↓ Skip to main content

Rapid detection of immunoglobulin heavy chain gene rearrangement by PCR and melting curve analysis using combined FR2 and FR3 primers

Overview of attention for article published in Diagnostic Pathology, August 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Rapid detection of immunoglobulin heavy chain gene rearrangement by PCR and melting curve analysis using combined FR2 and FR3 primers
Published in
Diagnostic Pathology, August 2015
DOI 10.1186/s13000-015-0370-5
Pubmed ID
Authors

Danfei Xu, Zhuo Yang, Donghong Zhang, Wei Wu, Ye Guo, Qian Chen, Dongsheng Xu, Wei Cui

Abstract

Immunoglobulin heavy chain (IgH) gene rearrangement test is a standard tool in diagnosing B-cell lymphoma. The BIOMED-2 multiplex PCR protocol has become the most commonly used laboratory method for detecting clonal IgH gene rearrangement. However, post-PCR procedure requires manual transfer of PCR product for analysis and is time-consuming. A novel strategy using LightCycler to continuously monitor fluorescence during melting curve analysis (MCA) can overcome these shortcomings. The previous studies published on this method were all restricted to FR3 primers of BIOMED-2. Real-time PCR and subsequent MCA were performed on 71 clinical DNA samples from formalin-fixed, paraffin-embedded tissues, including 40 with B-cell non-Hodgkin lymphomas and 31 with reactive lymphoid hyperplasia. We optimized the current method using FR3 primers and applied FR2 primers for the first time into MCA to detect IgH gene rearrangement. Polyacrylamide gel electrophoresis and capillary gel electrophoresis were also performed on all lymphoma samples with the identical FR2 primers. MCA of combined FR2 and FR3 primer sets yielded the sensitivity and the specificity equal to 70 % (28/40) and 100 % (31/31), respectively. Addition of FR2 primers increased the sensitivity by 12.5 % (5/40) comparing to FR3 primers alone. MCA was slightly more sensitive than polyacrylamide gel electrophoresis and comparable to capillary gel electrophoresis to detect clonal IgH gene rearrangement. Combined PCR and DNA melting curve analysis in a closed system can reduce cross-contamination risk. This method can test 96 samples simultaneously within 90 min and therefore, it is high-throughput and faster. PCR-MCA in the LightCycler system has potential for evaluating monoclonal IgH gene rearrangement in a clinical environment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Unspecified 1 7%
Other 1 7%
Professor 1 7%
Student > Master 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Arts and Humanities 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unspecified 1 7%
Agricultural and Biological Sciences 1 7%
Other 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 August 2015.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Diagnostic Pathology
#459
of 1,193 outputs
Outputs of similar age
#146,281
of 275,632 outputs
Outputs of similar age from Diagnostic Pathology
#53
of 85 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,193 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 56% 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 275,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.