CIL: 53917
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Zhang, Haitao; Cao, Xiaolei; Tang, Mei; Zhong, Guoxuan; Si, Yuan; Li, Haidong; Zhu, Feifeng; Liao, Qinghua; Li, Liuju; Zhao, Jianhui; Feng, Jia; Li, Shuaifeng; Wang, Chenliang; Kaulich, Manuel; Wang, Fangwei; Chen, Liangyi; L, Li; Xia, Zongping; Liang, Tingbo; Lu, Huasong; Feng, Xin-Hua; Zhao, Bin (2022). CIL: 53917. In Cell Image Library. UC San Diego Library Digital Collections. Dataset. https://doi.org/10.6075/J0JD4WHJ
- Description
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OTHER family: The human kinome comprises 538 kinases playing essential cellular functions by catalyzing protein phosphorylations. Systematic annotation of subcellular spatial distribution of the kinome greatly facilitates investigation of normal and disease mechanisms. Here, we present Kinome Atlas (KA), an image-based map of the kinome annotated to 10 compartments of the cell. 456 epitope-tagged kinases, representing 85% of the human kinome, were expressed in HeLa cells and imaged by immunofluorescent microscopy under a unified condition. KA revealed kinase family-enriched subcellular localizations, and discovered a collection of new kinase localizations at mitochondria, plasma membrane, extracellular space, and other unique structures. This resource provides the first snapshot of the kinome under a unified condition, and is a key step toward comprehensive understanding of the spatial and temporal dynamics of the kinome in physiological and disease states.
- Date Issued
- 2022
- Researchers
- Methods
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Kinome Atlas documented representative images for 456 kinases expressed in HeLa cells, and visualized by immunofluorescence staining of the epitope tag. Nuclei were stained with DAPI. Two representative views from confocal microscopy were collected for each kinase. Also, organelle markers were co-stained for some kinases to indicate specific localization.
- Technical Details
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Visualization methods: confocal microscopy
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- Identifier
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Samplenumber: 53917
- Related Resource
- Source Record in the Cell Image Library: https://doi.org/10.7295/W9CIL53917
Source data
- License
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
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- UC Regents
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Under copyright (US)
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Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
- Last Modified
2022-11-18