Circles

Molecular and Cellular Biochemistry -     

Motifs in brain networks

Complex brains have evolved a highly efficient network architecture whose structural connectivity is capable of generating a large repertoire of functional states. We detect characteristic network building blocks (structural and functional motifs) in neuroanatomical data sets and identify a small set of structural motifs that occur in significantly increased numbers. Our analysis suggests the hypothesis that brain networks maximize both the number and the diversity of functional motifs, while the repertoire of structural motifs remains small. Using functional motif number as a cost function in an optimization algorithm, we obtain network topologies that resemble real brain networks across a broad spectrum of structural measures, including small-world attributes. These results are consistent with the hypothesis that highly evolved neural architectures are organized to maximize functional repertoires and to support highly efficient integration of information.     

富脯氨酸模体研究进展

综述了近年来富脯氨酸模体的研究进展状况,并将其分为PxxP核心序列模体、聚脯氨酸模体、PPxY核心序列模体以及其他类型的模体4类,论述了富脯氨酸膜体的生物学功能及其常出现的原因.     

CpG模体的免疫激活机制及应用

CpG模体是一些在机体内外具有强烈免疫激活功能的寡聚脱氧核苷酸短序列。章综述了近年来有关CpG模体作用机制及其应用方面的研究进展。在机制方面,着重对CpGDNA细胞激活和信号转导两方面进行了详尽的阐述;在应用方面,重点介绍了其作为疫苗佐剂和免疫性疾病治疗药物的研究现状。     

Motifs of the caldesmon family

Seven highly conserved regions were found in caldesmon molecules from various sources using the multiple sequence alignment method. Their localization coincides with regions where the binding sites to other proteins were postulated. Less conserved and highly divergent regions of the sequences are described as well. These results could refine the planning of caldesmon gene manipulations and accelerate the precise localization of binding sites in the caldesmon molecule and, as a consequence, this could help to elucidate its function in smooth muscle contraction.     

Pollinator-Mediated Selection on Flower Color,Flower Scent and Flower Morphology of Hemerocallis: Evidence from Genotyping Individual Pollen Grains On the Stigma

To trace the fate of individual pollen grains through pollination processes, we determined genotypes of single pollen grains deposited on Hemerocallis stigmas in an experimental mixed-species array. Hemerocallis fulva, pollinated by butterflies, has diurnal, reddish and unscented flowers, and H. citrina, pollinated by hawkmoths, has nocturnal, yellowish and sweet scent flowers. We observed pollinator visits to an experimental array of 24 H. fulva and 12 F2 hybrids between the two species (H. fulva and H. citrina) and collected stigmas after every trip bout of swallowtail butterflies or hawkmoths. We then measured selection by swallowtail butterflies or hawkmoths through male and female components of pollination success as determined by single pollen genotyping. As expected, swallowtail butterflies imposed selection on reddish color and weak scent: the number of outcross pollen grains acquired is a quadratic function of flower color with the maximum at reddish color, and the combined pollination success was maximal at weak scent (almost unrecognizable for human). This explains why H. fulva, with reddish flowers and no recognizable scent, is mainly pollinated by swallowtail butterflies. However, we found no evidence of hawkmoths-mediated selection on flower color or scent. Our findings do not support a hypothesis that yellow flower color and strong scent intensity, the distinctive floral characteristics of H. citrina, having evolved in adaptations to hawkmoths. We suggest that the key trait that triggers the evolution of nocturnal flowers is flowering time rather than flower color and scent.     

Motifs involved in protein-protein interactions

Summary Interactions between proteins are extremely variable. However, in the dimeric proteins comprised of regular motifs, interface interactions are similar to those that stabilize monomers. Additional stability is gained by converting loops within motifs or domains to linkers across interfaces. In multi-domain proteins, interactions can be greatly effected by the conformation of linkers between domains. Complex association of subunits, involving higher rotational symmetry or cubic symmetry, frequently involves motif sharing across interfaces.     

Flower: extracting information from pyrosequencing data

The SFF file format produced by Roche's 454 sequencing technology is a compact, binary format that contains the flow values that are used for base and quality calling of the reads. Applications, e.g. in metagenomics, often depend on accurate sequence information, and access to flow values is important to estimate the probability of errors. Unfortunately, the programs supplied by Roche for accessing this information are not publicly available. Flower is a program that can extract the information contained in SFF files, and convert it to various textual output formats. AVAILABILITY: Flower is freely available under the General Public License.     

Dimensionality of Social Networks Using Motifs and Eigenvalues

We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from an m-dimensional metric space with power-law distributed influence regions best fits samples from real-world networks when m scales logarithmically with the number of nodes of the network. This supports a logarithmic dimension hypothesis, and we provide evidence with two different social networks, Facebook and LinkedIn. Further, we employ two different methods for confirming the hypothesis: the first uses the distribution of motif counts, and the second exploits the eigenvalue distribution.