34 research outputs found
Improved Protein Hydrogen/Deuterium Exchange Mass Spectrometry Platform with Fully Automated Data Processing
Protein hydrogen/deuterium exchange (HDX) followed by
protease
digestion and mass spectrometric (MS) analysis is accepted as a standard
method for studying protein conformation and conformational dynamics.
In this article, an improved HDX MS platform with fully automated
data processing is described. The platform significantly reduces systematic
and random errors in the measurement by introducing two types of corrections
in HDX data analysis. First, a mixture of short peptides with fast
HDX rates is introduced as internal standards to adjust the variations
in the extent of back exchange from run to run. Second, a designed
unique peptide (PPPI) with slow intrinsic HDX rate is employed as
another internal standard to reflect the possible differences in protein
intrinsic HDX rates when protein conformations at different solution
conditions are compared. HDX data processing is achieved with a comprehensive
HDX model to simulate the deuterium labeling and back exchange process.
The HDX model is implemented into the in-house developed software
MassAnalyzer and enables fully unattended analysis of the entire protein
HDX MS data set starting from ion detection and peptide identification
to final processed HDX output, typically within 1 day. The final output
of the automated data processing is a set (or the average) of the
most possible protection factors for each backbone amide hydrogen.
The utility of the HDX MS platform is demonstrated by exploring the
conformational transition of a monoclonal antibody by increasing concentrations
of guanidine
Improved Protein Hydrogen/Deuterium Exchange Mass Spectrometry Platform with Fully Automated Data Processing
Protein hydrogen/deuterium exchange (HDX) followed by
protease
digestion and mass spectrometric (MS) analysis is accepted as a standard
method for studying protein conformation and conformational dynamics.
In this article, an improved HDX MS platform with fully automated
data processing is described. The platform significantly reduces systematic
and random errors in the measurement by introducing two types of corrections
in HDX data analysis. First, a mixture of short peptides with fast
HDX rates is introduced as internal standards to adjust the variations
in the extent of back exchange from run to run. Second, a designed
unique peptide (PPPI) with slow intrinsic HDX rate is employed as
another internal standard to reflect the possible differences in protein
intrinsic HDX rates when protein conformations at different solution
conditions are compared. HDX data processing is achieved with a comprehensive
HDX model to simulate the deuterium labeling and back exchange process.
The HDX model is implemented into the in-house developed software
MassAnalyzer and enables fully unattended analysis of the entire protein
HDX MS data set starting from ion detection and peptide identification
to final processed HDX output, typically within 1 day. The final output
of the automated data processing is a set (or the average) of the
most possible protection factors for each backbone amide hydrogen.
The utility of the HDX MS platform is demonstrated by exploring the
conformational transition of a monoclonal antibody by increasing concentrations
of guanidine
Time-Resolved Energy-Momentum Spectroscopy of Electric and Magnetic Dipole Transitions in Cr<sup>3+</sup>:MgO
Due to the recent interest in magnetic light-matter interactions, the magnetic dipole (MD) transitions in lanthanide ions have been studied for potential applications in nano-optics. Similar to lanthanide ions, transition-metal ions also exhibit strong MD emission at room temperature, but their prominent MD zero-phonon lines are often accompanied by significant electric dipole (ED) sideband emission. Here, we extend energy-momentum spectroscopy to time-resolved measurements, and use this technique to quantify the ED and MD contributions to light emission from trivalent chromium doped magnesium oxide (Cr<sup>3+</sup>:MgO). This allows us to differentiate the MD <sup>2</sup>E → <sup>4</sup>A<sub>2</sub> zero-phonon line from phonon-assisted <sup>2</sup>E → <sup>4</sup>A<sub>2</sub> and <sup>4</sup>T<sub>2</sub> → <sup>4</sup>A<sub>2</sub> ED sidebands. We also demonstrate how the relative intensities of the sharp MD zero-phonon line and the broad ED sidebands can be used as a qualitative measure of the MD and ED local density of optical states
sj-xlsx-7-onc-10.1177_11795549231199915 – Supplemental material for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas
Supplemental material, sj-xlsx-7-onc-10.1177_11795549231199915 for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas by Gang Xiao, Xie Xu, Zhibo Chen, Jie Zeng and Jianjiang Xie in Clinical Medicine Insights: Oncology</p
sj-jpg-9-onc-10.1177_11795549231199915 – Supplemental material for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas
Supplemental material, sj-jpg-9-onc-10.1177_11795549231199915 for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas by Gang Xiao, Xie Xu, Zhibo Chen, Jie Zeng and Jianjiang Xie in Clinical Medicine Insights: Oncology</p
sj-xlsx-3-onc-10.1177_11795549231199915 – Supplemental material for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas
Supplemental material, sj-xlsx-3-onc-10.1177_11795549231199915 for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas by Gang Xiao, Xie Xu, Zhibo Chen, Jie Zeng and Jianjiang Xie in Clinical Medicine Insights: Oncology</p
sj-xlsx-5-onc-10.1177_11795549231199915 – Supplemental material for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas
Supplemental material, sj-xlsx-5-onc-10.1177_11795549231199915 for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas by Gang Xiao, Xie Xu, Zhibo Chen, Jie Zeng and Jianjiang Xie in Clinical Medicine Insights: Oncology</p
sj-docx-1-onc-10.1177_11795549231199915 – Supplemental material for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas
Supplemental material, sj-docx-1-onc-10.1177_11795549231199915 for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas by Gang Xiao, Xie Xu, Zhibo Chen, Jie Zeng and Jianjiang Xie in Clinical Medicine Insights: Oncology</p
sj-xlsx-4-onc-10.1177_11795549231199915 – Supplemental material for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas
Supplemental material, sj-xlsx-4-onc-10.1177_11795549231199915 for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas by Gang Xiao, Xie Xu, Zhibo Chen, Jie Zeng and Jianjiang Xie in Clinical Medicine Insights: Oncology</p
sj-xlsx-2-onc-10.1177_11795549231199915 – Supplemental material for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas
Supplemental material, sj-xlsx-2-onc-10.1177_11795549231199915 for SPAG5 Expression Predicts Poor Prognosis and is Associated With Adverse Immune Infiltration in Lung Adenocarcinomas by Gang Xiao, Xie Xu, Zhibo Chen, Jie Zeng and Jianjiang Xie in Clinical Medicine Insights: Oncology</p