Regulation of gene expression in a type II restriction-modification system

Type II restriction-modification systems are comprised of a restriction endonuclease and methyltransferase. The enzymes are coded by individual genes and recognize the same DNA sequence. Endonuclease makes a double-stranded break in the recognition site, and methyltransferase covalently modifies DNA bases within the recognition site, thereby preventing cleavage by the endonuclease. The concerted action of these enzymes plays the role of a primitive immune system and protects the bacterial host cell from invasion by foreign (for example, viral) DNA. However, uncontrolled expression of restriction-modification system genes can result in the death of a bacterial host cell because of endonuclease cleavage of the host DNA. In the present review, data on the regulation of expression of the type II restriction-modification enzymes genes are discussed.     

Fractional proliferation: a method to deconvolve cell population dynamics from single-cell data

We present an integrated method that uses extended time-lapse automated imaging to quantify the dynamics of cell proliferation. Cell counts are fit with a quiescence-growth model that estimates rates of cell division, entry into quiescence and death. The model is constrained with rates extracted experimentally from the behavior of tracked single cells over time. We visualize the output of the analysis in fractional proliferation graphs, which deconvolve dynamic proliferative responses to perturbations into the relative contributions of dividing, quiescent (nondividing) and dead cells. The method reveals that the response of 'oncogene-addicted' human cancer cells to tyrosine kinase inhibitors is a composite of altered rates of division, death and entry into quiescence, a finding that challenges the notion that such cells simply die in response to oncogene-targeted therapy.     

TedSim: temporal dynamics simulation of single-cell RNA sequencing data and cell division history

Recently, lineage tracing technology using CRISPR/Cas9 genome editing has enabled simultaneous readouts of gene expressions and lineage barcodes, which allows for the reconstruction of the cell division tree and makes it possible to reconstruct ancestral cell types and trace the origin of each cell type. Meanwhile, trajectory inference methods are widely used to infer cell trajectories and pseudotime in a dynamic process using gene expression data of present-day cells. Here, we present TedSim (single-cell temporal dynamics simulator), which simulates the cell division events from the root cell to present-day cells, simultaneously generating two data modalities for each single cell: the lineage barcode and gene expression data. TedSim is a framework that connects the two problems: lineage tracing and trajectory inference. Using TedSim, we conducted analysis to show that (i) TedSim generates realistic gene expression and barcode data, as well as realistic relationships between these two data modalities; (ii) trajectory inference methods can recover the underlying cell state transition mechanism with balanced cell type compositions; and (iii) integrating gene expression and barcode data can provide more insights into the temporal dynamics in cell differentiation compared to using only one type of data, but better integration methods need to be developed.     

Development of Chainia as a host for xylanase gene cloning : Evidence for occurrence of a restriction-modification system

Summary Conditions for genetic transformation of the xylanase-negative (X^–) strain of Chainia with pIJ 702 were optimized. The growth of Chainia at 30°C for 36 – 40 h and addition of geletin (1%) to the medium resulted in the maximum yield of protoplasts and regeneration efficiency. Poor transformation efficiency of Chainia (X^–) protoplasts by native pIJ 702 versus improved efficiency (16 transformants ug^–1 of plasmid DNA) by prior heating of protoplasts at 42°C for 10 min suggests the occurrence of a restriction system in Chainia. Increased transformation efficiency by passage of the plasmid through Chainia together with the altered methylation status of the transformant plasmid presents evidence for the existence of an operative modification system in Chainia. Development of thiostrepton resistance and formation of me1amin pigment in Chainia (X^–) by transformation with pIJ 702 reveal that genes from Streptomyces can be functionally expressed by Chainia (X^–).(NCL Communication No. 6207)     

Challenges of single-cell diagnostics: analysis of gene expression

Analysis of single-cell gene expression promises a more precise understanding of human disease pathogenesis and important diagnostic applications. Here, we review the rationale for the study of gene expression at the single-cell level, practical methods to isolate homogeneous or single-cell samples, and current approaches to the analysis of single-cell gene expression. Finally, we highlight applications of laser microdissection-based gene expression analysis to the study of human disease and clinical diagnosis.     

Space and time-resolved gene expression experiments on cultured mammalian cells by a single-cell electroporation microarray

Single-cell experiments represent the next frontier for biochemical and gene expression research. Although bulk-scale methods averaging populations of cells have been traditionally used to investigate cellular behavior, they mask individual cell features and can lead to misleading or insufficient biological results. We report on a single-cell electroporation microarray enabling the transfection of pre-selected individual cells at different sites within the same culture (space-resolved), at arbitrarily chosen time points and even sequentially to the same cells (time-resolved). Delivery of impermeant molecules by single-cell electroporation was first proven to be finely tunable by acting on the electroporation protocol and then optimized for transfection of nucleic acids into Chinese Hamster Ovary (CHO-K1) cells. We focused on DNA oligonucleotides (ODNs), short interfering RNAs (siRNAs), and DNA plasmid vectors, thus providing a versatile and easy-to-use platform for time-resolved gene expression experiments in single mammalian cells.     

Whole-body integration of gene expression and single-cell morphology

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Within-host population dynamics and the evolution of microparasites in a heterogeneous host population

Abstract Why do parasites harm their hosts? The general understanding is that if the transmission rate and virulence of a parasite are linked, then the parasite must harm its host to maximize its transmission. The exact nature of such trade‐offs remains largely unclear, but for vertebrate hosts it probably involves interactions between a microparasite and the host immune system. Previous results have suggested that in a homogeneous host population in the absence of super‐ or coinfection, within‐host dynamics lead to selection of the parasite with an intermediate growth rate that is just being controlled by the immune system before it kills the host (Antia et al. 1994). In this paper, we examine how this result changes when heterogeneity is introduced to the host population. We incorporate the simplest form of heterogeneity–random heterogeneity in the parameters describing the size of the initial parasite inoculum, the immune response of the host, and the lethal density at which the parasite kills the host. We find that the general conclusion of the previous model holds: parasites evolve some intermediate growth rate. However, in contrast with the generally accepted view, we find that virulence (measured by the case mortality or the rate of parasite‐induced host mortality) increases with heterogeneity. Finally, we link the within‐host and between‐host dynamics of parasites. We show how the parameters for epidemiological spread of the disease can be estimated from the within‐host dynamics, and in doing so examine the way in which trade‐offs between these epidemiological parameters arise as a consequence of the interaction of the parasite and the immune response of the host.     

Amylase gene expression patterns in Helicoverpa armigera upon feeding on a range of host plants

Venoms contain highly complex mixtures that typically include hundreds of different components and have evolved independently in a diverse range of animals including platypuses, shrews, snakes, lizards, fishes, echinoderms, spiders, wasps, centipedes, sea snails, cephalopods, jellyfish and sea anemones. Many venom genes evolved through gene duplication. Gene duplication occurs in all domains of life and provides the raw substrate from which novel function arise. In this review, we focus on the role that gene duplication has played in the origin and diversification of venom genes. We outline the selective advantages of venom gene duplicates and the role that selection has played in the retention of these duplicates. We use toxin gene intermediates to help trace the evolution of toxin innovation. We also focus on other genomic processes, such as exon and domain duplications, in venom evolution. Finally, we conclude by focusing on the use of high throughput sequencing technology in understanding venom evolution.     

Streptomyces: a host for heterologous gene expression.

Streptomyces species offer many potential advantages as hosts for the expression and secretion of eukaryotic gene products. In this review we discuss the expression and localization signals that have been used to direct heterologous gene expression and the applications of these signals. Finally, we discuss future strategies aimed at increasing the capacity of this host for the high level production of biologically active eukaryotic gene products.     

Exploiting host microtubule dynamics: a new aspect of bacterial invasion

During infection, many pathogenic bacteria modulate the actin cytoskeleton of eukaryotic host cells to facilitate various infectious processes such as the attachment to or invasion of epithelial cells. Additionally, some pathogenic bacteria are capable of modulating the dynamics of host microtubule (MTs). Although the molecular basis for this is still poorly understood, a recent study of the Shigella VirA effector protein, which is delivered via a type III secretion system, suggests that MT destabilization plays an important role in Shigella infection.     

Semi-quantitative expression and knockdown of a target gene in single-cell mouse embryonic stem cells by high performance microinjection

Interactions of multiple genes and associated factors are involved in the differentiation and de-differentiation of embryonic stem (ES) cells. Quantitative analysis of these genes and factors is essential for the elucidation of their mechanism. To meet this requirement, we have investigated various experimental conditions for high performance microinjection into mouse ES cells. A speedy and rhythmic operation was found to be important and was accomplished robotically by using a single-cell manipulation technique and XY-address registrable culture dishes. Among many experimental parameters, the tip size of an injection capillary, the pressure condition, and the DNA concentration in the injection capillary were of critical significance. Their optimum values were 0.5–0.8 μm, 0.7 kgf/cm² for 30 ms, and 1–100 ng/μl, respectively. Under these conditions, semi-quantitative control of the EGFP gene expression in mouse ES cells and its knockdown was successfully demonstrated.     

Rainfall and host reproduction regulate population dynamics of a specialist seed predator

1. Mast seeding is a widespread resource pulse caused by synchronized and intermittent production of a large seed crop by plant populations. The effects of masting on wildlife have been well documented in granivorous vertebrates, but less is known about its impact on population dynamics of insects. 2. This study investigated, over 6 years, variation in abundance of a specialist weevil (Curculio elephas) preying on holm oak (Quercus ilex) acorns. 3. An immediate bottom-up effect of seed production on weevil larval abundance was detected, which was driven by an increase in realised fecundity and aggregation at seed-rich trees. Moreover, trees producing on average more and larger acorns sustained larger weevil populations. However, no correlation was found between current and previous year adult abundance, suggesting that C. elephas did not capitalise on the reproductive bottom-up effect. 4. It was rainfall, not masting, that most strongly shaped the temporal variation in insect abundance. Rainfall facilitates emergence after diapause at underground earth cells and was also responsible for among-tree synchronisation in adult weevil population dynamics. 5. In spite of their trophic specialisation, not only food availability, but also weather affects weevil numbers. The present results indicate that moving beyond bottom-up effects is required to better understand complex systems that involve masting plants and insects that consume their seeds.     

Evolutionary and population dynamics of host–parasitoid interactions

The role of evolutionary dynamics in understanding host–parasitoid interactions is interlinked with the population dynamics of these interactions. Here, we address the problems in coupling evolutionary and population dynamics of host–parasitoid interactions. We review previous theoretical and empirical studies and show that evolution can alter the ecological dynamics of a host–parasitoid interaction. Whether evolution stabilizes or destabilizes the interaction depends on the direction of evolutionary changes, which are affected by ecological, physiological, and genetic details of the insect biology. We examine the effect of life history correlations on population persistence and stability, embedding two types, one of which is competitively inferior but superior in encapsulation (for parasitoid, virulence), in a Nicholson–Bailey model with intraspecific resource competition for host. If a trade-off exists between intraspecific competitive ability and encapsulation (or virulence, as a countermeasure) in both the host and parasitoid, the trade-off or even positive correlation in the parasitoid is less influential to ecological stability than the trade-off in the host. We comment on the bearing this work has on the broader issues of understanding host–parasitoid interactions, including long-term biological control. Received: November 10, 1998 / Accepted: January 18, 1999     

Spatial and temporal expression of a Polysphondylium spore-specific gene

In the cellular slime mold Polysphondylium spherical masses of cells are periodically released from the base of the culminating sorogen. These whorls undergo a morphogenetic transformation from spherical to radial symmetry, marked by the early emergence of a radially symmetric prepattern on the whorl surface. In previous experiments, morphogenesis was followed by observing prestalk cell markers. Here we describe the isolation and characterization of a spore coat gene whose expression pattern is the negative image of the prestalk pattern. To study the molecular mechanism of sp-45 gene regulation, we have cloned and analyzed the sp-45 promoter. Deletion analysis localized a single positive regulatory element (PRE) to a 106-bp fragment between positions -246 and -352 of the upstream coding sequence. This fragment can be further divided into a promoter-proximal and promoter-distal PRE and a 29-bp sequence between them. The distal PRE can regulate prespore expression when fused to a nonfunctioning basal promoter. The distal PRE contains two adjacent essential elements, a Gr box (GTGATATAGTGG) and a TA box (TAATATATT). Each element can drive prespore cell-specific reporter gene expression independently when incorporated into a nonfunctional promoter. Our results also show that prespore cell-specific gene expression is solely under positive regulation, with no evidence for spore-specific enhancers or cis-acting negative regulatory elements. By fusing GFP to the C-terminus of sp-45, we have demonstrated that the graded gene expression of SP45 in the sorogen is regulated by a sequence lying within the sp-45 coding sequence. The temporal and spatial expression pattern of this protein, taken together with the prestalk expression pattern, demonstrates unambiguously that the radial symmetries that emerge in the whorl are established by a system of positional coordinates and that cell sorting plays little if any role in this process.