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      Raman fingerprints as promising markers of cellular senescence and aging

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          Abstract

          Due to our aging population, understanding of the underlying molecular mechanisms constantly gains more and more importance. Senescent cells, defined by being irreversibly growth arrested and associated with a specific gene expression and secretory pattern, accumulate with age and thus contribute to several age-related diseases. However, their specific detection, especially in vivo, is still a major challenge. Raman microspectroscopy is able to record biochemical fingerprints of cells and tissues, allowing a distinction between different cellular states, or between healthy and cancer tissue. Similarly, Raman microspectroscopy was already successfully used to distinguish senescent from non-senescent cells, as well as to investigate other molecular changes that occur at cell and tissue level during aging. This review is intended to give an overview about various applications of Raman microspectroscopy to study aging, especially in the context of detecting senescent cells.

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          Most cited references36

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          Intraoperative brain cancer detection with Raman spectroscopy in humans.

          Cancers are often impossible to visually distinguish from normal tissue. This is critical for brain cancer where residual invasive cancer cells frequently remain after surgery, leading to disease recurrence and a negative impact on overall survival. No preoperative or intraoperative technology exists to identify all cancer cells that have invaded normal brain. To address this problem, we developed a handheld contact Raman spectroscopy probe technique for live, local detection of cancer cells in the human brain. Using this probe intraoperatively, we were able to accurately differentiate normal brain from dense cancer and normal brain invaded by cancer cells, with a sensitivity of 93% and a specificity of 91%. This Raman-based probe enabled detection of the previously undetectable diffusely invasive brain cancer cells at cellular resolution in patients with grade 2 to 4 gliomas. This intraoperative technology may therefore be able to classify cell populations in real time, making it an ideal guide for surgical resection and decision-making.
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            Single cell Raman spectroscopy for cell sorting and imaging.

            Single cell Raman spectroscopy (SCRS) is a non-invasive and label-free technology, allowing in vivo and multiple parameter analysis of individual living cells. A single cell Raman spectrum usually contains more than 1000 Raman bands which provide rich and intrinsic information of the cell (e.g. nucleic acids, protein, carbohydrates and lipids), reflecting cellular genotypes, phenotypes and physiological states. A Raman spectrum serves as a molecular 'fingerprint' of a single cell, making it possible to differentiate various cells including bacterial, protistan and animal cells without prior knowledge of the cells. However, a key drawback of SCRS is the fact that spontaneous Raman signals are naturally weak; this review discusses recent research progress in significantly enhancing and improving the signal of spontaneous Raman spectroscopy, including resonance Raman spectroscopy (RRS), coherent anti-Stokes Raman spectroscopy (CARS), stimulated Raman spectroscopy (SRS) and surface enhanced Raman scattering (SERS). This review focuses on the biotechnological development and the associated applications of SCRS, including Raman activated cell sorting (RACS) and Raman imaging and mapping. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Raman spectroscopy for cancer detection and cancer surgery guidance: translation to the clinics.

              Oncological applications of Raman spectroscopy have been contemplated, pursued, and developed at academic level for at least 25 years. Published studies aim to detect pre-malignant lesions, detect cancer in less invasive stages, reduce the number of unnecessary biopsies and guide surgery towards the complete removal of the tumour with adequate tumour resection margins. This review summarizes actual clinical needs in oncology that can be addressed by spontaneous Raman spectroscopy and it provides an overview over the results that have been published between 2007 and 2017. An analysis is made of the current status of translation of these results into clinical practice. Despite many promising results, most of the applications addressed in scientific studies are still far from clinical adoption and commercialization. The main hurdles are identified, which need to be overcome to ensure that in the near future we will see the first Raman spectroscopy-based solutions being used in routine oncologic diagnostic and surgical procedures.
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                Author and article information

                Contributors
                markus.schosserer@boku.ac.at
                Journal
                GeroScience
                Geroscience
                GeroScience
                Springer International Publishing (Cham )
                2509-2715
                2509-2723
                4 February 2019
                4 February 2019
                April 2020
                : 42
                : 2
                : 377-387
                Affiliations
                [1 ]GRID grid.5173.0, ISNI 0000 0001 2298 5320, Department of Biotechnology, , University of Natural Resources and Life Sciences, Vienna, ; 1190 Vienna, Austria
                [2 ]GRID grid.433918.4, Evercyte GmbH, ; 1190 Vienna, Austria
                [3 ]Christian Doppler Laboratory on Biotechnology of Skin Aging, 1190 Vienna, Austria
                Author information
                http://orcid.org/0000-0003-2025-0739
                Article
                53
                10.1007/s11357-019-00053-7
                7205846
                30715693
                3ede78c9-050b-4eb2-a3d6-09d13c144a4a
                © The Author(s) 2019

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 14 December 2018
                : 17 January 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002428, Austrian Science Fund;
                Award ID: P30623-B26
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003494, Herzfelder'sche Familienstiftung;
                Award ID: P30623-B26
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100006012, Christian Doppler Forschungsgesellschaft;
                Award ID: CD Lab for Biotechnology of Skin Aging
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © American Aging Association 2020

                raman microspectroscopy,cellular senescence,senolytic compounds,skin aging,label-free imaging,biomarker

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