Genes aren’t the only driver instructing cells to construct multicellular buildings, tissues, and organs. In a brand new paper revealed in Nature Communications, USC Stem Cell scientist Leonardo Morsut and Caltech computational biologist Matt Thomson characterize the affect of one other necessary developmental driver: cell density, or how loosely or tightly cells are packed right into a given area. In each computational fashions and laboratory experiments, the crew of scientists used cell density as an efficient device for controlling how mouse cells sample themselves into complicated buildings.
This paper represents progress in direction of our large image objective of engineering artificial tissues. Artificial tissues may have limitless medical purposes, starting from testing potential medicine or therapies to offering grafts or transplants for sufferers.”
Leonardo Morsut, assistant professor of stem cell biology and regenerative drugs, and biomedical engineering, Keck Faculty of Medication of USC
The examine used two forms of mouse cells-;connective tissue cells and stem cells-;engineered to hold an artificial mobile communication system or “genetic circuit.” This circuit is predicated on one thing Morsut developed known as “synNotch,” which is a protein that scientists genetically engineer right into a cell to function a “sensor.” Situated on a cell’s floor, this protein-based sensor acknowledges an exterior sign that triggers the cell to respond-;often by turning on a user-defined gene.
For this specific collection of experiments, the scientists used synNotch to activate a circuit that features inexperienced fluorescence and a option to propagate the sign further-;though it might be used to activate any gene. The fluorescence made it simple to look at cells as they shaped patterns. For instance, in a discipline of cells, the scientists may create a sample of inexperienced fluorescent rings emanating from a central level.
Sudden discovery
Whereas conducting these experiments, co-first creator Marco Santorelli, a postdoc within the Morsut Lab, observed that genetically similar cells didn’t at all times produce the identical patterns.
“We might see completely different outcomes of the patterning after we would begin with genetically similar cells in numerous numbers,” mentioned Morsut. “In order that was puzzling originally. I bear in mind Marco got here in and instructed me as soon as that the experiment labored, however solely in half of the plate. And after we checked out it extra rigorously, we began seeing that there was a gradient of cell density that appeared to correlate with variations in patterning.”
Above a sure cell density, synNotch exerted a weaker impact and did not produce the identical patterns. Additional complicating issues, cell density consistently shifted as cells proliferated at ever altering rates-;interacting in complicated methods with the synNotch genetic circuit.
Does it compute?
Co-first creator Pranav S. Bhamidipati, a candidate within the USC-Caltech MD-PhD program who was a member of each the Morsut and Thomson labs, grew to become enthusiastic about constructing a computational mannequin that would predict and make clear this complicated and dynamic cell habits.
“For me, this was one of many first instances in my life the place computational modeling has been capable of predict behaviors that seem like what really occurs within the cells,” mentioned Thomson, who’s an assistant professor of computational biology at Caltech and an investigator with the Heritage Medical Analysis Institute. “Right here, it helped information us to consider how the cell density, proliferation fee, signaling, and all these various things conspire.”
Morsut added: “We had been completely satisfied that we had the computational mannequin to actually discover and get a way of what are the doable completely different patterns, and learn how to transfer from one to a different.”
Guided by the computational mannequin, the scientists had been in a position to make use of cell density to generate quite a lot of predictable fluorescent patterns that developed over particular timeframes.
It is okay be a bit dense
To know how cell density was exerting these results, co-first creator Josquin Courte, a postdoc within the Morsut Lab, performed a collection of experiments that yielded a stunning discovery. Higher cell density induces stress that results in a faster breakdown of not solely synNotch particularly, but in addition cell floor sensors normally.
Which means cell density is a broadly relevant device for guiding each engineered and naturally occurring cells to construct an unlimited array of buildings, tissues, and organs.
“Nature has relied on cell density along side genetic circuits to generate the outstanding range of multicellular buildings, tissues, and organs,” mentioned Morsut. “Now we are able to co-opt this identical technique to advance our efforts to construct artificial multicellular structures-;and ultimately tissues and organs-;for regenerative drugs.”
In regards to the examine
Extra co-authors are: Benjamin Swedlund, Naisargee Jain, Kyle Poon, Victoria A. MacKrell, Trusha Sondkar, and Giorgia Quadrato from USC; Dominik Schildknecht from Caltech; Andriu Kavanagh from USC and California State College, Northridge; and Mattias Malaguti and Sally Lowell from the College of Edinburgh.
This work was federally funded by the Nationwide Institute of Common Medication (grant R35 GM138256) and the Nationwide Science Basis (grants CBET-2034495 and CBET-2145528). Extra help got here from the Human Frontier Science Program (HFSP) Group (grant LT000469/2019-L), the California Institute for Regenerative Medication, the Belgian American Instructional Basis (BAEF), the Chan Zuckerberg Initiative (grant 2023-332386), the Silicon Valley Group Basis, the Heritage Medical Analysis Institute, the David and Lucile Packard Basis, the Wellcome Belief (grant 220298), and a College of Edinburgh Faculty of Organic Sciences new workers start-up award.
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Journal reference:
Santorelli, M., et al. (2024). Management of spatio-temporal patterning by way of cell progress in a multicellular artificial gene circuit. Nature Communications. doi.org/10.1038/s41467-024-53078-8.