Important role of matrix metalloproteinase 9 in epileptogenesis

Temporal lobe epilepsy (TLE) is a devastating disease in which aberrant synaptic plasticity plays a major role. We identify matrix metalloproteinase (MMP) 9 as a novel synaptic enzyme and a key pathogenic factor in two animal models of TLE: kainate-evoked epilepsy and pentylenetetrazole (PTZ) kindling-induced epilepsy. Notably, we show that the sensitivity to PTZ epileptogenesis is decreased in MMP-9 knockout mice but is increased in a novel line of transgenic rats overexpressing MMP-9. Immunoelectron microscopy reveals that MMP-9 associates with hippocampal dendritic spines bearing asymmetrical (excitatory) synapses, where both the MMP-9 protein levels and enzymatic activity become strongly increased upon seizures. Further, we find that MMP-9 deficiency diminishes seizure-evoked pruning of dendritic spines and decreases aberrant synaptogenesis after mossy fiber sprouting. The latter observation provides a possible mechanistic basis for the effect of MMP-9 on epileptogenesis. Our work suggests that a synaptic pool of MMP-9 is critical for the sequence of events that underlie the development of seizures in animal models of TLE.     

Molecular basis of the dual functions of 2B4 (CD244)

2B4 belongs to the CD2 family of molecules and is expressed on all NK, gammadelta, and memory CD8(+) (alphabeta) T cells. The murine NK receptor 2B4 exhibits both inhibitory and activating functions, whereas human 2B4 has been reported to be an activating molecule. How murine 2B4 can act both as an activating and inhibitory receptor and what distinguishes its function from human 2B4 have remained largely unknown. We use here a model system that allows the study of human and murine 2B4 under identical and controlled conditions. These studies reveal that both human and mouse 2B4 can activate or inhibit NK cells. We show here that the level of 2B4 expression and the degree of 2B4 cross-linking play a significant role in the regulation of signaling lymphocyte activation molecule-associated protein-mediated activation by 2B4. A high level of 2B4 expression, heavy cross-linking, and relative paucity of signaling lymphocyte activation molecule-associated protein promote inhibitory function. Our studies demonstrate how a single receptor can have opposing function depending on the degree of receptor expression, extent of its ligation, and the relative abundance of certain adaptor molecules. Because the levels of 2B4 and CD48 are dynamically regulated, these findings have implications for the regulation of NK cell function.     

Comparative structural analysis of a novel glutathioneS-transferase (ATU5508) from Agrobacterium tumefaciens at 2.0 A resolution

Glutathione S-transferases (GSTs) comprise a diverse superfamily of enzymes found in organisms from all kingdoms of life. GSTs are involved in diverse processes, notably small-molecule biosynthesis or detoxification, and are frequently also used in protein engineering studies or as biotechnology tools. Here, we report the high-resolution X-ray structure of Atu5508 from the pathogenic soil bacterium Agrobacterium tumefaciens (atGST1). Through use of comparative sequence and structural analysis of the GST superfamily, we identified local sequence and structural signatures, which allowed us to distinguish between different GST classes. This approach enables GST classification based on structure, without requiring additional biochemical or immunological data. Consequently, analysis of the atGST1 crystal structure suggests a new GST class, distinct from previously characterized GSTs, which would make it an attractive target for further biochemical studies.     

The prevalence of incidentaloma--asymptomatic thyroid nodules in the Tricity (Gdansk, Sopot, Gdynia) population

INTRODUCTION: The increased sensitivity of imaging devices raised number of incidentally discovered lesions in various organs of the human body. Thyroid gland is one of them. Reported prevalence of ultrasonographically detected thyroid nodules (incidentalomas) in general population ranges from 5.2 to 67.0%. Our study demonstrated occurrence of this clinical problem in the general population of the Tricity. MATERIAL AND METHODS: 135 healthy adults (95 women and 40 men) were examined. Neck palpation, ultrasonographic examinations of thyroid gland and serum tyreotropin (TSH) level measurement were made. RESULTS: In 8.9% of examine (12/135) persons nodules were palpable whereas in 14.8% (20/135) they were detectable only in ultrasonographic examination. Altogether thyroid ultrasound and palpation revealed nodules in 23.7% (32/135) of all cases. Multiple nodules were present in 12.0% of the cases. The pathology was more common in the elderly and in women. TSH serum level was within normal range in all cases of incidentaloma with otherwise normal thyroid gland. CONCLUSIONS: Prevalence of thyroid gland nodules (palpation--8.9% plus ultrasonography--14.8%) in healthy population of Gdansk, Gdynia and Sopot is close to data reported in southern Finland (27.0%) and Belgium (19.0%), where iodine deficiency is small, like in the Tricity area. The revealed lesions were over two times more frequent in the female population. Most of the nodules were not palpable.     

Improved machine learning method for analysis of gas phase chemistry of peptides

Background  

Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) of peptides from complex digests with theoretically derived spectra from a database of protein sequences. Improved discrimination is achieved with theoretical spectra that are based on simulating gas phase chemistry of the peptides, but the limited understanding of those processes affects the accuracy of predictions from theoretical spectra.     

On the Relation Between the Predicted Secondary Structure and the Protein Size

Accurately predicted protein secondary structure provides useful information for target selection, to analyze protein function and to predict higher dimensional structure. Existing research shows that more data + refined search = better prediction. We analyze relation between the prediction accuracy and another crucial factor, the protein size. Empirical tests performed with two secondary structure predictors on a large set of high-resolution, non-redundant proteins show that the average accuracies for small proteins (<100 residues) equal 73% and 54% for alpha-helices and beta-strands, respectively. The alpha-helix/beta-strand accuracies for very large proteins (>300 residues) equal 77%/68%, respectively. Similarly, the tests with three secondary structure content predictors show that the prediction errors for the small/very large proteins equal 0.13/0.09 and 0.09/0.06 for alpha-helix and beta-strand content, respectively. Our tests confirm that the secondary structure/content predictions for the very large proteins are characterized statistically significantly better quality than prediction for the small proteins. This is in contrast with the tertiary structure predictions in which higher accuracy is obtained for smaller proteins.