| Title |
Construction of a pTOC-T vector using GST-ParE toxin for direct cloning and selection of PCR products
|
|---|---|
| Published in |
Biotechnology Techniques, November 2004
|
| DOI | 10.1007/s10529-004-3518-z |
| Pubmed ID | |
| Authors |
Han Geun Kim, Hye Sun Kim, Hyun Jin Hwang, Sung Kyun Chung, Jung Min Lee, Dae Kyun Chung |
| Abstract |
Using linker insertion mutations, we determined the most stable region of the parE gene which encodes a toxic protein (ParE) that inhibits growth of Escherichia coli. The toxicity of ParE was sustained until a 144 bp linker was inserted into this region. We have developed a 3' T-overhang vector based on these characteristics of the GST-ParE toxin, and named pTOC-T. Because pTOC-T uses a post-segregational killing system, all transformants grown up on the plates can be considered as recombinants containing foreign DNA. pTOC-T not require X-Gal, IPTG or other substrates for selection. This T-vector using a positive selection system can be applied to various E. coli strains such as XL1-Blue, BL21, DH5alpha, JM109, and JM110. |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 13% |
| Professor | 1 | 13% |
| Student > Master | 1 | 13% |
| Researcher | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 38% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Sports and Recreations | 1 | 13% |
| Chemistry | 1 | 13% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 11 August 2016.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Biotechnology Techniques
#264
of 2,762 outputs
Outputs of similar age
#12,488
of 74,814 outputs
Outputs of similar age from Biotechnology Techniques
#5
of 20 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 74% 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 74,814 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.