Biomedical subjects

D GuhaThakurta

Publications and source records attributed to D GuhaThakurta.

4 recordsLinked to original sources

PubMed2004

An integrative genomics approach to the reconstruction of gene networks in segregating populations.

The reconstruction of genetic networks in mammalian systems is one of the primary goals in biological research, especially as such reconstructions relate to elucidating not only common, polygenic human diseases, but living systems more generally. Here we propose a novel gene network reconstruction algorithm, derived from classic Bayesian network methods, that utilizes naturally occurring genetic variations as a source of perturbations to elucidate the network. This algorithm incorporates relative transcript abundance and genotypic data from segregating populations by employing a generalized scoring function of maximum likelihood commonly used in Bayesian network reconstruction problems. The utility of this novel algorithm is demonstrated via application to liver gene expression data from a segregating mouse population. We demonstrate that the network derived from these data using our novel network reconstruction algorithm is able to capture causal associations between genes that result in increased predictive power, compared to more classically reconstructed networks derived from the same data.

11-beta-Hydroxysteroid Dehydrogenases↗

PubMed2001

Identifying target sites for cooperatively binding factors.

MOTIVATION: Transcriptional activation in eukaryotic organisms normally requires combinatorial interactions of multiple transcription factors. Though several methods exist for identification of individual protein binding site patterns in DNA sequences, there are few methods for discovery of binding site patterns for cooperatively acting factors. Here we present an algorithm, Co-Bind (for COperative BINDing), for discovering DNA target sites for cooperatively acting transcription factors. The method utilizes a Gibbs sampling strategy to model the cooperativity between two transcription factors and defines position weight matrices for the binding sites. Sequences from both the training set and the entire genome are taken into account, in order to discriminate against commonly occurring patterns in the genome, and produce patterns which are significant only in the training set. RESULTS: We have tested Co-Bind on semi-synthetic and real data sets to show it can efficiently identify DNA target site patterns for cooperatively binding transcription factors. In cases where binding site patterns are weak and cannot be identified by other available methods, Co-Bind, by virtue of modeling the cooperativity between factors, can identify those sites efficiently. Though developed to model protein-DNA interactions, the scope of Co-Bind may be extended to combinatorial, sequence specific, interactions in other macromolecules. AVAILABILITY: The program is available upon request from the authors or may be downloaded from http://ural.wustl.edu.

Algorithms↗

PubMed2000

Contributions of basic residues to ribosomal protein L11 recognition of RNA.

The C-terminal domain of ribosomal protein L11, L11-C76, binds in the distorted minor groove of a helix within a 58 nucleotide domain of 23 S rRNA. To study the electrostatic component of RNA recognition in this protein, arginine and lysine residues have been individually mutated to alanine or methionine residues at the nine sequence positions that are conserved as basic residues among bacterial L11 homologs. In measurements of the salt dependence of RNA-binding, five of these mutants have a reduced value of - partial differentiallog(K(obs))/ partial differentiallog[KCl] as compared to the parent L11-C76 sequence, indicating that these residues interact with the RNA electrostatic field. These five residues are located at the perimeter of the RNA-binding surface of the protein; all five of them form salt bridges with phosphates in the crystal structure of the complex. A sixth residue, Lys47, was found to make an electrostatic contribution to binding when measurements were made at pH 6.0, but not at pH 7.0; its pK in the free protein must be <6.5. The unusual behavior of Lys47 is explained by its burial in the hydrophobic core of the free protein, and unburial in the RNA-bound protein, where it forms a salt bridge with a phosphate. The contributions of these six residues to the electrostatic component of binding are not additive; thus the magnitude of the salt dependence cannot be used to count the number of ionic interactions in this complex. By interacting with irregular features of the RNA backbone, including an S-turn, these basic residues contribute to the specificity of L11 for its target site.

Amino Acid Sequence↗

PubMed1999

Protein-RNA sequence covariation in a ribosomal protein-rRNA complex.

Comparative sequence analysis has successfully predicted secondary structure and tertiary interactions in ribosomal and other RNAs. Experiments presented here ask whether the scope of comparative sequence-based predictions can be extended to specific interactions between proteins and RNA, using as a system the well-characterized C-terminal RNA binding domain of ribosomal protein L11 (L11-C76) and its 58 nucleotide binding region in 23S rRNA. The surface of L11-C76 alpha-helix 3 is known to contact RNA; position 69 in this helix is conserved as serine in most organisms but varies to asparagine (all plastids) or glutamine (Mycoplasma). RNA sequence substitutions unique to these groups of organisms occur at base pairs 1062/1076 or 1058/1080, respectively. The possibility that rRNA base pair substitutions compensate for variants in L11 alpha-helix 3 has been tested by measuring binding affinities between sets of protein and RNA sequence variants. Stability of the RNA tertiary structure, as measured by UV melting experiments, was unexpectedly affected by a 1062/1076 base pair substitution; additional mutations were required to restore a stably folded structure to this RNA. The results show that the asparagine variant of L11-C76 residue 69 has been compensated by substitution of a 1062/1076 base pair, and plausibly suggest a direct contact between the amino acid and base pair. For some of the protein and RNA mutations studied, changes in binding affinity probably reflect longer-range adjustments of the protein-RNA contact surface.

Amino Acid Sequence↗