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    EVOLVING FOR THE FUTURE

    Texas bioscience company makes colossal move to resurrect the extinct woolly mammoth

    Chantal Rice
    Sep 20, 2021 | 9:45 am
    Ben Lamm and George Church of Colossal
    Ben Lamm and George Church are pioneering colossal de-extinction technology.
    Courtesy of Colossal

    In a move that may conjure up fanciful thoughts of a particular Steven Spielberg film, a newly launched bioscience and genetics company with ties to Austin and Dallas is pioneering a plan to ensure the long extinct woolly mammoth will once again trudge through the Arctic tundra.

    (No need to panic, movie fans, as the furry beast is an herbivore and has no taste for human flesh, lest we forget the lessons learned from Jurassic Park.)

    The appropriately named Colossal, which is based across Austin, Dallas, and Boston, has secured $15 million in funding from a variety of sources (including Austin-based Capital Factory and famed self-help guru Tony Robbins) to bring the woolly mammoth back from its roughly 10,000-year extinction.

    Colossal, the brainchild of Baylor University grad and tech and software entrepreneur Ben Lamm and George Church, a professor of genetics at Harvard Medical School who has innovated new approaches to gene editing. Their goal is to pioneer animal de-extinction technology to restore lost ecosystems for a healthier planet. And they’re starting by resurrecting the woolly mammoth back to its cold-resistant, curled-tusk, fur-covered glory.

    Specifically, Colossal will work to bring to life a cold-resistant elephant-mammoth hybrid with the core biological traits of the woolly mammoth, meaning it will walk, look, and sound like the giant creature, and will be able to inhabit the same ecosystem left abandoned by the woolly mammoth’s extinction.

    The company uses breakthrough advances in CRISPR genetic engineering to make such scientific dreams a reality. It’s all in an effort to “rewild lost habitats and help combat the effects of climate change and the loss of biodiversity.” And Colossal notes that its gene-editing process also has the potential to help advance biotechnology products and genomics while also treating diseases. Such technological advancements will also be used to help recover species on the brink of extinction.

    “Never before has humanity been able to harness the power of this technology to rebuild ecosystems, heal our Earth, and preserve its future through the repopulation of extinct animals,” Lamm says in a release. “In addition to bringing back ancient extinct species like the woolly mammoth, we will be able to leverage our technologies to help preserve critically endangered species that are on the verge of extinction and restore animals where humankind had a hand in their demise.”

    Indeed, Colossal points to a 2019 United Nations report that warned that more than 1 million animal, plant, and fungi species are now threatened with extinction. That situation could domino, leading to the collapse of ecosystems and negatively impacting human health and livelihood.

    By resurrecting certain extinct species, Colossal hopes to rewild habitats and revitalize lost ecosystems, thereby creating a healthier planet. To wit, restoring the woolly mammoth can potentially revitalize the Arctic grasslands, which could combat the dire effects of climate change through a variety of properties, including carbon sequestering, methane suppression, and light reflection.

    “Technologies discovered in pursuit of this grand vision — a living, walking proxy of a woolly mammoth — could create very significant opportunities in conservation and beyond, not least of which include inspiring public interest in STEM, prompting timely discussions in bioethics, and raising awareness of the vital importance of biodiversity,” Church says.

    natureeducationpreservationtechnologyweatherpets
    news/innovation

    brain scientists at work

    Rice University scientists invent new algorithm to fight Alzheimer's

    Jef Rouner
    Oct 24, 2025 | 3:00 pm
    Vicky Yao and Qiliang Lai of Rice University work on a laptop.
    Photo courtesy of Rice University
    Vicky Yao, an assistant professor of computer science and member of the Ken Kennedy Institute at Rice University, and Qiliang Lai, a Rice postdoctoral researcher

    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.”

    rice universityscienceresearch
    news/innovation

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