Excel · study · 2026
Transcriptomic Profiling of Blood-Stage Plasmodium falciparum in Children with Severe Malarial Anemia
Listed in NCBI GEO
Malaria is a major global health threat, with millions of cases and hundreds of thousands of deaths reported annually, primarily in sub-Saharan Africa.
Description
Children under five years of age residing in holoendemic Plasmodium falciparum transmission regions are the most vulnerable to malaria, accounting for vast majority of cases and mortality. The major clinical manifestation of severe malaria in these children is severe malarial anemia [SMA, hemoglobin (Hb)<6.0 g/dL].
The molecular mechanisms underlying SMA pathogenesis, particularly the contribution to this disease process of P. falciparum gene activities at transcriptomic levels, remain largely unexplored. As such, the overall objective of the study was to profile the blood-stage Plasmodium falciparum transcriptome in children with SMA. To achieve this goal, we performed RNAseq on total RNA from peripheral blood samples of 60 pediatric malaria patients (3-36 months) with non-SMA (Hb≥6.0 g/dL, n=40) and SMA (n=20) at enrollment.
Read the rest (2 more)
The RNA reads were mapped to the P. falciparum reference genome (PfKE01). Diffentially expressed genes (DEGs) in SMA relative to non-SMA and relevant biological pathways in P. falciparum were identified. In addition, the performance of the expressed parasite genes in predicting SMA was assesed.
These findings promote the identification of potential parasite-derived biomarkers and therapeutic targets for improving SMA management.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE316nnn/GSE316842 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE316842 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1405121 ncbi.nlm.nih.gov/bioproject/PRJNA1405121 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE316842 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |