Science Fiction…for now.
I’m not a natural “doomsayer.” But unfortunately, part of my job as an AI safety researcher is to think about the more troubling scenarios.
I’m like a mechanic scrambling last-minute checks before Apollo 13 takes off. If you ask for my take on the situation, I won’t comment on the quality of the in-flight entertainment, or describe how beautiful the stars will appear from space.
A new technology developed at MIT enables scientists to label proteins across millions of individual cells in fully intact 3D tissues with unprecedented speed, uniformity, and versatility. Using the technology, the team was able to richly label large tissue samples in a single day. In their new study in Nature Biotechnology, they also demonstrate that the ability to label proteins with antibodies at the single-cell level across large tissue samples can reveal insights left hidden by other widely used labeling methods.
Profiling the proteins that cells are making is a staple of studies in biology, neuroscience, and related fields because the proteins a cell is expressing at a given moment can reflect the functions the cell is trying to perform or its response to its circumstances, such as disease or treatment. As much as microscopy and labeling technologies have advanced, enabling innumerable discoveries, scientists have still lacked a reliable and practical way of tracking protein expression at the level of millions of densely packed individual cells in whole, 3D intact tissues. Often confined to thin tissue sections under slides, scientists therefore haven’t had tools to thoroughly appreciate cellular protein expression in the whole, connected systems in which it occurs.
“Conventionally, investigating the molecules within cells requires dissociating tissue into single cells or slicing it into thin sections, as light and chemicals required for analysis cannot penetrate deep into tissues. Our lab developed technologies such as CLARITY and SHIELD, which enable investigation of whole organs by rendering them transparent, but we now needed a way to chemically label whole organs to gain useful scientific insights,” says study senior author Kwanghun Chung, associate professor in The Picower Institute for Learning and Memory, the departments of Chemical Engineering and Brain and Cognitive Sciences, and the Institute for Medical Engineering and Science at MIT. “If cells within a tissue are not uniformly processed, they cannot be quantitatively compared. In conventional protein labeling, it can take weeks for these molecules to diffuse into intact organs, making uniform chemical processing of organ-scale tissues virtually impossible and extremely slow.”
Posted in biological, biotech/medical, chemistry, genetics | Leave a Comment on Viewpoint: The ‘post genomic era’ reveals nothing less than a new biology. We just don’t know how to talk about it
Y ou could be forgiven for thinking that the turn of the millennium was a golden age for the life sciences. After the halcyon days of the 1950s and ’60s when the structure of DNA, the true nature of genes and the genetic code itself were discovered, the Human Genome Project, launched in 1990 and culminating with a preliminary announcement of the entire genome sequence in 2000, looked like – and was presented as – a comparably dramatic leap forward in our understanding of the basis of life itself. As Bill Clinton put it when the draft sequence was unveiled: ‘Today we are learning the language in which God created life.’ Portentous stuff.
The genome sequence reveals the order in which the chemical building blocks (of which there are four distinct types) that make up our DNA are arranged along the molecule’s double-helical strands. Our genomes each have around 3 billion of these ‘letters’; reading them all is a tremendous challenge, but the Human Genome Project (HGP) transformed genome sequencing within the space of a couple of decades from a very slow and expensive procedure into something you can get done by mail order for the price of a meal for two.
Since that first sequence was unveiled in 2000, hundreds of thousands of human genomes have now been decoded, giving an indication of the person-to-person variation in sequence. This information has provided a vital resource for biomedicine, enabling us, for example, to identify which parts of the genome correlate with which diseases and traits. And all that investment in gene-sequencing technology was more than justified merely by its use for studying and tracking the SARS-CoV-2 virus during the COVID-19 pandemic.
Croatia’s first ever satellite has just beamed to Earth the first image of its homeland.
The satellite, called CroCube, is a 1U cubesat 3.3 by 3.3 by 3.3 inches (10 × 10 × 10 centimeters) in size. It launched to space aboard a SpaceX Falcon 9 rocket in late December on the company’s Bandwagon-2 rideshare mission.
We review the rapid recent progress in single-photon sources based on multiplexing multiple probabilistic photon-creation events. Such multiplexing allows higher single-photon probabilities and lower contamination from higher-order photon states. We study the requirements for multiplexed sources and compare various approaches to multiplexing using different degrees of freedom.
The surgery brings patients with kidney failure one step closer to another treatment option.
Here we report on the collaboration of Open AI and Retro Biotech using GPT-4b to investigate ways to improve the efficacy of the Yamanaka factors in reprogramming cells.
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Physicists measured how readily a current of electron pairs flows through “magic-angle” graphene, a major step toward understanding how this unusual material superconducts.
Kavli IPMU Professor John Silverman said, “Vera Rubin provided the first evidence for dark matter using the rotation curves of nearby local galaxies. We’re using the same technique but now in the early Universe.”
Blue-shifted (towards researchers) and redshifted (away) gas show velocity changes in the galaxy. Unlike past studies, which showed less dark matter in the galaxy’s outskirts, their data shows a flat rotation curve, indicating that more dark matter is needed for high velocities.
These findings shed light on the relationship between dark matter and supermassive black holes, helping us understand galaxy evolution from the early Universe to today.
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