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Updated: Aug 2, 2026

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
Published on: February 1, 2022
Graphene Biosensor Differentiating Sensitive Interactions between Ribonucleic Acid and Dipeptide Repeats in
Kantaro Kikuchi1, Yui Yamazaki1, Kohsuke Kanekura2
1Department of Materials Science and Engineering, School of Materials and Chemical Technology, Institute of Science Tokyo, Tokyo 152-8550, Japan.
Graphene field-effect transistors detect interactions between disease-linked peptides and RNA at nanomolar concentrations. This advances understanding of liquid-liquid phase separation in neurodegenerative diseases like ALS and FTD.
Area of Science:
- Biophysics
- Neuroscience
- Materials Science
Background:
- Liquid-Liquid Phase Separation (LLPS) is vital in cell biology and implicated in neurodegenerative diseases such as ALS and FTD.
- Mutations in C9ORF72 gene produce arginine-rich dipeptide repeat proteins (R-DPRs) that disrupt LLPS and contribute to disease pathology.
- Existing methods struggle to detect weak intermolecular interactions within LLPS droplets.
Purpose of the Study:
- To utilize graphene field-effect transistors (GFETs) for sensitive detection of molecular interactions in LLPS.
- To investigate the interaction mechanisms between R-DPRs and RNA.
- To explore the role of peptide properties, like proline-induced rigidity, in LLPS.
Main Methods:
- Immobilization of RNA (poly-A) onto GFETs.
- Measurement of GFET electrical conductivity to detect shifts in the charge neutral point.
- Characterization of interactions with dipeptide repeat peptides (poly(PR), poly(GR), R12) at varying concentrations.
Main Results:
- GFETs detected peptide-RNA interactions at nanomolar concentrations, significantly improving sensitivity over traditional methods.
- Interactions were dependent on peptide concentration and varied between different peptide types.
- Peptides with proline residues showed nonuniform spatial distribution, indicating proline-induced rigidity influences RNA interactions.
Conclusions:
- GFETs offer a highly sensitive platform for studying molecular interactions relevant to LLPS and neurodegenerative diseases.
- Peptide rigidity, particularly from proline residues, plays a key role in multivalent interactions with RNA.
- This research provides new insights into the mechanisms of R-DPRs in LLPS and disease pathogenesis.
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