Based on the putative roles of the integrative genes, the possibility that the integrated pathway might transduce a PCD signal generated by prolonged ER stress and osmotic stress warrants further investigation.
The chapter demonstrates the possibilities that integrative genomic studies and the incorporation of advanced high-throughput technologies are opening for the understanding of in vivo physiological patterns of metabolic control, particularly the relevance of control at the level of gene expression.
The knowledge of evolutionary phenomena is entrusted to scientific teaching, which, in Italy and elsewhere, faces many difficulties, such as few available dedicated hours and tools, few opportunities for teacher training, and few possibilities for integrative curricular experiences.
Among emerging evolutionary and ecological model organisms, the passion-vine butterfly genus Heliconius (Nymphalidae: Heliconiinae) offers particularly exciting possibilities for integrative research into the genetic and developmental basis of adaptive variation [ 1, 2].
The resulting integrative map offers the possibility of identifying key regulatory pathways involved in disease biology and therapeutic outcome.
The possibility that integrative signalling molecules such as integrins might provide targets for drug therapies designed to promote remyelination by activation and promotion of signalling in the absence of the usual upstream cues therefore requires further investigation.
In this paper, we have discussed the possibility of an integrative online platform built upon the principles of Web 2.0 revolution that would act as a "democratic assembly" for negotiating, coordinating and integrating the fuzzy cycles of the innovation process.
We establish the possibility that an integrative sensory-motor circuit can develop in the absence of a sensory modality that is understood to be critical in its adult state yet is nonetheless primed to incorporate input from that modality immediately upon its availability.
Finally, the possibility of developing integrative comparative genomics analyses oriented to associate particular genomic features and evolutionary processes to phenotypes, not only depends on the availability of significant species for human health, but also in obtaining genomic information from neglected or less glamorous organisms.
The recent advent of programming for graphical processing units (GPU) opens up the possibility of developing more integrative, detailed and predictive biological models while at the same time decreasing the computational cost to simulate those models.
