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689 results on '"Provero, Paolo"'

1. p140Cap inhibits β-Catenin in the breast cancer stem cell compartment instructing a protective anti-tumor immune response

Author

Salemme, Vincenzo, Vedelago, Mauro, Sarcinella, Alessandro, Moietta, Federico, Piccolantonio, Alessio, Moiso, Enrico, Centonze, Giorgia, Manco, Marta, Guala, Andrea, Lamolinara, Alessia, Angelini, Costanza, Morellato, Alessandro, Natalini, Dora, Calogero, Raffaele, Incarnato, Danny, Oliviero, Salvatore, Conti, Laura, Iezzi, Manuela, Tosoni, Daniela, Bertalot, Giovanni, Freddi, Stefano, Tucci, Francesco A., De Sanctis, Francesco, Frusteri, Cristina, Ugel, Stefano, Bronte, Vincenzo, Cavallo, Federica, Provero, Paolo, Gai, Marta, Taverna, Daniela, Turco, Emilia, Pece, Salvatore, and Defilippi, Paola

Published
2023
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2. Stroma-derived miR-214 coordinates tumor dissemination

Author

Orso, Francesca, Virga, Federico, Dettori, Daniela, Dalmasso, Alberto, Paradzik, Mladen, Savino, Aurora, Pomatto, Margherita A. C., Quirico, Lorena, Cucinelli, Stefania, Coco, Martina, Mareschi, Katia, Fagioli, Franca, Salmena, Leonardo, Camussi, Giovanni, Provero, Paolo, Poli, Valeria, Mazzone, Massimiliano, Pandolfi, Pier Paolo, and Taverna, Daniela

Published
2023
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3. RICTOR/mTORC2 downregulation in BRAFV600E melanoma cells promotes resistance to BRAF/MEK inhibition

Author

Ponzone, Luca, Audrito, Valentina, Landi, Claudia, Moiso, Enrico, Levra Levron, Chiara, Ferrua, Sara, Savino, Aurora, Vitale, Nicoletta, Gasparrini, Massimiliano, Avalle, Lidia, Vantaggiato, Lorenza, Shaba, Enxhi, Tassone, Beatrice, Saoncella, Stefania, Orso, Francesca, Viavattene, Daniele, Marina, Eleonora, Fiorilla, Irene, Burrone, Giulia, Abili, Youssef, Altruda, Fiorella, Bini, Luca, Deaglio, Silvia, Defilippi, Paola, Menga, Alessio, Poli, Valeria, Porporato, Paolo Ettore, Provero, Paolo, Raffaelli, Nadia, Riganti, Chiara, Taverna, Daniela, Cavallo, Federica, and Calautti, Enzo

Published
2024
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4. Stool Microbiome Signature Associated with Response to Neoadjuvant Pembrolizumab in Patients with Muscle-invasive Bladder Cancer

Author

Pederzoli, Filippo, primary, Riba, Michela, additional, Venegoni, Chiara, additional, Marandino, Laura, additional, Bandini, Marco, additional, Alchera, Elisa, additional, Locatelli, Irene, additional, Raggi, Daniele, additional, Giannatempo, Patrizia, additional, Provero, Paolo, additional, Lazarevic, Dejan, additional, Moschini, Marco, additional, Lucianò, Roberta, additional, Gallina, Andrea, additional, Briganti, Alberto, additional, Montorsi, Francesco, additional, Salonia, Andrea, additional, Necchi, Andrea, additional, and Alfano, Massimo, additional

Published
2024
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5. Harnessing the reverse cholesterol transport pathway to favor differentiation of monocyte-derived APCs and antitumor responses

Author

Raccosta, Laura, Marinozzi, Maura, Costantini, Susan, Maggioni, Daniela, Ferreira, Lorena Maria, Corna, Gianfranca, Zordan, Paola, Sorice, Angela, Farinello, Diego, Bianchessi, Silvia, Riba, Michela, Lazarevic, Dejan, Provero, Paolo, Mack, Matthias, Bondanza, Attilio, Nalvarte, Ivan, Gustafsson, J-A, Ranzani, Valeria, De Sanctis, Francesco, Ugel, Stefano, Baron, Silvère, Lobaccaro, Jean-Marc A., Pontini, Lorenzo, Pacciarini, Manuela, Traversari, Catia, Pagani, Massimiliano, Bronte, Vincenzo, Sitia, Giovanni, Antonson, Per, Brendolan, Andrea, Budillon, Alfredo, and Russo, Vincenzo

Published
2023
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9. MiR-100 is a predictor of endocrine responsiveness and prognosis in patients with operable luminal breast cancer

Author

Petrelli, Annalisa, Bellomo, Sara Erika, Sarotto, Ivana, Kubatzki, Franziska, Sgandurra, Paola, Maggiorotto, Furio, Di Virgilio, Maria Rosaria, Ponzone, Riccardo, Geuna, Elena, Galizia, Danilo, Nuzzo, Anna Maria, Medico, Enzo, Miglio, Umberto, Berrino, Enrico, Venesio, Tiziana, Ribisi, Salvatore, Provero, Paolo, Sapino, Anna, Giordano, Silvia, and Montemurro, Filippo

Published
2020
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10. STAT3-dependent long non-coding RNA Lncenc1 contributes to mouse ES cells pluripotency via stabilizing Klf4 mRNA

Author

Monteleone, Emanuele, primary, Corrieri, Paola, additional, Provero, Paolo, additional, Viavattene, Daniele, additional, Pulvirenti, Lorenzo, additional, Raggi, Laura, additional, Carbognin, Elena, additional, Bianchi, Marco E, additional, Martello, Graziano, additional, Oliviero, Salvatore, additional, Pandolfi, Pier Paolo, additional, and Poli, Valeria, additional

Published
2023
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11. A fluorescent reporter model for the visualization and characterization of TDC

Author

Fiore, Alessandra, primary, Sala, Eleonora, additional, Laura, Chiara, additional, Riba, Michela, additional, Nelli, Maria, additional, Fumagalli, Valeria, additional, Oberrauch, Federico, additional, Mangione, Marta, additional, Cristofani, Claudia, additional, Provero, Paolo, additional, Iannacone, Matteo, additional, and Kuka, Mirela, additional

Published
2023
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17. The BioMart community portal: an innovative alternative to large, centralized data repositories.

Author

Smedley, Damian, Haider, Syed, Durinck, Steffen, Pandini, Luca, Provero, Paolo, Allen, James, Arnaiz, Olivier, Awedh, Mohammad Hamza, Baldock, Richard, Barbiera, Giulia, Bardou, Philippe, Beck, Tim, Blake, Andrew, Bonierbale, Merideth, Brookes, Anthony J, Bucci, Gabriele, Buetti, Iwan, Burge, Sarah, Cabau, Cédric, Carlson, Joseph W, Chelala, Claude, Chrysostomou, Charalambos, Cittaro, Davide, Collin, Olivier, Cordova, Raul, Cutts, Rosalind J, Dassi, Erik, Di Genova, Alex, Djari, Anis, Esposito, Anthony, Estrella, Heather, Eyras, Eduardo, Fernandez-Banet, Julio, Forbes, Simon, Free, Robert C, Fujisawa, Takatomo, Gadaleta, Emanuela, Garcia-Manteiga, Jose M, Goodstein, David, Gray, Kristian, Guerra-Assunção, José Afonso, Haggarty, Bernard, Han, Dong-Jin, Han, Byung Woo, Harris, Todd, Harshbarger, Jayson, Hastings, Robert K, Hayes, Richard D, Hoede, Claire, Hu, Shen, Hu, Zhi-Liang, Hutchins, Lucie, Kan, Zhengyan, Kawaji, Hideya, Keliet, Aminah, Kerhornou, Arnaud, Kim, Sunghoon, Kinsella, Rhoda, Klopp, Christophe, Kong, Lei, Lawson, Daniel, Lazarevic, Dejan, Lee, Ji-Hyun, Letellier, Thomas, Li, Chuan-Yun, Lio, Pietro, Liu, Chu-Jun, Luo, Jie, Maass, Alejandro, Mariette, Jerome, Maurel, Thomas, Merella, Stefania, Mohamed, Azza Mostafa, Moreews, Francois, Nabihoudine, Ibounyamine, Ndegwa, Nelson, Noirot, Céline, Perez-Llamas, Cristian, Primig, Michael, Quattrone, Alessandro, Quesneville, Hadi, Rambaldi, Davide, Reecy, James, Riba, Michela, Rosanoff, Steven, Saddiq, Amna Ali, Salas, Elisa, Sallou, Olivier, Shepherd, Rebecca, Simon, Reinhard, Sperling, Linda, Spooner, William, Staines, Daniel M, Steinbach, Delphine, Stone, Kevin, Stupka, Elia, Teague, Jon W, Dayem Ullah, Abu Z, Wang, Jun, and Ware, Doreen

Subjects
Humans, Neoplasms, Proteomics, Genomics, Internet, Database Management Systems, Developmental Biology, Environmental Sciences, Biological Sciences, Information and Computing Sciences
Abstract

The BioMart Community Portal (www.biomart.org) is a community-driven effort to provide a unified interface to biomedical databases that are distributed worldwide. The portal provides access to numerous database projects supported by 30 scientific organizations. It includes over 800 different biological datasets spanning genomics, proteomics, model organisms, cancer data, ontology information and more. All resources available through the portal are independently administered and funded by their host organizations. The BioMart data federation technology provides a unified interface to all the available data. The latest version of the portal comes with many new databases that have been created by our ever-growing community. It also comes with better support and extensibility for data analysis and visualization tools. A new addition to our toolbox, the enrichment analysis tool is now accessible through graphical and web service interface. The BioMart community portal averages over one million requests per day. Building on this level of service and the wealth of information that has become available, the BioMart Community Portal has introduced a new, more scalable and cheaper alternative to the large data stores maintained by specialized organizations.

Published
2015

18. A fluorescent reporter model for the visualization and characterization of TDC.

Author

Fiore, Alessandra, Sala, Eleonora, Laura, Chiara, Riba, Michela, Nelli, Maria, Fumagalli, Valeria, Oberrauch, Federico, Mangione, Marta, Cristofani, Claudia, Provero, Paolo, Iannacone, Matteo, and Kuka, Mirela

Subjects
DATA visualization, VIRUS diseases, T cells, DENDRITIC cells
Abstract

TDC are hematopoietic cells that combine dendritic cell (DC) and conventional T‐cell markers and functional properties. They were identified in secondary lymphoid organs (SLOs) of naïve mice as cells expressing CD11c, major histocompatibility molecules (MHC)‐II, and the T‐cell receptor (TCR). Despite thorough characterization, a physiological role for TDC remains to be determined. Unfortunately, using CD11c as a marker for TDC has the caveat of its upregulation on different cells, including T cells, upon activation. Here, we took advantage of Zbtb46‐GFP reporter mice to explore the frequency and localization of TDC in different tissues at steady state and upon viral infection. RNA sequencing analysis confirmed that TDC sorted from Zbtb46‐GFP mice have a gene signature that is distinct from conventional T cells and DC. In addition, this reporter model allowed for identification of TDC in situ not only in SLOs but also in the liver and lung of naïve mice. Interestingly, we found that TDC numbers in the SLOs increased upon viral infection, suggesting that TDC might play a role during viral infections. In conclusion, we propose a visualization strategy that might shed light on the physiological role of TDC in several pathological contexts, including infection and cancer. [ABSTRACT FROM AUTHOR]

Published
2023
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19. Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions

Author

Cora, Davide, Di Cunto, Ferdinando, Caselle, Michele, and Provero, Paolo

Subjects
Quantitative Biology - Genomics
Abstract

3' untranslated regions (3' UTRs) contain binding sites for many regulatory elements, and in particular for microRNAs (miRNAs). The importance of miRNA-mediated post-transcriptional regulation has become increasingly clear in the last few years. We propose two complementary approaches to the statistical analysis of oligonucleotide frequencies in mammalian 3' UTRs aimed at the identification of candidate binding sites for regulatory elements. The first method is based on the identification of sets of genes characterized by evolutionarily conserved overrepresentation of an oligonucleotide. The second method is based on the identification of oligonucleotides showing statistically significant strand asymmetry in their distribution in 3' UTRs. Both methods are able to identify many previously known binding sites located in 3'UTRs, and in particular seed regions of known miRNAs. Many new candidates are proposed for experimental verification., Comment: Added two references

Published
2007

21. Ab initio identification of putative human transcription factor binding sites by comparative genomics

Author

Cora', Davide, Herrmann, Carl, Dieterich, Christoph, Di Cunto, Ferdinando, Provero, Paolo, and Caselle, Michele

Subjects
Quantitative Biology - Genomics
Abstract

We discuss a simple and powerful approach for the ab initio identification of cis-regulatory motifs involved in transcriptional regulation. The method we present integrates several elements: human-mouse comparison, statistical analysis of genomic sequences and the concept of coregulation. We apply it to a complete scan of the human genome. By using the catalogue of conserved upstream sequences collected in the CORG database we construct sets of genes sharing the same overrepresented motif (short DNA sequence) in their upstream regions both in human and in mouse. We perform this construction for all possible motifs from 5 to 8 nucleotides in length and then filter the resulting sets looking for two types of evidence of coregulation: first, we analyze the Gene Ontology annotation of the genes in the set, searching for statistically significant common annotations; second, we analyze the expression profiles of the genes in the set as measured by microarray experiments, searching for evidence of coexpression. The sets which pass one or both filters are conjectured to contain a significant fraction of coregulated genes, and the upstream motifs characterizing the sets are thus good candidates to be the binding sites of the TF's involved in such regulation. In this way we find various known motifs and also some new candidate binding sites., Comment: 22 pages, 2 figures. Supplementary material available from the authors

Published
2005

22. Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifs

Author

Cora', Davide, Di Cunto, Ferdinando, Provero, Paolo, Silengo, Lorenzo, and Caselle, Michele

Subjects
Quantitative Biology - Genomics
Abstract

BACKGROUND: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition motifs located upstream of the coding region of the regulated gene. The computational identification of such motifs is made easier by the fact that they often appear several times in the upstream region of the regulated genes, so that the number of occurrences of relevant motifs is often significantly larger than expected by pure chance. RESULTS: To exploit this fact, we construct sets of genes characterized by the statistical overrepresentation of a certain motif in their upstream regions. Then we study the functional characterization of these sets by analyzing their annotation to Gene Ontology terms. For the sets showing a statistically significant specific functional characterization, we conjecture that the upstream motif characterizing the set is a binding site for a transcription factor involved in the regulation of the genes in the set. CONCLUSIONS: The method we propose is able to identify many known binding sites in S. cerevisiae and new candidate targets of regulation by known transcription factors. Its application to less well studied organisms is likely to be valuable in the exploration of their regulatory interaction network., Comment: 19 pages, 1 figure. Published version with several improvements. Supplementary material available from the authors

Published
2003

23. Connectivity Distribution of Spatial Networks

Author

Herrmann, Carl, Barthelemy, Marc, and Provero, Paolo

Subjects
Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics, Quantitative Biology - Genomics
Abstract

We study spatial networks constructed by randomly placing nodes on a manifold and joining two nodes with an edge whenever their distance is less than a certain cutoff. We derive the general expression for the connectivity distribution of such networks as a functional of the distribution of the nodes. We show that for regular spatial densities, the corresponding spatial network has a connectivity distribution decreasing faster than an exponential. In contrast, we also show that scale-free networks with a power law decreasing connectivity distribution are obtained when a certain information measure of the node distribution (integral of higher powers of the distribution) diverges. We illustrate our results on a simple example for which we present simulation results. Finally, we speculate on the role played by the limiting case P(k)=1/k which appears empirically to be relevant to spatial networks of biological origin such as the ones constructed from gene expression data., Comment: 6 pages, 1 figure

Published
2003
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24. Spectrum of screening masses in the (3+1)D SU(2) pure gauge theory near the critical temperature

Author

Fiore, Roberto, Papa, Alessandro, and Provero, Paolo

Subjects
High Energy Physics - Lattice
Abstract

We study the spectrum of screening masses in the deconfined phase of (3+1)D SU(2) pure gauge theory near criticality and compare it with the spectrum of bound states in the broken symmetry phase of the 3D Ising model, which is related to the gauge theory by universality., Comment: 3 pages, uses espcrc2.sty, Lattice2002(nonzerot)

Published
2002
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25. Finite-size scaling and deconfinement transition in gauge theories

Author

Fiore, Roberto, Papa, Alessandro, and Provero, Paolo

Subjects
High Energy Physics - Lattice
Abstract

A new method is proposed for determining the critical indices of the deconfinement transition in gauge theories, based on the finite-size scaling analysis of simple lattice operators, such as the plaquette. A precise determination of the critical index $\nu$, in agreement with the prediction of the Svetitsky-Yaffe conjecture, is obtained for SU(3) gauge theory in (2+1)-dimension. Preliminary results for SU(2) in (3+1)-dimension are also given., Comment: poster at Lattice2001(hightemp), 3 pages, 2 figures, uses espcrc2.sty

Published
2001

26. On the phase diagram of the discrete $Z_6$ spin models

Author

Dorey, Patrick, Provero, Paolo, Tateo, Roberto, and Vinti, Stefano

Subjects
High Energy Physics - Theory, Condensed Matter - Statistical Mechanics, High Energy Physics - Lattice
Abstract

We point out some problems with the previously-proposed phase diagram of the $Z_6$ spin models. Consideration of the diagram near to the decoupling surface using both exact and approximate arguments suggests a modification which remedies these deficiencies. With the aid of a new parametrisation of the phase space, we study the models numerically, with results which support our conjectures., Comment: 10 pages, Latex 2e, 4 figures, uses epsf, amssymb, cite

Published
1998
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27. Bridging the gap between systems biology and medicine

Author

Clermont, Gilles, Auffray, Charles, Moreau, Yves, Rocke, David M, Dalevi, Daniel, Dubhashi, Devdatt, Marshall, Dana R, Raasch, Peter, Dehne, Frank, Provero, Paolo, Tegner, Jesper, Aronow, Bruce J, Langston, Michael A, and Benson, Mikael

Abstract

Abstract Systems biology has matured considerably as a discipline over the last decade, yet some of the key challenges separating current research efforts in systems biology and clinically useful results are only now becoming apparent. As these gaps are better defined, the new discipline of systems medicine is emerging as a translational extension of systems biology. How is systems medicine defined? What are relevant ontologies for systems medicine? What are the key theoretic and methodologic challenges facing computational disease modeling? How are inaccurate and incomplete data, and uncertain biologic knowledge best synthesized in useful computational models? Does network analysis provide clinically useful insight? We discuss the outstanding difficulties in translating a rapidly growing body of data into knowledge usable at the bedside. Although core-specific challenges are best met by specialized groups, it appears fundamental that such efforts should be guided by a roadmap for systems medicine drafted by a coalition of scientists from the clinical, experimental, computational, and theoretic domains.

Published
2009

29. Data from Deep Sequencing Reveals a Novel miR-22 Regulatory Network with Therapeutic Potential in Rhabdomyosarcoma

Author

Bersani, Francesca, primary, Lingua, Marcello Francesco, primary, Morena, Deborah, primary, Foglizzo, Valentina, primary, Miretti, Silvia, primary, Lanzetti, Letizia, primary, Carrà, Giovanna, primary, Morotti, Alessandro, primary, Ala, Ugo, primary, Provero, Paolo, primary, Chiarle, Roberto, primary, Singer, Samuel, primary, Ladanyi, Marc, primary, Tuschl, Thomas, primary, Ponzetto, Carola, primary, and Taulli, Riccardo, primary

Published
2023
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30. Supplementary Table S3 from Deep Sequencing Reveals a Novel miR-22 Regulatory Network with Therapeutic Potential in Rhabdomyosarcoma

Author

Bersani, Francesca, primary, Lingua, Marcello Francesco, primary, Morena, Deborah, primary, Foglizzo, Valentina, primary, Miretti, Silvia, primary, Lanzetti, Letizia, primary, Carrà, Giovanna, primary, Morotti, Alessandro, primary, Ala, Ugo, primary, Provero, Paolo, primary, Chiarle, Roberto, primary, Singer, Samuel, primary, Ladanyi, Marc, primary, Tuschl, Thomas, primary, Ponzetto, Carola, primary, and Taulli, Riccardo, primary

Published
2023
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31. Supplementary Methods, Results and Tables from Subtype-Specific Metagene-Based Prediction of Outcome after Neoadjuvant and Adjuvant Treatment in Breast Cancer

Author

Callari, Maurizio, primary, Cappelletti, Vera, primary, D'Aiuto, Francesca, primary, Musella, Valeria, primary, Lembo, Antonio, primary, Petel, Fabien, primary, Karn, Thomas, primary, Iwamoto, Takayuki, primary, Provero, Paolo, primary, Daidone, Maria Grazia, primary, Gianni, Luca, primary, and Bianchini, Giampaolo, primary

Published
2023
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32. Supplementary Figure Legends from Deep Sequencing Reveals a Novel miR-22 Regulatory Network with Therapeutic Potential in Rhabdomyosarcoma

Author

Bersani, Francesca, primary, Lingua, Marcello Francesco, primary, Morena, Deborah, primary, Foglizzo, Valentina, primary, Miretti, Silvia, primary, Lanzetti, Letizia, primary, Carrà, Giovanna, primary, Morotti, Alessandro, primary, Ala, Ugo, primary, Provero, Paolo, primary, Chiarle, Roberto, primary, Singer, Samuel, primary, Ladanyi, Marc, primary, Tuschl, Thomas, primary, Ponzetto, Carola, primary, and Taulli, Riccardo, primary

Published
2023
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34. Supplementary Materials and Methods from Deep Sequencing Reveals a Novel miR-22 Regulatory Network with Therapeutic Potential in Rhabdomyosarcoma

Author

Bersani, Francesca, primary, Lingua, Marcello Francesco, primary, Morena, Deborah, primary, Foglizzo, Valentina, primary, Miretti, Silvia, primary, Lanzetti, Letizia, primary, Carrà, Giovanna, primary, Morotti, Alessandro, primary, Ala, Ugo, primary, Provero, Paolo, primary, Chiarle, Roberto, primary, Singer, Samuel, primary, Ladanyi, Marc, primary, Tuschl, Thomas, primary, Ponzetto, Carola, primary, and Taulli, Riccardo, primary

Published
2023
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35. Supplementary Figure S3 from Deep Sequencing Reveals a Novel miR-22 Regulatory Network with Therapeutic Potential in Rhabdomyosarcoma

Author

Bersani, Francesca, primary, Lingua, Marcello Francesco, primary, Morena, Deborah, primary, Foglizzo, Valentina, primary, Miretti, Silvia, primary, Lanzetti, Letizia, primary, Carrà, Giovanna, primary, Morotti, Alessandro, primary, Ala, Ugo, primary, Provero, Paolo, primary, Chiarle, Roberto, primary, Singer, Samuel, primary, Ladanyi, Marc, primary, Tuschl, Thomas, primary, Ponzetto, Carola, primary, and Taulli, Riccardo, primary

Published
2023
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36. Supplementary Figures from Subtype-Specific Metagene-Based Prediction of Outcome after Neoadjuvant and Adjuvant Treatment in Breast Cancer

Author

Callari, Maurizio, primary, Cappelletti, Vera, primary, D'Aiuto, Francesca, primary, Musella, Valeria, primary, Lembo, Antonio, primary, Petel, Fabien, primary, Karn, Thomas, primary, Iwamoto, Takayuki, primary, Provero, Paolo, primary, Daidone, Maria Grazia, primary, Gianni, Luca, primary, and Bianchini, Giampaolo, primary

Published
2023
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38. Data from Constitutively Active Stat3 Enhances Neu-Mediated Migration and Metastasis in Mammary Tumors via Upregulation of Cten

Author

Barbieri, Isaia, primary, Pensa, Sara, primary, Pannellini, Tania, primary, Quaglino, Elena, primary, Maritano, Diego, primary, Demaria, Marco, primary, Voster, Alessandra, primary, Turkson, James, primary, Cavallo, Federica, primary, Watson, Christine J., primary, Provero, Paolo, primary, Musiani, Piero, primary, and Poli, Valeria, primary

Published
2023
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39. Figure S2 from miR-214 and miR-148b Targeting Inhibits Dissemination of Melanoma and Breast Cancer

Author

Orso, Francesca, primary, Quirico, Lorena, primary, Virga, Federico, primary, Penna, Elisa, primary, Dettori, Daniela, primary, Cimino, Daniela, primary, Coppo, Roberto, primary, Grassi, Elena, primary, Elia, Angela Rita, primary, Brusa, Davide, primary, Deaglio, Silvia, primary, Brizzi, Maria Felice, primary, Stadler, Michael B., primary, Provero, Paolo, primary, Caselle, Michele, primary, and Taverna, Daniela, primary

Published
2023
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40. Supplementary from miR-214 and miR-148b Targeting Inhibits Dissemination of Melanoma and Breast Cancer

Author

Orso, Francesca, primary, Quirico, Lorena, primary, Virga, Federico, primary, Penna, Elisa, primary, Dettori, Daniela, primary, Cimino, Daniela, primary, Coppo, Roberto, primary, Grassi, Elena, primary, Elia, Angela Rita, primary, Brusa, Davide, primary, Deaglio, Silvia, primary, Brizzi, Maria Felice, primary, Stadler, Michael B., primary, Provero, Paolo, primary, Caselle, Michele, primary, and Taverna, Daniela, primary

Published
2023
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44. Data from miR-214 and miR-148b Targeting Inhibits Dissemination of Melanoma and Breast Cancer

Author

Orso, Francesca, primary, Quirico, Lorena, primary, Virga, Federico, primary, Penna, Elisa, primary, Dettori, Daniela, primary, Cimino, Daniela, primary, Coppo, Roberto, primary, Grassi, Elena, primary, Elia, Angela Rita, primary, Brusa, Davide, primary, Deaglio, Silvia, primary, Brizzi, Maria Felice, primary, Stadler, Michael B., primary, Provero, Paolo, primary, Caselle, Michele, primary, and Taverna, Daniela, primary

Published
2023
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45. Data from EZH2 Is Essential for Glioblastoma Cancer Stem Cell Maintenance

Author

Suvà, Mario-Luca, primary, Riggi, Nicolò, primary, Janiszewska, Michalina, primary, Radovanovic, Ivan, primary, Provero, Paolo, primary, Stehle, Jean-Christophe, primary, Baumer, Karine, primary, Le Bitoux, Marie-Aude, primary, Marino, Denis, primary, Cironi, Luisa, primary, Marquez, Victor E., primary, Clément, Virginie, primary, and Stamenkovic, Ivan, primary

Published
2023
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46. Supplementary Methods, Figures 1-8, Table 1 from Constitutively Active Stat3 Enhances Neu-Mediated Migration and Metastasis in Mammary Tumors via Upregulation of Cten

Author

Barbieri, Isaia, primary, Pensa, Sara, primary, Pannellini, Tania, primary, Quaglino, Elena, primary, Maritano, Diego, primary, Demaria, Marco, primary, Voster, Alessandra, primary, Turkson, James, primary, Cavallo, Federica, primary, Watson, Christine J., primary, Provero, Paolo, primary, Musiani, Piero, primary, and Poli, Valeria, primary

Published
2023
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49. Table S1 from miR-214 and miR-148b Targeting Inhibits Dissemination of Melanoma and Breast Cancer

Author

Orso, Francesca, primary, Quirico, Lorena, primary, Virga, Federico, primary, Penna, Elisa, primary, Dettori, Daniela, primary, Cimino, Daniela, primary, Coppo, Roberto, primary, Grassi, Elena, primary, Elia, Angela Rita, primary, Brusa, Davide, primary, Deaglio, Silvia, primary, Brizzi, Maria Felice, primary, Stadler, Michael B., primary, Provero, Paolo, primary, Caselle, Michele, primary, and Taverna, Daniela, primary

Published
2023
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50. Supplementary Data 2 from EZH2 Is Essential for Glioblastoma Cancer Stem Cell Maintenance

Author

Suvà, Mario-Luca, primary, Riggi, Nicolò, primary, Janiszewska, Michalina, primary, Radovanovic, Ivan, primary, Provero, Paolo, primary, Stehle, Jean-Christophe, primary, Baumer, Karine, primary, Le Bitoux, Marie-Aude, primary, Marino, Denis, primary, Cironi, Luisa, primary, Marquez, Victor E., primary, Clément, Virginie, primary, and Stamenkovic, Ivan, primary

Published
2023
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