This “Absolutely Tireless” Researcher Made an Important Breakthrough for Cancer Patients
After months of looking at dead cells under a microscope, Theo Roth finally glimpsed what he had been hoping to see—flickers of green. His method was working.
"If we can go into the cell and add in new code and instructions, now we can give it whatever new functions we want."
When Roth joined the laboratory of Alex Marson at the University of California, San Francisco in June 2016, he set to work trying to figure out a new way to engineer human T cells, a type of white blood cell that's an important part of the immune system. If he succeeded, the resulting approach could make it easier and faster for scientists to develop and test cell and gene therapies, new treatments that involve genetically reprogramming the body's own cells.
For decades, researchers have been using engineered viruses to bestow human cells with new genetic characteristics. These so-called viral vectors "infect" human cells, transferring whatever new genetic material scientists put into them. The idea is that this new DNA could give T cells a boost to better fight diseases like cancer and HIV.
Several successful clinical trials have used virally-modified human T cells, and in fact, the U.S. Food and Drug Administration last year approved two such groundbreaking cancer gene therapies, Kymriah and Yescarta. But the process of genetically manipulating cells with viruses is expensive and time-consuming. In addition, viruses tend to randomly insert DNA with little predictability.
"What Theo wanted to do was to paste in big sequences of DNA at a targeted site without viruses," says Marson, an associate professor of microbiology and immunology. "That would have the benefit of being able to rewrite a specific site in the genome and do it flexibly and quickly without having to make a new virus for every site you want to manipulate."
Scientists have for a while been interested in non-viral engineering methods, but T cells are fragile and notoriously difficult to work with.
Previously, Marson's lab had collaborated with CRISPR pioneer Jennifer Doudna and her team at the University of California, Berkeley to use an electrical pulse together with CRISPR components to knock out certain genes. They also found some success with inserting very small pieces of DNA into a targeted site.
But Roth, a 27-year-old graduate student at UCSF pursuing MD and PhD degrees, was determined to figure out how to paste in much bigger sequences of genetic information. Marson says it was an "ambitious" goal. Scientists had tried before, but found that stuffing large chunks of DNA into T cells would quickly kill them.
"If we can go into the cell and add in new code and instructions, now we can give it whatever new functions we want," Roth says. "If you can add in new DNA sequences at the site that you want, then you have a much greater capacity to generate a cell that's going to be therapeutic or curative for a disease."
"He has already made his mark on the field."
So Roth began experimenting with hundreds of different variables a week, trying to find the right conditions to allow him to engineer T cells without the need for viruses. To know if the technique was working, Roth and his colleagues used a green fluorescent protein that would be expressed in cells that had successfully been modified.
"We went from having a lot of dead cells that didn't have any green to having maybe 1 percent of them being green," Roth says. "At that stage we got really excited."
After nearly a year of testing, he and collaborators found a combination of T cell ratios and DNA quantity mixed with CRISPR and zaps of electricity that seemed to work. These electrical pulses, called electroporation, deliver a jolt to cells that makes their membranes temporarily more permeable, allowing the CRISPR system to slip through. Once inside cells, CRISPR seeks out a specific place in the genome and makes a programmed, precise edit.
Roth and his colleagues used the approach to repair a genetic defect in T cells taken from children with a rare autoimmune disease and also to supercharge T cells so that they'd seek out and selectively kill human cancer cells while leaving healthy cells intact. In mice transplanted with human melanoma tissue, the edited T cells went to straight to the cancerous cells and attacked them. The findings were published in Nature in July.
Marson and Roth think even a relatively small number of modified T cells could be effective at treating some cancers, infections, and autoimmune diseases.
Roth is now working with the Parker Institute for Cancer Immunotherapy in San Francisco to engineer cells to treat a variety of cancers and hopefully commercialize his technique. Fred Ramsdell, vice president at the Parker Institute, says he's impressed by Roth's work. "He has already made his mark on the field."
Right now, there's a huge manufacturing backlog for viruses. If researchers want to start a clinical trial to test a new gene or cell therapy, they often have to wait a year to get the viruses they need.
"I think the biggest immediate impact is that it will lower the cost of a starting an early phase clinical trial."
Ramsdell says what Roth's findings allow researchers to do is engineer T cells quickly and more efficiently, cutting the time it takes to make them from several months to just a few weeks. That will allow researchers to develop and test several potential therapies in the lab at once.
"I think the biggest immediate impact is that it will lower the cost of a starting an early phase clinical trial," Roth says.
This isn't the first time Roth's work has been in the spotlight. As an undergraduate at Stanford University, he made significant contributions to traumatic brain injury research by developing a mouse model for observing the brain's cellular response to a concussion. He started the research, which was also published in Nature, the summer before entering college while he was an intern in Dorian McGavern's lab at the National Institutes of Health.
When Roth entered UCSF as a graduate student, his scientific interests shifted.
"It's definitely a big leap" from concussion research, says McGavern, who still keeps in touch with Roth. But he says he's not surprised about Roth's path. "He's absolutely tireless when it comes to the pursuit of science."
Roth says he's optimistic about the potential for gene and cell therapies to cure patients. "I want to try to figure out what one of the next therapies we should put into patients should be."
DNA- and RNA-based electronic implants may revolutionize healthcare
Implantable electronic devices can significantly improve patients’ quality of life. A pacemaker can encourage the heart to beat more regularly. A neural implant, usually placed at the back of the skull, can help brain function and encourage higher neural activity. Current research on neural implants finds them helpful to patients with Parkinson’s disease, vision loss, hearing loss, and other nerve damage problems. Several of these implants, such as Elon Musk’s Neuralink, have already been approved by the FDA for human use.
Yet, pacemakers, neural implants, and other such electronic devices are not without problems. They require constant electricity, limited through batteries that need replacements. They also cause scarring. “The problem with doing this with electronics is that scar tissue forms,” explains Kate Adamala, an assistant professor of cell biology at the University of Minnesota Twin Cities. “Anytime you have something hard interacting with something soft [like muscle, skin, or tissue], the soft thing will scar. That's why there are no long-term neural implants right now.” To overcome these challenges, scientists are turning to biocomputing processes that use organic materials like DNA and RNA. Other promised benefits include “diagnostics and possibly therapeutic action, operating as nanorobots in living organisms,” writes Evgeny Katz, a professor of bioelectronics at Clarkson University, in his book DNA- And RNA-Based Computing Systems.
While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output.
Adamala’s research focuses on developing such biocomputing systems using DNA, RNA, proteins, and lipids. Using these molecules in the biocomputing systems allows the latter to be biocompatible with the human body, resulting in a natural healing process. In a recent Nature Communications study, Adamala and her team created a new biocomputing platform called TRUMPET (Transcriptional RNA Universal Multi-Purpose GatE PlaTform) which acts like a DNA-powered computer chip. “These biological systems can heal if you design them correctly,” adds Adamala. “So you can imagine a computer that will eventually heal itself.”
The basics of biocomputing
Biocomputing and regular computing have many similarities. Like regular computing, biocomputing works by running information through a series of gates, usually logic gates. A logic gate works as a fork in the road for an electronic circuit. The input will travel one way or another, giving two different outputs. An example logic gate is the AND gate, which has two inputs (A and B) and two different results. If both A and B are 1, the AND gate output will be 1. If only A is 1 and B is 0, the output will be 0 and vice versa. If both A and B are 0, the result will be 0. While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output. In this case, the DNA enters the logic gate as a single or double strand.
If the DNA is double-stranded, the system “digests” the DNA or destroys it, which results in non-fluorescence or “0” output. Conversely, if the DNA is single-stranded, it won’t be digested and instead will be copied by several enzymes in the biocomputing system, resulting in fluorescent RNA or a “1” output. And the output for this type of binary system can be expanded beyond fluorescence or not. For example, a “1” output might be the production of the enzyme insulin, while a “0” may be that no insulin is produced. “This kind of synergy between biology and computation is the essence of biocomputing,” says Stephanie Forrest, a professor and the director of the Biodesign Center for Biocomputing, Security and Society at Arizona State University.
Biocomputing circles are made of DNA, RNA, proteins and even bacteria.
Evgeny Katz
The TRUMPET’s promise
Depending on whether the biocomputing system is placed directly inside a cell within the human body, or run in a test-tube, different environmental factors play a role. When an output is produced inside a cell, the cell's natural processes can amplify this output (for example, a specific protein or DNA strand), creating a solid signal. However, these cells can also be very leaky. “You want the cells to do the thing you ask them to do before they finish whatever their businesses, which is to grow, replicate, metabolize,” Adamala explains. “However, often the gate may be triggered without the right inputs, creating a false positive signal. So that's why natural logic gates are often leaky." While biocomputing outside a cell in a test tube can allow for tighter control over the logic gates, the outputs or signals cannot be amplified by a cell and are less potent.
TRUMPET, which is smaller than a cell, taps into both cellular and non-cellular biocomputing benefits. “At its core, it is a nonliving logic gate system,” Adamala states, “It's a DNA-based logic gate system. But because we use enzymes, and the readout is enzymatic [where an enzyme replicates the fluorescent RNA], we end up with signal amplification." This readout means that the output from the TRUMPET system, a fluorescent RNA strand, can be replicated by nearby enzymes in the platform, making the light signal stronger. "So it combines the best of both worlds,” Adamala adds.
These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body.
The TRUMPET biocomputing process is relatively straightforward. “If the DNA [input] shows up as single-stranded, it will not be digested [by the logic gate], and you get this nice fluorescent output as the RNA is made from the single-stranded DNA, and that's a 1,” Adamala explains. "And if the DNA input is double-stranded, it gets digested by the enzymes in the logic gate, and there is no RNA created from the DNA, so there is no fluorescence, and the output is 0." On the story's leading image above, if the tube is "lit" with a purple color, that is a binary 1 signal for computing. If it's "off" it is a 0.
While still in research, TRUMPET and other biocomputing systems promise significant benefits to personalized healthcare and medicine. These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body. The study’s lead author and graduate student Judee Sharon is already beginning to research TRUMPET's ability for earlier cancer diagnoses. Because the inputs for TRUMPET are single or double-stranded DNA, any mutated or cancerous DNA could theoretically be detected from the platform through the biocomputing process. Theoretically, devices like TRUMPET could be used to detect cancer and other diseases earlier.
Adamala sees TRUMPET not only as a detection system but also as a potential cancer drug delivery system. “Ideally, you would like the drug only to turn on when it senses the presence of a cancer cell. And that's how we use the logic gates, which work in response to inputs like cancerous DNA. Then the output can be the production of a small molecule or the release of a small molecule that can then go and kill what needs killing, in this case, a cancer cell. So we would like to develop applications that use this technology to control the logic gate response of a drug’s delivery to a cell.”
Although platforms like TRUMPET are making progress, a lot more work must be done before they can be used commercially. “The process of translating mechanisms and architecture from biology to computing and vice versa is still an art rather than a science,” says Forrest. “It requires deep computer science and biology knowledge,” she adds. “Some people have compared interdisciplinary science to fusion restaurants—not all combinations are successful, but when they are, the results are remarkable.”
In today’s podcast episode, Leaps.org Deputy Editor Lina Zeldovich speaks about the health and ecological benefits of farming crickets for human consumption with Bicky Nguyen, who joins Lina from Vietnam. Bicky and her business partner Nam Dang operate an insect farm named CricketOne. Motivated by the idea of sustainable and healthy protein production, they started their unconventional endeavor a few years ago, despite numerous naysayers who didn’t believe that humans would ever consider munching on bugs.
Yet, making creepy crawlers part of our diet offers many health and planetary advantages. Food production needs to match the rise in global population, estimated to reach 10 billion by 2050. One challenge is that some of our current practices are inefficient, polluting and wasteful. According to nonprofit EarthSave.org, it takes 2,500 gallons of water, 12 pounds of grain, 35 pounds of topsoil and the energy equivalent of one gallon of gasoline to produce one pound of feedlot beef, although exact statistics vary between sources.
Meanwhile, insects are easy to grow, high on protein and low on fat. When roasted with salt, they make crunchy snacks. When chopped up, they transform into delicious pâtes, says Bicky, who invents her own cricket recipes and serves them at industry and public events. Maybe that’s why some research predicts that edible insects market may grow to almost $10 billion by 2030. Tune in for a delectable chat on this alternative and sustainable protein.
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Further reading:
More info on Bicky Nguyen
https://yseali.fulbright.edu.vn/en/faculty/bicky-n...
The environmental footprint of beef production
https://www.earthsave.org/environment.htm
https://www.watercalculator.org/news/articles/beef-king-big-water-footprints/
https://www.frontiersin.org/articles/10.3389/fsufs.2019.00005/full
https://ourworldindata.org/carbon-footprint-food-methane
Insect farming as a source of sustainable protein
https://www.insectgourmet.com/insect-farming-growing-bugs-for-protein/
https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/insect-farming
Cricket flour is taking the world by storm
https://www.cricketflours.com/
https://talk-commerce.com/blog/what-brands-use-cricket-flour-and-why/
Lina Zeldovich has written about science, medicine and technology for Popular Science, Smithsonian, National Geographic, Scientific American, Reader’s Digest, the New York Times and other major national and international publications. A Columbia J-School alumna, she has won several awards for her stories, including the ASJA Crisis Coverage Award for Covid reporting, and has been a contributing editor at Nautilus Magazine. In 2021, Zeldovich released her first book, The Other Dark Matter, published by the University of Chicago Press, about the science and business of turning waste into wealth and health. You can find her on http://linazeldovich.com/ and @linazeldovich.