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Roles of lysosomal small-molecule transporters in metabolism and signaling

Small-molecule transporters of the lysosomal membrane export lysosomal catabolites for reuse in cell metabolism.

These transporters often show substrate promiscuity and, conversely, a given metabolite is often exported through distinct transport routes and sometimes in different states (e.g., single amino acids versus dipeptides).

Some lysosomal transporters import metabolites into the lumen. The combination of importers and exporters can create small-molecule shuttles across the lysosomal membrane, which regulate the lumen state.

Some lysosomal transporters participate in intracellular signaling cascades. sciencenewshighlights ScienceMission https://sciencemission.com/lysosomal-small-molecule-transporters


Lysosomes degrade damaged or unwanted cell/tissue components and recycle their building blocks through small-molecule transporters of the lysosomal membrane. They also act as signaling hubs that sense and signal internal cues, such as amino acids, to coordinate cell responses. Recently, the activity of several lysosomal metabolite transporters has been elucidated, bringing new insights into lysosomal functions. Cell biological and structural studies of lysosomal transporters have also highlighted their roles in recruiting signaling complexes to lysosomes and delineated how their substrates gate such hybrid transporter/receptor, or ‘transceptor’, function.

This Physicist (Unexpectedly) Derived Gravity from Information

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What if gravity is just entropy in disguise? Professor Erik Verlinde joins me to argue that gravity isn’t a fundamental force—it’s thermodynamic, emerging from quantum information the way gas pressure emerges from molecules bouncing around. We explore why spacetime may be stitched together by entanglement, and how dark energy and dark matter both pop out automatically without extra particles or parameters. Verlinde explains why the cosmological constant problem is a red herring, and why there may be no final theory of physics. When asked where the universe comes from, his answer is one word: chaos.

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  • 00:00:00 — Thermodynamic Gravity and Information
  • 00:06:35 — Beyond Effective Field Theory
  • 00:13:08 — Turtles All The Way Down
  • 00:25:41 — Entropy as a Force
  • 00:36:31 — Entanglement and Spatial Connectivity
  • 00:47:31 — Deriving Inertia and F=ma
  • 00:56:41 — De Sitter Space Challenges
  • 01:02:01 — Dark Matter and Milgram
  • 01:11:51 — The Emergence of Time
  • 01:21:01 — Statistical Gravity Fluctuations
  • 01:27:01 — Quantum Computational Complexity
  • 01:36:01 — Physics Intuition and Mentorship
  • 01:47:31 — Beauty, Garbage, and Chaos

LINKS MENTIONED: Papers, books, websites:

Videos:

  • • A 2 Hour Deep Dive into Entropy
  • • The Mathematics of String Theory [Graduate…
  • • The Debate That Divides Physics: Is the Un…
  • • The Physicist Who Found Quantum Theory’s U…
  • • Retrocausality & The Transactional Interpr…
  • • The Physicist Who Proved Entropy = Gravity
  • • The Physicist Who Says Time Doesn’t Exist
  • • The Most Astonishing Theory of Black Holes
  • • The (Simple) Theory That Explains Everythi…
  • • The Crisis in String Theory is Worse Than…
  • • Dark Dimensions: NEW THEORY Unifying Dark…
  • • MIT Scientist’s Discovery: “Black Holes Mi…
  • • The Woman Who Broke Gravity | Claudia de Rham
  • • Solving the Problem of Consciousness | Ste…
  • • Frederic Schuller: The Physicist Who Deriv…
  • • The Loop Quantum Gravity Debacle: Carlo Ro…
  • • An (Elementary) Introduction to Quantum Co…
  • • Can Physics Explain Its Own Laws?
  • • The Nobel Laureate Who (Also) Says Quantum…
  • • This Cosmologist Discovered Something Stra…
  • • Michael Levin: Consciousness, Biology, Uni…

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TIMESTAMPS: 00:00:00 — Thermodynamic Gravity and Information 00:06:35 — Beyond Effective Field Theory 00:13:08 — Turtles All The Way Down 00:25:41 — Entropy as a Force 00:36:31 — Entanglement and Spatial Connectivity 00:47:31 — Deriving Inertia and F=ma 00:56:41 — De Sitter Space Challenges 01:02:01 — Dark Matter and Milgram 01:11:51 — The Emergence of Time 01:21:01 — Statistical Gravity Fluctuations 01:27:01 — Quantum Computational Complexity 01:36:01 — Physics Intuition and Mentorship 01:47:31 — Beauty, Garbage, and Chaos.

Researchers use AI to break the rules of nature and create a living organism that lacks a fundamental building block of life — the first synthetic 19-amino acid life form is here

Scientists just made the first ever observed organism with fewer than 20 amino acids in its make-up, and it was made possible by AI.

Scientists Changed a Lifeform’s Fundamental Code. It Shouldn’t Have Survived—but It Did

Life—at least, as we know it—needs 20 amino acids, which it combines into the proteins that build living tissues. How life actually arrived at a minimum of 20 canonical amino acids (CAAs) in its journey from primordial ooze, however, is still a mystery. Some microbial species use up to 22 amino acids, but no species on Earth uses fewer than 20.

However, that may not have always been the case. Curious about how the precursors of life may have made it on a hostile young Earth before LUCA (the Last Universal Common Ancestor of all organisms) finally came into being, a team of researchers from Columbia University set out to see whether microbes emerging back then could have possibly run on fewer than 20 amino acids.

How brain cells compete to shape our minds from development to aging

In a recently published review, researchers led by Prof. Wu Qingfeng at the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences explored the ongoing process of neural cell competition (NCC), a fundamental mechanism that shapes the brain across the lifespan.

The review is published in National Science Review, and provides fresh insights into how continuously “compete” for survival and how this competition impacts brain development, wiring, function, and aging.

Although neural cell competition is widely recognized for its role during early , Prof. Wu’s team demonstrated that this process continues to be vital throughout life. They revealed that NCC not only helps maintain healthy brain function but also contributes to when disrupted.

The Ant and the Absolute: How Feynman Discovered Bio-Computing in a Sink

Why does an ant, with a brain smaller than a grain of sand, find the shortest path better than a human engineer?

Richard Feynman didn’t learn about ants from a textbook. He learned by sitting on his bathroom floor with a sugar cube and a stopwatch. What he discovered wasn’t just biology—it was a biological supercomputer solving the \.

Inspired by the brain, researchers build smarter and more efficient computer hardware

As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions about sustainability.

The solution may lie in neuromorphic computing, an approach that reimagines computer hardware to process information more like biological neural networks rather than conventional chips.

“One of the brain’s greatest advantages is its efficiency,” Suchi Guha, a professor of physics in Mizzou’s College of Arts and Science, said. “It performs incredibly complex tasks using about 20 watts of power—roughly the same as an old light bulb. By comparison, today’s computer architecture is extremely energy-intensive.”

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