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In multicellular organisms, cells communicate through paracrine and juxtacrine signaling by exchanging messages with their microenvironment, thereby influencing each other's behavior. This communication can occur either directly, through tunneling nanotubes and gap junctions, or indirectly through the secretion of soluble chemical molecules such as cytokines, growth factors, and chemokines into the extracellular matrix. These signaling mechanisms play essential roles in regulating various physiological processes, including tissue development and immune cell responses, and are also implicated in the pathogenesis of numerous diseases, such as cancer, HIV, hypertension, and Alzheimer's1.
In the 1960s, Leonard Hayflick discovered that normal human fibroblasts have a limited ability to replicate in vitro2. This limited cell proliferation state that develops due to telomerase shortening is called replicative senescence. Subsequent studies revealed that various forms of cellular stress can also trigger cellular senescence. It has been determined that common cancer treatments such as chemotherapy and radiotherapy also induce cellular senescence in both cancer and stromal cells, called therapy-induced senescence3,4. Cellular senescence and aging are hierarchically related processes; they represent distinct biological processes. The accumulation of senescent cells in the organism contributes to aging by promoting inflammation, tissue dysfunction, and the development of age-related diseases. However, aging encompasses a much broader range of systemic events and mechanisms compared to senescence5.
Senescent cells are characterized by their expanded cytoplasm being significantly larger and having a flattened morphology compared to normal cells6. These senescent cells have increased lysosomal activity and are positive for senescence-associated β-galactosidase (SA-β-gal) activity, a lysosomal enzyme that remains active even at acidic pH 6.0. SA-β-gal staining is the most widely used biomarker for detecting senescent cells7. Enlargement and irregular morphology of nuclei are commonly observed in cells undergoing senescence. In addition, these cells are characterized by unique chromatin rearrangements called senescence-associated heterochromatic foci (SAHF) that mediate irreversible cell cycle arrest8,9.
Although senescent cancer cells ultimately lost their ability to proliferate, they remained viable and metabolically active. It is known that senescent cells also secrete various factors to regulate their extracellular tumor microenvironment, called senescence-associated secretory phenotype (SASP)10,11. These SASP factors include soluble signaling factors (interleukins, chemokines, and growth factors), secreted proteases, and secreted insoluble proteins/ extracellular matrix (ECM) components. Collectively, these factors exert detrimental paracrine effects, including promoting cancer cell proliferation, migration, invasion, and the induction of epithelial-to-mesenchymal transition (EMT)4,12. In addition, chemotherapy-induced adverse effects have been partially attributed to the accumulation of senescent cells13. Therefore, investigating the interaction between senescent and non-senescent cells has become an important area of research in the context of cancer therapy. Especially the analysis of SASP factors, particularly their compositions and the effects on the cancer microenvironment, is considered a promising strategy for identifying new target molecules for cancer therapy and discovering new drugs for these molecules.
In vitro co-culture techniques have long been used to study the understanding of cell-to-cell interactions14. In this methodological article, the aim was to evaluate the possible proliferative activity of factors secreted from senescent cells on non-senescent cancer cells using three different methods. Additionally, the results obtained from the three different methods were compared, and each approach's respective advantages and disadvantages were critically evaluated.
First, a co-culture model was set up between senescent HeLa and non-senescent HeLa cells to monitor the possible changes in cancer cell proliferation in real-time using the real-time cell analysis system12. This system consists of two plates to evaluate cell-cell interactions. The e-plate view, which forms the lower layer, has a surface where target cells are seeded, with microelectrodes positioned at the bottom of the plate. The electrical resistance created by the adhesion of target cells to this surface is expressed by the measurable parameter Cell Index (CI). The CI value is proportional to the number of cells and the degree of adhesion to the surface15. In addition, the e-plate view allows morphological examination of cells under a phase contrast microscope. The e-plate insert, which forms the upper layer, is the area where effector cells are seeded. The bottom of this plate is covered with a 0.4 µm pore size semi-permeable membrane. Factors secreted from effector cells can pass through the membrane and affect the target cells in the e-plate view. If this interaction stimulates cell proliferation, this is observed as an increase in the CI value. Thus, interactions between cells can be evaluated quantitatively.
In the second method, conditioned media collected from senescent HeLa cells were concentrated and added to non-senescent HeLa cells. The potential proliferative effect on these cells was monitored using the real-time cell analysis system.
In the third method, it was planned to co-culture the senescent HeLa cells and the non-senescent GFP-HeLa cells directly in 2D and monitor the possible proliferative alterations in cancer cells in real time under a microscope.
The goal of this experiment is to set up three models to study the interaction between senescent HeLa and non-senescent HeLa cells and monitor possible changes in cancer cell proliferation in real time. Thus, the effect of SASP factors secreted by senescent cancer cells on the other cancer cells can be easily investigated. Accordingly, the advantages and limitations of the three approaches were systematically evaluated.