In this study, we employed both untargeted and targeted analysis of low abundance serum proteins to identify potential biomarkers for HCC. We employed a two-phase proteomics approach to identify low abundance serum proteins as potential biomarkers for HCC.The first phase involved DDA-based untargete...
Annotating Low Abundance and Transient RNAs in Yeast using Tiling Microarrays and Ultra High-throughput Sequencing Reveals New Transcripts that are not Conserved Across Closely Related Yeast Species A complete description of the transcriptome of an organism is crucial for a comprehensive understand...
To improve the sensitivity and accuracy of label-free quantification and tandem mass tags (TMT) labeling in quantifying low-abundance proteins, multi-parameter optimization was carried out using a complex 2-proteome artificial sample mixture for a series of steps from sample preparation to data anal...
Data-independent acquisition mass spectrometry (DIA-MS) is a powerful tool for quantitative proteomics, but a well-constructed reference spectral library is crucial to optimize DIA analysis, particularly for low-abundance proteins. In this study, we evaluate the efficacy of a recombinant protein spe...
Top-down mass spectrometry (MS)-based proteomics provides a comprehensive analysis of proteoforms to achieve a proteome-wide understanding of protein functions. However, the MS detection of low-abundance proteins from the blood remains an unsolved challenge due to the complexity and extraordinary dy...
Royal jelly has long been recognized as health food, with a high content of proteins. These proteins play important roles in honeybee caste and human health, but the proteomic analysis of those low-abundance proteins in royal jelly is always a challenge. Herein, we used the Osboren classification me...