Biomedical subjects

Samir K Brahmachari

Publications and source records attributed to Samir K Brahmachari.

At least 19 recordsLinked to original sources

PubMed2006

Expoldb: expression linked polymorphism database with inbuilt tools for analysis of expression and simple repeats.

BACKGROUND: Quantitative variation in gene expression has been proposed to underlie phenotypic variation among human individuals. A facilitating step towards understanding the basis for gene expression variability is associating genome wide transcription patterns with potential cis modifiers of gene expression. DESCRIPTION: EXPOLDB, a novel Database, is a new effort addressing this need by providing information on gene expression levels variability across individuals, as well as the presence and features of potentially polymorphic (TG/CA)n repeats. EXPOLDB thus enables associating transcription levels with the presence and length of (TG/CA)n repeats. One of the unique features of this database is the display of expression data for 5 pairs of monozygotic twins, which allows identification of genes whose variability in expression, are influenced by non-genetic factors including environment. In addition to queries by gene name, EXPOLDB allows for queries by a pathway name. Users can also upload their list of HGNC (HUGO (The Human Genome Organisation) Gene Nomenclature Committee) symbols for interrogating expression patterns. The online application 'SimRep' can be used to find simple repeats in a given nucleotide sequence. To help illustrate primary applications, case examples of Housekeeping genes and the RUNX gene family, as well as one example of glycolytic pathway genes are provided. CONCLUSION: The uniqueness of EXPOLDB is in facilitating the association of genome wide transcription variations with the presence and type of polymorphic repeats while offering the feature for identifying genes whose expression variability are influenced by non genetic factors including environment. In addition, the database allows comprehensive querying including functional information on biochemical pathways of the human genes. EXPOLDB can be accessed at http://expoldb.igib.res.in/expol.

Base Pairing↗

PubMed2006

Host-virus interaction: a new role for microRNAs.

MicroRNAs (miRNAs) are a new class of 18-23 nucleotide long non-coding RNAs that play critical roles in a wide spectrum of biological processes. Recent reports also throw light into the role of microRNAs as critical effectors in the intricate host-pathogen interaction networks. Evidence suggests that both virus and hosts encode microRNAs. The exclusive dependence of viruses on the host cellular machinery for their propagation and survival also make them highly susceptible to the vagaries of the cellular environment like small RNA mediated interference. It also gives the virus an opportunity to fight and/or modulate the host to suite its needs. Thus the range of interactions possible through miRNA-mRNA cross-talk at the host-pathogen interface is large. These interactions can be further fine-tuned in the host by changes in gene expression, mutations and polymorphisms. In the pathogen, the high rate of mutations adds to the complexity of the interaction network. Though evidence regarding microRNA mediated cross-talk in viral infections is just emerging, it offers an immense opportunity not only to understand the intricacies of host-pathogen interactions, and possible explanations to viral tropism, latency and oncogenesis, but also to develop novel biomarkers and therapeutics.

Eukaryotic Cells↗

PubMed2006

Boolean network analysis of a neurotransmitter signaling pathway.

BACKGROUND: A Boolean network is a simple computational model that may provide insight into the overall behavior of genetic networks and is represented by variables with two possible states (on/off), of the individual nodes/genes of the network. In this study, a Boolean network model has been used to simulate a molecular pathway between two neurotransmitter receptor, dopamine and glutamate receptor, systems in order to understand the consequence of using logic gate rules between nodes, which have two possible states (active and inactive). RESULTS: The dynamical properties of this Boolean network model of the biochemical pathway shows that, the pathway is stable and that, deletion/knockout of certain biologically important nodes cause significant perturbation to this network. The analysis clearly shows that in addition to the expected components dopamine and dopamine receptor 2 (DRD2), Ca(2+) ions play a critical role in maintaining stability of the pathway. CONCLUSION: So this method may be useful for the identification of potential genetic targets, whose loss of function in biochemical pathways may be responsible for disease onset. The molecular pathway considered in this study has been implicated with a complex disorder like schizophrenia, which has a complex multifactorial etiology.

Animals↗

PubMed2006

Pharmacogenomics: a path to predictive medicine for schizophrenia.

A significant variability is observed among patients in response to antipsychotics, and is caused by a variety of factors. This review summarizes the available knowledge of associations between pharmacogenetics and drug response in schizophrenia. The multifactorial etiology of schizophrenia makes it a complex interaction of symptoms. Adopting a pharmacogenomics approach represents a unique opportunity for the prediction of response to antipsychotic drugs by investigating genes implicated with specific symptoms and side effects. A network model of the interaction/crosstalk between the neurotransmitter signaling systems is presented to emphasize the importance of the genes associated with the molecular mechanisms of the disease and drug response. These genes may serve as potential susceptibility genes and drug targets for schizophrenia. The crucial point for the identification of a significant biologic marker(s) will include not only the experimental validation of the genes involved in the neurotransmitter signaling systems, but also the availability of large exactly comparable phenotyped patients samples. Coupling our knowledge of genetic polymorphisms with clinical response data promises a bright future for rapid advances in personalized medicine.

Antipsychotic Agents↗

PubMed2005

SYNGR1 is associated with schizophrenia and bipolar disorder in southern India.

Chromosome 22q11-13 is one of the most consistent linkage regions for schizophrenia (SCZ) and bipolar disorder (BPAD). The SYNGR1 gene, which is associated with presynaptic vesicles in neuronal cells, is located on 22q13.1. We have previously identified a novel nonsense mutation in the SYNGR1 gene in a SCZ pedigree. In the present study, a detailed analysis of this gene was performed in a case-control cohort (198 BPAD, 193 SCZ and 107 controls from southern India) to test for association with SCZ and BPAD. Sequence analysis of all exonic and flanking intronic regions of the SYNGR1 gene in 198 BPAD and 193 SCZ cases revealed a novel mutation Lsy99Glu (in one BPAD patient) and two other novel common polymorphisms [synonymous single nucleotide polymorphism (SNP--Ser97Ser) and an Asn ins/del] in the SYNGR1 gene. We also validated 9 out of 14 dbSNPs in our population. Case-control analysis revealed allelic (P = 0.028-0.00007) association of five polymorphisms with SCZ and/or BPAD cases. Further, 3-SNP (with LD block 1 SNPs) and 2-SNP (with LD block 2 SNPs) haplotype analyses did not show any association with either SCZ or BPAD. Our results support SYNGR1 as a probable susceptibility gene for SCZ and BPAD. Also, the observed association of SYNGR1 with both SCZ and BPAD suggests the likely involvement of a common pathway in the etiology of these disorders.

Adolescent↗

PubMed2005

Targets for human encoded microRNAs in HIV genes.

MicroRNAs (miRNAs) are increasingly being shown to play vital roles in development, apoptosis, and oncogenesis by interfering with gene expression at the post-transcriptional level. miRNAs, in principle, can contribute to the repertoire of host pathogen interactions during HIV-1 infection. Using a consensus scoring approach, high scoring miRNA-target pairs were selected which were identified by four well-established target prediction softwares. While hsa-mir-29a and 29b target the nef gene, hsa-mir-149 targets the vpr gene, hsa-mir-378 targets env, and hsa-mir-324-5p targets the vif gene. Not only were the minimum free energy values lowest for the bound complex, but also, the rules so far observed for microRNA-target pairing, viz., a continuous stretch of 6-7 base pairing towards the 5' end of the miRNA and incomplete complementarity with the target sequence, were found to be valid. The target regions were highly conserved across the various clades of HIV-1. microRNA expression profiles from previously reported microarray based experiments show that the five human miRNAs are expressed in T-cells, the normal site of infection of HIV-1 virus. This is the first report of human microRNAs which can target crucial HIV-1 genes including the nef gene, which plays an important role in delayed disease progression.

Base Pairing↗

PubMed2005

Association of DRD2 gene variant with schizophrenia.

Schizophrenia is a complex multifactorial disorder for which the pathobiology still remains elusive. Dysfunction of the dopamine D2 receptor signaling has been associated with the illness, but numerous studies provide confounding results. This study investigates the association of synonymous polymorphisms (His313 and Pro319) in the dopamine D2 receptor gene with schizophrenia using a case-control approach, with 101 cases and 145 controls. Our results demonstrated that genotype distribution for the His313 polymorphism was significantly different between schizophrenia patients and control subjects (p=0.0012), while the Pro319 polymorphism did not show any association with the disease. The results suggest that the synonymous SNP His313 in DRD2 may be associated with the illness. However, there is a need for further replication studies with larger sample sets.

Adolescent↗

PubMed2005

MLC1 gene is associated with schizophrenia and bipolar disorder in Southern India.

BACKGROUND: Chromosome 22q13 has shown linkage with schizophrenia (SCZ) and bipolar affective disorder (BPAD). A missense mutation in MLC1 (putative cation-channel gene on 22q13) co-segregating with periodic catatonic schizophrenia has been reported. We have investigated the relationship of MLC1 with SCZ and BPAD in Southern India. METHODS: All exons and flanking intronic sequences of MLC1 were screened for novel variations. Case-control (216 BPAD, 193 SCZ, 116 control subjects) and family-based analyses (113 BPAD, 107 SCZ families) were performed to evaluate association of MLC1 with these disorders. RESULTS: We found 33 MLC1 sequence variations, including three novel mutations: Val210Ile, Leu308Gln, and Arg328His in six BPAD cases and Val210Ile in one control individual. Minor allele of a common variation, ss16339182 (in approximately 6 Kb Linkage-Disequilibrium [LD]-block) was associated with BPAD in case-control (p = .03) and family-based analyses (transmitted/nontransmitted [T/NT]-44/20; p = .003). Association was observed for rs2235349 and rs2076137 with SCZ and ss16339163 with BPAD in case-control study. Using Block 2 haplotype tagging single nucleotide polymorphisms (htSNPs), GC haplotype revealed association (p = .02) and excess transmission (p = .002) with BPAD. CONCLUSIONS: Association of MLC1 with SCZ and BPAD suggests involvement of a common pathway. Rare missense mutations and common variants associated with BPAD favors hypothesis about likely involvement of both rare and common polymorphisms in etiology of this complex disorder.

Adult↗

PubMed2005

(TG/CA)n repeats in human gene families: abundance and selective patterns of distribution according to function and gene length.

BACKGROUND: Creation of human gene families was facilitated significantly by gene duplication and diversification. The (TG/CA)n repeats exhibit length variability, display genome-wide distribution, and are abundant in the human genome. Accumulation of evidences for their multiple functional roles including regulation of transcription and stimulation of recombination and splicing elect them as functional elements. Here, we report analysis of the distribution of (TG/CA)n repeats in human gene families. RESULTS: The 1,317 human gene families were classified into six functional classes. Distribution of (TG/CA)n repeats were analyzed both from a global perspective and from a stratified perspective based on their biological properties. The number of genes with repeats decreased with increasing repeat length and several genes (53%) had repeats of multiple types in various combinations. Repeats were positively associated with the class of Signaling and communication whereas, they were negatively associated with the classes of Immune and related functions and of Information. The proportion of genes with (TG/CA)n repeats in each class was proportional to the corresponding average gene length. The repeat distribution pattern in large gene families generally mirrored the global distribution pattern but differed particularly for Collagen gene family, which was rich in repeats. The position and flanking sequences of the repeats of Collagen genes showed high conservation in the Chimpanzee genome. However the majority of these repeats displayed length polymorphism. CONCLUSION: Positive association of repeats with genes of Signaling and communication points to their role in modulation of transcription. Negative association of repeats in genes of Information relates to the smaller gene length, higher expression and fundamental role in cellular physiology. In genes of Immune and related functions negative association of repeats perhaps relates to the smaller gene length and the directional nature of the recombinogenic processes to generate immune diversity. Thus, multiple factors including gene length, function and directionality of recombinogenic processes steered the observed distribution of (TG/CA)n repeats. Furthermore, the distribution of repeat patterns is consistent with the current model that long repeats tend to contract more than expand whereas, the reverse dynamics operates in short repeats.

Animals↗

PubMed2005

Comparative analysis of chromatin landscape in regulatory regions of human housekeeping and tissue specific genes.

BACKGROUND: Global regulatory mechanisms involving chromatin assembly and remodelling in the promoter regions of genes is implicated in eukaryotic transcription control especially for genes subjected to spatial and temporal regulation. The potential to utilise global regulatory mechanisms for controlling gene expression might depend upon the architecture of the chromatin in and around the gene. In-silico analysis can yield important insights into this aspect, facilitating comparison of two or more classes of genes comprising of a large number of genes within each group. RESULTS: In the present study, we carried out a comparative analysis of chromatin characteristics in terms of the scaffold/matrix attachment regions, nucleosome formation potential and the occurrence of repetitive sequences, in the upstream regulatory regions of housekeeping and tissue specific genes. Our data show that putative scaffold/matrix attachment regions are more abundant and nucleosome formation potential is higher in the 5' regions of tissue specific genes as compared to the housekeeping genes. CONCLUSION: The differences in the chromatin features between the two groups of genes indicate the involvement of chromatin organisation in the control of gene expression. The presence of global regulatory mechanisms mediated through chromatin organisation can decrease the burden of invoking gene specific regulators for maintenance of the active/silenced state of gene expression. This could partially explain the lower number of genes estimated in the human genome.

Cell Nucleus↗

PubMed2005

Assessing natural variations in gene expression in humans by comparing with monozygotic twins using microarrays.

Quantitative variation in gene expression in humans is the outcome of various factors, including differences in genetic background, gender, age, and environment. However, the extent of the influence of these factors on gene expression is not clear. We attempted to address this issue by carrying out gene expression profiling in blood leukocytes with 13 individuals (including 5 pairs of monozygotic twins) on 10,000 genes using HG-U95Av2 oligonucleotide microarrays. The proportion of differentially expressed genes between monozygotic twins was low (up to 1.76%). Most of the variations belonged to the least variable category. These genes, exhibiting "random variations," did not show clear preference to any functional class, although "signaling and communication" and "immune and related functions" generally topped the list. The extent of variation in gene expression increased in comparisons between unrelated individuals (up to 14.13%). Most of the genes (89%) exhibiting random variations in twins also varied in expression in unrelated individuals. As with twins, signaling and communication topped the list, and substantial variations were observed in all three categories: least variable, moderately variable, and most variable. An important outcome of this study was that the housekeeping genes were nearly insensitive to random variations but appeared to be more susceptible to genetic differences. However, the highly expressed housekeeping genes exhibited low variation and appeared to be insensitive to all known factors. Gene expression profiling in monozygotic twins can provide useful data for the assessment of natural variation in gene expression in humans.

Adult↗

PubMed2005

ALU-ring elements in the primate genomes.

Elucidation of complete nucleotide sequence of the human has revealed that coding sequences that store the information needed to synthesize functional proteins, occupy only 2% of the genomic region. The remaining 98%, barring few regulatory sequences, has been referred to as non-functional or junk DNA and consists of many kinds of repeat elements. In fact, human genome is the most repeat rich genome sequenced so far, in which more than half of the region is occupied by such sequences. Determination of significance of these repeats in the human genome has become the focus of many studies all over the world, especially after genome sequencing did not reveal any significant difference in coding regions between lower eukaryotes and human. In this article, we have focused on Alu repeats that are primate specific elements with many interesting biological properties. Moreover, these are the repeats with highest copy number in the human genome. We have highlighted different facets of their interaction with the genome and changing paradigms regarding their role in genome organization.

Alu Elements↗

PubMed2004

Conformational analysis of invariant peptide sequences in bacterial genomes.

The functional significance of evolutionarily conserved motifs/patterns of short regions in proteins is well documented. Although a large number of sequences are conserved, only a small fraction of these are invariant across several organisms. Here, we have examined the structural features of the functionally important peptide sequences, which have been found invariant across diverse bacterial genera. Ramachandran angles (phi,psi) have been used to analyze the conformation, folding patterns and geometrical location (buried/exposed) of these invariant peptides in different crystal structures harboring these sequences. The analysis indicates that the peptides preferred a single conformation in different protein structures, with the exception of only a few longer peptides that exhibited some conformational variability. In addition, it is noticed that the variability of conformation occurs mainly due to flipping of peptide units about the virtual C(alpha)...C(alpha) bond. However, for a given invariant peptide, the folding patterns are found to be similar in almost all the cases. Over and above, such peptides are found to be buried in the protein core. Thus, we can safely conclude that these invariant peptides are structurally important for the proteins, since they acquire unique structures across different proteins and can act as structural determinants (SD) of the proteins. The location of these SD peptides on the protein chain indicated that most of them are clustered towards the N-terminal and middle region of the protein with the C-terminal region exhibiting low preference. Another feature that emerges out of this study is that some of these SD peptides can also play the roles of "fold boundaries" or "hinge nucleus" in the protein structure. The study indicates that these SD peptides may act as chain-reversal signatures, guiding the proteins to adopt appropriate folds. In some cases the invariant signature peptides may also act as folding nuclei (FN) of the proteins.

Amino Acid Sequence↗

PubMed2004

Evolution and distribution of RNA polymerase II regulatory sites from RNA polymerase III dependant mobile Alu elements.

BACKGROUND: The primate-specific Alu elements, which originated 65 million years ago, exist in over a million copies in the human genome. These elements have been involved in genome shuffling and various diseases not only through retrotransposition but also through large scale Alu-Alu mediated recombination. Only a few subfamilies of Alus are currently retropositionally active and show insertion/deletion polymorphisms with associated phenotypes. Retroposition occurs by means of RNA intermediates synthesised by a RNA polymerase III promoter residing in the A-Box and B-Box in these elements. Alus have also been shown to harbour a number of transcription factor binding sites, as well as hormone responsive elements. The distribution of Alus has been shown to be non-random in the human genome and these elements are increasingly being implicated in diverse functions such as transcription, translation, response to stress, nucleosome positioning and imprinting. RESULTS: We conducted a retrospective analysis of putative functional sites, such as the RNA pol III promoter elements, pol II regulatory elements like hormone responsive elements and ligand-activated receptor binding sites, in Alus of various evolutionary ages. We observe a progressive loss of the RNA pol III transcriptional potential with concomitant accumulation of RNA pol II regulatory sites. We also observe a significant over-representation of Alus harboring these sites in promoter regions of signaling and metabolism genes of chromosome 22, when compared to genes of information pathway components, structural and transport proteins. This difference is not so significant between functional categories in the intronic regions of the same genes. CONCLUSIONS: Our study clearly suggests that Alu elements, through retrotransposition, could distribute functional and regulatable promoter elements, which in the course of subsequent selection might be stabilized in the genome. Exaptation of regulatory elements in the preexisting genes through Alus could thus have contributed to evolution of novel regulatory networks in the primate genomes. With such a wide spectrum of regulatory sites present in Alus, it also becomes imperative to screen for variations in these sites in candidate genes, which are otherwise repeat-masked in studies pertaining to identification of predisposition markers.

Alu Elements↗

PubMed2004

CoPS: Comprehensive Peptide Signature database.

UNLABELLED: We present the development of a Comprehensive database of 12 076 invariant Peptide Signatures (CoPS) derived from 52 bacterial genomes with a minimum occurrence in at least seven organisms. These peptides were observed in functionally similar proteins and are distributed over nearly 1250 different functional proteins. The database provides function, structure and occurrence in biochemical pathways of the proteins containing these signature peptides. It houses additional information on the signature peptides, such as identical match in other motif/pattern (e.g. PROSITE, BLOCKS, PRINTS and Pfam) databases and the database of interacting proteins, human proteome and mutation effect on these signature peptides. There is a wide applicability of this database in the identification of critical functional residues in proteins. The database also facilitates the identification of folding nucleus/structural determinants in proteins and functional assignment to yet unknown proteins. We demonstrate functional assignment to 2605 hypothetical proteins in bacterial genomes and 112 unknown proteins in human using this database. AVAILABILITY: The database can be freely accessed through the following URL: http://203.195.151.46/copsv2/index.html or http://203.90.127.70/copsv2/index.html

Bacterial Proteins↗

PubMed2004

Recognition and analysis of protein-coding genes in severe acute respiratory syndrome associated coronavirus.

MOTIVATION: The recent outbreak of severe acute respiratory syndrome (SARS) caused by SARS coronavirus (SARS-CoV) has necessitated an in-depth molecular understanding of the virus to identify new drug targets. The availability of complete genome sequence of several strains of SARS virus provides the possibility of identification of protein-coding genes and defining their functions. Computational approach to identify protein-coding genes and their putative functions will help in designing experimental protocols. RESULTS: In this paper, a novel analysis of SARS genome using gene prediction method GeneDecipher developed in our laboratory has been presented. Each of the 18 newly sequenced SARS-CoV genomes has been analyzed using GeneDecipher. In addition to polyprotein 1ab(1), polyprotein 1a and the four genes coding for major structural proteins spike (S), small envelope (E), membrane (M) and nucleocapsid (N), six to eight additional proteins have been predicted depending upon the strain analyzed. Their lengths range between 61 and 274 amino acids. Our method also suggests that polyprotein 1ab, polyprotein 1a, S, M and N are proteins of viral origin and others are of prokaryotic. Putative functions of all predicted protein-coding genes have been suggested using conserved peptides present in their open reading frames. AVAILABILITY: Detailed results of GeneDecipher analysis of all the 18 strains of SARS-CoV genomes are available at http://www.igib.res.in/sarsanalysis.html

Algorithms↗

PubMed2004

Alu repeat analysis in the complete human genome: trends and variations with respect to genomic composition.

MOTIVATION: Transposon-derived Alu repeats are exclusively associated with primate genomes. They have gained considerable importance in the recent times with evidence of their involvement in various aspects of gene regulation, e.g. alternative splicing, nucleosome positioning, CpG methylation, binding sites for transcription factors and hormone receptors, etc. The objective of this study is to investigate the factors that influence the distribution of Alu repeat elements in the human genome. Such analysis is expected to yield insights into various aspects of gene regulation in primates. RESULTS: Analysis of Alu repeat distribution for the human genome build 32 (released in January 2003) reveals that they occupy nearly one-tenth portion of the sequenced regions. Huge variations in Alu frequencies were seen across the genome with chromosome 19 being the most and chromosome Y being the least Alu dense chromosomes. The highlights of the analysis are as follows: (1). three-fourth of the total genes in the genome are associated with Alus. (2). Alu density is higher in genes as compared with intergenic regions in all the chromosomes except 19 and 22. (3). Alu density in human genome is highly correlated with GC content, gene density and intron density with GC content being major deterministic factor compared with other two. (4). Alu densities were correlated more with gene density than intron density indicating the insertion of Alus in untranslated regions of exons.

Alu Elements↗

PubMed2004

A nonsense mutation in the synaptogyrin 1 gene in a family with schizophrenia.

BACKGROUND: Chromosome 22q is one of the important regions repeatedly being implicated in schizophrenia. In this region, our group previously reported an association of a CAG repeat marker (22CH3) with schizophrenia in the Indian population. Because Synaptogyrin 1 (SYNGR1), associated with presynaptic vesicles in neuronal cells, lies within 1 million base pairs of this marker, it is a potential candidate gene for schizophrenia. METHODS: We sequenced all six exons and flanking splice junctions of the SYNGR1 gene. We also carried out reverse transcriptase polymerase chain reaction and Northern blot analysis for exon 2 containing transcript of the SYNGR1 gene. RESULTS: We found a novel nonsense mutation (Trp27Ter) in exon 2 of the SYNGR1 gene in a family multiply affected with schizophrenia. Reverse transcriptase polymerase chain reaction and Northern blot analyses revealed that exon 2 containing transcript of this gene is expressed in the brain. CONCLUSIONS: Because the SYNGR1 gene is involved in presynaptic pathways, reduced levels of this protein might play some role in the pathogenesis of schizophrenia.

Blotting, Northern↗