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1دورية أكاديمية
المؤلفون: Silvia Belluti (104033), Valentina Semeghini (11711427), Giovanna Rigillo (11711430), Mirko Ronzio (8475249), Daniela Benati (190854), Federica Torricelli (7173128), Luca Reggiani Bonetti (11711433), Gianluca Carnevale (117495), Giulia Grisendi (3430946), Alessia Ciarrocchi (37383), Massimo Dominici (3203094), Alessandra Recchia (234598), Diletta Dolfini (90487), Carol Imbriano (11711436)
مصطلحات موضوعية: Biochemistry, Medicine, Cell Biology, Genetics, Molecular Biology, Immunology, Developmental Biology, Cancer, Hematology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, NF-Y, Prostate cancer, Alternative splicing, Genome editing, Transcriptome profiling
الوصف: Additional file 4: Suppl. Figure S4. Gene signature of MTSs overexpressing NF-YAs or NF-YAl. Top 25 enriched GO terms of down regulated genes in NF-YAl (left panel) and NF-YAs (right panel) overexpressing PC3 MTSs vs Empty control ones. The size of each circle represents the number of genes included in each GO term and the color of the circle indicates the adjusted p value.
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2صورة
المؤلفون: Silvia Belluti (104033), Valentina Semeghini (11711427), Giovanna Rigillo (11711430), Mirko Ronzio (8475249), Daniela Benati (190854), Federica Torricelli (7173128), Luca Reggiani Bonetti (11711433), Gianluca Carnevale (117495), Giulia Grisendi (3430946), Alessia Ciarrocchi (37383), Massimo Dominici (3203094), Alessandra Recchia (234598), Diletta Dolfini (90487), Carol Imbriano (11711436)
مصطلحات موضوعية: Biochemistry, Medicine, Cell Biology, Genetics, Molecular Biology, Immunology, Developmental Biology, Cancer, Hematology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, NF-Y, Prostate cancer, Alternative splicing, Genome editing, Transcriptome profiling
الوصف: Additional file 1: Suppl. Figure S1. Effects of NF-YA inactivation by RNAi in vitro and in vivo. (A) Cell proliferation curve measured by MTT assay of PC3 cells infected with scramble (shCTR) and NF-YA-targeting shRNA (shNF-YA). Data represent mean ± SEM (multiple t-test corrected by the Holm-Sidak method: *p<0.05, **p<0.01, n=4). (B) Images of xenograft tumors dissected from SCID Hairless Outbred (SHO®) mice after 5 weeks from s.c. injection of shCTR and shNF-YA cells (7 mice per group).
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3صورة
المؤلفون: Silvia Belluti (104033), Valentina Semeghini (11711427), Giovanna Rigillo (11711430), Mirko Ronzio (8475249), Daniela Benati (190854), Federica Torricelli (7173128), Luca Reggiani Bonetti (11711433), Gianluca Carnevale (117495), Giulia Grisendi (3430946), Alessia Ciarrocchi (37383), Massimo Dominici (3203094), Alessandra Recchia (234598), Diletta Dolfini (90487), Carol Imbriano (11711436)
مصطلحات موضوعية: Biochemistry, Medicine, Cell Biology, Genetics, Molecular Biology, Immunology, Developmental Biology, Cancer, Hematology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, NF-Y, Prostate cancer, Alternative splicing, Genome editing, Transcriptome profiling
الوصف: Additional file 3: Suppl. Figure S3. CRISPR/Cas9-mediated knock out of endogenous hNF-YA. (A) Schematic representation of CRISPR/Cas9 strategy to knock down human NF-YA. The picture illustrates the sgRNA targeting endogenous hNF-YA (blue line) and the PAM sequence specific for the human gene (red line). Sequence alignment of the reverse complementary strand of exon 2 of human and mouse NF-YA gene is shown. (B) Indel spectrum determined by TIDE analysis on human NF-YA gene in a representative experiment of bulk CRISPR-treated PC3 cells overexpressing murine NF-YAl (left panel) or NF-YAs (right panel). Editing frequencies are shown (p < 0.05). (C) Indel spectrum determined by TIDE analysis on murine NF-YA in CRISPR-treated and GFP-sorted PC3 cells overexpressing murine NF-YAl (left panel) or NF-YAs (right panel). (D) Indel spectrum determined by TIDE analysis on human NF-YA gene in PC3 NF-YAs clone #11 (left panel) or #23 (right panel). Frequencies of editing are reported (p < 0.05) and show biallelic editing.
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4
المؤلفون: Silvia Belluti (104033), Valentina Semeghini (11711427), Giovanna Rigillo (11711430), Mirko Ronzio (8475249), Daniela Benati (190854), Federica Torricelli (7173128), Luca Reggiani Bonetti (11711433), Gianluca Carnevale (117495), Giulia Grisendi (3430946), Alessia Ciarrocchi (37383), Massimo Dominici (3203094), Alessandra Recchia (234598), Diletta Dolfini (90487), Carol Imbriano (11711436)
مصطلحات موضوعية: Biochemistry, Medicine, Cell Biology, Genetics, Molecular Biology, Immunology, Developmental Biology, Cancer, Hematology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, NF-Y, Prostate cancer, Alternative splicing, Genome editing, Transcriptome profiling
الوصف: Additional file 7: Table S1. Oligonucleotides used in the experiments.
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5صورة
المؤلفون: Silvia Belluti (104033), Valentina Semeghini (11711427), Giovanna Rigillo (11711430), Mirko Ronzio (8475249), Daniela Benati (190854), Federica Torricelli (7173128), Luca Reggiani Bonetti (11711433), Gianluca Carnevale (117495), Giulia Grisendi (3430946), Alessia Ciarrocchi (37383), Massimo Dominici (3203094), Alessandra Recchia (234598), Diletta Dolfini (90487), Carol Imbriano (11711436)
مصطلحات موضوعية: Biochemistry, Medicine, Cell Biology, Genetics, Molecular Biology, Immunology, Developmental Biology, Cancer, Hematology, Infectious Diseases, Space Science, Biological Sciences not elsewhere classified, NF-Y, Prostate cancer, Alternative splicing, Genome editing, Transcriptome profiling
الوصف: Additional file 6: Suppl. Figure S6. Effect of NF-YA overexpression on tumor growth in vivo and analysis of NF-YA isoforms in PCa metastatic sites. (A) Volumes (mm3) of Empty, NF-YAs and NF-YAl xenograft tumors at the indicated time points. Data represent mean ± SEM (two-way ANOVA with Holm-Sidak's test: *p<0.05, **p<0.01, ns, not significant, n=8). (B) Images of xenograft tumors dissected from SCID Hairless Outbred (SHO®) mice after 5 weeks from s.c. injection. (C) Analysis of NF-YAs and NF-YAl transcripts in metastatic sites from PCa samples (GEO147250) and TCGA dataset (Prostate primary).
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6
المؤلفون: Riccardo Milandri, Cristel Ruini, Giovanni Ponti, Salvatore Micali, Stefania Bettelli, Tomris Ozben, Alessia Ciarrocchi, Marco Manfredini, Monia Maccaferri, Aldo Tomasi, Luisa Benassi, Chiara Del Prete, Shaniko Kaleci, Federica Torricelli
مصطلحات موضوعية: 0301 basic medicine, Male, medicine.medical_specialty, Clinical Biochemistry, Urology, urologic and male genital diseases, Biochemistry, Circulating Tumor DNA, Fragment size, Cohort Studies, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Semen, medicine, Biomarkers, Tumor, Humans, Liquid biopsy, Aged, business.industry, Biochemistry (medical), Non invasive, Benign prostatic hyperplasia, Non-invasive prostate cancer diagnosis, Seminal cell-free DNA, cfDNA fragment size distribution, Cancer, Prostatic Neoplasms, General Medicine, Hyperplasia, Middle Aged, medicine.disease, 030104 developmental biology, Cell-free fetal DNA, 030220 oncology & carcinogenesis, Biomarker (medicine), business, Cell-Free Nucleic Acids
الوصف: Background Liquid biopsy consists in the quantification and qualification of circulating cell-free DNA (cfDNA) and tumor-derived DNA (ctDNA) for cancer recognition. Recently, the characterization of seminal cfDNA (scfDNA) has been reported as a possible biomarker for prostate cancer (PCa) diagnosis. Methods Thirty patients with histologically proven PCa, 33 with benign prostate hyperplasia (BPH) and 21 healthy controls were enrolled. cfDNA was extracted from seminal fluid samples. cfDNA quantification and analysis were performed using Qubit ssDNA Kit and Agilent 2100 Bioanalyzer. Statistical analysis included: Levene's test, Shapiro-Wilk, Kolmogorov-Smirnov and Kruskal Wallis tests. Results Median cfDNA was significantly higher in PCa patients 428.45 ng/mL (173.93–1159.62) compared to BPH patients 77.4 ng/mL (18.23–501) and healthy controls 25.4 ng/mL (15.37–76.62). scfDNA fragments longer than 1000 base-pairs were more common in patients with PCa compared to those with BPH and controls. Conclusions scfDNA concentration and fragment size differed significantly in the three groups of PCa, BPH and healthy controls. Both parameters are potential clinical biomarkers for PCa and can be used in both early diagnosis and follow-up. Using automated systems for high-throughput cfDNA quantification could improve the reproducibility of the method and facilitate the implementation of liquid biopsies in the clinical setting.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b71847a3d8f86972821f04f31bdd9bcTest
https://hdl.handle.net/11380/1179221Test
