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Overview of methodologies for T-cell receptor repertoire analysis

Overview of attention for article published in BMC Biotechnology, July 2017
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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 (#19 of 993)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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1 blog
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19 X users
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16 patents
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1 Wikipedia page

Citations

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242 Dimensions

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964 Mendeley
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Title
Overview of methodologies for T-cell receptor repertoire analysis
Published in
BMC Biotechnology, July 2017
DOI 10.1186/s12896-017-0379-9
Pubmed ID
Authors

Elisa Rosati, C Marie Dowds, Evaggelia Liaskou, Eva Kristine Klemsdal Henriksen, Tom H Karlsen, Andre Franke

Abstract

The T-cell receptor (TCR), located on the surface of T cells, is responsible for the recognition of the antigen-major histocompatibility complex, leading to the initiation of an inflammatory response. Analysing the TCR repertoire may help to gain a better understanding of the immune system features and of the aetiology and progression of diseases, in particular those with unknown antigenic triggers. The extreme diversity of the TCR repertoire represents a major analytical challenge; this has led to the development of specialized methods which aim to characterize the TCR repertoire in-depth. Currently, next generation sequencing based technologies are most widely employed for the high-throughput analysis of the immune cell repertoire. Here, we report on the latest methodological advancements in the field by describing and comparing the available tools; from the choice of the starting material and library preparation method, to the sequencing technologies and data analysis. Finally, we provide a practical example and our own experience by reporting some exemplary results from a small internal benchmark study, where current approaches from the literature and the market are employed and compared. Several valid methods for clonotype identification and TCR repertoire analysis exist, however, a gold standard method for the field has not yet been identified. Depending on the purpose of the scientific study, some approaches may be more suitable than others. Finally, due to possible method specific biases, scientists must be careful when comparing results obtained using different methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 964 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 964 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 200 21%
Student > Ph. D. Student 187 19%
Student > Master 86 9%
Student > Bachelor 76 8%
Other 58 6%
Other 127 13%
Unknown 230 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 215 22%
Agricultural and Biological Sciences 160 17%
Immunology and Microbiology 147 15%
Medicine and Dentistry 88 9%
Engineering 29 3%
Other 71 7%
Unknown 254 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 April 2024.
All research outputs
#1,403,200
of 26,017,215 outputs
Outputs from BMC Biotechnology
#19
of 993 outputs
Outputs of similar age
#27,037
of 329,127 outputs
Outputs of similar age from BMC Biotechnology
#1
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 993 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 98% 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 329,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.