2020
DOI: 10.1182/blood.2019002782
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Comprehensive analyses of B-cell compartments across the human body reveal novel subsets and a gut-resident memory phenotype

Abstract: While human B cells have been extensively studied, most reports have used peripheral blood as a source. Here we have used a unique tissue resource derived from healthy organ donors to deeply characterize human B cell compartments across multiple tissues and donors. These data sets revealed that B cells in the blood are not in homeostasis with compartments in other tissues. We found striking donor-to-donor variability in the frequencies and isotype of CD27+ memory B cells (MBC). A comprehensive Ab-based screen … Show more

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Cited by 88 publications
(77 citation statements)
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“…Whole transcriptome profiling by RNA sequencing (RNA-seq) generates read counts of all the transcripts within a population and differential gene expression analysis can reveal signatures that define specific subsets (Stark et al, 2019). RNA-seq has been used to define T RM as a distinct subset in mice and humans (Kumar et al, 2017;Mackay and Kallies, 2017;Mackay et al, 2016) and distinct features of human B cell subsets in blood and tissues (Weisel et al, 2020). Applying whole transcriptome profiling to single cells (scRNA-seq) enables identification and stratification of cell subsets based on differential gene expression and can lead to de novo discovery of new cell types and cell states, as well as tissue-specific adaptations of cell types within and across tissues (Figure 2).…”
Section: Methods and Computational Approaches In Systems Immunologymentioning
confidence: 99%
“…Whole transcriptome profiling by RNA sequencing (RNA-seq) generates read counts of all the transcripts within a population and differential gene expression analysis can reveal signatures that define specific subsets (Stark et al, 2019). RNA-seq has been used to define T RM as a distinct subset in mice and humans (Kumar et al, 2017;Mackay and Kallies, 2017;Mackay et al, 2016) and distinct features of human B cell subsets in blood and tissues (Weisel et al, 2020). Applying whole transcriptome profiling to single cells (scRNA-seq) enables identification and stratification of cell subsets based on differential gene expression and can lead to de novo discovery of new cell types and cell states, as well as tissue-specific adaptations of cell types within and across tissues (Figure 2).…”
Section: Methods and Computational Approaches In Systems Immunologymentioning
confidence: 99%
“…Comparing B cell profiles by flow cytometry analysis revealed differential expression of key B cell markers delineating specific B cells subsets in the airways and blood ( Figure S5A, S5B). In particular, airway B cells exhibited increased expression of CD69, a marker expressed by human tissue resident B cells (Weisel et al, 2020), and activation markers CD86 and CD95 ( Figure S5A, S5B). Phenograph clustering further delineated subsets of activated and tissue-resident B cells present in airways, while blood contained higher frequencies of CXCR5 + and naïve B cells ( Figure S5C-E).…”
mentioning
confidence: 99%
“…To explore this idea, we conducted an extensive phenotypic analysis using mass cytometry on circulating peripheral blood (Figure 4). The CD45RB isoform detected by the Ab clone MEM-55 was reported as an accurate marker to identify not only CD27and CD27 + MBCs (43,44) but also MZB cell lineage subsets (45,46). We thus used a routine panel of 35 markers including anti-CD45RB (MEM-55) Ab and the intracellular detection of T-BET on whole blood from seven different donors (Figure 4A).…”
Section: Cd45rb Cd1c and Unique Homing Receptor Profile Identify A Circulating Cd27marginal Zone B-cell-related Progenitor Populationmentioning
confidence: 99%