Publications by authors named "J Claggett"

Remote patient monitoring (RPM) enables clinicians to maintain and adjust their patients' plan of care by using remotely gathered data, such as vital signs, to proactively make medical decisions about a patient's care. RPM interventions have been touted as a means to improve patient care and well-being while reducing costs and resource needs within the health care ecosystem. However, multiple interworking components must be successfully implemented for an RPM intervention to yield the desired outcomes, and the design and key driver of each component can vary depending on the medical context.

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Background: As people increasingly turn to web-based sources for medical information, we offer some insight into what website traits influence patients' credibility assessment. Specifically, we control for brand and content length, while manipulating three website traits: authorship, format, and tone. Furthermore, we focus on medical skepticism to understand how patients with high levels of medical skepticism may react to web-based medical information differently.

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The transcription factor Gcr1 controls expression of over 75% of the genes in actively growing yeast. Yet despite its widespread effects, regulation of Gcr1 itself remains poorly understood. Here, we show that posttranscriptional Gcr1 regulation is nutrient dependent.

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Pre-messenger RNA splicing is carried out by a large ribonucleoprotein complex called the spliceosome. Despite the striking evolutionary conservation of the spliceosomal components and their functions, controversy persists about the relative importance of splicing in Saccharomyces cerevisiae-particularly given the paucity of intron-containing genes in yeast. Here we show that splicing of one pre-messenger RNA, SUS1, a component of the histone H2B ubiquitin protease machinery, is essential for establishing the proper modification state of chromatin.

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Biological networks are inherently modular, yet little is known about how modules are assembled to enable coordinated and complex functions. We used RNAi and time series, whole-genome microarray analyses to systematically perturb and characterize components of a Caenorhabditis elegans lineage-specific transcriptional regulatory network. These data are supported by selected reporter gene analyses and comprehensive yeast one-hybrid and promoter sequence analyses.

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