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1.
Appl Spectrosc ; 72(5): 706-714, 2018 May.
Article in English | MEDLINE | ID: mdl-29350550

ABSTRACT

Primary pancreatic α, ß, δ, and pancreatic polypeptide (PP) cells are reliable cell models for diabetes research. However, the separation and purification of these cells in living conditions remains an obstacle for researchers. The interaction of visible light with cellular molecules can produce Raman scattering, which can be analyzed to obtain cellular intrinsic molecular fingerprints. It has been speculated that primary pancreatic α, ß, δ, and PP cells can be identified and separated from each other according to their spectral differences. To test this hypothesis, Raman spectra detection was performed on rat islet cells. Single islet cells identified by Raman scattering under living conditions were verified using immunohistochemistry. Thus, Raman data were acquired from a pure line of islet cells as a training sample and then used to establish the discriminant function. Then, using the principal component analysis-linear discriminate analysis (PCA-LDA) method, the four types of islet cells could be identified and discriminated by Raman spectroscopy. This study provides a label-free and noninvasive method for discriminating islet cell types in a randomly distributed mixed islet cell population via their physical properties rather than by using antibodies or fluorescence labeling.


Subject(s)
Cell Separation/methods , Islets of Langerhans/cytology , Spectrum Analysis, Raman/methods , Animals , Discriminant Analysis , Islets of Langerhans/chemistry , Principal Component Analysis , Rats , Rats, Sprague-Dawley
2.
Appl Spectrosc ; 71(3): 422-431, 2017 Mar.
Article in English | MEDLINE | ID: mdl-27940997

ABSTRACT

The examination of insulin (Ins) exocytosis at the single-cell level by conventional methods, such as electrophysiological approaches, total internal reflection imaging, and two-photon imaging technology, often requires an invasive microelectrode puncture or label. In this study, high concentrations of glucose and potassium chloride were used to stimulate ß cell Ins exocytosis, while low concentrations of glucose and calcium channel blockers served as the blank and negative control, respectively. Laser tweezers Raman spectroscopy (LTRS) was used to capture the possible Raman scattering signal from a local zone outside of the cell edge. The results show that the frequencies of the strong signals from the local zones outside the cellular edge in the stimulated groups are greater than those of the control. The Raman spectra from the cellular edge, Ins and cell membrane were compared. Thus, local Ins exocytosis activity outside pancreatic ß cells might be observed indirectly using LTRS, a non-invasive optical method.


Subject(s)
Exocytosis/physiology , Insulin-Secreting Cells , Optical Tweezers , Single-Cell Analysis/methods , Spectrum Analysis, Raman/methods , Animals , Cell Line, Tumor , Insulin-Secreting Cells/chemistry , Insulin-Secreting Cells/cytology , Insulin-Secreting Cells/metabolism , Rats
3.
J Biomed Opt ; 20(4): 047001, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25848805

ABSTRACT

As a noninvasive and label-free analytical technique, Raman spectroscopy has been widely used to study the difference between malignant cells and normal cells. Insulinomas are functional ß-cell tumors of pancreatic islet cells. They exhibit many structural and immunohistochemical features in common with normal pancreatic ß cells; thus, they are typically difficult to distinguish under the microscope, especially in vivo. We investigated insulinoma and primary rat pancreatic ß-cell populations using Raman spectroscopy. The details of the optical heterogeneity between these two populations were determined based on different Raman regions primarily involving nucleic acid and protein contents, which are the most distinct cellular contents in these two types of cells. Using principal component analysis­linear discriminant analysis, these two cell types can be readily separated. The results of this work indicate that Raman spectroscopy is a promising tool for the noninvasive and label-free differentiation of insulinoma cells and normal pancreatic ß cells.


Subject(s)
Biomarkers, Tumor/analysis , Insulin-Secreting Cells/chemistry , Insulinoma/chemistry , Insulinoma/diagnosis , Molecular Imaging/methods , Spectrum Analysis, Raman/methods , Animals , Cell Line, Tumor , Diagnosis, Computer-Assisted/methods , Diagnosis, Differential , Pancreatic Neoplasms , Pattern Recognition, Automated/methods , Rats , Rats, Sprague-Dawley , Reproducibility of Results , Sensitivity and Specificity
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