Gray-level co-occurrence matrix analysis of chromatin architecture in periportal and perivenous hepatocytes
- 45 Downloads
Periportal hepatocytes (PPHs) and perivenous hepatocytes (PVHs) in standard optical microscopy appear to be morphologically identical. However, the functional properties of these two cell populations and their roles in liver lobules are not the same. Despite significant differences in gene expression between these two hepatocyte populations, it is still unclear whether the differences are present at the higher levels of chromatin organization. In this study, we present results, indicating that periportal and perivenous hepatocytes, when stained using toluidine blue histological dye, have different chromatin textural patterns quantified with gray-level co-occurrence matrix (GLCM) method. Hepatic tissue was obtained from ten male, healthy mice. Chromatin structures were analyzed using GLCM. For each structure, we measured the values of angular second moment, inverse difference moment, GLCM Contrast, GLCM Variance, and GLCM Sum Variance. The results indicate that there is a statistically significant difference in all GLCM mathematical parameters except the contrast. In addition, some chromatin GLCM features were in correlation with serum aminotransferase levels in perivenous, but not in periportal hepatocytes. To the best of our knowledge, this is the first study to test the nuclear morphological differences between hepatocytes using GLCM and to investigate the respective relation with serum liver enzymes.
KeywordsOptical imaging Macromolecule Molecular biology Chromatin Texture
The authors are grateful to the project 92018 of the Mediterranean Society for Metabolic Syndrome, Diabetes and Hypertension in Pregnancy DEGU (Dr. Igor Pantic, principal author of this manuscript, is the Head of the project), as well as to the projects of the Ministry of Education and Science, Republic of Serbia (projects 175015, 175059, and 41027). Prof. Igor Pantic is also grateful to NSF Center for Advanced Knowledge Enablement, Miami, FL, USA (I. Pantic is an external research associate). The authors are also grateful to Tatijana Paunovic, MA from University of Craiova, for her valuable help for English translation and writing of manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Beletti ME, Mello ML (2004) Comparison between the toluidine blue stain and the Feulgen reaction for evaluation of rabbit sperm chromatin condensation and their relationship with sperm morphology. Theriogenology 62(3–4):398–402. https://doi.org/10.1016/j.theriogenology.2003.10.016 CrossRefGoogle Scholar
- Biesterfeld S, Beckers S, Del Carmen Villa Cadenas M, Schramm M (2011) Feulgen staining remains the gold standard for precise DNA image cytometry. Anticancer Res 31(1):53–58Google Scholar
- Bumbaširević V, Lačković V, Milićević NM, Milićević Ž, Mujović S, Obradović M, Pantić S, Stefanović B, Trpinac D (2007) Histologija. Medicinski fakultet Beograd, BelgradeGoogle Scholar
- Carpenter AE, Jones TR, Lamprecht MR, Clarke C, Kang IH, Friman O, Guertin DA, Chang JH, Lindquist RA, Moffat J, Golland P, Sabatini DM (2006) CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol 7(10):R100. https://doi.org/10.1186/gb-2006-7-10-r100 CrossRefGoogle Scholar
- Colnot S, Perret C (2011) Liver zonation. In: Monga S (ed) Molecular pathology of liver diseases. molecular pathology library, vol 5. Springer, BostonGoogle Scholar
- Joseph GB, Baum T, Carballido-Gamio J, Nardo L, Virayavanich W, Alizai H, Lynch JA, McCulloch CE, Majumdar S, Link TM (2011) Texture analysis of cartilage T2 maps: individuals with risk factors for OA have higher and more heterogeneous knee cartilage MR T2 compared to normal controls–data from the osteoarthritis initiative. Arthritis Res Ther 13(5):R153. https://doi.org/10.1186/ar3469 CrossRefGoogle Scholar
- Kamentsky L, Jones TR, Fraser A, Bray MA, Logan DJ, Madden KL, Ljosa V, Rueden C, Eliceiri KW, Carpenter AE (2011) Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software. Bioinformatics 27(8):1179–1180. https://doi.org/10.1093/bioinformatics/btr095 CrossRefGoogle Scholar
- Lilli RD (1965) Histopathologic technic and practical histochemistry. Mcgraw-Hill Book Company, New YorkGoogle Scholar
- Nedelec JF, Yu O, Chambron J, Macher JP (2004) Texture analysis of the brain: from animal models to human applications. Dialogues Clin Neurosci 6(2):227–233Google Scholar
- Pantic I, Dacic S, Brkic P, Lavrnja I, Pantic S, Jovanovic T, Pekovic S (2014) Application of fractal and grey level co-occurrence matrix analysis in evaluation of brain corpus callosum and cingulum architecture. Microsc Microanal 20(5):1373–1381. https://doi.org/10.1017/S1431927614012811 CrossRefGoogle Scholar
- Torre C, Perret C, Colnot S (2010) Molecular determinants of liver zonation. Prog Mol Biol Transl Sci 97:127–150. https://doi.org/10.1016/B978-0-12-385233-5.00005-2 CrossRefGoogle Scholar