At5g49945 is a gene identifier in Arabidopsis thaliana, encoding a hypothetical protein with a conserved DUF1682 (Domain of Unknown Function 1682) domain . This protein remains uncharacterized in functional studies but has been detected in proteomic analyses of plant tissues, including soybean (Glycine max) . The At5g49945 antibody is a polyclonal or monoclonal reagent designed to bind specifically to this protein for research applications, such as immunolocalization or protein quantification .
Molecular Weight: 50.8 kDa
Isoelectric Point (pI): 6.34
Gene ID: AT5G49945 (Arabidopsis thaliana)
Homologs: Detected in soybean as "Uncharacterized protein At5g49945" (UniProt ID: Q94CC0) .
At5g49945 was identified in a membrane proteomic study of soybean leaf and root tissues :
| Protein Name | Arabidopsis ID | Peptides Detected | PSMs* | MW (kDa) | pI |
|---|---|---|---|---|---|
| Uncharacterized protein | AT5G49945 | 7 | 17 | 50.8 | 6.34 |
*PSMs: Peptide Spectrum Matches.
This study highlighted its presence in membrane fractions, suggesting potential roles in cellular transport or signaling .
An antibody recognizing related proteins (MIPS1, MIPS2, MIPS3) in Arabidopsis was used to study endosperm localization, though direct evidence for At5g49945-specific localization remains unpublished .
Functional Characterization: The DUF1682 domain’s role remains undefined, necessitating knock-out studies or structural analyses .
Antibody Validation: Current data rely on cross-reactivity or indirect detection; specificity assays (e.g., Western blot) are required for validation .
Membrane Proteomics (2022): Identified At5g49945 in soybean using high-resolution mass spectrometry .
UniProt Entry: Describes At5g49945 as an uncharacterized protein with conserved domains .
BioRxiv Dataset (2023): Includes expression profiles of At5g49945 in Arabidopsis, though antibody-linked data are inferred .
At5g49945 is an uncharacterized protein in Arabidopsis thaliana (Mouse-ear cress), classified as a hypothetical protein containing a DUF1682 domain (Domain of Unknown Function) . Transcriptional analyses have shown that At5g49945 expression is upregulated approximately 2.27-fold (p=0.020) in response to salinity stress . While its precise biological function remains to be fully characterized, its differential expression under stress conditions suggests a potential role in plant stress response mechanisms. Current research indicates it may function in cellular processes related to environmental adaptation, but further functional studies are required to elucidate its specific biochemical and physiological roles.
At5g49945 antibodies have been validated for several research applications, primarily:
Western Blot (WB): For detecting At5g49945 protein expression levels and molecular weight verification
Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative detection of At5g49945 in plant extracts
When designing experiments using these antibodies, researchers should consider:
Sample preparation: Optimal extraction buffers may vary depending on subcellular localization
Antibody dilution: Typically starting at 1:1000 for Western blots, but optimization is recommended
Detection systems: Both chemiluminescent and fluorescent secondary detection systems can be employed
Controls: Include positive controls (recombinant At5g49945) and negative controls (non-expressing tissues)
Validation of At5g49945 antibody specificity requires multiple complementary approaches:
Knockout/knockdown comparison: Compare antibody reactivity in wild-type versus At5g49945 knockout/knockdown Arabidopsis lines
Recombinant protein controls: Use purified recombinant At5g49945 protein (≥85% purity) as a positive control
Peptide competition assay: Pre-incubate the antibody with the immunizing peptide to demonstrate specific blocking
Cross-species reactivity assessment: Test reactivity in related plant species to determine conservation
Multiple antibody comparison: When available, compare results using antibodies targeting different epitopes of At5g49945
For uncharacterized proteins like At5g49945, rigorous validation is particularly important as reference data may be limited.
For investigating At5g49945 protein interactions, consider these methodological approaches:
Co-Immunoprecipitation (Co-IP) Protocol:
Extract total protein from Arabidopsis tissues showing At5g49945 expression (preferably under salt stress conditions based on the 2.27-fold upregulation)
Immobilize anti-At5g49945 antibodies on protein A/G beads
Incubate with protein extracts, followed by washing steps
Elute bound proteins and analyze by mass spectrometry
Proximity Labeling Approaches:
Generate transgenic plants expressing At5g49945 fused to a proximity labeling enzyme (BioID or TurboID)
Induce biotinylation of proximal proteins
Purify biotinylated proteins using streptavidin beads
Identify interaction partners by mass spectrometry
Yeast Two-Hybrid Screening:
Clone the coding sequence of At5g49945 from Arabidopsis cDNA
Generate bait constructs with At5g49945
Screen against Arabidopsis cDNA libraries
Validate positive interactions using the rabbit polyclonal antibody against At5g49945
When facing contradictory data on At5g49945 expression:
Methodological differences assessment:
Compare detection methods (antibody-based vs. transcript-based)
Evaluate antibody specificity across studies
Consider detection sensitivity differences between techniques
Experimental conditions analysis:
Document growth conditions precisely (light intensity, photoperiod, temperature)
Note plant age and developmental stage differences
Record stress treatments in detail (duration, intensity)
Quantitative comparison framework:
| Method | Detection Limit | Potential Artifacts | Controls Required |
|---|---|---|---|
| Western blot | ~0.1 ng protein | Cross-reactivity | Recombinant protein, knockout lines |
| RT-qPCR | ~10 copies mRNA | Primer specificity | Reference genes, no-RT controls |
| RNA-seq | ~1-5 FPKM | Mapping ambiguity | External spike-ins |
| Proteomics | ~10-100 ng protein | Sample preparation bias | Multiple replicates |
Biological variation considerations:
Evaluate ecotype/accession differences
Consider unrecognized environmental variables
Assess potential post-transcriptional regulation
The 2.27-fold upregulation of At5g49945 under salinity stress provides a starting point for comparing expression data across different studies .
For immunolocalization of At5g49945:
Tissue Fixation Optimization:
Test multiple fixatives (4% paraformaldehyde, 3:1 ethanol:acetic acid)
Optimize fixation duration (30 min to 12 hours)
Consider tissue-specific penetration requirements
Antigen Retrieval Methods:
Heat-induced epitope retrieval (citrate buffer, pH 6.0)
Enzymatic retrieval (proteinase K treatment)
Evaluate retrieval necessity with controlled experiments
Antibody Concentration Titration:
Detection System Selection:
Fluorescent secondary antibodies for co-localization studies
Enzymatic detection (HRP-DAB) for stable preparations
Consider tyramide signal amplification for low-abundance proteins
Controls and Validation:
Pre-immune serum controls
Transgenic lines with tagged At5g49945 for verification
Parallel subcellular fractionation and western blotting
Sample preparation is critical for successful At5g49945 detection:
Extraction Buffer Selection:
For general extraction: 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton X-100, 1 mM EDTA
For membrane-associated proteins: Add 0.5% sodium deoxycholate
Always include protease inhibitors (PMSF, leupeptin, aprotinin)
Add phosphatase inhibitors if studying post-translational modifications
Tissue Disruption Methods:
For small samples: Bead-based homogenization in 1.5 ml tubes
For larger samples: Mortar and pestle grinding under liquid nitrogen
Homogenization buffer ratio: 3 ml buffer per gram of tissue
Protein Extraction Optimization:
Extract at 4°C to prevent degradation
Include 5 mM DTT to maintain reduced state
Centrifuge at different speeds to separate cellular fractions
Consider sequential extraction for comprehensive coverage
Sample Storage Considerations:
Flash-freeze aliquots in liquid nitrogen
Store at -80°C for long-term preservation
Avoid repeated freeze-thaw cycles
Include carrier proteins for dilute samples
For low-abundance protein detection:
Enrichment Strategies:
Signal Enhancement Techniques:
Extended exposure times for chemiluminescent detection
High-sensitivity fluorescent secondary antibodies
Biotin-streptavidin amplification systems
Enhanced chemiluminescent substrates (femtogram sensitivity)
Sample Loading Optimization:
Increase protein loading (up to 50-100 μg per lane)
Use gradient gels for better separation
Select appropriate gel percentage based on protein size
Consider specialized low-protein-binding materials
Detection System Selection:
| Detection Method | Sensitivity | Dynamic Range | Advantages |
|---|---|---|---|
| Chemiluminescence | pg range | 2-3 orders | Simple, widely used |
| Fluorescence | low ng range | 4-5 orders | Multiplexing capability |
| Infrared | pg range | 4-5 orders | Low background, stable signal |
| Colorimetric | high ng range | 1-2 orders | No specialized equipment |
Given the observed 2.27-fold upregulation under salt stress , these approaches can help determine functional relevance:
Genetic Manipulation Approaches:
Generate knockout/knockdown lines using CRISPR-Cas9 or T-DNA insertion
Create overexpression lines under constitutive or inducible promoters
Develop complementation lines for rescue experiments
Design epitope-tagged versions for protein tracking
Stress Response Phenotyping:
Evaluate growth parameters under varying salt concentrations
Measure physiological responses (photosynthetic efficiency, ROS production)
Compare stress hormone levels (ABA, ethylene, jasmonate)
Assess recovery kinetics after stress removal
Transcriptional Network Analysis:
Perform RNA-seq on wild-type vs. mutant lines under stress conditions
Identify differentially expressed genes in stress response pathways
Use the anti-At5g49945 antibody for ChIP-seq if DNA interactions are suspected
Validate key interactions with qPCR and western blotting
Interactome Mapping:
Identify stress-specific interaction partners
Compare interactomes under normal and stress conditions
Validate interactions with multiple methodologies
Correlate protein-protein interactions with expression patterns
Several cutting-edge approaches hold potential for At5g49945 characterization:
Advanced Imaging Techniques:
Super-resolution microscopy for precise localization
FRET/FLIM for in vivo interaction studies
Live-cell imaging with split fluorescent proteins
Correlative light and electron microscopy for ultrastructural context
Protein Structure Determination:
Cryo-EM for native structure determination
Integrative structural biology approaches
AlphaFold2 and related AI prediction tools
Hydrogen-deuterium exchange mass spectrometry
Single-Cell Technologies:
Single-cell proteomics for cell-type specific expression
CITE-seq for combined protein and transcript profiling
Spatial transcriptomics correlated with immunolocalization
Single-cell metabolomics for functional consequences
CRISPR-Based Technologies:
CRISPR activation/repression for controlled expression
Base editing for specific amino acid alterations
CRISPR screens for functional network mapping
CUT&Tag for protein-DNA interaction mapping
Strategic collaboration approaches for At5g49945 research:
Resource Sharing Frameworks:
Deposit validated reagents in public repositories
Share transgenic lines through stock centers
Document antibody validation data comprehensively
Establish common experimental protocols
Multi-Omics Integration Strategies:
Combine transcriptomics, proteomics, and metabolomics data
Correlate protein expression with physiological parameters
Integrate structural predictions with functional studies
Develop computational models of stress response networks
Community Standard Development:
Standardize stress treatment protocols
Establish common physiological measurements
Agree on reference accessions for comparative studies
Define consensus validation criteria for antibodies
Collaborative Research Design:
Coordinate complementary expertise (molecular biology, physiology, computational)
Design multi-lab replication studies
Develop centralized data repositories
Implement metadata standards for experimental conditions