Two-Dimensional Electrophoresis of Proteins: Detection and Characterization of Male-Mediated Genotoxicity

Author(s):  
Carol S. Giometti
Author(s):  
Philip W. Pemberton ◽  
Robert W. Lobley ◽  
Raymond Holmes ◽  
Susanne H. Sørensen ◽  
Kenneth W. Simpson ◽  
...  

1986 ◽  
Vol 64 (9) ◽  
pp. 2073-2081 ◽  
Author(s):  
Robert S. Jeng

Soluble mycelial proteins from Ophiostoma ulmi (Buism.) Nannf., the causal agent of Dutch elm disease, were separated by analytical electrofocusing and two-dimensional electrophoresis in polyacrylamide gels. Results showed the aggressive and nonaggressive strains of this pathogen each had about 60 Coomassie blue stained bands having isoelectric points from 3 to 7. Both strains of this fungus had their own characteristic electrofocusing patterns. Nonaggressive isolate S116, for example, lacked two protein bands, one near the anode and one near the cathode, but it had five additional protein bands distributed from pH 4 to 6. Two-dimensional electrophoresis of total soluble proteins depicted that there were 36 proteins found to be specific for the nonaggressive isolate S116 and 12 proteins for the aggressive isolate RR2.


2017 ◽  
Vol 13 (1) ◽  
pp. 63-68
Author(s):  
Artūras Serackis ◽  
Dalius Matuzevičius ◽  
Dalius Navakauskas ◽  
Eldar Šabanovič ◽  
Andrius Katkevičius ◽  
...  

Abstract The aim of the investigation presented in this paper was to develop a software-based assistant for the protein analysis workflow. The prior characterization of the unknown protein in two-dimensional electrophoresis gel images is performed according to the molecular weight and isoelectric point of each protein spot estimated from the gel image before further sequence analysis by mass spectrometry. The paper presents a method for automatic and robust identification of the protein standard band in a two-dimensional gel image. In addition, the method introduces the identification of the positions of the markers, prepared by using pre-selected proteins with known molecular mass. The robustness of the method was achieved by using special validation rules in the proposed original algorithms. In addition, a self-organizing map-based decision support algorithm is proposed, which takes Gabor coefficients as image features and searches for the differences in preselected vertical image bars. The experimental investigation proved the good performance of the new algorithms included into the proposed method. The detection of the protein standard markers works without modification of algorithm parameters on two-dimensional gel images obtained by using different staining and destaining procedures, which results in different average levels of intensity in the images.


1997 ◽  
Vol 18 (15) ◽  
pp. 2823-2831 ◽  
Author(s):  
Christian Scheler ◽  
Eva-Christina Müller ◽  
Joachim Stahl ◽  
Ursula Müller-Werdan ◽  
Johann Salnikow ◽  
...  

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