Highly Ordered and Field-Free 3D DNA Nanostructure: The Next Generation of DNA Nanomachine for Rapid Single-Step Sensing

2018 ◽  
Vol 140 (30) ◽  
pp. 9361-9364 ◽  
Author(s):  
Pu Zhang ◽  
Jie Jiang ◽  
Ruo Yuan ◽  
Ying Zhuo ◽  
Yaqin Chai
Keyword(s):  
Single Step ◽  
Next Generation ◽  
Dna Nanostructure ◽  
Dna Nanomachine

scholarly journals A core-brush 3D DNA nanostructure: the next generation of DNA nanomachine for ultrasensitive sensing and imaging of intracellular microRNA with rapid kinetics

2021 ◽  
Author(s):  
lingqi kong ◽  
Beibei Kou ◽  
Xiaolong Zhang ◽  
Ding Wang ◽  
Yali Yuan ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Next Generation ◽  
Dna Nanostructure ◽  
Rapid Kinetics ◽  
Highly Loaded ◽  
Dna Nanomachine

A highly loaded and integrated core-brush three-dimensional (3D) DNA nanostructure is constructed by programmatically assembling locked DNA walking arm (DA) and hairpin substrate (HS) into a repetitive array along the...

A dynamic 3D DNA nanostructure based on silicon-supported lipid bilayers: a highly efficient DNA nanomachine for rapid and sensitive sensing

2019 ◽  
Vol 55 (89) ◽  
pp. 13414-13417 ◽  
Author(s):  
Zhi-Bin Wen ◽  
Xin Peng ◽  
Ze-Zhou Yang ◽  
Ying Zhuo ◽  
Ya-Qin Chai ◽  
...  
Keyword(s):  
Lipid Bilayers ◽  
Three Dimensional ◽  
Dna Probes ◽  
Supported Lipid Bilayers ◽  
Dna Nanostructure ◽  
Highly Efficient ◽  
Self Powered ◽  
Lipid Interaction ◽  
Dna Nanomachine

Herein, we have developed a dynamic three-dimensional (3D) self-powered DNA nanomachine by anchoring cholesterol-labelled DNA probes to silicon-supported lipid bilayers via cholesterol–lipid interaction.

The power of next-generation sequencing and machine learning for causal gene finding and prediction of phenotypes.

2021 ◽  
pp. 401-410
Author(s):  
Anna S. Sowa ◽  
Lisa Dussling ◽  
Jörg Hagmann ◽  
Sebastian J. Schultheiss
Keyword(s):  
Machine Learning ◽  
Next Generation Sequencing ◽  
Single Step ◽  
Gene Finding ◽  
Next Generation ◽  
Causal Gene ◽  
Efficient Manner ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data ◽  
Generation Sequencing

Abstract The wide application of next-generation sequencing (NGS) has facilitated and accelerated causal gene finding and breeding in the field of plant sciences. A wide variety of techniques and computational strategies is available that needs to be appropriately tailored to the species, genetic architecture of the trait of interest, breeding system and available resources. Utilizing these NGS methods, the typical computational steps of marker discovery, genetic mapping and identification of causal mutations can be achieved in a single step in a cost- and time-efficient manner. Rather than focusing on a few high-impact genetic variants that explain phenotypes, increased computational power allows modelling of phenotypes based on genome-wide molecular markers, known as genomic selection (GS). Solely based on this genotype information, modern GS approaches can accurately predict breeding values for a given trait (the average effects of alleles over all loci that are anticipated to be transferred from the parent to the progeny) based on a large training population of genotyped and phenotyped individuals (Crossa et al., 2017). Once trained, the model offers great reductions in breeding speed and costs. We advocate for improving conventional GS methods by applying advanced techniques based on machine learning (ML) and outline how this approach can also be used for causal gene finding. Subsequent to genetic causes of agronomically important traits, epigenetic mechanisms such as DNA methylation play a crucial role in shaping phenotypes and can become interesting targets in breeding pipelines. We highlight an ML approach shown to detect functional methylation changes sensitively from NGS data. We give an overview about commonly applied strategies and provide practical considerations in choosing and performing NGS-based gene finding and NGS-assisted breeding.

scholarly journals Bead-Immobilized Multimodal Molecular Beacon-Equipped DNA Machinery for Specific RNA Target Detection: A Prototypical Molecular Nanobiosensor

Nanomaterials ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1617
Author(s):  
Jeonghun Kim ◽  
So Yeon Ahn ◽  
Soong Ho Um
Keyword(s):  
Secondary Structure ◽  
Molecular Beacon ◽  
Design Guidelines ◽  
Diagnostic Tools ◽  
Next Generation ◽  
Synthetic Dna ◽  
Dna Nanostructure ◽  
Single Bead ◽  
Specific Selectivity

A variety of nanostructured diagnostic tools have been developed for the precise detection of known genetic variants. Molecular beacon systems are very promising tools due to their specific selectivity coupled with relatively lower cost and time requirements than existing molecular detection tools such as next generation sequencing or real-time PCR (polymerase chain reaction). However, they are prone to errors induced by secondary structure responses to environmental fluctuations, such as temperature and pH. Herein, we report a temperature-insensitive, bead-immobilized, molecular beacon-equipped novel DNA nanostructure for detection of cancer miRNA variants with the consideration of thermodynamics. This system consists of three parts: a molecular beacon for cancer-specific RNA capture, a stem body as a core template, and a single bead for solid-support. This DNA system was selectively bound to nanosized beads using avidin–biotin chemistry. Synthetic DNA nanostructures, designed based on the principle of fluorescence-resonance enhanced transfer, were effectively applied for in vitro cancer-specific RNA detection. Several parameters were optimized for higher performance, with a focus on thermodynamic stability. Theoretical issues regarding the secondary structure of a single molecular beacon and its combinatory forms were also studied. This study provides design guidelines for new sensing systems of miRNA variation for next-generation biotechnological applications.

1477: Durability of Next Generation Flexible Ureteroscopes: Randomized Prospective Study

2004 ◽  
Vol 171 (4S) ◽  
pp. 389-389
Author(s):  
Manoj Monga ◽  
Ramakrishna Venkatesh ◽  
Sara Best ◽  
Caroline D. Ames ◽  
Courtney Lee ◽  
...  
Keyword(s):  
Prospective Study ◽  
Next Generation ◽  
Flexible Ureteroscopes

V884: Demonstration of a Novel Single-Step Percutaneous Access Sheath for Nephrostolithotomy: A Video Presentation

2005 ◽  
Vol 173 (4S) ◽  
pp. 240-240
Author(s):  
Premal J. Desai ◽  
David A. Hadley ◽  
Lincoln J. Maynes ◽  
D. Duane Baldwin
Keyword(s):  
Single Step ◽  
Video Presentation ◽  
Percutaneous Access ◽  
Access Sheath
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