The diversity of the plasmablast signature across species and experimental conditions: A meta-analysis.
Alexis GrasseauMarina BoudigouMagalie Michée-CospoliteCéline DelaloyOlivier MignenChristophe JaminDivi CornecJacques-Olivier PersLaëtitia Le PottierSophie HillionPublished in: Immunology (2021)
Antibody-secreting cells (ASC) are divided into two principal subsets, including the long-lived plasma cell (PC) subset residing in the bone marrow and the short-lived subset, also called plasmablast (PB). PB are described as a proliferating subset circulating through the blood and ending its differentiation in tissues. Due to their inherent heterogeneity, the molecular signature of PB is not fully established. The purpose of this study was to decipher a specific PB signature in humans and mice through a comprehensive meta-analysis of different data sets exploring the PB differentiation in both species and across different experimental conditions. The present study used recent analyses using whole RNA sequencing in prdm1-GFP transgenic mice to define a reliable and accurate PB signature. Next, we performed similar analysis using current data sets obtained from human PB and PC. The PB-specific signature is composed of 155 and 113 genes in mouse and human being, respectively. Although only nine genes are shared between the human and mice PB signature, the loss of B-cell identity such as the down-regulation of PAX5, MS4A1, (CD20) CD22 and IL-4R is a conserved feature across species and across the different experimental conditions. Additionally, we observed that the IRF8 and IRF4 transcription factors have a specific dynamic range of expression in human PB. We thus demonstrated that IRF4/IRF8 intranuclear staining was useful to define PB in vivo and in vitro and able to discriminate between atypical PB populations and transient states.
Keyphrases
- heavy metals
- aqueous solution
- endothelial cells
- bone marrow
- single cell
- risk assessment
- dendritic cells
- induced pluripotent stem cells
- transcription factor
- genome wide
- mesenchymal stem cells
- stem cells
- adipose tissue
- multiple sclerosis
- poor prognosis
- gene expression
- electronic health record
- pluripotent stem cells
- dna methylation
- high resolution
- cell proliferation
- brain injury
- signaling pathway
- long non coding rna
- big data
- cell cycle arrest
- genetic diversity
- cerebral ischemia