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Francesco Piva

Researcher at Marche Polytechnic University

Publications -  102
Citations -  3743

Francesco Piva is an academic researcher from Marche Polytechnic University. The author has contributed to research in topics: Cancer & Pancreatic cancer. The author has an hindex of 28, co-authored 97 publications receiving 3020 citations.

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An estimation of the number of cells in the human body

TL;DR: Knowing the total cell number of the human body as well as of individual organs is important from a cultural, biological, medical and comparative modelling point of view.
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SpliceAid 2: a database of human splicing factors expression data and RNA target motifs.

TL;DR: The new version of SpliceAid 2 can be useful to foresee the splicing pattern alteration, to guide the identification of the molecular effect due to the mutations and to understand the tissue‐specific alternative splicing.
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Use of the Land Snail Helix aspersa as Sentinel Organism for Monitoring Ecotoxicologic Effects of Urban Pollution: An Integrated Approach

TL;DR: The overall results of this exploratory study suggest the utility of H. aspersa as a sentinel organism for biomonitoring the biologic impact of atmospheric pollution in urban areas and an ecotoxicologic approach to evaluate both bioaccumulation and toxicologic effects caused by airborne pollutants.
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Metabolic phenotype of bladder cancer

TL;DR: A deep understanding of the metabolic phenotype of bladder cancer will provide novel opportunities for targeted therapeutic strategies, as well as contribute to cancer metabolic switch and tumor cell proliferation.
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Assessing sediment hazard through a weight of evidence approach with bioindicator organisms: A practical model to elaborate data from sediment chemistry, bioavailability, biomarkers and ecotoxicological bioassays

TL;DR: A new model presented here for comprehensive assessment of hazards associated to polluted sediments efficiently discriminates between the various conditions, both as individual modules and as an integrated final evaluation, and it appears to be a powerful tool to support more complex processes of environmental risk assessment.