Metabolism
How do Cryptosporidium oocysts survive outside hosts?
Open access · cc by · source: Europe PMC
Oocyst transcriptomes reveal metabolic features that help Cryptosporidium parvum endure environmental stresses without nutrient supply.
Study at a glance
- Design
- Computational / modelling — Transcriptome profiling of C. parvum oocysts to infer environmental persistence metabolism
- N
- Parasite oocyst transcriptome resource — no single sample N in stored text
- Population
- Cryptosporidium parvum oocysts
- Outcome
- Metabolic features linked to environmental persistence
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
Unique metabolic features linked to surviving without nutrients and resisting environmental stresses; oocyst wall protects four sporozoites.
Methodology
Profiled C. parvum oocyst transcriptomes to infer metabolic capacity related to environmental persistence.
Limitations
Does not itself invent a new clinical drug regimen.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Several papers tagged for this method barely use qPCR as the headline assay. Cryptosporidium oocyst work is a transcriptome of environmental persistence; FECR1 function was tested with dCas9 chromatin immunoprecipitation and TET1/DNMT1 regulation in MDA-MB231 cells; rice histone Kbu/Kcr maps came from mass spectrometry and ChIP-seq. Any qPCR in those studies is at most a supporting check.
Evidence for the claim as stated.
Lexicon tagging also pulls in studies whose core methods are RNA-seq, CasIP or ChIP-seq/MS. Cryptosporidium metabolic inferences, FECR1 promoter RNA pull-downs, and rice histone acylations should not be read as qPCR papers that measured the same class of target.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Lexicon tagging also pulls in studies whose core methods are RNA-seq, CasIP or ChIP-seq/MS. Cryptosporidium metabolic inferences, FECR1 promoter RNA pull-downs, and rice histone acylations should not be read as qPCR papers that measured the same class of target.
- Supports · FLI1 circRNA FECR1 drives metastasis
- Supports · Histone acylations respond to plant stress
Related papers in this topic
Same topic cluster — not a recommendation engine.