plasmo_sync

plasmo_sync analyzes single-cell RNA sequencing (scRNA-seq) data from Plasmodium falciparum to characterize cellular heterogeneity, intra-erythrocytic stage transitions, antigenic variation, and temperature-stress adaptation.

Key Features:

• Single-Cell Resolution Analysis: Analyzes scRNA-seq datasets comprising 4,949 and 6,873 synchronized Plasmodium cells for high-resolution clustering and identification of cellular heterogeneity.
• Stress Adaptation Insights: Examines responses to temperature stress that mimic cyclic fever, revealing phenotypic variability linked to stress tolerance and immune evasion.
• Identification of Cellular Subsets: Identifies parasite subsets primed for gametogenesis and subsets adapted for stress, including temperature-induced upregulation of AP2-G driving sexual conversion.
• Pseudotime Analysis: Employs pseudotime analysis to track cell-fate decisions and detect bifurcation points leading to gametogenesis across the intra-erythrocytic cycle.
• Detection of Rare Cell Populations: Detects rare cell populations that emerge under temperature stress indicative of reactive or adaptive states.
• Gene Expression Variability: Highlights genes involved in gametogenesis, chaperone activity, and cellular homeostasis that exhibit significant variation under stress.

Scientific Applications:

• Understanding Parasite Adaptation: Elucidates mechanisms of cellular heterogeneity and stress adaptation in Plasmodium falciparum to explain survival strategies under host-induced temperature stress.
• Drug Resistance Insights: Provides data on cellular homeostasis and stress-response pathways that may inform hypotheses about mechanisms contributing to drug resistance development.
• Research on Malaria Pathogenesis: Supports studies of malaria pathogenesis by detailing stage transitions, antigenic variation, and transcriptional responses to fever-range temperature stress.

Methodology:

plasmo_sync integrates scRNA-seq data analysis with gene signature identification and pseudotime trajectory mapping.