Codes in the cilia: New study maps how Cilk1 and Hedgehog levels sculpt tooth architecture
Peer-Reviewed Publication
Updates every hour. Last Updated: 14-Jun-2026 18:16 ET (14-Jun-2026 22:16 GMT/UTC)
Cilk1 deficiency disrupts normal tooth development by altering primary cilia function and weakening Hedgehog signaling. This reduction triggers extra diastemal teeth, enlarges them under further signaling loss, and can ultimately cause molar fusion. Researchers propose a progressive model linking Hedgehog signaling levels to sequential changes in tooth patterning. The study highlights a previously unknown role for Cilk1 in shaping tooth morphology and improving understanding of developmental dental disorders in humans.
A team led by Prof. Richard GU Hongri, Assistant Professor in the Division of Integrative Systems and Design of the Academy of Interdisciplinary Studies at The Hong Kong University of Science and Technology (HKUST), in collaboration with experts in mechanical engineering and biomedicine, has developed an automated robotic nanoprobe. This device can navigate within living cell, sense metabolic whispers in real time, and pluck an individual mitochondrion for analysis or—all without the need for fluorescent labeling. It is the world’s first cell-manipulation nanoprobe that integrates both sensors and actuators at its tip, enabling a micro-robot to autonomously navigate inside live cells. The breakthrough holds great promise for advancing future treatment strategies for chronic diseases and cancer.
Researchers at VIB and KU Leuven have identified a molecular process that allows motor neurons to maintain protein production, a process that fails in amyotrophic lateral sclerosis (ALS). The study, published in Nature Neuroscience, reveals an early weakness in neurodegeneration and highlights a potential target for future therapies.
“We know the genes, but not their functions.” To resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages Artificial Intelligence (AI) to drastically accelerate the discovery of microbial gene functions.
KAIST announced on Jan. 12 that a research team led by Distinguished Professor Sang Yup Lee from the Department of Chemical and Biomolecular Engineering, in collaboration with Professor Bernhard Palsson from the Department of Bioengineering at UCSD, has published a comprehensive review paper. The study systematically analyzes and organizes the latest AI-based research approaches aimed at revolutionizing the speed of gene function discovery.
Tokyo, Japan – Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister chromatid exchanges (SCE) in chromosomes under the microscope. Conventional analysis requires trained personnel and time, with variability between different people. The team’s machine-learning-based algorithm boasts an accuracy of 84% and gives a more objective measurement. This could be a game changer for diagnosing disorders tied to abnormal numbers of SCEs, like Bloom syndrome.
445 million years ago, life on our planet was forever changed. During a geological blink of an eye, glaciers formed over the supercontinent Gondwana, drying out many of the vast, shallow seas like a sponge and giving us an ‘icehouse climate’ that, together with radically changed ocean chemistry, ultimately caused the extinction of about 85% of all marine species – the majority of life on Earth.
In a new Science Advances study, researchers from the Okinawa Institute of Science and Technology (OIST) have now proved that from this biological havoc, known as the Late Ordovician Mass Extinction (LOME), came an unprecedented richness of vertebrate life. During the upheaval, one group came to dominate all others, putting life on the path to what we know it as today: jawed vertebrates.
The flagellar tails of bacteria rotate clockwise or counterclockwise because of active mechanical forces that pressure the individual ‘teeth’ of a gear to cooperate. This revises a decades-old model of how bacteria tails switch their rotational direction. The study, led by scientists at the Flatiron Institute, appears in Nature Physics.