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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Published on: June 3, 2019

Graphene Nanopores for Protein Sequencing.

James Wilson¹, Leila Sloman², Zhiren He¹

¹Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.

Advanced Functional Materials

|October 18, 2016

Summary

Graphene nanopores show promise for protein sequencing. Simulations reveal phenylalanine-glycine repeat peptides translocate stepwise, generating ionic current modulations that could enable amino acid identification.

Keywords:

maximum five no full stop not capitalized plural separated by commas

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Last Updated: Mar 13, 2026

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

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Published on: June 3, 2019

Monitoring Protein Adsorption with Solid-state Nanopores

Monitoring Protein Adsorption with Solid-state Nanopores

Published on: December 2, 2011

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Published on: October 31, 2013

Area of Science:

Biophysics
Nanotechnology
Molecular Biology

Background:

Protein sequencing is vital for understanding cellular mechanisms and disease.
Current methods face limitations in speed, cost, and protein size capacity.

Purpose of the Study:

To investigate the feasibility of using graphene nanopores for protein sequencing.
To simulate the translocation behavior of phenylalanine-glycine repeat peptides (FG-nups) through graphene nanopores.

Main Methods:

All-atom molecular dynamics simulations.
Investigated translocation of FG-nups through graphene nanopores under transmembrane bias and hydrostatic pressure gradients.

Main Results:

FG-nups exhibited stepwise translocation behavior on graphene, similar to single-stranded DNA.
Translocation speed was influenced by peptide charge density and hydrophobicity.
Stepwise ionic current modulations correlated with amino acid composition within the nanopore.

Conclusions:

Graphene nanopores offer a potential platform for inexpensive and reliable protein sequencing.
Ionic current blockades during nanopore transport may allow for amino acid identification, paving the way for novel sequencing techniques.