SummaryNanoparticle tracking analysis permits the determination of both the size distribution and relative concentration of microvesicles, including exosomes, in the supernatants of cultured cells and biological fluids. We have studied the release of microvesicles from the human lymphoblastoid T-cell lines Jurkat and CEM. Unstimulated, both cell lines release microvesicles in the size range 70-90 nm, which can be depleted from the supernatant by ultracentrifugation at 100 000 g, and by anti-CD45 magnetic beads, and which by immunoblotting also contain the exosome-associated proteins Alix and Tsg101. Incubation with known potentiators of exosome release, the ionophores monensin and A23187, resulted in a significant increase in microvesicle release that was both time and concentration dependent. Mass spectrometric analysis of proteins isolated from ultracentrifuged supernatants of A23187-treated cells revealed the presence of exosome-associated proteins including heat-shock protein 90, tubulin, elongation factor a1, actin and glyceraldehyde 3-phosphate dehydrogenase. Additionally, treatment of peripheral blood monocyte-derived dendritic cells with bacterial lipopolysaccharide displayed an increase in secreted microvesicles. Consequently, nanoparticle tracking analysis can be effectively applied to monitor microvesicle release from cells of the immune system.

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Photoporation is a rapidly expanding technique for the introduction of macromolecules into single cells. However, there remains no study into the true efficiency of this procedure. Here, we present a detailed analysis of transfection efficiency and cell viability for femtosecond optical transfection using a titanium sapphire laser at 800 nm. Photoporation of 4000 Chinese Hamster ovary cells was performed, representing the largest optical transfection study reported to date. We have investigated a range of laser fluences at the cell membrane and, at 1.2 microJ/cm(2), have found an average transfection efficiency of 50 +/- 10%. Contrary to recent literature, in which 100% efficiency is claimed, our measure of efficiency accounts for all irradiated cells, including those lost as a result of laser treatment, thereby providing a true biological measure of the technique.

SUMMARY1. The blood volume of the mouse has been measured using 59Fe-labelled red cells to determine the red cell volume and 131I-labelled human serum albumin to determine the plasma volume.2. Values for the blood volume of 95 0 + 1-5, 96-3 + 2-7 and 84-7 + 1P2ml./kg body wt. were found for CSl female, CBA female and CBA male mice respectively. 3. A marked discrepancy was observed between the venous (cardiac) haematocrit and the whole body haematocrit.4. The blood volume of the mouse must be determined from the red cell volume and the plasma volume, measured using appropriate labels, and not from the red cell volume or the plasma volume using the venous haematocrit.

Raman spectroscopy permits acquisition of molecular signatures from both cellular and sub-cellular samples. When combined with optical trapping we may interrogate an isolated cell reducing extraneous signals from the local environment. To date, experimental configurations have employed combinations of the single beam optical tweezers trap and Raman spectroscopy, using either the same beam or separate beams for Raman interrogation and trapping. A key problem in optical tweezers is the ability to hold and manoeuvre large cells. In this paper, we use a dual beam fibre trap to hold and manoeuvre cells combined with an orthogonally placed objective to record Raman spectra. The dual beam trap, due to its divergent light fields, offers an as yet unexploited ability to hold and move large cellular objects with reduced prospects of photodamage. We additionally show how this system permits us to move large primary human keratinocytes (approximately 30 microns in diameter), such that we may record Raman spectra from local parts of a trapped cell with ease. Finally, we develop a rudimentary microfluidic system used to generate a flow of cells. Using our dual beam trap, combined with this flow system, we hold and acquire Raman spectra from individual cells chosen from a sample of HL60 human promyelocytic leukemia cells.

Early detection of malignant tumours, or their precursor lesions, improves patient outcome. High risk human papillomavirus (HPV), particularly HPV16, infection can lead to the development of uterine cervical neoplasia, and therefore, the identification in clinical samples of the effects of HPV infection may have clinical value. In this report, we apply Raman microspectroscopy to live and fixed cultured cells to discriminate between defined cell types. Raman spectra were acquired from primary human keratinocytes (PHK), PHK expressing the E7 gene of HPV 16 (PHK E7) and CaSki cells, an HPV16-containing cervical carcinoma-derived cell line. Averaged Raman spectra showed variations, mostly in peaks originating from DNA and proteins, consistent with HPV gene expression and cellular changes associated with neoplasia, in both live and fixed cells. Principal component analysis produced good discrimination between the cell types, with sensitivities of up to 100% for the comparison of fixed PHK and CaSki. These results demonstrate the ability of Raman spectroscopy to discriminate between cell types representing different stages of cervical neoplasia. More specifically, this technique was able to identify cells expressing the HPV 16 E7 gene accurately and objectively, suggesting that this approach may be of value in diagnosis. Moreover, the ability to detect the effects of the virus in fixed samples also demonstrates the compatibility of Raman spectroscopy with current cervical screening methods. ' 2007 Wiley-Liss, Inc.Key words: Raman spectroscopy; cervix; neoplasia; diagnosis; human papillomavirus Cervical cancer is the second most common cancer in women worldwide, and infection with oncogenic or 'high-riskÕ human papillomavirus (HPV) types is the most significant risk factor in its aetiology. 1 HPV is present in 99.7% of invasive cervical cancers, 1,2 and therefore, early detection of the effects of HPV infection, particularly when accompanied by neoplastic changes, could improve the diagnosis of HPV-associated neoplasia. The current primary screening tool for cervical neoplasia is the Pap smear, which involves the microscopic examination of exfoliated cells for morphological abnormalities. Although effective, this technique is labour intensive and results in a significant number of false positives/negatives 3 as it is based upon a subjective interpretation of the sample. This increases the need for an objective screening tool that gives an early and confident diagnosis.Optical diagnostic techniques, such as drug-assisted tumour fluorescence, 4 natural tissue fluorescence 5 or Fourier transform infrared spectroscopy 6 have attracted much interest recently as they offer the possibility of nonintrusive objective diagnostics both in vitro and in vivo. Emerging as a forerunner among these diagnostic technologies is Raman spectroscopy. This is a laser-based scattering spectroscopy and refers to scattered light, from a molecular or cellular sample, which exhibits a frequency shift that reflects the energy of specific molecula...

Label-free chemical characterization of single cells is an important aim for biomedical research. Standard Raman spectroscopy provides intrinsic biochemical markers for noninvasive analysis of biological samples but is often hindered by the presence of fluorescence background. In this paper, we present an innovative modulated Raman spectroscopy technique to filter out the Raman spectra from the fluorescence background. The method is based on the principle that the fluorescence background does not change whereas the Raman scattering is shifted by the periodical modulation of the laser wavelength. Exploiting this physical property and importantly the multichannel lock-in detection of the Raman signal, the modulation technique fulfills the requirements of an effective fluorescence subtraction method. Indeed, once the synchronization and calibration procedure is performed, minimal user intervention is required, making the method online and less time-consuming than the other fluorescent suppression methods. We analyze the modulated Raman signal and shifted excitation Raman difference spectroscopy (SERDS) signal of 2 mum-sized polystyrene beads suspended in a solution of fluorescent dye as a function of modulation rate. We show that the signal-to-noise ratio of the modulated Raman spectra at the highest modulation rate is 3 times higher than the SERDS one. To finally evaluate the real benefits of the modulated Raman spectroscopy, we apply our technique to Chinese hamster ovary cells (CHO). Specifically, by analyzing separate spectra from the membrane, cytoplasm, and nucleus of CHO cells, we demonstrate the ability of this method to obtain localized sensitive chemical information from cells, away from the interfering fluorescence background. In particular, statistical analysis of the Raman data and classification using PCA (principal component analysis) indicate that our method allows us to distinguish between different cell locations with higher sensitivity and specificity, avoiding potential misinterpretation of the data obtained using standard background procedures.

We report a multimodal optical approach using both Raman spectroscopy and optical coherence tomography (OCT) in tandem to discriminate between colonic adenocarcinoma and normal colon. Although both of these non-invasive techniques are capable of discriminating between normal and tumour tissues, they are unable individually to provide both the high specificity and high sensitivity required for disease diagnosis. We combine the chemical information derived from Raman spectroscopy with the texture parameters extracted from OCT images. The sensitivity obtained using Raman spectroscopy and OCT individually was 89% and 78% respectively and the specificity was 77% and 74% respectively. Combining the information derived using the two techniques increased both sensitivity and specificity to 94% demonstrating that combining complementary optical information enhances diagnostic accuracy. These data demonstrate that multimodal optical analysis has the potential to achieve accurate non-invasive cancer diagnosis.