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Showing posts with label living. Show all posts
Showing posts with label living. Show all posts

Wednesday, January 15, 2020

Living robots built using frog cells

African clawed frog, Xenopus laevis (stock image). | Credit: (c) Ezume Images / stock.adobe.com
African clawed frog, Xenopus laevis (stock image).

A book is made of wood. But it is not a tree. The dead cells have been repurposed to serve another need.
Now a team of scientists has repurposed living cells -- scraped from frog embryos -- and assembled them into entirely new life-forms. These millimeter-wide "xenobots" can move toward a target, perhaps pick up a payload (like a medicine that needs to be carried to a specific place inside a patient) -- and heal themselves after being cut.
"These are novel living machines," says Joshua Bongard, a computer scientist and robotics expert at the University of Vermont who co-led the new research. "They're neither a traditional robot nor a known species of animal. It's a new class of artifact: a living, programmable organism."
The new creatures were designed on a supercomputer at UVM -- and then assembled and tested by biologists at Tufts University. "We can imagine many useful applications of these living robots that other machines can't do," says co-leader Michael Levin who directs the Center for Regenerative and Developmental Biology at Tufts, "like searching out nasty compounds or radioactive contamination, gathering microplastic in the oceans, traveling in arteries to scrape out plaque."
The results of the new research were published January 13 in the Proceedings of the National Academy of Sciences.
Bespoke Living Systems
People have been manipulating organisms for human benefit since at least the dawn of agriculture, genetic editing is becoming widespread, and a few artificial organisms have been manually assembled in the past few years -- copying the body forms of known animals.
But this research, for the first time ever, "designs completely biological machines from the ground up," the team writes in their new study.
With months of processing time on the Deep Green supercomputer cluster at UVM's Vermont Advanced Computing Core, the team -- including lead author and doctoral student Sam Kriegman -- used an evolutionary algorithm to create thousands of candidate designs for the new life-forms. Attempting to achieve a task assigned by the scientists -- like locomotion in one direction -- the computer would, over and over, reassemble a few hundred simulated cells into myriad forms and body shapes. As the programs ran -- driven by basic rules about the biophysics of what single frog skin and cardiac cells can do -- the more successful simulated organisms were kept and refined, while failed designs were tossed out. After a hundred independent runs of the algorithm, the most promising designs were selected for testing.
Then the team at Tufts, led by Levin and with key work by microsurgeon Douglas Blackiston -- transferred the in silico designs into life. First they gathered stem cells, harvested from the embryos of African frogs, the species Xenopus laevis. (Hence the name "xenobots.") These were separated into single cells and left to incubate. Then, using tiny forceps and an even tinier electrode, the cells were cut and joined under a microscope into a close approximation of the designs specified by the computer.
Assembled into body forms never seen in nature, the cells began to work together. The skin cells formed a more passive architecture, while the once-random contractions of heart muscle cells were put to work creating ordered forward motion as guided by the computer's design, and aided by spontaneous self-organizing patterns -- allowing the robots to move on their own.
These reconfigurable organisms were shown to be able move in a coherent fashion -- and explore their watery environment for days or weeks, powered by embryonic energy stores. Turned over, however, they failed, like beetles flipped on their backs.
Later tests showed that groups of xenobots would move around in circles, pushing pellets into a central location -- spontaneously and collectively. Others were built with a hole through the center to reduce drag. In simulated versions of these, the scientists were able to repurpose this hole as a pouch to successfully carry an object. "It's a step toward using computer-designed organisms for intelligent drug delivery," says Bongard, a professor in UVM's Department of Computer Science and Complex Systems Center.
Living Technologies
Many technologies are made of steel, concrete or plastic. That can make them strong or flexible. But they also can create ecological and human health problems, like the growing scourge of plastic pollution in the oceans and the toxicity of many synthetic materials and electronics. "The downside of living tissue is that it's weak and it degrades," say Bongard. "That's why we use steel. But organisms have 4.5 billion years of practice at regenerating themselves and going on for decades." And when they stop working -- death -- they usually fall apart harmlessly. "These xenobots are fully biodegradable," say Bongard, "when they're done with their job after seven days, they're just dead skin cells."
Your laptop is a powerful technology. But try cutting it in half. Doesn't work so well. In the new experiments, the scientists cut the xenobots and watched what happened. "We sliced the robot almost in half and it stitches itself back up and keeps going," says Bongard. "And this is something you can't do with typical machines."
Cracking the Code
Both Levin and Bongard say the potential of what they've been learning about how cells communicate and connect extends deep into both computational science and our understanding of life. "The big question in biology is to understand the algorithms that determine form and function," says Levin. "The genome encodes proteins, but transformative applications await our discovery of how that hardware enables cells to cooperate toward making functional anatomies under very different conditions."
To make an organism develop and function, there is a lot of information sharing and cooperation -- organic computation -- going on in and between cells all the time, not just within neurons. These emergent and geometric properties are shaped by bioelectric, biochemical, and biomechanical processes, "that run on DNA-specified hardware," Levin says, "and these processes are reconfigurable, enabling novel living forms."
The scientists see the work presented in their new PNAS study -- "A scalable pipeline for designing reconfigurable organisms," -- as one step in applying insights about this bioelectric code to both biology and computer science. "What actually determines the anatomy towards which cells cooperate?" Levin asks. "You look at the cells we've been building our xenobots with, and, genomically, they're frogs. It's 100% frog DNA -- but these are not frogs. Then you ask, well, what else are these cells capable of building?"
"As we've shown, these frog cells can be coaxed to make interesting living forms that are completely different from what their default anatomy would be," says Levin. He and the other scientists in the UVM and Tufts team -- with support from DARPA's Lifelong Learning Machines program and the National Science Foundation -- believe that building the xenobots is a small step toward cracking what he calls the "morphogenetic code," providing a deeper view of the overall way organisms are organized -- and how they compute and store information based on their histories and environment.
Future Shocks
Many people worry about the implications of rapid technological change and complex biological manipulations. "That fear is not unreasonable," Levin says. "When we start to mess around with complex systems that we don't understand, we're going to get unintended consequences." A lot of complex systems, like an ant colony, begin with a simple unit -- an ant -- from which it would be impossible to predict the shape of their colony or how they can build bridges over water with their interlinked bodies.
"If humanity is going to survive into the future, we need to better understand how complex properties, somehow, emerge from simple rules," says Levin. Much of science is focused on "controlling the low-level rules. We also need to understand the high-level rules," he says. "If you wanted an anthill with two chimneys instead of one, how do you modify the ants? We'd have no idea."
"I think it's an absolute necessity for society going forward to get a better handle on systems where the outcome is very complex," Levin says. "A first step towards doing that is to explore: how do living systems decide what an overall behavior should be and how do we manipulate the pieces to get the behaviors we want?"
In other words, "this study is a direct contribution to getting a handle on what people are afraid of, which is unintended consequences," Levin says -- whether in the rapid arrival of self-driving cars, changing gene drives to wipe out whole lineages of viruses, or the many other complex and autonomous systems that will increasingly shape the human experience.
"There's all of this innate creativity in life," says UVM's Josh Bongard. "We want to understand that more deeply -- and how we can direct and push it toward new forms."

Story Source:
Materials provided by University of Vermont. Original written by Joshua E. Brown. Note: Content may be edited for style and length.

Sunday, December 1, 2019

Extinct giant ape directly linked to the living orangutan

Modern-day orangutan

By using ancient protein sequencing, researchers have retrieved genetic information from a 1.9 million year old extinct, giant primate that used to live in a subtropical area in southern China. The genetic information allows the researchers to uncover the evolutionary position of Gigantopithecus blacki, a three-meter tall and may be up to 600 kg heavy primate, revealing the orangutan as its closest, living relative.
It is the first time that genetic material this old has been retrieved from a warm, humid environment. The study is published in the scientific journal Nature, and the results are groundbreaking within the field of evolutionary biology, according to Frido Welker, Postdoc at the Globe Institute at the Faculty of Health and Medical Sciences and first author of the study.
'Primates are relatively close to humans, evolutionary speaking. With this study, we show that we can use protein sequencing to retrieve ancient genetic information from primates living in subtropical areas even when the fossil is two million years old. Until now, it has only been possible to retrieve genetic information from up to 10,000-year-old fossils in warm, humid areas. This is interesting, because ancient remains of the supposed ancestors of our species, Homo sapiens, are also mainly found in subtropical areas, particularly for the early part of human evolution. This means that we can potentially retrieve similar information on the evolutionary line leading to humans', says Frido Welker.
Today, scientists know that the human and the chimpanzee lineages split around seven or eight million years ago. With the previous methodologies though, they could only retrieve human genetic information not older than 400,000 years. The new results show the possibility to extend the genetic reconstruction of the evolutionary relationships between our species and extinct ones further back in time, at least up to two million years -- covering a much larger portion of the entire human evolution.
Analyzing ancient dental enamel proteins using mass spectrometry-based proteomics
In a recent study, also published on Nature, Enrico Cappellini, Associate Professor at the Globe Institute and senior author on this study, initially demonstrated, together with an international team of colleagues, the massive potential of ancient protein sequencing.
'By sequencing proteins retrieved from dental enamel about two million years old, we showed it is possible to confidently reconstruct the evolutionary relationships of animal species that went extinct too far away in time for their DNA to survive till now. In this study, we can even conclude that the lineages of orangutan and Gigantopithecus split up about 12 million years ago', says Enrico Cappellini.
Sequencing protein remains two million years old was made possible by stretching to its limits the technology at the base of proteomic discovery: mass spectrometry. State of the art mass spectrometers and the top palaeoproteomics expertise needed to get the best out of such sophisticated instrumentation are key resources deriving from the decade-long strategic collaboration with Jesper Velgaard Olsen, Professor at Novo Nordisk Foundation Center for Protein Research and co-author on this study.
The mystery of Gigantopithecus
The fossil evidence attributed to Gigantopithecus was initially discovered in southern China in 1935, and it is currently limited to just a few lower jaws and lots of teeth. No complete skull and no other bone from the rest of the skeleton has been found so far. As a result, there has been a lot of speculation about the physical appearance of this mysterious animal.
'Previous attempts to understand which could be the living organism most similar to Gigantopithecus could only be based on the comparison of the shape of the fossils with skeletal reference material from living great apes. Ancient DNA analysis was not an option, because Gigantopithecus went extinct approximately 300,000 years ago, and in the geographic area Gigantopithecus occupied no DNA older than approximately 10,000 years has been retrieved so far. Accordingly, we decided to sequence dental enamel proteins to reconstruct its evolutionary relation with living great apes, and we found that orangutan is Gigantopithecus' closest living relative', says Enrico Cappellini.
The study of human evolution by palaeoproteomics will continue in the next years through the recently established "Palaeoproteomics to Unleash Studies on Human History (PUSHH)" Marie Sk?odowska Curie European Training Network (ETN) Programme.
The research is funded mainly by VILLUM FONDEN, the Novo Nordisk Foundation, and the Marie Sklowowska-Curie Actions Individual Fellowship and International Training Network programmes.

Story Source:
Materials provided by University of Copenhagen The Faculty of Health and Medical SciencesNote: Content may be edited for style and length.

Saturday, November 16, 2019

Extinct giant ape directly linked to the living orangutan

Modern day orangutan

By using ancient protein sequencing, researchers have retrieved genetic information from a 1.9 million year old extinct, giant primate that used to live in a subtropical area in southern China. The genetic information allows the researchers to uncover the evolutionary position of Gigantopithecus blacki, a three-meter tall and may be up to 600 kg heavy primate, revealing the orangutan as its closest, living relative.
It is the first time that genetic material this old has been retrieved from a warm, humid environment. The study is published in the scientific journal Nature, and the results are groundbreaking within the field of evolutionary biology, according to Frido Welker, Postdoc at the Globe Institute at the Faculty of Health and Medical Sciences and first author of the study.
'Primates are relatively close to humans, evolutionary speaking. With this study, we show that we can use protein sequencing to retrieve ancient genetic information from primates living in subtropical areas even when the fossil is two million years old. Until now, it has only been possible to retrieve genetic information from up to 10,000-year-old fossils in warm, humid areas. This is interesting, because ancient remains of the supposed ancestors of our species, Homo sapiens, are also mainly found in subtropical areas, particularly for the early part of human evolution. This means that we can potentially retrieve similar information on the evolutionary line leading to humans', says Frido Welker.
Today, scientists know that the human and the chimpanzee lineages split around seven or eight million years ago. With the previous methodologies though, they could only retrieve human genetic information not older than 400,000 years. The new results show the possibility to extend the genetic reconstruction of the evolutionary relationships between our species and extinct ones further back in time, at least up to two million years -- covering a much larger portion of the entire human evolution.
Analyzing ancient dental enamel proteins using mass spectrometry-based proteomics
In a recent study, also published on Nature, Enrico Cappellini, Associate Professor at the Globe Institute and senior author on this study, initially demonstrated, together with an international team of colleagues, the massive potential of ancient protein sequencing.
'By sequencing proteins retrieved from dental enamel about two million years old, we showed it is possible to confidently reconstruct the evolutionary relationships of animal species that went extinct too far away in time for their DNA to survive till now. In this study, we can even conclude that the lineages of orangutan and Gigantopithecus split up about 12 million years ago', says Enrico Cappellini.
Sequencing protein remains two million years old was made possible by stretching to its limits the technology at the base of proteomic discovery: mass spectrometry. State of the art mass spectrometers and the top palaeoproteomics expertise needed to get the best out of such sophisticated instrumentation are key resources deriving from the decade-long strategic collaboration with Jesper Velgaard Olsen, Professor at Novo Nordisk Foundation Center for Protein Research and co-author on this study.
The mystery of Gigantopithecus
The fossil evidence attributed to Gigantopithecus was initially discovered in southern China in 1935, and it is currently limited to just a few lower jaws and lots of teeth. No complete skull and no other bone from the rest of the skeleton has been found so far. As a result, there has been a lot of speculation about the physical appearance of this mysterious animal.
'Previous attempts to understand which could be the living organism most similar to Gigantopithecus could only be based on the comparison of the shape of the fossils with skeletal reference material from living great apes. Ancient DNA analysis was not an option, because Gigantopithecus went extinct approximately 300,000 years ago, and in the geographic area Gigantopithecus occupied no DNA older than approximately 10,000 years has been retrieved so far. Accordingly, we decided to sequence dental enamel proteins to reconstruct its evolutionary relation with living great apes, and we found that orangutan is Gigantopithecus' closest living relative', says Enrico Cappellini.
The study of human evolution by palaeoproteomics will continue in the next years through the recently established "Palaeoproteomics to Unleash Studies on Human History (PUSHH)" Marie Sk?odowska Curie European Training Network (ETN) Programme.
The research is funded mainly by VILLUM FONDEN, the Novo Nordisk Foundation, and the Marie Sklowowska-Curie Actions Individual Fellowship and International Training Network programmes.

Story Source:
Materials provided by University of Copenhagen The Faculty of Health and Medical SciencesNote: Content may be edited for style and length.

Saturday, May 25, 2019

Why when person yawns does another.


Next time you're sitting near someone who yawns, try this: Don't yawn. Odds are, you'll find that it's pretty difficult to hold back.
The reason that it's hard to stifle a yawn — especially when someone nearby is doing it and you're trying hard not to — appears to reside in the area of the brain that's responsible for motor function, a new study from England finds.
Scientists refer to the urge to yawn when you see someone else doing it as contagious yawning. This is a type of "echophenomenon." In other words, it's an automatic imitation of another person, according to the study, published online today (Aug. 31) in the journal Current Biology. Other types of echophenomena include "echolalia" (imitation of someone's words) and "echopraxia" (imitation of someone's actions.