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Biomedical subjects

Cristian Taccioli

Publications and source records attributed to Cristian Taccioli.

2 recordsLinked to original sources

MicroRNAs and predicted targets in the switch from monolayered to spheroids of cholangiocarcinoma cells.

BACKGROUND: Extrahepatic cholangiocarcinoma (eCCA) is characterized by marked molecular heterogeneity and limited therapeutic options. MicroRNAs (miRNAs) are key post-transcriptional regulators of cancer-related pathways, but their contribution to tumor adaptation in physiologically relevant models remains poorly understood. Three-dimensional (3D) tumor spheroids better mimic in vivo conditions than conventional two-dimensional (2D) cultures. METHODS: We compared miRNA expression profiles in two eCCA cell lines (Sk-ChA-1 and Mz-ChA-1) grown as monolayers (2D) or multicellular tumor spheroids (3D). MiRNA profiling was performed using NanoString technology. Predicted targets were analyzed by over-representation analysis, and selected miRNAs and genes were validated by RT-qPCR and ELISA-based assays. RESULTS: 3D growth induced extensive miRNA remodeling, with distinct (54 deregulated in Sk-ChA-1 and 29 in Mz-ChA-1 cells) and partially overlapping signatures (miR-1283, miR-577, and miR-2113). Among the shared miRNAs, predicted targets included DUSP10 and RBFOX1, while in spheroids, cell-specific multiple miRNAs converged on shared targets (TNRC6B, SMARCAD1, ATG14, HMGA2, and CLOCK) displaying inverse expression patterns. The transcriptional program impacted MAPK signaling, enhanced EMT, and activated stress-adaptive networks but attenuated proliferation in 3D Sk-ChA-1 cells, while Mz-ChA-1 cells retained a more epithelial and proliferative profile. In this context, we point out the involvement of miR-19b-3p using anti-miR transfection experiments. CONCLUSION: Our findings reveal a miRNA-driven regulatory landscape associated with 3D growth in eCCA, linking tumor architecture to signaling rewiring and cellular plasticity, and highlight potentially druggable candidate targets and pathways to investigate as candidates using inhibitors or gene therapy-based interventions.

Humans

GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life.

Evolutionary studies require extensive examination of genomic information across all domains of life. Despite the availability of a large number of genomes through GenBank, the effective visualization or comparison of the information they contain is challenging due to many reasons, including their size. We introduce genome-based retrieval and analysis parser, a comprehensive software tool to analyze genome files, and an online database housing an extensive collection of carefully curated, high-quality genome statistics for all the organisms available in the RefSeq database of National Center for Biotechnology Information. Users can either directly search, or select from precategorized groups, the organisms of their choice and retrieve data, and the output is generated as tables containing more than 200 columns of useful genomic information (base counts, GC content, Shannon entropy, codon usage, etc.) separately calculated for different genomic elements (e.g. coding sequences, introns, transfer RNA, ribosomal RNA, noncoding RNA, etc.). The data are independently displayed (if applicable) for each chromosomal, mitochondrial, plastid, or plasmid sequence. All the data can be visualized on the database or downloaded as comma-separated value or Excel files. The genome-based retrieval and analysis parser database is free to access without any registration and is publicly available at http://tacclab.org/gbrap/.

Software