ICPL—Isotope-Coded Protein Label

2008 ◽  
pp. 113-123 ◽  
Author(s):  
Josef Kellermann
Keyword(s):  
Protein Label

Iodine-125 as a Protein Label in Immunology

Science ◽  
1962 ◽  
Vol 135 (3508) ◽  
pp. 1068-1069 ◽  
Author(s):  
F. W. Fitch ◽  
J. Winebright ◽  
P. V. Harper
Keyword(s):  
Protein Label ◽  
Iodine 125

scholarly journals The Use of 125I as a Membrane Protein Label for Erythrocyte Survival Studies

Blood ◽  
1974 ◽  
Vol 43 (4) ◽  
pp. 549-556 ◽  
Author(s):  
Martin Weintraub ◽  
Kenneth Gerson ◽  
Robert Silber
Keyword(s):  
Hydrogen Peroxide ◽  
Membrane Proteins ◽  
Membrane Protein ◽  
Erythrocyte Membrane ◽  
Red Cell ◽  
Cell Component ◽  
Erythrocyte Survival ◽  
Protein Label ◽  
Survival Studies ◽  
Erythrocyte Membrane Proteins

Abstract Radioactive iodide, incubated with erythrocytes in the presence of lactoperoxidase and hydrogen peroxide, is covalently bound to membrane proteins. Using this technique, rabbit erythrocytes were labeled with 125I, reinjected into the donors, and erythrocyte survivals determined. The values for the erythrocyte half-lives and the shape of the decay curves were comparable to those reported using DF32P. Following hemolysis of erythrocytes double labeled with 125I and 51Cr, radioactivity from both these isotopes appeared mainly in liver, lung, kidney, spleen, and urine. Enzymatic iodination provides a noneluting label of erythrocyte membrane proteins for the study of survival, sequestration and turnover of this red cell component.

Quantitative proteomic Isotope-Coded Protein Label (ICPL) analysis reveals alteration of several functional processes in the glioblastoma

2012 ◽  
Vol 75 (13) ◽  
pp. 3898-3913 ◽  
Author(s):  
Emmanuelle Com ◽  
Anne Clavreul ◽  
Mélanie Lagarrigue ◽  
Sophie Michalak ◽  
Philippe Menei ◽  
...  
Keyword(s):  
Protein Label

scholarly journals CONTRIBUTION OF AMINOACYL-TRANSFER RIBONUCLEIC ACID TO PROTEIN LABEL IN AUTORADIOGRAPHIC EXPERIMENTS

1967 ◽  
Vol 15 (11) ◽  
pp. 702-703 ◽  
Author(s):  
GEORGE P. STUDZINSKI ◽  
LAIRD G. JACKSON ◽  
ROBERT P. PERRY
Keyword(s):  
Ribonucleic Acid ◽  
Protein Label ◽  
Aminoacyl Transfer

scholarly journals Isotope-Coded Protein Label

2020 ◽  
Author(s):  
Keyword(s):  
Protein Label

Effect of mercuric chloride on serum protein catabolism and protein content of rabbit kidney

1962 ◽  
Vol 202 (6) ◽  
pp. 1121-1124 ◽  
Author(s):  
Lawrence I. Gottlieb ◽  
Robert D. Coye
Keyword(s):  
Protein Content ◽  
Serum Protein ◽  
Mercuric Chloride ◽  
Rabbit Kidney ◽  
Protein Catabolism ◽  
Major Site ◽  
Protein Label ◽  
Perfused Kidney

No effect of HgCl2 poisoning on the catabolism of serum protein was noted in rabbits in which I131 was used as the protein label. The amount of I131 remaining in the perfused kidney was much greater in the poisoned animals than in the controls. This increase in label was shown to be due to an increase in the protein. Using T-1824, smaller increases were noted in the poisoned kidneys. The data are interpreted to show that the kidney is not a major site of serum protein catabolism and that the increased protein in the kidney results from increased filtration through a damaged glomerular membrane.

scholarly journals Characterization and Comparative Analysis of Foods with Front-of-Package Protein Claims (P04-149-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Gina McKeon ◽  
William Hallman
Keyword(s):  
Food Products ◽  
Sodium Content ◽  
Cross Sectional ◽  
Frozen Food ◽  
Product Categories ◽  
Funding Sources ◽  
Label Information ◽  
Protein Label ◽  
Quantitative Analyses ◽  
Total Fat

Abstract Objectives The objective of this study is to characterize food products that make front-of-package protein claims. The study will also determine how these protein-labeled products compare nutritionally to similar products without protein claims. Methods Products with front-of-package protein claims were analyzed using Label Insight, an online product database of label information and product images for over 330,000 foods. Product categories with the greatest proportion of products with protein claims were determined. An assessment of which type of protein claim (e.g., “Good Source of Protein,” “5 g of protein per serving”) is present most frequently was performed. Logistic regression was used to predict the types of claims that are made based on the type of product (e.g., yogurt, cereal). Additionally, within those product categories that contain a high proportion of protein-labeled products, a cross-sectional comparison of the calorie, protein, fat, sugar, and sodium content of food products with and without front-of-package protein labels was completed. Results Preliminary data reveal that the three food categories with the greatest proportion of protein claims relative to all products in that category are: Dairy, Frozen Food, and Cereal & Breakfast Foods. These categories are comprised of 15.33%, 14.32%, and 13.83% of products with protein claims, respectively. Preliminary results for the nutritional comparisons of cereal using Mann-Whitney U tests revealed that median protein per 100 g and median total fat per 100 g were both statistically significantly higher in the cereals with protein labels than in the cereal without protein labels, (U = 79, 616.5, P < .001 and U = 31,186.5, P < .001, respectively). Conclusions Our preliminary findings indicate that foods making protein claims are common in multiple product categories and that some nutrients may be higher in those that have a protein label. Ongoing quantitative analyses are further evaluating the extent of these nutritional differences. Funding Sources N/A.

Isotope coded protein label quantification of serum proteins—Comparison with the label-free LC–MS and validation using the MRM approach

Talanta ◽  
2010 ◽  
Vol 80 (4) ◽  
pp. 1487-1495 ◽  
Author(s):  
A. Turtoi ◽  
G.D. Mazzucchelli ◽  
E. De Pauw
Keyword(s):  
Serum Proteins ◽  
Label Free ◽  
Protein Label

scholarly journals Analysis of Ultrafast Transient Absorption Spectroscopy Data using Integrative Data Analysis Platform: 1. Data Processing, Fitting, and Model Selection

2017 ◽  
Author(s):  
Evgenii L. Kovrigin
Keyword(s):  
Data Analysis ◽  
Transient Absorption ◽  
Model Fitting ◽  
Information Criterion ◽  
Transient Absorption Spectroscopy ◽  
Isosbestic Point ◽  
Spectroscopy Data ◽  
Integrative Data Analysis ◽  
Protein Label ◽  
Analysis Platform

ABSTRACTThis manuscript describes a workflow for analysis of transient absorption (TA) spectroscopy data using Integrative Data Analysis Platforms (IDAP) software package. Time-dependent spectral series are analyzed through evaluation of the isosbestic point and kinetics of excited state and ground-state bleach decays. Model fitting and selection based on Akaike’s Information Criterion is discussed. As a practical example, we analyze excitation decays of a common protein label, Alexa Fluor 647.

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