Literature DB >> 19123651

Spectral discrimination of live prostate and bladder cancer cell lines using Raman optical tweezers.

Tim J Harvey1, Elsa Correia Faria, Alex Henderson, Ehsan Gazi, Andrew D Ward, Noel W Clarke, Michael D Brown, Richard D Snook, Peter Gardner.   

Abstract

An investigation into the use of Raman optical tweezers to study urological cell lines is reported, with the ultimate aim of determining the presence of malignant CaP cells in urine and peripheral fluids. To this end, we trapped and analyzed live CaP cells (PC-3) and bladder cells (MGH-U1), because both prostate and bladder cells are likely to be present in urine. The laser excitation wavelength of 514.5 nm was used, with Raman light collected both in back- and forward-scattering geometric configurations. For the backscattering configuration the same laser was used for trapping and excitation, while for forward scattering a 1064 nm laser provided the trapping beam. Analysis of cell-diameter distributions for cells analyzed suggested normal distribution of cell sizes, indicating an unbiased cell-selection criterion. Principal components analysis afforded discrimination of MGH-U1 and PC-3 spectra collected in either configuration, demonstrating that it is possible to trap, analyze, and differentiate PC-3 from MGH-U1 cells using a 514.5 nm laser. By loading plot analysis, possible biomolecules responsible for discrimination in both configurations were determined. Finally, the effect of cell size on discrimination was investigated, with results indicating that separation is based predominantly on cell type rather than cell size.

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Year:  2008        PMID: 19123651     DOI: 10.1117/1.2999609

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  13 in total

1.  Quantitative ratiometric discrimination between noncancerous and cancerous prostate cells based on neuropilin-1 overexpression.

Authors:  Alessia Pallaoro; Gary B Braun; Martin Moskovits
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-19       Impact factor: 11.205

2.  Raman tweezers spectroscopy of live, single red and white blood cells.

Authors:  Aseefhali Bankapur; Elsa Zachariah; Santhosh Chidangil; Manna Valiathan; Deepak Mathur
Journal:  PLoS One       Date:  2010-04-29       Impact factor: 3.240

3.  Identifying the lineages of individual cells in cocultures by multivariate analysis of Raman spectra.

Authors:  Yelena Ilin; Mary L Kraft
Journal:  Analyst       Date:  2014-05-07       Impact factor: 4.616

4.  Micro-Raman spectroscopy of silver nanoparticle induced stress on optically-trapped stem cells.

Authors:  Aseefhali Bankapur; R Sagar Krishnamurthy; Elsa Zachariah; Chidangil Santhosh; Basavaraj Chougule; Bhavishna Praveen; Manna Valiathan; Deepak Mathur
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

Review 5.  Raman spectroscopy in biomedicine - non-invasive in vitro analysis of cells and extracellular matrix components in tissues.

Authors:  Eva Brauchle; Katja Schenke-Layland
Journal:  Biotechnol J       Date:  2012-11-19       Impact factor: 4.677

6.  Optimisation of wavelength modulated Raman spectroscopy: towards high throughput cell screening.

Authors:  Bavishna B Praveen; Michael Mazilu; Robert F Marchington; C Simon Herrington; Andrew Riches; Kishan Dholakia
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

7.  Single Particle Differentiation through 2D Optical Fiber Trapping and Back-Scattered Signal Statistical Analysis: An Exploratory Approach.

Authors:  Joana S Paiva; Rita S R Ribeiro; João P S Cunha; Carla C Rosa; Pedro A S Jorge
Journal:  Sensors (Basel)       Date:  2018-02-27       Impact factor: 3.576

Review 8.  Vibrational Spectroscopy Fingerprinting in Medicine: from Molecular to Clinical Practice.

Authors:  Vera Balan; Cosmin-Teodor Mihai; Florina-Daniela Cojocaru; Cristina-Mariana Uritu; Gianina Dodi; Doru Botezat; Ioannis Gardikiotis
Journal:  Materials (Basel)       Date:  2019-09-06       Impact factor: 3.623

9.  Mechanochemistry of single red blood cells monitored using Raman tweezers.

Authors:  Saurabh Raj; Mónica Marro; Michal Wojdyla; Dmitri Petrov
Journal:  Biomed Opt Express       Date:  2012-03-22       Impact factor: 3.732

10.  Fatty-Acid Uptake in Prostate Cancer Cells Using Dynamic Microfluidic Raman Technology.

Authors:  Nga-Tsing Tang; Richard D Snook; Mick D Brown; Bryan A Haines; Andrew Ridley; Peter Gardner; Joanna L Denbigh
Journal:  Molecules       Date:  2020-04-03       Impact factor: 4.411

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