Spectroscopic analysis of Kaposi's sarcoma-associated herpesvirus infected cells by Raman tweezers

Hamden, Khalief E.; Bryan, Benjaman A.; Ford, Patrick W.; Xie, Changan; Li, Yongqing; Akula, Shaw M.

doi:10.1016/j.jviromet.2005.05.018

Cited by 27 publications

(19 citation statements)

References 29 publications

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“…It was first shown that the Raman spectra of non-infected and infected cells occurred in distinct clusters. The main differences were assigned to Raman bands that are associated with protein and DNA vibrations at 1004, 1093, and 1664 cm –1 [63]. Other studies exploring the non-invasive screening possibility of hematopoietic neoplastic B- and T-cell lines confirmed that Raman spectroscopy is suitable to discriminate between malignant-transformed and healthy cells based on significant spectral differences assigned to decreasing nucleic acid peaks in the diseased cells [64].…”

Section: Label-free Cell Identification and Characterizationmentioning

confidence: 99%

Raman spectroscopy in biomedicine – non‐invasive in vitro analysis of cells and extracellular matrix components in tissues

Brauchle

Schenke‐Layland

2012

Biotechnology Journal

115

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Raman spectroscopy is an established laser-based technology for the quality assurance of pharmaceutical products. Over the past few years, Raman spectroscopy has become a powerful diagnostic tool in the life sciences. Raman spectra allow assessment of the overall molecular constitution of biological samples, based on specific signals from proteins, nucleic acids, lipids, carbohydrates, and inorganic crystals. Measurements are non-invasive and do not require sample processing, making Raman spectroscopy a reliable and robust method with numerous applications in biomedicine. Moreover, Raman spectroscopy allows the highly sensitive discrimination of bacteria. Rama spectra retain information on continuous metabolic processes and kinetics such as lipid storage and recombinant protein production. Raman spectra are specific for each cell type and provide additional information on cell viability, differentiation status, and tumorigenicity. In tissues, Raman spectroscopy can detect major extracellular matrix components and their secondary structures. Furthermore, the non-invasive characterization of healthy and pathological tissues as well as quality control and process monitoring of in vitro-engineered matrix is possible. This review provides comprehensive insight to the current progress in expanding the applicability of Raman spectroscopy for the characterization of living cells and tissues, and serves as a good reference point for those starting in the field.

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Section: Label-free Cell Identification and Characterizationmentioning

confidence: 99%

Raman spectroscopy in biomedicine – non‐invasive in vitro analysis of cells and extracellular matrix components in tissues

Brauchle

Schenke‐Layland

2012

Biotechnology Journal

115

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“…Hamden et al 16 succeeded in discriminating BCBL-1 and BC-1 cells, which were infected with Kaposi's sarcoma-associated herpesvirus (KSHV) from BJAB cell without KSHV by using Raman tweezers. They were cultured cells in which the virus gene was already recombined.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive and label-free determination of virus infected cells by Raman spectroscopy

et al. 2014

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Abstract. The present study demonstrates that Raman spectroscopy is a powerful tool for the detection of virusinfected cells. Adenovirus infection of human embryonic kidney 293 cells was successfully detected at 12, 24, and 48 h after initiating the infection. The score plot of principal component analysis discriminated the spectra of the infected cells from those of the control cells. The viral infection was confirmed by the conventional immunostaining method performed 24 h after the infection. The newly developed method provides a fast and label-free means for the detection of virus-infected cells.

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“…Ultimately, a microfluidic high-throughput delivery system is envisaged, which would be suitable for laser-based spectroscopy, but which would not be suitable for analysis by FTIR. To this end, in our earlier Raman tweezers study we developed Raman tweezers methodologies, which have been applied to study micro-organisms [24][25][26][27][28], blood cells [29][30][31][32] and malignant epithelial cells [33][34][35], for the analysis of live single-prostate and single-bladder cells in liquid media [36]. In this proof of principle study, the Raman tweezer system facilitates a reproducible and reliable measurement position, free from any interferences that could originate from a substrate.…”

Section: Introductionmentioning

confidence: 99%

Classification of fixed urological cells using Raman tweezers

Harvey

Hughes

Ward

et al. 2009

Journal of Biophotonics

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In this paper we report on preliminary investigations into using Raman tweezers to classify urological cell lines. This builds on earlier work within the group, whereby Raman tweezer methodologies were developed, and the application of this technique to differentiate between live prostate cancer (CaP) and bladder cells lines (PC-3 and MGH-U1 respectively) was demonstrated.In this present study we analysed chemically fixed cells using two different fixative methods; SurePath (a commercial available liquid based cytology media) and 4% v/v formalin/PBS fixatives. The study has been expanded from our previous live cell study to include the androgen sensitive CaP cell line LNCaP, primary benign prostate hyperplasia (BPH) cells as well as primary urethral cells. Raman light from the cells was collected using a 514.5 nm Ar-ion laser excitation source in back-scattering configuration mode.Principal component-linear discriminate analysis (PC-LDA) models of resulting cell spectra were generated and these were validated using a blind comparison. Sensitivities and specificities of > 72% and 90% respectively, for SurePath fixed cells, and > 93% and 98% respectively for 4% v/v formalin/PBS fixed cells was achieved. The higher prediction results for the formalin fixed cells can be attributed to a better signal-to-noise ratio for spectra obtained from these cells.Following on from this work, urological cell lines were exposed to urine for up to 12 hours to determine the effect of urine on the ability to classify these cells. Results indicate that urine has no detrimental effect on prediction results.

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Spectroscopic analysis of Kaposi's sarcoma-associated herpesvirus infected cells by Raman tweezers

Cited by 27 publications

References 29 publications

Raman spectroscopy in biomedicine – non‐invasive in vitro analysis of cells and extracellular matrix components in tissues

Raman spectroscopy in biomedicine – non‐invasive in vitro analysis of cells and extracellular matrix components in tissues

Noninvasive and label-free determination of virus infected cells by Raman spectroscopy

Classification of fixed urological cells using Raman tweezers

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