Without doubt, by integrating sophisticated quantification procedures with increasingly efficient enrichment methods and advanced MS techniques, O-GlcNAcomic profiling is foreseeable in the near future, which would facilitate the in-depth elucidation of the important roles of protein O-GlcNAcylation in diverse biological contexts.
Cell signaling research has recently benefitted from a combination of serial enrichment methods and advances in mass spectrometry technology.
It presents a significant methodological advance over single-study, relative enrichment methods such as Gene Set Enrichment Analysis (GSEA) [ 27] and existing gene-based methods for comparison between platforms and species.
This is in large part due to advances in in pre-analysis enrichment methods [ 156] as well as improvements in both sensitivity and speed of modern mass spectrometers that allow for detection and quantitation in the low-mid ng/mL concentration range.
Concomitantly, various enrichment methods toward specific PTMs have emerged, largely advancing the qualitative and quantitative analysis of PTM-proteomes including the O-GlcNAcome.
Although the detection and characterization of aberrantly glycosylated proteins in biospecimens still face technical challenges, recent advances in MALDI-MS and in the preanalytical enrichment methods such as peptide-N-glycosidase digestion and chromatographic separation have enabled glycoproteomics techniques to positively add to the list of cancer-specific glycoproteins [ 49– 51].
A review of the advances in H2 yield and production rates through different seed inocula enrichment methods, bioreactor design modifications and operational conditions optimization inside the dark fermentation bioreactor is presented.
In recent years, advances in mass spectrometry (MS -based protein analysis technologies, coMS -basedth proteinpeptide enrichment methods, panalysis way for large-scale mapping of phosphorylatechnologiesn vivo [ 13, 18, 23].
Abatangelo, L. et al. Comparative study of gene set enrichment methods.
We are currently following up on these nominal associations using integrative, gene set enrichment methods.
The output of GSEA, like many other enrichment methods, consists of a table of gene-sets and their enrichment statistics.
