| Title |
Precision toxicology based on single cell sequencing: an evolving trend in toxicological evaluations and mechanism exploration
|
|---|---|
| Published in |
Archives of Toxicology, April 2017
|
| DOI | 10.1007/s00204-017-1971-4 |
| Pubmed ID | |
| Authors |
Boyang Zhang, Kunlun Huang, Liye Zhu, Yunbo Luo, Wentao Xu |
| Abstract |
In this review, we introduce a new concept, precision toxicology: the mode of action of chemical- or drug-induced toxicity can be sensitively and specifically investigated by isolating a small group of cells or even a single cell with typical phenotype of interest followed by a single cell sequencing-based analysis. Precision toxicology can contribute to the better detection of subtle intracellular changes in response to exogenous substrates, and thus help researchers find solutions to control or relieve the toxicological effects that are serious threats to human health. We give examples for single cell isolation and recommend laser capture microdissection for in vivo studies and flow cytometric sorting for in vitro studies. In addition, we introduce the procedures for single cell sequencing and describe the expected application of these techniques to toxicological evaluations and mechanism exploration, which we believe will become a trend in toxicology. |
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 % |
|---|---|---|
| Austria | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Master | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 10 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Agricultural and Biological Sciences | 4 | 14% |
| Engineering | 2 | 7% |
| Environmental Science | 2 | 7% |
| Unspecified | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 12 | 43% |
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 30 April 2017.
All research outputs
#18,546,002
of 22,968,808 outputs
Outputs from Archives of Toxicology
#2,198
of 2,648 outputs
Outputs of similar age
#235,300
of 309,813 outputs
Outputs of similar age from Archives of Toxicology
#23
of 31 outputs
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