Influence of Dataflow Graph Moldable Parameters on Optimization Criteria

Autor: Alexandre Honorat, Thomas Bourgoin, Hugo Miomandre, Karol Desnos, Daniel Menard, Jean-François Nezan
Přispěvatelé: Université Grenoble Alpes (UGA), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Sound Programming of Adaptive Dependable Embedded Systems (SPADES), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université de Rennes (UR), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA), ANR-20-CE46-0001, DARK-ERA, ANR-20-CE46-0001,DARK-ERA,Adéquation Algorithme Architecture basée sur une description flot de données du pipeline SKA pour la radioastronomie exascale(2020)
Rok vydání: 2022
Předmět:
Zdroj: Design and Architecture for Signal and Image Processing ISBN: 9783031127472
DASIP 2022-Workshop on Design and Architectures for Signal and Image Processing
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⟩
DOI: 10.1007/978-3-031-12748-9_7
Popis: International audience; 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.
Databáze: OpenAIRE
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