Parallel Analyses by Mass Spectrometry (MS) and Reverse Phase Protein Array (RPPA) Reveal Complementary Proteomic Profiles in Triple-Negative Breast Cancer (TNBC) Patient Tissues and Cell Cultures
Nan Wang, Yiying ZhuiD, Lianshui Wang, Wenshuang Dai, Taobo HuiD, Zhentao Song, Xia LiiD, Qi ZhangiD, Jianfei Ma, Qianghua XiaiD, Jin LiiD, Yiqiang LiuiD, Mengping LongiD, Zhiyong DingiD
Abstract
High-plex proteomic technologies have made substantial contributions to mechanism studies and biomarker discovery in complex diseases, particularly cancer. Despite technological advancements, inherent limitations in individual proteomic approaches persist, impeding the achievement of comprehensive quantitative insights into the proteome. In this study, we employed two widely used proteomic technologies, Mass Spectrometry (MS) and Reverse Phase Protein Array (RPPA) to analyze identical samples, aiming to systematically assess the outcomes and performance of the different technologies. Additionally, we sought to establish an integrated workflow by combining these two proteomic approaches to augment the coverage of protein targets for discovery purposes. We used fresh frozen tissue samples from triple-negative breast cancer (TNBC) and cell line samples to evaluate both technologies and implement this dual-proteomic strategy. Using a single-step protein denaturation and extraction protocol, protein samples were subjected to reverse phase chromatography (LC) followed by electrospray ionization (ESI)-mediated MS/MS for proteomic profiling. Concurrently, identical sample aliquots were analyzed by RPPA for profiling of over 300 proteins and phosphoproteins that are in key signaling pathways or druggable targets in cancer. Both proteomic methods demonstrated the expected ability to differentiate samples by groups, revealing distinct proteomic patterns under various experimental conditions, albeit with minimal overlap in identified targets. Mechanism-based analysis uncovered divergent biological processes identified with the two proteomic technologies, capitalizing on their complementary exploratory potential.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 6
- FWCI
- 0.73
- Field percentile
- top 39%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Molecular characterization of triple negative breast cancer formaldehyde-fixed paraffin-embedded samples by data independent acquisition proteomics
S. Garcia-Adrian, L. Trilla-Fuertes, … E. Espinosa·bioRxiv·Sep 21, 2020
- Integrative analysis of multi-platform reverse-phase protein array data for the pharmacodynamic assessment of response to targeted therapies
A. Byron, S. Bernhardt, … L. de Koning·bioRxiv·Sep 16, 2019
- Multicenter reverse-phase protein array data integration
L. de Koning, S. Bernhardt, … A. Byron·bioRxiv·Aug 31, 2021
- The Whole Proteome, Phosphoproteome, and Glycoproteome Landscape of Pan-Cancer Cell Lines Profiled by Mass Spectrometry and Reverse Phase Protein Array
Wenhao Shi, Tianlong He, … Yiying Zhu·iSciencePeer-reviewed·Sep 5, 2025
- Identifying tissue states by spatial protein patterns related to chemotherapy response in triple-negative breast cancer
Luciana Melina Luque, Asif Khan, … Linus J. Schumacher·bioRxiv·Oct 6, 2025
- Protein Profiling In Cancer Cell Lines And Tumor Tissue Using Reverse Phase Protein Arrays
Xiaohong Jing, Weiqing Wang, … Chris Sander·bioRxiv·May 31, 2017