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Separation of Immune Cell Subpopulations in Peripheral Blood Samples from Children with Infectious Mononucleosis
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Flow-based sorting of neonatal lymphocyte populations for transcriptomics analysis.

Ravi S Misra1, Soumyaroop Bhattacharya2, Heidie L Huyck1

  • 1Department of Pediatrics, Division of Neonatology, University of Rochester Medical Center, Rochester, NY 14642, United States.

Journal of Immunological Methods
|July 21, 2016
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Summary

This study developed a method to analyze T lymphocyte gene expression in preterm infants, identifying potential biomarkers for chronic lung disease. The validated procedure enables genome-wide expression data generation from newborn blood lymphocyte subsets.

Keywords:
BPDFlow sortingLymphocytesPBMCPrematurityRNASeqT-Cell

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Area of Science:

  • Neonatal immunology
  • Respiratory medicine
  • Genomics

Background:

  • T lymphocytes play a role in chronic lung disease pathogenesis in preterm infants.
  • Assessing the lymphocyte transcriptome may reveal disease biomarkers and mechanisms.

Purpose of the Study:

  • To establish a validated procedure for generating genome-wide expression data from isolated lymphocyte subpopulations in newborn blood.
  • To identify potential biomarkers and understand mechanisms of chronic lung disease in preterm infants.

Main Methods:

  • Collected small peripheral blood volumes from preterm infants.
  • Isolated peripheral blood mononuclear cells (PBMCs) and sorted specific lymphocyte subsets using fluorescence-activated cell sorting.
  • Performed high-throughput sequencing (RNASeq) on isolated lymphocyte RNA.

Main Results:

  • Successfully obtained sufficient PBMCs for sorting and RNASeq from 67% of samples.
  • RNA of adequate quantity and quality was recovered from sorted cells for RNASeq analysis.
  • Demonstrated reproducible recovery of purified lymphocyte populations over time.

Conclusions:

  • A validated procedure exists for generating genome-wide expression data from isolated lymphocyte subpopulations from neonatal blood.
  • This method supports the identification of biomarkers and mechanisms in neonatal chronic lung disease.