Tracking B cell responses to the SARS-CoV-2 mRNA-1273 vaccine

Assis, Felipe Lopes de; Hoehn, Kenneth B.; Zhang, Xiaozhen; Kardava, Lela; Smith, Connor D.; Merhebi, Omar El; Buckner, Clarisa M.; Trihemasava, Krittin; Wang, Wei; Seamon, Catherine; Chen, Vicky; Schaughency, Paul; Cheung, Foo; Martins, Andrew J.; Chiang, Chi-I; Li, Yuxing; Tsang, John S.; Chun, Tae‐Wook; Kleinstein, Steven H.; Moir, Susan

doi:10.1016/j.celrep.2023.112780

Cited by 9 publications

(3 citation statements)

References 84 publications

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“…This technique allows simultaneous analysis of the multimodal molecular attributes of gene expression, chromatin accessibility, and protein abundance at the global level of individual cells, enabling researchers to clarify cell heterogeneity and understand the fine cellular states, currently a cutting-edge field in genomics research ( Di et al, 2020 ; Zhu et al, 2020 ). With the continuous improvement of multimodal single-cell analysis methods, this technology has been progressively applied in the disciplines of cancer research ( Herrera et al, 2021 ; Koya et al, 2021 ), vaccination ( de Assis et al, 2023 ; Sparks et al, 2023 ), and other related fields ( Jang et al, 2023 ; Mullin et al, 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

Chen,

Wan,

Yang

et al. 2024

Front. Genet.

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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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Section: Discussionmentioning

confidence: 99%

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

Chen,

Wan,

Yang

et al. 2024

Front. Genet.

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“…Compared to TCRs, the clonotype complexity of BCRs includes additional sequence variations by somatic hypermutation for the maturation of antigen recognition, expanding the lineage recording capacity. Single-cell BCR sequencing after vaccination for SARS-CoV-2 infection was performed to examine clonal relationships and phylogenetic analysis to track B-cell clones for the durability of the immune response [ 73 ]. The clonotype similarity showed a close association between resting and activated memory B cells, indicating a differentiation trajectory from activated B cells to resting B cells.…”

Section: Constructed Dna Barcodes For Prospective Lineage Tracingmentioning

confidence: 99%

“… Lineage recording by innate or acquired barcodes. The summary of technologies is categorized through their principles of barcode diversity: CNV, microsatellite, transposition, DNA methylation, somatic mutation, and TCR/BCR sequences [ 61 , 62 , 63 , 64 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 ]. …”

Section: Figurementioning

confidence: 99%

DNA Barcoding Technology for Lineage Recording and Tracing to Resolve Cell Fate Determination

Kim

2023

Cells

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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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Single Cell VDJ Sequencing of Normal and Malignant B and T Cells

Schnormeier,

Budeus

2024

Methods in Molecular Biology

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Tracking B cell responses to the SARS-CoV-2 mRNA-1273 vaccine

Cited by 9 publications

References 84 publications

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022

DNA Barcoding Technology for Lineage Recording and Tracing to Resolve Cell Fate Determination

Single Cell VDJ Sequencing of Normal and Malignant B and T Cells

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