scholarly journals Signature Ions in MS/MS Spectra for Dansyl-Aminohexyl-QQIV Adducts on Lysine

Molecules ◽  
2020 ◽  
Vol 25 (11) ◽  
pp. 2659
Author(s):  
Lawrence M. Schopfer ◽  
Oksana Lockridge
Keyword(s):  
Mass Spectrometry ◽  
Heavy Chain ◽  
Plasma Proteins ◽  
Mass Spectrometry Data ◽  
Related Protein ◽  
Apolipoprotein A ◽  
Proteome Discoverer ◽  
Modified Peptides ◽  
Fluorescent Tags ◽  
Human Butyrylcholinesterase

Bacterial transglutaminase was used to label human plasma proteins with fluorescent tags. Protein lysines were modified with dansyl-epsilon-aminohexyl-Gln-Gln-Ile-Val-OH (dansylQQIV), while protein glutamines were modified with dansyl cadaverine. Labeled proteins included human butyrylcholinesterase, apolipoprotein A-1, haptoglobin, haptoglobin-related protein, immunoglobulin heavy chain, and hemopexin. Tryptic peptides were analyzed by LC-MS/MS on an Orbitrap Fusion Lumos mass spectrometer. Modified residues were identified in Protein Prospector and Proteome Discoverer searches of mass spectrometry data. The MS/MS fragmentation spectra from dansylQQIV-modified peptides gave intense peaks at 475.2015, 364.1691, 347.1426, 234.0585, and 170.0965 m/z. These signature ions are useful markers for identifying modified peptides. Human butyrylcholinesterase retained full activity following modification by dansylQQIV or dansyl cadaverine.

scholarly journals Sensitive and reproducible determination of clinical HDL proteotypes

2020 ◽  
Author(s):  
Sandra Goetze ◽  
Kathrin Frey ◽  
Lucia Rohrer ◽  
Silvija Radosavljevic ◽  
Jan Krützfeldt ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Phospholipase D ◽  
Serum Amyloid A ◽  
Serum Amyloid ◽  
Related Protein ◽  
Healthy Individuals ◽  
Amyloid A ◽  
Apolipoprotein A ◽  
Serum Paraoxonase ◽  
Spectral Libraries

AbstractBackgroundHigh-density lipoprotein (HDL) is a heterogenous mixture of blood-circulating multimolecular particles containing many different proteins, lipids, and RNAs. Recent advancements in mass spectrometry-based proteotype analysis strategies enable the sensitive and reproducible quantification of proteins across large patient cohorts.MethodsHDL particles were isolated from plasma of more than 300 healthy individuals or patients with a multiplicity of physiological HDL states. From these, peptides were extracted and HDL proteome spectral libraries were generated. This is a prerequisite for using data-independent acquisition (DIA) strategies to analyze HDL particles from clinical cohorts using mass spectrometry.ResultsThe resulting HDL proteome spectral libraries consist of 296 protein groups and 341 peptidoforms of potential biological significance identified with high confidence. We used the HDL proteome libraries to evaluate HDL proteotype differences in between healthy individuals and patients suffering from diabetes mellitus type 2 (T2DM) and/or coronary heart disease (CHD). Bioinformatic interrogation of the data revealed significant quantitative differences in the HDL proteotypes including a significant depletion of phosphatidylinositol-glycan-specific phospholipase D (PHLD) from disease-derived HDL particles.ConclusionThe DIA-based HDL proteotyping strategy enabled sensitive and reproducible digitization of HDL proteotypes derived from patient cohorts and provides new insights into the composition of HDL particles as a rational basis to decode structure-function-disease relationships of HDL.List of human genes and protein names discussed in the paper- APOA1 (Apolipoprotein A-I)- APOA2 (Apolipoprotein A-II)- APOE (Apolipoprotein E)- APOC3 (Apolipoprotein C3)- CLUS (Clusterin)- PHLD (Phosphatidylinositol-glycan-specific phospholipase D)- PON1 (Serum paraoxonase/arylesterase 1)- PON3 (Serum paraoxonase/lactonase 3)- PSPB (Pulmonary surfactant-associated protein B)- RAB1B (Ras-related protein Rab-1B)- RAB6A (Ras-related protein Rab-6A)- RB11A/B (Ras-related protein Rab-11A/B)- RP1BL (Ras-related protein Rap-1b-like protein)- RAB10 (Ras-related protein Rab-10)- SAA1 (Serum amyloid A-1 protein)- SAA2 (Serum amyloid A-2 protein)- SAA4 (Serum amyloid A-4 protein)- SCRB1 (Scavenger receptor class B member 1)

scholarly journals Prednisolone-Induced Predisposition to Femoral Head Separation and the Accompanying Plasma Protein Changes in Chickens

2015 ◽  
Vol 10 ◽  
pp. BMI.S20268 ◽  
Author(s):  
B. Packialakshmi ◽  
R. Liyanage ◽  
J. O. Lay ◽  
R. Okimoto ◽  
N. C. Rath
Keyword(s):  
Mass Spectrometry ◽  
Femoral Head ◽  
Plasma Proteins ◽  
Differentially Expressed ◽  
Flight Mass Spectrometry ◽  
Apolipoprotein A ◽  
Welfare Problem ◽  
Protocadherin 15 ◽  
Factor C ◽  
Traditional Approaches

Femoral head separation (FHS) is an idiopathic bone problem that causes lameness and production losses in commercial poultry. In a model of prednisolone-induced susceptibility to FHS, the changes in plasma proteins and peptides were analyzed to find possible biomarkers. Plasma samples from control and FHS-susceptible birds were depleted of their high abundance proteins by acetonitrile precipitation and were then subjected to cation exchange and reverse-phase (RP) fractionations. Analysis with matrix assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF-MS) showed several differentially expressed peptides, two of which were isolated by RP-HPLC and identified as the fragments of apolipoprotein A-I. The acetonitrile fractionated plasma proteins were subjected to reduction/alkylation and trypsin digestion followed by liquid chromatography and tandem mass spectrometry, which showed the absence of protocadherin 15, vascular endothelial growth factor-C, and certain transcription and ubiquitin-mediated proteolytic factors in FHS-prone birds. It appears that prednisolone-induced dyslipidemia, vascular, and tissue adhesion problems may be consequential to FHS. Validity of these biomarkers in our model and the natural disease must be verified in future using traditional approaches. Biomarker Insights Lameness because of femoral head separation (FHS) is a production and welfare problem in the poultry industry. Selection against FHS requires identification of the birds with subclinical disease with biomarkers from a source such as blood. Prednisolone can induce femoral head problems and predisposition to FHS. Using this experimental model, we analyzed the plasma peptides and proteins from normal and FHS-prone chickens by mass spectrometry to identify differentially expressed peptides and proteins. We found two peptides, both derived from apolipoprotein A-I, quantitatively elevated and two proteins, protocadherin 15 and VEGF-C, that were conspicuously absent in FHS-susceptible birds.

154: Integration of TPSA and High-Throughput Mass Spectrometry Data Improves Prostate Cancer Prediction

2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
High Throughput ◽  
Mass Spectrometry Data ◽  
Cancer Prediction

Nonparametric Pre-Processing Methods and Inference Tools for Analyzing Time-of-Flight Mass Spectrometry Data.

2007 ◽  
Vol 3 (2) ◽  
pp. 127-147 ◽  
Author(s):  
Anestis Antoniadis ◽  
Jeremie Bigot ◽  
Sophie Lambert-Lacroix ◽  
Frederique Letue
Keyword(s):  
Mass Spectrometry ◽  
Time Of Flight ◽  
Mass Spectrometry Data ◽  
Processing Methods ◽  
Flight Mass Spectrometry

Interlaboratory Comparison of Untargeted Mass Spectrometry Data Uncovers Underlying Causes for Variability

2021 ◽  
Author(s):  
Trevor N. Clark ◽  
Joëlle Houriet ◽  
Warren S. Vidar ◽  
Joshua J. Kellogg ◽  
Daniel A. Todd ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Interlaboratory Comparison ◽  
Mass Spectrometry Data ◽  
Underlying Causes

TopPIC Gateway: A Web Gateway for Top-Down Mass Spectrometry Data Interpretation

2020 ◽  
Author(s):  
In Kwon Choi ◽  
Eroma Abeysinghe ◽  
Eric Coulter ◽  
Suresh Marru ◽  
Marlon Pierce ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Interpretation ◽  
Mass Spectrometry Data ◽  
Top Down ◽  
Top Down Mass Spectrometry

scholarly journals mzML—a Community Standard for Mass Spectrometry Data

2010 ◽  
Vol 10 (1) ◽  
pp. R110.000133 ◽  
Author(s):  
Lennart Martens ◽  
Matthew Chambers ◽  
Marc Sturm ◽  
Darren Kessner ◽  
Fredrik Levander ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometry Data ◽  
Community Standard
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