RR3 antibody appears in multiple research contexts. The Santa Cruz Biotechnology COX4I2 (RR3) Antibody (sc-100522) is a mouse IgG 2a κ monoclonal antibody that recognizes amino acids 21-105 of human COX4I2 . In immunology research, RR3 refers to a series of rat monoclonal antibodies (RR3-15, RR3-16, and RR3-18) that were established by fusing spleen cells from rats immunized with male antigen-specific cytolytic T cell clone OH6 to mouse myeloma cells . In plant science, RR3 antibodies specifically target rice proteins .
RR3 antibodies demonstrate utility across multiple experimental techniques. The COX4I2 (RR3) antibody from Santa Cruz Biotechnology is validated for Western blot (WB), immunoprecipitation (IP), immunofluorescence (IF), immunohistochemistry on paraffin-embedded samples (IHC-P), and ELISA applications . Plant-specific RR3 antibodies from suppliers such as CUSABIO, Biorbyt, and MyBioSource are primarily validated for Western blot and ELISA techniques . The T-cell receptor-specific RR3 monoclonal antibodies were validated through immunoprecipitation studies, where each antibody successfully precipitated a 90 kDa disulfide-linked heterodimer characteristic of the TCR .
The species reactivity of RR3 antibodies varies depending on the specific variant:
| RR3 Antibody Type | Species Reactivity | Supplier | Applications |
|---|---|---|---|
| COX4I2 (RR3) Antibody | Human | Santa Cruz Biotechnology | WB, IP, IF, IHC-P, ELISA |
| RR3 Antibody | Rice/Plant | CUSABIO | WB, ELISA |
| RR3 Antibody | Rice/Plant | Biorbyt | WB, ELISA |
| Rabbit Anti-RR3 Antibody | Rice | MyBioSource | WB, ELISA |
| RR3-15, RR3-16, RR3-18 mAbs | Mouse | Research antibodies | T cell receptor studies |
This diversity highlights the importance of selecting the appropriate RR3 antibody variant for your specific experimental system .
The RR3-16 monoclonal antibody has demonstrated particular value in T cell research. Surface immunofluorescence staining experiments revealed that RR3-16 reacts with both the OH6 T cell clone and a minor fraction of normal T cells. This reactivity was linked to the expression of a gene in the V alpha 3 family of T cell receptors . Notably, RR3-16 does not react with all T cell lines and clones known to express genes from the V alpha 3 family, indicating specificity for a single member of the TCR V alpha 3 gene family . This makes RR3-16 particularly valuable for studying specific T cell receptor variants.
For optimal Western blotting results with RR3 antibodies, researchers should implement the following protocol optimizations:
Sample preparation: For COX4I2 detection, mitochondrial enrichment protocols improve signal detection. For plant samples, use extraction buffers containing protease inhibitors to prevent degradation.
Electrophoresis conditions: Use reducing conditions with COX4I2 (RR3) antibody. The disulfide-linked heterodimer recognized by RR3 TCR antibodies requires careful consideration of reducing versus non-reducing conditions.
Transfer parameters: Optimize transfer time and voltage based on protein size (COX4I2 is approximately 20 kDa; TCR heterodimers are approximately 90 kDa).
Blocking and antibody dilution: Titrate antibody concentration starting from manufacturer recommendations (Santa Cruz COX4I2 RR3 antibody is supplied at 100 μg/ml).
Detection methods: Choose chemiluminescence for highest sensitivity when working with low-abundance proteins like TCR variants .
Analysis of RR3-16+ TCR expression in CD4+ and CD8+ T cell subsets revealed a striking preferential expression on CD8+ T cells, suggesting regulated expression of this particular TCR V alpha gene . This finding has significant implications for understanding:
T cell development and lineage commitment processes
Potential role of specific TCR V alpha genes in cytotoxic T cell function
Possible applications in tracking specific CD8+ T cell populations in immune responses
Insights into how TCR gene expression may influence CD4/CD8 lineage decisions
The preferential expression pattern suggests that RR3-16 could serve as a valuable marker for studying specific cytotoxic T cell populations in various immunological contexts .
CRISPR/Cas9 technology offers powerful complementary approaches to antibody-based detection of proteins like COX4I2. Santa Cruz Biotechnology provides several CRISPR tools for COX4I2 research:
| CRISPR Tool | Catalog Number | Species | Application | Marker |
|---|---|---|---|---|
| CRISPR/Cas9 KO Plasmid | sc-410207 | Human | Gene Knockout | GFP |
| HDR Plasmid | sc-410207-HDR | Human | Homology Directed Repair | Puromycin |
| Double Nickase Plasmid | sc-410207-NIC | Human | Gene Knockout | Puromycin |
| CRISPR Activation Plasmid | sc-410207-ACT | Human | Gene Activation | Puro, Blast, Hygro |
These tools enable researchers to:
Generate knockout cell lines to validate antibody specificity
Create cellular models to study protein function
Introduce specific mutations to study structure-function relationships
Upregulate protein expression for enhanced detection or functional studies
The combination of CRISPR genetic manipulation with RR3 antibody-based detection provides a comprehensive approach to protein characterization .
For reliable results in immunohistochemistry or immunofluorescence experiments with RR3 antibodies, the following controls are essential:
Negative controls:
Primary antibody omission
Isotype-matched irrelevant antibody (mouse IgG 2a κ for COX4I2 RR3)
Antigen-negative tissues/cells
Positive controls:
Tissues/cells known to express the target (lung tissue is enriched for COX4I2)
Cell lines overexpressing the target protein
Specificity controls:
CRISPR knockout samples
siRNA knockdown samples
Peptide competition/blocking experiments
Co-localization controls:
For COX4I2, co-staining with mitochondrial markers
For TCR studies, co-staining with CD3 or other T cell markers
These controls ensure that staining patterns reflect true protein localization rather than technical artifacts .
Third-generation antibody discovery methods using in silico rational design represent a significant advancement in antibody technology. These computational approaches complement traditional in vivo and in vitro methods by:
Enabling epitope mapping and accessibility prediction
Modeling antibody-antigen interactions to optimize binding affinity
Predicting potential cross-reactivity with related proteins
Design of humanized antibodies with reduced immunogenicity
A method called "Modular" implements rational design of antibodies in a modular manner, offering significant opportunities for antibody engineering . For RR3 antibodies, computational approaches could theoretically improve:
Specificity for distinguishing between closely related TCR V alpha family members
Binding affinity for enhanced detection of low-abundance targets
Performance in challenging applications like live-cell imaging
These advances highlight how computational tools are transforming antibody development beyond traditional hybridoma technology .
The remarkable specificity of RR3-16 for a single member of the TCR V alpha 3 gene family can be explained through molecular characterization studies. cDNA sequence analysis of three independent RR3-16+ T cell hybridomas using polymerase chain reaction revealed sequences identical to the previously published V alpha 3 sequence of the CTL clone C9 . This suggests that RR3-16 recognizes a unique epitope configuration present in only this particular V alpha 3 variant.
Several mechanisms may contribute to this specificity:
Recognition of specific amino acid residues in complementarity-determining regions (CDRs)
Conformation-dependent epitope formed by the three-dimensional folding of the protein
Possible recognition of a junction region between V alpha 3 and joining segments
Potential involvement of post-translational modifications specific to this TCR variant
This level of specificity makes RR3-16 an exceptionally valuable reagent for studying TCR diversity and T cell subset distribution .