Zogopoulos, V. L., Spaho, K., Ntouka, C., Lappas, G. A., Kyranis, I., Bagos, P., Spandidos D. A., and Michalopoulos, I. (2021). TFBSPred: A functional transcription factor binding site prediction webtool for humans and mice. Int J Epigenetics 1, 9.
Arabidopsis Coexpression Tool: a tool for gene coexpression analysis in Arabidopsis thaliana
Zogopoulos, V.L., Saxami, G., Malatras, A., Angelopoulou, A., Jen, C.H., Duddy, W.J., Daras, G., Hatzopoulos, P., Westhead, D.R., and Michalopoulos, I. (2021). Arabidopsis Coexpression Tool: a tool for gene coexpression analysis in Arabidopsis thaliana. iScience 24, 102848.
Dr Ioannis Michalopoulos in the Editorial Board of Medicine International
Dr Ioannis Michalopoulos is now a member of the Editorial Board of Medicine International
The immunohistochemical profile of basal cell nevus syndrome–associated and sporadic odontogenic keratocysts: a systematic review and meta-analysis
Kalogirou, E.M., Thermos, G., Zogopoulos, V., Foutadakis, S., Michalopoulos, I., Agelopoulos, Μ. and Tosios, Κ.Ι. (2021). The immunohistochemical profile of basal cell nevus syndrome–associated and sporadic odontogenic keratocysts: a systematic review and meta-analysis. Clin Oral Invest 25, 3351–3367.
A Meta-Analysis of the Effects of High-LET Ionizing Radiations in Human Gene Expression
Michalettou, T.D., Michalopoulos, I., Costes, S,V., Hellweg, C.E., Hada, M., and Georgakilas, A.G. (2021). A Meta-Analysis of the Effects of High-LET Ionizing Radiations in Human Gene Expression. Life 11, 115.
Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly
Gavrielatos, M., Kyriakidis, K., Spandidos, D.A., and Michalopoulos, I. (2021). Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly. Mol Med Rep 23, 251.
Special Issue “Differential Gene Expression and Coexpression”
Dr Ioannis Michalopoulos and Dr Apostolos Malatras are Editors of Special Issue “Differential Gene Expression and Coexpression” of Biology (Impact Factor 5.079, JCR category rank: Q1: Biology). Deadline for manuscript submissions: 31 December 2022.
The most common approach in transcriptomics (RNA-seq and microarrays) is differential gene expression analysis. Genes identified as differentially expressed may be responsible for phenotype differences between various biological conditions. An alternative approach is gene co-expression analysis, which detects groups of genes with similar expression patterns across unrelated sets of transcriptomic data of the same organism. Co-expressed genes tend to be involved in similar biological processes. This Special Issue will include reviews and research articles on the topic differential gene expression and coexpression. The reviews will provide an overview of the methods available for transcriptomic analysis, while the research articles will provide an in-depth description of each state-of-the-art tool. Please send me an abstract prior to submission to make sure that your work falls within the scope of this Special Issue.
MyoMiner: explore gene co-expression in normal and pathological muscle
Malatras, A., Michalopoulos, I., Duguez, S., Butler-Browne, G., Spuler, S., and Duddy, W. J. (2020). MyoMiner: explore gene co-expression in normal and pathological muscle. BMC Med Genomics 13, 67.
Effects of High-Dose Ionizing Radiation in Human Gene Expression: A Meta-Analysis
Kanakoglou, D.S., Michalettou, T.D., Vasileiou, C., Gioukakis, E., Maneta, D., Kyriakidis, K.V., Georgakilas, A.G., and Michalopoulos, I. (2020). Effects of High-Dose Ionizing Radiation in Human Gene Expression: A Meta-Analysis. Int J Mol Sci 21, 1938.
The relationship between environmental factors and different Parkinson’s disease subtypes in Greece: Data analysis of the Hellenic Biobank of Parkinson’s disease
Angelopoulou, E., Bozi, M., Simitsi, A.M., Koros, C., Antonelou, R., Papagiannakis, N., Maniati, M., Poula, D., Stamelou, M., Vassilatis, D.K., Michalopoulos, I., Geronikolou, S., Scarmeas, N., and Stefanis, L. (2019). The relationship between environmental factors and different Parkinson’s disease subtypes in Greece: Data analysis of the Hellenic Biobank of Parkinson’s disease. Parkinsonism Relat Disord 67, 105–112.