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

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

Glycosylation of Type I Collagen

Autor: Mitsuo, Yamauchi, Marnisa, Sricholpech, Masahiko, Terajima, Kenneth B, Tomer, Irina, Perdivara

Publikováno v: Methods in molecular biology (Clifton, N.J.). 1934

Fibrillar type I collagen is the most abundant structural protein in most tissues and organs. One of the unique and functionally important characteristics of collagen is sequential posttranslational modifications of lysine (Lys) residues. In the endo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::7a07114752723d2c91ff1f613a315f24
https://pubmed.ncbi.nlm.nih.gov/31256377

Glycosylation of Type I Collagen

Autor: Irina Perdivara, Mitsuo Yamauchi, Marnisa Sricholpech, Kenneth B. Tomer, Masahiko Terajima

Publikováno v: Post-Translational Modification of Proteins ISBN: 9781493990535

Fibrillar type I collagen is the most abundant structural protein in most tissues and organs. One of the unique and functionally important characteristics of collagen is sequential posttranslational modifications of lysine (Lys) residues. In the endo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::639bc640fe48901c5655a8daf458458b
https://doi.org/10.1007/978-1-4939-9055-9_9

Lysyl Hydroxylase 3-mediated Glucosylation in Type I Collagen

Autor: Kenneth B. Tomer, Mitsuo Yamauchi, Irina Perdivara, Hideaki Nagaoka, Marnisa Sricholpech, Masahiko Terajima, Megumi Yokoyama

Publikováno v: Journal of Biological Chemistry. 287:22998-23009

Recently, by employing the short hairpin RNA technology, we have generated MC3T3-E1 (MC)-derived clones stably suppressing lysyl hydroxylase 3 (LH3) (short hairpin (Sh) clones) and demonstrated the LH3 function as glucosyltransferase in type I collag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::253c3c1c753c71d32b8c4d14b073359b
https://doi.org/10.1074/jbc.m112.343954