Influence of Dataflow Graph Moldable Parameters on Optimization Criteria

Alexandre Honorat (1, 2, 3) , Thomas Bourgoin (4, 5, 6) , Hugo Miomandre (4, 5, 6) , Karol Desnos (4, 5, 6) , Daniel Menard (4, 5, 6) , Jean-François Nezan (4, 5, 6)

1 UGA - Université Grenoble Alpes
2 Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
3 SPADES - Sound Programming of Adaptive Dependable Embedded Systems
4 UR - Université de Rennes
5 IETR - Institut d'Électronique et des Technologies du numéRique
6 INSA Rennes - Institut National des Sciences Appliquées - Rennes

Unlabelled - The comprehensive bioinformatics analysis of breast cancer exosomes revealed that HSP90AA1, CCT2, and ENO1 were novel hub genes in the giant protein-protein interaction network of 110 exosomal proteins. Exosomes and their cargo such as discrete proteins, nucleic acids, and lipids are having potential role in the pathophysiology of breast cancer (BC). This study showed that the identified hub genes were particularly abundant in GO and KEGG pathways relevant to the positive regulation of telomerase. In addition, these hub genes were found to be considerably overexpressed in breast adenocarcinoma patients compared to healthy controls, and further, this overexpression is linked to the poor prognosis in BC patients. Furthermore, the ROC analysis revealed that CCT2 gene has strong diagnostic and prognostic value for BC. Additionally, this in silico analysis found that the anticancer agents and HSP90 inhibitors such as ganetespib, retaspimycin, and tanespimycin would have considerable potential in the treatment of BC. Overall, this study findings imply that HSP90AA1, a molecular chaperon and CCT2, a chaperonin would serve as diagnostic and prognostic biomarkers, respectively, for BC. However, these findings need to be further confirmed by laboratory and clinical studies for validating their potential applications. Supplementary information - The online version contains supplementary material available at 10.1007/s13205-022-03422-w.

Mots clés: Design Space Exploration; Moldable Parameter; SDF

Domaines: Systèmes embarqués

Alexandre Honorat, Thomas Bourgoin, Hugo Miomandre, Karol Desnos, Daniel Menard, et al.. Influence of Dataflow Graph Moldable Parameters on Optimization Criteria. DASIP 2022 - Workshop on Design and Architectures for Signal and Image Processing, Jun 2022, Budapest, Hungary. pp.83-95, ⟨10.1007/978-3-031-12748-9_7⟩. ⟨hal-03752645⟩