Human Blood Extracellular Vesicles Activate Transcription of NF-kB-Dependent Genes in A549 Lung Adenocarcinoma Cells.
Yulya I SavinovskayaAnna A NushtaevaAnna V SavelyevaVitaliy V MorozovElena I RyabchikovaElena Vladimirovna KuliginaVladimir A RichterDmitriy V SemenovPublished in: Current issues in molecular biology (2022)
Extracellular vesicles (EVs) produced by various cell types are heterogeneous in size and composition. Changes in the RNA sets of EVs in biological fluids are considered the basis for the development of new approaches to minimally invasive diagnostics and the therapy of human diseases. In this study, EVs were obtained from the blood of healthy donors by centrifugation, followed by ultracentrifugation. It was shown that EVs consist of several populations including small exosome-like vesicles and larger microvesicle-like particles. The composition of EVs' RNAs was determined. A549 lung adenocarcinoma cells were incubated with EV and the NGS analysis of differentially expressed genes was performed. During the incubation of A549 cells with EVs, the levels of mRNA encoding components for the NF-kB signaling pathway increased, as well as the expression of genes controlled by the NF-kB transcription factor. Overall, our results suggest that components of EVs trigger the NF-kB signaling cascade in A549 cells, leading to the transcription of genes including cytokines, adhesion molecules, cell cycle regulators, and cell survival factors. Our data provide insight into the interaction between blood EVs and human cells and can be used for designing new tools for the diagnosis and treatment of human diseases.
Keyphrases
- signaling pathway
- induced apoptosis
- cell cycle arrest
- pi k akt
- transcription factor
- cell cycle
- endothelial cells
- oxidative stress
- genome wide
- endoplasmic reticulum stress
- nuclear factor
- cell proliferation
- poor prognosis
- epithelial mesenchymal transition
- induced pluripotent stem cells
- genome wide identification
- escherichia coli
- stem cells
- cell death
- deep learning
- single cell
- dna methylation
- bone marrow
- cystic fibrosis
- staphylococcus aureus
- bioinformatics analysis
- toll like receptor
- inflammatory response
- binding protein
- biofilm formation
- genome wide analysis