Researchers from North Carolina State College and Johns Hopkins College have demonstrated a know-how able to a set of knowledge storage and computing features—repeatedly storing, retrieving, computing, erasing or rewriting information—that makes use of DNA fairly than typical electronics. Earlier DNA information storage and computing applied sciences might full some however not all of those duties.
The paper, titled “A Primordial DNA Store and Compute Engine,” seems within the journal Nature Nanotechnology.
“In conventional computing technologies, we take for granted that the ways data are stored and the way data are processed are compatible with each other,” says undertaking chief Albert Keung, co-corresponding writer of a paper on the work.
“But in reality, data storage and data processing are done in separate parts of the computer, and modern computers are a network of complex technologies.” Keung is an affiliate professor of chemical and biomolecular engineering and a Goodnight Distinguished Scholar at NC State.
“DNA computing has been grappling with the challenge of how to store, retrieve and compute when the data is being stored in the form of nucleic acids,” Keung says.
“For digital computing, the truth that all of a tool’s elements are suitable is one motive these applied sciences are enticing. However, thus far, it has been thought that whereas DNA information storage could also be helpful for long-term information storage, it might be troublesome or not possible to develop a DNA know-how that encompassed the total vary of operations present in conventional digital gadgets: storing and shifting information; the power to learn, erase, rewrite, reload or compute particular information recordsdata; and doing all of these items in programmable and repeatable methods.
“We’ve demonstrated that these DNA-based technologies are viable, because we’ve made one.”
The brand new know-how is made potential by current methods which have enabled the creation of sentimental polymer supplies which have distinctive morphologies.
“Specifically, we have created polymer structures that we call dendricolloids—they start at the microscale, but branch off from each other in a hierarchical way to create a network of nanoscale fibers,” says Orlin Velev, co-corresponding writer and the S. Frank and Doris Culberson Distinguished Professor of Chemical and Biomolecular Engineering at NC State.
“This morphology creates a structure with a high surface area, which allows us to deposit DNA among the nanofibrils without sacrificing the data density that makes DNA attractive for data storage in the first place.”
“You could put a thousand laptops’ worth of data into DNA-based storage that’s the same size as a pencil eraser,” Keung says.
“The ability to distinguish DNA information from the nanofibers it’s stored on allows us to perform many of the same functions you can do with electronic devices,” says Kevin Lin, first writer of the paper and a former Ph.D. pupil at NC State.
“We can copy DNA information directly from the material’s surface without harming the DNA. We can also erase targeted pieces of DNA and then rewrite to the same surface, like deleting and rewriting information stored on the hard drive. It essentially allows us to conduct the full range of DNA data storage and computing functions. In addition, we found that when we deposit DNA on the dendricolloid material, the material helps to preserve the DNA.”
“You could say that Keung’s team is providing the equivalent of microcircuits, and the dendricolloidal material that my team creates provides the circuit board,” says Velev.
“Our NC State collaborator Adriana San Miguel helped us incorporate the materials into microfluidic channels that direct the flow of nucleic acids and reagents, allowing us to move data and initiate computing commands. Winston Timp’s lab at Johns Hopkins contributed their expertise on nanopore sequencing, which helps us directly read the data in RNA after copying it from DNA on the material’s surface. And James Tuck’s lab—also here at NC State—has developed algorithms that allow us to convert data into nucleic acid sequences and vice versa while controlling for potential errors.”
The researchers have demonstrated that the brand new information storage and computing know-how—which they name a “primordial DNA store and compute engine”—is able to fixing easy sudoku and chess issues. Testing means that it might retailer information securely for 1000’s of years in commercially obtainable areas with out degrading the information-storing DNA.
“What’s more, the dendrocolloidal host material itself is relatively inexpensive and easy to fabricate,” Velev says.
“There’s a lot of excitement about molecular data storage and computation, but there have been significant questions about how practical the field may be,” says Keung. “We looked back at the history of computing and how the creation of ENIAC inspired the field. We wanted to develop something that would inspire the field of molecular computing. And we hope what we’ve done here is a step in that direction.”
The paper was co-authored by Kevin Volkel and Andrew Clark, former Ph.D. college students at NC State; Cyrus Cao and Rachel Polak, Ph.D. college students at NC State; Adriana San Miguel, an affiliate professor of chemical and biomolecular engineering at NC State; James Tuck, a professor {of electrical} and laptop engineering at NC State; Winston Timp, an affiliate professor of biomedical engineering at Johns Hopkins College; and Paul Hook, a postdoctoral researcher at Johns Hopkins.
Extra info:
A Primordial DNA Retailer and Compute Engine, Nature Nanotechnology (2024). DOI: 10.1038/s41565-024-01771-6. www.nature.com/articles/s41565-024-01771-6
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