Literature DB >> 26901310

Label-free capture of breast cancer cells spiked in buffy coats using carbon nanotube antibody micro-arrays.

Farhad Khosravi1, Patrick Trainor, Shesh N Rai, Goetz Kloecker, Eric Wickstrom, Balaji Panchapakesan.   

Abstract

We demonstrate the rapid and label-free capture of breast cancer cells spiked in buffy coats using nanotube-antibody micro-arrays. Single wall carbon nanotube arrays were manufactured using photo-lithography, metal deposition, and etching techniques. Anti-epithelial cell adhesion molecule (EpCAM) antibodies were functionalized to the surface of the nanotube devices using 1-pyrene-butanoic acid succinimidyl ester functionalization method. Following functionalization, plain buffy coat and MCF7 cell spiked buffy coats were adsorbed on to the nanotube device and electrical signatures were recorded for differences in interaction between samples. A statistical classifier for the 'liquid biopsy' was developed to create a predictive model based on dynamic time warping to classify device electrical signals that corresponded to plain (control) or spiked buffy coats (case). In training test, the device electrical signals originating from buffy versus spiked buffy samples were classified with ∼100% sensitivity, ∼91% specificity and ∼96% accuracy. In the blinded test, the signals were classified with ∼91% sensitivity, ∼82% specificity and ∼86% accuracy. A heatmap was generated to visually capture the relationship between electrical signatures and the sample condition. Confocal microscopic analysis of devices that were classified as spiked buffy coats based on their electrical signatures confirmed the presence of cancer cells, their attachment to the device and overexpression of EpCAM receptors. The cell numbers were counted to be ∼1-17 cells per 5 μl per device suggesting single cell sensitivity in spiked buffy coats that is scalable to higher volumes using the micro-arrays.

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Year:  2016        PMID: 26901310      PMCID: PMC5065025          DOI: 10.1088/0957-4484/27/13/13LT02

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  28 in total

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2.  The application of organic electrochemical transistors in cell-based biosensors.

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Review 5.  The biology of the 17-1A antigen (Ep-CAM).

Authors:  M Balzar; M J Winter; C J de Boer; S V Litvinov
Journal:  J Mol Med (Berl)       Date:  1999-10       Impact factor: 4.599

6.  Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays.

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Journal:  Epigenetics       Date:  2012-05-01       Impact factor: 4.528

7.  Detection and quantification of small numbers of circulating tumour cells in peripheral blood using laser scanning cytometer (LSC).

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8.  Rapid detection and profiling of cancer cells in fine-needle aspirates.

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Review 9.  The emerging role of EpCAM in cancer and stem cell signaling.

Authors:  Markus Munz; Patrick A Baeuerle; Olivier Gires
Journal:  Cancer Res       Date:  2009-07-07       Impact factor: 12.701

10.  A proteomic view of the Plasmodium falciparum life cycle.

Authors:  Laurence Florens; Michael P Washburn; J Dale Raine; Robert M Anthony; Munira Grainger; J David Haynes; J Kathleen Moch; Nemone Muster; John B Sacci; David L Tabb; Adam A Witney; Dirk Wolters; Yimin Wu; Malcolm J Gardner; Anthony A Holder; Robert E Sinden; John R Yates; Daniel J Carucci
Journal:  Nature       Date:  2002-10-03       Impact factor: 49.962

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  4 in total

1.  Static micro-array isolation, dynamic time series classification, capture and enumeration of spiked breast cancer cells in blood: the nanotube-CTC chip.

Authors:  Farhad Khosravi; Patrick J Trainor; Christopher Lambert; Goetz Kloecker; Eric Wickstrom; Shesh N Rai; Balaji Panchapakesan
Journal:  Nanotechnology       Date:  2016-09-29       Impact factor: 3.874

2.  Ultrasensitive Label-Free Sensing of IL-6 Based on PASE Functionalized Carbon Nanotube Micro-Arrays with RNA-Aptamers as Molecular Recognition Elements.

Authors:  Farhad Khosravi; Seyed Masoud Loeian; Balaji Panchapakesan
Journal:  Biosensors (Basel)       Date:  2017-04-17

3.  Carbon nanotube field-effect transistor (CNT-FET)-based biosensor for rapid detection of SARS-CoV-2 (COVID-19) surface spike protein S1.

Authors:  Mazin A Zamzami; Gulam Rabbani; Abrar Ahmad; Ahmad A Basalah; Wesam H Al-Sabban; Saeyoung Nate Ahn; Hani Choudhry
Journal:  Bioelectrochemistry       Date:  2021-10-15       Impact factor: 5.373

4.  Classification of biosensor time series using dynamic time warping: applications in screening cancer cells with characteristic biomarkers.

Authors:  Shesh N Rai; Patrick J Trainor; Farhad Khosravi; Goetz Kloecker; Balaji Panchapakesan
Journal:  Open Access Med Stat       Date:  2016-06-18
  4 in total

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