RESEARCHERS HAVE DEVELOPED A NEW METHOD TO RECORD ‘ANALOG MEMORIES’ IN HUMAN CELLS, ALLOWING THEM TO RETRIEVE INFORMATION OF PAST EVENTS, SUCH AS INFLAMMATION, VIA DNA SEQUENCING.
The advancement was made by biological engineers at Massachusetts Institute of Technology (MIT), using the genome-editing system CRISPR. The system consists of a DNA-cutting enzyme called Cas9 and a short RNA strand. The strand guides the enzyme to a specific area of the genome, directing Cas9 where to make its cut.
Although CRISPR is well known for its gene editing capabilities, the MIT team managed to use it for memory storage – the first that can record the duration and intensity of events in human cells. Such memories include events such as inflammation.
To encode the memories, the scientists designed guide strands that recognize the DNA that encodes the very same guide strand. It’s a concept they refer to as “self-targeting guide RNA.”
“Led by this self-targeting guide RNA strand, Cas9 cuts the DNA encoding the guide strand, generating a mutation that becomes a permanent record of the event. That DNA sequence, once mutated, generates a new guide RNA strand that directs Cas9 to the newly mutated DNA, allowing further mutations to accumulate as long as Cas9 is active or the self-targeting guide RNA is expressed,” MIT wrote in a statement.
“By using sensors for specific biological events to regulate Cas9 or self-targeting guide RNA activity, this system enables progressive mutations that accumulate as a function of those biological inputs, thus providing genomically encoded memory,” the statement continues.
The researchers also found that they could engineer cells to detect and record more than one input, by producing multiple self-targeting RNA guide strands in the same cell. Each RNA guide is linked to a specific input and is only produced when that input is present.
The advancement represents the first time that scientists have found a way to record such data in human cells. Although scientists have previously devised ways to record digital information in living cells, such methods only revealed whether the event occurred – not how much exposure there was or how long it lasted.
According to MIT, the new method is most likely to be used for studies of human cells, tissues, or engineered organs.