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基于先进基因组学的单细胞分辨率方法定义同种异体移植排斥反应。

Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution.

机构信息

Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.

Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.

出版信息

Front Immunol. 2021 Oct 14;12:750754. doi: 10.3389/fimmu.2021.750754. eCollection 2021.

Abstract

Solid organ transplant recipients require long-term immunosuppression for prevention of rejection. Calcineurin inhibitor (CNI)-based immunosuppressive regimens have remained the primary means for immunosuppression for four decades now, yet little is known about their effects on graft resident and infiltrating immune cell populations. Similarly, the understanding of rejection biology under specific types of immunosuppression remains to be defined. Furthermore, development of innovative, rationally designed targeted therapeutics for mitigating or preventing rejection requires a fundamental understanding of the immunobiology that underlies the rejection process. The established use of microarray technologies in transplantation has provided great insight into gene transcripts associated with allograft rejection but does not characterize rejection on a single cell level. Therefore, the development of novel genomics tools, such as single cell sequencing techniques, combined with powerful bioinformatics approaches, has enabled characterization of immune processes at the single cell level. This can provide profound insights into the rejection process, including identification of resident and infiltrating cell transcriptomes, cell-cell interactions, and T cell receptor α/β repertoires. In this review, we discuss genomic analysis techniques, including microarray, bulk RNAseq (bulkSeq), single-cell RNAseq (scRNAseq), and spatial transcriptomic (ST) techniques, including considerations of their benefits and limitations. Further, other techniques, such as chromatin analysis assay for transposase-accessible chromatin sequencing (ATACseq), bioinformatic regulatory network analyses, and protein-based approaches are also examined. Application of these tools will play a crucial role in redefining transplant rejection with single cell resolution and likely aid in the development of future immunomodulatory therapies in solid organ transplantation.

摘要

实体器官移植受者需要长期免疫抑制以预防排斥反应。钙调神经磷酸酶抑制剂 (CNI) 为基础的免疫抑制方案现已成为免疫抑制的主要手段,已有四十年的历史,但人们对其对移植物驻留和浸润免疫细胞群的影响知之甚少。同样,在特定类型的免疫抑制下,对排斥反应生物学的理解仍有待确定。此外,开发创新的、合理设计的靶向治疗药物以减轻或预防排斥反应,需要对排斥反应过程所基于的免疫生物学有基本的了解。微阵列技术在移植中的广泛应用为同种异体移植排斥相关的基因转录本提供了重要的见解,但不能在单细胞水平上描述排斥反应。因此,开发新的基因组学工具,如单细胞测序技术,结合强大的生物信息学方法,使我们能够在单细胞水平上描述免疫过程。这可以深入了解排斥反应过程,包括鉴定驻留和浸润细胞转录组、细胞-细胞相互作用以及 T 细胞受体 α/β 库。在这篇综述中,我们讨论了基因组分析技术,包括微阵列、批量 RNAseq(bulkSeq)、单细胞 RNAseq(scRNAseq)和空间转录组学(ST)技术,并考虑了它们的优缺点。此外,还研究了其他技术,如染色质分析测定转座酶可及染色质测序 (ATACseq)、生物信息学调控网络分析和基于蛋白质的方法。这些工具的应用将在以单细胞分辨率重新定义移植排斥反应方面发挥关键作用,并可能有助于开发实体器官移植中未来的免疫调节治疗方法。

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