A Robust and Automated Platform for Charge Detection Mass Spectrometry of Megadalton Biotherapeutics

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2025-02-19 DOI:10.1021/acs.analchem.4c06397
Samuel E. Janisse, Ryan T. Fellers, Shannon A. Raab, Michael P. Goodwin, Kyle P. Bowen, Zhirui J. Lian, Kenneth R. Durbin, Michael W. Senko, Philip D. Compton, Jared O. Kafader, Neil L. Kelleher
{"title":"A Robust and Automated Platform for Charge Detection Mass Spectrometry of Megadalton Biotherapeutics","authors":"Samuel E. Janisse, Ryan T. Fellers, Shannon A. Raab, Michael P. Goodwin, Kyle P. Bowen, Zhirui J. Lian, Kenneth R. Durbin, Michael W. Senko, Philip D. Compton, Jared O. Kafader, Neil L. Kelleher","doi":"10.1021/acs.analchem.4c06397","DOIUrl":null,"url":null,"abstract":"Gene therapies based on adeno-associated viruses are an emerging area with high potential to improve human health. Current quality control techniques to assess contaminates and byproducts from the adeno-associated virus (AAV) production pipelines are lacking in robustness and throughput. To address these limitations, we coupled an automated microfluidic device called SampleStream with Orbitrap-based charge detection mass spectrometry (SS-CDMS). We demonstrate that the SS-CDMS workflow performs AAV analysis in under 15 min per sample in a completely autonomous manner. The SS-CDMS workflow enables rapid assessment of key quality control attributes (CQAs), such as of molecular weight and content ratio of AAV formulations with a small sample requirement (&lt;2 × 10<sup>9</sup> capsids) without being limited by sample concentration. Additionally, this work shows the potential for the SS-CDMS workflow to be implemented at various stages of the production pipeline through effective sample clean up from more complex AAV matrices such as cell culture media.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"9 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c06397","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Gene therapies based on adeno-associated viruses are an emerging area with high potential to improve human health. Current quality control techniques to assess contaminates and byproducts from the adeno-associated virus (AAV) production pipelines are lacking in robustness and throughput. To address these limitations, we coupled an automated microfluidic device called SampleStream with Orbitrap-based charge detection mass spectrometry (SS-CDMS). We demonstrate that the SS-CDMS workflow performs AAV analysis in under 15 min per sample in a completely autonomous manner. The SS-CDMS workflow enables rapid assessment of key quality control attributes (CQAs), such as of molecular weight and content ratio of AAV formulations with a small sample requirement (<2 × 109 capsids) without being limited by sample concentration. Additionally, this work shows the potential for the SS-CDMS workflow to be implemented at various stages of the production pipeline through effective sample clean up from more complex AAV matrices such as cell culture media.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Megadalton生物治疗药物电荷检测质谱的鲁棒自动化平台
基于腺相关病毒的基因治疗是一个新兴领域,在改善人类健康方面具有很高的潜力。目前用于评估腺相关病毒(AAV)生产管道的污染物和副产物的质量控制技术缺乏鲁棒性和吞吐量。为了解决这些限制,我们将一个名为SampleStream的自动化微流体装置与基于轨道阱的电荷检测质谱(SS-CDMS)相结合。我们证明了SS-CDMS工作流程以完全自主的方式在每个样品的15分钟内执行AAV分析。SS-CDMS工作流程可以快速评估关键质量控制属性(cqa),例如分子量和AAV配方的含量比,样品要求很小(2 × 109衣壳),而不受样品浓度的限制。此外,这项工作显示了SS-CDMS工作流程的潜力,可以通过从更复杂的AAV基质(如细胞培养基)中有效地清理样品,在生产管道的各个阶段实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
期刊最新文献
Breathomics-Guided Solid-State Sensor for Noninvasive Point-of-Care Diabetes Screening. Rapid Classification of Pantoea spp. via Raman Flow Cytometry. Nondestructive In-Situ Measurement of Alkaline Phosphatase Activity of Human Intestinal Organoids in Hydrogel Domes Using Scanning Electrochemical Microscopy. A Novel Dual Signal Amplification Strategy Integrating APE1-Assisted DNA Walker with Rolling Circle Amplification for Highly Sensitive, Label-Free Exosomal microRNA Analysis. Exploring the Ultralow Limit of Detection for Aromatic/Hydrophobic Nanoplastics with Ultrasmall Size Enables an LSPR Optical Microfiber.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1