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Category: biological

Myofibroblasts generate fibrotic scars after spinal cord injury (SCI). This is typically regarded as an impediment to nerve regeneration. Understanding the heterogeneous characteristics of fibrotic scars might help to develop strategies for remodeling fibrotic scars after SCI. However, the composition, origin and function of fibrotic scars have been a subject of ongoing debate in the field.

A recent study led by Profs. Dai Jianwu and Zhao Yannan from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences employed a combination of lineage tracing and single-cell RNA sequencing (scRNA-seq) to demonstrate the heterogeneous distribution, source, and function of meningeal fibroblasts and perivascular fibroblasts in fibrotic scars.

Their research is published in the journal Nature Communications.

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An engineered gut microbe can detoxify methylmercury, reducing the amount that passes into the brain and developing fetuses of mice fed a diet rich in fish, UCLA and UC San Diego’s Scripps Institution of Oceanography scientists have discovered.

“We envision the possibility that people could take a probiotic to offset the risk of consuming too much methylmercury, especially when pregnant,” said UCLA associate professor and director of the UCLA Goodman-Luskin Microbiome Center Elaine Hsiao, who is the senior author of a paper describing the research in the journal Cell Host & Microbe.

Mercury is a pollutant that enters water from several sources, the largest of which are human activities such as coal burning, artisanal gold mining and smelting, and wastes from consumer products. In the ocean, transforms into a toxic form called methylmercury. It also biomagnifies, meaning that methylmercury concentrations in animal tissues increase up the food chain from algae-eaters to top predators like humans.

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Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence (AI) model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data.

AI often struggles with analyzing complex information that unfolds over long periods of time, such as climate trends, biological signals, or financial data. One new type of AI model called “state-space models” has been designed specifically to understand these sequential patterns more effectively. However, existing state-space models often face challenges—they can become unstable or require a significant amount of computational resources when processing long data sequences.

To address these issues, CSAIL researchers T. Konstantin Rusch and Daniela Rus have developed what they call “linear oscillatory state-space models” (LinOSS), which leverage principles of forced harmonic oscillators—a concept deeply rooted in physics and observed in .

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Patreon: https://bit.ly/3v8OhY7

Michael Levin is a Distinguished Professor in the Biology Department at Tufts University, where he holds the Vannevar Bush endowed Chair, and he is also associate faculty at the Wyss Institute at Harvard University. Michael and the Levin Lab work at the intersection of biology, artificial life, bioengineering, synthetic morphology, and cognitive science. Michael also appeared on the show in episode #151, which was all about synthetic life and collective intelligence. In this episode, Michael and Robinson discuss the nature of cognition, working with Daniel Dennett, how cognition can be realized by different structures and materials, how to define robots, a new class of robot called the Anthrobot, and whether or not we have moral obligations to biological robots.

The Levin Lab: https://drmichaellevin.org/

OUTLINE
00:00 Introduction.
02:14 What is Cognition?
08:01 On Working with Daniel Dennett.
13:17 Gatekeeping in Cognitive Science.
25:15 The Multi-Realizability of Cognition.
31:30 What are Anthrobots?
39:33 What Are Robots, Really?
59:53 Do We Have Moral Obligations to Biological Robots?

Robinson’s Website: ⁠http://robinsonerhardt.com⁠

Robinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University. Join him in conversations with philosophers, scientists, weightlifters, artists, and everyone in-between.

Continue reading “Michael Levin: The New Era of Cognitive Biorobotics | Robinson’s Podcast #187” | >

Scientists from The University of Manchester have changed our understanding of how cells in living organisms divide, which could revise what students are taught at school. In a study published today in Science, the researchers challenge conventional wisdom taught in schools for over 100 years.

Students are currently taught that during , a parent cell will become spherical before splitting into two of equal size and . However, the study reveals that cell rounding is not a universal feature of cell division and is not how it often works in the body.

Dividing cells, the researchers show, often don’t round up into sphere-like shapes. This lack of rounding breaks the symmetry of division to generate two daughter cells that differ from each other in both size and function, known as asymmetric division.

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Comets that have hit Earth have been a mixed bag. Early in Earth’s history, during the solar system’s chaotic beginning, they were likely the source of our planet’s water, ultimately making up about 0.02% of the planet’s mass. (Mars and Venus received a similar fraction.)

Comets brought complex organic molecules and the biosphere, but later posed a threat to the same in cometary collisions. A (or asteroid) likely caused the Tunguska Event in 1908 in Russia, and a comet fragment likely triggered the rapid climate shift of the Younger Dryas 12,800 years ago, with its widespread extinctions.

If such collisions happen here, they likely take place in other solar systems as well. Now three scientists in the United Kingdom have modeled the impacts of an icy cometary collision with an Earth-like, tidally locked terrestrial planet. Such objects are prime candidates in the search for habitable exoplanets outside our solar system.

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Schavemaker and Lynch derived functions that relate the cell biology of endomembranes to cellular fitness. Applied to the pinocytosis of small-molecule nutrients and the insertion of membrane proteins by a proto-endoplasmic reticulum, the proto-endoplasmic reticulum is revealed to be the more likely path to complex endomembranes in the origin of eukaryotes.

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