Molecular hybridization assay, especially involving the use of tissues directly, has been developed as a rapid, simple and important technique for plant pathogen detection and/or gene expression analysis on a large scale. In theory, this method relies on the specific binding of a labeled probe to a target nucleotide sequence. However, occasional false positive reactions can pose a problem in its application and the cause is often not well understood. Here, we show that in tissue-printing hybridization to detect Peach latent mosaic viroid (PLMVd) strong signals could arise by interactions between the viroid probe and plant proteins. Such probe-protein interactions made it difficult to show significant correlations between viroid infection and the level of hybridization signals. These results challenge the traditional view that proteins may hamper PCR reactions but have no influence on molecular hybridization. They further demonstrate that such probe-protein interactions in a plant could compromise the quality of molecular hybridization assays for viroid detection. Our results uncovered an important source of false positive reactions in tissue-printing hybridization and suggest that specificity can be improved by removing proteins.
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http://dx.doi.org/10.1016/j.virusres.2009.06.011 | DOI Listing |
Otol Neurotol
February 2025
Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
Objective: To compare the diagnostic capability of Pöschl reformations created from temporal bone CT (TBCT) and high-resolution noncontrast CT head exams (HR-NECTH) to detect and classify superior semicircular canal (SSC) abnormalities.
Study Design: Retrospective case review.
Setting: Tertiary referral center.
J Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
Ophthalmol Ther
January 2025
International Health Policy Program (IHPP), Ministry of Public Health, Nonthaburi, Thailand.
Introduction: Screening diabetic retinopathy (DR) for timely management can reduce global blindness. Many existing DR screening programs worldwide are non-digital, standalone, and deployed with grading retinal photographs by trained personnel. To integrate the screening programs, with or without artificial intelligence (AI), into hospital information systems to improve their effectiveness, the non-digital workflow must be transformed into digital.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom.
A value is conventionally interpreted either as a) the probability by chance of obtaining more extreme results than those observed or b) a tool for declaring significance at a prespecified level. Both approaches carry difficulties: b) does not allow users to make inferences based on the data in hand, and is not rigorously followed by researchers in practice, while (a) is not meaningful as an error rate. Although values retain an important role, these shortcomings are likely to have contributed significantly to the scientific reproducibility crisis.
View Article and Find Full Text PDFIntroduction Mucormycosis is an uncommon fungal infection caused by filamentous fungi of the Mucorales order, namely Rhizopus, Lichthemia, andMucor species. The incidence and prevalence of mucormycosis reached an all-time high during the COVID-19 pandemic due to excessive steroid use and other factors, leading to the coining of the term CAM (COVID Associated Mucormycosis). The diagnosis of mucormycosis is by a combination of histopathology and microbiological techniques, such as KOH mount and culture.
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