Data for: "Characterisation of Estrogen Receptor Alpha (ERα) Expression in Breast Cancer Cells and Effect of Drug Treatment Using Targeted Nanoparticles and SERS"

Dataset

Description

The purpose of this dataset is to use a non-destructive approach for detecting and localising ERα at the single cell level using surface enhanced Raman spectroscopy (SERS) combined with functionalised gold nanoparticles (ERα-AuNPs). ERα-AuNP nanotags exhibit a great labelling specificity for ERα and they are a promising tool for the estimation of ERα expression levels, without the requirement of destructive and time-consuming techniques, such as western blot. Here, it is also highlighted the great opportunity of using SERS as a rapid and sensitive method for understanding the activity of selective estrogen receptor degraders (SERDs) in breast cancer. Therefore, it creates the potential of using SERS for both diagnosis and investigation of the efficacy of SERD drugs in breast cancer. This has a promising future use in personalised clinical approaches where patient derived samples could be screened for assessing the medication activity to avoid drug resistance outcomes. The dataset files are described in a separate Word document.

Moratorium on data access until 27/11/2021
Date made available16 Sep 2020
PublisherUniversity of Strathclyde

Research Output

Open Access
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    Cite this

    Kapara, A. (Creator), Faulds, K. (Supervisor) (16 Sep 2020). Data for: "Characterisation of Estrogen Receptor Alpha (ERα) Expression in Breast Cancer Cells and Effect of Drug Treatment Using Targeted Nanoparticles and SERS". University of Strathclyde. 10.15129/7d12a867-232a-41f3-817a-82bfcb1d6349