Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research

Analysis of the T-cell receptor (TCR) repertoire is essential to characterize the extensive collections of T-cell populations with recognizing antigens in cancer research, and whole transcriptome sequencing (WTS) and immune repertoire sequencing (IR-seq) are commonly used for this measure. To date,...

Full description

Bibliographic Details
Main Authors: Sungyoung Lee, Seulki Song, Sung-Soo Yoon, Youngil Koh, Hongseok Yun
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/12/3693
_version_ 1797545270332882944
author Sungyoung Lee
Seulki Song
Sung-Soo Yoon
Youngil Koh
Hongseok Yun
author_facet Sungyoung Lee
Seulki Song
Sung-Soo Yoon
Youngil Koh
Hongseok Yun
author_sort Sungyoung Lee
collection DOAJ
description Analysis of the T-cell receptor (TCR) repertoire is essential to characterize the extensive collections of T-cell populations with recognizing antigens in cancer research, and whole transcriptome sequencing (WTS) and immune repertoire sequencing (IR-seq) are commonly used for this measure. To date, no standard read filtering method for IR measurement has been presented. We assessed the diversity of the TCR repertoire results from the paired WTS and IR-seq data of 31 multiple myeloma (MM) patients. To invent an adequate read filtering strategy for IR analysis, we conducted comparisons with WTS results. First, our analyses for determining an optimal threshold for selecting clonotypes showed that the clonotypes supported by a single read largely affected the shared clonotypes and manifested distinct patterns of mapping qualities, unlike clonotypes with multiple reads. Second, although IR-seq could reflect a wider TCR region with a higher capture rate than WTS, an adequate comparison with the removal of unwanted bias from potential sequencing errors was possible only after applying our read filtering strategy. As a result, we suggest that TCR repertoire analysis be carried out through IR-seq to produce reliable and accurate results, along with the removal of single-read clonotypes, to conduct immune research in cancer using high-throughput sequencing.
first_indexed 2024-03-10T14:13:03Z
format Article
id doaj.art-c3d0509b76b54fc188883b3c37e96b8b
institution Directory Open Access Journal
issn 2072-6694
language English
last_indexed 2024-03-10T14:13:03Z
publishDate 2020-12-01
publisher MDPI AG
record_format Article
series Cancers
spelling doaj.art-c3d0509b76b54fc188883b3c37e96b8b2023-11-21T00:01:50ZengMDPI AGCancers2072-66942020-12-011212369310.3390/cancers12123693Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu ResearchSungyoung Lee0Seulki Song1Sung-Soo Yoon2Youngil Koh3Hongseok Yun4Center for Precision Medicine, Seoul National University Hospital, Seoul 03082, KoreaCancer Research Institute, Seoul National University College of Medicine, Seoul 03080, KoreaCancer Research Institute, Seoul National University College of Medicine, Seoul 03080, KoreaCancer Research Institute, Seoul National University College of Medicine, Seoul 03080, KoreaCenter for Precision Medicine, Seoul National University Hospital, Seoul 03082, KoreaAnalysis of the T-cell receptor (TCR) repertoire is essential to characterize the extensive collections of T-cell populations with recognizing antigens in cancer research, and whole transcriptome sequencing (WTS) and immune repertoire sequencing (IR-seq) are commonly used for this measure. To date, no standard read filtering method for IR measurement has been presented. We assessed the diversity of the TCR repertoire results from the paired WTS and IR-seq data of 31 multiple myeloma (MM) patients. To invent an adequate read filtering strategy for IR analysis, we conducted comparisons with WTS results. First, our analyses for determining an optimal threshold for selecting clonotypes showed that the clonotypes supported by a single read largely affected the shared clonotypes and manifested distinct patterns of mapping qualities, unlike clonotypes with multiple reads. Second, although IR-seq could reflect a wider TCR region with a higher capture rate than WTS, an adequate comparison with the removal of unwanted bias from potential sequencing errors was possible only after applying our read filtering strategy. As a result, we suggest that TCR repertoire analysis be carried out through IR-seq to produce reliable and accurate results, along with the removal of single-read clonotypes, to conduct immune research in cancer using high-throughput sequencing.https://www.mdpi.com/2072-6694/12/12/3693T-cell receptorimmune repertoireimmune repertoire sequencingwhole transcriptome sequencingclonotype
spellingShingle Sungyoung Lee
Seulki Song
Sung-Soo Yoon
Youngil Koh
Hongseok Yun
Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research
Cancers
T-cell receptor
immune repertoire
immune repertoire sequencing
whole transcriptome sequencing
clonotype
title Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research
title_full Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research
title_fullStr Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research
title_full_unstemmed Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research
title_short Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research
title_sort proper read filtering method to adequately analyze whole transcriptome sequencing and rna based immune repertoire sequencing data for tumor milieu research
topic T-cell receptor
immune repertoire
immune repertoire sequencing
whole transcriptome sequencing
clonotype
url https://www.mdpi.com/2072-6694/12/12/3693
work_keys_str_mv AT sungyounglee properreadfilteringmethodtoadequatelyanalyzewholetranscriptomesequencingandrnabasedimmunerepertoiresequencingdatafortumormilieuresearch
AT seulkisong properreadfilteringmethodtoadequatelyanalyzewholetranscriptomesequencingandrnabasedimmunerepertoiresequencingdatafortumormilieuresearch
AT sungsooyoon properreadfilteringmethodtoadequatelyanalyzewholetranscriptomesequencingandrnabasedimmunerepertoiresequencingdatafortumormilieuresearch
AT youngilkoh properreadfilteringmethodtoadequatelyanalyzewholetranscriptomesequencingandrnabasedimmunerepertoiresequencingdatafortumormilieuresearch
AT hongseokyun properreadfilteringmethodtoadequatelyanalyzewholetranscriptomesequencingandrnabasedimmunerepertoiresequencingdatafortumormilieuresearch