Positive Genetic

Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores.

Publication

Mapping the Genetic Landscape of Human Cells.

Horlbeck MA, Xu A, Wang M, Bennett NK, Park CY, Bogdanoff D, Adamson B, Chow ED, Kampmann M, Peterson TR, Nakamura K, Fischbach MA, Weissman JS, Gilbert LA

Seminal yeast studies have established the value of comprehensively mapping genetic interactions (GIs) for inferring gene function. Efforts in human cells using focused gene sets underscore the utility of this approach, but the feasibility of generating large-scale, diverse human GI maps remains unresolved. We developed a CRISPR interference platform for large-scale quantitative mapping of human GIs. We systematically perturbed 222,784 ... [more]

Cell Jul. 17, 2018; (); [Pubmed: 30033366]

Quantitative Score

  • 4.899664701 [Confidence Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: growth abnormality (HP:0001507)
  • cell type: jurkat cell (BTO:0000661)

Additional Notes

  • CRISPR GI screen
  • Cell Line: K562 EFO:0002067/Jurkat EFO:0002796
  • Experimental Setup: Timecourse
  • GIST: A-phenotypic negative/positive genetic interaction
  • Interactions in this CRISPR interference (CRISPRi) analysis were considered to be significant when GI <= -3 (negative genetic interaction) or GI >= 3 (positive genetic interaction).
  • Jurkat cell line Replicate Average GI score = 4.899664701
  • Library: CRISPRi v1
  • Significance Threshold: (positive genetic interaction) 3

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
AURKA AURKA
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
-
AURKA AURKA
Biochemical Activity
Biochemical Activity

An interaction is inferred from the biochemical effect of one protein upon another, for example, GTP-GDP exchange activity or phosphorylation of a substrate by a kinase. The bait protein executes the activity on the substrate hit protein. A Modification value is recorded for interactions of this type with the possible values Phosphorylation, Ubiquitination, Sumoylation, Dephosphorylation, Methylation, Prenylation, Acetylation, Deubiquitination, Proteolytic Processing, Glucosylation, Nedd(Rub1)ylation, Deacetylation, No Modification, Demethylation.

Low-BioGRID
3304030
AURKA AURKA
Biochemical Activity
Biochemical Activity

An interaction is inferred from the biochemical effect of one protein upon another, for example, GTP-GDP exchange activity or phosphorylation of a substrate by a kinase. The bait protein executes the activity on the substrate hit protein. A Modification value is recorded for interactions of this type with the possible values Phosphorylation, Ubiquitination, Sumoylation, Dephosphorylation, Methylation, Prenylation, Acetylation, Deubiquitination, Proteolytic Processing, Glucosylation, Nedd(Rub1)ylation, Deacetylation, No Modification, Demethylation.

Low-BioGRID
838634
AURKA AURKA
Biochemical Activity
Biochemical Activity

An interaction is inferred from the biochemical effect of one protein upon another, for example, GTP-GDP exchange activity or phosphorylation of a substrate by a kinase. The bait protein executes the activity on the substrate hit protein. A Modification value is recorded for interactions of this type with the possible values Phosphorylation, Ubiquitination, Sumoylation, Dephosphorylation, Methylation, Prenylation, Acetylation, Deubiquitination, Proteolytic Processing, Glucosylation, Nedd(Rub1)ylation, Deacetylation, No Modification, Demethylation.

Low-BioGRID
2600227

Curated By

  • BioGRID