2013
DOI: 10.1002/jps.23633
|View full text |Cite
|
Sign up to set email alerts
|

DSF Method Optimization and Its Application in Predicting Protein Thermal Aggregation Kinetics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
13
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 30 publications
(16 citation statements)
references
References 30 publications
(88 reference statements)
3
13
0
Order By: Relevance
“…The α-β transition temperature shows an exponential decay as a function of the polypeptide concentration. A comparable concentration dependence of thermally-induced conformational changes has been reported for several systems 41 42 43 . For PLL, differences in the temperature-induced α-β transition depending on polypeptide concentration have been mentioned in earlier reports 37 44 45 46 , but, to the best of our knowledge, it has not been investigated in a systematic manner.…”
Section: Resultssupporting
confidence: 78%
“…The α-β transition temperature shows an exponential decay as a function of the polypeptide concentration. A comparable concentration dependence of thermally-induced conformational changes has been reported for several systems 41 42 43 . For PLL, differences in the temperature-induced α-β transition depending on polypeptide concentration have been mentioned in earlier reports 37 44 45 46 , but, to the best of our knowledge, it has not been investigated in a systematic manner.…”
Section: Resultssupporting
confidence: 78%
“…Further investigations on the conformational stability were performed by DSF, a sensitive technique that provides information on the thermal denaturation transitions of proteins and detects stabilizing ligand interactions [ 35 , 36 ]. Remarkably, only the first, low T m transition was detected by DSF, whereas the second appears to be lost due to baseline decay and distortion associated with aggregation of the protein following the unfolding of the first domain ( Figures 3 C and 3 D) [ 37 ].…”
Section: Resultsmentioning
confidence: 99%
“…The advantages of DSF compared with conventional μDSC are the high‐throughput design with small sample volumes and short analysis times, which renders this method essential for formulation development. μDSC is needed for the detailed thermodynamic characterization based on heat capacity data with high resolution of all unfolding events or when excipients like surfactants challenge the application of DSF, although the gaps for application are closing . Furthermore, DSF in combination with k D and A2* analysis at higher temperatures helps to understand the link between unfolding, intermolecular interactions, and aggregation upon heating.…”
Section: Resultsmentioning
confidence: 99%