The At1g22960 antibody targets the pentatricopeptide repeat (PPR) superfamily protein encoded by the At1g22960 gene in Arabidopsis thaliana. This mitochondrial protein is critical for RNA editing and post-transcriptional regulation in plant organelles .
| Parameter | Details |
|---|---|
| Gene Names | At1g22960, F19G10.9, F19G10_9 |
| Protein Family | Pentatricopeptide repeat (PPR) superfamily |
| Host Species | Rabbit |
| Reactivity | Arabidopsis thaliana (Mouse-ear cress) |
| Applications | ELISA, Western Blot (WB) |
| Purification Method | Antigen-affinity chromatography |
| Isotype | IgG |
The PPR protein family is characterized by tandem repeats of 35-amino-acid motifs that facilitate sequence-specific RNA binding. The At1g22960 protein localizes to mitochondria, where it likely participates in:
RNA processing and stabilization
Organellar gene expression
Plant developmental regulation
This antibody enables detection of the endogenous protein in Arabidopsis tissues, aiding studies on mitochondrial RNA metabolism .
The antibody’s utility has been confirmed through:
Western Blot: Specific detection of the ~70 kDa At1g22960 protein in mitochondrial extracts.
ELISA: Quantification of protein expression under stress or developmental conditions.
No cross-reactivity with non-target proteins has been reported, ensuring high specificity for Arabidopsis samples .
Investigating mitochondrial RNA editing defects in Arabidopsis mutants.
Characterizing PPR protein interactions with organellar transcripts.
Mapping tissue-specific expression patterns (e.g., roots, leaves).
Assessing protein abundance during stress responses (e.g., drought, pathogens).
How to resolve discrepancies between predicted and observed AT1G22960 localization?
Stepwise approach:
Key metric: ≥90% colocalization with mitochondrial markers (e.g., COXII) required for validation.
What computational strategies predict AT1G22960 antibody-epitope interactions?
Framework:
| Method | Application | Validation Requirement |
|---|---|---|
| Biophysical modeling | Energy landscape prediction | SPR/ITC binding assays |
| Phage display libraries | Epitope mapping | Deep mutational scanning |
Reference: Machine learning models trained on multi-ligand selection data can disentangle binding modes for mitochondrial PPR proteins .
Designing antibodies to distinguish AT1G22960 from paralogs (e.g., AT1G22950):
Interpreting negative results in mitochondrial interaction studies:
Troubleshooting table:
| Issue | Diagnostic Test | Mitigation |
|---|---|---|
| Antibody penetration failure | IgG control in immunogold EM | Use freeze-thaw permeabilization |
| Transient interactions | Crosslinking-MS (e.g., DSG) | Increase temporal resolution of sampling |
Standardizing validation metrics for AT1G22960 functional studies: