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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of new Corynebacterium pseudotuberculosis antigens by immunoscreening of gene expression library
|
|---|---|
| Published in |
BMC Microbiology, September 2017
|
| DOI | 10.1186/s12866-017-1110-7 |
| Pubmed ID | |
| Authors |
Cleber Eduardo Galvão, Stenio Perdigão Fragoso, Carina Elisei de Oliveira, Odinéia Forner, Renata Ribeiro Bastos Pereira, Cleber Oliveira Soares, Grácia Maria Soares Rosinha |
| Abstract |
Caseous lymphadenitis (CLA) is a disease that affects sheep, goats and occasionally humans. The etiologic agent is the Corynebacterium pseudotuberculosis bacillus. The objective of this study was to build a gene expression library from C. pseudotuberculosis and use immunoscreening to identify genes that encode potential antigenic proteins for the development of DNA and subunit vaccines against CLA. A wild strain of C. pseudotuberculosis was used for extraction and partial digestion of genomic DNA. Sequences between 1000 and 5000 base pairs (bp) were excised from the gel, purified, and the digested DNA fragments were joined to bacteriophage vector ZAP Express, packaged into phage and transfected into Escherichia coli. For immunoscreening a positive sheep sera pool and a negative sera pool for CLA were used. Four clones were identified that strongly reacted to sera. The clones were confirmed by polymerase chain reaction (PCR) followed by sequencing for genomic comparison of C. pseudotuberculosis in GenBank. The genes identified were dak2, fagA, fagB, NlpC/P60 protein family and LPxTG putative protein family. Proteins of this type can be antigenic which could aid in the development of subunit or DNA vaccines against CLA as well as in the development of serological tests for diagnosis. Immunoscreening of the gene expression library was shown to be a sensitive and efficient technique to identify probable immunodominant genes. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 16% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 4 | 9% |
| Researcher | 3 | 7% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 17 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Agricultural and Biological Sciences | 5 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 20 | 47% |
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 25 September 2017.
All research outputs
#17,915,942
of 23,003,906 outputs
Outputs from BMC Microbiology
#2,020
of 3,208 outputs
Outputs of similar age
#228,338
of 318,503 outputs
Outputs of similar age from BMC Microbiology
#19
of 40 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,208 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 318,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.