The present disclosure provides a method for identifying a
human growth hormone proteoform (hGHP) pattern biomarker. The method includes: collecting an hGH-secreting pituitary
adenoma tissue sample and a normal pituitary
tissue sample, and extracting tissue proteins, separately; conducting two-dimensional
gel electrophoresis (2DGE), western blotting, and
Coomassie brilliant blue (CBB)
staining, and scanning visualized
polyvinylidene fluoride (PVDF) membranes and 2D gels to obtain digital images; subjecting a corresponding
protein in 2D gel spot to
protein digestion with
trypsin and purification, and conducting
mass spectrometry identification and
bioinformatics analysis to identify a GHP biomarker profile; and in combination with
bioinformatics, using quantitative
phosphoproteomics, quantitative ubiquitinomics, and quantitative acetylomics to identify post-translational modifications (PTMs) and splicing variations in GHP. The present disclosure can identify a change pattern of GHP between a GH-secreting pituitary
adenoma tissue and a normal pituitary tissue. In total, 46 GHPs are identified in the GH-secreting pituitary
adenoma tissue, and only 35 GHPs are identified in the normal pituitary tissue. Therefore, 11 GHPs are only present in the GH-secreting pituitary adenoma tissue.