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| http://dx.doi.org/10.5152/akd.2015.6057 | DOI Listing |
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Dual DNAzyme amplification-based colorimetric sensing assay for the identification and quantification of tumor-associated miRNAs.
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State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China. Electronic address:
Herein, we present a colorimetric sensing strategy for the identification and quantification of tumor-associated miRNAs based on dual DNAzyme amplification. In this sensing ensemble, the substrate portion of the Pb-dependent 8-17 DNAzyme combines with the G-quadruplex portion to form a hairpin substrate strand. The two split 8-17 DNAzyme strands are partially complementary to the substrate strand and serve as a recognition unit for binding the target miRNA.
View Article and Find Full Text PDFHolistic monitoring of Campylobacter jejuni biofilms with NanoLuc bioluminescence.
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Biotechnical Faculty, Department of Food Science and Technology, University of Ljubljana, Ljubljana, Slovenia.
Campylobacter jejuni, a major cause of foodborne zoonotic infections worldwide, shows a paradoxical ability to survive despite its susceptibility to environmental and food-processing stressors. This resilience is likely due to the bacterium entering a viable but non-culturable state, often within biofilms, or even initiating biofilm formation as a survival strategy. This study presents an innovative application of NanoLuc bioluminescence to accurately monitor the development of C.
View Article and Find Full Text PDFSensitive and accurate proteome profiling of embryogenesis using Real-Time Search and TMTproC quantification.
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Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, United States; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, United States; Department of Molecular Biology, Princeton University, Princeton, NJ 08544, United States. Electronic address:
Multiplexed proteomics has become a powerful tool for investigating biological systems. Using balancer-peptide conjugates (e.g.
View Article and Find Full Text PDFThe Impact of Fermentation on Aflatoxin and Fumonisin Levels in Sorghum Kernels and Flour Used to Prepare Complementary Food in Kerio Valley, Kenya.
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Department of Human Nutrition, Faculty of Health Sciences Egerton University Nakuru Kenya.
Sorghum is a major ingredient used in the production of complementary foods in Kenya's drylands, particularly in areas like Kerio Valley. However, it is known to be susceptible to aflatoxin and fumonisin contamination, which have adverse effects on human health. The current study aimed to assess the levels of aflatoxin and fumonisin in sorghum kernels and flour from Kerio Valley and to investigate whether fermentation (spontaneous or innoculum facilated) could reduce the levels of toxins.
View Article and Find Full Text PDFConcordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT.
Artif Intell Med
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Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States of America; Medical Physics Graduate Program, Duke University, Durham, NC, United States of America; Department of Radiology, Duke University, Durham, NC, United States of America; Department of Biomedical Engineering, Duke University, Durham, NC, United States of America; Department of Radiation Oncology, Duke University, Durham, NC, United States of America; Department of Pathology, Duke University, Durham, NC, United States of America. Electronic address:
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index, which integrates insights from subgroup analysis and personalized AI time-to-event models. Through its application in refining lung cancer screening (LCS) predictions generated by an individualized AI time-to-event model trained with fused data of low dose CT (LDCT) radiomics with patient demographics, we demonstrate its effectiveness, resulting in improved risk assessment compared to the Lung CT Screening Reporting & Data System (Lung-RADS). Subgroup-based Lung-RADS faces challenges in representing individual variations and relies on a limited set of predefined characteristics, resulting in variable predictions.
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