Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics.
Measuring changes of the T cell receptor (TCR) repertoire is important to many fields of medicine. Flow cytometry is a popular technique to study the TCR repertoire, as it quickly provides insight into the TCR-Vβ usage among well-defined populations of T cells. However, the interpretation of the flo...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4414620?pdf=render |
| _version_ | 1828544583695335424 |
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| author | Kornelis S M van der Geest Wayel H Abdulahad Gerda Horst Pedro G Lorencetti Johan Bijzet Suzanne Arends Marieke van der Heiden Anne-Marie Buisman Bart-Jan Kroesen Elisabeth Brouwer Annemieke M H Boots |
| author_facet | Kornelis S M van der Geest Wayel H Abdulahad Gerda Horst Pedro G Lorencetti Johan Bijzet Suzanne Arends Marieke van der Heiden Anne-Marie Buisman Bart-Jan Kroesen Elisabeth Brouwer Annemieke M H Boots |
| author_sort | Kornelis S M van der Geest |
| collection | DOAJ |
| description | Measuring changes of the T cell receptor (TCR) repertoire is important to many fields of medicine. Flow cytometry is a popular technique to study the TCR repertoire, as it quickly provides insight into the TCR-Vβ usage among well-defined populations of T cells. However, the interpretation of the flow cytometric data remains difficult, and subtle TCR repertoire changes may go undetected. Here, we introduce a novel means for analyzing the flow cytometric data on TCR-Vβ usage. By applying economic statistics, we calculated the Gini-TCR skewing index from the flow cytometric TCR-Vβ analysis. The Gini-TCR skewing index, which is a direct measure of TCR-Vβ distribution among T cells, allowed us to track subtle changes of the TCR repertoire among distinct populations of T cells. Application of the Gini-TCR skewing index to the flow cytometric TCR-Vβ analysis will greatly help to gain better understanding of the TCR repertoire in health and disease. |
| first_indexed | 2024-12-12T02:32:55Z |
| format | Article |
| id | doaj.art-646b9ff1a2564b65871e06e6686c1bc4 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T02:32:55Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-646b9ff1a2564b65871e06e6686c1bc42022-12-22T00:41:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01104e012537310.1371/journal.pone.0125373Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics.Kornelis S M van der GeestWayel H AbdulahadGerda HorstPedro G LorencettiJohan BijzetSuzanne ArendsMarieke van der HeidenAnne-Marie BuismanBart-Jan KroesenElisabeth BrouwerAnnemieke M H BootsMeasuring changes of the T cell receptor (TCR) repertoire is important to many fields of medicine. Flow cytometry is a popular technique to study the TCR repertoire, as it quickly provides insight into the TCR-Vβ usage among well-defined populations of T cells. However, the interpretation of the flow cytometric data remains difficult, and subtle TCR repertoire changes may go undetected. Here, we introduce a novel means for analyzing the flow cytometric data on TCR-Vβ usage. By applying economic statistics, we calculated the Gini-TCR skewing index from the flow cytometric TCR-Vβ analysis. The Gini-TCR skewing index, which is a direct measure of TCR-Vβ distribution among T cells, allowed us to track subtle changes of the TCR repertoire among distinct populations of T cells. Application of the Gini-TCR skewing index to the flow cytometric TCR-Vβ analysis will greatly help to gain better understanding of the TCR repertoire in health and disease.http://europepmc.org/articles/PMC4414620?pdf=render |
| spellingShingle | Kornelis S M van der Geest Wayel H Abdulahad Gerda Horst Pedro G Lorencetti Johan Bijzet Suzanne Arends Marieke van der Heiden Anne-Marie Buisman Bart-Jan Kroesen Elisabeth Brouwer Annemieke M H Boots Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics. PLoS ONE |
| title | Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics. |
| title_full | Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics. |
| title_fullStr | Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics. |
| title_full_unstemmed | Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics. |
| title_short | Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics. |
| title_sort | quantifying distribution of flow cytometric tcr vβ usage with economic statistics |
| url | http://europepmc.org/articles/PMC4414620?pdf=render |
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