Seasonal transcriptional profiling of malaria parasites using a new single-cell atlas of a Malian <i>Plasmodium falciparum</i> isolate
Bibliographic record
Abstract
Abstract Asymptomatic persistence is crucial for the survival of malaria parasites in seasonal transmission settings, where transmission halts during dry months, while mosquitos are scarce and new infections rare. How Plasmodium falciparum avoids causing host symptoms or being cleared is not fully understood. Parasites that persist through the dry season circulate longer within the ∼48h replication cycle compared to parasites isolated from clinical cases, where only early stages circulate. The mechanisms promoting increased circulation and avirulent infections bridging two wet seasons remain unclear. We generated a single-cell RNA-seq reference atlas with P. falciparum erythrocytic stages of a recently adapted isolate, and with it defined the developmental stage of over 25000 parasites from six asymptomatic children at the dry-wet season transition, and nine children with clinical malaria in the wet season. Our data confirms that older parasites circulate in the dry season, and reveals transcriptional modulation of exported proteins that affect cytoadhesion of infected erythrocytes, which we validated by immuno-fluorescence microscopy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".