FB5P-seq: FACS-Based 5-Prime End Single-Cell RNA-seq for Integrative Analysis of Transcriptome and Antigen Receptor Repertoire in B and T Cells

被引:25
|
作者
Attaf, Noudjoud [1 ]
Cervera-Marzal, Inaki [1 ,3 ]
Dong, Chuang [1 ]
Gil, Laurine [1 ]
Renand, Amedee [2 ]
Spinelli, Lionel [1 ]
Milpied, Pierre [1 ]
机构
[1] Aix Marseille Univ, Ctr Immunol Marseille Luminy, INSERM, CNRS, Marseille, France
[2] Univ Nantes, Ctr Rech Transplantat & Immunol, UMR1064, INSERM, Nantes, France
[3] Eura Nova, Marseille, France
来源
FRONTIERS IN IMMUNOLOGY | 2020年 / 11卷
关键词
single-cell RNA sequencing; transcriptome; antigen receptor; B cells; T cells; CLONALITY INFERENCE; NAIVE; DIFFERENTIATION; RECONSTRUCTION; FATE;
D O I
10.3389/fimmu.2020.00216
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Single-cell RNA sequencing (scRNA-seq) allows the identification, characterization, and quantification of cell types in a tissue. When focused on B and T cells of the adaptive immune system, scRNA-seq carries the potential to track the clonal lineage of each analyzed cell through the unique rearranged sequence of its antigen receptor (BCR or TCR, respectively) and link it to the functional state inferred from transcriptome analysis. Here we introduce FB5P-seq, a FACS-based 5 '-end scRNA-seq method for cost-effective, integrative analysis of transcriptome and paired BCR or TCR repertoire in phenotypically defined B and T cell subsets. We describe in detail the experimental workflow and provide a robust bioinformatics pipeline for computing gene count matrices and reconstructing repertoire sequences from FB5P-seq data. We further present two applications of FB5P-seq for the analysis of human tonsil B cell subsets and peripheral blood antigen-specific CD4 T cells. We believe that our novel integrative scRNA-seq method will be a valuable option to study rare adaptive immune cell subsets in immunology research.
引用
收藏
页数:13
相关论文
共 31 条
  • [1] FB5P-seq: FACS-Based 5-Prime End Single-Cell RNA-seq for Integrative Analysis of Transcriptome and Antigen Receptor Repertoire in B and T Cells (vol 11, 216, 2020)
    Attaf, Noudjoud
    Cervera-Marzal, Inaki
    Dong, Chuang
    Gil, Laurine
    Renand, Amedee
    Spinelli, Lionel
    Milpied, Pierre
    FRONTIERS IN IMMUNOLOGY, 2020, 11
  • [2] FB5P-seq: FACS-Based 5-Prime End Single-Cell RNA-seq for Integrative Analysis of Transcriptome and Antigen Receptor Repertoire in B and T Cells (vol 11, 216, 2020)
    Attaf, Noudjoud
    Cervera-Marzal, Inaki
    Dong, Chuang
    Gil, Laurine
    Renand, Amedee
    Spinelli, Lionel
    Milpied, Pierre
    FRONTIERS IN IMMUNOLOGY, 2020, 11
  • [3] FB5P-seq-mAbs: monoclonal antibody production from FB5P-seq libraries for integrative single-cell analysis of B cells
    Ado, Sakina
    Dong, Chuang
    Attaf, Noudjoud
    Moussa, Myriam
    Carrier, Agathe
    Milpied, Pierre
    Navarro, Jean-Marc
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [4] Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mouse Corneal Epithelial Cells
    Lu, Zhao-Jing
    Ye, Jin-Guo
    Wang, Dong-Liang
    Li, Meng-Ke
    Zhang, Qi-Kai
    Liu, Zhong
    Huang, Yan-Jing
    Pan, Cai-Neng
    Lin, Yu-Heng
    Shi, Zhuo-Xing
    Zheng, Ying-Feng
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (03)
  • [5] Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Peripheral Mononuclear Cells in Patients With Ankylosing Spondylitis
    Xu, Huixuan
    Yu, Haiyan
    Liu, Lixiong
    Wu, Hongwei
    Zhang, Cantong
    Cai, Wanxia
    Hong, Xiaoping
    Liu, Dongzhou
    Tang, Donge
    Dai, Yong
    FRONTIERS IN IMMUNOLOGY, 2021, 12
  • [6] Tn5Prime, a Tn5 based 5′ capture method for single cell RNA-seq
    Cole, Charles
    Byrne, Ashley
    Beaudin, Anna E.
    Forsberg, E. Camilla
    Vollmers, Christopher
    NUCLEIC ACIDS RESEARCH, 2018, 46 (10)
  • [7] Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mesenchymal Stem/Stromal Cells Derived from Human Placenta
    Li, Jinlu
    Wang, Quanlei
    An, Yanru
    Chen, Xiaoyan
    Xing, Yanan
    Deng, Qiuting
    Li, Zelong
    Wang, Shengpeng
    Dai, Xi
    Liang, Ning
    Hou, Yong
    Yang, Huanming
    Shang, Zhouchun
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [8] An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis
    Ji, Cunmei
    Yu, Ning
    Wang, Yutian
    Qi, Rong
    Zheng, Chunhou
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 20 (06) : 3889 - 3900
  • [9] Integrative single-cell RNA-seq and ATAC-seq analysis of the evolutionary trajectory features of adipose-derived stem cells induced into astrocytes
    Long, Qingxi
    Yuan, Yi
    Ou, Ya
    Li, Wen
    Yan, Qi
    Zhang, Pingshu
    Yuan, Xiaodong
    JOURNAL OF NEUROCHEMISTRY, 2025, 169 (01)
  • [10] Development of a RACE-based RNA-Seq approach to characterize the T-cell receptor repertoire of porcine γδ T cells
    Hammer, Sabine E.
    Leopold, Melanie
    Prawits, Lisa-Maria
    Mair, Kerstin H.
    Schwartz, John C.
    Hammond, John A.
    Ravens, Sarina
    Gerner, Wilhelm
    Saalmueller, Armin
    DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY, 2020, 105