ArticleVirulence2026
Epigenetic analysis of sheep mycoplasma pneumonia and the effect of
Article in Virulence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycoplasma pneumonia (MP), as a global infectious disease in sheep, seriously affects the production performance of sheep and economic benefits of sheep industry. However, current research on sheep resistance to MP remains limited. To address this gap and explore the potential epigenetic regulation of sheep MP resistant, this study employed high-throughput sequencing techniques (ATAC-Seq and CUT&Tag) to analyze epigenetic modifications in lung tissue from healthy and MP-affected sheep and reveal differential epigenetic landscapes associated with disease resistance. Integrating transcriptome analysis related to MP and genome-wide association studies (GWAS),
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.