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Telomeres are large nucleoproteins structures that cap the ends of chromosomes in eukaryotic cells. When a cell divides, a small portion of the telomere is lost due to the inherently incomplete process of genome replication. If left unchecked, over time the telomeres will reach a critically short length and the cell will face genomic instability, deterioration or death. To offset this shortening, an essential enzyme called telomerase rebuilds the telomeres by synthesizing new telomeric DNA repeats at chromosome ends. Kelly Nguyen’s group, in the LMB’s Structural Studies Division, has solved the first complete atomic model of this enzyme and discovered a histone dimer as novel telomerase subunits.

Telomeres act as a barrier to protect the genetic information from progressive degradation arising from incomplete DNA replication. Additionally, telomeres distinguish the natural chromosome ends from DNA double-strand breaks, thereby avoiding an illicit DNA damage response and preventing intrachromosomal fusion. This makes telomeres essential for the preservation of genome and chromosome stability. In previous research, Kelly had discovered the architecture and composition of human holoenzyme at 8 Å (Ångströms) resolution using cryo-EM. However, to understand the governing telomerase mediated maintenance, a high-resolution structure of the complex was required.

To conduct this study, Kelly’s group, in collaboration with Kathleen Collins at the University of California, Berkeley, and Rhiju Das at Stanford University, prepared telomerase by extracting it from cultured human cells, before imaging using cryo-EM—resulting in the collection of almost 44000 images. This data was analyzed using RELION—a complex computer program developed at the LMB—in order to achieve the 3.4−3.8 Å structure of telomerase. From this Kelly and members of her group, George Ghanim, Adam Fountain, and Marike van Roon, were able to build the first complete atomic model of telomerase, with 12 protein subunits and telomerase RNA. By completing the structure to such a high resolution, the group was not only able to illuminate how common RNA and protein motifs work together, but also to highlight new interactions.

In the weeks following its launch in early 2006, when NASA ’s New Horizons was still close to home, it took just minutes to transmit a command to the spacecraft, and hear back that the onboard computer received and was ready to carry out the instructions.

As New Horizons crossed the solar system, and its distance from Earth jumped from millions to billions of miles, that time between contacts grew from a few minutes to several hours. And on April 17 at 12:42 UTC (or April 17 at 8:42 a.m. EDT), New Horizons reached a rare deep-space milepost – 50 astronomical units from the Sun, or 50 times farther from the Sun than Earth is.

Here’s one way to imagine just how far 50 AU is: Think of the solar system laid out on a neighborhood street; the Sun is one house to the left of “home” (or Earth), Mars would be the next house to the right, and Jupiter would be just four houses to the right. New Horizons would be 50 houses down the street, 17 houses beyond Pluto!

Summary: Computer-generated, or virtual humans, prove to be just as good as humans in helping people practice leadership skills.

Source: Frontiers.

A virtual human can be as good as a flesh-and-blood one when it comes to helping people practice new leadership skills. That’s the conclusion from new research published in the journal Frontiers in Virtual Reality that evaluated the effectiveness of computer-generated characters in a training scenario compared to real human role-players in a conventional setting.

This article is part of a series tracking the effects of the COVID-19 pandemic on major businesses and sectors. For other articles and earlier versions, go here.

A global shortage of semiconductors — chips that power massive data-centers, modern autos and countless digital devices — has roiled global manufacturing and is not expected to end soon. It isn’t a blanket problem, however, as different sectors within the chip industry will continue to be affected by the shortage in different ways.

As the industry entered 2020, high demand was expected in the mobile chip area because of the rollout of 5G devices. That path was turned on its head when COVID-19 became a global pandemic, driving millions, if not billions, of people into the safety of their homes to work, go to school, be entertained and to socialize.

Encoding information into light, and transmitting it through optical fibers lies at the core of optical communications. With an incredibly low loss of 0.2 dB/km, optical fibers made from silica have laid the foundations of today’s global telecommunication networks and our information society.

Such ultralow optical loss is equally essential for integrated photonics, which enable the synthesis, processing and detection of optical signals using on-chip waveguides. Today, a number of innovative technologies are based on integrated photonics, including semiconductor lasers, modulators, and photodetectors, and are used extensively in data centers, communications, sensing and computing.

Integrated photonic chips are usually made from silicon that is abundant and has good optical properties. But silicon can’t do everything we need in integrated photonics, so new material platforms have emerged. One of these is silicon nitride (Si3N4), whose exceptionally low optical loss (orders of magnitude lower than that of silicon), has made it the material of choice for applications for which low loss is critical, such as narrow-linewidth lasers, photonic delay lines, and nonlinear photonics.

Spin waves could unlock the next generation of computer technology, a new component allows physicists to control them.

Researchers at Aalto University have developed a new device for spintronics. The results have been published in the journal Nature Communications, and mark a step towards the goal of using spintronics to make computer chips and devices for data processing and communication technology that are small and powerful.

Traditional electronics uses electrical charge to carry out computations that power most of our day-to-day technology. However, engineers are unable to make electronics do calculations faster, as moving charge creates heat, and we’re at the limits of how small and fast chips can get before overheating. Because electronics can’t be made smaller, there are concerns that computers won’t be able to get more powerful and cheaper at the same rate they have been for the past 7 decades. This is where spintronics comes in.

January 25, 2021


CAMBRIDGE, England, Jan. 25, 2021 — Riverlane, a quantum software company, today announces that it has raised $20m in Series A funding to build Deltaflow, its operating system for quantum computers. Over the past year, Riverlane has signed up 20% of the world’s quantum hardware manufacturers to use Deltaflow and will use the funding to expand internationally to the US, Europe and beyond.

The round was led by European technology venture capital fund Draper Esprit, and supported by existing investors, Cambridge Innovation Capital, Amadeus Capital Partners, and the University of Cambridge.

Quantum computers will change the world by solving problems that are fundamentally impossible to solve on classical computers. This step change in computing power will have an enormous impact on a variety of industries, for example the pharmaceuticals and materials industry. Over the next five years we will continue to see rapid progress in quantum hardware development and, as the quantum industry develops, it’s vital that software is built on a solid foundation.