AIMC Topic: Nanopores

Clear Filters Showing 1 to 10 of 57 articles

Nanopore Analysis of Malto-oligosaccharides from Amylose, Amylopectin, and Cyclodextrin Hydrolysates.

Nano letters
Malto-oligosaccharides, structurally diverse glucose polymers comprising 2-10 monosaccharide units, play vital roles in food science, pharmaceuticals, and glycobiology. However, their precise structural characterization remains challenging due to sub...

Mechanisms of Adeno-Associated Virus Serotype 9 Vector Characterization and Quality Control through Solid-State Nanopores.

ACS nano
Adeno-associated virus (AAV) vectors are excellent gene-delivery carriers in gene therapy; however, improperly packaged capsids produced during manufacturing can reduce potency and raise safety concerns. We introduce a machine-learning-assisted, low-...

Nanopore Fingerprinting of Structurally Diverse Amino Acid-Conjugated Bile Acids.

Nano letters
Bile acids are key signaling molecules implicated in various hepatobiliary and metabolic diseases. Synthesized via distinct pathways and undergoing diverse modifications, bile acids exhibit significant structural variation. The discovery of novel ami...

Advancing DNA and RNA Modification Detection via Nanopore Sequencing.

ACS nano
DNA/RNA modifications are crucial for biological processes. To understand their regulatory mechanisms, precise mapping and quantification of these modifications are essential. Although next-generation sequencing can detect the location and stoichiome...

Empowering low-crosstalk, dynamic-decision random access of DNA storage via 384-multiplexed nanopore signatures.

Nature communications
On-demand access to information encoded in nucleotides lies at the heart of DNA/RNA applications. However, contemporary methods for targeted retrieval using PCR amplification or bead-based extraction, rely on Watson-Crick base pairing and pre-defined...

DNA Nanostructures Characterized via Dual Nanopore Resensing.

ACS nano
DNA nanotechnology uses predictable interactions of nucleic acids to precisely engineer complex nanostructures. Characterizing these self-assembled structures at the single-structure level is crucial for validating their design and functionality. Nan...

Parametrically guided design of beta barrels and transmembrane nanopores using deep learning.

Proceedings of the National Academy of Sciences of the United States of America
Francis Crick's global parameterization of coiled coil geometry has been widely useful for guiding design of new protein structures and functions. However, design guided by similar global parameterization of beta barrel structures has been less succe...

Unsupervised Clustering of DNA Transmission Footprints Using MoS/WSe Heterojunction.

ACS applied materials & interfaces
Quantum transport-based DNA sequencing is emerging as a promising technique in genetic analysis, offering fast, precise, and scalable decoding of genetic information, holding significant potential for applications in human biology and personalized me...

A high-resolution, nanopore-based artificial intelligence assay for DNA replication stress in human cancer cells.

Nature communications
DNA replication stress is a hallmark of cancer that is exploited by chemotherapies. Current assays for replication stress have low throughput and poor resolution whilst being unable to map the movement of replication forks genome-wide. We present a n...

Single-Molecule SERS Detection of Phosphorylation in Serine and Tyrosine Using Deep Learning-Assisted Plasmonic Nanopore.

The journal of physical chemistry letters
Single-molecule detection of post-translational modifications (PTMs) such as phosphorylation plays a crucial role in early diagnosis of diseases and therapeutics development. Although single-molecule surface-enhanced Raman spectroscopy (SM-SERS) dete...