scholarly journals Use of dinitrophenol-IgG conjugates to detect sparse antigens by immunogold labeling.

1989 ◽  
Vol 37 (1) ◽  
pp. 69-74 ◽  
Author(s):  
R K Pathak ◽  
R G Anderson

We describe a novel method for localizing sparse antigens in thin sections by protein A-gold labeling. The primary antibody is applied to fixed and detergent-permeabilized cells. The cells are then incubated with an anti-antibody that has been labeled with multiple dinitrophenol residues. The cells are next fixed again with glutaraldehyde and osmium tetroxide fixatives before embedding in Eponate. When thin sections are prepared, the dinitrophenol residues are readily detected with a tertiary anti-DNP antibody followed by protein A-gold labeling. This method offers good sensitivity along with superior morphology. Our test antigen for this method was the receptor for low-density lipoprotein, an antigen which had evaded detection by protein A-gold using ultra-thin cryosections.

2008 ◽  
Vol 394 (1-2) ◽  
pp. 94-98 ◽  
Author(s):  
Sanjay K. Singh ◽  
Madathilparambil V. Suresh ◽  
Deborah C. Prayther ◽  
Jonathan P. Moorman ◽  
Antonio E. Rusiñol ◽  
...  

2016 ◽  
Vol 23 (12) ◽  
pp. 1355-1364 ◽  
Author(s):  
Hideto Chaen ◽  
Shigesumi Kinchiku ◽  
Masaaki Miyata ◽  
Shoko Kajiya ◽  
Hitoshi Uenomachi ◽  
...  

2016 ◽  
Vol 67 (13) ◽  
pp. 1926
Author(s):  
Seth Shay Martin ◽  
Jeffrey W. Meeusen ◽  
Leslie Donato ◽  
Allan Jaffe ◽  
Lori J. Sokoll ◽  
...  

2015 ◽  
Vol 5 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Muhammad Saiedullah ◽  
Nasreen Chowdhury ◽  
Md Aminul Haque Khan

Background: Friedewald’s formula (FF) is used worldwide to calculate low-density lipoprotein cholesterol (LDL-chol). But it has several shortcomings: overestimation at lower triglyceride (TG) concentrations and underestimation at higher concentrations. In FF, TG to very low-density lipoprotein cholesterol (VLDL-chol) ratio (TG/VLDL-chol) is considered as constant, but practically it is not a fixed value. Recently, by analyzing lipid profiles in a large population, continuously adjustable values of TG/VLDL-chol were used to derive a novel method (NM) for the calculation of LDL-chol. Objective: The aim of this study was to evaluate the performance of the novel method compared with direct measurement and regression equation (RE) developed for Bangladeshi population. Materials and Methods: In this cross-sectional comparative study we used lipid profiles of 955 adult Bangladeshi subjects. Total cholesterol (TC), TG, HDL-chol and LDL-chol were measured by direct methods using automation. LDL-chol was also calculated by NM and RE. LDL-chol calculated by NM and RE were compared with measured LDL-chol by twotailed paired t test, Pearson’s correlation test, bias against measured LDL-chol by Bland-Altman test, accuracy within ±5% and ±12% of measured LDL-chol and by inter-rater agreements with measured LDL-chol at different cut-off values. Results: The mean values of LDL-chol were 110.7 ± 32.0 mg/dL for direct measurement, 111.9 ± 34.8 mg/dL for NM and 113.2 ± 31.7 mg/dL for RE. Mean values of calculated LDL-chol by both NM and RE differed from that of measured LDL-chol (p<0.01 for NM and p<0.0001 for RE). The correlation coefficients of calculated LDL-chol values with measured LDL-chol were 0.944 (p<0.0001) for NM and 0.945 (p<0.0001) for RE. Bland- Altman plots showed good agreement between calculated and measured LDL-chol. Accuracy within ±5% of measured LDL-chol was 49% for NM, 46% for RE and within ±12% of measured LDL-chol was 79% for both NM and RE. Inter-rater agreements (?) between calculated and measured LDL-chol at LDL-chol <100 mg/dL, 100–130 mg/dL and >130 mg/dL were 0.816 vs 0.815, 0.637 vs 0.649 and 0.791 vs 0.791 for NM and RE respectively. Conclusion: This study reveals that NM and RE developed for Bangladeshi population have similar performance and can be used for the calculation of LDL-chol. DOI: http://dx.doi.org/10.3329/jemc.v5i1.21491 J Enam Med Col 2015; 5(1): 10-14


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