Single-Cell Transcriptomics of Eosinophil in Allergic Asthma

<bold>Introduction</bold>. Eosinophils distinguish phenotypic plasticity related to the tissue environment. Single-cell transcriptomics of eosinophils in asthma could reveal the eosinophils heterogeneity, identify new cell-surface markers, and disclose acute allergic asthma episode-related differences of gene expression profiles of eosinophils subtypes leading to the possibility of identifying eosinophil subtype-orientated therapeutic targets. <bold>Aim</bold>. To characterize gene expression profiles of the blood eosinophil in allergic asthma at single-cell level. <bold>Methods</bold>. We included 4 steroid-naive allergic asthma (AA) and 4 healthy control subjects (HS). AA patients underwent bronchial provocation with D. Pteronyssinus allergen. Blood eosinophils were isolated using high-density Ficoll centrifugation and magnetic separation. Single-cell transcriptomic libraries preparation was completed by using the HIVE scRNAseq Solution kit. Sequencing performed by Illumina NovaSeq™ X Series (400M reads, 100 cycles)—analysis performed by BeeNetPlus on Terra automated analysis. <bold>Results</bold>. Analysis revealed a total of 16 distinct blood eosinophil subpopulations among AA patients with 12 of them with clear gene markers. A total of 223 genes were classified as potential markers for blood eosinophil subpopulation identification. 1 cluster was identified as unique for AA patients before and 8 clusters after bronchial provocation imitating acute episodes. 3 clusters were identified as unique for the AA group compared to HS. <bold>Conclusions</bold>. With eosinophil plasticity-related distinct eosinophil subpopulations with unique gene expression profiles might be a target for eosinophil subtype-orientated therapeutic strategies.

Authors

Institutions

Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1183/13993003.congress-2025.pa6343
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-Cell Transcriptomics of Eosinophil in Allergic Asthma

Kęstutis Malakauskas, Egle Vasyle, Andrius Januškevičius, Airidas Rimkūnas et al.
Asthma and respiratory diseases
article

Single-Cell Transcriptomics of Eosinophil in Allergic Asthma

Kęstutis Malakauskas, Egle Vasyle, Andrius Januškevičius, Airidas Rimkūnas, Jolita Palačionytė, Inesa Jermalaviciene
article en

Abstract

<bold>Introduction</bold>. Eosinophils distinguish phenotypic plasticity related to the tissue environment. Single-cell transcriptomics of eosinophils in asthma could reveal the eosinophils heterogeneity, identify new cell-surface markers, and disclose acute allergic asthma episode-related differences of gene expression profiles of eosinophils subtypes leading to the possibility of identifying eosinophil subtype-orientated therapeutic targets. <bold>Aim</bold>. To characterize gene expression profiles of the blood eosinophil in allergic asthma at single-cell level. <bold>Methods</bold>. We included 4 steroid-naive allergic asthma (AA) and 4 healthy control subjects (HS). AA patients underwent bronchial provocation with D. Pteronyssinus allergen. Blood eosinophils were isolated using high-density Ficoll centrifugation and magnetic separation. Single-cell transcriptomic libraries preparation was completed by using the HIVE scRNAseq Solution kit. Sequencing performed by Illumina NovaSeq™ X Series (400M reads, 100 cycles)—analysis performed by BeeNetPlus on Terra automated analysis. <bold>Results</bold>. Analysis revealed a total of 16 distinct blood eosinophil subpopulations among AA patients with 12 of them with clear gene markers. A total of 223 genes were classified as potential markers for blood eosinophil subpopulation identification. 1 cluster was identified as unique for AA patients before and 8 clusters after bronchial provocation imitating acute episodes. 3 clusters were identified as unique for the AA group compared to HS. <bold>Conclusions</bold>. With eosinophil plasticity-related distinct eosinophil subpopulations with unique gene expression profiles might be a target for eosinophil subtype-orientated therapeutic strategies.

Lithuanian University of Health Sciences (LT)
Openalex Percentile: Top 55%
Asthma and respiratory diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.