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Biomedical subjects

S Raychaudhuri

Publications and source records attributed to S Raychaudhuri.

At least 19 recordsLinked to original sources

Roughness scaling in cyclical surface growth.

The scaling behavior of cyclical growth (e.g., cycles of alternating deposition and desorption primary processes) is investigated theoretically and probed experimentally. The scaling approach to kinetic roughening is generalized to cyclical processes by substituting the number of cycles n for the time. The roughness is predicted to grow as n(beta) where beta is the cyclical growth exponent. The roughness saturates to a value that scales with the system size L as L(alpha), where alpha is the cyclical roughness exponent. The relations between the cyclical exponents and the corresponding exponents of the primary processes are studied. Exact relations are found for cycles composed of primary linear processes. An approximate renormalization group approach is introduced to analyze nonlinear effects in the primary processes. The analytical results are backed by extensive numerical simulations of different pairs of primary processes, both linear and nonlinear. Experimentally, silver surfaces are grown by a cyclical process composed of electrodeposition followed by 50% electrodissolution. The roughness is found to increase as a power law of n, consistent with the scaling behavior anticipated theoretically. Potential applications of cyclical scaling include accelerated testing of rechargeable batteries and improved chemotherapeutic treatment of cancerous tumors.

Journal Article↗

Maximal height scaling of kinetically growing surfaces.

The scaling properties of the maximal height of a growing self-affine surface with a lateral extent L are considered. In the late-time regime its value measured relative to the evolving average height scales like the roughness: h*(L) approximately L alpha. For large values its distribution obeys logP(h*(L)) approximately (-)A(h*(L)/L(alpha))(a). In the early-time regime where the roughness grows as t(beta), we find h*(L) approximately t(beta)[lnL-(beta/alpha)lnt+C](1/b), where either b = a or b is the corresponding exponent of the velocity distribution. These properties are derived from scaling and extreme-value arguments. They are corroborated by numerical simulations and supported by exact results for surfaces in 1D with the asymptotic behavior of a Brownian path.

Bacteria↗

Basic microarray analysis: grouping and feature reduction.

DNA microarray technologies are useful for addressing a broad range of biological problems - including the measurement of mRNA expression levels in target cells. These studies typically produce large data sets that contain measurements on thousands of genes under hundreds of conditions. There is a critical need to summarize this data and to pick out the important details. The most common activities, therefore, are to group together microarray data and to reduce the number of features. Both of these activities can be done using only the raw microarray data (unsupervised methods) or using external information that provides labels for the microarray data (supervised methods). We briefly review supervised and unsupervised methods for grouping and reducing data in the context of a publicly available suite of tools called CLEAVER, and illustrate their application on a representative data set collected to study lymphoma.

Algorithms↗

Whole-genome expression analysis: challenges beyond clustering.

Measuring the expression of most or all of the genes in a biological system raises major analytic challenges. A wealth of recent reports uses microarray expression data to examine diverse biological phenomena - from basic processes in model organisms to complex aspects of human disease. After an initial flurry of methods for clustering the data on the basis of similarity, the field has recognized some longer-term challenges. Firstly, there are efforts to understand the sources of noise and variation in microarray experiments in order to increase the biological signal. Secondly, there are efforts to combine expression data with other sources of information to improve the range and quality of conclusions that can be drawn. Finally, techniques are now emerging to reconstruct networks of genetic interactions in order to create integrated and systematic models of biological systems.

Gene Expression Profiling↗

A second function for pseudouridine synthases: A point mutant of RluD unable to form pseudouridines 1911, 1915, and 1917 in Escherichia coli 23S ribosomal RNA restores normal growth to an RluD-minus strain.

This laboratory previously showed that truncation of the gene for RluD, the Escherichia coli pseudouridine synthase responsible for synthesis of 23S rRNA pseudouridines 1911, 1915, and 1917, blocks pseudouridine formation and inhibits growth. We now show that RluD mutants at the essential aspartate 139 allow these two functions of RluD to be separated. In vitro, RluD with aspartate 139 replaced by threonine or asparagine is completely inactive. In vivo, the growth defect could be completely restored by transformation of an RluD-inactive strain with plasmids carrying genes for RluD with aspartate 139 replaced by threonine or asparagine. Pseudouridine sequencing of the 23S rRNA from these transformed strains demonstrated the lack of these pseudouridines. Pseudoreversion, which has previously been shown to restore growth without pseudouridine formation by mutation at a distant position on the chromosome, was not responsible because transformation with empty vector under identical conditions did not alter the growth rate.

Base Sequence↗

Including biological literature improves homology search.

Annotating the tremendous amount of sequence information being generated requires accurate automated methods for recognizing homology. Although sequence similarity is only one of many indicators of evolutionary homology, it is often the only one used. Here we find that supplementing sequence similarity with information from biomedical literature is successful in increasing the accuracy of homology search results. We modified the PSI-BLAST algorithm to use literature similarity in each iteration of its database search. The modified algorithm is evaluated and compared to standard PSI-BLAST in searching for homologous proteins. The performance of the modified algorithm achieved 32% recall with 95% precision, while the original one achieved 33% recall with 84% precision; the literature similarity requirement preserved the sensitive characteristic of the PSI-BLAST algorithm while improving the precision.

Algorithms↗

Excitonic funneling in extended dendrimers with nonlinear and random potentials

The mean first passage time (MFPT) for photoexcitations diffusion in a funneling potential of artificial treelike light-harvesting antennas (phenylacetylene dendrimers with generation-dependent segment lengths) is computed. Effects of the nonlinearity of the realistic funneling potential and slow random solvent fluctuations considerably slow down the center-bound diffusion beyond a temperature-dependent optimal size. Diffusion on a disordered Cayley tree with a linear potential is investigated analytically. At low temperatures we predict a phase in which the MFPT is dominated by a few paths.

Journal Article↗

Scaling behavior of cyclical surface growth

The scaling behavior of cyclical surface growth (e.g., deposition/desorption), with the number of cycles, n, is investigated. The roughness of surfaces grown by two linear primary processes follows a scaling behavior with asymptotic exponents inherited from the dominant process while the effective amplitudes are determined by both. Relevant nonlinear effects in the primary processes may remain so or be rendered irrelevant. Numerical simulations for several pairs of generic primary processes confirm these conclusions. Experimental results for the surface roughness during cyclical electrodeposition/dissolution of silver show a power-law dependence on n, consistent with the scaling description.

Journal Article↗

Principal components analysis to summarize microarray experiments: application to sporulation time series.

A series of microarray experiments produces observations of differential expression for thousands of genes across multiple conditions. It is often not clear whether a set of experiments are measuring fundamentally different gene expression states or are measuring similar states created through different mechanisms. It is useful, therefore, to define a core set of independent features for the expression states that allow them to be compared directly. Principal components analysis (PCA) is a statistical technique for determining the key variables in a multidimensional data set that explain the differences in the observations, and can be used to simplify the analysis and visualization of multidimensional data sets. We show that application of PCA to expression data (where the experimental conditions are the variables, and the gene expression measurements are the observations) allows us to summarize the ways in which gene responses vary under different conditions. Examination of the components also provides insight into the underlying factors that are measured in the experiments. We applied PCA to the publicly released yeast sporulation data set (Chu et al. 1998). In that work, 7 different measurements of gene expression were made over time. PCA on the time-points suggests that much of the observed variability in the experiment can be summarized in just 2 components--i.e. 2 variables capture most of the information. These components appear to represent (1) overall induction level and (2) change in induction level over time. We also examined the clusters proposed in the original paper, and show how they are manifested in principal component space. Our results are available on the internet at http:¿www.smi.stanford.edu/project/helix/PCArray .

Computer Simulation↗

Pattern recognition of genomic features with microarrays: site typing of Mycobacterium tuberculosis strains.

Mycobacterium tuberculosis (M. tb.) strains differ in the number and locations of a transposon-like insertion sequence known as IS6110. Accurate detection of this sequence can be used as a fingerprint for individual strains, but can be difficult because of noisy data. In this paper, we propose a non-parametric discriminant analysis method for predicting the locations of the IS6110 sequence from microarray data. Polymerase chain reaction extension products generated from primers specific for the insertion sequence are hybridized to a microarray containing targets corresponding to each open reading frame in M. tb. To test for insertion sites, we use microarray intensity values extracted from small windows of contiguous open reading frames. Rank-transformation of spot intensities and first-order differences in local windows provide enough information to reliably determine the presence of an insertion sequence. The nonparametric approach outperforms all other methods tested in this study.

Genome, Bacterial↗

Identification and reconstitution of the origin recognition complex from Schizosaccharomyces pombe.

The origin recognition complex (ORC), first identified in Saccharomyces cerevisiae (sc), is a six-subunit protein complex that binds to DNA origins. Here, we report the identification and cloning of cDNAs encoding the six subunits of the ORC of Schizosaccharomyces pombe (sp). Sequence analyses revealed that spOrc1, 2, and 5 subunits are highly conserved compared with their counterparts from S. cerevisiae, Xenopus, Drosophila, and human. In contrast, both spOrc3 and spOrc6 subunits are poorly conserved. As reported by Chuang and Kelly [(1999) Proc. Natl. Acad. Sci. USA 96, 2656-2661], the C-terminal region of spOrc4 is also conserved whereas the N terminus uniquely contains repeats of a sequence that binds strongly to AT-rich DNA regions. Consistent with this, extraction of S. pombe chromatin with 1 M NaCl, or after DNase I treatment, yielded the six-subunit ORC, whereas extraction with 0.3 M resulted in five-subunit ORC lacking spOrc4p. The spORC can be reconstituted in vitro with all six recombinant subunits expressed in the rabbit reticulocyte system. The association of spOrc4p with the other subunits required the removal of DNA from reaction mixture by DNase I. This suggests that a strong interaction between spOrc4p and DNA can prevent the isolation of the six-subunit ORC. The unique DNA-binding properties of the spORC may contribute to our understanding of the sequence-specific recognition required for the initiation of DNA replication in S. pombe.

Amino Acid Sequence↗

Functional effect of deletion and mutation of the Escherichia coli ribosomal RNA and tRNA pseudouridine synthase RluA.

The Escherichia coli gene rluA, coding for the pseudouridine synthase RluA that forms 23 S rRNA pseudouridine 746 and tRNA pseudouridine 32, was deleted in strains MG1655 and BL21/DE3. The rluA deletion mutant failed to form either 23 S RNA pseudouridine 746 or tRNA pseudouridine 32. Replacement of rluA in trans on a rescue plasmid restored both pseudouridines. Therefore, RluA is the sole protein responsible for the in vivo formation of 23 S RNA pseudouridine 746 and tRNA pseudouridine 32. Plasmid rescue of both rluA- strains using an rluA gene carrying asparagine or threonine replacements for the highly conserved aspartate 64 demonstrated that neither mutant could form 23 S RNA pseudouridine 746 or tRNA pseudouridine 32 in vivo, showing that this conserved aspartate is essential for enzyme-catalyzed formation of both pseudouridines. In vitro assays using overexpressed wild-type and mutant synthases confirmed that only the wild-type protein was active despite the overexpression of wild-type and mutant synthases in approximately equal amounts. There was no difference in exponential growth rate between wild-type and MG1655(rluA-) either in rich or minimal medium at 24, 37, or 42 degrees C, but when both strains were grown together, a strong selection against the deletion strain was observed.

Electrophoresis, Polyacrylamide Gel↗

A pseudouridine synthase required for the formation of two universally conserved pseudouridines in ribosomal RNA is essential for normal growth of Escherichia coli.

Escherichia coli rRNA contains 10 pseudouridines of unknown function. They are made by synthases, each of which is specific for one or more pseudouridines. Here we show that the sfhB (yfil) ORF of E. coli is a pseudouridine synthase gene by cloning, protein overexpression, and reaction in vitro with rRNA transcripts. Gene disruption by miniTn10(cam) insertion revealed that this synthase gene, here renamed rluD, codes for a synthase which is solely responsible in vivo for synthesis of the three pseudouridines clustered in a stem-loop at positions 1911, 1915, and 1917 of 23S RNA. The absence of RluD results in severe growth inhibition. Both the absence of pseudouridine and the growth defect could be reversed by insertion of a plasmid carrying the rluD gene into the mutant cell, clearly linking both effects to the absence of RIuD. This is the first report of a major physiological defect due to the deletion of any pseudouridine synthase. Growth inhibition may be due to the lack of one or more of the 23S RNA pseudouridines made by this synthase since pseudouridines 1915 and 1917 are universally conserved and are located in proximity to the decoding center of the ribosome where they could be involved in modulating codon recognition.

Amino Acid Sequence↗

Fully mobilizing host defense: building better vaccines.

Developments in methods for identifying antigens from infectious agents and cancers has provided exciting new opportunities in prevention and treatment through vaccination. In many of these situations, however, traditional immunization techniques do not stimulate protective immunity because they fail to fully mobilize the appropriate immune responses. This limitation, together with new insights into the underlying mechanism of immune responses, has spurred development of several new approaches for vaccine delivery. We discuss some of the current efforts being developed to provide effective vaccine delivery systems.

Adjuvants, Immunologic↗

Functional analysis of a replication origin from Saccharomyces cerevisiae: identification of a new replication enhancer.

Yeast replication origins have a modular arrangement of essential DNA sequences containing the ARS consensus sequence (ACS) flanked by auxiliary DNA elements which stimulate origin function. One of the auxiliary elements identified at several origins is a DNA replication enhancer that binds the Abf1p protein. We have isolated an ARS sequence from Saccharomyces cerevisiae based on its ability to bind Abf1p. Here we present a detailed molecular dissection of this ARS, designated ARS 1501, and we demonstrate that it functions as a genomic replication origin on chromosome XV . Mutagenesis of the Abf1p DNA-binding sites revealed that these sequences did not contribute significantly to ARS function. Instead, a new DNA element important for replication, designated REN1501, has been located 5' to the T-rich strand of the ACS. We show that REN1501 functions in either orientation and at variable distances from the ACS, defining this element as a DNA replication enhancer. Most significantly, point mutations within this element decreased the stability of plasmids bearing ARS 1501, suggesting that REN1501 binds a protein important for replication initiation. Only three elements found at origins are known to specifically bind proteins. These include the ARS essential sequences and the Abf1p and Rap1p DNA-binding sites. We show that the function of REN1501 at the origin cannot be replaced by a Rap1p DNA-binding site or a site that binds the transcriptional factor Gal4p and can only be partially substituted for by an Abf1p recognition sequence. This implies that the role of the REN1501 element at the ARS 1501 origin is specific, and suggest that the frequency of origin firing in eukaryotic cells may be regulated by origin-specific enhancers.

Base Sequence↗

An Abf1p C-terminal region lacking transcriptional activation potential stimulates a yeast origin of replication.

Although it has been demonstrated that eukaryotic cellular origins of DNA replication may harbor stimulatory elements that bind transcription factors, how these factors stimulate origin function is unknown. In Saccharomyces cerevisiae , the transcription factor Abf1p stimulates origin function of ARS121 and ARS1 . In the results presented here, an analysis of Abf1p function has been carried out utilizing LexA(BD)-Abf1p fusion proteins and an ARS 121 derivative harboring LexA DNA-binding sites. A minimal region which stimulates origin function mapped to 50 amino acids within the C-terminus of Abf1p. When tested for transcriptional activation of a LacZ reporter gene, the same LexA(BD)-Abf1p fusion protein had negligible transcriptional activation potential. Therefore, stimulation of ARS 121 may occur independently of a transcriptional activation domain. It has been previously observed that the Gal4p, Rap1p DNA-binding sites and the LexA-Gal4p fusion protein can replace the role of Abf1p in stimulating ARS 1 . Here we show that the stimulatory function of Abf1p at ARS 121 cannot be replaced by these alternative DNA-binding sites and the potent chimeric transcriptional activator LexA(BD)-Gal4(AD)p . Hence, these results strongly suggest that the Abf1p stimulation of replication may differ for ARS 121 and ARS 1 , and imply specificity in the Abf1p/ARS 121 relationship.

Bacterial Proteins↗

Backbone makes a significant contribution to the electrostatics of alpha/beta-barrel proteins.

The electrostatic properties of seven alpha/beta-barrel enzymes selected from different evolutionary families were studied: triose phosphate isomerase, fructose-1,6-bisphosphate aldolase, pyruvate kinase, mandelate racemase, trimethylamine dehydrogenase, glycolate oxidase, and narbonin, a protein without any known enzymatic activity. The backbone of the alpha/beta-barrel has a distinct electrostatic field pattern, which is dipolar along the barrel axis. When the side chains are included in the calculations the general effect is to modulate the electrostatic pattern so that the electrostatic field is generally enhanced and is focused into a specific area near the active site. We use the electrostatic flux through a square surface near the active site to gauge the functionally relevant magnitude of the electrostatic field. The calculations reveal that in six out of the seven cases the backbone itself contributes greater than 45% of the total flux. The substantial electrostatic contribution of the backbone correlates with the known preference of alpha/beta-barrel enzymes for negatively charged substrates.

Alcohol Oxidoreductases↗

Stabilized bubbles in the body: pressure-radius relationships and the limits to stabilization.

We previously outlined the fundamental principles that govern behavior of stabilized bubbles, such as the microbubbles being put forward as ultrasound contrast agents. Our present goals are to develop the idea that there are limits to the stabilization and to provide a conceptual framework for comparison of bubbles stabilized by different mechanisms. Gases diffuse in or out of stabilized bubbles in a limited and reversible manner in response to changes in the environment, but strong growth influences will cause the bubbles to cross a threshold into uncontrolled growth. Also, bubbles stabilized by mechanical structures will be destroyed if outside influences bring them below a critical small size. The in vivo behavior of different kinds of stabilized bubbles can be compared by using plots of bubble radius as a function of forces that affect diffusion of gases in or out of the bubble. The two ends of the plot are the limits for unstabilized growth and destruction; these and the curve's slope predict the bubble's practical usefulness for ultrasonic imaging or O2 carriage to tissues.

Excipients↗