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A recent study published in the journal Nature by an international team of 279 scientists, including three biologists from the University of Michigan, provides the latest insights into the flowering plant tree of life.

Using 1.8 billion letters of genetic code from more than 9,500 species covering almost 8,000 known flowering plant genera (ca. 60%), this achievement sheds new light on the evolutionary history of flowering plants and their rise to ecological dominance on Earth.

Led by scientists at the Royal Botanic Gardens, Kew, the research team believes the data will aid future attempts to identify new species, refine plant classification, uncover new medicinal compounds, and conserve plants in the face of climate change and biodiversity loss.

Imagine you’re in a car, pedal to the metal, racing down the highway, but no matter how hard you push, you can’t surpass the speed of the car next to you, which is effortlessly cruising at the same pace. Now, replace the car with light, and you have a real cosmic conundrum: why can’t anything go faster than light?

Back in 1905, Albert Einstein turned the world of physics upside down with his theory of relativity. This wasn’t just about E=mc² or the bending of space-time; it was about something that touches everything we do: the speed of light, which is roughly 299,792 kilometers per second. According to relativity, no matter how fast you’re moving towards or away from a light source, you will always measure the speed of light at the same constant velocity.

This leads us to a mind-boggling realization. As objects speed up, their mass increases. At the speed of light, their mass would become infinite. So, to move an object at the speed of light would require infinite energy, which, quite frankly, is impossible with our current understanding of physics.

Single-cell multiplexing techniques (cell hashing and genetic multiplexing) combine multiple samples, optimizing sample processing and reducing costs. Cell hashing conjugates antibody-tags or chemical-oligonucleotides to cell membranes, while genetic multiplexing allows to mix genetically diverse samples and relies on aggregation of RNA reads at known genomic coordinates. We develop hadge (hashing deconvolution combined with genotype information), a Nextflow pipeline that combines 12 methods to perform both hashing-and genotype-based deconvolution. We propose a joint deconvolution strategy combining best-performing methods and demonstrate how this approach leads to the recovery of previously discarded cells in a nuclei hashing of fresh-frozen brain tissue.

The hypertension drug rilmenidine has been shown to slow down aging in worms, an effect that in humans could hypothetically help us live longer and keep us healthier in our latter years.

Previous research has shown rilmenidine mimics the effects of caloric restriction on a cellular level. Reducing available energy while maintaining nutrition within the body has been shown to extend lifespans in several animal models.

Whether this translates to human biology, or is a potential risk to our health, is a topic of ongoing debate. Finding ways to achieve the same benefits without the costs of extreme calorie cutting could lead to new ways to improve health in old age.