Publications by authors named "B V Heil"

The equine uterus is highly interrogated during estrus prior to breeding and establishing pregnancy. Many studies in mares have been performed during estrus under the influence of high estrogen concentrations, including the equine estrual microbiome. To date, it is unknown how the uterine microbiome of the mare is influenced by cyclicity; while, the equine vaginal microbiome is stable throughout the estrous cycle.

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High-throughput gene expression profiling measures individual gene expression across conditions. However, genes are regulated in complex networks, not as individual entities, limiting the interpretability of gene expression data. Machine learning models that incorporate prior biological knowledge are a powerful tool to extract meaningful biology from gene expression data.

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Bacterial endometritis is among the most common causes of subfertility in mares. It has a major economic impact on the equine breeding industry. The sensitivity of detecting uterine microbes using culture-based methods, irrespective of the sample collection method, double-guarded endometrial swab, endometrial biopsy, or uterine low-volume lavage (LVL), is low.

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Invasive species can have large effects on native communities. When native and invasive species share parasites, an epidemic in a native species could facilitate or inhibit the invasion. We sought to understand how the incidence and timing of epidemics in native species caused by a generalist parasite influenced the success and impact of an invasive species.

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Article Synopsis
  • - High throughput gene expression profiling helps researchers develop hypotheses about biological functions and diseases, but has limitations in inferring biological pathways and managing the testing of numerous genes.
  • - The study introduces the Pathway-level information extractor (PLIER), an unsupervised machine learning tool trained on a large dataset of 190,111 mouse brain RNA-sequencing samples, enhancing data interpretation by reducing dimensionality.
  • - The researchers applied mousiPLIER to analyze aging in mouse brain microglia and astrocytes, identifying significant latent variables linked to aging, and created a web server for easy access to these findings, demonstrating its potential to reveal important biological processes.
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