Cargando…

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

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 in...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Tiffany, Roskin, Krishna, Baker, Brian M., Woodle, E. Steve, Hildeman, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551864/
https://www.ncbi.nlm.nih.gov/pubmed/34721421
http://dx.doi.org/10.3389/fimmu.2021.750754
_version_ 1784591257313476608
author Shi, Tiffany
Roskin, Krishna
Baker, Brian M.
Woodle, E. Steve
Hildeman, David
author_facet Shi, Tiffany
Roskin, Krishna
Baker, Brian M.
Woodle, E. Steve
Hildeman, David
author_sort Shi, Tiffany
collection PubMed
description 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 via 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.
format Online
Article
Text
id pubmed-8551864
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-85518642021-10-29 Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution Shi, Tiffany Roskin, Krishna Baker, Brian M. Woodle, E. Steve Hildeman, David Front Immunol Immunology 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 via 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. Frontiers Media S.A. 2021-10-14 /pmc/articles/PMC8551864/ /pubmed/34721421 http://dx.doi.org/10.3389/fimmu.2021.750754 Text en Copyright © 2021 Shi, Roskin, Baker, Woodle and Hildeman https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Shi, Tiffany
Roskin, Krishna
Baker, Brian M.
Woodle, E. Steve
Hildeman, David
Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution
title Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution
title_full Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution
title_fullStr Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution
title_full_unstemmed Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution
title_short Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution
title_sort advanced genomics-based approaches for defining allograft rejection with single cell resolution
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551864/
https://www.ncbi.nlm.nih.gov/pubmed/34721421
http://dx.doi.org/10.3389/fimmu.2021.750754
work_keys_str_mv AT shitiffany advancedgenomicsbasedapproachesfordefiningallograftrejectionwithsinglecellresolution
AT roskinkrishna advancedgenomicsbasedapproachesfordefiningallograftrejectionwithsinglecellresolution
AT bakerbrianm advancedgenomicsbasedapproachesfordefiningallograftrejectionwithsinglecellresolution
AT woodleesteve advancedgenomicsbasedapproachesfordefiningallograftrejectionwithsinglecellresolution
AT hildemandavid advancedgenomicsbasedapproachesfordefiningallograftrejectionwithsinglecellresolution