Cysteine-321 of human brain GABA transaminase is involved in intersubunit cross-linking

Gamma-aminobutyrate transaminase (GABA-T), a key homodimeric enzyme of the GABA shunt, converts the major inhibitory neurotransmitter GABA to succinic semialdehyde. We previously overexpressed, purified and characterized human brain GABA-T. To identify the structural and functional roles of the cysteinyl residue at position 321, we constructed various GABA-T mutants by site-directed mutagenesis. The purified wild type GABA-T enzyme was enzymatically active, whereas the mutant enzymes were inactive. Reaction of 1.5 sulfhydryl groups per wild type dimer with 5,5 cent-dithiobis-2-nitrobenzoic acid (DTNB) produced about 95% loss of activity. No reactive -SH groups were detected in the mutant enzymes. Wild type GABA-T, but not the mutants, existed as an oligomeric species of Mr = 100,000 that was dissociable by 2-mercaptoethanol. These results suggest that the Cys321 residue is essential for the catalytic function of GABA-T, and that it is involved in the formation of a disulfide link between two monomers of human brain GABA-T.     

Distinguishing characteristics of hyperrecombinogenic RecA protein from Pseudomonas aeruginosa acting in Escherichia coli

In Escherichia coli, a relatively low frequency of recombination exchanges (FRE) is predetermined by the activity of RecA protein, as modulated by a complex regulatory program involving both autoregulation and other factors. The RecA protein of Pseudomonas aeruginosa (RecA(Pa)) exhibits a more robust recombinase activity than its E. coli counterpart (RecA(Ec)). Low-level expression of RecA(Pa) in E. coli cells results in hyperrecombination (an increase of FRE) even in the presence of RecA(Ec). This genetic effect is supported by the biochemical finding that the RecA(Pa) protein is more efficient in filament formation than RecA K72R, a mutant protein with RecA(Ec)-like DNA-binding ability. Expression of RecA(Pa) also partially suppresses the effects of recF, recO, and recR mutations. In concordance with the latter, RecA(Pa) filaments initiate recombination equally from both the 5' and 3' ends. Besides, these filaments exhibit more resistance to disassembly from the 5' ends that makes the ends potentially appropriate for initiation of strand exchange. These comparative genetic and biochemical characteristics reveal that multiple levels are used by bacteria for a programmed regulation of their recombination activities.     

Profiles of photosynthetic pigment accumulation and expression of photosynthesis-related genes in the marine cyanobacteria Synechococcus sp.: Effects of LED wavelengths

Light quality is a significant environmental factor that influences photosynthetic pigments in cyanobacteria. In the present study, we illuminated the marine cyanobacteria Synechococcus sp. with white (350 ～ 700 nm), red (630 nm), green (530 nm), and blue (450 nm) light emitting diodes (LEDs) and measured pigment levels (chlorophyll, carotenoid, and phycobiliprotein) and expression of photosynthesis-related genes (pebA, psbB, and psaE). The amount of photosynthetic pigments (total pigments, chlorophyll, and phycobiliproteins) was higher in the green and blue LED groups than in the white and red LED groups after 8 days of culture. The cells were prepared in a 1.5 mL solution for the analysis of the total pigments, chlorophyll, and carotenoid, and in a 2 mL for analysis of phycobiliproteins. The mRNA expression levels of pebA and psbB significantly increased after 8 days of cultivation under green and blue light, while the mRNA expression levels of psaE decreased. These results indicate that green and blue light increase the accumulation of photosynthetic pigments. In contrast red light induced mRNA expression of psaE and stimulated cell growth in Synechococcus sp.     

Distinguishing Low-Risk Luminal A Breast Cancer Subtypes with Ki-67 and p53 Is More Predictive of Long-Term Survival

Overexpression of p53 is the most frequent genetic alteration in breast cancer. Recently, many studies have shown that the expression of mutant p53 differs for each subtype of breast cancer and is associated with different prognoses. In this study, we aimed to determine the suitable cut-off value to predict the clinical outcome of p53 overexpression and its usefulness as a prognostic factor in each subtype of breast cancer, especially in luminal A breast cancer. Approval was granted by the Institutional Review Board of Samsung Medical Center. We analyzed a total of 7,739 patients who were surgically treated for invasive breast cancer at Samsung Medical Center between Dec 1995 and Apr 2013. Luminal A subtype was defined as ER&PR + and HER2- and was further subclassified according to Ki-67 and p53 expression as follows: luminal A (Ki-67-,p53-), luminal A (Ki-67+, p53-), luminal A (Ki-67 -, p53+) and luminal A (Ki-67+, p53+). Low-risk luminal A subtype was defined as negative for both Ki-67 and p53 (luminal A [ki-67-, p53-]), and others subtypes were considered to be high-risk luminal A breast cancer. A cut-off value of 10% for p53 was a good predictor of clinical outcome in all patients and luminal A breast cancer patients. The prognostic role of p53 overexpression for OS and DFS was only significant in luminal A subtype. The combination of p53 and Ki-67 has been shown to have the best predictive power as calculated by the area under curve (AUC), especially for long-term overall survival. In this study, we have shown that overexpression of p53 and Ki-67 could be used to discriminate low-risk luminal A subtype in breast cancer. Therefore, using the combination of p53 and Ki-67 expression in discriminating low-risk luminal A breast cancer may improve the prognostic power and provide the greatest clinical utility.