Biomedical subjects

Venkatarajan S Mathura

Publications and source records attributed to Venkatarajan S Mathura.

9 recordsLinked to original sources

PubMed2006

Cocaine induced inflammatory response in human neuronal progenitor cells.

We have employed a genomic approach in homogenous cell culture to investigate the fundamental transcriptional responses which occur in neurons over time as a consequence of a single 30-min exposure to cocaine. Data from 24 Affymetrix microarrays, representing eight treatment groups, were analyzed by GeneChip Operating Software and then further mined by hierarchical clustering, anova, and Ingenuity Pathway Analysis software to examine known molecular pathways impacted by the observed transcriptional changes. For each time point under investigation, the data sets of genes exhibiting altered expression in treated cells compared with control were interrogated with a specific focus on differential expression of genes involved in immunomodulation and inflammation. The existing literature on the effects of cocaine in a diverse array of experimental paradigms demonstrates a significant modulation of inflammation and immune mechanisms, but these have typically been studies of chronic exposure in immune-competent cells. Our data show a time-dependent up-regulation of genes associated with pro-inflammatory and immune responses, peaking at 24 h as confirmed by all methods of analysis, suggesting a specific neuronal immunomodulatory response to acute cocaine exposure.

Analysis of Variance↗

PubMed2005

Genomic regulation after CD40 stimulation in microglia: relevance to Alzheimer's disease.

Key pathological processes in Alzheimer's disease (AD) include the accumulation of amyloid beta peptide (Abeta) which, in excess, triggers pathological cascades including widespread inflammation, partly reflected by chronic microglial activation. It has previously been suggested that CD40/CD40L interaction promotes AD like pathology in transgenic mice. Thus, amyloid burden, gliosis and hyperphosphorylation of tau are all reduced in transgenic models of AD lacking functional CD40L. We therefore hypothesized that cellular events leading to altered APP metabolism, inflammation and increased tau phosphorylation underlying these observations would be regulated at the genomic level. In the present report, we used the Affymetrix (GeneChip) oligonucleotide microarray U133A to gain insight into the global and simultaneous transcriptomic changes in response to microglia activation after CD40/CD40L ligation. As expected, regulation of elements of the NF-kappaB signaling, chemokine and B cell signaling pathways was observed. Taken together, our data also suggest that CD40 ligation in human microglia specifically perturbs many genes associated with APP processing.

Alzheimer Disease↗

PubMed2005

Model of Alzheimer's disease amyloid-beta peptide based on a RNA binding protein.

Although Alzheimer's Abeta peptide has been shown to form beta-sheet structure, a high-resolution molecular structure is still unavailable to date. A search for a sequence neighbor using Abeta(10-42) as the query in the Protein Data-Bank (PDB) revealed that an RNA binding protein, AF-Sm1 from Archaeoglobus fulgidus (PDB entry: 1i4k chain Z), shared 36% identical residues. Using AF-Sm1 as a template, we built a molecular model of Abeta(10-42) by applying comparative modeling methods. The model of Abeta(10-42) contains an antiparallel beta-sheet formed by residues 16-23 and 32-41. Hydrophobic surface constituted by residues 17-20 (LVFF) separates distinctly charged regions. Residues that interact with RNA in the AF-Sm1 crystal structure were found to be conserved in Abeta. Using a native gel we demonstrate for the first time that RNA can interact with Abeta and selectively retard the formation of fibrils or higher-order oligomers. We hypothesize that in a similar fashion to AF-Sm1, RNA interacts with Abeta in the beta-hairpin (beta-turn-beta) structure and prevents fibril formation.

Amino Acid Sequence↗

PubMed2005

Anti-angiogenic activity of the mutant Dutch A(beta) peptide on human brain microvascular endothelial cells.

Cerebral amyloid angiopathy is a common pathological feature of patients with Alzheimer's disease (AD) and it is also the hallmark of individuals with a rare autosomal dominant disorder known as hereditary cerebral hemorrhage with amyloidosis-Dutch type. We have shown previously that wild type A(beta) peptides are anti-angiogenic both in vitro and in vivo and could contribute to the compromised cerebrovascular architecture observed in AD. In the present study, we investigated the potential anti-angiogenic activity of the Dutch A(beta)(1-40) (E22Q) peptide. We show that compared to wild type A(beta), freshly solubilized Dutch A(beta) peptide more potently inhibits the formation of capillary structures induced by plating human brain microvascular endothelial cells onto a reconstituted basement membrane. Aggregated/fibrillar preparations of wild type A(beta) and Dutch A(beta) do not appear to be anti-angiogenic in this assay. The stronger anti-angiogenic activity of the Dutch A(beta) compared to wild type A(beta) appears to be related to the increased formation of low molecular weight A(beta) oligomers in the culture medium surrounding human brain microvascular endothelial cells. Using oligonucleotide microarray analysis of human brain microvascular endothelial cells, followed by a genome-scale computational analysis with the Ingenuity Pathways Knowledge Base, networks of genes affected by an anti-angiogenic dose of Dutch A(beta) were identified. This analysis highlights that several biological networks involved in angiogenesis, tumorigenesis, atherosclerosis, cellular migration and proliferation are disrupted in human brain microvascular endothelial cells exposed to Dutch A(beta). Altogether, these data provide new molecular clues regarding the pathological activity of Dutch A(beta) peptide in the cerebrovasculature.

Amyloid beta-Peptides↗

PubMed2005

Molego-based definition of the architecture and specificity of metal-binding sites.

Decomposing proteins into "molegos," building blocks that are conserved in sequence and 3D-structure, can identify functional elements. To demonstrate the specificity of the decomposition method, the PCPMer program suite was used to numerically define physical chemical property motifs corresponding to the molegos that make up the metal-containing active sites of three distinct enzyme families, from the dimetallic phosphatases, DNase 1 related nucleases/phosphatases, and dioxygenases. All three superfamilies bind metal ions in a beta-strand core region but differ in the number and type of ions needed for activity. The motifs were then used to automatically identify proteins in the ASTRAL40 database that contained similar motifs. The proteins with the highest PCPMer score in the database were primarily metal-binding enzymes that were related in function to those in the alignment used to generate the PCPMer motif lists. The proteins that contained motifs similar to the dioxygenases differed from those found with PCP-motifs for phosphatases and nucleases. Relatively few metal-binding enzymes were detected when the search was done with PCP-motifs defined for interleukin-1 related proteins, which have a beta-strand core but do not bind metal ions. While the box architecture was constant in each superfamily, the specificity for the metal ion preferred for enzymatic activity is determined by the pattern of carbonyl, hydroxyl or imadazole groups in key positions in the molegos. These results have implications for the design of metal-binding enzymes, and illustrate the ability of the PCPMer approach to distinguish, at the sequence level, structural and functional elements.

Binding Sites↗

PubMed2004

Identification of a zinc finger domain in the human NEIL2 (Nei-like-2) protein.

The recently identified human NEIL2 (Nei-like-2) protein, a DNA glycosylase/AP lyase specific for oxidatively damaged bases, shares structural features and reaction mechanism with the Escherichia coli DNA glycosylases, Nei and Fpg. Amino acid sequence analysis of NEIL2 suggested it to have a zinc finger-like Nei/Fpg. However, the Cys-X2-His-X16-Cys-X2-Cys (CHCC) motif present near the C terminus of NEIL2 is distinct from the zinc finger motifs of Nei/Fpg, which are of the C4 type. Here we show the presence of an equimolar amount of zinc in NEIL2 by inductively coupled plasma mass spectrometry. Individual mutations of Cys-291, His-295, Cys-315, and Cys-318, candidate residues for coordinating zinc, inactivated the enzyme by abolishing its DNA binding activity. H295A and C318S mutants were also shown to lack bound zinc, and a significant change in their secondary structure was revealed by CD spectra analysis. Molecular modeling revealed Arg-310 of NEIL2 to be a critical residue in its zinc binding pocket, which is highly conserved throughout the Fpg/Nei family. A R310Q mutation significantly reduced the activity of NEIL2. We thereby conclude that the zinc finger motif in NEIL2 is essential for its structural integrity and enzyme activity.

Amino Acid Motifs↗

PubMed2004

Using property based sequence motifs and 3D modeling to determine structure and functional regions of proteins.

Homology modeling has become an essential tool for studying proteins that are targets for medical drug design. This paper describes the approach we developed that combines sequence decomposition techniques with distance geometry algorithms for homology modeling to determine functionally important regions of proteins. We show here the application of these techniques to targets of medical interest chosen from those included in the CASP5 (Critical Assessment of Techniques for Protein Structure Prediction) competition, including the dihydroneopterin aldolase from Mycobacterium tuberculosis, RNase III of Thermobacteria maritima, and the NO-transporter nitrophorin from saliva of the bedbug Cimex lectularius. Physical chemical property (PCP) motifs, identified in aligned sequences with our MASIA program, can be used to select among different alignments returned by fold recognition servers. They can also be used to suggest functions for hypothetical proteins, as we illustrate for target T188. Once a suitable alignment has been made with the template, our modeling suite MPACK generates a series of possible models. The models can then be selected according to their match in areas known to be conserved in protein families. Alignments based on motifs can improve the structural matching of residues in the active site. The quality of the local structure of our 3D models near active sites or epitopes makes them useful aids for drug and vaccine design. Further, the PCP motif approach, when combined with a structural filter, can be a potent way to detect areas involved in activity and to suggest function for novel genome sequences.

Aldehyde-Lyases↗

PubMed2003

A multimeric model for murine anti-apoptotic protein Bcl-2 and structural insights for its regulation by post-translational modification.

A monomeric model for murine antiapoptotic protein Bcl-2 was constructed by comparative modeling with the software suite MPACK (EXDIS/DIAMOD/FANTOM) using human Bcl-xL as a template. The monomeric model shows that murine Bcl-2 is an all alpha-helical protein with a central (helix 5) hydrophobic helix surrounded by amphipathic helices and an unstructured loop of 30 residues connecting helices 1 and 2. It has been previously shown that phosphorylation of Ser 70 located in this loop region regulates the anti-apoptotic activity of Bcl-2. Based on our current model, we propose that this phosphorylation may result in a conformational change that aids multimer formation. We constructed a model for the Bcl-2 homodimer based on the experimentally determined 3D structure of the Bcl-xL: Bad peptide complex. The model shows that it will require approximately a half turn in helix 2 to expose hydrophobic residues important for the formation of a multimer. Helices 5 and 6 of the monomeric subunit Bcl-2 have been proposed to form an ion-channel by associating with helices 5 and 6 of another monomeric subunit in the higher-order complex. In the multimeric model of Bcl-2, helices 5 and 6 of each subunit were placed distantly apart. From our model, we conclude that a global conformational change may be required to bring helices 5 and 6 together during ion-channel formation.

Amino Acid Sequence↗

PubMed2003

Identifying property based sequence motifs in protein families and superfamilies: application to DNase-1 related endonucleases.

MOTIVATION: Identification of short conserved sequence motifs common to a protein family or superfamily can be more useful than overall sequence similarity in suggesting the function of novel gene products. Locating motifs still requires expert knowledge, as automated methods using stringent criteria may not differentiate subtle similarities from statistical noise. RESULTS: We have developed a novel automatic method, based on patterns of conservation of 237 physical-chemical properties of amino acids in aligned protein sequences, to find related motifs in proteins with little or no overall sequence similarity. As an application, our web-server MASIA identified 12 property-based motifs in the apurinic/apyrimidinic endonuclease (APE) family of DNA-repair enzymes of the DNase-I superfamily. Searching with these motifs located distantly related representatives of the DNase-I superfamily, such as Inositol 5'-polyphosphate phosphatases in the ASTRAL40 database, using a Bayesian scoring function. Other proteins containing APE motifs had no overall sequence or structural similarity. However, all were phosphatases and/or had a metal ion binding active site. Thus our automated method can identify discrete elements in distantly related proteins that define local structure and aspects of function. We anticipate that our method will complement existing ones to functionally annotate novel protein sequences from genomic projects. AVAILABILITY: MASIA WEB site: http://www.scsb.utmb.edu/masia/masia.html SUPPLEMENTARY INFORMATION: The dendrogram of 42 APE sequences used to derive motifs is available on http://www.scsb.utmb.edu/comp_biol.html/DNA_repair/publication.html

Algorithms↗