Scientists just used CRISPR to encode a GIF into the DNA of a virus

crispr dna movie cell bacteria
crispr dna movie cell bacteria

Is there a movie you love enough to have an image from it tattooed onto your body? Soon you may be able to go one step further and have the entirety of one of its scenes spliced into your DNA. After all, what better way to show your love for pre-Phantom Menace George Lucas than to have the climactic Death Star meridian trench sequence from Star Wars permanently etched into your genetic makeup, courtesy of gene editing tech CRISPR?

A variation of this was achieved recently by Harvard scientists, who have demonstrated how E. coli bacteria is capable of storing images and movies in its DNA.

“We wanted to test whether the CRISPR-Cas system in bacteria could be used to capture complex information with a time component in living bacteria,” Dr. Seth Shipman, a neuroscientist at Harvard who led the experiment, told Digital Trends. “To do that, we encoded images and a movie into DNA and delivered them to cells expressing two proteins from the CRISPR system: Cas1 and Cas2. The reason we care about this is that we want to create living molecular recorders, cells that can capture new information and store that information in their genome, this is a way that we could pilot such a system.”

The movie footage the researchers used isn’t quite the Star Wars: A New Hope climax, but it’s no less an iconic part of cinema history. It’s a 36 x 26-pixel GIF displaying a galloping horse filmed by Eadweard Muybridge in one of the first motion pictures ever shot — way back in 1878. Using DNA sequencing tech, Shipman and colleagues were able to both store the data and then later reassemble it with 90 percent accuracy. Doing this not only showed that DNA is capable of storing the images, but also of doing so in the correct order.

So is there any real-world use for this? “Not quite yet, but hopefully on the near horizon,” Shipman said. “We want to use this technology to create cells that can record biological or environmental signals.” As to what’s next for the project, he noted that the “next step is to hook the input of this system to a biological system, then we might be able to use it to gather information that we don’t currently have.”

A research paper describing the work was published this week in the journal Nature.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s