scholarly journals Initial Proteome Analysis of Model Microorganism Haemophilus influenzae Strain Rd KW20

2003 ◽  
Vol 185 (15) ◽  
pp. 4593-4602 ◽  
Author(s):  
Eugene Kolker ◽  
Samuel Purvine ◽  
Michael Y. Galperin ◽  
Serg Stolyar ◽  
David R. Goodlett ◽  
...  

ABSTRACT The proteome of Haemophilus influenzae strain Rd KW20 was analyzed by liquid chromatography (LC) coupled with ion trap tandem mass spectrometry (MS/MS). This approach does not require a gel electrophoresis step and provides a rapidly developed snapshot of the proteome. In order to gain insight into the central metabolism of H. influenzae, cells were grown microaerobically and anaerobically in a rich medium and soluble and membrane proteins of strain Rd KW20 were proteolyzed with trypsin and directly examined by LC-MS/MS. Several different experimental and computational approaches were utilized to optimize the proteome coverage and to ensure statistically valid protein identification. Approximately 25% of all predicted proteins (open reading frames) of H. influenzae strain Rd KW20 were identified with high confidence, as their component peptides were unambiguously assigned to tandem mass spectra. Approximately 80% of the predicted ribosomal proteins were identified with high confidence, compared to the 33% of the predicted ribosomal proteins detected by previous two-dimensional gel electrophoresis studies. The results obtained in this study are generally consistent with those obtained from computational genome analysis, two-dimensional gel electrophoresis, and whole-genome transposon mutagenesis studies. At least 15 genes originally annotated as conserved hypothetical were found to encode expressed proteins. Two more proteins, previously annotated as predicted coding regions, were detected with high confidence; these proteins also have close homologs in related bacteria. The direct proteomics approach to studying protein expression in vivo reported here is a powerful method that is applicable to proteome analysis of any (micro)organism.

Author(s):  
Fatemeh Nasri ◽  
Maryam Zare ◽  
Mehrnoosh Doroudchi ◽  
Behrouz Gharesi-Fard

Background: Polycystic ovary syndrome (PCOS) is the most frequent endocrine disorder affecting 6–7% of premenopausal women. Recent studies revealed that the immune system especially CD4+ T helper cells are important in the context PCOS. Proteome analysis of CD4+ T lymphocytes can provide valuable information regarding the biology of these cells in the context of PCOS. Objective: To investigate immune dysregulation in CD4+ T lymphocytes at the protein level in the context of PCOS using two-dimensional gel electrophoresis (2DE) and mass spectrometry (MS). Methods: In the present study, we applied two-dimensional gel electrophoresis / mass spectrometry to identify proteins differentially expressed by peripheral blood CD4+ T cells in ten PCOS women compared with ten healthy women. Western blot technique was used to confirm the identified proteins. Results: Despite the overall proteome similarities, there were significant differences in the expression of seven spots between two groups (P <0.05). Three proteins, namely phosphatidylethanolamine-binding protein 1, proteasome activator complex subunit 1 and triosephosphate isomerase 1 were successfully identified by Mass technique and confirmed by western blot. All characterized proteins were over-expressed in CD4+ T cells from patients compared to CD4+ T cells from controls (P <0.05). In-silico analysis suggested that the over-expressed proteins interact with other proteins involved in cellular metabolism especially glycolysis and ferroptosis pathway. Conclusion: These findings suggest that metabolic adjustments in CD4+ T lymphocytes, which is in favor of increased glycolysis and Th2 differentiation are important in the context of PCOS.


2013 ◽  
Vol 21 (03) ◽  
pp. 1350020
Author(s):  
HUA-MEI XIN ◽  
YUEMIN ZHU

Two-dimensional gel electrophoresis (2DGE) images are an important support for the analysis of proteins in proteomics. The registration of 2DGE images is considered as one of key elements in protein identification while it is a difficult problem. This paper proposes a new accurate nonlinear registration approach for 2DGE images, based on the exploitation of both spot distance measure and spot intensity. The method consists of three steps: multi-resolution affine registration, spot pairing and thin-plate spline interpolation. The results on both simulated and real gel images show that the proposed method significantly improves registration accuracy in comparison with thin-plate spline registration techniques.


1979 ◽  
Vol 174 (9) ◽  
pp. 822-830 ◽  
Author(s):  
István Gyurján ◽  
Géza Erdös ◽  
Nadiezda P. Yurina ◽  
Marina S. Turischeva ◽  
Margarita S. Odintsova

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