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Rudolf Aebersold is a Swiss biologist, regarded as a pioneer in the fields of proteomics and systems biology. He has primarily researched techniques for measuring proteins in complex samples, in many cases via mass spectrometry. Ruedi Aebersold is a professor of Systems biology at the Institute of Molecular Systems Biology (IMSB) in ETH Zurich. He was one of the founders of the Institute for Systems Biology in Seattle, Washington, where he previously had a research group.
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The Human Protein Atlas (HPA) is a Swedish-based program started in 2003 with the aim to map all the human proteins in cells, tissues and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome. In June 2023, version 23 was launched where a new Interaction section was introduced containing human protein-protein interaction networks for more than 11,000 genes that will add new aspects in terms of protein function.
In the field of cellular biology, single-cell analysis and subcellular analysis is the study of genomics, transcriptomics, proteomics, metabolomics and cell–cell interactions at the single cell level. The concept of single-cell analysis originated in the 1970s. Before the discovery of heterogeneity, single-cell analysis mainly referred to the analysis or manipulation of an individual cell in a bulk population of cells at a particular condition using optical or electronic microscope. To date, due to the heterogeneity seen in both eukaryotic and prokaryotic cell populations, analyzing a single cell makes it possible to discover mechanisms not seen when studying a bulk population of cells. Technologies such as fluorescence-activated cell sorting (FACS) allow the precise isolation of selected single cells from complex samples, while high throughput single cell partitioning technologies, enable the simultaneous molecular analysis of hundreds or thousands of single unsorted cells; this is particularly useful for the analysis of transcriptome variation in genotypically identical cells, allowing the definition of otherwise undetectable cell subtypes. The development of new technologies is increasing our ability to analyze the genome and transcriptome of single cells, as well as to quantify their proteome and metabolome. Mass spectrometry techniques have become important analytical tools for proteomic and metabolomic analysis of single cells. Recent advances have enabled quantifying thousands of protein across hundreds of single cells, and thus make possible new types of analysis. In situ sequencing and fluorescence in situ hybridization (FISH) do not require that cells be isolated and are increasingly being used for analysis of tissues.
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Ronald Charles Beavis is a Canadian protein biochemist, who has been involved in the application of mass spectrometry to protein primary structure, with applications in the fields of proteomics and analytical biochemistry. He has developed methods for measuring the identity and post-translational modification state of proteins obtained from biological samples using mass spectrometry. He is currently best known for developing new methods for analyzing proteomics data and applying the results of these methods to problems in computational biology.
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Mathias Uhlén is a Swedish scientist and Professor of Microbiology at Royal Institute of Technology (KTH), Stockholm. After a post-doc period at the EMBL in Heidelberg, Germany, he became professor in microbiology at KTH in 1988. His research is focused on protein science, antibody engineering and precision medicine and range from basic research in human and microbial biology to more applied research, including clinical applications. He is member of several academies and societies, including Royal Swedish Academy of Science (KVA), National Academy of Engineering (NAE) and the Swedish Academy of Engineering Science (IVA). Dr Uhlen was the Founding Director of the national infrastructure Science for Life Laboratory (SciLifeLab) from 2010-2015
Paola Picotti is an Italian biologist who is Professor for Molecular Systems Biology at ETH Zürich. She is Deputy Head of the Institute for Molecular Systems Biology. Her research investigates how the conformational changes of proteins impact cellular networks. She was awarded the 2020 ETH Zürich Rössler Prize and the 2019 EMBO Gold Medal.
Kathryn S Lilley is a professor of biochemistry at the University of Cambridge, director of the Cambridge Center for Proteomics, and an elected member of the European Molecular Biology Organization (EMBO).
Ilaria Testa is an Italian-born scientist who is a Fellow at the SciLifeLab in Stockholm and an Associate Professor at the Department of Applied Physics at the School of Engineering Science at the KTH Royal Institute of Technology. She has made major contributions to advanced microscopy, particularly superresolution microscopy.
References
- ↑ "Emma Lundberg". SciLifeLab. Retrieved 2022-03-13.
- ↑ "Mapping of cells and proteins improved with help of gamers and AI". KTH. Retrieved 2022-03-13.
- ↑ Armitage, Hanae (2018-08-22). "Massive online space game refines protein localization". Scope. Retrieved 2022-03-13.
- ↑ Vogt, Nina (October 2018). "Raising the game in image classification". Nature Methods. 15 (10): 759. doi:10.1038/s41592-018-0162-4. ISSN 1548-7105. PMID 30275575. S2CID 205573216.
- ↑ "Lundberg Lab". cellprofiling.org. Retrieved 2022-03-13.
- 1 2 3 Lundberg, Emma; Communications, Corporate (2022-01-10). "Applying AI and Machine Learning in Microscopy and Image Analysis".
{{cite journal}}: Cite journal requires|journal=(help) - ↑ "We might not know half of what's in our cells, new AI technique reveals". ScienceDaily. Retrieved 2022-03-13.
- ↑ Philippidis, Alex (2018-05-21). "Top 10 Under 40". GEN - Genetic Engineering and Biotechnology News. Retrieved 2022-03-13.
- ↑ "Latest RMS Scientific Achievement Award winners announced". Wiley Analytical Science. Retrieved 2022-03-13.
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