Back to Search Start Over

Mass spectrometry-based proteomic analysis of NSCLC tumor and biopsy samples

Authors :
Taner Arslan
Marija Kotevska
Sofi Isaksson
Lukas M. Orre
Johan Staaf
Rui M. Branca
Mats Jonsson
Fabio Socciarelli
Mohammad Pirmoradian
Georgios Mermelekas
Henrik J. Johansson
Maria Planck
Åslaug Helland
Krishna Pinganksha Purohit
Janne Lehtiö
Hans Brunnström
Anna Karlsson
Husen M. Umer
Mattias Aine
Elsa Arbajian
Hassan Foroughi Asl
Olena Berkovska
Richard Cunningham
Yanbo Pan
David Tamborero
Ioannis Siavelis
Carsten Gram Hanson
Vilde Drageset Haakensen
Odd Terje Brustugun
Publication Year :
2021
Publisher :
Research Square Platform LLC, 2021.

Abstract

The associated publication reports proteogenomic analysis of non-small cell lung cancer, where we identified molecular subtypes with distinct immune evasion mechanisms and therapeutic targets, and validated our classification method in separate clinical cohorts. This protocol describes the sample preparation and mass spectrometry (MS)-based in-depth and rapid proteomic analyses of tumor and biopsy samples. We deployed single-pot solid-phase-enhanced sample preparation (SP3). For the in-depth analysis, we used TMT labeling, followed by high-resolution isoelectric focusing (HiRIEF) prefractionation and LC-MS with data-dependent acquisition (DDA). The reported protocol achieved analytical depth of close to 14,000 quantified proteins and almost 10,000 across the entire cohort of 141 samples. The rapid analysis was label-free, based on LC-MS with data-independent acquisition (DIA). The median number of identified proteins was 3,967 and 3,552 in two independent cohorts of tumor samples (n = 141 and 208, respectively), and 2,494 in another cohort of biopsy material (n = 84).

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........0cbdece48bd8b70feafca041d7ad5a1b
Full Text :
https://doi.org/10.21203/rs.3.pex-1560/v1