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Field-Based cDNA-Biosensor for Accurate Detection of Canine Distemper Virus in Tissue Samples.
Appl Biochem Biotechnol
November 2024
Department of Molecular Biology and Biotechnology, University of Dar es Salaam, P.O. Box 35179, Dar es Salaam, Tanzania.
Canine distemper, a viral disease with a global impact on various animals including dogs, foxes, wolves, lions, and leopards, requires early diagnosis for effective treatment and outbreak control. Common laboratory methods, such as enzyme-linked immunosorbent assay, polymerase chain reaction, and viral isolation, face challenges such as extended turnaround times, high costs, and the expertise required. This study has developed a field-based biosensor for detecting the canine distemper virus (CDV), utilising a screen-printed carbon electrode (SPCE) and a computer-assisted portable potentiostat.
View Article and Find Full Text PDFBubble DNA tweezer: A triple-conformation sensor responsive to concentration-ratios.
iScience
March 2024
School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
DNA tweezers, with their elegant simplicity and flexibility, have been pivotal in biosensing and DNA computing. However, conventional tweezers are confined to a binary transformation pre/post target signal recognition, limiting them to presence/absence judgments. This study introduces bubble DNA tweezers (BDT), capable of three distinct conformations based on variable target signal ratios.
View Article and Find Full Text PDFNon-complementary computation.
Nat Chem
January 2023
Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA.
The discovery of the DNA double helix has revolutionized our understanding of data processing in living systems, with the complementarity of the two DNA strands providing a reliable mechanism for the storage of hereditary information. Here I reveal the 'strand commutation' phenomenon-a fundamentally different mechanism of information storage and processing by DNA/RNA based on the reversible low-affinity interactions of essentially non-complementary nucleic acids. I demonstrate this mechanism by constructing a memory circuit, a 5-min square-root circuit for 4-bit inputs comprising only nine processing ssDNAs, simulating a 572-input AND gate (surpassing the bitness of current electronic computers), and elementary algebra systems with continuously changing variables.
View Article and Find Full Text PDFManipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches.
BMC Genomics
June 2022
ecSeq Bioinformatics GmbH, Sternwartenstraße 29, Leipzig, 04103, Germany.
Background: Calling germline SNP variants from bisulfite-converted sequencing data poses a challenge for conventional software, which have no inherent capability to dissociate true polymorphisms from artificial mutations induced by the chemical treatment. Nevertheless, SNP data is desirable both for genotyping and to understand the DNA methylome in the context of the genetic background. The confounding effect of bisulfite conversion however can be conceptually resolved by observing differences in allele counts on a per-strand basis, whereby artificial mutations are reflected by non-complementary base pairs.
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