| Title |
Labeling and identifying cell-specific proteomes in the mouse brain
|
|---|---|
| Published in |
Nature Biotechnology, December 2017
|
| DOI | 10.1038/nbt.4056 |
| Pubmed ID | |
| Authors |
Toke P Krogager, Russell J Ernst, Thomas S Elliott, Laura Calo, Václav Beránek, Ernesto Ciabatti, Maria Grazia Spillantini, Marco Tripodi, Michael H Hastings, Jason W Chin |
| Abstract |
We develop an approach to tag proteomes synthesized by specific cell types in dissociated cortex, brain slices, and the brains of live mice. By viral-mediated expression of an orthogonal pyrrolysyl-tRNA synthetase-tRNAXXX pair in a cell type of interest and providing a non-canonical amino acid with a chemical handle, we selectively label neuronal or glial proteomes. The method enables the identification of proteins from spatially and genetically defined regions of the brain. |
X Demographics
The data shown below were collected from the profiles of 67 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 24% |
| United Kingdom | 14 | 21% |
| Portugal | 3 | 4% |
| France | 2 | 3% |
| Spain | 1 | 1% |
| Malaysia | 1 | 1% |
| Mexico | 1 | 1% |
| Japan | 1 | 1% |
| Australia | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 21 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 66% |
| Scientists | 21 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 26% |
| Researcher | 42 | 20% |
| Student > Bachelor | 27 | 13% |
| Student > Master | 12 | 6% |
| Student > Doctoral Student | 11 | 5% |
| Other | 31 | 15% |
| Unknown | 33 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 71 | 34% |
| Agricultural and Biological Sciences | 29 | 14% |
| Neuroscience | 26 | 12% |
| Chemistry | 23 | 11% |
| Medicine and Dentistry | 6 | 3% |
| Other | 21 | 10% |
| Unknown | 34 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2018.
All research outputs
#1,023,566
of 24,187,394 outputs
Outputs from Nature Biotechnology
#1,835
of 8,517 outputs
Outputs of similar age
#24,442
of 447,958 outputs
Outputs of similar age from Nature Biotechnology
#36
of 86 outputs
Altmetric has tracked 24,187,394 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.6. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.