University of Houston-founded company secures $2.5M in NIH grant funding

all in the timing

CellChorus announced that the company, along with The University of Houston, has been awarded up to $2.5 million in funding. Photo via Getty Images

You could say that the booming success of Houston biotech company CellChorus owes very much to auspicious TIMING. Those six letters stand for Time-lapse Imaging Microscopy In Nanowell Grids, a platform for dynamic single-cell analysis.

This week, CellChorus announced that the company, along with The University of Houston, has been awarded up to $2.5 million in funding from the National Center for Advancing Translational Sciences (NCATS) at the National Institute of Health. A $350,000 Phase I grant is already underway. Once predetermined milestones are achieved, this will lead to a two-year $2.1 million Phase II grant.

The TIMING platform was created by UH Single Cell Lab researchers Navin Varadarajan and Badri Roysam. TIMING generates high-throughput in-vitro assays that quantitatively profile interactions between cells on a large scale, particularly what happens when immune cells confront target cells. This has been especially useful in the realm of immuno-oncology, where it has demonstrated its power in designing novel therapies, selecting lead candidates for clinical trials and evaluating the potency of manufactured cells.

“By combining AI, microscale manufacturing and advanced microscopy, the TIMING platform yields deep insight into cellular behaviors that directly impact human disease and new classes of therapeutics,” says Rebecca Berdeaux, chief scientific officer at CellChorus. “The generous support of NCATS enables our development of computational tools that will ultimately integrate single-cell dynamic functional analysis of cell behavior with intracellular signaling events.”

Houston’s CellChorus Innovation Lab supports both the further development of TIMING and projects for early-access customers. Those customers include top-25 biopharmaceutical companies, venture-backed biotechnology companies, a leading comprehensive cancer center and a top pediatric hospital, says CEO Daniel Meyer.

CellChorus’s publications include papers written in collaboration with researchers from the Baylor College of Medicine, Houston Methodist, MD Anderson, Texas Children’s Hospital, the University of Texas and UTHealth in journals including Nature Cancer, Journal of Clinical Investigation and The Journal for ImmunoTherapy of Cancer.

The new Small Business Technology Transfer (STTR) award will specifically support the development of a scalable integrated software system conceived with the goal of analyzing cells that are not fluorescently labeled. This label-free analysis will be based on new AI and machine learning (ML) models trained on tens of millions of images of cells.

“This is an opportunity to leverage artificial intelligence methods for advancing the life sciences,” says Roysam. “We are especially excited about its applications to advancing cell-based immunotherapy to treat cancer and other diseases.”

The Houston-born-and-bred company couldn’t have a more appropriate home, says Meyer.

“Houston is a premier location for clinical care and the development of biotechnology and life sciences technologies. In particular, Houston has established itself as a leader in the development and delivery of immune cell-based therapies,” the CEO explains. “As a spin-out from the Single Cell Lab at the University of Houston, we benefit from working with world-class experts at local institutions.”

In May, the company received a similar $2.5 million SBIR grant from NCATS at the NIH. Also this summer, CellChorus's technology was featured in Nature Cancer.

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This uniquely Houston technology is an AI program that allows scientists to understand the functions of cells by evaluating cell activation, killing, and movement. Photo via Getty Images

University of Houston lab reports breakthrough in cancer-detecting technology

making moves

T-cell immunotherapy is all the rage in the world of fighting cancer. A Houston company’s researchers have discovered a new subset of T cells that could be a game changer for patients.

CellChorus is a spinoff of Navin Varadarajan’s Single Cell Lab, part of the University of Houston’s Technology Bridge. The lab is the creator of TIMING, or Time-lapse Imaging Microscopy In Nanowell Grids. It’s a visual AI program that allows scientists to understand the functions of cells by evaluating cell activation, killing, and movement.

Last month, Nature Cancer published a paper co-authored by Varadarajan entitled, “Identification of a clinically efficacious CAR T cell subset in diffuse large B cell lymphoma by dynamic multidimensional single-cell profiling.”

“Our results showed that a subset of T cells, labeled as CD8-fit T cells, are capable of high motility and serial killing, found uniquely in patients with clinical response,” says first author and recent UH graduate Ali Rezvan in Nature Cancer.

Besides him and Varadarajan, contributors hail from Baylor College of Medicine/Texas Children’s Hospital, MD Anderson Cancer Center, Kite Pharma, and CellChorus itself.

The team identified the CD80-fit T cells using TIMING to examine interactions between T cells and tumor cells across thousands of individual cells. They were able to integrate the results using single-cell RNA sequencing data.

T-cell therapy activates a patient’s own immune system to fight cancer cells, but not every patient responds favorably to it. Identifying CD8-fit cells could be the key to manufacturing clinical response even in those for whom immunotherapy hasn’t been effective.

“This work illustrates the excellence of graduate students Ali Rezvan and Melisa Montalvo; and post-doctoral researchers Melisa Martinez-Paniagua and Irfan Bandey among others,” says Varadarajan in a statement.

Earlier last month, CellChorus recently received a $2.5 million SBIR grant. The money allows the company to share TIMING more widely, facilitating even more landmark discoveries like CD8-fit cells.

CellChorus created a visualization AI program that helps scientists to better understand the functioning of cells, including their activation, killing and movement. Photo via Getty Images

Houston health tech startup scores $2.5M SBIR grant to advance unique cell therapy AI technology

fresh funding

A Houston biotech company just announced a new award of $2.5 million.

CellChorus, a spinoff of the Single Cell Lab at the University of Houston, announced the fresh funding, which comes from an SBIR (Small Business Innovation Research) grant from the National Institute of Health (NIH) through its National Center for Advancing Translational Sciences (NCATS).

CellChorus is the business behind a technology called TIMING, which stands for Time-lapse Imaging Microscopy In Nanowell Grids. It’s a visualization AI program that helps scientists to better understand the functioning of cells, including their activation, killing and movement. This more in-depth knowledge of immune cells could be instrumental in developing novel therapies in countless disorders, including cancers and infectious diseases.

“While many cell therapies have been approved and are in development, the industry needs an integrated analytical platform that provides a matrix of functional readouts, including cell phenotype and metabolism on the same cells over time,” Rebecca Berdeaux, vice president of science at CellChorus, says in a press release. “We are grateful to NCATS for its support of the development of application-specific kits that apply dynamic, functional single-cell analysis of immune cell phenotype and function. The product we will develop will increase the impact of these therapies to improve the lives of patients.”

A two-year, $2.1 million Phase II grant will begin after the company achieves predetermined milestones under a $350,000 Phase I grant that is currently taking place. As Berdeaux explained, the funds will be used to develop TIMING kits which will manufacture analytics that provide end-users with rapid, specific and predictive results to accelerate translational research and the development and manufacture of more effective cell therapies.

TIMING is more than a great idea whose time has yet to come. It has already been proven in great depth. In fact, last June, CellChorus CEO Daniel Meyer told InnovationMap that he was initially attracted to the technology because it was “very well validated.” At the time, CellChorus had just announced a $2.3 million SBIR Fast-Track grant from the National Institute of General Medical Sciences. The company also went on to win an award in the Life Science category of the 2023 Houston Innovation Awards.

That confirmation of success comes from more than 200 peer-reviewed papers that describe myriad cell types and types of therapy, all of which used data from TIMING assays. TIMING data has benefited industry leaders in everything from research and clinical development to manufacturing. With the new grant, TIMING will become more widely available to scientists making important discoveries relating to the inner workings of the cells that drive our immunity.

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Houston lab develops AI tool to improve neurodevelopmental diagnoses

developing news

One of the hardest parts of any medical condition is waiting for answers. Speeding up an accurate diagnosis can be a doctor’s greatest mercy to a family. A team at Baylor College of Medicine has created technology that may do exactly that.

Led by Dr. Ryan S. Dhindsa, assistant professor of pathology and immunology at Baylor and principal investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, the scientists have developed an artificial intelligence-based approach that will help doctors to identify genes tied to neurodevelopmental disorders. Their research was recently published the American Journal of Human Genetics.

According to its website, Dhindsa Lab uses “human genomics, human stem cell models, and computational biology to advance precision medicine.” The diagnoses that stem from the new computational tool could include specific types of autism spectrum disorder, epilepsy and developmental delay, disorders that often don’t come with a genetic diagnosis.

“Although researchers have made major strides identifying different genes associated with neurodevelopmental disorders, many patients with these conditions still do not receive a genetic diagnosis, indicating that there are many more genes waiting to be discovered,” Dhindsa said in a news release.

Typically, scientists must sequence the genes of many people with a diagnosis, as well as people not affected by the disorder, to find new genes associated with a particular disease or disorder. That takes time, money, and a little bit of luck. AI minimizes the need for all three, explains Dhindsa: “We used AI to find patterns among genes already linked to neurodevelopmental diseases and predict additional genes that might also be involved in these disorders.”

The models, made using patterns expressed at the single-cell level, are augmented with north of 300 additional biological features, including data on how intolerant genes are to mutations, whether they interact with other known disease-associated genes, and their functional roles in different biological pathways.

Dhindsa says that these models have exceptionally high predictive value.

“Top-ranked genes were up to two-fold or six-fold, depending on the mode of inheritance, more enriched for high-confidence neurodevelopmental disorder risk genes compared to genic intolerance metrics alone,” he said in the release. “Additionally, some top-ranking genes were 45 to 500 times more likely to be supported by the literature than lower-ranking genes.”

That means that the models may actually validate genes that haven’t yet been proven to be involved in neurodevelopmental conditions. Gene discovery done with the help of AI could possibly become the new normal for families seeking answers beyond umbrella terms like “autism spectrum disorder.”

“We hope that our models will accelerate gene discovery and patient diagnoses, and future studies will assess this possibility,” Dhindsa added.

Texas robotics co. begins new search for missing Malaysia Airlines flight 370

International News

Malaysia’s government has given final approval for a Texas-based marine robotics company to renew the search for Malaysia Airlines Flight 370, which is believed to have crashed in the southern Indian Ocean more than a decade ago.

Cabinet ministers agreed to terms and conditions for a “no-find, no-fee” contract with Texas-based Ocean Infinity to resume the seabed search operation at a new 5,800-square-mile site in the ocean, Transport Minister Anthony Loke said in a statement Wednesday. Ocean Infinity will be paid $70 million only if wreckage is discovered.

The Boeing 777 plane vanished from radar shortly after taking off on March 8, 2014, carrying 239 people, mostly Chinese nationals, on a flight from Malaysia’s capital, Kuala Lumpur, to Beijing. Satellite data showed the plane turned from its flight path and headed south to the far-southern Indian Ocean, where it is believed to have crashed.

An expensive multinational search failed to turn up any clues to its location, although debris washed ashore on the east African coast and Indian Ocean islands. A private search in 2018 by Ocean Infinity also found nothing.

The final approval for a new search came three months after Malaysia gave the nod in principle to plans for a fresh search.

Ocean Infinity CEO Oliver Punkett earlier this year reportedly said the company had improved its technology since 2018. He has said the firm is working with many experts to analyze data and had narrowed the search area to the most likely site.

Loke said his ministry will ink a contract with Ocean Infinity soon but didn’t provide details on the terms. The firm has reportedly sent a search vessel to the site and indicated that January-April is the best period for the search.

“The government is committed to continuing the search operation and providing closure for the families of the passengers of flight MH370,” he said in a statement.

Harris County booms with 3rd biggest population in U.S.

Boomtown

Newly released U.S. Census Bureau data has revealed Harris County became the third most populous county nationwide in 2024, and it had the highest year-over-year growth rate from 2023.

The new population report, published this month, estimated year-over-year population data from 2023 to 2024 across all 3,144 U.S. counties, and 387 metro areas.

Harris County's numeric growth rate outpaced all other U.S. counties from July 1, 2023 to July 1, 2024, the report found. The Census Bureau estimated Harris County's population grew by 105,852 people year-over-year, bringing the total population to 5,009,302 residents. That's around a 2.16 percent growth rate.

Los Angeles County, California (No. 1) and Illinois' Cook County (No. 2) are the only two U.S. counties that have larger populations than Harris County. Los Angeles County now boasts a population of nearly 9.76 million, while Cook County's has increased to more than 5.18 million people.

The top 10 most populous counties in the U.S. are:

  • No. 1 – Los Angles County, California
  • No. 2 – Cook County, Illinois
  • No. 3 – Harris County, Texas
  • No. 4 – Maricopa County, Arizona
  • No. 5 – San Diego County, California
  • No. 6 – Orange County, California
  • No. 7 – Miami-Dade County, Florida
  • No. 8 – Dallas County, Texas
  • No. 9 – Kings County, New York
  • No. 10 – Riverside County, California

Montgomery County also ranked among the top 10 U.S. counties with the highest numeric growth, ranking 9th nationally after gaining 34,268 residents from 2023 to 2024. Montgomery County's population has now grown to 749,613 people.

In the report's national comparison of counties with the largest population growth by percentage, Montgomery County ranked No. 7 with a year-over-year growth rate of 4.8 percent.

Most populated U.S. metro areas

The U.S. Census Bureau additionally found Houston-Pasadena-The Woodlands nearly led the nation as the second-fastest growing metro area in 2024.

From July 2023 to July 2024, the Houston metro added 198,171 residents to bring the total population to 7,796,182.

New York-Newark-Jersey City was the only metro area to outpace Houston's growth during the one-year period. The New York-New Jersey metro added 213,403 new residents, which brought the total population to over 19.94 million last year.

Kristie Wilder, a Census Bureau Population Division demographer, said in the report that the nation's population growth in its major metros was largely impacted by international migration rather than changes in birth rates.

"While births continue to contribute to overall growth, rising net international migration is offsetting the ongoing net domestic outmigration we see in many of these areas," Wilder said.

Dallas-Fort Worth-Arlington was right behind Houston as the third-fastest growing U.S. metro in 2024. The Metroplex gained 177,922 residents last year, and now has a total population of more than 8.34 million.

The top 10 U.S. metros with the highest numeric growth from 2023 to 2024 are:

  • No. 1 – New York-Newark-Jersey City, New York-New Jersey
  • No. 2 – Houston-Pasadena-The Woodlands, Texas
  • No. 3 – Dallas-Fort Worth-Arlington, Texas
  • No. 4 – Miami-Fort Lauderdale-West Palm Beach, Florida
  • No. 5 – Washington-Arlington-Alexandria, D.C.-Virginia-Maryland-West Virginia
  • No. 6 – Phoenix-Mesa-Chandler, Arizona
  • No. 7 – Orlando-Kissimmee-Sanford, Florida
  • No. 8 – Atlanta-Sandy Springs-Roswell, Georgia
  • No. 9 – Chicago-Naperville-Elgin, Illinois-Indiana
  • No. 10 – Seattle-Tacoma-Bellevue, Washington
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This article originally appeared on our sister site, CultureMap.com.

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