AT1G55460
SPL7
Gene Ontology Biological Process
Gene Ontology Molecular Function
PCA
A Protein-Fragment Complementation Assay (PCA) is a protein-protein interaction assay in which a bait protein is expressed as fusion to one of the either N- or C- terminal peptide fragments of a reporter protein and prey protein is expressed as fusion to the complementary N- or C- terminal fragment of the same reporter protein. Interaction of bait and prey proteins bring together complementary fragments, which can then fold into an active reporter, e.g. the split-ubiquitin assay.
Publication
A conserved KIN17 curved DNA-binding domain protein assembles with SPL7 to adapt Arabidopsis growth and development to limiting copper availability.
Proper copper homeostasis is required by living organisms to maintain essential cellular functions. In the model plant Arabidopsis thaliana, the SPL7 transcription factor participates in reprogramming global gene expression during Cu insufficiency in order to improve the metal uptake and prioritize its distribution to Cu-proteins of major importance. As a consequence, spl7 null mutants show morphological and physiological disorders during ... [more]
Throughput
- Low Throughput
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
AT1G55460 SPL7 | Affinity Capture-Western Affinity Capture-Western An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner identified by Western blot with a specific polyclonal antibody or second epitope tag. This category is also used if an interacting protein is visualized directly by dye stain or radioactivity. Note that this differs from any co-purification experiment involving affinity capture in that the co-purification experiment involves at least one extra purification step to get rid of potential contaminating proteins. | Low | - | BioGRID | - |
Curated By
- BioGRID