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Pipeline for specific subtype amplification and drug resistance detection in hepatitis C virus

Overview of attention for article published in BMC Infectious Diseases, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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1 X user
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1 Wikipedia page

Citations

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30 Dimensions

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56 Mendeley
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Title
Pipeline for specific subtype amplification and drug resistance detection in hepatitis C virus
Published in
BMC Infectious Diseases, September 2018
DOI 10.1186/s12879-018-3356-6
Pubmed ID
Authors

María Eugenia Soria, Josep Gregori, Qian Chen, Damir García-Cehic, Meritxell Llorens, Ana I. de Ávila, Nathan M. Beach, Esteban Domingo, Francisco Rodríguez-Frías, María Buti, Rafael Esteban, Juan Ignacio Esteban, Josep Quer, Celia Perales

Abstract

Despite the high sustained virological response rates achieved with current directly-acting antiviral agents (DAAs) against hepatitis C virus (HCV), around 5-10% of treated patients do not respond to current antiviral therapies, and basal resistance to DAAs is increasingly detected among treatment-naïve infected individuals. Identification of amino acid substitutions (including those in minority variants) associated with treatment failure requires analytical designs that take into account the high diversification of HCV in more than 86 subtypes according to the ICTV website (June 2017). The methodology has involved five sequential steps: (i) to design 280 oligonucleotide primers (some including a maximum of three degenerate positions), and of which 120 were tested to amplify NS3, NS5A-, and NS5B-coding regions in a subtype-specific manner, (ii) to define a reference sequence for each subtype, (iii) to perform experimental controls to define a cut-off value for detection of minority amino acids, (iv) to establish bioinformatics' tools to quantify amino acid replacements, and (v) to validate the procedure with patient samples. A robust ultra-deep sequencing procedure to analyze HCV circulating in serum samples from patients infected with virus that belongs to the ten most prevalent subtypes worldwide: 1a, 1b, 2a, 2b, 2c, 2j, 3a, 4d, 4e, 4f has been developed. Oligonucleotide primers are subtype-specific. A cut-off value of 1% mutant frequency has been established for individual mutations and haplotypes. The methodological pipeline described here is adequate to characterize in-depth mutant spectra of HCV populations, and it provides a tool to understand HCV diversification and treatment failures. The pipeline can be periodically extended in the event of HCV diversification into new genotypes or subtypes, and provides a framework applicable to other RNA viral pathogens, with potential to couple detection of drug-resistant mutations with treatment planning.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 25%
Student > Ph. D. Student 8 14%
Student > Master 7 13%
Student > Bachelor 6 11%
Student > Doctoral Student 3 5%
Other 8 14%
Unknown 10 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 39%
Medicine and Dentistry 8 14%
Agricultural and Biological Sciences 5 9%
Immunology and Microbiology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 11%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 September 2018.
All research outputs
#7,062,183
of 23,102,082 outputs
Outputs from BMC Infectious Diseases
#2,286
of 7,752 outputs
Outputs of similar age
#123,182
of 335,675 outputs
Outputs of similar age from BMC Infectious Diseases
#44
of 158 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,752 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 69% 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 335,675 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 62% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.