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Biology subjects

Bosia, C.

Publications and source records attributed to Bosia, C..

3 recordsLinked to original sources

The advantage of periodic over constant signalling in microRNA-mediated repression

Cells have been found out to exploit oscillatory rather than constant gene expression to encode biological information. Temporal features of oscillations such as pulse frequency and amplitude have been shown determinant for the outcome of signaling pathways. However, little effort has been devoted to unveiling the role of pulsatility in the context of post-transcriptional gene regulation, where microRNAs (miRNAs) - repressors of gene expression - act by binding to RNAs. Here we study the effects of periodic against constant miRNA synthesis. We model periodic pulses of miRNA synthesis in a minimal miRNA-target RNA network by ODEs, and we compare the RNA repression to that resulting from constant synthesis of the repressor. We find that a pulsatile synthesis can induce more effective target RNA repression in the same timespan, despite an identical amount of repressor. In particular, a stronger fold repression is induced if the miRNA is synthesized at optimal frequencies, thereby showing a frequency preference behaviour - also known as "band-pass filtering". Moreover, we show that the preference for specific input frequencies is determined by relative miRNA and target kinetic rates, thereby highlighting a potential mechanism of selective target regulation. Such ability to differentially regulate distinct targets might represent a functional advantage in post-transcriptional repression, where multiple competing targets are regulated by the same miRNA. Thereby analyzing a model with two RNA target species, we show how competition influences the frequency-dependent RNA repression. Eventually, we find that periodic miRNA expression can lead to exclusive frequency-dependent repression on distinct RNA species, and we show how this depends on their relative kinetics of interaction with the repressor. Our findings might have implications for experimental studies aimed at understanding how periodic patterns drive biological responses through miRNA-mediated signalling, and provide suggestions for validation in a synthetic miRNA-target network.

biophysics↗

Mammalian cell characterisation by non-invasive plate reader assay

Automated and non-invasive mammalian cell analysis is currently lagging behind due to a lack of methods suitable for a variety of cell lines and applications. Here, we report the development of a high throughput non-invasive method for tracking mammalian cell growth and performance based on plate reader measurements. We show the method to be suitable for both suspension and adhesion cell lines, and we demonstrate it can be adopted when cells are grown under different environmental conditions. We establish that the method can inform on effective drug treatment to be used depending on the cell line considered, and that it can support characterisation of engineered mammalian cells over time. This work provides the scientific community with a novel approach to mammalian cell screening, also contributing to the current efforts towards high throughput and automated mammalian cell engineering.

synthetic biology↗

Networks of enhancers and microRNAs drive variation in cell states

Cell-to-cell variation in gene expression is a common feature of developmental processes. Yet, it remains unclear whether molecular mediators can generate variation and how this process is coordinated across loci to allow the emergence of new cell states. Using embryonic stem cells (ESCs) as a model of development, we found interconverting cell states that resemble developmental expression programs and vary in activity at specific enhancers, such as those regulating pluripotency genes Nanog and Sox2 but not Pou5f1 (Oct4). Variable enhancers drive expression of variable genes, including those encoding microRNAs (miRNAs). Notably, variable miRNAs increase cell-to-cell variation by acting on neighborhoods of pluripotency genes. The encoded, variable pluripotency factors bind variable enhancers, forming a feedback loop that amplifies variation and allows the emergence of new cell states. These findings suggest gene regulatory networks composed of enhancers, protein-coding genes, and miRNAs harness inherent variation into developmental outcomes.

cell biology↗