BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models received a $10 million, five-year grant from the National Institutes of Health last month that will allow it to continue its work studying rare genetic diseases.

The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments.

The center was originally funded by an NIH grant, and its models have contributed to the discovery of several new rare disease genes and new symptoms caused by known disease genes. It hosts an online portal that allows physicians, families and advocacy groups to nominate genetic variants or rare diseases that need further investigation or new treatments.

Since its founding in 2020, it has received 156 disease/variant nominations, accepted 63 for modeling and produced more than 200 precision models, according to Baylor.

The center plans to use the latest round of funding to bring together more experts in rare disease research, animal modeling and bioinformatics, and to expand its focus and model more complex diseases.

Dr. Jason Heaney, associate professor in the Department of Molecular and Human Genetics at BCM, serves as the lead principal investigator of the center.

“The Department of Molecular and Human Genetics is uniquely equipped to bring together the diverse expertise needed to connect clinical human genetics, animal research and advanced bioinformatics tools,” Heaney added in the release. “This integration allows us to drive personalized medicine forward using precision animal models and to turn those discoveries into better care for patients.”

Rebecca Vaught started her biotech company just ahead of COVID-19, but she shares on the Houston Innovators Podcast that it's meant more opportunities than challenges. Photo courtesy of Van Heron Labs

Entrepreneur hopes to bring microbiology into the future with her Houston-based, pandemic-founded startup

HOUSTON INNOVATORS PODCAST EPISODE 40

While startups everywhere are struggling to adapt in the tumultuous times of COVID-19, Rebecca Vaught and her company, having launched just ahead of the pandemic, don't actually know any other way of existing.

After watching some of her friends thrive in Houston's life science ecosystem, she knew Houston was the place she wanted to start the company that she'd been envisioning and plotting for years. She took a chance on the city, moved in, and began Enventure's Biodesign accelerator. The program shutdown as COVID-19 spread, much like other programs, but Vaught wasn't going to let that stop her momentum.

"A lot of people probably would have seen that as the stopping point but that was actually the beginning of the company," Vaught says on the Houston Innovators Podcast. "What it allowed us to do was actually establish the lab and do the hard work."

As Vaught says, the biotech company, Van Heron Labs, is what it is thanks to the pandemic — not just in spite of it.

"While it's been challenging, the pandemic — in a lot of ways — is the only thing we've ever known and it's a lot of reason why the company has taken off and been successful," Vaught says on the show.

She runs the company with co-founder Alec Santiago and a team of 17 interns — all located across the country. Vaught herself is currently residing in Huntsville, Alabama, after struggling to find lab space in Houston. However, the relocation has been a blessing in disguise.

"Both ecosystems are extremely unique and both bring something different to the table," she says. "My next mission, through my lived experience, is igniting or uniting the Houston and Huntsville biotech ecosystems."

On the episode, Vaught explains how the two cities — each representing key parts of space exploration history and burgeoning tech scene — complement each other. She also shares her plans for growth and the need to bring microbiology into the future.

Listen to the full interview below — or wherever you get your podcasts — and subscribe for weekly episodes.


Pheramor takes users' DNA and social media habits and matches them with compatible partners. Courtesy of Pheramor

Houston DNA-based dating app expands nationwide, launches next funding round

From swiping to swabbing

Houston singles can find their perfect match — even if it's someone across the country. Houston-based Pheramor — a DNA-based dating app — is available for download in every state.

Brittany Barreto, Pheramor's co-founder and CEO, has a PhD in genetics from Baylor College of Medicine. She first had the idea in a genetics seminar when she was 18 and in college, but that was almost 10 years ago, and the market wasn't ready. Now, she says singles have swipe fatigue from the existing and ineffective dating apps, and it's also relatively normal now to send your spit in the mail thanks to 23AndMe.

Pheramor users download the app and request a test kit. After a few cheek swabs, they send it back to Barreto and her team and they identify 11 immune system genes and upload the data to the user's profile. The app then compares the genes to other users to give a compatibility score.

"The science behind attraction based on your DNA is that people are attracted to one another when their immune systems are different — opposites attract is biologically true," Barreto says. "When we were cavewomen and cavemen, we didn't know who was our uncle and who was our cousin, so we used our nose to figure out who is genetically diverse compared to us. If you're genetically diverse, then you're probably not my relative, and therefore we'd have healthier children."

Pheramor also calculates a social score based on a questionnaire or a data mine of a user's social media. The overall compatibility score uses both the DNA and social compatibility scores.

The app launched in Houston in March to a great reception of local singles, but, a few months later, Barreto realized nothing was holding them back from expanding nationwide.

"We surveyed our user base and asked them if they had highly compatible numbers with someone in, say, Chicago, would they want to know," Barreto says. "And something like 89 percent said yes."

Pheramor users are usually between 28 and 38, have good paying jobs, and are seeing commitment, Barreto says. Most of them travel around a lot already.

"We opened it up on September 7, and in 30 days we saw over 50 percent growth in our user base."

The company has zeroed in on a few key metros where advertising dollars go a long way for generating user downloads; Boston, New York, San Francisco, Los Angeles, and Miami have all been great markets for Pheramor.

With the user base growing, Barreto is focused on growing her team. Pheramor's current round of funding launched November 1, and with the capital raised, she hopes to be able to make the team's CFO and chief marketing officer both full time.

Pheramor is also working on using its custom algorithm as a resource to other existing dating services worldwide as well as for couples who want to see their compatibility score with their current partners.

"A long-term goal that's coming to fruition a lot faster than I thought is Pheramor being a leader in genetic testing for romance," Barreto says.

Science of love

Karla Martin/Pheramor

Pheramor CEO and co-founder, Brittany Barreto, first thought of a DNA-based dating company when she was in undergraduate student studying biology. The idea stuck with her as she went through her genetics doctoral program at Baylor College of Medicine.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”