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TP53 gene mutation analysis in chronic lymphocytic leukemia by nanopore MinION sequencing

Overview of attention for article published in Diagnostic Pathology, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 1,133)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 news outlet
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4 X users
googleplus
1 Google+ user

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
147 Mendeley
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2 CiteULike
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Title
TP53 gene mutation analysis in chronic lymphocytic leukemia by nanopore MinION sequencing
Published in
Diagnostic Pathology, October 2016
DOI 10.1186/s13000-016-0550-y
Pubmed ID
Authors

Crescenzio Francesco Minervini, Cosimo Cumbo, Paola Orsini, Claudia Brunetti, Luisa Anelli, Antonella Zagaria, Angela Minervini, Paola Casieri, Nicoletta Coccaro, Giuseppina Tota, Luciana Impera, Annamaria Giordano, Giorgina Specchia, Francesco Albano

Abstract

The assessment of TP53 mutational status is becoming a routine clinical practice for chronic lymphocytic leukemia patients (CLL). A broad spectrum of molecular techniques has been employed so far, including both direct Sanger sequencing and next generation sequencing. Oxford Nanopore Technologies recently released the MinION an USB-interfaced sequencer. In this paper we report our experience, with the MinION technology for the detection of the TP53 gene mutation in CLL patients. Twelve CLL patients at diagnosis were included in this study. All except one patient showed the TP53 gene deletion in Fluorescence in situ hybridization experiments. Patients were investigated for TP53 mutation by Sanger and by MinION sequencing. Analysis by Sanger was performed according with the IARC protocol. Analysis by MinION was performed adopting a strategy based on long template PCR, read error correction, and post variant calling filtering. Due to the high error rate of nanopore technology, sequence data were both used directly and before correction with two different in silico methods: ALEC and nanocorrect. A mean error rate of 15 % was detected before correction that was reduced to 4-5 % after correction. Analysis by Sanger sequencing was able to detect four patients mutated for TP53. MinION analysis detected one more mutated patient previously not detected from Sanger. In our hands, the Nanopore technology shows correlation with Sanger sequencing but more sensitive, manageable and less expensive, and therefore has proven to be a useful tool for TP53 gene mutation detection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 1%
United Kingdom 1 <1%
Uruguay 1 <1%
United States 1 <1%
Unknown 142 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 21%
Student > Bachelor 17 12%
Student > Master 16 11%
Student > Ph. D. Student 15 10%
Other 15 10%
Other 25 17%
Unknown 28 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 32%
Agricultural and Biological Sciences 29 20%
Medicine and Dentistry 8 5%
Engineering 7 5%
Immunology and Microbiology 6 4%
Other 20 14%
Unknown 30 20%
Attention Score in Context

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 19 January 2018.
All research outputs
#2,453,668
of 22,896,955 outputs
Outputs from Diagnostic Pathology
#33
of 1,133 outputs
Outputs of similar age
#44,681
of 320,105 outputs
Outputs of similar age from Diagnostic Pathology
#1
of 11 outputs
Altmetric has tracked 22,896,955 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 1,133 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 97% 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 320,105 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 86% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.