Check our new paper in ACS Nano Journal about amplification-free mitochondrial DNA quantification
In our latest research, we introduce a solid-state nanopore method for label-free, amplification-free detection of mitochondrial DNA (mtDNA), a key biomarker for disease. Using machine learning and exonuclease digestion, we achieve high accuracy in distinguishing mtDNA from genomic DNA in biological samples. This approach offers picomolar sensitivity with minimal preparation, making it ideal for clinical diagnostics.
Noam presented his final PhD seminar entitled "Single-Molecule Protein Sensing for Early AMD Diagnosis”
In his seminar, he talked about the use of single-molecule sensing technology for early detection of age-related macular degeneration (AMD), a leading cause of vision loss in older adults. Unlike traditional methods that detect physical damage, this approach analyzes molecular biomarkers like VEGF and Clusterin with high precision. Single-molecule techniques, such as nanopore-based sensors or dynamic sensing using nanoparticles, allow real-time tracking of individual protein interactions, enabling ultrasensitive detection at subfemtomolar levels. These methods improve diagnostic accuracy by identifying molecular changes before significant vision loss occurs, paving the way for earlier intervention and personalized treatments. This innovation could transform AMD management, reducing its socioeconomic impact and enhancing patient outcomes.
Welcome to Meller lab, Ali Kayyal!
Ali Kayyal, new MSc student joined our Lab.
Ali’s research will focus on developing an innovative deep-learning approach for protein classification, using data derived from protein sensing and tracking experiments. This work aims to improve classification accuracy and reveal subtle patterns within protein structures and dynamics, advancing proteomic analysis.
Welcome to our team Ali and best of luck!
Celebrating Rosh Hashanah in Meller lab
As we welcome the Jewish New Year, Rosh Hashanah, our lab takes a moment to reflect on the past year and embrace the opportunities ahead.
We raised a toast to celebrate the new year together.
we wish you a sweet and fulfilling new year! Shana Tova!
Meller lab team new paper in Advanced Materials journal
Full-Length Single Protein Molecules Tracking and Counting in thin Silicon Channels
In this paper, we introduce a single-molecule method for parallel protein separation and tracking, yielding multi-dimensional and are electrophoretically separated by their mass/charge in custom-designed thin silicon channel with subwavelength height. This approach allows us to analyse thousands of individual proteins within a few minutes by tracking their motion during the migration. We demonstrate the power of the method by quantifying a cytokine panel for host-response discrimination between viral and bacterial infections.
Simulation of single-protein nanopore sensing shows feasibility for whole-proteome identification
Our simulations study show feasibility of whole proteome nanopore sensing. Shilo, Arik and Maisa’s paper final version is published in the Open Access journal PloS Computational Biology Congratulations!