Attribute Analytics Performance Metrics from the MAM Consortium Interlaboratory Study

• DOI: 10.1021/jasms.2c00129
• Publication Date: 2022-08-26T16:49:39Z
• Authors: 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
• Keywords: Identification

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 traditional peptide mapping methods; it leverages mass spectrometry (MS) detection confident identification quantitation of many types attributes may be targeted monitoring. While has widely explored across the industry, yet gain strong foothold within QC laboratories replacement established orthogonal platforms. Members consortium recently undertook an interlaboratory study evaluate industry-wide status MAM. Here we present results this they pertain attribute analytics component MAM, including investigation into sources variability between comparison data methods. These are made available with eye toward aiding community further optimizing enable its more frequent use environment.