Automated imaging and identification of proteoforms directly from ovarian cancer tissue

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 and Neil L. Kelleher ()
Additional contact information
John P. McGee: Northwestern University
Pei Su: Northwestern University
Kenneth R. Durbin: Proteomics Center of Excellence
Michael A. R. Hollas: Proteomics Center of Excellence
Nicholas W. Bateman: Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc
G. Larry Maxwell: Uniformed Services University of the Health Sciences
Thomas P. Conrads: Uniformed Services University of the Health Sciences
Ryan T. Fellers: Proteomics Center of Excellence
Rafael D. Melani: Northwestern University
Jeannie M. Camarillo: Northwestern University
Jared O. Kafader: Northwestern University
Neil L. Kelleher: Northwestern University

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: 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

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-42208-3 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42208-3

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-42208-3

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().