Literature DB >> 20705088

Comparative analyses of B cell populations in trout kidney and mouse bone marrow: establishing "B cell signatures".

Patty Zwollo1, Katrina Mott, Maggie Barr.   

Abstract

This study aimed to identify the frequency and distribution of developing B cell populations in the kidney of the rainbow trout, using four molecular B cell markers that are highly conserved between species, including two transcription factors, Pax5 and EBF1, recombination-activating gene RAG1, and the immunoglobulin heavy chain mu. Three distinct B cell stages were defined: early developing B cells (CLP, pro-B, and early pre-B cells), late developing B cell (late pre-B, immature B, and mature B cells), and IgM-secreting cells. Developmental stage-specific, combinatorial expression of Pax5, EBF1, RAG1 and immunoglobulin mu was determined in trout anterior kidney cells by flow cytometry. Trout staining patterns were compared to a well-defined primary immune tissue, mouse bone marrow, and using mouse surface markers B220 and CD43. A remarkable level of similarity was uncovered between the primary immune tissues of both species. Subsequent analysis of the entire trout kidney, divided into five contiguous segments K1-K5, revealed a complex pattern of early developing, late developing, and IgM-secreting B cells. Patterns in anterior kidney segment K1 were most similar to those of mouse bone marrow, while the most posterior part of the kidney, K5, had many IgM-secreting cells, but lacked early developing B cells. A potential second B lymphopoiesis site was uncovered in segment K4 of the kidney. The B cell patterns, or "B cell signatures" described here provide information on the relative abundance of distinct developing B cell populations in the trout kidney, and can be used in future studies on B cell development in other vertebrate species.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20705088      PMCID: PMC2945407          DOI: 10.1016/j.dci.2010.08.003

Source DB:  PubMed          Journal:  Dev Comp Immunol        ISSN: 0145-305X            Impact factor:   3.636


  35 in total

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Authors:  M J Irwin; S L Kaattari
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