Selecting the right gate to identify relevant cells for your assay: a study of thioglycollate-elicited peritoneal

Micely D R Hermida1, Rafaela Malta2, Marcos D P C de S Santos2

  • 1Laboratório de Patologia e Biointervenção, Fundação Oswaldo Cruz, FIOCRUZ-BA, Instituto Gonçalo Moniz, Rua Waldemar Falcão, nº 121, Candeal, Salvador, Bahia, CEP 40296-710, Brazil. micelyhermida@gmail.com.

BMC Research Notes
|December 7, 2017
PubMed

Insights

Investigating leukocyte populations during mouse peritonitis revealed distinct cell distributions based on size and granularity. While these parameters offer initial analysis insights, cell activation and developmental stages complicate precise segregation.

Area of Science:

  • Immunology
  • Cell Biology
  • Inflammation Research

Background:

  • Thioglycollate-induced peritonitis is a model for acute inflammation.
  • Leukocyte populations undergo dynamic changes during inflammatory responses.
  • Flow cytometry gating strategies are crucial for analyzing immune cell subsets.

Purpose of the Study:

  • To investigate the diversity and modulation of leukocyte populations in mouse peritonitis.
  • To analyze cell populations based on size and granularity at various time points.
  • To assess the utility of size and granularity for initial leukocyte gating.

Main Methods:

  • Induction of peritonitis in mice using thioglycollate.
  • Collection of peritoneal exudate cells at different time points.
  • Flow cytometric analysis of cells based on size and granularity.

Main Results:

  • Inflammatory cells segregated into four regions (R1-R4) based on size and granularity.
  • T lymphocytes (CD3+) and B lymphocytes (B220+) were found in R1/R2 (small, agranular).
  • Macrophages (F4/80+) predominated in R3, with granulocytes (Gr1+) in R3/R4.
  • Cell distribution suggests recruitment and activation states influence parameters.

Conclusions:

  • Size and granularity provide an initial basis for analyzing and sorting thioglycollate-elicited peritoneal cells.
  • Cell developmental stage and activation status can interfere with segregation using only size and granularity.
  • Further characterization is needed beyond size and granularity for precise leukocyte subset identification.
Abstract

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