// NATURE NEWS — SPAZIO & SCIENZA
Give biologists the space to be curious, not just better tools
Edith Heard is the chief executive of the Francis Crick Institute, London.
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As the Francis Crick Institute in London celebrates its tenth anniversary and I look back on my first year as chief executive, I find myself reflecting on both how much has been achieved and how profoundly life science is changing.
As an epigeneticist, I can safely say that history and context matter. When I began my scientific career in the 1980s, experiments were painstaking, time-consuming, expensive and repetitive. Generating a knockout mouse or sequencing a gene could take weeks or months, and required resources that were available at few institutions.
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Biology has since entered an extraordinary era. It is increasingly multidisciplinary, and researchers have an unprecedented range of technologies at their disposal, from single-cell and spatial biology techniques to advanced imaging, genome editing, tissue engineering and computational approaches.
Artificial intelligence is also transforming science. Its ability to bring together complex data sets offers fresh ways to connect the study of biology across scales, from molecules and cells to individual organisms and populations. It is also enabling the democratization of discovery and knowledge. Google DeepMind’s AlphaFold system, for example, has made predictions of millions of protein structures available to researchers worldwide.
Biologists are poised to at last understand the complexity of life: the influence of the environment, ageing and sex, alongside genetics, on the differences between us. Among the questions to which answers are within reach are how the genetic code gives rise to a living organism; how the control and expression of genes varies during development; how tissues communicate and bodily functions depend on one another; and why diseases develop differently in different people and treatments work for some but not others.
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Reductionism has served biology well, giving us a deep mechanistic understanding of life, health and disease. But many features of living systems cannot be predicted from their individual parts alone. They emerge from interactions between components and depend on the context in which those interactions occur.