Signal integration on the dendrites of a pyramidal neuron model

This paper studied the synaptic and dendritic integration with different spatial distributions of synapses on the dendrites of a biophysically-detailed layer 5 pyramidal neuron model. It has been observed that temporally synchronous and spatially clustered synaptic inputs make dendrites perform a highly nonlinear integration. The effect of clustering degree of synaptic distribution on neuronal responsiveness is investigated by changing the number of top apical dendrites where active synapses are allocated. The neuron shows maximum responsiveness to synaptic inputs which have an intermediate clustering degree of spatial distribution, indicating complex interactions among dendrites with the existence of nonlinear synaptic and dendritic integrations.     

Chromatin Landscapes of Retroviral and Transposon Integration Profiles

The ability of retroviruses and transposons to insert their genetic material into host DNA makes them widely used tools in molecular biology, cancer research and gene therapy. However, these systems have biases that may strongly affect research outcomes. To address this issue, we generated very large datasets consisting of to unselected integrations in the mouse genome for the Sleeping Beauty (SB) and piggyBac (PB) transposons, and the Mouse Mammary Tumor Virus (MMTV). We analyzed (epi)genomic features to generate bias maps at both local and genome-wide scales. MMTV showed a remarkably uniform distribution of integrations across the genome. More distinct preferences were observed for the two transposons, with PB showing remarkable resemblance to bias profiles of the Murine Leukemia Virus. Furthermore, we present a model where target site selection is directed at multiple scales. At a large scale, target site selection is similar across systems, and defined by domain-oriented features, namely expression of proximal genes, proximity to CpG islands and to genic features, chromatin compaction and replication timing. Notable differences between the systems are mainly observed at smaller scales, and are directed by a diverse range of features. To study the effect of these biases on integration sites occupied under selective pressure, we turned to insertional mutagenesis (IM) screens. In IM screens, putative cancer genes are identified by finding frequently targeted genomic regions, or Common Integration Sites (CISs). Within three recently completed IM screens, we identified 7%–33% putative false positive CISs, which are likely not the result of the oncogenic selection process. Moreover, results indicate that PB, compared to SB, is more suited to tag oncogenes.     

MLV integration site selection is driven by strong enhancers and active promoters

Retroviruses integrate into the host genome in patterns specific to each virus. Understanding the causes of these patterns can provide insight into viral integration mechanisms, pathology and genome evolution, and is critical to the development of safe gene therapy vectors. We generated murine leukemia virus integrations in human HepG2 and K562 cells and subjected them to second-generation sequencing, using a DNA barcoding technique that allowed us to quantify independent integration events. We characterized >3 700 000 unique integration events in two ENCODE-characterized cell lines. We find that integrations were most highly enriched in a subset of strong enhancers and active promoters. In both cell types, approximately half the integrations were found in <2% of the genome, demonstrating genomic influences even narrower than previously believed. The integration pattern of murine leukemia virus appears to be largely driven by regions that have high enrichment for multiple marks of active chromatin; the combination of histone marks present was sufficient to explain why some strong enhancers were more prone to integration than others. The approach we used is applicable to analyzing the integration pattern of any exogenous element and could be a valuable preclinical screen to evaluate the safety of gene therapy vectors.     

Common sites of retroviral integration in mouse hematopoietic tumors identified by high-throughput,single nucleotide polymorphism-based mapping and bacterial artificial chromosome hybridization

Retroviral insertional mutagenesis in mouse hematopoietic tumors provides a powerful cancer gene discovery tool. Here, we describe a high-throughput, single nucleotide polymorphism (SNP)-based method, for mapping retroviral integration sites cloned from mouse tumors, and a bacterial artificial chromosome (BAC) hybridization method, for localizing these retroviral integration sites to common sites of retroviral integration (CISs). Several new CISs were identified, including one CIS that mapped near Notch1, a gene that has been causally associated with human T-cell tumors. This mapping method is applicable to many different species, including ones where few genetic markers and little genomic sequence information are available. It can also be used to map endogenous proviruses.     

Integration specificity of phage phiC31 integrase in the human genome

The site-specific integrase from bacteriophage phiC31 functions in mammalian cells and is being applied for genetic engineering, including gene therapy. The phiC31 integrase catalyzes precise, unidirectional recombination between its 30-40-bp attP and attB recognition sites. In mammalian cells, the enzyme also mediates integration of plasmids bearing attB into native sequences that have partial sequence identity with attP, termed pseudo attP sites. Here, we analyzed the features of phiC31-mediated integration into pseudo attP sites in the human genome. Sequence analysis of 196 independent integration events derived from three cell lines revealed approximately 101 integration sites: 56% of the events were recurrent integrations distributed among 19 pseudo attP sequences. Bioinformatics analysis revealed a approximately 30-bp palindromic consensus sequence motif shared by all of the repeat occurrences and most of the single occurrence sites, verifying that phiC31-mediated integration into pseudo attP sites is significantly guided by DNA sequence recognition. The most favored unique sequence in these cell lines occurred at chromosome 19q13.31 and accounted for 7.5% of integration events. Other frequent integration sites were in three specific sequences in subfamilies of ERVL and L1 repetitive sequences, accounting for an additional 17.9% of integration events. Integrations could occur in either orientation at a pseudo attP site, were often accompanied by small deletions, and typically occurred in a single copy per cell. A number of aberrant events were also described, including large deletions and chromosome rearrangements. phiC31 integrase-mediated integration only slightly favored genes and did not favor promoter regions. Gene density and expression studies suggested chromatin context effects. An analysis of the safety of integration sites in terms of proximity to cancer genes suggested minimal cancer risk. We conclude that integration systems derived from phiC31 integrase have great potential utility.     

Cre-mediated site-specific gene integration for consistent transgene expression in rice

To minimize expression variability amongst transgenic lines, we have utilized the strategy of Cre/lox-mediated site-specific gene integration. This method allows the precise integration of a transgene in a lox site previously placed in the genome. Using the biolistic method for DNA delivery, we have generated several site-specific integrant lines, derived from three different target lines. About 80% of the selected lines contain precise integration of the gusA reporter gene and fall into two categories: single-copy (SC) lines that contain site-specific integration without additional random integrations, and multicopy (MC) lines that contain random integrations in addition to the site-specific integration. The expression of the gusA gene was studied in callus cells and regenerated plants. The isogenic SC lines displayed significantly lower expression variation, whereas much higher expression variation was observed in MC lines. Furthermore, stable inheritance of the gusA gene was observed in T1 plants derived from a subset of SC lines. This demonstrates that consistent gene expression can be obtained in rice by Cre-mediated site-specific integration.     

Spectrum of T-DNA integrations for insertional mutagenesis of Histoplasma capsulatum

Agrobacterium-mediated transformation is being increasingly used for insertional mutagenesis of fungi. To better evaluate its effectiveness as a mutagen for the fungal pathogen Histoplasma capsulatum, we analyzed a collection of randomly selected T-DNA insertion mutants. Testing of different T-DNA element vectors engineered for transformation of fungi showed that pBHt2 provides the highest transformation efficiency and the lowest rate of vector backbone carryover. Sixty-eight individual T-DNA integrations were characterized by recovery of T-DNA ends and flanking genomic sequences. The right border (RB) end of the T-DNA is largely preserved whereas the left border (LB) end is frequently truncated. Analysis of T-DNA insertion sites confirms the lack of any integration hotspots in the Histoplasma genome. Relative to genes, T-DNA integrations show significant bias towards promoter regions at the expense of coding sequences. With consideration for potential promoter interruption and the demonstrated efficacy of intronic insertions, 61 % of mapped T-DNA insertions should impair gene expression or function. Mapping of T-DNA flanking sequences demonstrates 67 % of T-DNA integrations are integrations at a single chromosomal site and 31 % of T-DNA integrations are associated with large-scale chromosomal rearrangements. This characterization of T-DNA insertions in mutants selected without regard to phenotype supports application of Agrobacterium-mediated transformation as an insertional mutagen for genome-based screens and functional discovery of genes in Histoplasma.     

Statistical methods of DNA sequence analysis: detection of intragenic recombination or gene conversion

Simple but exact statistical tests for detecting a cluster of associated nucleotide changes in DNA are presented. The tests are based on the linear distribution of a set of s sites among a total of n sites, where the s sites may be the variable sites, sites of insertion/deletion, or categorized in some other way. These tests are especially useful for detecting gene conversion and intragenic recombination in a sample of DNA sequences. In this case, the sites of interest are those that correspond to particular ways of splitting the sequences into two groups (e.g., sequences A and D vs. sequences B, C, and E-J). Each such split is termed a phylogenetic partition. Application of these methods to a well-documented case of gene conversion in human gamma-globin genes shows that sites corresponding to two of the three observed partitions are significantly clustered, whereas application to hominoid mitochondrial DNA sequences--among which no recombination is expected to occur--shows no evidence of such clustering. This indicates that clustering of partition-specific sites is largely due to intragenic recombination or gene conversion. Alternative hypotheses explaining the observed clustering of sites, such as biased selection or mutation, are discussed.      

Against expectation: a short sequence with high signal elucidates cone snail phylogeny

A short (259 nucleotide) conserved intronic sequence (CIS) is surprisingly informative for delineating deep phylogenetic relationships in cone snails. Conus species previously have been assigned to clades based on the evidence from mitochondrial 12S and 16S rRNA gene sequences (1129 bp). Despite their length, these genes lack the phylogenetic information necessary to resolve the relationships among the clades. Here we show that the relationships can be inferred from just 46 sites in the very short CIS sequence (a portion of "intron 9" of the γ-glutamyl carboxylase gene). This is counterintuitive because in short sequences sampling error (noise) often drowns out phylogenetic signal. The intron 9 CIS is rich in synapomorphies that define the divergence patterns among eight clades of worm- and fish-hunting Conus, and it contains almost no homoplasy. Parsimony, maximum likelihood and Bayesian analyses of the combined sequences (mt rRNA+CIS) confirm most of the relationships among 23 Conus sequences. This phylogeny implies that fish-hunting behavior evolved at least twice during the history of Conus-once among New World species and independently in the Indo-Pacific clades.     

Multi-class clustering of cancer subtypes through SVM based ensemble of pareto-optimal solutions for gene marker identification

With the advancement of microarray technology, it is now possible to study the expression profiles of thousands of genes across different experimental conditions or tissue samples simultaneously. Microarray cancer datasets, organized as samples versus genes fashion, are being used for classification of tissue samples into benign and malignant or their subtypes. They are also useful for identifying potential gene markers for each cancer subtype, which helps in successful diagnosis of particular cancer types. In this article, we have presented an unsupervised cancer classification technique based on multiobjective genetic clustering of the tissue samples. In this regard, a real-coded encoding of the cluster centers is used and cluster compactness and separation are simultaneously optimized. The resultant set of near-Pareto-optimal solutions contains a number of non-dominated solutions. A novel approach to combine the clustering information possessed by the non-dominated solutions through Support Vector Machine (SVM) classifier has been proposed. Final clustering is obtained by consensus among the clusterings yielded by different kernel functions. The performance of the proposed multiobjective clustering method has been compared with that of several other microarray clustering algorithms for three publicly available benchmark cancer datasets. Moreover, statistical significance tests have been conducted to establish the statistical superiority of the proposed clustering method. Furthermore, relevant gene markers have been identified using the clustering result produced by the proposed clustering method and demonstrated visually. Biological relationships among the gene markers are also studied based on gene ontology. The results obtained are found to be promising and can possibly have important impact in the area of unsupervised cancer classification as well as gene marker identification for multiple cancer subtypes.