Your browser doesn't support javascript.
loading
New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods.
Kacsoh, Balint Z; Barton, Stephen; Jiang, Yuxiang; Zhou, Naihui; Mooney, Sean D; Friedberg, Iddo; Radivojac, Predrag; Greene, Casey S; Bosco, Giovanni.
Afiliación
  • Kacsoh BZ; Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA.
  • Barton S; Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA.
  • Jiang Y; Department of Computer Science, Indiana University, Bloomington, IN.
  • Zhou N; Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa 50011.
  • Mooney SD; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA.
  • Friedberg I; Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa 50011.
  • Radivojac P; College of Computer and Information Science, Northeastern University, Boston, MA.
  • Greene CS; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, PA, 19104.
  • Bosco G; Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA giovanni.bosco@dartmouth.edu.
G3 (Bethesda) ; 9(1): 251-267, 2019 01 09.
Article en En | MEDLINE | ID: mdl-30463884
ABSTRACT
A major bottleneck to our understanding of the genetic and molecular foundation of life lies in the ability to assign function to a gene and, subsequently, a protein. Traditional molecular and genetic experiments can provide the most reliable forms of identification, but are generally low-throughput, making such discovery and assignment a daunting task. The bottleneck has led to an increasing role for computational approaches. The Critical Assessment of Functional Annotation (CAFA) effort seeks to measure the performance of computational methods. In CAFA3, we performed selected screens, including an effort focused on long-term memory. We used homology and previous CAFA predictions to identify 29 key Drosophila genes, which we tested via a long-term memory screen. We identify 11 novel genes that are involved in long-term memory formation and show a high level of connectivity with previously identified learning and memory genes. Our study provides first higher-order behavioral assay and organism screen used for CAFA assessments and revealed previously uncharacterized roles of multiple genes as possible regulators of neuronal plasticity at the boundary of information acquisition and memory formation.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cuerpos Pedunculados / Proteínas de Drosophila / Drosophila melanogaster Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: G3 (Bethesda) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cuerpos Pedunculados / Proteínas de Drosophila / Drosophila melanogaster Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: G3 (Bethesda) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos