High-throughput lysis and proteolytic digestion of biopsy-level tissue specimens is a major
bottleneck for clinical proteomics. Here we describe a detailed protocol of pressure cycling …

Data-independent acquisition (DIA) mass spectrometry (MS) has emerged as a powerful
technology for high-throughput, accurate, and reproducible quantitative proteomics. This …

A plethora of software suites and multiple classes of spectral libraries have been developed
to enhance the depth and robustness of data-independent acquisition (DIA) data …

Thermal proteome profiling (TPP) provides a powerful approach to studying proteome-wide
interactions of small therapeutic molecules and their target and off-target proteins …

RT-PCR is the primary method to diagnose COVID-19 and is also used to monitor the
disease course. This approach, however, suffers from false negatives due to RNA instability …

Thyroid nodules occur in about 60% of the population. A major challenge in thyroid nodule
diagnosis is to distinguish between follicular adenoma (FA) and carcinoma (FTC). Here, we …

Data independent acquisition mass spectrometry (DIA-MS) has recently emerged as an
important method for the identification of blood-based biomarkers. However, the large …

Deep learning has achieved a notable success in mass spectrometry-based proteomics and
is now emerging in glycoproteomics. While various deep learning models can predict …

A comprehensive pan-human spectral library is critical for biomarker discovery using mass
spectrometry (MS)-based proteomics. DPHL v. 1, a previous pan-human library built from …

COVID‐19 has been a global concern for 3 years, however, consecutive plasma protein
changes in the disease course are currently unclear. Setting the mortality within 28 days of …