G05155 protein interaction network
Antibody engineering advancements:
Single-chain variable fragments for improved penetration
Split-antibody complementation assays
pH-sensitive fluorescent antibody conjugates
Applications: Real-time monitoring of trafficking in live cells
Cryo-electron microscopy applications:
Antibody-based localization in cryo-preserved samples
Structural studies using antibody fragments
Applications: Correlative light-electron microscopy of transporter complexes
Each of these technologies addresses current limitations in studying AT3G05155 biology. For example, conventional confocal microscopy lacks the resolution to determine if AT3G05155 localizes to specific membrane microdomains, which could be resolved using super-resolution approaches. Similarly, single-cell techniques would reveal cell-to-cell variation in transporter abundance that is masked in whole-tissue analyses, potentially uncovering specialized cell types with high expression .
These advanced methods, when combined with genetic tools like CRISPR-engineered variants and environmental manipulations, promise to provide unprecedented insights into the dynamic regulation and function of this transporter in plant physiology.