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Your search keyword '"Mastroiaco, Valentina"' showing total 5 results
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5 results on '"Mastroiaco, Valentina"'

1. Additional file 1: Figure S1. of MicroRNA expression analysis in high fat diet-induced NAFLD-NASH-HCC progression: study on C57BL/6J mice

Author

Tessitore, Alessandra, Cicciarelli, Germana, Vecchio, Filippo Del, Gaggiano, Agata, Verzella, Daniela, Mariafausta Fischietti, Mastroiaco, Valentina, Vetuschi, Antonella, Sferra, Roberta, Barnabei, Remo, Capece, Daria, Zazzeroni, Francesca, and Alesse, Edoardo

Subjects
Quantitative Biology::Tissues and Organs, Mathematics::Category Theory, Astrophysics::Solar and Stellar Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Quantitative Biology::Cell Behavior
Abstract

Inflammatory infiltrate. Lymphocytes (green arrows), plasma cells (yellow arrows), macrophages (red arrows), and PMN (blue arrow). (PPTX 1448Â kb)

Published
2016
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2. Additional file 2: Figure S2. of MicroRNA expression analysis in high fat diet-induced NAFLD-NASH-HCC progression: study on C57BL/6J mice

Author

Tessitore, Alessandra, Cicciarelli, Germana, Vecchio, Filippo Del, Gaggiano, Agata, Verzella, Daniela, Mariafausta Fischietti, Mastroiaco, Valentina, Vetuschi, Antonella, Sferra, Roberta, Barnabei, Remo, Capece, Daria, Zazzeroni, Francesca, and Alesse, Edoardo

Abstract

MiRNAs differentially modulated during the progression of the hepatic damage. (A) RQ (relative quantification) values ± SE (Y axis) obtained by comparing HF to LF pooled RNAs from hepatic tissues. (B) RQ values ± SE (Y axis) of pooled RNAs from tumor tissues with respect to pooled RNAs from HF hepatic non-tumor tissues. Results are from 3 replicates. Global normalization mode was used for the analysis. Samples marked with the asterisk show P ≤ 0.05. (PDF 284 kb)

Published
2016
Full Text
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3. Additional file 1: Figure S1. of MicroRNA expression analysis in high fat diet-induced NAFLD-NASH-HCC progression: study on C57BL/6J mice

Author

Tessitore, Alessandra, Cicciarelli, Germana, Vecchio, Filippo Del, Gaggiano, Agata, Verzella, Daniela, Mariafausta Fischietti, Mastroiaco, Valentina, Vetuschi, Antonella, Sferra, Roberta, Barnabei, Remo, Capece, Daria, Zazzeroni, Francesca, and Alesse, Edoardo

Subjects
Quantitative Biology::Tissues and Organs, Mathematics::Category Theory, Astrophysics::Solar and Stellar Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Quantitative Biology::Cell Behavior
Abstract

Inflammatory infiltrate. Lymphocytes (green arrows), plasma cells (yellow arrows), macrophages (red arrows), and PMN (blue arrow). (PPTX 1448Â kb)

Published
2016
Full Text
View/download PDF

4. Additional file 2: Figure S2. of MicroRNA expression analysis in high fat diet-induced NAFLD-NASH-HCC progression: study on C57BL/6J mice

Author

Tessitore, Alessandra, Cicciarelli, Germana, Vecchio, Filippo Del, Gaggiano, Agata, Verzella, Daniela, Mariafausta Fischietti, Mastroiaco, Valentina, Vetuschi, Antonella, Sferra, Roberta, Barnabei, Remo, Capece, Daria, Zazzeroni, Francesca, and Alesse, Edoardo

Abstract

MiRNAs differentially modulated during the progression of the hepatic damage. (A) RQ (relative quantification) values ± SE (Y axis) obtained by comparing HF to LF pooled RNAs from hepatic tissues. (B) RQ values ± SE (Y axis) of pooled RNAs from tumor tissues with respect to pooled RNAs from HF hepatic non-tumor tissues. Results are from 3 replicates. Global normalization mode was used for the analysis. Samples marked with the asterisk show P ≤ 0.05. (PDF 284 kb)

Published
2016
Full Text
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5. Additional file 2: Table S2. of Bioinformatics approach to predict target genes for dysregulated microRNAs in hepatocellular carcinoma: study on a chemically-induced HCC mouse model

Author

Vecchio, Filippo Del, Gallo, Francesco, Antinisca Di Marco, Mastroiaco, Valentina, Caianiello, Pasquale, Zazzeroni, Francesca, Alesse, Edoardo, and Tessitore, Alessandra

Abstract

The group of fifteen top target genes inferred from target prediction analysis. A table comprising the fifteen top target genes for the miR 125a-5p, miR-193b, miR-182 and miR-27a, retrieved from at least 50 % of prediction softwares used. (DOCX 11 kb)

Published
2015
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