scholarly journals Characterization of human muscle myosins with respect to the light chains

1981 ◽  
Vol 195 (1) ◽  
pp. 251-258 ◽  
Author(s):  
P Volpe ◽  
D Biral ◽  
E Damiani ◽  
A Margreth

Isolated myosins from human predominantly fast and slow muscles, human neonatal and foetal muscle were examined for light chain composition by one- and two-dimensional electrophoresis. The LC1F, LC2F and LC3F light chains were identical with their counterparts from rabbit fast myosin. Human LC1S was identified by correlative criteria as a single component having a molecular weight slightly lower than, but an electric charge similar to, that of rabbit LC1Sb. Consequently, human LC1S appears to be much less heterogeneous relative to LC1F than is the case with other mammalian species. A high immunological cross-reactivity was likewise observed, with antibody specific to rabbit LC1F, between the isolated myosins from several human mixed muscles and rabbit fast myosin, though reactivity was highest with foetal myosin (having a pure-fast-light-chain pattern).

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

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.


2000 ◽  
Vol 47 (4) ◽  
pp. 269-281 ◽  
Author(s):  
Foued S. Espindola ◽  
Daniel M. Suter ◽  
Leticia B.E. Partata ◽  
Tracy Cao ◽  
Joseph S. Wolenski ◽  
...  

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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