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Analysis of Single-cell Gene Transcription by RNA Fluorescent In Situ Hybridization FISH
Published on: October 7, 2012
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Single-cell transcriptomics reveals inter-ethnic variation in immune response to Falciparum malaria
Tala Shahin1, Jakub Jurkovic1, Mame Massar Dieng1
1Program in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
American Journal of Human Genetics
|February 19, 2025
Summary
Fulani children in Africa show reduced malaria susceptibility due to ethnic-specific immune responses. Single-cell analysis revealed distinct monocyte and B cell profiles, highlighting genetic influences on Plasmodium falciparum infection.
Area of Science:
- Immunology
- Genetics
- Infectious Diseases
Background:
- African populations exhibit diverse responses to malaria (Plasmodium falciparum).
- The Fulani ethnic group shows lower malaria susceptibility compared to other groups like the Mossi.
- Mechanisms underlying Fulani malaria resistance are not fully understood at the cellular level.
Purpose of the Study:
- To investigate the molecular and cellular basis of malaria resistance in Fulani children.
- To compare immune responses between Fulani and Mossi children using single-cell transcriptomics.
- To identify ethnic-specific immune signatures and genetic regulatory effects.
Main Methods:
- Single-cell RNA sequencing of peripheral blood mononuclear cells from 126 Fulani and Mossi children.
- Analysis of over 70,000 single-cell transcriptomes to identify cell subtypes.
- Differential gene expression and single-cell expression quantitative trait locus (eQTL) analysis.
Main Results:
- Ethnicity significantly impacts the transcriptional landscape, especially in monocytes.
- Fulani monocytes and T cells show reduced pro-inflammatory responses.
- Fulani B cells exhibit stronger activation and inflammatory profiles.
- Identified ethnicity-specific regulatory variants affecting immune genes (e.g., CD36, MT2A) in monocytes.
Conclusions:
- Host immune responses to malaria are shaped by ethnicity, cell type, and genetic regulation.
- Single-cell transcriptomics and eQTL analysis reveal key differences in malaria-resistant populations.
- Provides valuable datasets for understanding malaria and host-pathogen interactions in under-represented groups.

