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Federica Viti

Researcher at National Research Council

Publications -  40
Citations -  554

Federica Viti is an academic researcher from National Research Council. The author has contributed to research in topics: Grid & Biological data. The author has an hindex of 11, co-authored 36 publications receiving 439 citations. Previous affiliations of Federica Viti include University of Genoa & Istituto Italiano di Tecnologia.

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A multilevel data integration resource for breast cancer study

TL;DR: The Genes-to-Systems Breast Cancer (G2SBC) Database is presented, a resource which integrates data about genes, transcripts and proteins reported in literature as altered in breast cancer cells and provides an ontology based query system and analysis tools related to intracellular pathways, PPIs, protein structure and systems modelling.
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Osteogenic Differentiation of MSC through Calcium Signaling Activation: Transcriptomics and Functional Analysis

TL;DR: A better understanding of the early stage osteogenic differentiation program of MSC seeded on calcium-based biomaterials is required in order to develop optimal strategies to promote osteogenesis through the use of new generation osteoconductive scaffolds.
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Strategies for comparing gene expression profiles from different microarray platforms: Application to a case–control experiment

TL;DR: This work addressed the issue of comparing gene expression profiles from two microarray platforms by devising a standardized investigative strategy and tested this procedure by studying MDA-MB-231 cells, which undergo apoptosis on treatment with resveratrol.
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Flow-induced mechanotransduction in skeletal cells

TL;DR: The mechanoreceptors in bone tissue that can feel and process fluid flow are described and an overview of the biological processes and biochemical cascades initiated by fluid shear stress in bone cells is presented.
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Structure, Thermodynamics, and Kinetics of Plinabulin Binding to Two Tubulin Isotypes

TL;DR: It is found that plinabulin is more persistently bound to the colchicine site of βII- compared to βIII-tubulin, allowing for a prediction of isotype-expression-dependent drug sensitivity and improving understanding of their mechanism of action, residence time, and tubulin isotype selectivity.