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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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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Rice, Houston Methodist developing soft 'sleep cap' for brain health research

Researchers and scientists at Rice University and Houston Methodist are developing a “sleep cap” that aims to protect the brain against dementia and other similar diseases by measuring and improving deep sleep.

The project is a collaboration between Rice University engineering professors Daniel Preston, Vanessa Sanchez and Behnaam Aazhang; and Houston Methodist neurologist Dr. Timea Hodics and Dr. Gavin Britz, director of the Houston Methodist Neurological Institute and chairman of the Department of Neurosurgery.

According to Rice, deep sleep is essential for clearing waste products from the brain and nightly “cleaning cycles” help remove toxic proteins. These toxic proteins, like amyloids, can accumulate during the day and are linked to Alzheimer’s disease and other neurological issues.

Aazhang, director of the Rice Neuroengineering Initiative, and his team are building a system that not only tracks the brain’s clearing process but can also stimulate it, improving natural mechanisms that protect against neurodegeneration.

Earlier proof-of-concept versions of the caps successfully demonstrated the promise of this approach; however, they were rigid and uncomfortable for sleep.

Preston and Sanchez will work to transform the design of the cap into a soft, lightweight, textile-based version to make sleep easier, while also allowing the caps to be customizable and tailored for each patient.

“One of the areas of expertise we have here at Rice is designing wearable devices from soft and flexible materials,” Preston, an assistant professor of mechanical engineering, said in a news release. “We’ve already shown this concept works in rigid device prototypes. Now we’re building a soft, breathable cap that people can comfortably wear while they sleep.”

Additionally, the research team is pursuing ways to adapt their technology to measure neuroinflammation and stimulate the brain’s natural plasticity. Neuroinflammation, or swelling in the brain, can be caused by injury, stroke, disease or lifestyle factors and is increasingly recognized as a driver of neurodegeneration, according to Rice.

“Our brain has an incredible ability to rewire itself,” Aazhang added in the release. “If we can harness that through technology, we can open new doors for treating not just dementia but also traumatic brain injury, stroke, Parkinson’s disease and more.”

The project represents Rice’s broader commitment to brain health research and its support for the Dementia Prevention Research Institute of Texas (DPRIT), which passed voter approval last week. The university also recently launched its Rice Brain Institute.

As part of the project, Houston Methodist will provide access to clinicians and patients for early trials, which include studies on patients who have suffered traumatic brain injury and stroke.

“We have entered an era in neuroscience that will result in transformational cures in diseases of the brain and spinal cord,” Britz said in the release. “DPRIT could make Texas the hub of these discoveries.”

Autonomous truck company with Houston routes goes public

on a roll

Kodiak Robotics, a provider of AI-powered autonomous vehicle technology, has gone public through a SPAC merger and has rebranded as Kodiak AI. The company operates trucking routes to and from Houston, which has served as a launchpad for the business.

Privately held Kodiak, founded in 2018, merged with a special purpose acquisition company — publicly held Ares Acquisition Corp. II — to form Kodiak AI, whose stock now trades on the Nasdaq market.

In September, Mountain View, California-based Kodiak and New York City-based Ares disclosed a $145 million PIPE (private investment in public equity) investment from institutional investors to support the business combo. Since announcing the SPAC deal, more than $220 million has been raised for the new Kodiak.

“We believe these additional investments underscore our investors’ confidence in the value proposition of Kodiak’s safe and commercially deployed autonomous technology,” Don Burnette, founder and CEO of Kodiak, said in a news release.

“We look forward to leading the advancement of the commercial trucking and public sector industries,” he added, “and delivering on the exciting value creation opportunities ahead to the benefit of customers and shareholders.”

Last December, Kodiak debuted a facility near George Bush Intercontinental/Houston Airport for loading and loading driverless trucks. Transportation and logistics company Ryder operates the “truckport” for Ryder.

The facility serves freight routes to and from Houston, Dallas and Oklahoma City. Kodiak’s trucks currently operate with or without drivers. Kodiak’s inaugural route launched in 2024 between Houston and Dallas.

One of the companies using Kodiak’s technology is Austin-based Atlas Energy Solutions, which owns and operates four driverless trucks equipped with Kodiak’s driver-as-a-service technology. The trucks pick up fracking sand from Atlas’ Dune Express, a 42-mile conveyor system that carries sand from Atlas’ mine to sites near customers’ oil wells in the Permian Basin.

Altogether, Atlas has ordered 100 trucks that will run on Kodiak’s autonomous technology in an effort to automate Atlas’ supply chain.

Rice University scientists invent new algorithm to fight Alzheimer's

A Seismic Breakthrough

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

To prove this link, researchers at Rice, alongside Boston University, developed a computational algorithm called “Single-cell Expression Integration System for Mapping Genetically Implicated Cell Types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

“As we age, some brain cells naturally slow down, but in dementia — a memory-loss disease — specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

“We built our SEISMIC algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

“We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

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This article originally appeared on CultureMap.com.

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