Zobrazeno 1 - 10 of 95 pro vyhledávání: '"Gabriella Leo"'
1
Attribute Analytics Performance Metrics from the MAM Consortium Interlaboratory Study
Autor: Trina Mouchahoir, John E. Schiel, Rich Rogers, Alan Heckert, Benjamin J. Place, Aaron Ammerman, Xiaoxiao Li, Tom Robinson, Brian Schmidt, Chris M. Chumsae, Xinbi Li, Anton V. Manuilov, Bo Yan, Gregory O. Staples, Da Ren, Alexander J. Veach, Dongdong Wang, Wael Yared, Zoran Sosic, Yan Wang, Li Zang, Anthony M. Leone, Peiran Liu, Richard Ludwig, Li Tao, Wei Wu, Ahmet Cansizoglu, Andrew Hanneman, Greg W. Adams, Irina Perdivara, Hunter Walker, Margo Wilson, Arnd Brandenburg, Nick DeGraan-Weber, Stefano Gotta, Joe Shambaugh, Melissa Alvarez, X. Christopher Yu, Li Cao, Chun Shao, Andrew Mahan, Hirsh Nanda, Kristen Nields, Nancy Nightlinger, Ben Niu, Jihong Wang, Wei Xu, Gabriella Leo, Nunzio Sepe, Yan-Hui Liu, Bhumit A. Patel, Douglas Richardson, Yi Wang, Daniela Tizabi, Oleg V. Borisov, Yali Lu, Ernest L. Maynard, Albrecht Gruhler, Kim F. Haselmann, Thomas N. Krogh, Carsten P. Sönksen, Simon Letarte, Sean Shen, Kristin Boggio, Keith Johnson, Wenqin Ni, Himakshi Patel, David Ripley, Jason C. Rouse, Ying Zhang, Carly Daniels, Andrew Dawdy, Olga Friese, Thomas W. Powers, Justin B. Sperry, Josh Woods, Eric Carlson, K. Ilker Sen, St John Skilton, Michelle Busch, Anders Lund, Martha Stapels, Xu Guo, Sibylle Heidelberger, Harini Kaluarachchi, Sean McCarthy, John Kim, Jing Zhen, Ying Zhou, Sarah Rogstad, Xiaoshi Wang, Jing Fang, Weibin Chen, Ying Qing Yu, John G. Hoogerheide, Rebecca Scott, Hua Yuan
Publikováno v: Journal of the American Society for Mass Spectrometry. 33:1659-1677
The multi-attribute method (MAM) was conceived as a single assay to potentially replace multiple single-attribute assays that have long been used in process development and quality control (QC) for protein therapeutics. MAM is rooted in traditional p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fbb68de4c53ee4678b9e74066d51588
https://doi.org/10.1021/jasms.2c00129
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4
New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study
Autor: Irina Perdivara, Ben Niu, Kim F. Haselmann, St John Skilton, Anthony Leone, Gregory O. Staples, Carsten P. Sønksen, Helena Maria Barysz, Andrew Hanneman, Chun Shao, Rebecca Scott, Anders Lund, Carly Daniels, Michael Jahn, Da Ren, Nunzio Sepe, K. Ilker Sen, Zoran Sosic, David Ripley, Jing Zhen, Margo Wilson, Melissa Alvarez, John G Hoogerheide, Xinbi Li, Harini Kaluarachchi, Josh Woods, Wenqin Ni, Albrecht Gruhler, Keith A. Johnson, Arnd Brandenburg, Kristen Nields, Michelle Busch, Douglas D. Richardson, Yan Wang, Ahmet Cansizoglu, Xiaoxiao Li, Greg W Adams, Simon Letarte, Joe Shambaugh, Hua Yuan, Trina Mouchahoir, Tom Robinson, Xiaoshi Wang, Nancy S. Nightlinger, Alexander Julian Veach, Chris Chumsae, Eric Carlson, Dongdong Wang, Sean Shen, Jing Fang, Wei Wu, Stefano Gotta, Justin B. Sperry, Hirsh Nanda, X. Christopher Yu, Sibylle Heidelberger, Bhumit A. Patel, Jihong Wang, Sean McCarthy, Himakshi Patel, Thomas N. Krogh, Hunter Walker, Olga V. Friese, Daniela Tizabi, Yali Lu, Kristin Boggio, Ernest L. Maynard, Rich Rogers, Ying Zhou, Nick DeGraan-Weber, John E. Schiel, Weibin Chen, Jason C. Rouse, Li Tao, Thomas W. Powers, John Kim, Xu Guo, Bo Yan, Gabriella Leo, Ying Zhang, Oleg V. Borisov, Ying Qing Yu, Martha Stapels, Wael Yared, Yan-Hui Liu, Alan Heckert, Sarah Rogstad, Li Zang, Aaron Ammerman, Li Cao, Benjamin J. Place, Richard Ludwig, Anton V. Manuilov, Andrew Mahan, Andrew Dawdy, Yi Wang, Brian Schmidt, Peiran Liu
Publikováno v: Journal of the American Society for Mass Spectrometry. 32:913-928
The Multi-Attribute Method (MAM) Consortium was initially formed as a venue to harmonize best practices, share experiences, and generate innovative methodologies to facilitate widespread integration of the MAM platform, which is an emerging ultra-hig
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4baf4a0ab2df01bdb011465e0f168239
https://doi.org/10.1021/jasms.0c00415
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5
Single-walled carbon nanotubes protect photosynthetic reactions in Chlamydomonas reinhardtii against photoinhibition
Autor: Taras K. Antal, Alena A. Volgusheva, Galina P. Kukarskikh, Evgeniy P. Lukashev, Alexander A. Bulychev, Andrea Margonelli, Silvia Orlanducci, Gabriella Leo, Luciana Cerri, Esa Tyystjärvi, Maya D. Lambreva
Single-walled carbon nanotubes (SWCNTs) are among the most exploited carbon allotropes in nanosensing, bioengineering, and photobiological applications, however, the interactions of nanotubes with the photosynthetic process and structures are still p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a929933eb73ecbae7eb4862a94831ad
https://hdl.handle.net/2108/313567
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6
Electrochemical and morphological layer-by-layer characterization of electrode interfaces during a label-free impedimetric immunosensor build-up: The case of ochratoxin A
Autor: Katia Buonasera, Rocco Cancelliere, Gabriella Leo, David Albano, Giuseppina Rea, Benedetta Brugnoli, Andrea Margonelli
Publikováno v: Applied surface science 567 (2021): 150791. doi:10.1016/j.apsusc.2021.150791
info:cnr-pdr/source/autori:Cancelliere R.; Albano D.; Brugnoli B.; Buonasera K.; Leo G.; Margonelli A.; Rea G./titolo:Electrochemical and morphological layer-by-layer characterization of electrode interfaces during a label-free impedimetric immunosensor build-up: The case of ochratoxin A/doi:10.1016%2Fj.apsusc.2021.150791/rivista:Applied surface science/anno:2021/pagina_da:150791/pagina_a:/intervallo_pagine:150791/volume:567
In this paper, we provide an in-depth electrochemical characterization of a label-free impedimetric immunosensor for rapid detection of ochratoxin A. The sensor was based on a carbodiimide-mediated amide coupling reaction to immobilize a specific och
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2538a42b79e8b1e8a7c5dd63d270394
http://www.cnr.it/prodotto/i/456758
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7
Regulating levels of the neuromodulatord-serine in human brain: structural insight into pLG72 andd-amino acid oxidase interaction
Autor: Leila Birolo, Giovanni Smaldone, Laura Caldinelli, Gianluca Molla, Loredano Pollegioni, Piero Pucci, Ida Orefice, Luciano Pirone, Gabriella Leo, Patrick Eliometri, Emilia Pedone, Sonia Di Gaetano, Silvia Sacchi
Publikováno v: The FEBS Journal. 283:3353-3370
The human flavoenzyme D-amino acid oxidase (hDAAO) degrades the NMDA-receptor modulator D-serine in the brain. Whereas hDAAO has been extensively characterized, little is known about its main modulator pLG72, a small protein encoded by the primate-sp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcebd6a252b08499a3d6b59bbd65938d
https://doi.org/10.1111/febs.13809
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8
Akademický článek
Altered Brain Cholesterol Machinery in a Down Syndrome Mouse Model: A Possible Common Feature with Alzheimer’s Disease
Autor: Erica Staurenghi, Gabriella Testa, Valerio Leoni, Rebecca Cecci, Lucrezia Floro, Serena Giannelli, Eugenio Barone, Marzia Perluigi, Gabriella Leonarduzzi, Barbara Sottero, Paola Gamba
Publikováno v: Antioxidants, Vol 13, Iss 4, p 435 (2024)
Down syndrome (DS) is a complex chromosomal disorder considered as a genetically determined form of Alzheimer’s disease (AD). Maintenance of brain cholesterol homeostasis is essential for brain functioning and development, and its dysregulation is
Externí odkaz: https://doaj.org/article/f196c69f618141d8887f99601ff9edc1
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9
Ultraviolet laser-induced cross-linking in peptides
Autor: Sandrine Bourgoin-Voillard, Gabriella Leo, Catherine E. Costello, Leila Birolo, Gennaro Marino, Carlo Altucci, Rosario Esposito, Raffaele Velotta, Alfredo Maria Gravagnuolo
Publikováno v: Rapid Communications in Mass Spectrometry. 27:1660-1668
RATIONALE: The aim of this study was to demonstrate, and to characterize by high-resolution mass spectrometry that it is possible to preferentially induce covalent cross-links in peptides by using high-energy femtosecond ultraviolet (UV) laser pulses
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::23dc1a946c29980552541a8aa31b6930
https://doi.org/10.1002/rcm.6610
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10
Theranostics for P4 Medicine
Autor: Caterina CINTI, Francesco BALDINI, Daniela BANTI, Valentin Alek DEDIU, Giorgio EINAUDI, Gabriella LEO, Luisa TONDELLI, Maria Giovanna TRIVELLA, Ilaria SANTONI
Publikováno v: pp.1–61, 2016
The main aim of the F2F meeting "Theranostics for P4-Medicine" was to collect opinions from international experts in order to identify long term future needs and bottlenecks in the exploitation of Theranostics for a Predictive, Preventive, Personaliz
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::47bc3f7e7a0bb9a8b8cd126283fcc0d6
http://www.foresight.cnr.it/working-groups/wg-health
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