Dataset Information

Titanium Tackles the Endolplasmic Reticulum: A First Genomic Study on a Titanium Anticacner Metallodrug

ABSTRACT: PhenolaTi is novel non-toxic anticancer chemotherapy; this inert bis(phenolato)bis(alkoxo) Ti(IV) complex demonstrates the intriguing combination of high and wide efficacy with no detected toxicity in animals. Here we unravel the cellular pathways involved in its mechanism of action by a first genome study on Ti(IV)-treated cells, using an attuned RNA-Seq-based available technology. First, phenolaTi induced apoptosis and cell-cycle arrest at the G2/M phase in MCF7 cells. Second, the transcriptome of the treated cells was analyzed, identifying alterations in pathways relating to protein translation, DNA damage, mitochondrial eruption, and p53 regulation. Unlike for common metallodrugs, electrophoresis assay showed no inhibition of DNA polymerase activity. Reduced in vitro cytotoxicity with added endoplasmic reticulum (ER) stress inhibitor supported the ER as a putative cellular target. Altogether, this paper reveals a distinct ER-related mechanism by the Ti(IV) anticancer coordination complex, paving the way for wider applicability of related techniques in mechanistic analyses of metallodrugs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE148239 | GEO | 2020/07/07

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Rational: Titanium is the most widely used alloy family in dental and orthopedic implants due to its natural ability to integrate into bone, but cytotoxic alloying elements are required in titanium for its mechanical properties to match the functionality of natural bone in high-load bearing applications. Recent advances in nanostructuring, such as Continuous Equal Channel Angular Pressing (C-ECAP), reduce the grain size and increase the strength of pure grades of titanium, thereby eliminating the need for cytotoxic elements and increasing cytocompatibilty as measured by traditional cell biology techniques. Transcriptomic profiling of cells grown on conventional coarse grain (CG) versus nanostructured ultrafine grain (UG) surfaces can simultaneously enhance our understanding of genomics and biomaterials, facilitating the development of a new generation of implantable materials. Objective: We initiated this pilot project to develop a workflow for transcriptional profiling of both protein coding and non-coding RNAs (ncRNAs) in cells grown on Ti discs that are characterized for grain size, 12.1 μm for CG Ti and 0.28 μm for UG Ti. Methods: Two Ti substrates were designed for cell growth in 24-well culture dishes, CG and UG. Mouse pre-osteoblasts were cultured on Ti disc for 72 hours. Cells were harvested and total-RNA extracted. Ribosomal RNA subtraction was performed prior to Illumina sequencing library construction. Single-end 50 base pairs reads were subjected to Illumina quality control and the resulting reads were mapped to the mouse genome and annotations with Genomic Short-read Nucleotide Alignment Program (GSNAP) and HTseq-count. Read count files were normalized and statistically analyzed with empirical analysis of digital gene expression data in R (EdgeR) and filtered for low expression levels using Zipf’s Power Law. Transcripts with adequate coverage and significant expression differences were subjected to GO Biological Process term enrichment and network analyses with the Cytoscape App ClueGO. Results: Gene expression differences with an FDR≤0.05 are limited to six genes, five of which are likely ncRNAs. Of the 432 transcripts with significant differences at p≤0.05 117 form an interconnected network of genes and 12 GO biological processes (P(adj) ≤ 0.05). Biological processes that connect to predominately upregulated genes include cell division, mRNA metabolic processes, chromatin modification and protein localization to the cytoskeleton, while downregulated processes include regulation of apoptosis, of p38MAK cascade, and response to molecules of bacterial origin. Conclusions: After 72 hours, the transcriptional profile of cells on UG Ti confirms more rapid cell division than on CG. These results demonstrate that informative transcriptional profiling of cells growing on substrates that differ only in their crystallographic structure can be accomplished by a workflow that includes standard cell biology techniques, transcriptomic profiling, data mining, and network analyses.

Dataset Information

Titanium Tackles the Endolplasmic Reticulum: A First Genomic Study on a Titanium Anticacner Metallodrug

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets