Rice biochemist Natasha Kirienko and MD Anderson physician-scientist Marina Konopleva made the striking discovery. Photo by Jeff Fitlow

Rice University and MD Anderson researchers have just discovered a potential one-two punch that could, they hope, knock out an insidious disease.

A recent study in the journal Leukemia centers on potential new drugs that, with the help of other medications, can thwart leukemia cells.

Specifically, Rice biochemist Natasha Kirienko and MD Anderson physician-scientist Marina Konopleva screened some 45,000 small-molecule compounds to find a few that targeted mitochondria, according to Rice press materials.

In this innovative new study, the team selected eight of the most promising compounds, identified between five and 30 closely related analogs for each, and conducted tens of thousands of tests to systematically determine how toxic each analog was to leukemia cells. This was measured both when administered individually or in combination with existing chemotherapy drugs like doxorubicin, notes a release.

Previously, Kirienko’s lab had shown the eight compounds targeted energy-producing machinery inside cells called mitochondria. Mitochondria, which work nonstop in every living cell, wear out with use. The chosen eight compounds induce mitophagy, which can be described as how cells decommission and recycle deficient and used-up.

Notably, during times of extreme stress, cells can temporarily forgo mitophagy for an emergency energy boost. Previous research has shown leukemia cells have far more damaged mitochondria than healthy cells and are also more sensitive to mitochondrial damage than healthy cells.

Thus, Kirienko and Konopleva reasoned that mitophagy-inducing drugs might weaken leukemia cells and make them more susceptible to chemotherapy. Synergy — using two or more drugs in treatment — is key.

“The point of synergy is that there are concentrations, or dosages, where a single drug doesn't kill,” Kirienko said. “There is no death of healthy cells or cancer cells. But administering those same concentrations in combination can kill a considerable amount of cancer cells and still not affect healthy cells.”

The team tested the toxicity of its mitophagy-inducing compounds and combinations against acute myeloid leukemia (AML) cells, the most commonly diagnosed form of the disease. They then tested the six most effective AML-killing compounds against other forms of leukemia, finding that five were also effective at killing acute lymphoblastic leukemia (ALL) cells and chronic myelogenous leukemia (CML) cells.

Studies found all the mitophagy-inducing drugs caused far less harm to healthy cells.

Finally, the researchers tested one of the most effective mitochondria-targeting compounds, PS127E, using a cutting-edge technique called a patient-derived xenograft (PDX) model. Also referred to as a “mouse clinical trial,” mice are implanted with cancer cells from a leukemia patient. As the cells grow, the mouse is exposed to a drug or combination of drugs as a closer-than-cells test of the treatment’s effect.

Importantly, PDX tests on one compound, PS127E, showed it was effective at killing AML cells in mice, Rice notes, signaling promising news.

“Although this is very promising, we’re still some distance from having a new treatment we can use in the clinic,” Kirienko added. “We still have a lot to discover. For example, we need to better understand how the drugs work in cells. We need to refine the dose we think would be best, and perhaps most importantly, we need to test on a wide variety of AML cancers. AML has a lot of variations, and we need to know which patients are most likely to benefit from this treatment and which are not. Only after we’ve done that work, which may take a few years, would we be able to start testing in humans.”

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This article originally ran on CultureMap.

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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.”

Axiom Space wins NASA contract for fifth private mission, lands $350M in financing

ready for takeoff

Editor's note: This story has been updated to include information about Axiom's recent funding.

Axiom Space, a Houston-based space infrastructure company that’s developing the first commercial space station, has forged a deal with NASA to carry out the fifth civilian-staffed mission to the International Space Station.

Axiom Mission 5 is scheduled to launch in January 2027, at the earliest, from NASA’s Kennedy Space Center in Florida. The crew of non-government astronauts is expected to spend up to 14 days docked at the International Space Station (ISS). Various science and research activities will take place during the mission.

The crew for the upcoming mission hasn’t been announced. Previous Axiom missions were commanded by retired NASA astronauts Michael López-Alegría, the company’s chief astronaut, and Peggy Whitson, the company’s vice president of human spaceflight.

“All four previous [Axiom] missions have expanded the global community of space explorers, diversifying scientific investigations in microgravity, and providing significant insight that is benefiting the development of our next-generation space station, Axiom Station,” Jonathan Cirtain, president and CEO of Axiom, said in a news release.

As part of Axiom’s new contract with NASA, Voyager Technologies will provide payload services for Axiom’s fifth mission. Voyager, a defense, national security, and space technology company, recently announced a four-year, $24.5 million contract with NASA’s Johnson Space Center in Houston to provide mission management services for the ISS.

Axiom also announced today, Feb. 12, that it has secured $350 million in a financing round led by Type One Ventures and Qatar Investment Authority.

The company shared in a news release that the funding will support the continued development of its commercial space station, known as Axiom Station, and the production of its Axiom Extravehicular Mobility Unit (AxEMU) under its NASA spacesuit contract.

NASA awarded Axiom a contract in January 2020 to create Axiom Station. The project is currently underway.

"Axiom Space isn’t just building hardware, it’s building the backbone of humanity’s next era in orbit," Tarek Waked, Founding General Partner at Type One Ventures, said in a news release. "Their rare combination of execution, government trust, and global partnerships positions them as the clear successor-architect for life after the ISS. This is how the United States continues to lead in space.”

Houston edtech company closes oversubscribed $3M seed round

fresh funding

Houston-based edtech company TrueLeap Inc. closed an oversubscribed seed round last month.

The $3.3 million round was led by Joe Swinbank Family Limited Partnership, a venture capital firm based in Houston. Gamper Ventures, another Houston firm, also participated with additional strategic partners.

TrueLeap reports that the funding will support the large-scale rollout of its "edge AI, integrated learning systems and last-mile broadband across underserved communities."

“The last mile is where most digital transformation efforts break down,” Sandip Bordoloi, CEO and president of TrueLeap, said in a news release. “TrueLeap was built to operate where bandwidth is limited, power is unreliable, and institutions need real systems—not pilots. This round allows us to scale infrastructure that actually works on the ground.”

True Leap works to address the digital divide in education through its AI-powered education, workforce systems and digital services that are designed for underserved and low-connectivity communities.

The company has created infrastructure in Africa, India and rural America. Just this week, it announced an agreement with the City of Kinshasa in the Democratic Republic of Congo to deploy a digital twin platform for its public education system that will allow provincial leaders to manage enrollment, staffing, infrastructure and performance with live data.

“What sets TrueLeap apart is their infrastructure mindset,” Joe Swinbank, General Partner at Joe Swinbank Family Limited Partnership, added in the news release. “They are building the physical and digital rails that allow entire ecosystems to function. The convergence of edge compute, connectivity, and services makes this a compelling global infrastructure opportunity.”

TrueLeap was founded by Bordoloi and Sunny Zhang and developed out of Born Global Ventures, a Houston venture studio focused on advancing immigrant-founded technology. It closed an oversubscribed pre-seed in 2024.