Houston-based Avance Biosciences' new Next-Generation Sequencing Center of Excellence will pursue breakthroughs in biologics, cell therapy and gene therapy. Photo via Getty Images.

Houston-based Avance Biosciences has launched the Next-Generation Sequencing Center of Excellence, designed to enhance the company’s sequencing capabilities for drug development. Specifically, the facility at the company’s main campus in Northwest Houston will pursue breakthroughs in biologics, cell therapy and gene therapy.

In the drug industry, sequencing refers to studying nucleotides in DNA and RNA molecules. Nucleotides are the building blocks of DNA and RNA.

“This is a major milestone for Avance Biosciences as we continue to support the evolving needs of biologics and cell and gene therapy developers,” Xuening “James” Huang, co-founder, CEO and chief technology officer of Avance, said in a news release. “By consolidating state-of-the-art sequencing platforms and scientific talent, we’ve created a highly capable organization ready to solve complex genomic challenges with precision and compliance.”

In 2013, Avance rolled out next-generation sequencing (NGS) that complies with federal guidelines. Since then, Avance “has remained at the forefront of regulated sequencing services,” the company said. “The launch of the (new center) strengthens the company’s ability to deliver accurate, reproducible, and regulatory-aligned sequencing data across a wide array of therapeutic modalities.”

Cal Froberg, senior vice president of sales and marketing at Avance, said pharmaceutical and biotech clients trust the company’s technical capabilities and regulatory compliance.

“With the ever-changing global landscape and increasing scrutiny around international sample shipments, conducting advanced, cost-effective NGS testing domestically is now more feasible than ever,” Froberg said. “Our clients have confidence that their samples will remain in the U.S.”

Avance, founded in 2010, plans to hold an open house at the new facility in September to showcase its capabilities, technology, talent, and services. The company’s services include sequencing, molecular biology, cell-based testing, and bioanalytical testing.
San Diego-based rBIO moved to Houston to take advantage of the growing ecosystem of biomanufacturing and synthetic biology. Photo via Getty Images

California-founded biotech startup relocates to join Houston's emerging bioeconomy

new to hou

Cameron Owen had an idea for a synthetic biology application, and he pitched it to a handful of postdoctoral programs. When he received the feedback that he didn't have enough research experience, he decided to launch a startup based in San Diego around his idea. He figured that he'd either get the experience he needed to re-apply, or he'd create a viable company.

After three years of research and development, Owen's path seems to have taken him down the latter of those two options, and he moved his viable company, rBIO, to Houston — a twist he didn't see coming.

“Houston was not on my radar until about a year and a half ago,” Owen says, explaining that he thought of Houston as a leading health care hub, but the coasts still had an edge when it came to what he was doing. “San Diego and the Boston area are the two big biotech and life science hubs.”

But when he visited the Bayou City in December of 2021, he says he saw first hand that something new was happening.

“Companies from California like us and the coastal areas were converging here in Houston and creating this new type of bioeconomy,” he tells InnovationMap.

Owen moved to Houston last year, but rBIO still has an academic partner in Washington University in St. Louis and a clinical research organization it's working with too, so he admits rBIO's local footprint is relatively small — but not for long.

"When we look to want to get into manufacturing, we definitely want to build something here in Houston," he says. "We’re just not to that point as a company."

In terms of the stage rBIO is in now, Owen says the company is coming out of R&D and into clinical studies. He says rBIO has plans to fundraise and is meeting with potential partners that will help his company scale and build out a facility.

With the help of its CRO partner, rBIO has two ongoing clinical projects — with a third coming next month. Owen says right now rBIO is targeting the pharmaceutical industry’s biologics sector — these are drugs our bodies make naturally, like insulin. About 12 percent of the population in the United States has diabetes, which translates to almost 40 million people. The demand for insulin is high, and rBIO has a way to create it — and at 30 percent less cost.

This is just the tip of the iceberg — the world of synthetic biology application is endless.

“Now that we can design and manipulate biology in ways we’ve never been able to before,” Owen says, "we’re really only limited by our own imagination.”

Synthetic biology is a field of science that involves programing biology to create and redesign natural elements. While it sounds like science fiction, Owen compares it to any other type of technology.

“Biology really is a type of software,” he says. “Phones and computers at their core run on 1s and 0s. In biology, it’s kind of the same thing, but instead of two letters, it’s four — A, C, T, and G.”

“The cool thing about biology is the software builds the hardware,” he continues. “You put that code in there and the biology builds in and of itself.”

Owen says the industry of synthetic biology has been rising in popularity for years, but the technology has only recently caught up.

“We’re exploring a brave new world — there’s no doubt about that,” Owen says.

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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.”