A Leaf‐Patchable Reflectance Meter for In Situ Continuous Monitoring of Chlorophyll Content

Autor: Kaiyi Zhang, Wenlong Li, Haicheng Li, Yifei Luo, Zheng Li, Xiaoshi Wang, Xiaodong Chen

Publikováno v: Advanced Science, Vol 10, Iss 35, Pp n/a-n/a (2023)

Abstract Plant wearable sensors facilitate the real‐time monitoring of plant physiological status. In situ monitoring of the plant chlorophyll content over days can provide valuable information on the photosynthetic capacity, nitrogen content, and

Externí odkaz: https://doaj.org/article/6d6934cce5c84bf0ab51e5e55f3db7ea

Metabolic labeling in middle-down proteomics allows for investigation of the dynamics of the histone code

Autor: Simone Sidoli, Congcong Lu, Mariel Coradin, Xiaoshi Wang, Kelly R. Karch, Chrystian Ruminowicz, Benjamin A. Garcia

Publikováno v: Epigenetics & Chromatin, Vol 10, Iss 1, Pp 1-15 (2017)

Abstract Background Middle-down mass spectrometry (MS), i.e., analysis of long (~50–60 aa) polypeptides, has become the method with the highest throughput and accuracy for the characterization of combinatorial histone posttranslational modification

Externí odkaz: https://doaj.org/article/37b4dca9d6b1409a856bf5de24c499d6

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

Plan Generation from Program Graph

Autor: Ao Li, Runjia Tian, Xiaoshi Wang, and, Yueheng Lu

Publikováno v: Machine Learning and the City. :167-170

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9b00183a231c2374aa9869bf6fdaf4b3
https://doi.org/10.1002/9781119815075.ch11

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