A new high-throughput sequencing method for determining diversity and similarity of T cell receptor (TCR) α and β repertoires and identifying potential new invariant TCR α chains Article Swipe
Kazutaka Kitaura
,
Tadasu Shin‐I
,
Takaji Matsutani
,
Ryuji Suzuki
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1186/s12865-016-0177-5
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1186/s12865-016-0177-5
These results suggest that retrieval of shared TCRs by NGS would be useful for the identification of potential new invariant TCRα chains. This NGS method will enable the comprehensive quantitative analysis of TCR repertoires at a clonal level.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12865-016-0177-5
- OA Status
- gold
- Cited By
- 87
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2530556528
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2530556528Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s12865-016-0177-5Digital Object Identifier
- Title
-
A new high-throughput sequencing method for determining diversity and similarity of T cell receptor (TCR) α and β repertoires and identifying potential new invariant TCR α chainsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-10-11Full publication date if available
- Authors
-
Kazutaka Kitaura, Tadasu Shin‐I, Takaji Matsutani, Ryuji SuzukiList of authors in order
- Landing page
-
https://doi.org/10.1186/s12865-016-0177-5Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1186/s12865-016-0177-5Direct OA link when available
- Concepts
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T-cell receptor, Biology, Gene, Genetics, DNA sequencing, Polymerase chain reaction, Computational biology, Repertoire, Antigen, T cell, Immune system, Physics, AcousticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
87Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 12, 2024: 9, 2023: 13, 2022: 5, 2021: 18Per-year citation counts (last 5 years)
- References (count)
-
66Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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