Transcriptomics

Dataset Information

0

Whole transcriptome analysis identifies a subset of Group A var genes that encode the malaria parasite ligands for binding to human brain endothelial cells


ABSTRACT: Cerebral malaria is the most deadly manifestation of infection with Plasmodium falciparum. The pathology of cerebral malaria is characterised by the accumulation of infected erythrocytes in the microvasculature of the brain, due to parasite adhesins on the surface of infected erythrocytes binding to human receptors on microvascular endothelial cells. The parasite and host molecules involved in this interaction are unknown. We used the Human Brain Endothelial Cell line HBEC-5i to identify the malaria parasite ligands responsible for binding to human brain endothelial cells. Three P. falciparum strains (HB3, 3D7 and IT/FCR3) were selected for binding to HBEC5i and the whole transcriptome of selected and unselected parasites was analysed using a variant surface antigen-supplemented microarray chip. After selection, the only highly upregulated genes were a subset of group A-like var genes (HB3var3, 3D7_PFD0020c, ITvar7 and ITvar19), that showed 11 to >100-fold higher transcription levels in selected parasites. These genes are highly diverse in sequence, but do however show strong similarities in PfEMP1 architecture. Antibodies raised to the HB3var3 variant recognized the surface of infected erythrocytes and abolished the binding of infected erythrocytes to brain endothelial cells. The subset of Group A PfEMP1 variants identified here provides a new target for interventions to treat or prevent cerebral malaria.

ORGANISM(S): Plasmodium falciparum

PROVIDER: GSE32211 | GEO | 2011/11/01

SECONDARY ACCESSION(S): PRJNA147481

REPOSITORIES: GEO

Similar Datasets

2011-11-01 | E-GEOD-32211 | biostudies-arrayexpress
2023-11-01 | E-MTAB-12730 | biostudies-arrayexpress
2009-01-13 | E-GEOD-9861 | biostudies-arrayexpress
2010-05-06 | E-GEOD-17029 | biostudies-arrayexpress
2009-09-03 | GSE17029 | GEO
2022-08-20 | GSE211439 | GEO
2023-09-30 | GSE227672 | GEO
| MSV000081541 | MassIVE
2009-11-10 | GSE9861 | GEO
2013-05-25 | E-GEOD-47349 | biostudies-arrayexpress