CRISPR

A drop of blood on filter paper preserves not only cells but also a record of what has been happening to the body over the past few months. That record is not in the genes but on them: the chemical marks cells attach to DNA change with food, stress, illness and age. Scientists have learned to read this archive tape to reconstruct a picture of health without repeated trips to the lab.

As you slowly turn the tuning knob of an old radio, the sound doesn't fade in gradually from the static: it bursts forth in a sudden jump, the moment the antenna hits resonance with the wave. Genes in a living cell behave much the same way.

Two scans of the same brain taken at different times are like photographs of the same house before and after renovation. To see what changed, you overlay them and look at the differences. But an MRI scanner is not a perfect camera: it adds its own distortions, as if the photo were taken through slightly warped glass.

A huge orchestra without a conductor. Each musician is a gene, and the melody is the cell's complex work. Previously, looking at a tissue photo, a computer tried to guess each instrument's part individually. It didn't know that violins usually play with violas, and trumpets with trombones. The program just output a list of notes, without sensing the harmony.

A huge orchestra without a conductor. Each musician is a gene, and the melody is the cell's complex work. Previously, looking at a tissue photo, a computer tried to guess each instrument's part individually. It didn't know that violins usually play with violas, and trumpets with trombones. The program just output a list of notes, without sensing the harmony.

A bacterial biofilm is like a city made of slime. The houses are the microbes themselves. The streets and bridges are long polymer molecules that bacteria secrete outside. This whole construction is not static: the bridges are constantly breaking and re-forming. The authors built a "toy" computer model of such a city.

Imagine a spiral staircase with balls rolling down. Some are twisted to the right, others to the left. The steps are arranged so that right-twisted balls slip through faster, while left-twisted ones get stuck. Something similar happens inside helical molecules — for example, in the double helix of DNA.

A pebble on a streambed lies still as sunlight sparkles dance on the water's surface. In astronomy, the contrast is similar: a real exoplanet is the stone, while myriad speckles (patches of scattered starlight) are the ripples trembling in instruments.

When biologists measure the activity of thousands of genes, they usually just see a list of coincidences, like two ingredients in a soup that often end up together. The standard method looks for such pairwise connections but doesn't show who influences whom. A new approach, like a detector of dark matter, uncovers hidden threads of causation.

The cells of an organism are like twin chefs sharing a kitchen. They have the same cookbook (DNA), but when copying the recipe to a cheat sheet and assembling the dish, random errors occur. This unpredictability, entropy, means that in identical cells, protein levels are sometimes high, sometimes low.

In the depths of the Universe, when a massive star collapses into a black hole or a magnetar is born, a gamma-ray burst flares up — for an instant, it outshines all the stars in the observable Universe.

You get a report: one 'letter' in your gene has been swapped. But what does that change? A protein isn't a flat string: it's a dense tangle, where each loop sits in its own pocket. A change deep inside that tangle is like a crack in the foundation, while one on the surface is like a scratch on the facade.

A child builds a simple game in Scratch: a character appears in the center and instantly jumps to a corner. The first move happens between frames — no one sees it. Removing that command is safe. But how does an automatic optimization optimizer know that? Today, the Scratch repository holds tens of millions of projects written by young authors.

A lab robot counts molecules, and gets it wrong. One tube shows 0, another 12, a third 3, though in reality they all hold roughly the same amount. Such 'raw' numbers are common in biology: DNA sequencing, counting species in a water sample, gene activity. There's plenty of data, but it's sparse and more scattered than simple randomness would predict.

A patchwork quilt where each patch is a recording of activity from a small brain region. One patch was stitched on Monday in London, another on Tuesday in New York, and a third a month ago in Tokyo. This mosaic covers the brain only partially, and there is no common seam to join them.

A bunch of keys lies on the table: each opens only one lock. In living cells, nanobodies often play the role of such keys: tiny antibody fragments that stick to strictly defined proteins. They can be used to deliver a drug exactly to a diseased cell or to block a harmful process.

A lab sends a robot a list of a thousand candidate molecules for a new drug. The predictor robot, trained on old data, gives each one a 'fit or no fit' score. But when the list comes from an unfamiliar area, a different virus or a rare tumor, the robot starts to get confused. Its confidence stays high, while actual hits drop to zero.

An engineer building a bridge cannot strengthen one beam without affecting the load on adjacent ones. Drug development works similarly: a molecule must fit snugly into the 'pocket' of a target protein, like a key in a lock, while also being safe, stable, and convenient to administer.

A photographer shoots a runner with a long exposure and gets a blurry silhouette. That's roughly how a standard MRI scanner "sees" moving organs: the heart contracts, the lungs breathe, and the image smears. To avoid this, patients are asked to freeze and hold their breath. But for a child or someone short of breath, that's nearly impossible. The method called GRASP tackles the problem differently.

A torn telephone wire is a nuisance, but a torn DNA is a catastrophe. A double-strand break, when both strands of the helix snap at the same spot, threatens the cell with death or transformation into cancer. Fortunately, the cell has its own 'glue': special proteins that gather into a droplet right at the accident site.

A translator doesn't learn a language from a textbook but by listening to live speech and immediately seeing what people do in response to words. That's exactly how the new method C3P reads bacterial DNA. Standard genomic models try to learn the rules by simply "rereading" billions of letters of the genetic code, and often get confused.

Molecules float in a test tube. Their abundance (say, the concentration of some protein) becomes the input signal. And the output isn't just a cloudy solution but a clear yes-or-no answer. The authors build a chemical cascade that does exactly that.

Under sunlight, molecules inside bacteria, like the beaters of a kitchen mixer, capture energy and spin electrons in the right direction. But sometimes the spin gets disrupted — 'stuck' triplet particles appear. It's as if the beater momentarily froze and then jerked backward, splashing hot liquid and scalding the walls.

A microscopic image of tissue is like a city map: streets, houses, parks. An experienced eye can tell a lot about a neighborhood from such a map. But what if you could predict from the map which houses are noisy today and which are quiet?

An orchestra where each musician plays their own part but hears only the neighbor. One wrong note, and a wave of errors rolls through the hall. That's how Ising machines work — special devices for solving problems where you need to find the best option among many.

An orchestra without a conductor. Each musician plays their own part, and the overall volume builds, but the melody falls apart — violins rush ahead, brass lags behind. Cells behave much the same way when their DNA is modified: they may shift, but some move far, while others stay put.

The RNA of SARS-CoV-2 is not just a chain but a complex structure. It contains a region that ties itself into a knot, much like a tangled shoelace. This knot helps the virus produce two proteins from a single stretch of genetic code. Without such a knot, the virus replicates less efficiently, so scientists are hunting for compounds that can undo it.

In a growing bacterium, genes that run protein factories don't drift solo. They clump into liquid droplets, like oily smears in water — no membranes, but sharp boundaries. The NusA protein fuels this condensation. When it piles up, it glues neighboring DNA stretches together, forcing them into foci.

DNA is a long carbon necklace made of four types of beads. Biologists often need to compare two strands to find differences. Normally this requires a lengthy brute-force search. Researchers came up with a clever trick: encode each bead as an arrow that rotates based on its neighbors. The idea came from language models, where words also 'know' context.

Geneticists read DNA like a long list of letters. From it, they compute a "polygenic risk score" — a number that shows how much higher or lower a person's chance of getting a disease, like diabetes, is compared to average.

When you cut your finger, skin cells start working in concert: some divide, others crawl toward the wound, and still others pause. But exactly how a cell decides what to do next depends on its internal "schedule"—the cell cycle.

Cancer cells are like broken cars: one glitch makes them drive without stopping. In the KRAS gene, such glitches happen most often. But glitches come in different flavors: the wrong amino acid can sit in one spot of the protein, and that determines how the tumor behaves. In the new study, two such glitches were compared: G12C and G12D.

When chemists see how concentrations of substances change, they need to figure out which reactions are behind those changes. It's like trying to reconstruct a recipe from photos of plates at different stages of a meal. Previously, this often involved derivatives — instantaneous rates of concentration change.

Our body's tissue is like a city: different neighborhoods are home to different cells, each with its own job. To understand how this city is organized, biologists take images showing which genes are active at each spot. But sharp images are expensive, and cheap ones come out blurry, like a photo of a city from high above, where individual buildings are hard to make out.

A thick slice of tissue under a microscope looks like fogged glass: light scatters and details are lost. Usually, to see cells, you stain them or cut them into very thin slices. But there's a simpler way — make the slice itself transparent, as if you've wiped the glass clean.

Searching for a new drug is like matching a key to a lock. The protein in a cell is the lock, and the candidate molecule is the key. You need to know whether the key fits and how snugly it sits. Previously, the computer would examine every atom in the lock and the key to check this. A single lock could take hours or even days. Checking millions of keys was out of the question.

In a dark room, on a table, sit a laser pointer, a piece of glass with tissue, and an ordinary phone camera. Light passes through the sample, and the image shows not cells but a pattern of bright and dark stripes, like the shadow of leaves on a wall.

A drop of blood is a bustling city in miniature. Thousands of different molecules scurry through it, each leaving its own trace. But peering directly into this city is hard: the streets are tangled, and there are so many inhabitants that counting them all individually is out of the question. Scientists have found a way to listen to the whole city at once, without singling out its residents.

Primary human cells, taken straight from the body, are the most honest material for studying diseases and testing drugs. But getting foreign genetic material into them is tricky: cells don't like intruders. Standard methods either damage the cell or work unevenly, especially when the sample is heterogeneous — which it almost always is. The new platform tackles this with a vortex flow.