Duplication of 7p12.1-p13, including GRB10 and IGFBP1, in a mother and daughter with features of Silver-Russell syndrome

Silver-Russell syndrome (SRS) has been associated with maternal uniparental disomy (UPD) of chromosome 7 in approximately 10% of cases, suggesting that at least one imprinted gene on chromosome 7 is involved in the pathogenesis of the disease. We report a proximal 7p interstitial inverted duplication in a mother and daughter both of whom have features of SRS, including marked short stature, low birth weight, facial asymmetry and 5th finger clinodactyly. Fluorescence in situ hybridisation (FISH) with YAC probes enabled delineation of the duplicated region to 7p12.1-p13. This region of proximal chromosome 7 is known to be homologous to an imprinted region in the mouse chromosome 11 and contains the growth-related genes GRB10 (growth factor receptor-bound protein 10), EGFR (epidermal growth factor receptor) and IGFBP1 (insulin-like growth factor binding protein 1), all of which have been suggested as candidate genes for SRS. Molecular analysis showed that the duplication in both mother and daughter spanned a distance of approximately 10 cM and included GRB10 and IGFBP1 but not EGFR. The de novo duplication in the proband's mother was shown to be of paternal origin. In order to test the hypothesis that sub-microscopic duplications of 7p, whether maternal or paternal in origin, are responsible for at least some cases of SRS, we screened a further eight patients referred to our laboratory for SRS. None were found to have duplications of either GRB10 or IGFBP1. The hypothesis that sub-microscopic duplications including GRB10 and IGFBP1 is a cause of SRS remains a possibility and warrants further investigation. Importantly, in contrast to current thinking, our results suggest that imprinted genes may not underlie the SRS phenotype, and we propose an alternative hypothesis to explain the occurrence of maternal UPD 7 seen in some cases of SRS.     

Common active site architecture and binding strategy of four phenylpropanoid P450s from Arabidopsis thaliana as revealed by molecular modeling

Despite extensive primary sequence diversity, crystal structures of several bacterial cytochrome P450 monooxygenases (P450s) and a single eukaryotic P450 indicate that these enzymes share a structural core of alpha-helices and beta-sheets and vary in the loop regions contacting individual substrates. To determine the extent to which individual structural features are conserved among divergent P450s existing in a single biosynthetic pathway, we have modeled the structures of four highly divergent P450s (CYP73A5, CYP84A1, CYP75B1, CYP98A3) in the Arabidopsis phenylpropanoid pathway synthesizing lignins, flavonoids and anthocyanins. Analysis of these models has indicated that, despite primary sequence identities as low as 13%, the structural cores and several loop regions of these P450s are highly conserved. Substrate docking indicated that all four enzymes employ a common strategy to identify their substrates in that their cinnamate-derived substrates align along helix I with their aromatic ring positioned towards the C-terminus of this helix and their aliphatic tails positioned towards the N-terminus. Further similarity was observed in the way the substrates contact the consensus P450 substrate recognition sites (SRS). Residues predicted to contact the aromatic ring region exist in SRS5, SRS6 and the C-terminal portion of SRS4 and residues contacting the distal end of each substrate exist in SRS1, SRS2 and the N-terminal portion of SRS4. Alignments of the regions contacting the aromatic ring region indicate that SRS4, SRS5 and SRS6 share higher degrees of sequence conservation than found in SRS1, SRS2 or the full-length protein.     

Using stochastic roadmap simulation to predict experimental quantities in protein folding kinetics: folding rates and phi-values.

This paper presents a new method for studying protein folding kinetics. It uses the recently introduced Stochastic Roadmap Simulation (SRS) method to estimate the transition state ensemble (TSE) and predict the rates and the Phi-values for protein folding. The new method was tested on 16 proteins, whose rates and Phi-values have been determined experimentally. Comparison with experimental data shows that our method estimates the TSE much more accurately than an existing method based on dynamic programming. This improvement leads to better folding-rate predictions. We also compute the mean first passage time of the unfolded states and show that the computed values correlate with experimentally determined folding rates. The results on Phi-value predictions are mixed, possibly due to the simple energy model used in the tests. This is the first time that results obtained from SRS have been compared against a substantial amount of experimental data. The results further validate the SRS method and indicate its potential as a general tool for studying protein folding kinetics.     

cDNA library screening using the SOS recruitment system

The SOS recruitment system (SRS), a recently developed method for detecting protein-protein interactions, provides an attractive alternative to identify biologically important protein interactions. In SRS, the protein-protein interactions take place in the cytoplasm instead of the nucleus, as is the case in the conventional two-hybrid system. Although the SRS has overcome some of the disadvantages of the conventional two-hybrid system, it still has several problems and limitations. Here, we describe a new protocol for SRS library screening. A new combination of growth media to avoid the tedious step of replica plating greatly increases the number of independent colonies in a single library screening. Furthermore, we designed a pair of ras-specific primers and a one-step simple PCR to rule out the most abundant false positive, the mammalian ras cDNA, in SRS library screening.     

Using robotics to fold proteins and dock ligands

The problems of protein folding and ligand docking have been explored largely using molecular dynamics or Monte Carlo methods. These methods are very compute intensive because they often explore a much wider range of energies, conformations and time than necessary. In addition, Monte Carlo methods often get trapped in local minima. We initially showed that robotic motion planning permitted one to determine the energy of binding and dissociation of ligands from protein binding sites (Singh et al., 1999). The robotic motion planning method maps complicated three-dimensional conformational states into a much simpler, but higher dimensional space in which conformational rearrangements can be represented as linear paths. The dimensionality of the conformation space is of the same order as the number of degrees of conformational freedom in three-dimensional space. We were able to determine the relative energy of association and dissociation of a ligand to a protein by calculating the energetics of interaction for a few thousand conformational states in the vicinity of the protein and choosing the best path from the roadmap. More recently, we have applied roadmap planning to the problem of protein folding (Apaydin et al., 2002a). We represented multiple conformations of a protein as nodes in a compact graph with the edges representing the probability of moving between neighboring states. Instead of using Monte Carlo simulation to simulate thousands of possible paths through various conformational states, we were able to use Markov methods to calculate the steady state occupancy of each conformation, needing to calculate the energy of each conformation only once. We referred to this Markov method of representing multiple conformations and transitions as stochastic roadmap simulation or SRS. We demonstrated that the distribution of conformational states calculated with exhaustive Monte Carlo simulations asymptotically approached the Markov steady state if the same Boltzman energy distribution was used in both methods. SRS permits one to calculate contributions from all possible paths simultaneously with far fewer energy calculations than Monte Carlo or molecular dynamics methods. The SRS method also permits one to represent multiple unfolded starting states and multiple, near-native, folded states and all possible paths between them simultaneously. The SRS method is also independent of the function used to calculate the energy of the various conformational states. In a paper to be presented at this conference (Apaydin et al., 2002b) we have also applied SRS to ligand docking in which we calculate the dynamics of ligand-protein association and dissociation in the region of various binding sites on a number of proteins. SRS permits us to determine the relative times of association to and dissociation from various catalytic and non-catalytic binding sites on protein surfaces. Instead of just following the best path in a roadmap, we can calculate the contribution of all the possible binding or dissociation paths and their relative probabilities and energies simultaneously.     

Inoculation of Ni-resistant plant growth promoting bacterium Psychrobacter sp. strain SRS8 for the improvement of nickel phytoextraction by energy crops

This study was conducted to elucidate effects of inoculating plant growth-promoting bacterium Psychrobacter sp. SRS8 on the growth and phytoextraction potential of energy crops Ricinus communis and Helianthus annuus in artificially Ni contaminated soils. The toxicity symptom in plants under Ni stress expressed as chlorophyll, protein content, growth inhibition, and Fe, P concentrations were studied, and the possible relationship among them were also discussed. The PGPB SRS8 was found capable of stimulating plant growth and Ni accumulation in both plant species. Further, the stimulation effect on plant biomass, chlorophyll, and protein content was concomitant with increased Fe and P assimilation from soil to plants. Further, the induction of catalase and peroxidase activities was also involved in the ability of SRS8 to increase the tolerance in both plant species under Ni stress. The findings suggest that strain SRS8 play an important role in promoting the growth and phytoextraction efficiency of R. communis and H. annuus, which may be used for remediation of metal contaminated sites.     

Survival in Nuclear Waste,Extreme Resistance,and Potential Applications Gleaned from the Genome Sequence of Kineococcus radiotolerans SRS30216

Kineococcus radiotolerans {"type":"entrez-protein","attrs":{"text":"SRS30216","term_id":"1414251709","term_text":"SRS30216"}}SRS30216 was isolated from a high-level radioactive environment at the Savannah River Site (SRS) and exhibits γ-radiation resistance approaching that of Deinococcus radiodurans. The genome was sequenced by the U.S. Department of Energy''s Joint Genome Institute which suggested the existence of three replicons, a 4.76 Mb linear chromosome, a 0.18 Mb linear plasmid, and a 12.92 Kb circular plasmid. Southern hybridization confirmed that the chromosome is linear. The K. radiotolerans genome sequence was examined to learn about the physiology of the organism with regard to ionizing radiation resistance, the potential for bioremediation of nuclear waste, and the dimorphic life cycle. K. radiotolerans may have a unique genetic toolbox for radiation protection as it lacks many of the genes known to confer radiation resistance in D. radiodurans. Additionally, genes involved in the detoxification of reactive oxygen species and the excision repair pathway are overrepresented. K. radiotolerans appears to lack degradation pathways for pervasive soil and groundwater pollutants. However, it can respire on two organic acids found in SRS high-level nuclear waste, formate and oxalate, which promote the survival of cells during prolonged periods of starvation. The dimorphic life cycle involves the production of motile zoospores. The flagellar biosynthesis genes are located on a motility island, though its regulation could not be fully discerned. These results highlight the remarkable ability of K radiotolerans to withstand environmental extremes and suggest that in situ bioremediation of organic complexants from high level radioactive waste may be feasible.     

Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.

Classic molecular motion simulation techniques, such as Monte Carlo (MC) simulation, generate motion pathways one at a time and spend most of their time in the local minima of the energy landscape defined over a molecular conformation space. Their high computational cost prevents them from being used to compute ensemble properties (properties requiring the analysis of many pathways). This paper introduces stochastic roadmap simulation (SRS) as a new computational approach for exploring the kinetics of molecular motion by simultaneously examining multiple pathways. These pathways are compactly encoded in a graph, which is constructed by sampling a molecular conformation space at random. This computation, which does not trace any particular pathway explicitly, circumvents the local-minima problem. Each edge in the graph represents a potential transition of the molecule and is associated with a probability indicating the likelihood of this transition. By viewing the graph as a Markov chain, ensemble properties can be efficiently computed over the entire molecular energy landscape. Furthermore, SRS converges to the same distribution as MC simulation. SRS is applied to two biological problems: computing the probability of folding, an important order parameter that measures the "kinetic distance" of a protein's conformation from its native state; and estimating the expected time to escape from a ligand-protein binding site. Comparison with MC simulations on protein folding shows that SRS produces arguably more accurate results, while reducing computation time by several orders of magnitude. Computational studies on ligand-protein binding also demonstrate SRS as a promising approach to study ligand-protein interactions.     

Genetic labelling and application of the isoproturon-mineralizing Sphingomonas sp. strain SRS2 in soil and rhizosphere

AIMS: To construct a luxAB-labelled Sphingomonas sp. strain SRS2 maintaining the ability to mineralize the herbicide isoproturon and usable for monitoring the survival and distribution of strain SRS2 on plant roots in laboratory systems. METHODS AND RESULTS: We inserted the mini-Tn5-luxAB marker into strain SRS2 using conjugational mating. In the transconjugant mutants luciferase was produced in varying levels. The mutants showed significant differences in their ability to degrade isoproturon. One luxAB-labelled mutant maintained the ability to mineralize isoproturon and was therefore selected for monitoring colonization of barley roots. CONCLUSIONS: We successfully constructed a genetically labelled isoproturon-mineralizing-strain SRS2 and demonstrated its ability to survive in soil and its colonization of rhizosphere. SIGNIFICANCE AND IMPACT OF THE STUDY: The construction of a luxAB-labelled strain SRS2 maintaining the degradative ability, provides a powerful tool for ecological studies serving as the basis for evaluating SRS2 as a bioremediation agent.     

Screening for mutations in the promoter and the coding region of the IGFBP1 and IGFBP3 genes in Silver-Russell syndrome patients.

In the present study we sought to identify genetic variation in genes for insulin-like growth factor binding proteins 1 and 3 (IGFBP1, IGFBP3) in 7p12-13 which through alteration of protein function or level of expression might contribute to the manifestation of Silver-Russell syndrome. Genomic DNA samples from 49 Silver-Russell syndrome (SRS) patients and from unaffected controls were investigated by single-strand conformation analysis. Overlapping polymerase chain reaction fragments covered the whole coding sequences as well as the 5' untranslated region of the IGFBP1 and IGFBP3 genes. We detected 3 new polymorphisms in the transcribed sequence of IGFBP1, one amino acid polymorphism in exon 1 of IGFBP3 and four variants in its promotor region and in intron 1. They all occurred in similar frequencies in SRS patients and in controls. Thus, paternally inherited mutations in the promoter and coding regions of IGFBP1 and IGFBP3 genes play neither a major nor a minor role in the etiology of SRS. The newly detected polymorphisms in the coding region are powerful tools for analysis of imprinting status and for detection of possible changes in the imprinting patterns of the two genes.     

Duplication of 7p11.2-p13, including GRB10, in Silver-Russell syndrome

Silver-Russell syndrome (SRS) is characterized by pre- and postnatal growth failure and other dysmorphic features. The syndrome is genetically heterogeneous, but maternal uniparental disomy of chromosome 7 has been demonstrated in approximately 7% of cases. This suggests that at least one gene on chromosome 7 is imprinted and involved in the pathogenesis of SRS. We have identified a de novo duplication of 7p11.2-p13 in a proband with features characteristic of SRS. FISH confirmed the presence of a tandem duplication encompassing the genes for growth factor receptor-binding protein 10 (GRB10) and insulin-like growth factor-binding proteins 1 and 3 (IGFBP1 and -3) but not that for epidermal growth factor-receptor (EGFR). Microsatellite markers showed that the duplication was of maternal origin. These findings provide the first evidence that SRS may result from overexpression of a maternally expressed imprinted gene, rather than from absent expression of a paternally expressed gene. GRB10 lies within the duplicated region and is a strong candidate, since it is a known growth suppressor. Furthermore, the mouse homologue (Grb10/Meg1) is reported to be maternally expressed and maps to the imprinted region of proximal mouse chromosome 11 that demonstrates prenatal growth failure when it is maternally disomic. We have demonstrated that the GRB10 genomic interval replicates asynchronously in human lymphocytes, suggestive of imprinting. An additional 36 SRS probands were investigated for duplication of GRB10, but none were found. However, it remains possible that GRB10 and/or other genes within 7p11.2-p13 are responsible for some cases of SRS.     

The SMALL AND ROUND SEED1 (SRS1/DEP2) gene is involved in the regulation of seed size in rice

The causal gene of a novel small and round seed mutant 1 (srs1) was identified in rice by map-based cloning and named SMALL AND ROUND SEED 1 (SRS1). The SRS1 gene is identical to the previously identified DENSE AND ERECT PANICLE 2 (DEP2). The SRS1/DEP2 gene encodes a novel protein of 1365 amino acids residues without known functional domains. In the longitudinal direction of the lemma, both cell length and cell number are reduced in srs1-1 compared to the wild type, whereas in the lateral cross section of the lemma, cell length in srs1-1 is greater than that in the wild type, but the cell number in srs1-1 is the same as that in wild type. These results suggest that the small and round seed phenotype of srs1-1 is due to the reduction in both cell length and cell number in the longitudinal direction, and the elongation of the cells in the lateral direction of the lemma. The SRS1 mRNA and proteins are abundant in wild type rice specifically in young organs, namely young leaves, internodes and panicles. Interestingly, the tissues expressing SRS1 are closely related to the tissues that exhibit abnormalities in the srs1 mutants.     

Molecular docking of substrates and inhibitors in the catalytic site of CYP6B1, an insect cytochrome p450 monooxygenase

Furanocoumarins represent plant toxins that are used in the treatment of a variety of skin diseases and are metabolized by cytochrome p450 monooxygenases (p450s) existing in insects such as Papilio polyxenes (the black swallowtail). To elucidate the active site in the CYP6B1 protein that is the principal p450 existing in this species, we have constructed a homology model of it based on sequence and structure alignments with the bacterial CYP102 protein whose crystal structure has been defined and with the insect CYP6B4 protein that also metabolizes furanocoumarins. In the derived CYP6B1 model, Phe116 and His117 in SRS1, Phe371 in SRS5 and Phe484 in SRS6 contribute to the formation of a resonant network that stabilizes the p450's catalytic site and allows for interactions with its furanocoumarin substrates. The first two of these residues are absolutely conserved in all members of the insect CYP6B subfamily and the last two are variable in different members of the CYP6B subfamily. A combination of theoretical and experimental docking analyses of two substrates (xanthotoxin and bergapten) and two inhibitors (coumarin and pilocarpine) of this p450 provide significant information on the positioning of furanocoumarins within this catalytic pocket. Molecular replacement models based on the results of variations at two of these critical amino acids provide support for our furanocoumarin-docked model and begin to rationalize the altered substrate reactivities observed in experimental analyses.     

Models and detection of spontaneous recurrent seizures in laboratory rodents

Epilepsy,characterized by spontaneous recurrent seizures (SRS),is a serious and common neurological disorder afflicting an estimated 1％ of the population worldwide.Animal experiments,especially those utilizing small laboratory rodents,remain essential to understanding the fundamental mechanisms underlying epilepsy and to prevent,diagnose,and treat this disease.While much attention has been focused on epileptogenesis in animal models of epilepsy,there is little discussion on SRS,the hallmark of epilepsy.This is in part due to the technical difficulties of rigorous SRS detection.In this review,we comprehensively summarize both genetic and acquired models of SRS and discuss the methodology used to monitor and detect SRS in mice and rats.     

Stochastic roadmap simulation for the study of ligand-protein interactions

Understanding the dynamics of ligand-protein interactions is indispensable in the design of novel therapeutic agents. In this paper, we establish the use of Stochastic Roadmap Simulation (SRS) for the study of ligand-protein interactions through two studies. In our first study, we measure the effects of mutations on the catalytic site of a protein, a process called computational mutagenesis. In our second study, we focus on distinguishing the catalytic site from other putative binding sites. SRS compactly represents many Monte Carlo (MC) simulation paths in a compact graph structure, or roadmap. Furthermore, SRS allows us to analyze all the paths in this roadmap simultaneously. In our application of SRS to the domain of ligand-protein interactions, we consider a new parameter called escape time, the expected number of MC simulation steps required for the ligand to escape from the 'funnel of attraction' of the binding site, as a metric for analyzing such interactions. Although computing escape times would probably be infeasible with MC simulation, these computations can be performed very efficiently with SRS. Our results for six mutant complexes for the first study and seven ligand-protein complexes for the second study, are very promising: In particular, the first results agree well with the biological interpretation of the mutations, while the second results show that escape time is a good metric to distinguish the catalytic site for five out of seven complexes.     

No Evidence for Mutations of CTCFL/BORIS in Silver-Russell Syndrome Patients with IGF2/H19 Imprinting Control Region 1 Hypomethylation

Background

Silver-Russell syndrome (SRS) is a genetically and clinically heterogeneous disease. Although no protein coding gene defects have been reported in SRS patients, approximately 50% of SRS patients carry epimutations (hypomethylation) at the IGF2/H19 imprinting control region 1 (ICR1). Proper methylation at ICR1 is crucial for the imprinted expression of IGF2, a fetal growth factor. CTCFL, a testis-specific protein, has recently been proposed to play a role in the establishment of DNA methylation at the murine equivalent of ICR1. A screen was undertaken to assess whether CTCFL is mutated in SRS patients with hypomethylation, to explore a link between the observed epimutations and a genetic cause of the disease.

Methodology/Principal Findings

DNA was obtained from 36 SRS patients with hypomethylation at ICR1. All CTCFL coding exons were sequenced and analyzed for duplications/deletions using both multiplex ligation-dependent probe amplification, with a custom CTCFL probe set, and genomic qPCR. Novel SNP alleles were analyzed for potential differential splicing in vitro utilizing a splicing assay. Neither mutations of CTCFL nor duplications/deletions were observed. Five novel SNPs were identified and have been submitted to dbSNP. In silico splice prediction suggested one novel SNP, IVS2-66A>C, activated a cryptic splice site, resulting in aberrant splicing and premature termination. In vitro splicing assays did not confirm predicted aberrant splicing.

Conclusions/Significance

As no mutations were detected at CTCFL in the patients examined, we conclude that genetic alterations of CTCFL are not responsible for the SRS hypomethylation. We suggest that analysis of other genes involved in the establishment of DNA methylation at imprinted genes, such as DNMT3A and DNMT3L, may provide insight into the genetic cause of hypomethylation in SRS patients.     

Improved efficiency sos recruitment system: expression of the mammalian GAP reduces isolation of Ras GTPase false positives.

The Sos recruitment system (SRS) is a novel genetic method for detecting protein-protein interactions. The method is based on localizing Sos, a Ras guanyl nucleotide exchange factor (GEF), to the plasma membrane through interaction between two fusion proteins. Mammalian Ras can bypass the requirement for a functional Ras GEF and represents a predictable false positive in this system. This report demonstrates that introduction of mammalian GTPase activating protein (mGAP) reduces the isolation of Ras false positives in SRS screens of mammalian cDNA libraries, thereby significantly enhancing the efficiency of the system.     

Slow reacting substance (SRS) from ionophore A23187-stimulated human leukemic basophils. I. Evidence for a precursor role of arachidonic acid and initial purification.

SRS was generated from human leukemic basophils upon stimulation with ionophore A23187. Radiolabel from [14C]-AA was incorporated into SRS with continued comigration of radioactivity and bioactivity through several chromatographic systems including DEAE-cellulose, silicic acid, and RP-HPLC. Human basophilic leukemia SRS displayed physiochemical properties similar to those of rat basophilic leukemia cell SRS.