In vivo TurboID labeling for paired proteomic and transcriptomic profiling of neurons and astrocytes
Christina C Ramelow, Hailian Xiao, Lihong Cheng, Prateek Kumar, Eric B Dammer, Maureen Sampson, Ruth S Nelson, Sneha Malepati, Qi Quo, Pritha Bagchi, Duc M Duong, Nicholas T Seyfried, Steven A Sloan, Srikant Rangaraju · 2025
Read In vivo TurboID labeling for paired proteomic and transcriptomic profiling of neurons and astrocytes by Christina C Ramelow, Hailian Xiao, Lihong Cheng, Prateek Kumar, Eric B Dammer, Maureen Sampson, Ruth S Nelson, Sneha Malepati, Qi Quo, Pritha Bagchi, Duc M Duong, Nicholas T Seyfried, Steven A Sloan, Srikant Rangaraju (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11710557.txt.
Description
Christina C Ramelow, Hailian Xiao, and a large team of co-authors extend a labeling method that reads proteins and RNA from one chosen brain cell type at a time. Their 2025 study uses an enzyme called TurboID, switched on only in neurons or astrocytes in living mice through a genetic trick. The enzyme tags nearby proteins with biotin for later capture.
The group found the tagging also sweeps up many RNA binding and ribosomal proteins. They therefore extended the method to harvest matching RNA profiles from the same cells. Crosses with cell specific mouse lines drive the astrocyte and neuron versions. Paired protein and RNA maps from each cell type could expose fresh drug targets for Alzheimer's disease, the team's stated goal.
Catalog record
| CREATOR | Christina C Ramelow, Hailian Xiao, Lihong Cheng, Prateek Kumar, Eric B Dammer, Maureen Sampson, Ruth S Nelson, Sneha Malepati, Qi Quo, Pritha Bagchi, Duc M Duong, Nicholas T Seyfried, Steven A Sloan, Srikant Rangaraju |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |