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The emerging field of single-cell proteomics is undergoing a phase of rapid technology development, including advances in mass spectrometry-based methods and single-molecule protein sequencing approaches.
Image: Luis Schachner / Dream by WOMBO / DALL-E by OpenAI
Selected, recent articles from across the Nature Portfolio that document the recent progress in understanding the biology of EV-mediated cell–cell communication and advances in clinical translation of EVs.
One of the fundamental biological processes in life is the cell cycle leading from DNA replication to cell division. While it has been studied for decades and our knowledge has matured, sophisticated experimental approaches have rejuvenated the field. In addition, cell cycle regulators have emerged as cancer therapy targets. This collection showcases ground-breaking cell cycle papers and reviews, ranging from basic discoveries to clinical applications.
Recent technological progress has facilitated the study of how embryos develop, how embryonic cells transition between different states, how adult stem cells are maintained and differentiate, at unprecedented resolution.
Protein structure prediction is our Method of the Year 2021, for the remarkable levels of accuracy achieved by deep learning-based methods in predicting the 3D structures of proteins and protein complexes, essentially solving this long-standing challenge.