| Title |
Single-molecule fluorescence-based analysis of protein conformation, interaction, and oligomerization in cellular systems
|
|---|---|
| Published in |
Biophysical Reviews, December 2017
|
| DOI | 10.1007/s12551-017-0366-3 |
| Pubmed ID | |
| Authors |
Kenji Okamoto, Michio Hiroshima, Yasushi Sako |
| Abstract |
Single-molecule imaging (SMI) of proteins in operation has a history of intensive investigations over 20 years and is now widely used in various fields of biology and biotechnology. We review the recent advances in SMI of fluorescently-tagged proteins in structural biology, focusing on technical applicability of SMI to the measurements in living cells. Basic technologies and recent applications of SMI in structural biology are introduced. Distinct from other methods in structural biology, SMI directly observes single molecules and single-molecule events one-by-one, thus, explicitly analyzing the distribution of protein structures and the history of protein dynamics. It also allows one to detect single events of protein interaction. One unique feature of SMI is that it is applicable in complicated and heterogeneous environments, including living cells. The numbers, location, movements, interaction, oligomerization, and conformation of single-protein molecules have been determined using SMI in cellular systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 32% |
| Student > Bachelor | 9 | 17% |
| Student > Master | 8 | 15% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 42% |
| Agricultural and Biological Sciences | 8 | 15% |
| Chemistry | 5 | 9% |
| Physics and Astronomy | 4 | 8% |
| Unspecified | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 December 2017.
All research outputs
#20,456,235
of 23,012,811 outputs
Outputs from Biophysical Reviews
#704
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Outputs of similar age
#374,712
of 439,309 outputs
Outputs of similar age from Biophysical Reviews
#32
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