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Ruedi Aebersold

2024-06-18T10:21:58+02:00

Biochemists Ruedi Aebersold and Matthias Mann will be awarded the Dr H.P. Heineken Prize for Biochemistry and Biophysics 2024. The jury commends their pioneering work in proteomics, and especially their prolific and seminal contributions to new techniques to study proteins in a system-wide context. As a result of their achievements, we better understand how healthy cells work and what goes wrong in disease. Never before has the prize been awarded to two independent scientists.

In 2024, it will be 60 years since Alfred Heineken introduced the very first Heineken Prize: the Dr H.P. Heineken Prize for Biochemistry and Biophysics. On this special anniversary edition, the jury has decided to nominate not one but two top scientists. In doing so, the jury honours not only the work of Aebersold and Mann, but also the field of proteomics. Previous laureates of the prize include Nobel laureate Carolyn Bertozzi (2022) and Bruce Stillman (2020).

Drivers of proteomics
Proteins are involved in all processes in the body. Without proteins, for example, there is no cell division, metabolism or growth. For a long time, it was thought that one protein performs one specific function. We now know that biology is much more complex. For example, it has become evident that one protein interacts with many different proteins to perform various functions. To understand how processes in our bodies work, it is not only necessary to identify proteins but also to uncover their interactions with each other. Large-scale research into this is called proteomics.

The jury believes that Ruedi Aebersold, professor emeritus at the ETH Zurich Technical University in Switzerland, and Matthias Mann, professor at the Max Planck Institute for Biochemistry in Germany, are drivers of this field. Their work has made essential contributions to identifying and analysing proteins and offered new insights into how they interact. Both scientists have developed new, innovative techniques that, among other things, have enabled accurate, quantitative measurements of thousands of proteins simultaneously, a method that has become a standard in the research field.

Although the two laureates have primarily followed their own paths over the past decades, they have significantly benefited from each other’s work. Moreover, they share a common goal: to identify the partnerships between all 8 billion proteins in a cell.

Applicability in medicine
As a result of the contributions of Aebersold and Mann, we better understand how healthy cells work and what goes wrong in disease. For example, we can now detect certain diseases early, such as liver disease. When someone is developing liver disease, the amounts of protein in the blood change. By detecting this early on, they can change their lifestyle and avoid becoming ill. Another important medical application is Mann’s research into allergic skin reactions to drugs. By studying patients’ affected skin cells, he discovered the cause and thus laid the foundation for treatment. He is currently analysing the differences in the interactions between proteins in cancer cells and normal cells within a single patient – an approach that could lead to personalised tumour treatments in the near future.

Key milestones over the years
Aebersold was among the first to recognize that our understanding of biological processes hinges not on genes but on proteins – the true workhorses of our cells. His advocacy for large-scale protein research was a testament to his visionary approach. He emphasized that a protein never operates in isolation, but is always part of a larger network, a concept that has since become a cornerstone of our understanding.

To understand how proteins work together, however, you must first know which proteins are present in the cell. One of the main techniques used to study this is mass spectrometry, which measures the masses of protein fragments. With this information, you can identify which protein you are dealing with. Mann was the first to develop an algorithm that could solve this puzzle. Thanks to this algorithm, many vital proteins were discovered. In doing so, Mann made a crucial contribution to analysing proteins in living systems. He did this with his supervisor and inspiration John Fenn, who received the Nobel Prize in chemistry in 2002.

Aebersold also made several essential technical contributions to mass spectrometry. For example, he made mass spectrometry suitable for a very targeted and accurate comparison of the protein composition of different cells. This enables the identification of the processes that are disrupted in a cell in disease. To apply this method optimally, Mann developed a mass spectrometer specifically for this technique. By joining forces, they created a method that almost everyone in the research field uses today.

About Ruedi Aebersold
Ruedi Aebersold (1954, Oberdiessbach) studied cellular biology at the University of Basel in Switzerland, where he also obtained a PhD in cellular biology. After two postdoctoral positions at the California Institute of Technology, he was appointed associate professor at the University of British Colombia in Vancouver in 1989. In 1993, he left for Seattle, where he was appointed professor of molecular biotechnology at the University of Washington in 1998. In 2000, he co-founded the world’s first Institute of Systems Biology there. In 2004, he moved back to Switzerland and became a professor of systems biology at the technical university ETH Zurich in Switzerland.

About Matthias Mann
Matthias Mann (1959, Thuine) studied physics and mathematics at the Georg August University in Germany. In 1988, he received his PhD in chemical engineering from Yale University in the United States. After a postdoctoral position at the Southern Danish University, he became group leader at the European Molecular Biology Laboratory in Heidelberg in 1992. In 1998, he was appointed professor of bioinformatics at the Southern Danish University, and he has been director of the Max-Planck Institute for Biochemistry in Martinsried since 2005. He has simultaneously been director of the proteomics programme at the University of Copenhagen since 2007.

Video

Ruedi Aebersold

Matthias Mann

2024-09-26T12:02:19+02:00

Biochemists Ruedi Aebersold and Matthias Mann will be awarded the Dr H.P. Heineken Prize for Biochemistry and Biophysics 2024. The jury commends their pioneering work in proteomics, and especially their prolific and seminal contributions to new techniques to study proteins in a system-wide context. As a result of their achievements, we better understand how healthy cells work and what goes wrong in disease. Never before has the prize been awarded to two independent scientists.

In 2024, it will be 60 years since Alfred Heineken introduced the very first Heineken Prize: the Dr H.P. Heineken Prize for Biochemistry and Biophysics. On this special anniversary edition, the jury has decided to nominate not one but two top scientists. In doing so, the jury honours not only the work of Aebersold and Mann, but also the field of proteomics. Previous laureates of the prize include Nobel laureate Carolyn Bertozzi (2022) and Bruce Stillman (2020).

Drivers of proteomics
Proteins are involved in all processes in the body. Without proteins, for example, there is no cell division, metabolism or growth. For a long time, it was thought that one protein performs one specific function. We now know that biology is much more complex. For example, it has become evident that one protein interacts with many different proteins to perform various functions. To understand how processes in our bodies work, it is not only necessary to identify proteins but also to uncover their interactions with each other. Large-scale research into this is called proteomics.

The jury believes that Ruedi Aebersold, professor emeritus at the ETH Zurich Technical University in Switzerland, and Matthias Mann, professor at the Max Planck Institute for Biochemistry in Germany, are drivers of this field. Their work has made essential contributions to identifying and analysing proteins and offered new insights into how they interact. Both scientists have developed new, innovative techniques that, among other things, have enabled accurate, quantitative measurements of thousands of proteins simultaneously, a method that has become a standard in the research field.

Although the two laureates have primarily followed their own paths over the past decades, they have significantly benefited from each other’s work. Moreover, they share a common goal: to identify the partnerships between all 8 billion proteins in a cell.

Applicability in medicine
As a result of the contributions of Aebersold and Mann, we better understand how healthy cells work and what goes wrong in disease. For example, we can now detect certain diseases early, such as liver disease. When someone is developing liver disease, the amounts of protein in the blood change. By detecting this early on, they can change their lifestyle and avoid becoming ill. Another important medical application is Mann’s research into allergic skin reactions to drugs. By studying patients’ affected skin cells, he discovered the cause and thus laid the foundation for treatment. He is currently analysing the differences in the interactions between proteins in cancer cells and normal cells within a single patient – an approach that could lead to personalised tumour treatments in the near future.

Key milestones over the years
Aebersold was among the first to recognize that our understanding of biological processes hinges not on genes but on proteins – the true workhorses of our cells. His advocacy for large-scale protein research was a testament to his visionary approach. He emphasized that a protein never operates in isolation, but is always part of a larger network, a concept that has since become a cornerstone of our understanding.

To understand how proteins work together, however, you must first know which proteins are present in the cell. One of the main techniques used to study this is mass spectrometry, which measures the masses of protein fragments. With this information, you can identify which protein you are dealing with. Mann was the first to develop an algorithm that could solve this puzzle. Thanks to this algorithm, many vital proteins were discovered. In doing so, Mann made a crucial contribution to analysing proteins in living systems. He did this with his supervisor and inspiration John Fenn, who received the Nobel Prize in chemistry in 2002.

Aebersold also made several essential technical contributions to mass spectrometry. For example, he made mass spectrometry suitable for a very targeted and accurate comparison of the protein composition of different cells. This enables the identification of the processes that are disrupted in a cell in disease. To apply this method optimally, Mann developed a mass spectrometer specifically for this technique. By joining forces, they created a method that almost everyone in the research field uses today.

About Ruedi Aebersold
Ruedi Aebersold (1954, Oberdiessbach) studied cellular biology at the University of Basel in Switzerland, where he also obtained a PhD in cellular biology. After two postdoctoral positions at the California Institute of Technology, he was appointed associate professor at the University of British Colombia in Vancouver in 1989. In 1993, he left for Seattle, where he was appointed professor of molecular biotechnology at the University of Washington in 1998. In 2000, he co-founded the world’s first Institute of Systems Biology there. In 2004, he moved back to Switzerland and became a professor of systems biology at the technical university ETH Zurich in Switzerland.

About Matthias Mann
Matthias Mann (1959, Thuine) studied physics and mathematics at the Georg August University in Germany. In 1988, he received his PhD in chemical engineering from Yale University in the United States. After a postdoctoral position at the Southern Danish University, he became group leader at the European Molecular Biology Laboratory in Heidelberg in 1992. In 1998, he was appointed professor of bioinformatics at the Southern Danish University, and he has been director of the Max-Planck Institute for Biochemistry in Martinsried since 2005. He has simultaneously been director of the proteomics programme at the University of Copenhagen since 2007.

Video

Matthias Mann

Interview with Manon van Scheppingen

2024-06-25T09:32:32+02:00

‘Your personality changes even when you are an adult’

For a long time, it was thought that our personalities are pretty much fixed from the age of 30. We now know that they can change throughout our lives. Manon van Scheppingen, a developmental psychologist at Tilburg University, studies what factors lead to personality change. She focuses particularly on young adults – people aged between 20 and 40.

Lees dit interview in het Nederlands (NewScientist)

‘Many young adults acquire a more mature personality over time, including more self-control and emotional stability,’ says Van Scheppingen. ‘But it is not yet clear what causes these changes. I therefore explore whether specific life transitions can explain this. For example, I expected the transition to parenthood to be one of the factors.’

Van Scheppingen had people who had their first child fill in a questionnaire about their personality at different times. She compared the results with a control group. ‘People who had a child did not, on average, appear to develop a more mature personality during that period than people who did not have a child.’ She did notice that some new parents, especially mothers, temporarily had lower self-confidence.

Although, on average, Van Scheppingen did not see a major personality change due to parenthood, some people do change significantly because of it. ‘For example, some people gain much more self-confidence, others much less,’ says Van Scheppingen. ‘In the near future, I will be studying what factors could explain these differences. In addition to the first child, I will also examine two other life events: the first job and cohabitation. Besides pre- and post-measurements of their personality, I will also explore how people experienced these events: did they perceive them as positive or negative? How was their stress level? That way, I hope to find out why some people change more than others.’

Van Scheppingen has also studied the role personalities play in romantic relationships. ‘We often hear that opposites attract. But our research found that people tend to select a partner who has similar personality traits, including a similar level of self-control.’

‘My research is quite fundamental,’ says Van Scheppingen. ‘But if we better understand how and why people change, this could help develop therapies in the field of personality change. However, I think we should also celebrate the fact that everyone has a different personality. I hope that my research can ensure that people get a better understanding of their personality and can organise their lives in the way that best suits it.’

Video

Young Scientist – Manon van Scheppingen

Interview with Casper van der Kooi

2024-06-25T09:32:23+02:00

‘Flowers Adapt Evolutionarily to Their Pollinators’

Plants need pollinators for reproduction, and they attract these pollinators with colourful flowers. Casper van der Kooi, an evolutionary biophysicist at the University of Groningen, studies how these colours form and evolve.

Lees dit interview in het Nederlands (NewScientist)

‘The colour and brightness of flowers change through evolution to be optimally visible to the pollinator,’ says Van der Kooi. Not all pollinators can see all colours equally well. Many insects, for example, cannot see red. As a result, flowers that rely on insects for pollination are rarely red. Many red flowers rely on birds, which can see red well, for their pollination. ‘The poppy is an exception, but it “cheats” because it also reflects ultraviolet,’ explains Van der Kooi. ‘Insects can see that very well.’

Van der Kooi showed that the colour of a flower is not only determined by its pigment, but that the internal structure of the flower is equally important. ‘A yellow flower, for example, has a pigment that absorbs blue light and reflects the rest,’ he says. ‘As a result, we see the remainder of the spectrum as yellow. But the way in which the flower reflects that remaining light is also important. A flower consists of several layers of cells, which scatter light in different ways. I study how this cell structure leads to the visual signal that animals and humans see.’ An example of a flower with an exceptional structure is the buttercup. ‘It has an outer layer that makes it very shiny.’

Lately, Van der Kooi has also been focusing on butterflies. He studies how the colours of their wings form and evolve to best attract a mate. ‘What makes butterflies so fascinating is that they have the most brilliant colours found in nature. They are also very dynamic – they fly around each other, continuously reflecting light in different ways. We want to study how butterflies’ colours combined with their behaviour determine how attractive they look to a potential partner.’

Van der Kooi’s research helps to better understand communication between animals, as well as between plants and animals. ‘Colour is a wonderful way to visualise biodiversity. I hope to make the abstract concept of biodiversity more concrete with my research and thereby inspire others to get involved in protecting plants and animals.’

Video

Young Scientist – Casper van der Kooi

Interview with Lorena De Vita

2024-06-25T09:32:12+02:00

‘Reconciliation between countries often requires uncomfortable compromises’

Historical research on international relations often focuses on wars and conflicts. Instead, Lorena De Vita, a historian at Utrecht University, focuses on how countries can reconcile afterwards. ‘I want to know how people and countries deal with the aftermath of horrors such as wars and genocides,’ says De Vita. ‘In addition, I am exploring what we can learn from this for the present.’

Lees dit interview in het Nederlands (NewScientist)

De Vita aims to discover what the conditions for reconciliation are, why it has succeeded in some cases and not in others, and who the protagonists are. In doing so, she looks beyond obvious individuals such as prime ministers and foreign ministers. ‘Of course, I did a lot of research in the official archives of ministries. But I also try to look at people who do not usually end up in the history books. In some cases, among the real diplomats there also turned out to be scientists, lawyers, and journalists.’

Among other things, Vita studied how Germany and Israel reconciled after World War II. ‘An important lesson I learned is that such a reconciliation is full of uncomfortable compromises. One of the reasons why the reconciliation finally succeeded is that there were concrete interests on both sides. For Germany, it was important to show other countries that it was taking responsibility for the past. It did so partly by negotiating reparations to Israel. And Israel was in a dire situation in the early 1950s – almost on the brink of economic collapse and politically extremely isolated in the Middle East. Also important was that there were enough people who felt it was worth pursuing dialogue. Not just at the highest level: there were also groups of citizens from both sides restarting the dialogue.’

In addition to reconciliation between countries, De Vita studies other forms of reparations. ‘Today, there is still a strong call to “repair” various events in history, such as slavery, colonialism, and genocide,’ says De Vita. She is currently researching what this ‘repair’ might look like, including by studying the diaries of German lawyer Otto Küster. He negotiated reparations for Holocaust survivors after World War II. ‘I am analysing these unique historical sources in the hope that this will help us better understand the ways in which you can right past injustices.’

Video

Young Scientist – Lorena De Vita

Interview with Kevin ten Haaf

2024-06-25T09:32:01+02:00

‘Efficient lung cancer screening can prevent deaths’

Early detection of cancer can offer many health benefits. If a tumour has not yet metastasised, it can often still be removed or treated. However, it is not feasible to screen everyone continuously. That is why Kevin ten Haaf, an econometrician at Erasmus MC Rotterdam, is developing models to determine how to personalise screening programmes. He focuses specifically on lung cancer.

Lees dit interview in het Nederlands (NewScientist)

‘We want to identify who is at high risk of developing lung cancer,’ says Ten Haaf. ‘Using smoking history and age, we can already determine about 90 per cent of the risk. Important factors also include whether people have COPD and whether lung cancer runs in the family.’ It is important to screen high-risk individuals, while for low-risk individuals, the benefits sometimes do not outweigh the drawbacks, including the pressure this creates on healthcare. For example, screening might detect a tumour in someone of old age or with a limited life expectancy that would not have caused problems in their lifetime. ‘It is better to stop screening at some point.’

Ten Haaf’s research underpinned several screening programmes and recommendations, including those in Australia, Switzerland, the United States, and the province of Ontario in Canada. Currently, his research focuses on several European countries, including the Netherlands. ‘When developing a screening programme, we first map smoking behaviour in a country,’ says Ten Haaf. ‘With this, we calculate how many people are at high risk of developing lung cancer. We then compute thousands of strategies, evaluating different combinations of start and stop ages, time between screenings and risk levels. Suppose you scan this group of people every year from age 55 onwards: how many CT scans would you need? What would that cost? How many people would no longer die of lung cancer? And how long would they live after their cancer deaths are prevented?’ Using these scenarios, Ten Haaf determines the optimal strategy for a given country.

Screening programmes can help reduce deaths from lung cancer, but Ten Haaf stresses that preventing people from smoking and helping people to quit remains key. This helps prevent not only lung cancer but also other diseases. And if a person has already developed lung cancer, quitting smoking ensures that treatments are more effective.

In the future, Ten Haaf plans to also apply his knowledge to screening and treatment of other diseases, such as breast cancer, head and neck cancer, bladder cancer, and cardiovascular disease. ‘I hope to contribute to personalising screening and treatments in as many diseases as possible. That way, we can use the doctors and resources we have to help as many people as possible.’

Video

Young Scientist – Kevin ten Haaf




Interview with Ruedi Aebersold & Matthias Mann

2024-06-11T10:04:00+02:00

“To really understand biological processes, you have to research the complex interplay between all proteins”

Proteins are involved in all processes in our body. Biochemists Ruedi Aebersold and Matthias Mann are identifying the proteins in our cells and how they interact with each other. In doing so, they are unravelling the intricate machinery that controls our bodies and are laying the groundwork for drugs that intervene when these processes are disrupted. For this, they will receive the 2024 Dr H.P. Heineken Prize for Biochemistry and Biophysics.

Lees dit interview in het Nederlands (NewScientist)

Late last century, biochemists thought: if we can identify all genes and their functions, we will understand how humans, animals, and other organisms work. This proved a pipe dream. Genes are only the blueprint for proteins, and the proteins are the actual workhorses in our cells. To really understand biological processes, it is not enough to study the blueprint alone. Ruedi Aebersold, professor emeritus at the ETH Zurich in Switzerland, and Matthias Mann, professor at the Max Planck Institute for Biochemistry in Martinsried, realised that you also have to research the complex interplay between all proteins, and between proteins and other molecules. In doing so, they pioneered a new field that studies the collection of all these proteins: proteomics.

‘Initially, people thought there was a clear pathway from a specific gene to a specific function,’ Aebersold explains. ‘A piece of DNA forms the code for a specific protein, and that protein performs a specific function in the cell, or so the thinking was. We now know that biology is much more complex.’ The main reason: one protein typically does not perform one specific function but interacts with all kinds of different proteins or other molecules to perform different functions. ‘You can compare it to our society,’ says Aebersold. ‘In society, people have different roles as well. For example, someone is a biochemist, a father, and the coach of a football team. In all these roles, he works with different people in different contexts, performing all kinds of different functions together. We want to identify the properties of all 5 to 10 billion protein molecules in a cell. On the one hand, we want to know the characteristics of proteins: how heavy are they, what is their structure? And on the other hand, we want to know how they interact with each other in the context of a cell and what functions they perform with these interactions.’

Aebersold and Mann were instrumental in developing the techniques to make this possible. The first step is to identify which proteins are present in a cell. Proteins are very long chains of 20 different basic building blocks: the amino acids. These chains are folded together in an intricate way. The identity of each protein is defined by the sequence of its amino acids.

Peptide puzzle
One of the main techniques you can use to identify a protein is mass spectrometry. You could see a mass spectrometer as fancy scales. But ‘weighing’ proteins as a whole does not offer enough information about their identity. This way, you cannot determine the sequence of the hundreds to thousands of amino acids that make up the protein. Therefore, biochemists first cut up proteins into smaller pieces called peptides and determine the masses of those. They then chop up such peptides into even smaller pieces: random chains of a few amino acids each. They also determine the masses of these chains. Using all this information, they can figure out the amino acid sequence of a peptide. If they identify several peptides from the same protein, they know which protein they are dealing with.

Mann developed the first algorithm to solve this complicated puzzle. ‘It is very difficult to determine from all those different masses of protein fragments exactly how the protein is put together,’ he says. ‘One morning, it suddenly occurred to me how we could do this. I programmed the idea, and it turned out it worked.’ As peptides are chopped into random fragments, groups of fragments are also created that differ by only one amino acid each. Mann’s algorithm searches for such groups and uses this information to reconstruct pieces of the amino acid sequence. It then searches a database to see which known peptide contains all these sequences, and also has the correct total mass. ‘Looking back, this has been the most important moment of my career,’ says Mann. ‘Thanks to this algorithm, a lot of important proteins were later discovered.’

Electrical charge
Mass spectrometers work completely differently from kitchen scales. A crucial step of mass spectrometry is that you give the peptides an electrical charge. Then you can accelerate them with an electric field towards a detector, and the length of time they take on this journey indicates their mass. Lighter peptides will move faster towards the detector than heavier fragments, and so you can accurately determine the mass of each peptide.

During his PhD, Mann worked on this crucial part: ensuring that the peptides receive an electrical charge. ‘My supervisor, John Fenn, was working on a cool technique to turn a solution of molecules into a spray with electrically charged molecules. At the time, nobody thought this would work, but I immediately thought it would be very exciting if it did. Then you could use this process, for example, to analyse proteins. I had a background in physics myself, and in my mind, these were extremely complex and interesting systems. We worked on this technique, and eventually succeeded in making it suitable for analysing proteins. In 2002, Fenn received the Nobel Prize in chemistry for this work.’

One drawback was that you needed large amounts of a particular protein, many more than there are in a cell, for example. Mann therefore later adapted the technique in his own lab to study very small amounts of proteins, so that mass spectrometry could actually be used to study the proteins of living systems.

Isotopes
‘Initially, the aim of proteomics was to create overviews of all the different proteins present in a sample, for example in an extract of a particular cell type,’ says Aebersold. ‘But for biologists it is even more interesting to find differences between different cell types or cell states, for example between healthy and diseased cells. You want to be able to compare how much of a particular protein is present in these different cells.’ To achieve quantitative comparisons, it is often insufficient to pass the two samples through the mass spectrometer one after the other. Due to the many complex processing steps in a mass spectrometer, sometimes a higher proportion of peptides makes it to the detector than at other times. This is not a problem if you only want to chart which proteins are present, but it is a problem if you want to know exactly how much of each protein there is.

To compare samples quantitatively, mass spectrometrists have used stable isotopes. These are variants of the same chemical element that have a slightly different mass. Aebersold developed a method to attach labels with light or heavy isotopes to the protein fragments. This makes the protein fragments from one sample just slightly heavier than the equivalent protein fragments from the other sample. You can then mix both samples and send them together through the mass spectrometer. You now measure a slightly lighter and a slightly heavier version of each peptide. Because they went through the mass spectrometer at the same time, you can compare very precisely the abundances of these different variants. This way you can ultimately determine whether, for example, a sick person has more of a certain protein in their cells than a healthy person. Mann developed a variant of this method. In this process, you place proteins in a nutrient medium and make sure they replace their amino acids with variants made of light or heavy isotopes.

‘With these methods, we can study proteins in blood, for example,’ says Mann. ‘These proteins are in contact with your organs. If, for example, you are developing liver disease, the amounts of protein in your blood may change. If we can spot that early, you can change your lifestyle and thus prevent getting sick.’ Mann and his colleagues are also studying whether they can detect the onset of miscarriages in the blood of pregnant women, in order to be able to intervene early here too. ‘The great thing is that you can use our techniques wherever proteins are involved. And proteins are actually involved in everything.’

‘With isotope labelling, it became possible to quantitatively compare more than two samples,’ says Aebersold. In the first decade of this century, the capabilities and performance of mass spectrometers increased rapidly, but a conceptual problem remained: the mass spectrometer always detected only a fraction of all peptides present. ‘There are about 12,000 different proteins in a human cell, and back then a mass spectrometer managed to detect a sufficient number of peptides to identify about 1,000 to 2,000 of them,’ says Aebersold. ‘That was a gigantic achievement, especially considering that during my PhD, it took me six months to determine the amino acid sequence of a single protein. But if you want to compare a lot of samples, you face a problem: the mass spectrometer detects a random proportion of peptides, and these are therefore not always peptides from the same 2,000 proteins. That makes it very difficult to compare the quantities of certain proteins.’

Targeted measurement
To solve this problem, Aebersold developed a technique called ‘targeted proteomics’. In targeted proteomics, you decide in advance which proteins you want to include in your study and set the mass spectrometer to specifically measure only these proteins. ‘This way, you could very accurately measure the amounts of predetermined sets of proteins’, says Aebersold.  ‘This proved to be a very powerful method, because it allowed us to study very specifically groups of proteins that we knew or suspected to play a role in a particular disease. We could compare the quantities of those proteins very consistently across hundreds of samples, allowing us to compare hundreds of patients. However, the method accommodated a lot fewer different proteins than you could measure with the non-targeted methods.

Later, Aebersold and his colleagues developed a technique that did allow very large numbers of different proteins to be compared with great consistency across large numbers of samples. The big change was that before, the mass spectrometer chopped up the peptides one by one and therefore determined their identity sequentially. Aebersold’s method allowed groups of peptides to be chopped up and analysed in parallel. As you can imagine, that process creates a gigantic mess of data. ‘With conventional methods, you would be unable to do anything with the data that came out of this type of measurement,’ says Aebersold. ‘You then know the masses of fragments of about a hundred different peptides, but you do not know which fragments belong together. To resolve this issue, we developed algorithms that look for patterns belonging to specific peptides in the data. That way, we can determine the identity of a lot of peptides that are concurrently fragmented.’

‘Initially, I was a bit sceptical about this method,’ says Mann. ‘That was related to the fact that Aebersold and his colleagues initially used this method in combination with mass spectrometers that were not very good. At the time, we developed a mass spectrometer together with a manufacturer that turned out to be quite suitable for this very technique. We joined forces and that had a big impact. Today, almost everyone in the research area uses this method. It was nice that after working in parallel for a long time, work in our two groups finally came together.’

Interaction network
To really understand how proteins build and control our bodies, you also need to map their interactions. Protein researchers use a kind of baiting technique for this purpose. In this process, you attach one of the proteins from a cell to a surface. Then you bring all the other proteins from the cell in contact with it. The proteins that normally interact with the bait protein in our body will now bind to it. Then you send the group of bound proteins through the mass spectrometer, and you can see exactly which proteins interact with the bait protein. You can repeat this with different bait proteins each time, mapping the network of all interactions.

Mann is currently studying interactions between proteins of viruses in this way. ‘We have already done this for corona virus proteins and want to start doing it with a few other research groups for all the viruses we know that could infect humans. There are about 10,000 of those. We hope that will teach us a lot about how these viruses invade and affect human cells, and how we can intervene in this.’

Aebersold has also done a lot of research on interactions between proteins, including in cancer cells. ‘We studied cancer cells from cell lines that have been used in laboratories for research for years,’ he says. ‘We found that these cells evolved new properties over time and studied the molecular basis of these. For example, we observed that some of these cells developed resistance to infection with Salmonella, a bacterium that normally invades these cells. Comparing the protein interaction network between Salmonella invasion resistant and non-resistant cells, we could identify the molecular machinery that normally allows a Salmonella bacterium to enter the cell.’ Aebersold thinks this is also the direction patient research will take. ‘It starts with a patient in whom a certain change has occurred, for instance one or several genetic mutations causing a disease or resistance to a drug. We now have the techniques to trace the molecular changes induced by these genetic variants all the way to the interactions between proteins.’ This information can then be used to base a treatment on.

Pretty pictures
Not only has mass spectrometry taken off in biochemical research over the past decades, but imaging techniques are also rapidly improving. This enables three-dimensional imaging of tissues and cells in ever-higher resolution. ‘Many people think a mass spectrum is boring,’ laughs Mann. ‘Researchers working with these imaging techniques can create very pretty pictures. But you could also say: those are ‘just’ pretty pictures. For example, they can image cancer cells that look different from normal ones, but they do not know what exactly these cells are doing.’

Mann and his colleagues are therefore trying to bring these two fields together. ‘For example, we do research on melanoma. With all the fancy imaging techniques, we can first image all the cells in and around the melanoma. We can then cut a number of different cells from the tissue, from outside the cancerous region to inside it, and analyse the proteins in them. This allows us to follow the process from normal cell to cancer cell in the same patient. For example, we can see that a particular signalling pathway – a series of proteins that activate each other – is malfunctioning. Then we can administer a drug that we know acts on precisely that signalling pathway. So, you can create a specific treatment for each patient. I hope we can actually implement this in hospitals in about five years’ time.’

Another important medical application of proteomics is Mann’s research into allergic skin reactions to drugs. ‘Fortunately, this is rare, but some people develop symptoms similar to severe burning,’ says Mann. ‘A third of these patients even die from this. It was unknown what caused this reaction, nor was there any proper treatment.’ Mann and his colleagues examined affected skin cells from these patients, and they saw that a specific signalling pathway in the immune cells was very much activated. ‘There already was a drug for this signalling pathway, which was used for something else. Recently, a research group in China used this drug to treat eight patients with this allergic reaction, and they all made a full recovery. Once the drug is authorised in Europe for this disease, dermatologists will start using it here too. This is one of the things I am most proud of: I started out as a fundamental physicist, and now, in the best case, we can help save human lives.’

Aebersold is also proud of all the medical applications that proteomics is generating, but he also stresses the importance for our fundamental knowledge. ‘We are now slowly but surely starting to unravel the complexity of living systems,’ says Aebersold. ‘It is fascinating how evolution has produced the enormous complexity of living systems. We now have the tools to decipher and try to understand this, not just in humans, but in the vast diversity of life there is on Earth, most of it still largely unexplored.’

CV
Ruedi Aebersold (Oberdiessbach, Switzerland, 1954) studied cellular biology at the University of Basel in Switzerland. He received his PhD there in 1983, also in cellular biology. After postdoctoral training at the California Institute of Technology, he was appointed assistant professor at the University of British Colombia in Vancouver in 1989. In 1993, he left for Seattle, where he was appointed professor of molecular biotechnology at the University of Washington in 1998. In 2000, he co-founded the world’s first Institute for Systems Biology in Seattle. In 2004, he moved back to Switzerland and became professor of systems biology at the ETH Zurich. He reached emeritus status in 2020.

CV
Matthias Mann (Thuine, Germany, 1959) studied physics and mathematics at the Georg August University in Göttingen. He received his PhD in chemical engineering from Yale University in the US in 1988. After a postdoctoral position at the University of Southern Denmark, he became group leader at the European Molecular Biology Laboratory in Heidelberg in 1992. In 1998, he was appointed professor of bioinformatics at the University of Southern Denmark, and he has been director of the Max-Planck Institute for Biochemistry in Martinsried since 2005. Since 2007, he has simultaneously been director of the proteomics programme at the University of Copenhagen.

Heineken Prizes
In 1964, Alfred Heineken established the Dr H.P. Heineken Prize for Biochemistry and Biophysics, as a tribute to his father, Henry P. Heineken, who was himself a biochemist. In addition, the award was intended to highlight the importance of science to the brewing industry. The Heineken Prizes have since grown into internationally leading awards for top scientists.

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Matthias Mann

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Ruedi Aebersold

Kevin ten Haaf

2024-09-26T12:02:31+02:00

Kevin ten Haaf, econometrician at Erasmus MC in Rotterdam, is the recipient of the Heineken Young Scientists Award in the Medical/Biomedical Sciences. The jury praises his research on the early detection of lung cancer. Using various mathematical models, he develops personalised screening programmes that help countries identify high-risk groups and effectively detect the disease in its early stages. It is a method that can offer many health benefits.

Charlene de Carvalho-Heineken established the Heineken Young Scientists Awards in 2010 to honour young scientific talent for their outstanding achievements. Since then, the prize has been awarded every two years to four highly promising young researchers affiliated with a Dutch university or research institute and who are working in one of the following domains: Medical/Biomedical Sciences, Humanities, Natural Sciences, and Social Sciences. Each laureate receives an unrestricted cash prize of €15,000 as a reward.

About the research
Many lung cancer patients are not diagnosed before their cancer has metastasised, causing their chances of healing to be slim. However, if a tumour is identified before it metastasizes, it is still treatable. Early detection of lung cancer can, therefore, bring many health benefits. In Europe, there has long been a desire to initiate lung cancer screening. Early detection of cancer can offer many health benefits. However, it is not feasible to screen everyone continuously. Kevin ten Haaf therefore decided to develop customised screening programmes based on a country’s population.

Ten Haaf’s research is based on a comprehensive use of mathematical models. These models enable him to predict individuals at high risk of developing lung cancer, considering factors such as smoking behaviour and age. He also factors in the rate at which tumours that are not yet symptomatic develop, and the effectiveness of detection at various stages. By weighing the advantages, disadvantages, and costs of these predictions, he can identify the most optimal screening programme for a country.

Ten Haaf’s research has directly contributed to the implementation of population screening in several countries, including Australia and Canada (Ontario). He is currently studying the most effective method for early lung cancer detection in several European countries, including the Netherlands. Whether it will be implemented in the Netherlands remains to be seen. Former health minister Ernst Kuipers has requested a recommendation from the Health Council, which is expected to present their advice later this year.

Jury praises impact of statistics on healthcare
The jury was impressed by Ten Haaf’s innovative methodologies and his ability to translate complex analyses into actionable insights for policymakers and clinicians. His work not only influences international screening guidelines, but also directly affects patients. This makes the social impact of his research significant. As an internationally recognised expert in lung cancer screening, Ten Haaf regularly lectures at conferences and advises on the implementation of screening programmes worldwide. 

About Kevin ten Haaf
Kevin ten Haaf (1988) studied econometrics and management sciences at Erasmus University in Rotterdam. At Erasmus MC Rotterdam, he received his PhD (cum laude) on the optimisation of lung cancer screening in 2017. After this, he held several research positions at Erasmus MC and was a visiting scientist at the National University of Singapore. He has been an Assistant Professor in Public Health at the department of Public Health at Erasmus MC in Rotterdam since 2021.

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Kevin ten Haaf, econometrician

These are the laureates of the Heineken Young Scientists Awards 2022

2022-12-15T16:18:50+01:00

Photography: Bram Belloni

Does the timing of medication administration affect its effectiveness? How do you demonstrate the entanglement of large quantities of quantum particles? What effect does the growing power of algorithms have on human autonomy? How can you optimise doctor-patient communication? The winners of the Heineken Young Scientists Awards 2022 ponder these tantalising questions on a daily basis. These prizes are awarded every two years to four talented young Dutch scientists. Through their work, they make an important contribution to our collective knowledge and set an example for other young scientists. Meet the 2022 laureates.

Lees dit interview in het Nederlands (NewScientist)

‘The effect of medication depends
on when you administer it’

Laura Kervezee (1989)

Leiden University Medical Centre
Heineken Young Scientists Award in Medical/Biomedical Sciences

Our internal clock ensures that all kinds of bodily processes take place at the right time. Not just our sleep, but also processes regarding our digestion, hormones, metabolism, and the immune system. Laura Kervezee, a chronobiologist at Leiden University Medical Centre, studies how this biological clock affects our health. Early in her studies, Kervezee was fascinated by this subject. She wondered why she always woke up before eight, no matter how late she went to sleep, while her fellow students could sleep in until noon. She delved into this question for a study assignment. ‘Since then, the flame has never gone out,’ says Kervezee.

One of the questions she has since examined is what the effects are of a disrupted biological clock. ‘For this, we studied night shift workers,’ she says. ‘We found we were able to measure at the molecular level in the blood how disrupted the biological clock is, and whether it adapts well to night shifts or not. We can see this, for example, in hormones such as melatonin and cortisol, but also in RNA in blood cells. From that, we can deduce when genes involved in the biological clock are read out to produce proteins.’

She is currently researching how to make the biological clock of patients in intensive care stronger, and, in doing so, make the patients healthier. You can affect the biological clock with light, but also, for example, with a certain diet. ‘Patients in intensive care usually receive continuous tube feeding,’ says Kervezee. ‘This happens twenty-four hours a day. We, as well as doctors and nurses, wonder whether that is the best diet. After all, no one normally eats while sleeping. So, we are studying how such a diet affects the biological clock, sleep, and health of patients. We are comparing patients who are fed continuously with patients that we only feed during the day. Overall, they receive the same amount of nutrition.’

There is also a great deal of progress to be made in drug administration, according to Kervezee. She focused on this during her PhD research. ‘We already know that the effects of medication depend on the time of day. If we find out exactly how the timing of administration influences the effect of medication, there could be great gains. This also varies greatly from person to person. It would be very nice if we could predict what the optimal moments are, so we can take that into account.’

‘When you are seriously ill,
communication matters a lot’

Liesbeth van Vliet (1985)

Leiden University
Heineken Young Scientists Award in Social Sciences

When someone has a serious illness such as metastasised cancer, it is not only important for the doctor to be medically competent. How a doctor communicates with this patient is also crucial. Liesbeth van Vliet, a health psychologist at Leiden University, studies how doctors can design their communication so that patients experience less stress and remember information better. She also discovers what, in particular, doctors should not say. ‘Patients indicated, for example, that they don’t want a doctor to say they look good,’ Van Vliet says. ‘This makes it harder to say they feel really lousy. They also found it annoying when a doctor said: “I’ll call you tomorrow”. This can lead to them sitting by the phone all day. If possible, it may help to mention a time period in which you will call.’

By studying videos of consultations and combining them with questionnaires, Van Vliet discovered that patients do not remember all the information from conversations. For example, women with incurable breast cancer remembered only 40 percent of information about side effects after conversations discussing results. Through such studies, we know that it is important to repeat information in multiple conversations, and to ask someone at the end of a conversation: “What are you taking home from this conversation?”

Empathy also plays a role here. People were found to remember eight percent more information when a doctor is empathetic. Patients also feel better after an empathetic conversation. Van Vliet saw this in recordings of conversations between patients and doctors, as well as in an experiment where she showed videos with and without empathic elements to subjects.’

At the same time, empathy is a fairly abstract concept. ‘That is why we are trying to make concrete which behaviours can help build a connection with a patient,’ says Van Vliet. ‘A patient recounted that her doctor once stopped in the middle of a sentence and said to her husband: “Do you have a new tattoo?” This is something very small, but the patient felt seen. It often turns out that small things can make a big difference, which is good news because it means empathy does not always take a lot of time. When you are seriously ill, empathic behaviours matters a lot. You need someone who not only sees your tumour, but who sees and supports you as a person.

‘Entanglement is a necessary ingredient
of a quantum computer’

Jordi Tura i Brugués (1987)

Leiden University
Heineken Young Scientists Award in Natural Sciences

Quantum computers compute in a completely different way from ordinary computers. This makes the potential enormous, but they must be managed in a completely different way. Mathematician Jordi Tura i Brugués, at Leiden University, is developing algorithms to perform computations on quantum computers. Applications of his quantum algorithms include complex optimisation problems, machine learning, and the unravelling and prediction of the precise development of chemical reactions.

‘Chemical reactions are themselves governed by the laws of quantum dynamics,’ says Tura i Brugués. ‘Many details of these reactions we do not yet understand, because they are incredibly complex systems with large numbers of electrons all interacting with each other. For an ordinary computer, simulating these systems takes far too much computing power. But because a quantum computer operates according to the same laws of quantum dynamics, it is ideally suited to map such complex chemical reactions.’

One of the quantum properties that make a quantum computer so incredibly powerful is entanglement. This means that if you do something to one particle, it immediately affects the particles entangled with it, no matter how far apart they are. ‘Entanglement is a necessary ingredient to unlock the full potential of a quantum computer,’ says Tura i Brugués. He has taken important steps to measure the entanglement of large numbers of particles in the lab. This makes it possible to determine the computing power of quantum computers currently under development.

‘Mathematically, this is a very complex problem,’ says Tura i Brugués. ‘That’s because with each additional particle you add, the complexity of the equations you have to solve at least doubles.’ By applying clever approaches, he simplified the problem. For example, he adapted Bell’s theorem, which is used to show entanglement of two particles, to fit large numbers of particles. Thanks to his theoretical work, it has become possible for the first time to demonstrate the entanglement of half a million rubidium atoms.

In addition, Tura i Brugués is developing methods to verify that a quantum computer is actually a quantum computer, and not a traditional computer that mimics the properties of a quantum computer. ‘I develop interactive protocols, letting the computer solve different problems. It is quite difficult to find the right kind of problems for this. They must be difficult enough that a traditional computer cannot solve them, but easy enough that a rudimentary quantum computer can.’

Fleur Jongepier (1986)

Heineken Young Scientists Award in Humanities

Both government agencies and commercial companies are increasingly relying on algorithms. The tax authorities and the police use algorithms to determine who they double check. Netflix and Spotify increasingly know what you want to watch or listen to, and polling guides predict how you will vote. Philosopher Fleur Jongepier received the Heineken Young Scientists Award for her research on how the growing power of algorithms affects our autonomy and self-knowledge. In this study, which she conducted at Radboud University Nijmegen, she studied whether it is bad that we increasingly listen to algorithms more than to ourselves, and if so, why. She also identified in which cases it might actually be better to listen to algorithms.

The growing influence of algorithms sets in motion changes that are not always readily apparent. This is precisely why Jongepier believes it is important to examine the consequences thoroughly and why she actively participates in the public debate. Not just on issues relating to digitalisation. She also brings to the surface problems that society would otherwise ignore. She publishes articles for NRC and Trouw, among others, and currently writes columns for the Volkskrant. She also co-founded the philosophy blog Bij nader inzien [On reflection] and is a regular guest on talk shows to interpret social issues from a philosophical perspective. Fleur Jongepier recently decided to leave science and continue her public philosophy work. She is currently writing the book Bergfilosofie [Mountain Philosophy], in which she aims to show how the mountains can help us think more clearly about themes such as physicality, identity, climate, work, and digital tranquillity.

Lorena De Vita

2024-09-26T12:02:42+02:00

Lorena De Vita (1987), an Assistant Professor in the history of international relations at Utrecht University, is the recipient of the Heineken Young Scientists Award in the Humanities. The jury praises her unique approach within the field of international relations, focusing not on the history of conflict but on the subsequent reconciliation. In doing so, she contributes to the contemporary understanding of the context and conditions surrounding reconciliation and repair.

Charlene de Carvalho-Heineken established the Heineken Young Scientists Awards in 2010 to honour young scientific talent for their outstanding achievements. Since then, the prize has been awarded every two years to four highly promising young researchers affiliated with a Dutch university or research institute and who are working in one of the following domains: Medical/Biomedical Sciences, Humanities, Natural Sciences, and Social Sciences. Each laureate receives an unrestricted cash prize of €15,000 as a reward.

About the research
Lorena De Vita studies the international history of reconciliation and repair. Historical research into international relations often focuses on wars and conflicts, but De Vita focuses instead on what happens afterwards: the reconciliation between peoples and countries after massive human rights violations. In doing so, she tries to discover the conditions for reconciliation, why it has succeeded in some cases and not in others, and who the protagonists are. Her research includes not only prominent figures such as prime ministers and foreign ministers, but also scientists, diplomatic staff, lawyers, and journalists.

Among other topics, De Vita has examined how Germany and Israel reconciled after the Holocaust. In her book Israelpolitik – German-Israeli Relations, 1949-1969, she concludes that the reconciliation succeeded partly because of concrete interests on both sides. She is currently researching how repair is possible after massive human rights violations, such as those during the Holocaust. For this, she is studying, among other things, the diaries of German lawyer Otto Küster, who was part of the negotiations about reparation measurements for Holocaust survivors.

There is an ongoing societal debate about how to ‘repair’ various historical events such as slavery, colonialism, and genocide. Through her research, De Vita hopes to offer insight into what this form of repair entails in an international context and what is needed to achieve it.

Jury praises unique approach and social relevance
The jury honours De Vita’s distinctive approach to international relations through the lens of reconciliation. Her in-depth archival work and use of primary sources are greatly appreciated by the jury. While the word ‘reparations’ regularly features in the news when it comes to colonial history, slavery, and racism, it is far from clear what this might mean in the international context. The jury commends De Vita’s research for clarifying this by describing histories of reparations and reconciliation between countries and peoples. The jury appreciates the social relevance of her work and its active role in public debate. Through her research, De Vita contributes in her own way to understanding a current issue and demonstrates the relevance of the humanities to societal challenges

About Lorena De Vita
Lorena De Vita (1987) studied political science and international relations at Roma Tre University and the London School of Economics and Political Science. In 2016, she received her PhD in international history from Aberystwyth University in Wales and has been an Assistant Professor in the history of international relations at Utrecht University since 2017. During her career, she has received several fellowships. She was, for instance, Joseph Wulf Fellow at the Memorial House of the Wannsee Conference in Berlin in 2015, Visiting Research Fellow at the Hebrew University of Jerusalem in 2019, and Visiting Scholar at the University of Oxford in 2023.

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Lorena De Vita, Assistant Professor

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