Advanced Biosensing Techniques and Applications

NULISA is a proteomic platform with attomolar sensitivity and high multiplexing, enabling detection of low-abundance proteins in liquid biopsies.

This study develops a sensitive and accurate digital ELISA to measure LOX concentration in human serum, showing higher levels in bladder cancer patients compared to healthy controls.

The paper develops a Bayesian hierarchical model to extract posterior distributions and ranks from protein microarray data, showing improved performance over existing methods.

Using inter-plate duplicates from 102 donors, a self-contained normalization of the 7k SomaScan plasma assay yields median CV 4.5% across 7,288 human-protein SOMAmers.

The paper develops a pre-processing pipeline to correct technical variation in protein microarrays, showing that preprocessing impacts downstream analysis validity.

This paper introduces a theoretical framework called PrISM for proteome-scale single-molecule protein identification using multi-affinity reagents and demonstrates its high coverage and dynamic range in simulations.

This paper introduces a protein microarray-based in vitro transglutaminase assay platform to identify TG modification sites and their implications for immunodominant epitope determination.

PAWER is an online tool that streamlines protein microarray analysis by integrating preprocessing, differential expression, and functional enrichment into a user-friendly interface, with an accompanying R package for advanced use.

The paper introduces an R package for automated and reproducible analysis of kinase activity data from PamChip(R) arrays.

The paper demonstrates a high-throughput platform for protein function assays using a DNA sequencing chip, quantifying antibody binding and enzyme activity with high throughput.

The paper evaluates the Zeptosens RPPA platform for protein profiling in cancer samples, demonstrating its sensitivity, reproducibility, and accuracy.