Projects per year
Abstract / Description of output
Reverse-phase protein array (RPPA) technology uses panels of high-specificity antibodies to measure proteins and protein post-translational modifications in cells and tissues. The approach offers sensitive and precise quantification of large numbers of samples and has thus found applications in the analysis of
5 clinical and pre-clinical samples. For effective integration into drug development and clinical practice, robust assays with consistent results are essential. Leveraging a collaborative RPPA model, we set out to assess the variability between three different RPPA platforms using distinct instrument set-ups and workflows. Employing multiple RPPA-based approaches operated across distinct laboratories, we characterised a range of human breast cancer cells and their protein-level responses to two clinically relevant cancer drugs. We integrated multi-platform RPPA data and used unsupervised learning to identify protein expression and phosphorylation signatures that were not dependent on RPPA platform and analysis workflow. Our findings indicate that proteomic analyses of cancer cell lines using different RPPA platforms can identify concordant profiles of response to pharmacological inhibition, including when using different antibodies to measure the same target antigens. These results highlight the robustness and the reproducibility of RPPA technology and its capacity to identify protein markers of disease or response to therapy.
5 clinical and pre-clinical samples. For effective integration into drug development and clinical practice, robust assays with consistent results are essential. Leveraging a collaborative RPPA model, we set out to assess the variability between three different RPPA platforms using distinct instrument set-ups and workflows. Employing multiple RPPA-based approaches operated across distinct laboratories, we characterised a range of human breast cancer cells and their protein-level responses to two clinically relevant cancer drugs. We integrated multi-platform RPPA data and used unsupervised learning to identify protein expression and phosphorylation signatures that were not dependent on RPPA platform and analysis workflow. Our findings indicate that proteomic analyses of cancer cell lines using different RPPA platforms can identify concordant profiles of response to pharmacological inhibition, including when using different antibodies to measure the same target antigens. These results highlight the robustness and the reproducibility of RPPA technology and its capacity to identify protein markers of disease or response to therapy.
Original language | English |
---|---|
Journal | Scientific Reports |
Early online date | 15 Dec 2020 |
DOIs | |
Publication status | E-pub ahead of print - 15 Dec 2020 |
Fingerprint
Dive into the research topics of 'Integrative analysis of multi-platform reverse-phase protein array data for the pharmacodynamic assessment of response to targeted therapies'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Cancer Research UK Edinburgh Centre Award 2017/2018
Frame, M. & Tomlinson, I.
1/04/17 → 31/03/22
Project: Research
Equipment
-
Edinburgh Drug Discovery
Asier Unciti-Broceta (Manager), Scott Webster (Manager) & Neil Carragher (Manager)
Deanery of Molecular, Genetic and Population Health SciencesFacility/equipment: Facility
-
Host and Tumour Profiling Unit (HTPU) Microarray Services
Alison Munro (Manager) & Kenneth Macleod (Other)
Deanery of Molecular, Genetic and Population Health SciencesFacility/equipment: Facility