ϟ
 
DOI: 10.1021/nn900733d
OpenAccess: Closed
This work is not Open Acccess. We may still have a PDF, if this is the case there will be a green box below.

Direct Profiling of Cancer Biomarkers in Tumor Tissue Using a Multiplexed Nanostructured Microelectrode Integrated Circuit

Zhichao Fang,Leyla Soleymani,Georgios Pampalakis,Maisa Yoshimoto,Jeremy A. Squire,Edward H. Sargent,Shana O. Kelley

Microelectrode
Cancer biomarkers
Multielectrode array
2009
The analysis of panels of nucleic acid biomarkers offers valuable diagnostic and prognostic information for cancer management. A cost-effective, highly sensitive electronic chip would offer an ideal platform for clinical biomarker readout and would have maximal utility if it was (i) multiplexed, enabling on-chip assays of multiple biomarkers, and (ii) able to perform direct (PCR-free) readout of disease-related genes. Here we report a chip onto which we integrate novel nanostructured microelectrodes and with which we directly detect cancer biomarkers in heterogeneous biological samples—both cell extracts and tumor tissues. Coarse photolithographic microfabrication defines a multiplexed sensing array; bottom-up fabrication of nanostructured microelectrodes then provides sensing elements. We analyzed a panel of mRNA samples for prostate cancer related gene fusions using the chip. We accurately identified gene fusions that correlate with aggressive prostate cancer and distinguished these from fusions associated with slower-progressing forms of the disease. The multiplexed nanostructured microelectrode integrated circuit reported herein provides direct, amplification-free, sample-to-answer in under 1 h using the 10 ng of mRNA readily available in biopsy samples.
Loading...
    Cite this:
Generate Citation
Powered by Citationsy*
    Direct Profiling of Cancer Biomarkers in Tumor Tissue Using a Multiplexed Nanostructured Microelectrode Integrated Circuit” is a paper by Zhichao Fang Leyla Soleymani Georgios Pampalakis Maisa Yoshimoto Jeremy A. Squire Edward H. Sargent Shana O. Kelley published in 2009. It has an Open Access status of “closed”. You can read and download a PDF Full Text of this paper here.