Automated imaging and identification of proteoforms directly from ovarian cancer tissue

التفاصيل البيبلوغرافية
العنوان:	Automated imaging and identification of proteoforms directly from ovarian cancer tissue
المؤلفون:	John P. McGee, Pei Su, Kenneth R. Durbin, Michael A. R. Hollas, Nicholas W. Bateman, G. Larry Maxwell, Thomas P. Conrads, Ryan T. Fellers, Rafael D. Melani, Jeannie M. Camarillo, Jared O. Kafader, Neil L. Kelleher
المصدر:	Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
بيانات النشر:	Nature Portfolio, 2023.
سنة النشر:	2023
المجموعة:	LCC:Science
مصطلحات موضوعية:	Science
الوصف:	Abstract The molecular identification of tissue proteoforms by top-down mass spectrometry (TDMS) is significantly limited by throughput and dynamic range. We introduce AutoPiMS, a single-ion MS based multiplexed workflow for top-down tandem MS (MS2) directly from tissue microenvironments in a semi-automated manner. AutoPiMS directly off human ovarian cancer sections allowed for MS2 identification of 73 proteoforms up to 54 kDa at a rate of
نوع الوثيقة:	article
وصف الملف:	electronic resource
اللغة:	English
تدمد:	2041-1723
Relation:	https://doaj.org/toc/2041-1723
DOI:	10.1038/s41467-023-42208-3
URL الوصول:	https://doaj.org/article/7587327dde1148caba435a60d10f292c
رقم الأكسشن:	edsdoj.7587327dde1148caba435a60d10f292c
قاعدة البيانات:	Directory of Open Access Journals

الوصف
تدمد:	20411723
DOI:	10.1038/s41467-023-42208-3