The term "OsI_030282 Antibody" does not appear in any of the indexed scientific publications, regulatory filings, or antibody databases reviewed, including:
Clinical trial registries (e.g., ClinicalTrials.gov)
No matches were identified for this designation in the context of structure, target antigen, clinical applications, or research data.
Antibodies are often designated using standardized naming conventions (e.g., INN/WHO guidelines). The format "OsI_030282" does not align with established nomenclature systems for monoclonal antibodies, which typically include:
Prefix: Indicates source or target (e.g., rituximab targets CD20).
Infixed target: For bispecific antibodies (e.g., amivantamab targets EGFR and c-MET).
"OsI_030282" may represent:
An internal research identifier from a private entity.
A discontinued or preclinical candidate not yet published.
A misspelled or mistranscribed name (e.g., confusion with catalog numbers like NBP2-52682APC or H00006428-M08 ).
To resolve ambiguities and identify relevant data, consider the following steps:
| Action | Purpose |
|---|---|
| Cross-reference with antibody databases (e.g., The Antibody Society, UniProt) | Confirm naming conventions and structural data. |
| Contact manufacturers (e.g., Bio-Techne, Creative Biolabs) | Clarify catalog numbers or proprietary identifiers. |
| Review patent filings (e.g., USPTO, WIPO) | Identify undisclosed developmental candidates. |
While "OsI_030282" remains unidentified, the following antibodies from the search results highlight naming conventions and therapeutic applications:
| Antibody | Brand Name(s) | Key Applications |
|---|---|---|
| Rituximab | Rituxan, Truxima | Non-Hodgkin’s lymphoma, rheumatoid arthritis |
| Ofatumumab | Kesimpta | Multiple sclerosis, chronic lymphocytic leukemia |
Though unrelated to "OsI_030282," the search results emphasize how antibody diversity is generated:
OsI_030282 is an uncharacterized protein from Oryza sativa subsp. indica (Rice) with the UniProt accession number A2Z139. The commercially available antibody (product code CSB-PA386120XA01OFF) is a rabbit-raised polyclonal antibody generated using recombinant OsI_030282 protein as the immunogen. This antibody is supplied in liquid form containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. It has been purified using antigen affinity chromatography and validated for ELISA and Western Blot applications .
Key specifications include:
Isotype: IgG
Clonality: Polyclonal
Host species: Rabbit
Target species reactivity: Oryza sativa subsp. indica (Rice)
Applications: ELISA, Western Blot (WB)
Storage conditions: -20°C or -80°C
For maximum stability and activity retention, the OsI_030282 Antibody should be stored at -20°C or -80°C immediately upon receipt. Repeated freeze-thaw cycles should be strictly avoided as they can compromise antibody functionality and specificity. For laboratory use, it is recommended to aliquot the antibody into smaller volumes based on experimental needs to minimize freeze-thaw events .
Handling recommendations:
Thaw antibody aliquots on ice or at 4°C
Prepare working dilutions fresh before each experiment
Return unused antibody to -20°C promptly
For short-term storage (1-2 weeks), antibody can be kept at 4°C
Avoid exposure to light when using fluorescently-labeled secondary antibodies
When using OsI_030282 Antibody for Western blot applications, researchers should follow this methodological approach for optimal results:
Sample preparation:
Extract proteins from rice tissues using appropriate lysis buffer (e.g., RIPA buffer with protease inhibitors)
Quantify protein concentration using Bradford or BCA assay
Denature samples with Laemmli buffer (containing SDS and β-mercaptoethanol) at 95°C for 5 minutes
Load 25-50 μg protein per lane on SDS-PAGE gel
Western blot procedure:
Separate proteins by SDS-PAGE (10-12% acrylamide gel recommended)
Transfer to PVDF or nitrocellulose membrane (wet transfer at 100V for 1 hour or 30V overnight)
Block membrane with 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Incubate with primary antibody (OsI_030282 Antibody) at 1:500-1:1000 dilution overnight at 4°C
Wash 3-5 times with TBST, 5 minutes each
Incubate with HRP-conjugated secondary antibody at 1:5000-1:10000 for 1 hour at room temperature
Wash 3-5 times with TBST, 5 minutes each
Develop using ECL substrate and detect signal using X-ray film or digital imaging system
For enhanced detection specificity, include positive control (rice extract known to express OsI_030282) and negative control (non-rice plant extract) .
Verification of antibody specificity is crucial for experimental validity. For OsI_030282 Antibody, implement these multi-faceted verification strategies:
Peptide competition assay:
Pre-incubate the antibody with 5-10× excess of recombinant OsI_030282 protein (immunogen) for 2 hours at room temperature
In parallel, prepare normal antibody dilution without competing peptide
Perform Western blot with both preparations
Specific signal should be significantly reduced or eliminated in the peptide-blocked sample
Genetic validation:
If available, use RNAi knockdown or CRISPR knockout lines for OsI_030282
Compare antibody reactivity between wild-type and modified samples
Signal should be proportionally reduced in knockdown lines or absent in knockout lines
Cross-species reactivity assessment:
Test antibody against protein extracts from related plant species with known sequence homology to OsI_030282
Signal intensity should correlate with sequence conservation
Unexpected cross-reactivity may indicate non-specific binding
Molecular weight verification:
Compare observed band size with predicted molecular weight of OsI_030282
Account for potential post-translational modifications that may alter migration patterns
Multiple bands may indicate isoforms, degradation products, or non-specific binding
Successful immunoprecipitation (IP) with OsI_030282 Antibody requires careful optimization of multiple parameters:
Lysis buffer selection:
For protein-protein interaction studies: Use non-denaturing buffers (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate)
For PTM analysis: Consider denaturing conditions (1% SDS with subsequent dilution before IP)
Always include protease inhibitors and phosphatase inhibitors (if studying phosphorylation)
Antibody coupling approaches:
Direct coupling: Pre-immobilize antibody to protein A/G beads using crosslinkers (e.g., BS3, DSS)
Indirect coupling: Add antibody to lysate followed by protein A/G beads
For high background: Consider pre-clearing lysate with protein A/G beads before adding antibody
Optimization parameters:
Antibody amount: Test 2-10 μg per mg of protein lysate
Incubation time: 2 hours at room temperature vs. overnight at 4°C
Wash stringency: Adjust salt concentration (150-500 mM NaCl) and detergent (0.1-1% NP-40)
| Issue | Potential Causes | Recommended Solutions |
|---|---|---|
| No target protein recovery | Insufficient antibody, epitope masking, harsh lysis conditions | Increase antibody amount, try different lysis buffers, verify protein expression |
| High background | Insufficient washing, non-specific binding | Increase wash stringency, add BSA to washing buffer, pre-clear lysate |
| Co-IP failure | Buffer incompatibility, weak interactions | Test milder detergents, shorter washing times, crosslinking before lysis |
| Contaminating bands | Antibody heavy/light chains | Use HRP-conjugated secondary antibodies specific to light chain, employ antibody crosslinking |
Mass spectrometry-based characterization of OsI_030282-containing complexes provides deeper insights into protein function. Follow this methodological approach:
Sample preparation workflow:
Perform immunoprecipitation as described above, scaling up 5-10× for adequate protein recovery
Elute proteins under mild conditions to maintain complex integrity (e.g., peptide competition or low pH glycine buffer)
Concentrate sample using TCA precipitation or centrifugal filters
Resolve complex components by SDS-PAGE and visualize with colloidal Coomassie or silver staining
Mass spectrometry preparation:
Excise bands of interest or process entire lanes using in-gel digestion with trypsin
Extract peptides and desalt using C18 spin columns
Analyze by LC-MS/MS using appropriate acquisition methods (e.g., data-dependent acquisition)
Data analysis strategy:
Search raw data against appropriate rice protein database
Filter results using strict criteria (FDR <1%)
Use appropriate controls (IP with non-specific IgG) to exclude non-specific binders
Implement quantitative approaches (spectral counting, MS1 intensity, or labeled methods) to assess enrichment
Verification of interactions:
Confirm key interactions by reciprocal IP using antibodies against identified partners
Validate biological relevance through functional assays
Consider orthogonal methods (e.g., proximity ligation assay, BiFC) for in vivo validation
Investigation of post-translational modifications (PTMs) requires specialized strategies:
Phosphorylation analysis:
Immunoprecipitate OsI_030282 from plants treated with or without relevant stimuli
Resolve by SDS-PAGE and detect phosphorylation by:
Western blot using phospho-specific stains (Pro-Q Diamond)
Western blot with phospho-amino acid specific antibodies (p-Ser, p-Thr, p-Tyr)
For site identification, digest IP products and enrich phosphopeptides using:
Immobilized metal affinity chromatography (IMAC)
Titanium dioxide (TiO2) enrichment
Analyze enriched fractions by LC-MS/MS with neutral loss scanning or data-dependent acquisition
Ubiquitination detection:
Add deubiquitinase inhibitors to lysis buffer (e.g., N-ethylmaleimide, PR-619)
Perform IP under denaturing conditions to preserve ubiquitin modifications
Analyze by Western blot using anti-ubiquitin antibodies
For site identification, look for the characteristic GG remnant on lysine residues by MS
Glycosylation assessment:
Treat immunoprecipitated OsI_030282 with glycosidases (PNGase F for N-linked, O-glycosidase for O-linked)
Analyze mobility shifts by Western blot
For glycan profiling, use specialized MS approaches or lectin arrays
| PTM Type | Detection Method | Advantages | Limitations | Sensitivity |
|---|---|---|---|---|
| Phosphorylation | Phospho-stains, MS | Site-specific information, quantifiable | Requires enrichment, transient nature | Medium-High |
| Ubiquitination | Anti-Ub WB, MS | Can distinguish poly-Ub chains, site identification | Highly dynamic, prone to degradation | Medium |
| Glycosylation | Glycosidase shifts, lectin blots | Distinguishes N- vs O-linked, glycan composition | Complex structures, heterogeneity | Low-Medium |
| Acetylation | Anti-acetyl WB, MS | Site-specific, functional significance | Often substoichiometric | Medium |
If investigating potential DNA interactions of OsI_030282, consider this optimized ChIP protocol:
Chromatin preparation:
Crosslink rice tissues with 1% formaldehyde for 10 minutes under vacuum
Quench with 0.125 M glycine for 5 minutes
Isolate nuclei using appropriate extraction buffer
Shear chromatin to 200-500 bp fragments using sonication (optimize cycles for rice tissues)
Verify fragmentation efficiency by agarose gel electrophoresis of decrosslinked aliquot
Immunoprecipitation:
Pre-clear chromatin with protein A/G beads and non-specific IgG
Divide chromatin into experimental (OsI_030282 Antibody) and control (IgG) samples
Incubate with antibodies overnight at 4°C with rotation
Add protein A/G beads and incubate for 2-3 hours
Perform sequential washes with increasing stringency:
Low salt buffer (150 mM NaCl)
High salt buffer (500 mM NaCl)
LiCl buffer
TE buffer
DNA recovery and analysis:
Elute protein-DNA complexes and reverse crosslinks (65°C overnight)
Digest proteins with proteinase K
Purify DNA using phenol-chloroform extraction or commercial kits
Quantify enrichment by qPCR for candidate regions
For genome-wide profiling, prepare libraries for ChIP-seq
Bioinformatic analysis:
Align sequencing reads to rice genome
Identify enriched regions (peaks) using appropriate algorithms
Perform motif discovery to identify potential binding sequences
Correlate binding sites with gene expression data
When facing variable OsI_030282 detection across rice varieties, implement these systematic approaches:
Technical validation:
Sequence the OsI_030282 gene from each variety to identify potential polymorphisms
Compare protein sequence variations in the antibody epitope region
Standardize protein extraction protocols across all samples:
Use identical buffer compositions
Process tissues at the same developmental stage
Maintain consistent sample-to-buffer ratios
Include multiple housekeeping controls (e.g., actin, tubulin, GAPDH)
Perform reciprocal experiments with different antibody lots if available
Complementary methodologies:
Correlate protein detection (Western blot) with transcript levels (RT-qPCR)
Develop variety-specific qPCR primers spanning polymorphic regions
Consider raising new antibodies against conserved epitopes if necessary
Use mass spectrometry for orthogonal verification:
Target peptides from conserved regions
Apply multiple reaction monitoring (MRM) for quantification
Biological interpretation framework:
Document comprehensive metadata:
Precise growth conditions (temperature, light, humidity)
Developmental stage using standardized scales
Tissue-specific sampling procedures
Consider protein turnover dynamics:
Perform cycloheximide chase assays to measure stability
Compare protein half-life across varieties
Investigate post-transcriptional regulation:
miRNA targeting differences
RNA secondary structure variations
Statistical approach:
Implement factorial experimental design
Perform multi-way ANOVA to assess variety × condition interactions
Use mixed-effects models to account for batch variation
To investigate OsI_030282 function in stress responses, implement this multi-layered experimental design:
Expression profiling under stress conditions:
Subject rice plants to relevant stresses:
Abiotic: drought, salinity, temperature extremes, nutrient deficiency
Biotic: pathogen infection, herbivory
Collect tissues at multiple timepoints (early: 0, 1, 3, 6 hours; late: 12, 24, 48, 72 hours)
Analyze OsI_030282 expression by:
Western blot with OsI_030282 Antibody
RT-qPCR for transcript levels
Immunolocalization to assess subcellular redistribution
Functional genomics approaches:
Generate transgenic rice with modified OsI_030282 expression:
Overexpression lines (constitutive and stress-inducible promoters)
RNAi knockdown or CRISPR knockout lines
Phenotype plants under control and stress conditions:
Morphological parameters
Physiological responses
Yield components
Compare stress sensitivity/tolerance between transgenic and wild-type plants
Protein interaction dynamics:
Perform Co-IP with OsI_030282 Antibody under control and stress conditions
Identify differential interactors by mass spectrometry
Validate key interactions using BiFC or split luciferase assays
Map interaction domains through deletion constructs
PTM dynamics:
Analyze stress-induced PTM changes:
Phosphorylation state using Phos-tag gels
Ubiquitination patterns
Subcellular localization shifts
Identify responsible enzymes (kinases, E3 ligases)
Generate phosphomimic and phosphonull mutants to assess functional significance
| Experimental Level | Control Data | Stress Treatment Data | Analytical Methods | Expected Insights |
|---|---|---|---|---|
| Transcript | Basal expression | Temporal induction patterns | RT-qPCR, RNA-Seq | Transcriptional regulation |
| Protein | Abundance, localization | Changes in levels, redistribution | Western blot, IF | Post-transcriptional control |
| Interactome | Constitutive partners | Stress-specific interactions | Co-IP, MS, BiFC | Functional complexes |
| PTMs | Basal modification state | Stress-induced changes | MS, Phos-tag, WB | Regulatory mechanisms |
| Phenotype | Normal development | Stress response alterations | Physiology, yield components | Functional significance |
Integrating multiple data types requires careful consideration of each method's strengths and limitations:
Data normalization approaches:
For Western blot quantification:
Use multiple housekeeping controls
Apply densitometry with linear range validation
Implement technical replicates (minimum of three)
For RNA-Seq data:
Consider appropriate normalization methods (TPM, FPKM, etc.)
Account for batch effects using ComBat or similar tools
Validate key findings with RT-qPCR
For proteomics data:
Evaluate different normalization strategies (global, spike-in, housekeeping)
Consider both spectral counting and intensity-based approaches
Assess technical and biological variance components
Correlation analysis framework:
Examine relationship between:
Transcript level (RNA-Seq) and protein abundance (Western blot/proteomics)
Antibody-based quantification and MS-based quantification
Calculate correlation coefficients using appropriate methods:
Pearson's r for linear relationships
Spearman's ρ for non-linear relationships
Visualize relationships with scatter plots and regression analysis
Investigate outliers as potential cases of post-transcriptional regulation
Addressing methodological biases:
Antibody limitations:
Epitope accessibility variations
Cross-reactivity with homologs
Limited dynamic range
RNA-Seq considerations:
RNA extraction efficiency differences
GC content bias
Read mapping ambiguity for close homologs
Proteomics challenges:
Protein extraction bias
Peptide ionization efficiency
Missing values in low-abundance proteins
Integration strategies:
Develop a consensus dataset using rank-based methods
Apply pathway analysis to identify shared functional enrichment
Use multi-omics integration tools (e.g., mixOmics, MOFA)
Consider time delays between transcription and translation when comparing dynamic responses
Future research on OsI_030282 is likely to expand in several promising directions based on current knowledge of uncharacterized plant proteins. These include comprehensive functional genomics approaches using CRISPR-Cas9 technology to generate precise mutations, advanced protein structure analysis through cryo-electron microscopy, and integrative systems biology approaches to place OsI_030282 within broader cellular networks. The continuing development of more specific antibodies and their application in cutting-edge single-cell analyses will likely yield new insights into tissue-specific functions and developmental regulation of this protein.