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Lam N, Lee Y, Farber DL. A guide to adaptive immune memory. Nat Rev Immunol 2024:10.1038/s41577-024-01040-6. [PMID: 38831162 DOI: 10.1038/s41577-024-01040-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2024] [Indexed: 06/05/2024]
Abstract
Immune memory - comprising T cells, B cells and plasma cells and their secreted antibodies - is crucial for human survival. It enables the rapid and effective clearance of a pathogen after re-exposure, to minimize damage to the host. When antigen-experienced, memory T cells become activated, they proliferate and produce effector molecules at faster rates and in greater magnitudes than antigen-inexperienced, naive cells. Similarly, memory B cells become activated and differentiate into antibody-secreting cells more rapidly than naive B cells, and they undergo processes that increase their affinity for antigen. The ability of T cells and B cells to form memory cells after antigen exposure is the rationale behind vaccination. Understanding immune memory not only is crucial for the design of more-efficacious vaccines but also has important implications for immunotherapies in infectious disease and cancer. This 'guide to' article provides an overview of the current understanding of the phenotype, function, location, and pathways for the generation, maintenance and protective capacity of memory T cells and memory B cells.
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Affiliation(s)
- Nora Lam
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - YoonSeung Lee
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Donna L Farber
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Surgery, Columbia University Irving Medical Center, New York, NY, USA.
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Ahmed N, Athavale A, Tripathi AH, Subramaniam A, Upadhyay SK, Pandey AK, Rai RC, Awasthi A. To be remembered: B cell memory response against SARS-CoV-2 and its variants in vaccinated and unvaccinated individuals. Scand J Immunol 2024; 99:e13345. [PMID: 38441373 DOI: 10.1111/sji.13345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/20/2023] [Accepted: 11/13/2023] [Indexed: 03/07/2024]
Abstract
COVID-19 disease has plagued the world economy and affected the overall well-being and life of most of the people. Natural infection as well as vaccination leads to the development of an immune response against the pathogen. This involves the production of antibodies, which can neutralize the virus during future challenges. In addition, the development of cellular immune memory with memory B and T cells provides long-lasting protection. The longevity of the immune response has been a subject of intensive research in this field. The extent of immunity conferred by different forms of vaccination or natural infections remained debatable for long. Hence, understanding the effectiveness of these responses among different groups of people can assist government organizations in making informed policy decisions. In this article, based on the publicly available data, we have reviewed the memory response generated by some of the vaccines against SARS-CoV-2 and its variants, particularly B cell memory in different groups of individuals.
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Affiliation(s)
- Nafees Ahmed
- Translational Health Science and Technology Institute, Faridabad, Haryana, India
| | - Atharv Athavale
- Translational Health Science and Technology Institute, Faridabad, Haryana, India
| | - Ankita H Tripathi
- Department of Biotechnology, Kumaun University, Nainital, Uttarakhand, India
| | - Adarsh Subramaniam
- Translational Health Science and Technology Institute, Faridabad, Haryana, India
| | - Santosh K Upadhyay
- Department of Biotechnology, Kumaun University, Nainital, Uttarakhand, India
| | | | - Ramesh Chandra Rai
- Translational Health Science and Technology Institute, Faridabad, Haryana, India
| | - Amit Awasthi
- Translational Health Science and Technology Institute, Faridabad, Haryana, India
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Chen L, Wan Y, Yang T, Zhang Q, Zeng Y, Zheng S, Ling Z, Xiao Y, Wan Q, Liu R, Yang C, Huang G, Zeng Q. Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022. Front Genet 2024; 14:1285599. [PMID: 38274109 PMCID: PMC10808606 DOI: 10.3389/fgene.2023.1285599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/31/2023] [Indexed: 01/27/2024] Open
Abstract
Background: Single-cell sequencing (SCS) is a technique used to analyze the genome, transcriptome, epigenome, and other genetic data at the level of a single cell. The procedure is commonly utilized in multiple fields, including neurobiology, immunology, and microbiology, and has emerged as a key focus of life science research. However, a thorough and impartial analysis of the existing state and trends of SCS-related research is lacking. The current study aimed to map the development trends of studies on SCS during the years 2010-2022 through bibliometric software. Methods: Pertinent papers on SCS from 2010 to 2022 were obtained using the Web of Science Core Collection. Research categories, nations/institutions, authors/co-cited authors, journals/co-cited journals, co-cited references, and keywords were analyzed using VOSviewer, the R package "bibliometric", and CiteSpace. Results: The bibliometric analysis included 9,929 papers published between 2010 and 2022, and showed a consistent increase in the quantity of papers each year. The United States was the source of the highest quantity of articles and citations in this field. The majority of articles were published in the periodical Nature Communications. Butler A was the most frequently quoted author on this topic, and his article "Integrating single-cell transcriptome data across diverse conditions, technologies, and species" has received numerous citations to date. The literature and keyword analysis showed that studies involving single-cell RNA sequencing (scRNA-seq) were prominent in this discipline during the study period. Conclusion: This study utilized bibliometric techniques to visualize research in SCS-related domains, which facilitated the identification of emerging patterns and future directions in the field. Current hot topics in SCS research include COVID-19, tumor microenvironment, scRNA-seq, and neuroscience. Our results are significant for scholars seeking to identify key issues and generate new research ideas.
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Affiliation(s)
- Ling Chen
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yantong Wan
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of BasicMedical Sciences, Southern Medical University, Guangzhou, China
| | - Tingting Yang
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Qi Zhang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Yuting Zeng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shuqi Zheng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Zhishan Ling
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Yupeng Xiao
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Qingyi Wan
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Ruili Liu
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Chun Yang
- Dongguan Key Laboratory of Stem Cell and Regenerative Tissue Engineering, Guangdong Medical University, Dongguan, China
| | - Guozhi Huang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
| | - Qing Zeng
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- School of Rehabilitation Medicine, Southern Medical University, Guangzhou, China
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Hoehn KB, Kleinstein SH. B cell phylogenetics in the single cell era. Trends Immunol 2024; 45:62-74. [PMID: 38151443 PMCID: PMC10872299 DOI: 10.1016/j.it.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 12/29/2023]
Abstract
The widespread availability of single-cell RNA sequencing (scRNA-seq) has led to the development of new methods for understanding immune responses. Single-cell transcriptome data can now be paired with B cell receptor (BCR) sequences. However, RNA from BCRs cannot be analyzed like most other genes because BCRs are genetically diverse within individuals. In humans, BCRs are shaped through recombination followed by mutation and selection for antigen binding. As these processes co-occur with cell division, B cells can be studied using phylogenetic trees representing the mutations within a clone. B cell trees can link experimental timepoints, tissues, or cellular subtypes. Here, we review the current state and potential of how B cell phylogenetics can be combined with single-cell data to understand immune responses.
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Affiliation(s)
- Kenneth B Hoehn
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
| | - Steven H Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
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Kim IS. DNA Barcoding Technology for Lineage Recording and Tracing to Resolve Cell Fate Determination. Cells 2023; 13:27. [PMID: 38201231 PMCID: PMC10778210 DOI: 10.3390/cells13010027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024] Open
Abstract
In various biological contexts, cells receive signals and stimuli that prompt them to change their current state, leading to transitions into a future state. This change underlies the processes of development, tissue maintenance, immune response, and the pathogenesis of various diseases. Following the path of cells from their initial identity to their current state reveals how cells adapt to their surroundings and undergo transformations to attain adjusted cellular states. DNA-based molecular barcoding technology enables the documentation of a phylogenetic tree and the deterministic events of cell lineages, providing the mechanisms and timing of cell lineage commitment that can either promote homeostasis or lead to cellular dysregulation. This review comprehensively presents recently emerging molecular recording technologies that utilize CRISPR/Cas systems, base editing, recombination, and innate variable sequences in the genome. Detailing their underlying principles, applications, and constraints paves the way for the lineage tracing of every cell within complex biological systems, encompassing the hidden steps and intermediate states of organism development and disease progression.
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Affiliation(s)
- Ik Soo Kim
- Department of Microbiology, Gachon University College of Medicine, Incheon 21999, Republic of Korea
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