Determination of the Aggregate Binding Site of Amyloid Protofibrils Using Electron Capture Dissociation Tandem Mass Spectrometry.
Yuko P Y LamChristopher A WoottonIan Hands-PortmanJuan WeiCookson K C ChiuIsolda Romero-CanelonFrederik LermyteMark P BarrowPeter B O'ConnorPublished in: Journal of the American Society for Mass Spectrometry (2020)
Amyloid fibril formation is a hallmark in a range of human diseases. Analysis of the molecular details of amyloid aggregation, however, is limited by the difficulties in solubilizing, separating, and identifying the aggregated biomolecules. Additional labeling or protein modification is required in many current analytical techniques in order to provide molecular details of amyloid protein aggregation, but these modifications may result in protein structure disruption. Herein, ultrahigh resolution mass spectrometry (MS) with electron capture dissociation tandem MS (ECD MS/MS) has been applied to monitor the formation of early oligomers of human islet amyloid polypeptide (hIAPP), which aggregate rapidly in the pancreas of type II diabetes (T2D) patients. ECD MS/MS results show the aggregation region of the early oligomers is at the Ser-28/Ser-29 residue of a hIAPP unit and at the Asn-35 residue of another hIAPP unit near the C-terminus in the gas phase. These data contribute to the understanding of the binding site between hIAPP units which may help for specific target region therapeutic development in the future. Furthermore, MS has also been applied to quantify the amount of soluble amyloid protein remaining in the incubated solutions, which can be used to estimate the aggregation rate of amyloid protein during incubation (28 days). These data are further correlated with the results obtained using fluorescence spectroscopy and transmission electron microscopy (TEM) to generate a general overview of amyloid protein aggregation. The methods demonstrated in this article not only explore the aggregation site of hIAPP down to an amino acid residue level, but are also applicable to many amyloid protein aggregation studies.
Keyphrases
- amino acid
- ms ms
- mass spectrometry
- protein protein
- liquid chromatography
- tandem mass spectrometry
- endothelial cells
- single molecule
- small molecule
- end stage renal disease
- gas chromatography
- adipose tissue
- chronic kidney disease
- electronic health record
- ejection fraction
- big data
- liquid chromatography tandem mass spectrometry
- deep learning
- machine learning
- simultaneous determination
- solid phase extraction
- prognostic factors
- artificial intelligence
- data analysis
- pluripotent stem cells