TAF14
Gene Ontology Biological Process
- RNA polymerase II transcriptional preinitiation complex assembly [IC]
- chromatin remodeling [IC]
- histone acetylation [IDA]
- nucleosome mobilization [IDA]
- promoter clearance from RNA polymerase II promoter [IC]
- transcription elongation from RNA polymerase II promoter [IC]
- transcription from RNA polymerase II promoter [IDA]
- transcription initiation from RNA polymerase II promoter [IDA]
- transcriptional start site selection at RNA polymerase II promoter [IC]
Gene Ontology Molecular Function- DNA translocase activity [IDA]
- RNA polymerase II core promoter sequence-specific DNA binding transcription factor activity involved in preinitiation complex assembly [IC]
- core RNA polymerase II binding transcription factor activity [IDA]
- core RNA polymerase II recruiting transcription factor activity [IC]
- DNA translocase activity [IDA]
- RNA polymerase II core promoter sequence-specific DNA binding transcription factor activity involved in preinitiation complex assembly [IC]
- core RNA polymerase II binding transcription factor activity [IDA]
- core RNA polymerase II recruiting transcription factor activity [IC]
Gene Ontology Cellular Component
- Ino80 complex [IDA, IPI]
- NuA3 histone acetyltransferase complex [IDA]
- NuA3a histone acetyltransferase complex [IDA]
- NuA3b histone acetyltransferase complex [IDA]
- SWI/SNF complex [IDA, IPI]
- mediator complex [IPI]
- nucleus [IDA]
- transcription factor TFIID complex [IDA]
- transcription factor TFIIF complex [IDA, IPI]
SPT21
Gene Ontology Biological Process
Negative Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores.
Publication
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.
Defining the functional relationships between proteins is critical for understanding virtually all aspects of cell biology. Large-scale identification of protein complexes has provided one important step towards this goal; however, even knowledge of the stoichiometry, affinity and lifetime of every protein-protein interaction would not reveal the functional relationships between and within such complexes. Genetic interactions can provide functional information that ... [more]
Quantitative Score
- -3.327769 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) analysis was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score > 2.5 for positive interactions (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SPT21 TAF14 | Affinity Capture-MS Affinity Capture-MS 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 is identified by mass spectrometric methods. | High | - | BioGRID | 1028113 |
Curated By
- BioGRID