While our current work provides a functional framework for the participation of PACSIN in tissue development, in the future, this type of single cell-based analysis coupled with MO-mediated translational silencing could provide greater mechanistic insight into PACSIN operation during notochord formation.
In addition to providing a functional framework for a common human behavior, these results imply an extensive role for social chemosignaling, which persists mostly without awareness for the signaling process.
Since 60% of the markers in the most developed map (RIL1) corresponded to coding regions, this consensus enhanced-density faba bean map provides a functional framework for candidate gene studies, expression analysis, comparative genomics, evolution studies and anchoring of the future faba bean genome sequences.
Our results provide a functional genomic framework for a calcium-dependent signaling network by highlighting the downstream transcriptional targets of Cav1.2 dysregulation, and yields insights into molecular mechanisms relevant to both TS and ASD.
Although the network-derived 1D layout of the genes provides a convenient functional framework for data visualization, many important functional relationships between genes cannot be revealed in such a layout due to the complexity of biological systems and the multi-functional nature of the genes.
Despite its simplicity, the technique provides a complete and functional framework for in silico prediction of drug and target relationships.
Therefore, our data provide a powerful framework for the functional analysis of specific proteins, protein classes, or molecular pathways.
Taken together, the present VvTPS genomic annotations and the VvTPS functional characterizations provide a reference framework for future studies, including transcript and protein expression profiling, as well as terpenoid molecular marker development through, for example association mapping.
These findings advance our understanding of meiotic genes, gene expression and regulation, especially the transcript profiles of MGI genes and TE genes, and provide a framework for functional analysis of genes in meiosis.
Understanding protein-surface interactions in this model system should provide a framework for engineering surfaces for functional adsorption of other motor proteins and surface-active enzymes.
