The UK spends £1.2 billion for the world’s most powerful weather, climate supercomputer

Predicting severe weather and the impacts of climate change will be faster and more accurate than ever before, thanks to the confirmation of £1.2 billion government funding to develop a state-of-the-art supercomputer, Business and Energy Secretary and COP26 President Alok Sharma announced today (17 February 2020).

Data from this new supercomputer – expected to be the world’s most advanced dedicated to weather and climate – will be used to help more accurately predict storms, select the most suitable locations for flood defenses and predict changes to the global climate.

The new supercomputer, to be managed by the Met Office, will also be used to help ensure communities can be better prepared for weather disruption, including through:

  • more sophisticated rainfall predictions, helping the Environment Agency rapidly deploy mobile flood defenses
  • better forecasting at airports so they can plan for potential disruption
  • more detailed information for the energy sector to help them mitigate against potential energy blackouts and surges

With the government announcing its Year of Climate Action, the news further demonstrates the UK is leading by example ahead of hosting UN climate conference COP26, where the world will meet to agree with more ambitious action. {module INSIDE STORY}

Business and Energy Secretary and COP26 President Alok Sharma said:

Over the last 30 years, new technologies have meant more accurate weather forecasting, with storms being predicted up to 5 days in advance.

Come rain or shine, our significant investment for a new supercomputer will further speed up weather predictions, helping people be more prepared for weather disruption from planning travel journeys to deploying flood defenses.

The new supercomputer will also strengthen the UK’s supercomputing and data technology capabilities, driving forward innovation and growing world-class skills across supercomputing, data science, machine learning and artificial intelligence.

Professor Penny Endersby, Met Office Chief Executive said:

This investment will ultimately provide earlier more accurate warnings of severe weather, the information needed to build a more resilient world in a changing climate and help support the transition to a low carbon economy across the UK.

It will help the UK to continue to lead the field in weather and climate science and services, working collaboratively to ensure that the benefits of our work help the government, the public and industry make better decisions to stay safe and thrive.

We welcome this planned investment from the UK government.

Chair of the Science Review Group Professor Ted Shepherd said:

The agreement to upgrade the Met Office high-performance computer is welcome news. The improved processing power will deliver a step-change in weather forecasting and climate modeling capability for the UK, such as the further development of the Earth Systems Model, which involves collaboration with the many UKRI-NERC funded research centers.

Improved daily to seasonal forecasts and longer-term climate projections will equip society with a greater ability to proactively protect itself against the adverse impacts of climate change.

The Met Office is at the forefront of supercomputing, using its current technology to drive advances in environmental forecasting.

As a result, detailed weather predictions for the UK now take place every hour instead of every 3 hours, providing crucial and timely updates when extreme weather is approaching.

The benefit of this has been felt recently: major storms Ciara and Dennis, and the ‘Beast from the East’ in 2018, were forecast 5 days in advance, enabling local councils and emergency services to prepare and instigate resilience plans. Similarly, the Environment Agency has used the Met Office’s latest UK climate projections to set out potential future flooding scenarios and how funding can be best allocated.

UK supercomputer breakthroughs

Today, the government also announced £30 million investment for advanced supercomputing services, providing researchers with access to the latest technology and expert software engineers. It will also help them speed up scientific breakthroughs like developing ‘food fingerprinting’ to detect chemical contaminants in food and improving drug design.

The funding will support 7 High-Performance Computing (HPC) services run by universities from across the UK, including Queen’s University Belfast, the University of Edinburgh, and Durham University. The services will provide researchers with invaluable access to powerful systems to support ground-breaking work in areas from Artificial Intelligence, energy storage and supply, and therapeutic drug design, as well as boosting the skills of UK scientists.

UK Government Minister for Scotland Douglas Ross said:

The UK government investment in Edinburgh’s supercomputers helps keep our capital at the forefront of cutting edge technology.

The University of Edinburgh facility will benefit scientists from across the UK as they are given the opportunity to use this new technology. This additional funding builds on the work of the Edinburgh and South East Scotland City Region Deal which is creating world-leading hubs for AI research.

The UK government is committed to combatting the impact of climate change on top of creating thousands of high-earning jobs and ensuring businesses and public services in the UK are the first to benefit from the latest innovations.

Supercomputer simulations visualize how DNA is recognized to convert cells into stem cells

Researchers of the Hubrecht Institute (KNAW - The Netherlands) and the Max Planck Institute in Münster (Germany) have revealed how an essential protein helps to activate genomic DNA during the conversion of regular adult human cells into stem cells. Their findings are published in the Biophysical Journal.

A cell's identity is driven by which DNA is "read" or "not read" at any point in time. Signaling in the cell to start or stop reading DNA happens through proteins called transcription factors. Identity changes happen naturally during development as cells transition from an undesignated cell to a specific cell type. As it turns out, these transitions can also be reversed. In 2012, Japanese researchers were awarded the Nobel prize for being the first to push a regular skin cell back to a stem cell.

A fuller understanding of molecular processes towards stem cell therapies

Until now, it is unknown how the conversion of a skin cell into a stem cell happens exactly, on a molecular scale. "Fully understanding the processes with atomic details is essential if we want to produce such cells for individual patients in the future in a reliable and efficient manner", says research leader Vlad Cojocaru of the Hubrecht Institute. "It is believed that such engineered cell types may in the future be part of the solution to diseases like Alzheimer's and Parkinson's, but the production process would have to become more efficient and predictable." CAPTION The pioneer transcription factor Oct4 (blue) binds to the nucleosome (a complex of proteins (green) and the DNA (orange) wrapped around these proteins).  CREDIT Jan Huertas and Vlad Cojocaru, ©MPI Münster, ©Hubrecht Institute{module INSIDE STORY}

Pioneer transcription factor 

One of the main proteins involved in stem cell generation is a transcription factor called Oct4. It induces gene expression, or activity, of the proteins that 'reset' the adult cell into a stem cell. Those genes induced are inactive in the adult cells and reside in tightly packed, closed states of chromatin, the structure that stores the DNA in the cell nucleus. Oct4 contributes to the opening of chromatin to allow for the expression of the genes. For this, Oct4 is known as a pioneer transcription factor.

The data from Cojocaru and his Ph.D. candidate - and the first author of the publication - Jan Huertas show how Oct4 binds to DNA on the so-called nucleosomes, the repetitive nuclear structures in chromatin. Cojocaru: "We modeled Oct4 in different configurations. The molecule consists of two domains, only one of which is able to bind to a specific DNA sequence on the nucleosome in this phase of the process. With our simulations, we discovered which of those configurations are stable and how the dynamics of nucleosomes influence Oct4 binding. The models were validated by experiments performed by our colleagues Caitlin MacCarthy and Hans Schöler in Münster."

One step closer to engineered factors

This is the first time computer simulations show how a pioneer transcription factor binds to nucleosomes to open chromatin and regulate gene expression. "Our computational approach for obtaining the Oct4 models can also be used to screen other transcription factors and to find out how they bind to nucleosomes", Cojocaru says.

Moreover, Cojocaru wants to refine the current Oct4 models to propose a final structure for the Oct4-nucleosome complex. "For already almost 15 years now, we know that Oct4 together with three other pioneer factors transforms adult cells into stem cells. However, we still do not know how they go about it. Experimental structure determination for such a system is very costly and time-consuming. We aim to obtain one final model for the binding of Oct4 to the nucleosome by combining supercomputer simulations with different lab experiments. Hopefully, our final model will give us the opportunity to engineer pioneer transcription factors for efficient and reliable production of stem cells and other cells needed in regenerative medicine."

Kaneko Lab shows that leaking away essential resources isn't wasteful, actually helps cells grow

Math reveals the potential answer to a persistent evolutionary mystery

Experts have been unable to explain why cells from bacteria to humans leak essential chemicals necessary for growth into their environment. New mathematical models reveal that leaking metabolites - substances involved in the chemical processes to sustain life with the production of complex molecules and energy - may provide cells both selfish and selfless benefits.

Previously, biologists could only say that leaking is an inherent property of cell membranes caused by fundamental rules of chemistry.

"It is in the nature of membranes to leak, but if leaking is undesirable, why has evolution not stopped it? This question of 'Why?' was never solved," said Professor Kunihiko Kaneko, a theoretical biology expert from the University of Tokyo Research Center for Complex Systems Biology.

The research team used calculations that can measure the changes in multiple factors over time, called dynamical-system modeling, in combination with supercomputer simulations. In this modeling, the researchers considered the nonlinear processes for cell growth where a cell takes in external nutrients and converts them to cellular body and energy by intracellular chemical reactions, by representing the cellular state as the concentrations of intracellular chemicals including nutrients, enzymes, and components to synthesize cellular body. All calculations assumed that the model cells were in a steady state of growth where their internal metabolism and relative concentration of chemicals inside the cells were all stable. {module INSIDE STORY}

The calculations were designed to identify what types of chemical synthesis pathways would become more efficient if some of their components leaked out to the environment. The mathematical models of chemical synthesis paths are simpler than the complex branching pathways in living cells, but allow researchers to look for fundamental patterns.

Researchers identified two such model chemical pathways with catalytic reactions that use enzymes to enhance the reaction rate, which they call the "flux control" and "growth-dilution" mechanisms. In both mechanisms, leaking one essential upstream chemical component of the pathway allows the end product to be produced more efficiently. Thus, leaking is something cells do to selfishly enhance their own growth.

"In theory, the flux control mechanism enhances the pathway for biomass synthesis by the leakage of an essential chemical in an alternative branching pathway, whereas the growth-dilution mechanism enhances the biomass synthesis by the leakage of the precursors of biomass (e.g., amino acids) essential for cell growth. These are a result of the balance between chemical reactions and concentration dilution associated with cellular volume growth," said Jumpei Yamagishi, a first-year graduate student who has worked in Kaneko's laboratory since his undergraduate years.

The models that the research team created so far only consider one type of cell at a time. However, leaking upstream components might become a problem for cells living only with identical types of cells leaking the same components.

"In many cases, if all cells are leaking the same molecule, their environment will become 'polluted.' But if multiple cell types live together, then they can leak one chemical and use a different chemical leaked by the others," said Kaneko.

This mutually beneficial exchange of leaked essential nutrients may be a selfless way to enhance the growth of the whole community of cells.

"Our work may partially answer why the natural environment is so different from artificial lab conditions where bacteria are grown in pure monocultures, but we will need additional models to be sure," said Yamagishi.

The researchers are planning to design more complex mathematical calculations to better simulate natural conditions where multiple types of cells coexist to see if that reveals other types of synthesis pathways that benefit from leaking.