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1. Functional Organic Materials for Photovoltaics: The Synthesis as a Tool for Managing Properties for Solid State Applications

Author

Antonio Cardone and Agostina Lina Capodilupo

Subjects
energy, organic photovoltaics, functional organic materials, synthetic methodologies, structure-properties correlation, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85
Abstract

The continuous increase in the global energy demand deeply impacts the environment. Consequently, the research is moving towards more sustainable forms of energy production, storage and saving. Suitable technologies and materials are fundamental to win the challenge towards a greener and more eco-friendly society. Organic π-conjugated materials, including small molecules, oligomers and polymers are a wide and versatile class of functional materials with great potentiality, as they can be used as active matrixes in the fabrication of lightweight, flexible, cheap and large area devices. Their chemical and physical properties, both at a molecular level and mainly in the solid state, are a result of many factors, strictly related to the conjugated structure and functional groups on the backbone, which control the intermolecular forces driving solid state aggregations. The synthesis, through the molecular design, the choice of conjugated backbone and functionalization, represents the first and most powerful tool for finely tuning the chemico-physical properties of organic materials tailored for specific applications. In the present review, we report an overview of our works focused on synthetic methodologies, characterization, structure-properties correlation studies and applications of organic materials designed for energy-involving solid-state applications, organic photovoltaics in particular. The impact of functionalization on electro-optical properties and performance in device are discussed, also in relation to the specific applications.

Published
2022
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2. Synthesis and Investigation of Electro-Optical Properties of H-Shape Dibenzofulvene Derivatives

Author

Maria Michela Giangregorio, Salvatore Gambino, Eduardo Fabiano, Mauro Leoncini, Antonio Cardone, Giuseppina Anna Corrente, Amerigo Beneduci, Gianluca Accorsi, Giuseppe Gigli, Maria Losurdo, Roberto Termine, and Agostina-Lina Capodilupo

Subjects
dibenzofulvene, arylamine, ellipsometry spectroscopy, Raman spectroscopy, Organic chemistry, QD241-441
Abstract

We have synthetized two classes of dibenzofulvene-arylamino derivatives with an H-shape design, for a total of six different molecules. The molecular structures consist of two D-A-D units connected by a thiophene or bitiophene bridge, using diarylamino substituents as donor groups anchored to the 2,7- (Group A) and 3,6- (Group B) positions of the dibenzofulvene backbone. The donor units and the thiophene or bithiophene bridges were used as chemico-structural tools to modulate electro-optical and morphological-electrical properties. A combination of experiments, such as absorption measurements (UV-Vis spectroscopy), cyclic voltammetry, ellipsometry, Raman, atomic force microscopy, TD-DFT calculation and hole-mobility measurements, were carried out on the synthesized small organic molecules to investigate the differences between the two classes and therefore understand the relevance of the molecular design of the various properties. We found that the anchoring position on dibenzofulvene plays a crucial key for fine-tuning the optical, structural, and morphological properties of molecules. In particular, molecules with substituents in 2,7 positions (Group A) showed a lower structural disorder, a larger molecular planarity, and a lower roughness.

Published
2022
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3. A Convolutional Neural Networks-Based Approach for Texture Directionality Detection

Author

Marcin Kociołek, Michał Kozłowski, and Antonio Cardone

Subjects
directionality detection, texture, convolutional neural networks, Chemical technology, TP1-1185
Abstract

The perceived texture directionality is an important, not fully explored image characteristic. In many applications texture directionality detection is of fundamental importance. Several approaches have been proposed, such as the fast Fourier-based method. We recently proposed a method based on the interpolated grey-level co-occurrence matrix (iGLCM), robust to image blur and noise but slower than the Fourier-based method. Here we test the applicability of convolutional neural networks (CNNs) to texture directionality detection. To obtain the large amount of training data required, we built a training dataset consisting of synthetic textures with known directionality and varying perturbation levels. Subsequently, we defined and tested shallow and deep CNN architectures. We present the test results focusing on the CNN architectures and their robustness with respect to image perturbations. We identify the best performing CNN architecture, and compare it with the iGLCM, the Fourier and the local gradient orientation methods. We find that the accuracy of CNN is lower, yet comparable to the iGLCM, and it outperforms the other two methods. As expected, the CNN method shows the highest computing speed. Finally, we demonstrate the best performing CNN on real-life images. Visual analysis suggests that the learned patterns generalize to real-life image data. Hence, CNNs represent a promising approach for texture directionality detection, warranting further investigation.

Published
2022
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4. Lipid-Based Nanovesicles for Simultaneous Intracellular Delivery of Hydrophobic, Hydrophilic, and Amphiphilic Species

Author

Antonella Zacheo, Luca Bizzarro, Laura Blasi, Clara Piccirillo, Antonio Cardone, Giuseppe Gigli, Andrea Ragusa, and Alessandra Quarta

Subjects
nanovesicle, nanoparticle, doxorubicin, SN-38, breast cancer, lipidomic analysis, Biotechnology, TP248.13-248.65
Abstract

Lipid nanovesicles (NVs) are the first nanoformulation that entered the clinical use in oncology for the treatment of solid tumors. They are indeed versatile systems which can be loaded with either hydrophobic or hydrophilic molecules, for both imaging and drug delivery, and with high biocompatibility, and limited immunogenicity. In the present work, NVs with a lipid composition resembling that of natural vesicles were prepared using the ultrasonication method. The NVs were successfully loaded with fluorophores molecules (DOP-F-DS and a fluorescent protein), inorganic nanoparticles (quantum dots and magnetic nanoparticles), and anti-cancer drugs (SN-38 and doxorubicin). The encapsulation of such different molecules showed the versatility of the developed systems. The size of the vesicles varied from 100 up to 300 nm depending on the type of loaded species, which were accommodated either into the lipid bilayer or into the aqueous core according to their hydrophobic or hydrophilic nature. Viability assays were performed on cellular models of breast cancer (MCF-7 and MDA-MB-231). Results showed that NVs with encapsulated both drugs simultaneously led to a significant reduction of the cellular activity (up to 22%) compared to the free drugs or to the NVs encapsulated with only one drug. Lipidomic analysis suggested that the mechanism of action of the drugs is the same, whether they are free or encapsulated, but administration of the drugs by means of nanovesicles is more efficient in inducing cellular damage, likely because of a quicker internalization and a sustained release. This study confirms the versatility and the potential of lipid NVs for cancer treatment, as well as the validity of the ultrasound preparation method for their preparation.

Published
2020
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5. TP5, a Peptide Inhibitor of Aberrant and Hyperactive CDK5/p25: A Novel Therapeutic Approach against Glioblastoma

Author

Emeline Tabouret, Herui Wang, Niranjana Amin, Jinkyu Jung, Romain Appay, Jing Cui, Qi Song, Antonio Cardone, Deric M. Park, Mark R. Gilbert, Harish Pant, and Zhengping Zhuang

Subjects
glioblastoma, CDK5, radiotherapy, chemotherapy, ATM, DNA damage, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

We examined the efficacy of selective inhibition of cyclin-dependent kinase 5 (CDK5) in glioblastoma by TP5. We analyzed its impact in vitro on CDK5 expression and activity, cell survival, apoptosis and cell cycle. DNA damage was analyzed using the expression of γH2A.X and phosphorylated ATM. Its tolerance and efficacy were assessed on in vivo xenograft mouse models. We showed that TP5 decreased the activity but not the expression of CDK5 and p35. TP5 alone impaired cell viability and colony formation of glioblastoma cell lines and induced apoptosis. TP5 increased DNA damage by inhibiting the phosphorylation of ATM, leading to G1 arrest. Whereas CDK5 activity is increased by DNA-damaging agents such as temozolomide and irradiation, TP5 was synergistic with either temozolomide or irradiation due to an accumulation of DNA damage. Concomitant use of TP5 and either temozolomide or irradiation reduced the phosphorylation of ATM, increased DNA damage, and inhibited the G2/M arrest induced by temozolomide or irradiation. TP5 alone suppressed the tumor growth of orthotopic glioblastoma mouse model. The treatment was well tolerated. Finally, alone or in association with irradiation or temozolomide, TP5 prolonged mouse survival. TP5 alone or in association with temozolomide and radiotherapy is a promising therapeutic option for glioblastoma.

Published
2020
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6. Synthetic Aspects and Electro-Optical Properties of Fluorinated Arylenevinylenes for Luminescence and Photovoltaics

Author

Antonio Cardone, Carmela Martinelli, Vita Pinto, and Gianluca M. Farinola

Subjects
arylenevinylenes, fluorinated materials, Stille cross-coupling, organic semiconductors, conjugated materials., Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85
Abstract

In this review, the main synthetic aspects and properties of fluorinated arylenevinylene compounds, both oligomers and polymers, are summarized and analyzed. Starting from vinyl organotin derivatives and aryl halides, the Stille cross-coupling reaction has been successfully applied as a versatile synthetic protocol to prepare a wide series of π-conjugated compounds, selectively fluorinated on the aromatic and/or vinylene units. The impact of fluoro-functionalization on properties, the solid state organization and intermolecular interactions of the synthesized compounds are discussed, also in comparison with the non-fluorinated counterparts. Luminescent and photovoltaic applications are also discussed, highlighting the role of fluorine on the performance of devices.

Published
2013
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7. Fluorinated Poly(p-phenylenevinylene)s: Synthesis and Optical Properties of an Intriguing Class of Luminescent Polymers

Author

Gianluca M. Farinola, Antonio Cardone, Francesco Babudri, Carmela Martinelli, Francesco Naso, Giovanni Bruno, and Maria Losurdo

Subjects
poly(p-phenylenevinylene)s, conjugated polymers, organic semiconductors, fluorinated polymers, synthesis, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85
Abstract

This review is an overview of our previous work on the synthesis and properties of poly(p-phenylenevinylene)s (PPVs) selectively fluorinated in different positions of the conjugated backbone. Both the synthetic challenges and the effects of functionalization with fluorine atoms on the optical behavior are discussed, highlighting the peculiarities and the interest of this class of conjugated polymers. A general polymerization protocol for PPVs, that is based on the Pd-catalyzed Stille cross-coupling reaction of bis-stannylated vinylene monomers with aromatic bis-halides, has been successfully extended to the synthesis of selectively fluorinated poly(p-phenylenevinylene)s. The properties of a series of these PPVs differing in the number and positions of the fluorine atoms on the conjugated backbone have been studied, even in comparison with the non-fluorinated counterparts. The intriguing optical features of the resulting materials are discussed considering not only the role of the electronic and steric effects induced by the fluorine substituents, but also the impact of the fluorination on the solid state organization and intermolecular interactions.

Published
2010
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14. Empagliflozin in Patients with Chronic Kidney Disease

Author

Herrington, William G, Staplin, Natalie, Wanner, Christoph, Green, Jennifer B, Hauske, Sibylle J, Emberson, Jonathan R, Preiss, David, Judge, Parminder, Mayne, Kaitlin J, Ng, Sarah Y A, Sammons, Emily, Zhu, Doreen, Hill, Michael, Stevens, Will, Wallendszus, Karl, Brenner, Susanne, Cheung, Alfred K, Liu, Zhi-Hong, Li, Jing, Hooi, Lai Seong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Maggioni, Aldo P, Pontremoli, Roberto, Deo, Rajat, Goto, Shinya, Rossello, Xavier, Tuttle, Katherine R, Steubl, Dominik, Petrini, Michaela, Massey, Dan, Eilbracht, Jens, Brueckmann, Martina, Landray, Martin J, Baigent, Colin, Haynes, Richard, The EMPA-KIDNEY Collaborative Group: Colin Baigent, Martin J Landray, Christoph Wanner, William G Herrington, Richard Haynes, Jennifer B Green, Sibylle J Hauske, Martina Brueckmann, Mark Hopley, Maximillian von-Eynatten, Jyothis George, Susanne Brenner, Alfred K Cheung, David Preiss, Zhi-Hong Liu, Jing Li, Laiseong Hooi, Wen Liu, Takashi Kadowaki, Masaomi Nangaku, Adeera Levin, David Cherney, Roberto Pontremoli, Aldo P Maggioni, Natalie Staplin, Jonathan Emberson, Stefan Hantel, Shinya Goto, Rajat Deo, Katherine R Tuttle, Michael Hill, Parminder Judge, Kaitlin J Mayne, Sarah Y A Ng, Xavier Rossello, Emily Sammons, Doreen Zhu, Peter Sandercock, Rudolf Bilous, Charles Herzog, Paul Whelton, Janet Wittes, Derrick Bennett, Patricia Achiri, Chrissie Ambrose, Cristina Badin, Jill Barton, Richard Brown, Andy Burke, Sebastian Butler, Rejive Dayanandan, Pia Donaldson, Robert Dykas, Lucy Fletcher, Kate Frederick, Hannah Kingston, Mo Gray, Emily Harding, Akiko Hashimoto, Lyn Howie, Susan Hurley, Ryonfa Lee, Nik Luker, Kevin Murphy, Mariko Nakahara, John Nolan, Michelle Nunn, Sorcha Mulligan, Akiko Omata, Sandra Pickworth, YanRu Qiao, Shraddha Shah, Karen Taylor, Alison Timadjer, Monique Willett, Liz Wincott, Qin Yan, Hui Yu, Louise Bowman, Fang Chen, Robert Clarke, Michelle Goonasekera, Waseem Karsan, Marion Mafham, Christina Reith, Mohammed Zayed, Ritva Ellison, Rowan Moys, Will Stevens, Kevin Verdel, Karl Wallendszus, Chris Bowler, Anna Brewer, Andy Measor, Guanguo Cui, Charles Daniels, Angela Field, Bob Goodenough, Ashley Lawson, Youcef Mostefai, Dheeptha Radhakrishnan, Samee Syed, Shuang Xia, Ruth Adewuyi-Dalton, Thomas Arnold, Anne-Marie Beneat, Anoushka Bhatt, Chloe Bird, Andrew Breach, Laura Brown, Mark Caple, Tatyana Chavagnon, Karen Chung, Sarah Clark, Luminita Condurache, Katarzyna Eichstadt, Marta Espino Obrero, Scarlett Forest, Helen French, Nick Goodwin, Andrew Gordon, Joanne Gordon, Cat Guest, Tina Harding, Michal Hozak, Matthew Lacey, David MacLean, Louise Messinger, Stewart Moffat, Martin Radley, Claire Shenton, Sarah Tipper, Jon Tyler, Lesley Weaving, James Wheeler, Elissa Williams, Tim Williams, Hamish Woodhouse, Angela Chamberlain, Jo Chambers, Joanne Davies, Denise Donaldson, Pati Faria-Shayler, Denise Fleming-Brown, Jennifer Ingell, Carol Knott, Anna Liew, Helen Lochhead, Juliette Meek, Isabel Rodriguez-Bachiller, Andrea Wilson, Patrick Zettergren, Rach AitSadi, Ian Barton, Alex Baxter, Yonghong Bu, Lukasz Danel, Sonja Grotjahn, Rijo Kurien, Michael Lay, Archie Maskill, Aleksandra Murawska, Rachel Raff, Allen Young, Rebecca Sardell, Vladimir Cejka, Marcela Fajardo-Moser, Christian Hartner, Doris Poehler, Janina Renner, Franziska Scheidemantel, Miya Bryant, Anita Hepditch, Cassandra Johnson, Erin Latore, Yolanda Miller, Lauren Price, Merilee Whalen, Ashleigh Wheeler, Jenny Ingell, Yu An, Yinghua Chen, Peiling Chen, Hao Dai, Hong Du, Fang Feng, Qing Guo, Libo Hou, Wuhanbilige Hundei, Binbin Jin, Yan Li, Jiamin Liu, Xia Song, Yanping Wang, Yanwu Yu, Ning Zhang, Lingshan Zhao, Hui Zhong, Cheng Beng Goh, Ye Mun Low, Soon Yi Sor, Farah Hanis Zulkipli, Sarojini Sivanandam, Natsuki Arai, Ai Fukasawa, Mizue Furukawa, Keisuke Habuki, Shoko Hayashi, Wakako Isari, Saki Kanegae, Maria Kawai, Reiki Kobayashi, Takako Kuramae, Chika Kuribayashi, Sawako Maeno, Satoshi Masumoto, Tomoko Morisaki, Minoru Oda, Kazue Sawada, Kenta Sugamori, Ayana Tatsuzawa, Aiko Tomita, Kazuyuki Yuasa, Hiroko Inazawa, Amanda Axler, Kerri Gallo, Ester Baldini, Barbara Bartolomei Mecatti, Francesca Bianchini, Martina Ceseri, Laura Cipressa, Gianna Fabbri, Andrea Lorimer, Donata Lucci, Sharang Ghavampour, Anja Knoppe, Hans Schmidt-Gurtler, Hubert Dumann, Sybille Merscher, Margret Patecki, Georg Rainer Schlieper, Anke Torp, Bianca Weber, Maja Zietz, Bernd Hohenstein, Urs Benck, Diliana Draganova, Thomas Weinreich, Lothar Wolf, Jasmine Gaidu, Hanna Reiner, Mandy Visnjic, Daniel Steffl, Marie Breitenfeldt, Annette Kraemer-Guth, Christine Braun, Simone Hagge, Michael Schomig, Stephan Matthias, Dominik Stoffler, Beate Schumacher, Thomas Sitter, Louise Fuessl, Julia Krappe, Jerome Loutan, Volker Vielhauer, Luciano Andriaccio, Magdalena Maurer, Bernhard Winkelmann, Martin Dursch, Linda Seifert, Linda Tenbusch, Julia Weinmann-Menke, Simone Boedecker, Wiebke Kaluza-Schilling, Daniel Kraus, Carina Krieger, Margit Schmude, Anne Schreiber, Ewelina Eckrich, Diethelm Tschope, Abdulwahab Arbi, Young Lee-Barkey, Bernd Stratmann, Natalie Prib, Sina Rolfsmeier, Irina Schneider, Lars Rump, Johannes Stegbauer, Christine Pötz, Mara Schemmelmann, Claudia Schmidt, Michael Koch, Sendogan Aker, Annika Küpper, Manuela Martin, Thiemo Pfab, Christian Albert, Michael Haase, Barbara Zander, Claudia Schneider-Danwitz, Wolfgang Seeger, Wolf-Adam Seeger, Britta Zemann, Christoph Stellbrink, Kristin Marx, Ekaterina Stellbrink, Britta Brettschneider, Stephanie Watson, Marion Iselt, Gerhard Klausmann, Inga-Nadine Kummer, Auguste Kutschat, Simone Streitenberger, Matthias Girndt, Silke Markau, Ina Girakossyan, Claudia Hanf, Joachim Beige, Ralph Wendt, Ulrike Schmidt, Andreas Schneider, Roland Veelken, Claudia Donhauser, Luis Becker, Nexhat Miftari, Ricarda Wolfling, Sarah Morlok, Christian Hugo, Alexander Paliege, Jens Passauer, Julian Stumpf, Annegret Fleischer, Kerstin Haaser, Bernhard Kraemer, Jan Jochims, Bernd Kruger, Claudia Foellinger, Anastassiya Reisler, Frank Strutz, Stefan Haack, Ursula Hohenstatt, Martin Busch, Konstantin Herfurth, Gunter Wolf, Rainer Paul, Hermann Haller, Jessica Kaufeld, Jan Menne, Elisabeth Bahlmann-Kroll, Angela Bergner, Horst Weihprecht, Aydin Er, Florian Sonntag, Elif Turan, Michael Wittmann, Franziska Klauser, Eva Voigt, Volker Schettler, Egbert Schulz, Madlen Rohnstock, Elke Schettler, Bernd Schroppel, Rene van Erp, Martin Kachele, Ulla Ludwig, Lena Schulte-Kemna, Waltraud Kmietschak, Elke Preiss, Martina Ruocco, Gunnar Heine, Martin Brzoska, Sebastian Gabel, Christina Büttner, Asma Sabarai, Bernhard Banas, Tobias Bergler, Yvonne Ehrl, Franz Putz, Antonia Schuster, Stefanie Kuhn, Torsten Schramm, Stefan Degenhardt, Gerhard Schmidt, Lea Weiland, Ulrike Giebeln-Hudnell, Jan Kielstein, Gabriele Eden, Brigitte Fuchs, Gina Morig, Manuela Winkler, Harald Darius, Charalampos Kriatselis, Carl-Philipp Roesch, Astrid Maselli, Dominik Alscher, Markus Ketteler, Moritz Schanz, Severin Schricker, Bianka Rettenmaier, Andrea Schwab, Pablo Pergola, Irene Leal, Melissa Cagle, Anna Romo, Anthony Torres, Sucharit Joshi, Kulli Barrett, Alexis Africano, Vicki Dodds, Dorleena Gowen, Ashlee Morris, Juan Fernandez, Guillermo Jimenez, Ricardo Viera, Kendaling Bruce, Ryan Barrios, Maylin Garcia, Kerelyn Garcia, Iradis Leal, David Tietjen, David Bains, Carlo Castillo, Genielle Brewer, Justin Davis, Natalie Freking, Brittany Golson, Sally Ham, Jesslyn Roesch, Pusadee Suchinda, Shameem Beigh, Usah Lilavivat, Joyce Bilton, Kim Bocchicchia, Jeffrey Turner, Neera Dahl, Aldo Peixoto, Yasemin Kavak, Lauren Liberti, Hari Nair, Nicolas Page, Stephanie Rosenberg, Kathryn Simmons, Tamara Isakova, Rebecca Frazier, Rupal Mehta, Anand Srivastava, Patrick Fox, Jonathan Hecktman, Alexander Hodakowski, Carlos Martinez, Rachel Phillips, Alexis Stevenson, Reem Mustafa, Kyle Jansson, Cassandra Kimber, Jason Stubbs, Ahmad Tuffaha, Sri Yarlagadda, Debbie Griffin, Elisabeth Laundy, Zhuo Tang, Radica Alicic, Ann Cooper, Lisa Davis, Ashwini Gore, Rebecca Goldfaden, Leslie Harvill, Lisa Hichkad, Barry Johns, Thomas Jones, Kayla Merritt, Jennifer Sheldon, Jennifer Stanfield, Lindsay Alexander, Kaitlyn Preston, Lindsey Wood, Rajesh Pradhan, Roger DeRaad, Kelli McIntosh, Louis Raymond, Michael Shepperd, Susan McLaughlin, Mary Seifert, Andrew Shepherd, Joseph Aiello, William Durham, Laurie Loudermilk, John Manley, Sabrina Burnette, Stephanie Evans, Tara Johnson, Lance Sloan, Judy Ann Acosta, Stacy Gillham, Katia Sloan, SueAnn Squyres, Michael Rocco, Amret Hawfield, Ben Bagwell, Lauren Richmond, Joseph Soufer, Subha Clarke, Amanda Aliu, Kristine Calabrese, Amanda Davis, Veronica Poma, Tracy Spinola, James Magee, Ricardo Silva, Rushab Choksi, Lorraine Dajani, John Evans, Anil George, Prasanth Krish, Gerard Martins, Mae Sheikh-Ali, David Sutton, Freda Driver, Abraham Hanburry, Laura Hume, Amber Hurst, Matthew Taddeo, Marla Turner, Veronica Yousif, Srinivasan Beddhu, Laith Al-Rabadi, Nikita Abraham, Amalia Caamano, Judy Carle, Victoria Gonce, Kaitlyn Staylor, Na Zhou, Shweta Bansal, Manoj Bhattarai, Kumar Sharma, Subrata Debnath, Aliseiya Garza, Chakradhar Velagapudi, Sergio Rovner, Javier Almeida, Pablo Casares, Verlaine Stewart-Ray, Rene Almaraz, Renata Dayrell, Ana Moncada, Ricardo Pulido, Roxana Rodriquez, Wasim Deeb, Kathryn DeGoursey, Rodel Gloria, Trevor Greene, Robert Miller, Edward Pereira, Miguel Roura, Debbie Domingo, Sasha Dorestin, William Hodge, Cathy Jackson, Deborah Lund, Katrina Taylor, Kenneth Boren, Brittany Cleveland, Sandra Gaiser, Mandeep Sahani, Logan Aldrich, Exodus Edmerson, Edmond Limon, Cole Valletta, Patricia Vasquez, Christopher Provenzano, Navkiranjot Brar, Heather Henderson, Bellovich Keith, Qur Khai, Quresh Khairullah, Gail Makos, Joel Topf, Sherry Gasko, Rosemarie Henschel, Kaitlin Knapp, Teresa Kozlowski, Paula LaFleur, Ashwathy Varughese, Hui Xue, Patricia Wu, Olga Arechiga, Shan Darbeau, Michael Fechter, Stephanie Martinez, Lenita Hanson, Nyla Cooper, Arelis Madera, Jay Cadorna, Rita Sheridan, Helen Sparks, Bradley Eilerman, Susanne Bodine, Wael Eid, Rebecca Flora, Amber Avery, Cashmere Hardy, Mihaela Biscoveanu, Steven Nagelberg, Tracey Cummins, Frederic Rahbari-Oskoui, Anju Oommen, Zohreh Forghani, Stacie Hitchcock, Darya Hosein, Diane Watkins, Minesh Patel, Anthony Lambert, Elizabeth Newman, Autumn Wood, Tammy Ross, Stephany Topping, Jeffrey Mulhern, Lorna Murphy, Ann Vasseur, Gregory Greenwood, Alexander Hadley, Denise Laurienti, Christopher Marshall, Nicholas McLean, Scott Satko, Brandy Caudill, Jacob Maris, Janice Rogers, Cindy Vanhoy, George Thomas, Georges Nakhoul, John O'Toole, Jonathan Taliercio, Leslie Cooperman, Marina Markovic, Barbara Tucky, Devasmita Dev, Alia Hasan, Hima Yalamanchili, Namita Jain, Lesley McNeil, Eric Wines, Jean Park, Adline Ghazi, Mia Hamm, Tejas Patel, Amy Mottl, Emily Chang, Vimal Derebail, Emmie Cole, Anne Froment, Sara Kelley, Jordan Osmond Foster, Vahid Mahabadi, Golriz Jafari, Anita Kamarzarian, Wendy Arriaga, Daisy Arteaga, Rosario Machicado, Genesis Naverrete, Prashant Kumar, Imran Nazeer, Karina Urquia, Tammi Glider, Vickie Jones, Savannah Rucker, Jennifer Wiley, Rahul Pandey, Jesus Arroyo, Harish Pariani, Mohammad Ahmad, Shahin Mozaffari, Erika Perez, Matthew Budoff, Sion Roy, Divya Birudaraju, Ahmed Ghanem, Sajad Hamal, Stephen Aronoff, Elisa Joye Petr, Richard Sachson, Jaime Wiebel, Sana Akram, Laurie Jones, Curtis Knight, Maurie Tarlac, Shahbaz Ahmed, Harold Szerlip, Akinwande Akinfolarin, Ankit Mehta, Shana Camp, Cindy Castro, Zanaida Cooper, Jessica Terry, Ahmed Awad, Bhavya Kothapalli, Ryan Lustig, Serine Alfaress, Hyder Jasim, Mary Parrigon, Dennis Karounos, Sadiq Ahmed, Maggie Berry, Ruth Oremus, Carlos Hernandez-Cassis, Elias Ugwu, Nazia Junejo, Nancy Suazo, Mark Segal, Amir Kazory, Sherry Brown, Tristan Daniels, Sofia Dayi, Renee Hogan, Kathy McCray, Jennifer Stickley, Mahboob Rahman, Mirela Dobre, Lavinia Negrea, Aparna Padiyar, Nishigandha Pradhan, Arash Rashidi, Nagaraju Sarabu, Vicki Donley, Tricia Young, Godson Oguchi, Judepatricks Onyema, Kahla Damianik, Jack Dienes, Judith Plummer-Morgan, Marilyn Roman, Mauver Skipper, Stacey-Ann Villaruel, Krystle Williams, Danny Sugimoto, Jeffrey Dugas, Ismeal Ahmed, Jamie Bhairoo, Dolores Rijos, Huzaifa Salim, Madita Gavrila, Kathryn Lafferty, Ria Rabara, Sally Ruse, Maria Weetman, James Bushnell, Albert Power, Alison Jenkins, Stefanie Jones, Amanda Scott, Cath Byrne, Mark Jesky, Alison Cowley, Emma McHaffie, Holly Waterfall, Jo Taylor, Laura Bough, Thomas Phillips, Barbara Winter-Goodwin, Sui Phin Kon, Iain MacDougall, Eirini Lioudaki, Sapna Shah, Claire Sharpe, Francisco Aguilar, Abegail Hernandez Pena, Conception Pugay, Amelia Te, Hugh Finn, Wasim Hanif, Samiul Mostafa, Alice Aitken, Katharine Draxlbauer, Evelina Grobovaite, Jennifer Kearney, Theresa McCarthy, Giorgio Gentile, Duncan Browne, Palanichamy Chellamuthu, Tabinda Dugal, Terri Chant, Laura Jones, Emily Laity, Megan Miners, James Muir, Elizabeth Swanson, Andrew Frankel, James Tomlinson, Marlon Alegata, Rashid Almasarwah, Anthoula Apostolidi, Maria Vourvou, Thomas Walters, Maarten Taal, Hari Dukka, Nitin Kolhe, Carly McDonald, Kelly White, Shiva Ugni, Smita Gunda, Rotimi Oluyombo, Vicki Brindle, Ping Coutts, Tracy Fuller, Evelyn Nadar, Suresh Ramadoss, Nichola Motherwell, Susannah Pajak, Louise Tonks, Sunil Bhandari, Richard Bodington, Adil Hazara, Dominic Fellowes, Christopher Wong, Christopher Goldsmith, Sherald Barnes, Ann Bennett, Claire Burston, Samantha Hope, Nicola Hunt, Lini Kurian, Richard Fish, Daniela Farrugia, Judy Lee, Emma Sadler, Hannah Turner, Christopher Hill, Henry Brown, Agnes Masengu, Peter Maxwell, Nina Bleakley, Hugh Murtagh, William Petchey, Vivian Yiu, Joanne Kellett, Angharad Williams, Helen Clarke, Victoria Carnall, Sarah Benyon, Caroline Blake, Stephanie Estcourt, Jane Piper, Neal Morgan, Carolyn Hutchinson, Teresa McKinley, Alastair Woodman, Judi Graham, Niall Leonard, John Smyth, Vicki Adell, Samantha Hagan, Ben Caplin, Amin Oomatia, Eleanor Damian, Toluleyi Sobande, Tim Doulton, Michael Delaney, Mahmoud Montasser, Jenny Hansen, David Loader, Angela Moon, Frances Morris, Smeeta Sinha, Chukwuma Chukwu, Amy Hudson, Diane Campbell, Melanie Kershaw, Stephanie Whittaker, Ayesha Irtiza-Ali, Farid Ghalli, Heba Nosseir, Allison Leslie, Kate Trivedi, Donald Fraser, Mohammad Alhadj Ali, Sian Griffin, Farah Latif, Justyna Witczak, Alexa Wonnacott, Lynda Jeffers, Yvette Webley, Paul Phelan, Eve Miller-Hodges, Ailsa Geddes, Margaret Glenwright, Amy Hunter, Thomas Pickett, Jim Moriarty, Linda Hill, Amanda Tyler, Waqar Ayub, Gail Evans, Sue Hewins, Davina Hewitt, Kerry Read, Samira Bell, Leanne Cosgrove, Rachel Craik, Shona Murray, Nitin Bhandary, Holly Coles, Rashmi Easow, Maya Joseph, Arif Khwaja, Yvonne Jackson, Angeline Mbuyisa, Rachel Sellars, Nihil Chitalia, Cynthia Mohandas, Anca Gherman, Charlotte Kamundi, Olumide Olufuwa, Kieran McCafferty, Adedolapo Adeleke, Cara Healy, Damini Jeyarajah, Edward Kinsella-Perks, Richard Smith, Brian Camilleri, Carol Buckman, Jenny Finch, Vanessa Rivers, Andrew Connor, Sheila Carr, Lisa Shainberg, Andrew Lewington, Richard Baker, Suzannah Dorey, Kay Tobin, Rosalyn Wheatley, Debasish Banerjee, Richard Hull, Sharirose Abat, Riny Paul, Mahzuz Karim, Zay Htet, Saad Tufail, Ravi Varma, Karen Convery, Deirdre Fottrell-Gould, Lisa Hudig, Emily Tropman, Thahir Abdul-Samad, Anne Grace, Marie Phipps, Rebecca Suckling, Subash Somalanka, Bhrigu Sood, Pauline Swift, Sarah Acheampong, Kwame Ansu, Martia Augustin, Anna Sampson, Lynn Vinall, Kim Wren, Shamila Wanninayake, Nicholas Wooding, Heather Edwards, Lydia Owen, Stephanie Bolton, Marion Carson, Michael Matthews, Nigel Brunskill, Jorge Jesus-Silva, Alex Howson, Mary Quashie-Akponeware, Hilary Tindall, Chidambaram Nethaji, Helen Eldon, Rajan Patel, Patrick Mark, Alastair Rankin, Michael Sullivan, Kirsty 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Andrea, Pergola, Pablo, Leal, Irene, Cagle, Melissa, Romo, Anna, Torres, Anthony, Joshi, Sucharit, Barrett, Kulli, Africano, Alexi, Dodds, Vicki, Gowen, Dorleena, Morris, Ashlee, Fernandez, Juan, Jimenez, Guillermo, Viera, Ricardo, Bruce, Kendaling, Barrios, Ryan, Garcia, Maylin, Garcia, Kerelyn, Leal, Iradi, Tietjen, David, Bains, David, Castillo, Carlo, Brewer, Genielle, Davis, Justin, Freking, Natalie, Golson, Brittany, Ham, Sally, Roesch, Jesslyn, Suchinda, Pusadee, Beigh, Shameem, Lilavivat, Usah, Bilton, Joyce, Bocchicchia, Kim, Turner, Jeffrey, Dahl, Neera, Peixoto, Aldo, Kavak, Yasemin, Liberti, Lauren, Nair, Hari, Page, Nicola, Rosenberg, Stephanie, Simmons, Kathryn, Isakova, Tamara, Frazier, Rebecca, Mehta, Rupal, Srivastava, Anand, Fox, Patrick, Hecktman, Jonathan, Hodakowski, Alexander, Martinez, Carlo, Phillips, Rachel, Stevenson, Alexi, Mustafa, Reem, Jansson, Kyle, Kimber, Cassandra, Stubbs, Jason, Tuffaha, Ahmad, Yarlagadda, Sri, Griffin, Debbie, Laundy, Elisabeth, Tang, Zhuo, Alicic, Radica, Cooper, Ann, Davis, Lisa, Gore, Ashwini, Goldfaden, Rebecca, Harvill, Leslie, Hichkad, Lisa, Johns, Barry, Jones, Thoma, Merritt, Kayla, Sheldon, Jennifer, Stanfield, Jennifer, Alexander, Lindsay, Preston, Kaitlyn, Wood, Lindsey, Pradhan, Rajesh, Deraad, Roger, Mcintosh, Kelli, Raymond, Loui, Shepperd, Michael, Mclaughlin, Susan, Seifert, Mary, Shepherd, Andrew, Aiello, Joseph, Durham, William, Loudermilk, Laurie, Manley, John, Burnette, Sabrina, Evans, Stephanie, Johnson, Tara, Sloan, Lance, Ann Acosta, Judy, Gillham, Stacy, Sloan, Katia, Squyres, Sueann, Rocco, Michael, Hawfield, Amret, Bagwell, Ben, Richmond, Lauren, Soufer, Joseph, Clarke, Subha, Aliu, Amanda, Calabrese, Kristine, Davis, Amanda, Poma, Veronica, Spinola, Tracy, Magee, Jame, Silva, Ricardo, Choksi, Rushab, Dajani, Lorraine, Evans, John, George, Anil, Krish, Prasanth, Martins, Gerard, Sheikh-Ali, Mae, Sutton, David, Driver, Freda, Hanburry, Abraham, Hume, Laura, Hurst, Amber, Taddeo, Matthew, Turner, Marla, Yousif, Veronica, Beddhu, Srinivasan, Al-Rabadi, Laith, Abraham, Nikita, Caamano, Amalia, Carle, Judy, Gonce, Victoria, Staylor, Kaitlyn, Zhou, Na, Bansal, Shweta, Bhattarai, Manoj, Sharma, Kumar, Debnath, Subrata, Garza, Aliseiya, Velagapudi, Chakradhar, Rovner, Sergio, Almeida, Javier, Casares, Pablo, Stewart-Ray, Verlaine, Almaraz, Rene, Dayrell, Renata, Moncada, Ana, Pulido, Ricardo, Rodriquez, Roxana, Deeb, Wasim, Degoursey, Kathryn, Gloria, Rodel, Greene, Trevor, Miller, Robert, Pereira, Edward, Roura, Miguel, Domingo, Debbie, Dorestin, Sasha, Hodge, William, Jackson, Cathy, Lund, Deborah, Taylor, Katrina, Boren, Kenneth, Cleveland, Brittany, Gaiser, Sandra, Sahani, Mandeep, Aldrich, Logan, Edmerson, Exodu, Limon, Edmond, Valletta, Cole, Vasquez, Patricia, Provenzano, Christopher, Brar, Navkiranjot, Henderson, Heather, Keith, Bellovich, Khai, Qur, Khairullah, Quresh, Makos, Gail, Topf, Joel, Gasko, Sherry, Henschel, Rosemarie, Knapp, Kaitlin, Kozlowski, Teresa, Lafleur, Paula, Varughese, Ashwathy, Xue, Hui, Wu, Patricia, Arechiga, Olga, Darbeau, Shan, Fechter, Michael, Martinez, Stephanie, Hanson, Lenita, Cooper, Nyla, Madera, Areli, Cadorna, Jay, Sheridan, Rita, Sparks, Helen, Eilerman, Bradley, Bodine, Susanne, Eid, Wael, Flora, Rebecca, Avery, Amber, Hardy, Cashmere, Biscoveanu, Mihaela, Nagelberg, Steven, Cummins, Tracey, Rahbari-Oskoui, Frederic, Oommen, Anju, Forghani, Zohreh, Hitchcock, Stacie, Hosein, Darya, Watkins, Diane, Patel, Minesh, Lambert, Anthony, Newman, Elizabeth, Wood, Autumn, Ross, Tammy, Topping, Stephany, Mulhern, Jeffrey, Murphy, Lorna, Vasseur, Ann, Greenwood, Gregory, Hadley, Alexander, Laurienti, Denise, Marshall, Christopher, Mclean, Nichola, Satko, Scott, Caudill, Brandy, Maris, Jacob, Rogers, Janice, Vanhoy, Cindy, Thomas, George, Nakhoul, George, O'Toole, John, Taliercio, Jonathan, Cooperman, Leslie, Markovic, Marina, Tucky, Barbara, Dev, Devasmita, Hasan, Alia, Yalamanchili, Hima, Jain, Namita, Mcneil, Lesley, Wines, Eric, Park, Jean, Ghazi, Adline, Hamm, Mia, Patel, Teja, Mottl, Amy, Chang, Emily, Derebail, Vimal, Cole, Emmie, Froment, Anne, Kelley, Sara, Osmond Foster, Jordan, Mahabadi, Vahid, Jafari, Golriz, Kamarzarian, Anita, Arriaga, Wendy, Arteaga, Daisy, Machicado, Rosario, Naverrete, Genesi, Kumar, Prashant, Nazeer, Imran, Urquia, Karina, Glider, Tammi, Jones, Vickie, Rucker, Savannah, Wiley, Jennifer, Pandey, Rahul, Arroyo, Jesu, Pariani, Harish, Ahmad, Mohammad, Mozaffari, Shahin, Perez, Erika, Budoff, Matthew, Roy, Sion, Birudaraju, Divya, Ghanem, Ahmed, Hamal, Sajad, Aronoff, Stephen, Joye Petr, Elisa, Sachson, Richard, Wiebel, Jaime, Akram, Sana, Jones, Laurie, Knight, Curti, Tarlac, Maurie, Ahmed, Shahbaz, Szerlip, Harold, Akinfolarin, Akinwande, Mehta, Ankit, Camp, Shana, Castro, Cindy, Cooper, Zanaida, Terry, Jessica, Awad, Ahmed, Kothapalli, Bhavya, Lustig, Ryan, Alfaress, Serine, Jasim, Hyder, Parrigon, Mary, Karounos, Denni, Ahmed, Sadiq, Berry, Maggie, Oremus, Ruth, Hernandez-Cassis, Carlo, Ugwu, Elia, Junejo, Nazia, Suazo, Nancy, Segal, Mark, Kazory, Amir, Brown, Sherry, Daniels, Tristan, Dayi, Sofia, Hogan, Renee, Mccray, Kathy, Stickley, Jennifer, Rahman, Mahboob, Dobre, Mirela, Negrea, Lavinia, Padiyar, Aparna, Pradhan, Nishigandha, Rashidi, Arash, Sarabu, Nagaraju, Donley, Vicki, Young, Tricia, Oguchi, Godson, Onyema, Judepatrick, Damianik, Kahla, Dienes, Jack, Plummer-Morgan, Judith, Roman, Marilyn, Skipper, Mauver, Villaruel, Stacey-Ann, Williams, Krystle, Sugimoto, Danny, Dugas, Jeffrey, Ahmed, Ismeal, Bhairoo, Jamie, Rijos, Dolore, Salim, Huzaifa, Gavrila, Madita, Lafferty, Kathryn, Rabara, Ria, Ruse, Sally, Weetman, Maria, Bushnell, Jame, Power, Albert, Jenkins, Alison, Jones, Stefanie, Scott, Amanda, Byrne, Cath, Jesky, Mark, Cowley, Alison, Mchaffie, Emma, Waterfall, Holly, Taylor, Jo, Bough, Laura, Phillips, Thoma, Winter-Goodwin, Barbara, Phin Kon, Sui, Macdougall, Iain, Lioudaki, Eirini, Shah, Sapna, Sharpe, Claire, Aguilar, Francisco, Hernandez Pena, Abegail, Pugay, Conception, Te, Amelia, Finn, Hugh, Hanif, Wasim, Mostafa, Samiul, Aitken, Alice, Draxlbauer, Katharine, Grobovaite, Evelina, Kearney, Jennifer, Mccarthy, Theresa, Gentile, Giorgio, Browne, Duncan, Chellamuthu, Palanichamy, Dugal, Tabinda, Chant, Terri, Jones, Laura, Laity, Emily, Miners, Megan, Muir, Jame, Swanson, Elizabeth, Frankel, Andrew, Tomlinson, Jame, Alegata, Marlon, Almasarwah, Rashid, Apostolidi, Anthoula, Vourvou, Maria, Walters, Thoma, Taal, Maarten, Dukka, Hari, Kolhe, Nitin, Mcdonald, Carly, White, Kelly, Ugni, Shiva, Gunda, Smita, Oluyombo, Rotimi, Brindle, Vicki, Coutts, Ping, Fuller, Tracy, Nadar, Evelyn, Ramadoss, Suresh, Motherwell, Nichola, Pajak, Susannah, Tonks, Louise, Bhandari, Sunil, Bodington, Richard, Hazara, Adil, Fellowes, Dominic, Wong, Christopher, Goldsmith, Christopher, Barnes, Sherald, Bennett, Ann, Burston, Claire, Hope, Samantha, Hunt, Nicola, Kurian, Lini, Fish, Richard, Farrugia, Daniela, Lee, Judy, Sadler, Emma, Turner, Hannah, Hill, Christopher, Brown, Henry, Masengu, Agne, Maxwell, Peter, Bleakley, Nina, Murtagh, Hugh, Petchey, William, Yiu, Vivian, Kellett, Joanne, Williams, Angharad, Clarke, Helen, Carnall, Victoria, Benyon, Sarah, Blake, Caroline, Estcourt, Stephanie, Piper, Jane, Morgan, Neal, Hutchinson, Carolyn, Mckinley, Teresa, Woodman, Alastair, Graham, Judi, Leonard, Niall, Smyth, John, Adell, Vicki, Hagan, Samantha, Caplin, Ben, Oomatia, Amin, Damian, Eleanor, Sobande, Toluleyi, Doulton, Tim, Delaney, Michael, Montasser, Mahmoud, Hansen, Jenny, Loader, David, Moon, Angela, Morris, France, Sinha, Smeeta, Chukwu, Chukwuma, Hudson, Amy, Campbell, Diane, Kershaw, Melanie, Whittaker, Stephanie, Irtiza-Ali, Ayesha, Ghalli, Farid, Nosseir, Heba, Leslie, Allison, Trivedi, Kate, Fraser, Donald, Alhadj Ali, Mohammad, Griffin, Sian, Latif, Farah, Witczak, Justyna, Wonnacott, Alexa, Jeffers, Lynda, Webley, Yvette, Phelan, Paul, Miller-Hodges, Eve, Geddes, Ailsa, Glenwright, Margaret, Hunter, Amy, Pickett, Thoma, Moriarty, Jim, Hill, Linda, Tyler, Amanda, Ayub, Waqar, Evans, Gail, Hewins, Sue, Hewitt, Davina, Read, Kerry, Bell, Samira, Cosgrove, Leanne, Craik, Rachel, Murray, Shona, Bhandary, Nitin, Coles, Holly, Easow, Rashmi, Joseph, Maya, Khwaja, Arif, Jackson, Yvonne, Mbuyisa, Angeline, Sellars, Rachel, Chitalia, Nihil, Mohandas, Cynthia, Gherman, Anca, Kamundi, Charlotte, Olufuwa, Olumide, Mccafferty, Kieran, Adeleke, Adedolapo, Healy, Cara, Jeyarajah, Damini, Kinsella-Perks, Edward, Smith, Richard, Camilleri, Brian, Buckman, Carol, Finch, Jenny, Rivers, Vanessa, Connor, Andrew, Carr, Sheila, Shainberg, Lisa, Lewington, Andrew, Baker, Richard, Dorey, Suzannah, Tobin, Kay, Wheatley, Rosalyn, Banerjee, Debasish, Hull, Richard, Abat, Sharirose, Paul, Riny, Karim, Mahzuz, Htet, Zay, Tufail, Saad, Varma, Ravi, Convery, Karen, Fottrell-Gould, Deirdre, Hudig, Lisa, Tropman, Emily, Abdul-Samad, Thahir, Grace, Anne, Phipps, Marie, Suckling, Rebecca, Somalanka, Subash, Sood, Bhrigu, Swift, Pauline, Acheampong, Sarah, Ansu, Kwame, Augustin, Martia, Sampson, Anna, Vinall, Lynn, Wren, Kim, Wanninayake, Shamila, Wooding, Nichola, Edwards, Heather, Owen, Lydia, Bolton, Stephanie, Carson, Marion, Matthews, Michael, Brunskill, Nigel, Jesus-Silva, Jorge, Howson, Alex, Quashie-Akponeware, Mary, Tindall, Hilary, Nethaji, Chidambaram, Eldon, Helen, Patel, Rajan, Mark, Patrick, Rankin, Alastair, Sullivan, Michael, Forsyth, Kirsty, Mcdougall, Rowan, Dasgupta, Tanaji, Davies, Louisa, Ryder, Maggie, Grimmer, Philip, Macdonald, Clare, Webster, Mary, Newcastle, Newcastle, Ellam, Timothy, Wong, Edwin, Meshykhi, Christine, Webster, Andrea, Wilson, Peter, Vilar, Enric, Berdeprado, Jocelyn, Doctolero, Eunice, Wilkinson, Lily, Mccarroll, Frank, Ammar, Hesham, Kuan, Ying, Moran, Conor, Shivashankar, Girish, Campbell, Ryan, Glowski, Deborah, Mcdermott, Paula, Ali, Amar, Patel, Zuber, Bond, Christine, Whalley, Gillian, Zhang, Haitao, Yang, Liu, Zhang, Lihua, Kan, Tingting, Zhu, Ling, Zhao, Jinghong, Hou, Weiping, Wu, Jing, Cheng, Hong, Bian, Weijing, Zhao, Zhirui, Shao, Fengmin, Cao, Huixia, Jiao, Xiaojing, Niu, Peiyuan, Niu, Jianying, Chen, Yu, Zhang, Lihong, Zhu, Shenglang, Lin, Haiyan, Yao, Shaopeng, Chen, Jiehui, Jiang, Ying, Hu, Ying, Xiao, Huaying, Yang, Fuye, Zhang, Xinzhou, Guo, Baochun, Jin, Qiu, Liu, Lixia, Xiao, Xiangcheng, Xie, Yanyun, Meng, Ting, Xu, Chuanwen, Huang, Jie, Xu, Yanmei, Kong, Weixin, Wang, Xiaoliang, Liu, Qianpan, Wang, Xueying, Gao, Ming, Hu, Xiumei, Lu, Ying, Wang, Li, Peng, Kun, Wang, Wei, Gong, Qiuhong, Cai, Jianfang, Li, Xiaojue, Liu, Xuejiao, Zhou, Shuhan, Liu, Hong, Weng, Yao, Tang, Shuai, Yao, Yao, Zhao, Shi, Cheng, Chen, Wei, Wei, Li, Na, Aqashiah Mazlan, Sadanah, Zubaidah Bahtar, Alia, Katiman, Elliyyin, Othman, Noraini, Mushahar, Lily, Mazlan, Nurdiana, Sharafina Safiee, Nur, Ramasamy, Sarasa, Seng Wong, Hin, Ahmad Rosdi, Hajar, Zhao Zhi Tan, Esther, Fan Tay, Ju, Seng Teng, Kok, Yahaya, Hasnah, Jiun Liu, Wen, Wee Ee, Lik, Kay Leong Khoo, Kenneth, Mohd Yusoff, Yuana, Safhan Mohamad Nor, Fariz, Kamil Ahmad, Mohd, Ramli Seman, Mohd, Hui Hong Tan, Clare, Lui Sian Ngu, Laura, Yoke May Chan, Jaime, Peji, Javelin, Loong Loh, Chek, Yan Lee, Yee, Ramanaidu, Sridhar, Mean Thong, Kah, Hong Wong, Yik, Junus, Suria, Hua Ching, Chen, Faisal Asmee, Mohammad, Ruziana Ku Md Razi, Ku, Leong Low, Chun, Sze Bing Sim, Christopher, Duan Tham, Zhang, Kamila Abdullah, Noor, Meng Chen, Tai, Chieh Chan, Yong, Chang, Eason, Yean Kang, Huan, Quan Lee, Kai, Ann Lee, Sue, Kheng Lee, Aik, Vinathan, Jeevika, Abdul Cader, Rizna, Mustafar, Ruslinda, Kamaruzaman, Lydia, Mohd, Rozita, Ismail, Rahimah, Men Leong, Chong, Koon Low, Chee, Wei Wong, Liang, Adnan, Norlezah, Ibrahim, Sabariah, Zaimi Abdul Wahab, Mohamad, Bavanandan, Sunita, Shen Lim, Yik, Hazlina Wan Mohamad, Wan, Munirah Jaafar, Siti, Ashykeen Mohd Fauzi, Nur, Sudin, Aziee, Kun Lim, Soo, Chung Gan, Chye, Hing, Albert, Ahmad Faizal Alaidin Razali, Wan, Fong Liew, Yew, Bao Tyng Chan, Chelsia, Chih Cheng, Mei, Chen Ong, Yu, Meng Ong, Loke, Amalina Mohamed Affandi, Farah, Rahmat, Korina, Chai Peng, Ban, Amat, Masayu, Hadafi Ahmad, Nuzaimin, Yee Mah, Doo, Loon Tye, Yi, Azhari, Zaid, Nabilah Mohamad Zaini, Siti, Aidil Musa, Mohd, Ahmad Miswan, Norazinizah, Ramli, Rafizanur, Aziah Ahmad, Nor, Leong Goh, Bak, Izah Ahmad, Nurul, Huda Ibrahim, Fairol, Jian Ng, Tze, Shanmuganathan, Malini, Lian Tay, Li, Harun, Zaiha, Ramli, Salmi, 'Ain Yusof, Nurul, Abd Rahman, Rossenizal, Iqbal Abdul Hafidz, Muhammad, Hidayati Mohd Sharif, Nur, Yasmoon Awang, Irda, Nakashima, Eitaro, Imamine, Rui, Minatoguchi, Makiko, Miura, Yukari, Nakaoka, Miduki, Suzuki, Yoshiki, Yoshikawa, Hitomi, Shin, Koki, Fujita, Kanae, Iwasa, Misuzu, Sasajima, Haruka, Sato, Airi, Hamamoto, Yoshiyuki, Fujita, Yuki, Haraguchi, Takuya, Hyo, Takanori, Izumi, Kiyohiro, Komiya, Toshiyuki, Kubota, Sodai, Kurose, Takeshi, Kuwata, Hitoshi, Nakatani, Susumu, Oishi, Kaori, Okamoto, Saki, Okamura, Kaori, Takeoka, Jun, Tanaka, Nagaaki, Tanigaki, Katsuya, Toda, Naohiro, Watanabe, Koin, Komori, Hiromi, Kumuji, Rika, Takesada, Asako, Tanaka, Aya, Maruyama, Shoichi, Hasegawa, Tomonori, Ishiguro, Akiko, Ishimoto, Takuji, Ito, Kazuhiro, Kamimura, Yutaka, Kato, Noritoshi, Kato, Sawako, Kojima, Hiroshi, Kosugi, Tomoki, Maeda, Kayaho, Mizuno, Masasi, Saito, Shoji, Sato, Hitomi, Sato, Yuka, Suzuki, Yasuhiro, Tanaka, Akihito, Yasuda, Yoshinari, Hasegawa, Fujiko, Hayashi, Maiko, Higashi, Shizuka, Shimamura, Kaho, Sumi, Momoko, Tajima, Kazuki, Unekawa, Chimaki, Wakayama, Kana, Wakita, Yukiko, Otani, Takatoshi, Imai, Ayako, Kawashima, Sayaka, Kogure, Eri, Sato, Tomoe, Takezawa, Misato, Yoshida, Shinya, Araki, Hideo, Katsuda, Yuko, Konishi, Masahiro, Matsunaga, Takahiro, Oe, Masashi, Ogane, Kunihiro, Sakai, Masato, Takahashi, Tomoko, Yamano, Takahiro, Yokoyama, Takuya, Ito, Hitomi, Katayama, Masayo, Kuroda, Emi, Ikeda, Toru, Kojo, Takuma, Yoshidome, Etsuo, Mizumachi, Rieko, Yamamoto, Akane, Yamasaki, Narihisa, Yamasaki, Yoshihiko, Wada, Jun, Eguchi, Jun, Higuchi, Chigusa, Katayama, Akihiro, Kinomura, Masaru, Kitagawa, Masashi, Kitamura, Shinji, Miyamoto, Satoshi, Morinaga, Hiroshi, Nakatsuka, Atsuko, Nojima, Ichiro, Shikata, Kenichi, Sugiyama, Hitoshi, Tanabe, Katsuyuki, Tsuji, Kenji, Uchida, Haruhito, Watanabe, Mayu, Hashimoto, Chie, Kato, Takahiro, Yamamoto, Sayaka, Wada, Takehiko, Fukagawa, Masafumi, Hamano, Naoto, Koizumi, Masahiro, Komaba, Hirotaka, Nakagawa, Yosuke, Iwamoto, Michiyo, Masutani, Kosuke, Katanosaka, Akane, Kiyota, Mayu, Uchi, Hikari, Ueda, Yuka, Yamamoto, Sonoka, Nagasu, Hajime, Itano, Seiji, Iwakura, Tsukasa, Kadoya, Hiroyuki, Kanda, Eiichiro, Kashihara, Naoki, Kidokoro, Kengo, Kondo, Megumi, Sasaki, Tamaki, Satoh, Minoru, Tokuyama, Atsuyuki, Umeno, Reina, Wada, Yoshihisa, Yamamoto, Toshiya, Yamanouchi, Yu, Abe, Masumi, Inukai, Yoko, Ogawa, Wataru, Asahara, Shunichiro, Fujii, Hideki, Goto, Shunsuke, Hirota, Yushi, Hosooka, Tetsuya, Kono, Keiji, Nishi, Shinichi, Okada, Yuko, Sakaguchi, Kazuhiko, Sugawara, Kenji, Takahashi, Michiko, Takai, Tomoko, Tamori, Yoshikazu, Watanabe, Kentaro, Kitajima, Miyu, Nishi, Misaki, Wada, Junko, Ito, Yasuhiko, Kamiya, Hideki, Asai, Akimasa, Asai, Nao, Asano, Saeko, Banno, Shogo, Ejima, Yohei, Hase, Hanako, Hayami, Tomohide, Himeno, Tatsuhito, Ishikawa, Takahiro, Ito, Mayumi, Iwagaitsu, Shiho, Kasagi, Rina, Kato, Yoshiro, Kato, Makoto, Kato, Koichi, Katsuno, Takayuki, Kawai, Miyuka, Kinashi, Hiroshi, Kondo, Masaki, Koshino, Masako, Matsuoka, Naoya, Morishita, Yoshiaki, Motegi, Mikio, Nakamura, Jiro, Shimoda, Hiromi, Sugiyama, Hirokazu, Tsunekawa, Shin, Yamaguchi, Makoto, Takahashi, Kazuyo, Watada, Hirotaka, Funayama, Takashi, Furukawa, Yasuhiko, Gohda, Tomohito, Goto, Hiromasa, Kaga, Hideyoshi, Kanaguchi, Yasuhiko, Kanazawa, Akio, Kaneko, Kayo, Kano, Toshiki, Kihara, Masao, Kimura, Shogo, Kobayashi, Takashi, Maiguma, Masayuki, Makita, Yuko, Mano, Satoshi, Mita, Tomoya, Miyatsuka, Takeshi, Murakoshi, Maki, Muto, Masahiro, Nakata, Masami, Nakata, Junichiro, Nishida, Yuya, Nohara, Nao, Ogihara, Takeshi, Sato, Daisuke, Sato, Junko, Sato, Hiroaki, Suzuki, Yusuke, Suzuki, Ruka, Suzuki, Hitoshi, Takagi, Miyuki, Tamura, Yoshifumi, Uchida, Toyoyoshi, Ueda, Seiji, Asawa, Miki, Miyaji, Minako, Nagashima, Eri, Shibata, Yoshie, Yanagisawa, Eri, Yamauchi, Toshimasa, Hirakawa, Yosuke, Nishi, Hiroshi, Shojima, Nobuhiro, Horikawa, Satoko, Nakayama, Yukiko, Yamada, Naoko, Omori, Yuki, Yano, Shintaro, Ioka, Miyabi, Kuwabara, Nahoko, Nagano, Remi, Nozawa, Megumi, Osawa, Yumi, Maegawa, Hiroshi, Kume, Shinji, Araki, Shinichi, Miyazawa, Itsuko, Morino, Katsutaro, Kawai, Ikuko, Sobata, Masumi, Takaoka, Motoko, Iwaita, Yasushi, Udagawa, Takashi, Inamori, Ami, Kawase, Aya, Yamanaka, Aya, Shimano, Hitoshi, Fujita, Akiko, Iwasaki, Hitoshi, Kai, Hirayasu, Osaki, Yoshinori, Saito, Chie, Sekiya, Motohiro, Tsunoda, Ryoya, Yamagata, Kunihiro, Nakamura, Rikako, Yamada, Aiko, Ohsugi, Mitsuru, Awazawa, Motoharu, Bouchi, Ryotaro, Hashimoto, Shota, Hashimoto, Makiko, Hisatake, Tomoko, Ihana, Noriko, Ishizuka, Koko, Izumi, Kazuo, Kajio, Hiroshi, Kobayashi, Michi, Kodani, Noriko, Maruyama, Koji, Matsumoto, Michihiro, Matsushita, Maya, Nakamura, Tomoka, Sugiyama, Takehiro, Tanabe, Akiyo, Terakawa, Aiko, Ueki, Kojiro, Orimo, Yuko, Ozawa, Takako, Takahira, Eriko, Yamasaki, Yoshimitsu, Haneda, Masakazu, Tomita, Tadahiro, Akimoto, Saori, Fujimoto, Akihiro, Ishihara, Kenji, Murakami, Chiho, Nishiyama, Akiyo, Toyonaga, Yukiko, Uozumi, Kana, Yamaji, Yukihiro, Shigehara, Tetsuya, Okajyo, Jun, Shimizu, Yukihiro, Iwasaki, Shingo, Fukao, Yuki, Furusho, Megumi, Nunokawa, Shintaro, Katagiri, Hideki, Izumi, Tomohito, Kaneko, Keizo, Kodama, Shinjiro, Miyazaki, Mariko, Munakata, Yuichiro, Nagasawa, Tasuku, Oe, Yuji, Sugawara, Hiroto, Takahashi, Kei, Hirata, Kazushige, Inomata, Keiko, Otomo, Shoko, Uchida, Taeko, Yamashita, Chigusa, Kiyosue, Arihiro, Tamura, Ryota, Dube, Francoi, Bolduc, Marilene, Talbot, Marie-Christine, Cham, Leslie, Lai, Vesta, Tse, Josephine, Jolly, Shivinder, Duck, Tabbatha, Lyle, Scott, Epp, Rachel, Galloway, Camille, Haskett, Susan, Matvienko, Elizabeta, Paulsen, Liam, Moist, Louise, Lozon, Zabrina, Ramsey, Tina, Whitmore, Brittany, Al-Zeer, Bader, Macleod, Paula, O'Sullivan, Aoife, Sheriff, Zainab, Tholl, Sam, Pandey, Amritanshu, Armstrong, Samantha, Gebeyehu, Bethelihem, Toth, Patrick, Goldenberg, Ronald, Jahangiriesmaili, Mahsa, Sanguila, Shariff, Suresh, Neethi, Talsania, Tanvi, Zalunardo, Nadia, Agharazii, Mohsen, Roussel, Marie-Pier, Saillant, Annie, Samson, France, Bajaj, Harpreet, Bhavsar, Miken, Dhall, Parul, Dhillon, Gagandeep, Grewal, Bhupinder, Nimbkar, Taniya, Madore, Francoi, Marcotte, Guylaine, Steen, Oren, Bullen, Mathura, Raguwaran, Shayani, Valleteau, Andre, Langlois, Marie-France, Brown, Christine, Steele, Andrew, Garrity, Melissa, Ghate, Taneera, Robinson, Holly, Tolibas, Michael, Tailor, Chetna, Elliott, Lauren, McClary-Wright, Christine, Boreky, Fadia, Fikry, Sameh, Ali, Ayesha, Barot, Chintankumar, Basily, Wagdy, Saram, Thisun, Varad, Vinay, Khandwala, Hasnain, Aguilera, Alex, Alvarez, Patricia, Gill, Balwinder, Huda, Nazihah, Navivala, Aamir, Pinto, Daniel, Bevilacqua, Micheli, Fung, Elaine, Hernandez, Geraldine, Mann, Puneet, Saini, Jaskiran, Rabasa-Lhoret, Remi, Bovan, Danijela, Devaux, Marie, Barnini, Cecilia, Leoncini, Giovanna, Manco, Luca, Nobili, Giulia, Piemontese, Matteo, Aucella, Filippo, Grifa, Rachele, Totaro, Francesco, La Manna, Gaetano, Capelli, Irene, Cianciolo, Giuseppe, Lerario, Sarah, Zappulo, Fulvia, Rosati, Alberto, Fani, Filippo, Spatoliatore, Giuseppe, Gesualdo, Loreto, Pesce, Francesco, Russo, Maria, Zippo, Maria, Cafiero, Cesira, Motta, Daria, Bianco, Simona, Bilucaglia, Donatella, Messa, Piergiorgio, Pavone, Laura, Tripodi, Federica, Vettoretti, Simone, Fioretto, Paola, Carraro, Gianni, Farnia, Filippo, Postal, Anna, D'Amelio, Alessandro, Cardone, Antonio, Piccinni, Giovanni, Aloisi, Annalisa, Scolari, Francesco, Alberici, Federico, Guerini, Alice, Saccà, Chiara, Salviani, Chiara, Zani, Roberta, DE NICOLA, Luca, Garofalo, Carlo, Elena Liberti, Maria, Minutolo, Roberto, Pennino, Luigi, Polese, Lucio, Mené, Paolo, Barberi, Simona, Falcone, Clorinda, Russo, Francesco, Caroppo, Maurizio, Santorelli, Gennaro, Rivera, Rodolfo, Santoro, Domenico, Giuffrida, Alfio, Zirino, Fortunata, Calvi, Cristina, Estienne, Luca, Gambaro, Giovanni, Gangemi, Concetta, Ortalda, Vittorio, Pessolano, Giuseppina, Grandaliano, Giuseppe, Baccaro, Rocco, Ferraro, Pietro, Mangiacapra, Roberto, Melandri, Marco, Foligno, Nadia, Quartagno, Rita, Vezzoli, Giuseppe, Brioni, Elena, and Group, EMPA-KIDNEY Collaborative

Subjects
chronic renal disease, empagliflozin, empa-kidney, General Medicine
Abstract

Background The effects of empagliflozin in patients with chronic kidney disease who are at risk for disease progression are not well understood. The EMPA-KIDNEY trial was designed to assess the effects of treatment with empagliflozin in a broad range of such patients. Methods We enrolled patients with chronic kidney disease who had an estimated glomerular filtration rate (eGFR) of at least 20 but less than 45 ml per minute per 1.73 m2 of body-surface area, or who had an eGFR of at least 45 but less than 90 ml per minute per 1.73 m2 with a urinary albumin-to-creatinine ratio (with albumin measured in milligrams and creatinine measured in grams) of at least 200. Patients were randomly assigned to receive empagliflozin (10 mg once daily) or matching placebo. The primary outcome was a composite of progression of kidney disease (defined as end-stage kidney disease, a sustained decrease in eGFR to Results A total of 6609 patients underwent randomization. During a median of 2.0 years of follow-up, progression of kidney disease or death from cardiovascular causes occurred in 432 of 3304 patients (13.1%) in the empagliflozin group and in 558 of 3305 patients (16.9%) in the placebo group (hazard ratio, 0.72; 95% confidence interval [CI], 0.64 to 0.82; PConclusions Among a wide range of patients with chronic kidney disease who were at risk for disease progression, empagliflozin therapy led to a lower risk of progression of kidney disease or death from cardiovascular causes than placebo. (Funded by Boehringer Ingelheim and others; EMPA-KIDNEY ClinicalTrials.gov number, NCT03594110. opens in new tab; EudraCT number, 2017-002971-24. opens in new tab.)

Published
2023

19. Computational Study of the Allosteric Effects of p5 on CDK5-p25 Hyperactivity as Alternative Inhibitory Mechanisms in Neurodegeneration

Author

Tejaswi Tammareddy, Walid Keyrouz, Ram D. Sriram, Harish C. Pant, Antonio Cardone, and Jeffery B. Klauda

Subjects
Alzheimer Disease, Blood-Brain Barrier, Materials Chemistry, Humans, Cyclin-Dependent Kinase 5, tau Proteins, Physical and Theoretical Chemistry, Phosphorylation, Peptides, Surfaces, Coatings and Films
Abstract

The cyclin-dependent kinase (CDK5) forms a stable complex with its activator p25, leading to the hyperphosphorylation of tau proteins and to the formation of plaques and tangles that are considered to be one of the typical causes of Alzheimer's disease (AD). Hence, the pathological CDK5-p25 complex is a promising therapeutic target for AD. Small peptides, obtained from the truncation of CDK5 physiological activator p35, have shown promise in inhibiting the pathological complex effectively while also crossing the blood-brain barrier. One such small 24-residue peptide, p5, has shown selective inhibition toward the pathological complex in vivo. Our previous research focused on the characterization of a computationally predicted CDK5-p5 binding mode and of its pharmacophore, which was consistent with competitive inhibition. In continuation of our previous work, herein, we investigate four additional binding modes to explore other possible mechanisms of interaction between CDK5 and p5. The quantitative description of the pharmacophore is consistent with both competitive and allosteric p5-induced inhibition mechanisms of CDK5-p25 pathology. The gained insights can direct further in vivo/in vitro tests and help design small peptides, linear or cyclic, or peptidomimetic compounds as adjuvants of orthosteric inhibitors or as part of a cocktail of drugs with enhanced effectiveness and lower side effects.

Published
2022

22. Rapid, quantitative therapeutic screening for Alzheimer's enzymes enabled by optimal signal transduction with transistors

Author

Curt A. Richter, Arvind Balijepalli, Son T. Le, Antonio Cardone, Michelle A. Morris, Nicholas B. Guros, Harish C. Pant, Brent A. Sperling, and Jeffery B. Klauda

Subjects
Silicon, Materials science, Transistors, Electronic, High-throughput screening, FOS: Physical sciences, Applied Physics (physics.app-ph), 02 engineering and technology, Quantitative Biology - Quantitative Methods, Biochemistry, Article, Analytical Chemistry, law.invention, 03 medical and health sciences, Alzheimer Disease, law, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), Electrochemistry, Humans, Environmental Chemistry, Quantitative Methods (q-bio.QM), Spectroscopy, 030304 developmental biology, 0303 health sciences, Condensed Matter - Mesoscale and Nanoscale Physics, business.industry, Bandwidth (signal processing), Transistor, Cyclin-Dependent Kinase 5, Electrochemical Techniques, Physics - Applied Physics, Hydrogen-Ion Concentration, 021001 nanoscience & nanotechnology, Neuroprotective Agents, FOS: Biological sciences, Ph sensing, Optoelectronics, Peptides, 0210 nano-technology, business
Abstract

We show that commercially sourced n-channel silicon field-effect transistors (nFETs) operating above their threshold voltage with closed loop feedback to maintain a constant channel current allow a pH readout resolution of (7.2±0.3)×10(−3) at a bandwidth of 10 Hz, or ≈3-fold better than the open loop operation commonly employed by integrated ion-sensitive field-effect transistors (ISFETs). We leveraged the improved nFET performance to measure the change in solution pH arising from the activity of a pathological form of the kinase Cdk5, an enzyme implicated in Alzheimer’s disease, and showed quantitative agreement with previous measurements. The improved pH resolution was realized while the devices were operated in a remote sensing configuration with the pH sensing element off-chip and connected electrically to the FET gate terminal. We compared these results with those measured by using a custom-built dual-gate 2D field-effect transistor (dg2DFET) fabricated with 2D semi-conducting MoS(2) channels and a signal amplification of 8. Under identical solution conditions the nFET performance approached the dg2DFETs pH resolution of (3.9±0.7)×10(−3). Finally, using the nFETs, we demonstrated the effectiveness of a custom polypeptide, p5, as a therapeutic agent in restoring the function of Cdk5. We expect that the straight-forward modifications to commercially sourced nFETs demonstrated here will lower the barrier to widespread adoption of these remote-gate devices and enable sensitive bioanalytical measurements for high throughput screening in drug discovery and precision medicine applications.

Published
2020

26. Deep-Learning-Assisted Volume Visualization

Author

Kedar Narayan, Sriram Subramaniam, Somay Jain, Amitabh Varshney, Hsueh-Chien Cheng, Eric Krokos, and Antonio Cardone

Subjects
business.industry, Computer science, Deep learning, Feature extraction, Volume (computing), computer.software_genre, Computer Graphics and Computer-Aided Design, Article, Identification (information), Volume visualization, Signal Processing, Computer Vision and Pattern Recognition, Artificial intelligence, Data mining, business, computer, Software
Abstract

Designing volume visualizations showing various structures of interest is critical to the exploratory analysis of volumetric data. The last few years have witnessed dramatic advances in the use of convolutional neural networks for identification of objects in large image collections. Whereas such machine learning methods have shown superior performance in a number of applications, their direct use in volume visualization has not yet been explored. In this paper, we present a deep-learning-assisted volume visualization to depict complex structures, which are otherwise challenging for conventional approaches. A significant challenge in designing volume visualizations based on the high-dimensional deep features lies in efficiently handling the immense amount of information that deep-learning methods provide. In this paper, we present a new technique that uses spectral methods to facilitate user interactions with high-dimensional features. We also present a new deep-learning-assisted technique for hierarchically exploring a volumetric dataset. We have validated our approach on two electron microscopy volumes and one magnetic resonance imaging dataset.

Published
2019

27. A Bioinformatics 3D Cellular Morphotyping Strategy for Assessing Biomaterial Scaffold Niches

Author

Carl G. Simon, Subhadip Bodhak, Desu Chen, Stephen J. Florczyk, P. Scott Pine, Mylene Simon, Mary Brady, Antonio Cardone, Peter Bajcsy, Sumona Sarkar, Paula J. Baker, and Derek Juba

Subjects
0301 basic medicine, Scaffold, Stromal cell, Materials science, Mesenchymal stem cell, Biomedical Engineering, Biomaterial, 02 engineering and technology, 021001 nanoscience & nanotechnology, Bioinformatics, Biomaterial scaffold, Regenerative medicine, Biomaterials, 03 medical and health sciences, 030104 developmental biology, Tissue engineering, Self-healing hydrogels, 0210 nano-technology, Biomedical engineering
Abstract

Many biomaterial scaffolds have been advanced to provide synthetic cell niches for tissue engineering and drug screening applications; however, current methods for comparing scaffold niches focus on cell functional outcomes or attempt to normalize materials properties between different scaffold formats. We demonstrate a three-dimensional (3D) cellular morphotyping strategy for comparing biomaterial scaffold cell niches between different biomaterial scaffold formats. Primary human bone marrow stromal cells (hBMSCs) were cultured on 8 different biomaterial scaffolds, including fibrous scaffolds, hydrogels, and porous sponges, in 10 treatment groups to compare a variety of biomaterial scaffolds and cell morphologies. A bioinformatics approach was used to determine the 3D cellular morphotype for each treatment group by using 82 shape metrics to analyze approximately 1000 cells. We found that hBMSCs cultured on planar substrates yielded planar cell morphotypes, while those cultured in 3D scaffolds had elongated or equiaxial cellular morphotypes with greater height. Multivariate analysis was effective at distinguishing mean shapes of cells in flat substrates from cells in scaffolds, as was the metric L

Published
2021

29. TP5, a Peptide Inhibitor of Aberrant and Hyperactive CDK5/p25: A Novel Therapeutic Approach against Glioblastoma

Author

Qi Song, Harish C. Pant, Zhengping Zhuang, Emeline Tabouret, Jinkyu Jung, Antonio Cardone, Jing Cui, Mark R. Gilbert, Herui Wang, Deric M. Park, Romain Appay, Niranjana D. Amin, Institut de neurophysiopathologie (INP), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Laboratoire d'Anatomie Pathologique-Neuropathologique [AP-HM Hôpital La Timone], Hôpital de la Timone [CHU - APHM] (TIMONE), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), National Institute of Neurological Disorders and Stroke [Bethesda] (NINDS), University of Maryland Institute for Advanced Computer Studies, University of Maryland [College Park], University of Maryland System-University of Maryland System, and University of Chicago

Subjects
0301 basic medicine, Cancer Research, DNA damage, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, medicine.medical_treatment, [SDV]Life Sciences [q-bio], CDK5, [SDV.CAN]Life Sciences [q-bio]/Cancer, chemotherapy, lcsh:RC254-282, Article, 03 medical and health sciences, 0302 clinical medicine, In vivo, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], medicine, Viability assay, radiotherapy, Chemotherapy, Temozolomide, Kinase, Chemistry, glioblastoma, Cell cycle, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, targeted therapy, 3. Good health, 030104 developmental biology, Oncology, nervous system, Apoptosis, 030220 oncology & carcinogenesis, ATM, [SDV.SP.PHARMA]Life Sciences [q-bio]/Pharmaceutical sciences/Pharmacology, Cancer research, medicine.drug
Abstract

We examined the efficacy of selective inhibition of cyclin-dependent kinase 5 (CDK5) in glioblastoma by TP5. We analyzed its impact in vitro on CDK5 expression and activity, cell survival, apoptosis and cell cycle. DNA damage was analyzed using the expression of &gamma, H2A.X and phosphorylated ATM. Its tolerance and efficacy were assessed on in vivo xenograft mouse models. We showed that TP5 decreased the activity but not the expression of CDK5 and p35. TP5 alone impaired cell viability and colony formation of glioblastoma cell lines and induced apoptosis. TP5 increased DNA damage by inhibiting the phosphorylation of ATM, leading to G1 arrest. Whereas CDK5 activity is increased by DNA-damaging agents such as temozolomide and irradiation, TP5 was synergistic with either temozolomide or irradiation due to an accumulation of DNA damage. Concomitant use of TP5 and either temozolomide or irradiation reduced the phosphorylation of ATM, increased DNA damage, and inhibited the G2/M arrest induced by temozolomide or irradiation. TP5 alone suppressed the tumor growth of orthotopic glioblastoma mouse model. The treatment was well tolerated. Finally, alone or in association with irradiation or temozolomide, TP5 prolonged mouse survival. TP5 alone or in association with temozolomide and radiotherapy is a promising therapeutic option for glioblastoma.

Published
2020
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30. Arylamino-fluorene derivatives: Optically induced electron transfer investigation, redox-controlled modulation of absorption and fluorescence

Author

Amerigo Beneduci, Giuseppe Gigli, Antonio Cardone, Eduardo Fabiano, Gianluca Accorsi, Roberto Giannuzzi, Agostina Lina Capodilupo, Giuseppina Anna Corrente, Francesca Manni, Capodilupo, A. -L., Manni, F., Corrente, G. A., Accorsi, G., Fabiano, E., Cardone, A., Giannuzzi, R., Beneduci, A., and Gigli, G.

Subjects
Materials science, General Chemical Engineering, 02 engineering and technology, Fluorene, 010402 general chemistry, Photochemistry, 01 natural sciences, Redox, Fluorescence spectroscopy, chemistry.chemical_compound, Electron transfer, Electrofluorochromism, Mixed-valence, Triarylamines, Valence (chemistry), Process Chemistry and Technology, 021001 nanoscience & nanotechnology, Optically induced electron transfer, 0104 chemical sciences, Dication, chemistry, Electrochromism, NIR-Electrochromism, Cyclic voltammetry, 0210 nano-technology
Abstract

A series of biarylaminofluorene-based systems with donor-π-donor (D-π-D) structure have been designed and synthesized in order to study the dependence on the π-conjugated bridge length of the intervalence charge-transfer transitions (IV-CT) and of the electronic coupling between the redox centers. To this purpose cyclic voltammetry, UV/Vis-NIR, fluorescence spectroscopy and computational investigations have been carried out to characterize the electronic structure of the compounds in the neutral as well as in the mono- and dication states. Additionally, a study of related D-π compounds has been performed to elucidate the effect of the interaction between two redox centers. Interestingly it was observed that the mono- and dication species exhibit intense transition bands in the NIR region, in the 10000-15000 cm−1 range, whose intensity depends on the oxidation state and thus it can be reversibly tuned by an applied potential. In a similar way, all compounds show an oxidation state dependent fluorescence which leads to electrofluorochromism. Particularly significant is the mixed valence behavior that provides these systems singular optoelectronic properties, making them excellent active components for electrochromic and electrofluorochromic applications.

Published
2020

31. Effects of donor position on dibenzofulvene-based organic dyes for photovoltaics

Author

Luisa De Marco, Giuseppina Anna Corrente, Giuseppe Ciccarella, Gianluca Accorsi, Giuseppe Gigli, Antonio Cardone, Agostina Lina Capodilupo, Eduardo Fabiano, and Roberto Giannuzzi

Subjects
tuning of photophysical properties, Materials science, business.industry, Dibenzofulvenes, Organic dyes, 02 engineering and technology, Electronic structure, 010402 general chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Electrochemistry, Photochemistry, 01 natural sciences, Acceptor, Atomic and Molecular Physics, and Optics, 0104 chemical sciences, Electronic, Optical and Magnetic Materials, Photovoltaics, Molecule, cell efficiency, Electrical and Electronic Engineering, 0210 nano-technology, business
Abstract

A series of push-pull organic dyes based on the cyanoacrylic acid as the acceptor/anchoring group, a dibenzofulvene (DBF) connected with thienyl rings as the ?-bridge, and donor units linked to different positions of the DBF molecule were synthetized and studied. The effects of the donor position on optical and photovoltaic properties were investigated through photophysics, electrochemical and photovoltaic measurements. The results uphold photovoltaic performances largely depend on the electronic structure of the dyes with a synergistic interaction between donor and acceptor groups. In detail, a fine tuning of the photophysical properties can be reached simply selecting the position of the donor unit on the DBF molecule. In particular, the dyes bearing the donor unit on the 3,6-positions of the DBF show better performances in term of light absorption and cell efficiency with respect to the dyes with the donor unit on the 2,7-positions.

Published
2017

32. Quantum Capacitance-Limited MoS(2) Biosensors Enable Remote Label-Free Enzyme Measurements

Author

Siyuan Zhang, Curt A. Richter, Robert C. Bruce, Harish C. Pant, Son T. Le, Arvind Balijepalli, Nicholas B. Guros, Antonio Cardone, Jeffery B. Klauda, and Niranjana D. Amin

Subjects
Materials science, Transistors, Electronic, Gate dielectric, FOS: Physical sciences, Ionic Liquids, 02 engineering and technology, Applied Physics (physics.app-ph), Biosensing Techniques, Signal-To-Noise Ratio, 010402 general chemistry, Electric Capacitance, 01 natural sciences, Noise (electronics), Quantitative Biology - Quantitative Methods, Article, law.invention, Quantum capacitance, symbols.namesake, law, Alzheimer Disease, Limit of Detection, Humans, General Materials Science, Nernst equation, Disulfides, Quantitative Methods (q-bio.QM), Detection limit, Molybdenum, business.industry, Transistor, Temperature, Cyclin-Dependent Kinase 5, Physics - Applied Physics, Hydrogen-Ion Concentration, 021001 nanoscience & nanotechnology, 0104 chemical sciences, Kinetics, FOS: Biological sciences, symbols, Optoelectronics, 0210 nano-technology, business, Sensitivity (electronics), Biosensor
Abstract

We have demonstrated atomically thin, quantum capacitance-limited, field-effect transistors (FETs) that enable the detection of pH changes with 75-fold higher sensitivity (≈4.4 V/pH) over the Nernst value of 59 mV/pH at room temperature when used as a biosensor. The transistors, which are fabricated from monolayer films of MoS(2), use a room temperature ionic liquid (RTIL) in place of a conventional oxide gate dielectric and exhibit very low intrinsic noise resulting in a pH resolution of 92×10(−6) at 10 Hz. This high device performance, which is a function of the structure of our device, is achieved by remotely connecting the gate to a pH sensing element allowing the FETs to be reused. Because pH measurements are fundamentally important in biotechnology, the increased resolution demonstrated here will benefit numerous applications ranging from pharmaceutical manufacturing to clinical diagnostics. As an example, we experimentally quantified the function of the kinase Cdk5, an enzyme implicated in Alzheimer’s disease, at concentrations that are 5-fold lower than physiological values, and with sufficient time-resolution to allow the estimation of both steady-state and kinetic parameters in a single experiment. The high sensitivity, increased resolution, and fast turnaround time of the measurements will allow the development of early diagnostic tools and novel therapeutics to detect and treat neurological conditions years before currently possible.

Published
2019

33. Synthesis and photovoltaic performance of dibenzofulvene-based organic sensitizers for DSSC

Author

Antonio Cardone, Giuseppe Ciccarella, L. De Marco, Agostina Lina Capodilupo, Roberto Giannuzzi, Giuseppina Anna Corrente, Eduardo Fabiano, Giuseppe Gigli, Capodilupo, A. L., Giannuzzi, Riccardo, Corrente, GIUSEPPINA ANNA, DE MARCO, Luisa, Fabiano, Eduardo, Cardone, A., Gigli, Giuseppe, and Ciccarella, Giuseppe

Subjects
Dye-sensitized solar cells Organic dyes Dibenzofulvene Donoreacceptor system Solar energy, Organic dyes, 02 engineering and technology, Dye-sensitized solar cells, 010402 general chemistry, Electrochemistry, Photochemistry, 01 natural sciences, Biochemistry, chemistry.chemical_compound, Solar energy, Drug Discovery, Thiophene, Moiety, Donor-acceptor system, Dibenzofulvene, Organic Chemistry, Diphenylamine, 021001 nanoscience & nanotechnology, Acceptor, 0104 chemical sciences, Dye-sensitized solar cell, chemistry, Alkoxy group, Density functional theory, 0210 nano-technology
Abstract

Three novel 2D-π-A metal-free organic dyes TK 7 – 9 containing a dibenzofulvene ( DBF ) linked to two thiophene units as the π-bridge, diarylamines with and without alkoxy chains as donor groups and the cyanoacrylic acid moiety as the acceptor and anchoring group were synthesized. The new dyes TK were characterized by optical and electrochemical measurements and density functional theory calculations and were used as sensitizers in liquid dye-sensitized solar cells. The effects of alkoxy-functionalization of donor moiety and of hexyl chain insertion onto one thienyl ring of π-linker on dye properties and performances were investigated. The results discover the dye TK7 , bearing two simple diphenylamine groups without alkoxy chains, exhibits the best behavior in terms of light absorption and cell performance (PCE of 7.9% and photovoltaic parameters of J sc of 17.82 mA cm −2 , V oc of 670 mV and FF of 0.66). Lower power conversion efficiencies of 6.3% and 6.1% were found for TK8 and TK9 , respectively, as a consequence of the presence of the alkoxy chains.

Published
2016

35. Interpolation-Based Gray-Level Co-Occurrence Matrix Computation for Texture Directionality Estimation

Author

Mary Brady, Antonio Cardone, Peter Bajcsy, and Marcin Kociolek

Subjects
0301 basic medicine, Source code, Mean squared error, Computer science, media_common.quotation_subject, Computation, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, 02 engineering and technology, 03 medical and health sciences, Co-occurrence matrix, symbols.namesake, 030104 developmental biology, Robustness (computer science), Gaussian noise, Computer Science::Computer Vision and Pattern Recognition, Bounded function, 0202 electrical engineering, electronic engineering, information engineering, symbols, Directionality, Algorithm, media_common
Abstract

A novel interpolation-based model for the computation of the Gray Level Co-occurrence Matrix (GLCM) is presented. The model enables GLCM computation for any real-valued angles and offsets, as opposed to the traditional, lattice-based model. A texture directionality estimation algorithm is defined using the GLCM-derived correlation feature. The robustness of the algorithm with respect to image blur and additive Gaussian noise is evaluated. It is concluded that directionality estimation is robust to image blur and low noise levels. For high noise levels, the mean error increases but remains bounded. The performance of the directionality estimation algorithm is illustrated on fluorescence microscopy images of fibroblast cells. The algorithm was implemented in C++ and the source code is available in an openly accessible repository.

Published
2018

36. Design and synthesis of fluorenone-based dyes: two-photon excited fluorescent probes for imaging of lysosomes and mitochondria in living cells

Author

Milena De Giorgi, Vincenzo Maiorano, Eduardo Fabiano, Antonio Maggiore, Francesca Baldassarre, Agostina Lina Capodilupo, Daniele Sanvitto, Giuseppe Gigli, Viviana Vergaro, Giuseppe Ciccarella, Antonio Cardone, Vergaro, Viviana, Baldassarre, Francesca, Maggiore, Antonio, Gigli, Giuseppe, and Ciccarella, Giuseppe

Subjects
SOLAR-CELLS, Biocompatibility, DERIVATIVES, Chemistry, Biomedical Engineering, Diphenylamine, TARGETING MITOCHONDRIA, Quantum yield, MICROSCOPY, General Chemistry, General Medicine, Photochemistry, Fluorescence, CROSS-SECTIONS, EXCITATION, ACID, symbols.namesake, chemistry.chemical_compound, Two-photon excitation microscopy, Fluorenone, Stokes shift, symbols, General Materials Science, Cytotoxicity
Abstract

Three fluorenone-derived two-photon fluorescent probes (TK) targeting the lysosomes (TK-Lyso) and mitochondria (TK-Mito1 and TK-Mito2) were synthesized by introducing different diphenylamine moieties into the fluorenone core. The TK dyes showed high biocompatibility and long-term retention, low cytotoxicity, large Stokes shift and good fluorescence quantum yield. The results of the present work disclose a class of organic dyes with potential wide applications as specific and efficient probes for lysosomes and mitochondria in the study of various biological processes.

Published
2015

37. A water-soluble eumelanin polymer with typical polyelectrolyte behaviour by triethyleneglycol N-functionalization

Author

Valeria Criscuolo, Teresa Sibillano, Maurizio Mastropasqua Talamo, Alessandra Napolitano, Rosa Di Mundo, Marco d'Ischia, Marianna Ambrico, Antonio Cardone, Paola Manini, Paolo F. Ambrico, Stefania R. Cicco, Cinzia Giannini, Teresa Ligonzo, Gianluca M. Farinola, Cicco, Stefania R., Ambrico, Marianna, Ambrico, Paolo F., Talamo, Maurizio Mastropasqua, Cardone, Antonio, Ligonzo, Teresa, Di Mundo, Rosa, Giannini, Cinzia, Sibillano, Teresa, Farinola, Gianluca M., Manini, Paola, Napolitano, Alessandra, Criscuolo, Valeria, and D'Ischia, Marco

Subjects
chemistry.chemical_classification, impedance spectroscopy, melanins, organic electronics, soft material, Materials science, polymer, General Chemistry, Polymer, Polyelectrolyte, melanin, Water soluble, chemistry, organic electronic, Polymer chemistry, Materials Chemistry, Surface modification, soft material, High-κ dielectric
Abstract

N-functionalization of 5,6-dihydroxyindole with a hydrophilic triethyleneglycol (TEG) chain provides access to a new class of water-soluble eumelanin-like materials with relatively high dielectric constant and polyelectrolyte behaviour, reflecting enhanced charge transport by in-depth incorporation of hydration networks.

Published
2015

38. Hydration-controlled anisotropic and giant permittivity in TEG-functionalized eumelanin

Author

G. Casamassima, Teresa Ligonzo, Marco d'Ischia, Paolo F. Ambrico, Antonio Cardone, Paola Manini, Maria Grazia Bridelli, Marianna Ambrico, Ambrico, M., Ambrico P., F., Ligonzo, T., Cardone, A., Bridelli M., G., Casamassima, G., Manini, Paola, and D'Ischia, Marco

Subjects
Permittivity, General Physics and Astronomy, 02 engineering and technology, Conductivity, 010402 general chemistry, 01 natural sciences, Biomaterials, Adsorption, CONSTANT, Organic chemistry, Molecule, WATER, Physical and Theoretical Chemistry, Polarization (electrochemistry), Giant permittivity, chemistry.chemical_classification, Eumelanin, DIELECTRIC-RELAXATION, POLYMER, Microporous material, Comproportionation, Polymer, 021001 nanoscience & nanotechnology, 0104 chemical sciences, Anysotropic permittivity, chemistry, Chemical engineering, TEG-Functionalized, MELANINS, 0210 nano-technology
Abstract

Although it has long been known that the peculiar electronic-ionic conductor behavior of eumelanin is critically dependent on hydration, the detailed mechanisms by which water-polymer interactions control and affect the conduction properties have remained largely obscure. In this paper, we report a remarkable anisotropy and giant polarization effect in a synthetic eumelanin (TEGMe) chemically functionalized with hydrophilic TEG residues. FT-IR analyses of water sorption isotherms and AC measurements were consistent with a microporous structure binding or hosting mainly isolated water molecules. In contrast, similar experiments on a commercial synthetic eumelanin (AMe) used as a reference were suggestive of a bulk macroporous scaffold binding or hosting liquid water. These data disclosed for the first time the differential impact on eumelanin conductivity of vapor, liquid and ice-like forms of water adsorbed onto or embedded into the polymer layer. It is thus demonstrated, for the first time, that hydration controls the conduction properties of eumelanin in a more complex manner than is commonly believed, involving, besides the reported semiquinone comproportionation equilibria, the mode of interaction of water molecules as governed by both the chemical and morphological features of the polymer.

Published
2017

39. Photo-induced absorption spectra of a poly(p-phenylenevinylene) polymer with fluorinated double bonds

Author

Davide Comoretto, Antonio Cardone, Gianluca M. Farinola, Francesco Floris, Franco Marabelli, Valentina Morandi, and Martin Burger

Subjects
Materials Chemistry2506 Metals and Alloys, Double bond, Absorption spectroscopy, Exciton, Photo-induced absorption, 02 engineering and technology, Conjugated polymers, 010402 general chemistry, 01 natural sciences, Biomaterials, Fluorinated double bonds, Polarons, Electronic, Optical and Magnetic Materials, Chemistry (all), Condensed Matter Physics, Electrical and Electronic Engineering, Materials Chemistry, Electronic, Molecule, Organic chemistry, Emission spectrum, Optical and Magnetic Materials, chemistry.chemical_classification, General Chemistry, 021001 nanoscience & nanotechnology, 0104 chemical sciences, Microsecond, chemistry, Excited state, Physical chemistry, Absorption (chemistry), 0210 nano-technology
Abstract

We report on the optical and photo-physical properties of a fluorinated poly(p-phenylenevinylene) derivative, namely poly(2-methoxy-5-[(2-ethylhexyl)oxy]-1,4-phenylenedifluorovinylene) (MEH-PPDFV) and we compare them with those of the well-known non fluorinated reference system, poly(2-methoxy-5-[(2-ethylhexyl)oxy]-1,4-phenylenevinylene) (MEH-PPV) synthesized with the same procedure. Remarkable blue-shifts of absorption and emission spectra of MEH-PPDFV with respect to MEH-PPV are observed, due to the larger distortion from planarity of the fluorinated species. In addition, the blue-shift for optical transitions in absorption spectra is more pronounced than in emission ones, since the molecule conformation in the excited states is more planar than in the ground one. Microsecond photo-induced absorption spectra of MEH-PPDFV reveal three bands possessing spectral properties and/or kinetics different from those observed for MEH-PPV. The assignment of these transitions is provided in terms of free and trapped polarons as well of triplet excitons. Free-polarons have an intrinsic decay constant of 3 μs, while the trapping dynamics has a longer kinetics of 40 μs. The triplet exciton, instead, shows a monoexponetial decay behavior of constant about 10 μs.

Published
2017
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40. Synthesis and Structure of Conjugated Molecules with the Benzofulvene Core

Author

Francesco Naso, Antonio Cardone, Maria Luisa D'arienzo, Roberta Musio, Emanuela Schingaro, Vita Pinto, Fernando Scordari, Gianluca M. Farinola, Ernesto Mesto, Maurizio Mastropasqua Talamo, and Carmela Martinelli

Subjects
General method, Molecular Structure, Chemistry, Stereochemistry, Organic Chemistry, Molecular Conformation, Stereoisomerism, Sequence (biology), Conjugated system, Crystallography, X-Ray, Biochemistry, Combinatorial chemistry, Catalysis, Molecular conformation, Indenes, Cyclization, Alkynes, Electrophile, Benzene Derivatives, Molecule, Physical and Theoretical Chemistry, Iodine
Abstract

A general method to synthesize conjugated molecules with a benzofulvene core is reported. Up to four conjugated substituents have been introduced via a three-step sequence including (1) synthesis of 1,2-bis(arylethynyl)benzenes; (2) exo-dig electrophilic cyclization promoted by iodine; and (3) cross-coupling reaction of the resulting bis-iodobenzofulvenes with organoboron, organotin, or ethynyl derivatives under Pd catalysis. Structural aspects of the new compounds are discussed.

Published
2014

41. Label-Free Enzyme Activity Measurements with Quantum-Limited Biosensors

Author

Antonio Cardone, Son T. Le, Jeffery B. Klauda, Niranjana D. Amin, Harish C. Pant, Curt A. Richter, Nicholas B. Guros, and Arvind Balijepalli

Subjects
biology, Chemistry, Biophysics, biology.protein, Biosensor, Quantum, Combinatorial chemistry, Enzyme assay, Label free
Published
2019

42. Specific and Non-Specific Protein Association in Solution: Computation of Solvent Effects and Prediction of First-Encounter Modes for Efficient Configurational Bias Monte Carlo Simulations

Author

Antonio Cardone, Harish C. Pant, and Sergio A. Hassan

Subjects
Models, Molecular, Quantitative Biology::Biomolecules, Aqueous solution, Chemistry, Computation, Monte Carlo method, Proteins, Article, Force field (chemistry), Surfaces, Coatings and Films, Solutions, Quantitative Biology::Subcellular Processes, Molecular recognition, Solvents, Materials Chemistry, Dynamic Monte Carlo method, Thermodynamics, Statistical physics, Physical and Theoretical Chemistry, Solvent effects, Monte Carlo Method, Algorithms, Protein Binding, Monte Carlo molecular modeling
Abstract

Weak and ultraweak protein-protein association play a role in molecular recognition and can drive spontaneous self-assembly and aggregation. Such interactions are difficult to detect experimentally, and are a challenge to the force field and sampling technique. A method is proposed to identify low-population protein-protein binding modes in aqueous solution. The method is designed to identify preferential first-encounter complexes from which the final complex(es) at equilibrium evolve. A continuum model is used to represent the effects of the solvent, which accounts for short- and long-range effects of water exclusion and for liquid-structure forces at protein/liquid interfaces. These effects control the behavior of proteins in close proximity and are optimized on the basis of binding enthalpy data and simulations. An algorithm is described to construct a biasing function for self-adaptive configurational-bias Monte Carlo of a set of interacting proteins. The function allows mixing large and local changes in the spatial distribution of proteins, thereby enhancing sampling of relevant microstates. The method is applied to three binary systems. Generalization to multiprotein complexes is discussed.

Published
2013

43. Synthetic Aspects and Electro-Optical Properties of Fluorinated Arylenevinylenes for Luminescence and Photovoltaics

Author

Gianluca M. Farinola, Carmela Martinelli, Vita Pinto, and Antonio Cardone

Subjects
Materials science, conjugated materials, arylenevinylenes, chemistry.chemical_element, Review, lcsh:Technology, chemistry.chemical_compound, Stille cross-coupling, Photovoltaics, Organic chemistry, General Materials Science, organic semiconductors, lcsh:Microscopy, lcsh:QC120-168.85, chemistry.chemical_classification, lcsh:QH201-278.5, business.industry, lcsh:T, Aryl, Intermolecular force, Polymer, Stille reaction, Organic semiconductor, chemistry, lcsh:TA1-2040, fluorinated materials, Fluorine, lcsh:Descriptive and experimental mechanics, lcsh:Electrical engineering. Electronics. Nuclear engineering, Luminescence, business, lcsh:Engineering (General). Civil engineering (General), lcsh:TK1-9971
Abstract

In this review, the main synthetic aspects and properties of fluorinated arylenevinylene compounds, both oligomers and polymers, are summarized and analyzed. Starting from vinyl organotin derivatives and aryl halides, the Stille cross-coupling reaction has been successfully applied as a versatile synthetic protocol to prepare a wide series of π-conjugated compounds, selectively fluorinated on the aromatic and/or vinylene units. The impact of fluoro-functionalization on properties, the solid state organization and intermolecular interactions of the synthesized compounds are discussed, also in comparison with the non-fluorinated counterparts. Luminescent and photovoltaic applications are also discussed, highlighting the role of fluorine on the performance of devices.

Published
2013

44. Engineering polydopamine films with tailored behaviour for next-generation eumelanin-related hybrid devices

Author

Marco d'Ischia, Paolo F. Ambrico, Stefania R. Cicco, Marianna Ambrico, Antonio Cardone, Maurizio Mastropasqua Talamo, Vincenzo Augelli, Gianluca M. Farinola, Nicola Fyodor Della Vecchia, Alessandra Napolitano, Teresa Ligonzo, Ambrico, M., Ambrico, P. F., Cardone, A., Della Vecchia, Nicola Fyodor, Ligonzo, T., Cicco, S. R., Mastropasqua Talamo, M., Napolitano, Alessandra, Augelli, V., Farinola, G. M., and D'Ischia, Marco

Subjects
BUILDUP, Spin coating, POLYMER, INTERFACES, OXIDATION, BUILDUP, SYSTEM, Materials science, Silicon, Intrinsic semiconductor, business.industry, Eumelanin-type biopolymers, chemistry.chemical_element, POLYMER, Nanotechnology, General Chemistry, Semiconductor device, engineering.material, OXIDATION, Semiconductor, chemistry, Materials Chemistry, engineering, Flat band, Biopolymer, business, INTERFACES, SYSTEM, Diode
Abstract

Eumelanin-type biopolymers have attracted growing interest in the quest for soft bioinspired functional materials for application in organoelectronics. Recently, a metal-insulator-semiconductor device with a good quality interface was produced by spin coating of a commercial synthetic eumelanin-like material on a dry plasma-modified silicon surface. As a proof-of-concept step toward the design and implementation of next-generation eumelanin-inspired devices, we report herein an expedient chemical strategy to bestow n-type performance to polydopamine, a highly popular eumelanin-related biopolymer with intrinsic semiconductor behaviour, and to tune its electrical properties. The strategy relies on aerial co-oxidation of dopamine with suitable aromatic amines, e.g. 3-aminotyrosine or p- phenylenediamine, leading to good quality black polymeric films. Capacitance-voltage experiments on poly(dopamine/3-aminotyrosine) and poly(dopamine/p-phenylenediamine)-based metal insulator semiconductor devices on p-Si indicated a significant increase in flat band voltage with respect to polydopamine and previous synthetic eumelanin-based diodes. Variations of the flat band voltage under vacuum were observed for each device. These results point to polydopamine as a versatile eumelanin-type water-dependent semiconductor platform amenable to fine tuning of its electronic properties through incorporation of p-conjugating aromatic amines to tailor functionality.

Published
2013

45. Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells

Author

Marcin Kociolek, Joe Chalfoun, Mary Brady, Alden A. Dima, Peter Bajcsy, Antonio Cardone, Michael Halter, and Adele P. Peskin

Subjects
Histology, Pixel, business.industry, Rand index, Scale-space segmentation, Image segmentation, Standard deviation, Pathology and Forensic Medicine, Minimum spanning tree-based segmentation, Computer vision, Segmentation, Artificial intelligence, Range segmentation, business
Abstract

Summary We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are physically in contact with each other. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell counting, tracking and lineage modelling in cell biology. The segmentation method presented in this paper consists of (1) background reconstruction to obtain noise-free foreground pixels and (2) incorporation of biological insight about dividing and nondividing cells into the segmentation process to achieve reliable separation of foreground pixels defined as pixels associated with individual cells. The segmentation results for a time-lapse image stack were compared against 238 manually segmented images (8219 cells) provided by experts, which we consider as reference data. We chose two metrics to measure the accuracy of segmentation: the ‘Adjusted Rand Index’ which compares similarities at a pixel level between masks resulting from manual and automated segmentation, and the ‘Number of Cells per Field’ (NCF) which compares the number of cells identified in the field by manual versus automated analysis. Our results show that the automated segmentation compared to manual segmentation has an average adjusted rand index of 0.96 (1 being a perfect match), with a standard deviation of 0.03, and an average difference of the two numbers of cells per field equal to 5.39% with a standard deviation of 4.6%.

Published
2012

46. Synthesis of Functionalized Aryleneethynylene Oligomers and Polymers for Organic Electronics by Pd-Catalyzed Coupling Reactions

Author

Gianluca M. Farinola, Roberta Ragni, Francesco Babudri, Giuliano Iacobellis, Alessandra Operamolla, Antonio Cardone, and Omar Hassan Omar

Subjects
genetic structures, Molecular electronics, Sonogashira coupling, Conjugated polymers, Conjugated system, Biochemistry, Coupling reaction, Triple C-C bonds, Molecular wire, Biopolymers, Photoisomerization, Polymer chemistry, Molecular wires, chemistry.chemical_classification, Organic electronics, Chiral polymers, Organic Chemistry, Self-assembly, Polymer, chemistry, Thiol, Cross-coupling, Anthraquinone, Norbornadiene, Sonogashira reaction, Aryleneethynylenes, Conjugated oligomers
Abstract

In this article we discuss synthetic routes to organic conjugated oligomers and polymers bearing triple C-C bonds that have been recently developed in our laboratories, based on Pd-catalyzed Csp-Csp 2 coupling reactions. Experimental protocols have been tuned to face synthetic challenges such as the presence in the main conjugated backbone of multifunctional substituents or uncommon conju- gated units. The relevance of the obtained products in terms of properties and applications is also shortly mentioned.

Published
2012

47. ELECTROPOLYMERIZATION OF NOVEL BENZOFULVENES FOR FLEXIBLE ELECTROCHROMIC DEVICES

Author

FIGA', Viviana, CHIAPPARA, Clara, PIGNATARO, Bruno Giuseppe, Valentino Oliverio, Maurizio Mastropasqua Talamo, Vita Pinto, Carmela Martinelli, Antonio Cardone, Gianluca M. Farinola, and o Viviana Figà, Valentino Oliverio, Clara Chiappara, Maurizio Mastropasqua Talamo, Vita Pinto, Carmela Martinelli, Antonio Cardone, Gianluca M. Farinola, Bruno Pignataro

Subjects
n.d
Published
2014

48. 3D Cellular Morphotyping of Scaffold Niches

Author

Mylene Simon, Peter Bajcsy, Antonio Cardone, Desu Chen, Mary Brady, Paula J. Baker, Carl G. Simon, Sumona Sarkar, Derek Juba, Subhadip Bodhak, P. Scott Pine, and Stephen J. Florczyk

Subjects
0301 basic medicine, Scaffold, Stromal cell, Materials science, Cell, Biomaterial, Cell morphology, law.invention, 03 medical and health sciences, 030104 developmental biology, medicine.anatomical_structure, Confocal microscopy, law, medicine, Stem cell, Actin, Biomedical engineering
Abstract

There is currently no method for assessing the nature of the cell niche provided by 3D biomaterial scaffolds. Analyzing human bone marrow stromal cell (hBMSC) 3D cell shape in response to different biomaterial scaffolds allowed the 3D cell niche promoted by biomaterial scaffolds to be evaluated. Primary hBMSCs (p5) were seeded (5,000 cells/cm2) in 10 different biomaterial scaffolds and cultured for 24 h. Samples were fixed and stained for actin and nucleus, imaged with confocal microscopy to obtain a 3D volume (z-stack), and 3D cell shape was analyzed with computational approaches. Over 100 cells were imaged per scaffold group (10 scaffold groups, ~1250 cells total), resulting in the largest known 3D stem cell dataset (~135,000 files, ~135 GB) and enabling a high degree of statistical rigor. The images were segmented using an automated algorithm and a final dataset of 969 well-segmented cells were analyzed with 79 shape metrics, which enabled 3D cellular morphotyping of scaffold niches. The variety of scaffolds studied promoted different cell morphologies during culture and there were significant differences in shape metrics, particularly for cell depth, surface area, and volume. This study demonstrated a quantitative approach to analyze 3D cell shape and morphotype and is the largest known study analyzing 3D cell shape in response to a variety of biomaterial scaffolds. The dataset is publically accessible with an online 3D viewer. These results could inform the selection of prospective scaffolds for applications based on 3D cell shape in the tissue of interest.

Published
2016

49. Synthesis and characterization of a new series of dibenzofulvene based organic dyes for DSSCs

Author

Antonio Cardone, Agostina L. Capodilupo, Eduardo Fabiano, Giuseppe Gigli, Roberto Giannuzzi, Luisa De Marco, Giuseppe Ciccarella, Giuseppina Anna Corrente, Capodilupo, Agostina L., DE MARCO, Luisa, Corrente, GIUSEPPINA ANNA, Giannuzzi, Roberto, Fabiano, Eduardo, Cardone, Antonio, Gigli, Giuseppe, and Ciccarella, Giuseppe

Subjects
Materials science, Process Chemistry and Technology, General Chemical Engineering, Photovoltaic system, 02 engineering and technology, Electrolyte, Dibenzofulvene Dyes Dye-sensitized solar cells Energy conversion Diarylamine, 010402 general chemistry, 021001 nanoscience & nanotechnology, Ring (chemistry), Photochemistry, 01 natural sciences, Acceptor, 0104 chemical sciences, Dye-sensitized solar cell, chemistry.chemical_compound, chemistry, Yield (chemistry), Thiophene, Irradiation, 0210 nano-technology
Abstract

Three new 2D-pi-A dyes (TK4, TK5 and TK6), composed of diarylamine donor groups, a dibenzofulvenethiophene core as the pi-bridge, and a cyanoacrylic acid anchoring group as the acceptor, have been successfully designed, synthesized, and characterized both experimentally and computationally. The performance in DSSC solar cells has been also studied. Octyloxy chains were introduced on the backbone of the dye, in order to increase donor capability, avoid aggregation side effects and increase physical insulation between electrolyte system and the TiO2 layer. The dye containing the octyloxy chains on the donor group and two thiophene ring as an extension of pi-bridge showed the best photovoltaic performance with a maximum of solar energy-to-electricity conversion yield of 7.8% under AM 1.5 irradiation (100 mW/cm(2)). (C) 2016 Elsevier Ltd. All rights reserved.

Published
2016

50. [1]Benzothieno[3,2-b]benzothiophene-Based Organic Dyes for Dye-Sensitized Solar Cells

Author

Carmela Martinelli, Giuseppe Ciccarella, Giuseppe Gigli, Antonio Cardone, Eduardo Fabiano, Luisa De Marco, Agostina L. Capodilupo, Capodilupo, Agostina L, Fabiano, Eduardo, DE MARCO, Luisa, Ciccarella, Giuseppe, Gigli, Giuseppe, Martinelli, Carmela, and Cardone, Antonio

Subjects
chemistry.chemical_classification, Chemistry, Organic Chemistry, Benzothiophene, 02 engineering and technology, Molar absorptivity, Chromophore, Electron acceptor, 010402 general chemistry, 021001 nanoscience & nanotechnology, Photochemistry, 01 natural sciences, FIELD-EFFECT TRANSISTORS, HIGH-PERFORMANCE, PHOTOVOLTAIC PROPERTIES, CONVERSION-EFFICIENCY, DONOR, BENZOTHIADIAZOLE, DITHIENOSILOLE, LINKERS, CORE, UNIT, 0104 chemical sciences, chemistry.chemical_compound, Wavelength, Dye-sensitized solar cell, Extinction (optical mineralogy), Absorption (chemistry), 0210 nano-technology
Abstract

Three new metal-free organic dyes with the [1]benzothieno[3,2-b]benzothiophene (BTBT) π-bridge, having the structure donor-π-acceptor (D-π-A) and labeled as 19, 20 and 21, have been designed and synthesized for application in dye-sensitized solar cells (DSSC). Once the design of the π-acceptor block was fixed, containing the BTBT as the π-bridge and the cyanoacrylic group as the electron acceptor and anchoring unit, we selected three donor units with different electron-donor capacity, in order to assemble new chromophores with high molar extinction coefficients (ε), whose absorption features well reflect the good performance of the final DSSC devices. Starting with the 19 dye, which shows a molar extinction coefficient ε of over 14,000 M(-1) cm(-1) and takes into account the absorption maximun at the longer wavelength, the substitution of the BFT donor unit with the BFA yields a great enhancement of absorptivity (molar extinction coefficient ε > 42,000 M(-1) cm(-1)), until reaching the higher value (ε > 69,000 M(-1) cm(-1)) with the BFPhz donor unit. The good general photovoltaic performances obtained with the three dyes highlight the suitable properties of electron-transport of the BTBT as the π-bridge in organic chromophore for DSSC, making this very cheap and easy to synthesize molecule particularly attractive for efficient and low-cost photovoltaic devices.

Published
2016

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