| Title |
Mapping disulfide bonds from sub-micrograms of purified proteins or micrograms of complex protein mixtures
|
|---|---|
| Published in |
Biophysics Reports, April 2018
|
| DOI | 10.1007/s41048-018-0050-6 |
| Pubmed ID | |
| Authors |
Shan Lu, Yong Cao, Sheng-Bo Fan, Zhen-Lin Chen, Run-Qian Fang, Si-Min He, Meng-Qiu Dong |
| Abstract |
Disulfide bonds are vital for protein functions, but locating the linkage sites has been a challenge in protein chemistry, especially when the quantity of a sample is small or the complexity is high. In 2015, our laboratory developed a sensitive and efficient method for mapping protein disulfide bonds from simple or complex samples (Lu et al. in Nat Methods 12:329, 2015). This method is based on liquid chromatography-mass spectrometry (LC-MS) and a powerful data analysis software tool named pLink. To facilitate application of this method, we present step-by-step disulfide mapping protocols for three types of samples-purified proteins in solution, proteins in SDS-PAGE gels, and complex protein mixtures in solution. The minimum amount of protein required for this method can be as low as several hundred nanograms for purified proteins, or tens of micrograms for a mixture of hundreds of proteins. The entire workflow-from sample preparation to LC-MS and data analysis-is described in great detail. We believe that this protocol can be easily implemented in any laboratory with access to a fast-scanning, high-resolution, and accurate-mass LC-MS system. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 16% |
| Researcher | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 5 | 20% |
| Unknown | 4 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 32% |
| Chemistry | 5 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 20% |
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 10 July 2018.
All research outputs
#18,641,800
of 23,094,276 outputs
Outputs from Biophysics Reports
#24
of 32 outputs
Outputs of similar age
#253,431
of 326,652 outputs
Outputs of similar age from Biophysics Reports
#2
of 3 outputs
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