Emma Lundberg | |
|---|---|
| Alma mater | KTH Royal Institute of Technology |
| Scientific career | |
| Institutions | Science for Life Laboratory KTH Royal Institute of Technology |
| Thesis | Bioimaging for analysis of protein expression in cells and tissues using affinity reagents (2008) |
Emma Lundberg is a Swedish cell biologist who is a professor at KTH Royal Institute of Technology and Director of Cell Profiling at the Science for Life Laboratory. Her research considers spatial proteomics and cell biology, making use of an antibody-based approach to assess fundamental aspects of human biology. She looks to understand why certain variations in human proteins can cause disease.
Early life and education[edit]
Lundberg was an undergraduate and postgraduate student at the KTH Royal Institute of Technology. Her doctoral research introduced bio imaging as a means to understand expression in cells.[citation needed]
Research and career[edit]
Lundberg combines computational investigations with experimental analysis to identify the spatiotemporal expression of proteins at the level of single cells. Eukaryotic cells can support multiple processes in parallel due to the compartmentalisation of biological processes. Each specific compartment describes a particular cellular function and the molecular controllers required to complete a specific function. When defects occur within the compartments, they can give rise to various forms of human disease.[1]
Lundberg seeks to facilitate access to science and science communication. She created the human protein atlas the Cell Atlas, which looks to identify the sub cellular localisation of all human proteins. She was involved with the launch of “Project Discovery”, a citizen science project that uses members of the public to classify protein patterns.[2] She integrated this project with Eve Online, a gaming platform.[3][4]
Lundberg spent over two years at the Stanford School of Medicine.[5] She has since made use of artificial intelligence to better understand microscopy images.[6] The models created by Lundberg assist with image acquisition, processing and analysis. They can be used to segment data, enabling statistical analysis. Preliminary work indicated that human cells were considerably more complex than previously thought, including proteins that form into unfamiliar structures.[7]
Awards and honours[edit]
- 2016 Wallenberg Academy Fellow[6]
- 2017 Swedish National Association of Chemical Engineers (Sveriges Kemiingenjörers Riksförening -SKR) annual prize[6]
- 2018 Genetic Engineering & Biotechnology News Top 10 Under 40[8]
- 2021 Royal Microscopical Society Scientific Achievement Award[9]
Selected publications[edit]
- Uhlen M; Oksvold P; Fagerberg L; et al. (December 2010). "Towards a knowledge-based Human Protein Atlas". Nature Biotechnology. 28 (12): 1248–50. doi:10.1038/NBT1210-1248. ISSN 1087-0156. PMID 21139605. Wikidata Q29617987.
- Emma Lundberg; Linn Fagerberg; Daniel Klevebring; et al. (1 December 2010). "Defining the transcriptome and proteome in three functionally different human cell lines". Molecular Systems Biology. 6: 450. doi:10.1038/MSB.2010.106. ISSN 1744-4292. PMC 3018165. PMID 21179022. Wikidata Q34476804.
- Peter Thul; Lovisa Åkesson; Mikaela Wiking; et al. (11 May 2017). "A subcellular map of the human proteome". Science. 356 (6340). doi:10.1126/SCIENCE.AAL3321. ISSN 0036-8075. PMID 28495876. Wikidata Q48155823.
References[edit]
- ^ "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.
- ^ a b c 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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