| Title |
Differences between immunodeficient mice generated by classical gene targeting and CRISPR/Cas9-mediated gene knockout
|
|---|---|
| Published in |
Transgenic Research, March 2018
|
| DOI | 10.1007/s11248-018-0069-y |
| Pubmed ID | |
| Authors |
Jae Hoon Lee, Jong-Hyung Park, Tae-Wook Nam, Sun-Min Seo, Jun-Young Kim, Han-Kyul Lee, Jong Hyun Han, Song Yi Park, Yang-Kyu Choi, Han-Woong Lee |
| Abstract |
Immunodeficient mice are widely used for pre-clinical studies to understand various human diseases. Here, we report the generation of four immunodeficient mouse models using CRISPR/Cas9 system without inserting any foreign gene sequences such as NeoRcassettes and their characterization. By eliminating any possible effects of adding a NeoRcassette, our mouse models may allow us to better elucidate the in vivo functions of each gene. Our FVB-Rag2-/-, B6-Rag2-/-, and BALB/c-Prkdc-/-mice showed phenotypes similar to those of the earlier immunodeficient mouse models, including a lack of mature B cells and T cells and an increase in the number of CD45+DX-5+natural killer cells. However, B6-Il2rg-/-mice had a unique phenotype, with a lack of mature B cells, increased number of T cells, and decreased number of natural killer cells. Additionally, serum immunoglobulin levels in all four immunodeficient mouse models were significantly reduced when compared to those in wild-type mice with the exception of IgM in B6-Il2rg-/-mice. These results indicate that our immunodeficient mouse models are a robust tool for in vivo studies of the immune system and will provide new insights into the variation in phenotypic outcomes resulting from different gene-targeting methodologies. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 4 | 20% |
| Sweden | 2 | 10% |
| Australia | 2 | 10% |
| United Kingdom | 2 | 10% |
| Spain | 1 | 5% |
| Singapore | 1 | 5% |
| France | 1 | 5% |
| Russia | 1 | 5% |
| Unknown | 6 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 70% |
| Scientists | 4 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 17% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 8 | 27% |
| Unknown | 10 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 27 October 2022.
All research outputs
#2,448,170
of 23,585,652 outputs
Outputs from Transgenic Research
#70
of 909 outputs
Outputs of similar age
#53,374
of 330,895 outputs
Outputs of similar age from Transgenic Research
#2
of 13 outputs
Altmetric has tracked 23,585,652 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 92% 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 330,895 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.