Hongkui Zeng is the Director of the Allen Institute for Brain Science in Seattle, where she leads the creation of open-access datasets and tools to accelerate neuroscience discovery.[1] In 2011-2014 Zeng led the team that created the Allen Mouse Brain Connectivity Atlas,[2] which indicates which regions of the mouse brain are connected to which other regions.[3] Since then, she has led the creation of atlases of neuronal cell types[4][5][6] in the brain of humans and mice.[7]
Hongkui Zeng | |
|---|---|
| Nationality | Chinese, American |
| Education | B.S., Wuhan University; PhD, Brandeis University |
| Known for | Cre mouse lines, large scale atlases of the mouse brain |
| Scientific career | |
| Fields | Neuroscience |
| Institutions | Allen Institute for Brain Science |
| Doctoral advisor | Michael Rosbash |
| Other academic advisors | Susumu Tonegawa |
Biography
editZeng received her Ph.D. in molecular and cell biology from Brandeis University, in the laboratory of Michael Rosbash, where she studied the molecular mechanisms of the circadian clock in fruit flies. Then as a postdoctoral fellow at Massachusetts Institute of Technology, in the laboratory of Susumu Tonegawa she studied the molecular and synaptic mechanisms underlying hippocampus-dependent plasticity and learning. She joined the Allen Institute for Brain Science in 2006.
At the Allen Institute, Zeng led the team that created the Allen Mouse Brain Connectivity Atlas,[2] which indicates which regions of the mouse brain are connected to which other regions. The atlas was published in 2014.[8] It was obtained by injecting the brains of living mice with viruses carrying the gene for the glowing marker green fluorescence protein (GFP). The neurons at each injection site accumulate GFP along their axons, and so point to the other neurons to which they are connected.[3]
Zeng leads the creation of atlases of cell types[4][5][6] in the brain of humans and mice.[7] This work aims to have a systematic understanding of the common and unique properties for each of the brain's neural components - the different types of neuron; to monitor their activities during brain function; and to manipulate these neurons to investigate their function. To gain systematic understanding of the properties, interconnections and functions of these cell types, her team combines genetic tools with large-scale imaging and single-cell analysis technologies.[9]
In 2023, she earned the Pradel Research Award by the National Academy of Sciences and was elected as a member.[10][11]
References
edit- ^ "Hongkui Zeng". alleninstitute.org. Retrieved 2021-05-10.
- ^ a b Begley, Sharon (2014-04-07). "Researchers report that they have created a diagram of a mouse's brain". Washington Post. ISSN 0190-8286. Retrieved 2021-05-10.
- ^ a b Dance, Amber. "A Massive Global Effort Maps How the Brain Is Wired". Scientific American. Retrieved 2021-05-10.
- ^ a b "Neuroscientists draw up a 'parts list' covering 133 different types of brain cells". GeekWire. 2018-11-01. Retrieved 2021-05-10.
- ^ a b "Revealed: New Cortical Neuron Types". The Scientist Magazine®. Retrieved 2021-05-10.
- ^ a b "Overview :: Allen Brain Atlas: Cell Types". celltypes.brain-map.org. Retrieved 2021-05-10.
- ^ a b "Transcriptional Landscape of the Brain - brain-map.org". portal.brain-map.org. Retrieved 2021-05-10.
- ^ Oh, Seung Wook; Harris, Julie A.; Ng, Lydia; Winslow, Brent; Cain, Nicholas; Mihalas, Stefan; Wang, Quanxin; Lau, Chris; Kuan, Leonard; Henry, Alex M.; Mortrud, Marty T. (April 2014). "A mesoscale connectome of the mouse brain". Nature. 508 (7495): 207–214. Bibcode:2014Natur.508..207O. doi:10.1038/nature13186. ISSN 1476-4687. PMC 5102064. PMID 24695228.
- ^ Marx, Vivien (January 2021). "Method of the Year: spatially resolved transcriptomics". Nature Methods. 18 (1): 9–14. doi:10.1038/s41592-020-01033-y. ISSN 1548-7105. PMID 33408395.
- ^ "Pradel Research Award". National Academy of Sciences.
- ^ "National Academy of Sciences Member Directory". National Academy of Sciences.
External links
edit- Hongkui Zeng publications indexed by Google Scholar
- NeuroTree