Detection of structural and numerical chromosome abnormalities in interphase cells using spectral imaging.

Chromosome abnormalities are common causes of congenital malformations and spontaneous abortions. They include structural abnormalities, polyploidy, trisomy, and mosaicism. In in vitro fertilization (IVF) programs, preimplantation genetic diagnosis (PGD) of oocytes and embryos has become the technique of choice to select against abnormal embryos before embryo transfer. For diagnosis of structural abnormalities, we developed case-specific breakpoint-spanning DNA probes. Screening of an in-house yeast artificial chromosome (YAC) library is facilitated by information from publicly available databases and published articles. Most numerical chromosome abnormalities, on the other hand, are detrimental to early embryonic development and increase with maternal age. We therefore developed a multichromosome screening technique based on spectral imaging to simultaneously detect and score as many as 10 different chromosome types. The probe set was chosen to detect more than 70% of all numerical chromosome aberrations responsible for spontaneous abortions. Detecting structural and numerical abnormalities in single interphase cells using spectral imaging is a powerful technique for multilocus genetic screening.     

Multilocus genetic analysis of Cryptosporidium in naturally contaminated bivalve molluscs

AIMS: To evaluate the application of discriminatory multilocus PCR procedures for the characterization of Cryptosporidium in samples of naturally contaminated bivalve molluscan shellfish. METHODS AND RESULTS: Nucleic acid was extracted from 22 shellfish previously identified as contaminated with Cryptosporidium spp. and subjected to PCR-based analysis for two independent fragments of the Cryptosporidium oocyst wall protein (COWP) gene, three microsatellite markers (ML 1, GP 15 and MS 5) and an extra-chromosomal small double-stranded RNA (dsRNA). Overall, at least one COWP gene fragment was amplified from all 22 samples, 21 amplified the dsRNA and 14 at least one of the three microsatellite loci. More than one dsRNA or microsatellite allele was detected in 50% of samples. The majority of samples were contaminated with Cryptosporidium parvum types circulating in both humans and livestock. A novel dsRNA element was identified in one sample, which did not amplify any of the three microsatellite loci investigated. CONCLUSIONS: Multilocus analysis of Cryptosporidium can be applied to DNA extracted from naturally contaminated shellfish. SIGNIFICANCE AND IMPACT OF STUDY: This multilocus genetic analysis highlights that filter feeder molluscs are a potential source of cryptosporidial oocysts, which may be infectious to humans.     

Multilocus microsatellite analysis reveals extensive genetic diversity in Neospora caninum

Neospora caninum is a world-wide parasite that causes neuromuscular disorders in dogs and bovine abortion. Biological diversity among isolates has been proved in both in vivo and in vitro studies. In contrast, little is known about the genetic diversity of this parasite. Microsatellite sequence analysis constitutes a suitable tool that has been used for the genetic analysis of other apicomplexan parasites. In this report, we describe the identification and analysis of 13 microsatellite loci from N. caninum DNA sequences deposited in public databases, which were evaluated with the use of 9 isolates grown in vitro. One microsatellite was monomorphic, and the remaining 12 loci exhibited 3 to 9 separate alleles. Multilocus analysis showed that each of the 9 isolates investigated here displayed a unique profile and revealed no association between the genetic similarity and host or geographic origin. The multilocus analysis approach described here might nevertheless provide the powerful tool needed to study the genetic complexity of N. caninum and the molecular epidemiology of neosporosis.     

Preimplantation genetic analysis of translocations: case-specific probes for interphase cell analysis

Carriers of balanced translocations show an increased risk of infertility and spontaneous abortions, because of errors in gametogenesis, and constitute a significant fraction of patients seeking assisted reproduction. The objective of this study was to design approaches for preimplantation diagnosis of chromosome translocations and to apply such techniques to the selection of chromosomally normal or balanced embryos prior to their transfer to the mother’s womb. Three slightly different approaches were assessed by means of chromosome-specific, non-isotopically labeled DNA probes and an assay based on fluorescence in situ hybridization- to score and characterize chromosomes in single blastomeres biopsied from embryos on their third day of development. The three approaches were used for preimplantation genetic diagnosis involving four couples who had enrolled in our IVF program and in which one of the partners was a carrier of one of the following translocations: 46,XX,t(12;20)(p13.1;q13.3), 46,XY,t(3;4) (p24;p15), 45,XY,der(14;15)(10q;10q), and 46,XY,t(6;11) (p22.1;p15.3). A total of 33 embryos were analyzed, of which 25 (75.8%) were found to be either unbalanced or otherwise chromosomally abnormal. Only a single embryo could be transferred to patients A and D, whereas three embryos were transferred to patient B in a total of two IVF cycles. Transfer of two embryos to patient C resulted in an ongoing pregnancy. Re-analysis of non-transferred embryos with additional probes confirmed the initial results in 95% (20/21) of the cases. In conclusion, case-specific translocation tests can be applied to any translocation carrier for the selection of normal or chromosomally balanced embryos prior to embryo transfer. This is expected significantly to increase the success rates in IVF cycles of translocation carriers, while preventing the spontaneous abortion or birth of abnormal offspring. Received: 13 January 1998 / Accepted: 24 March 1998     

Multilocus estimation of genetic structure within populations

Spatial structure of genetic variation within populations is well measured by statistics based on the distribution of pairs of individual genotypes, and various such statistics have been widely used in experimental studies. However, the problem of uncharacterized correlations among statistics for different alleles has limited the applications of multiallelic, multilocus summary measures, since these had unknown sampling distributions. Usually multiple alleles and/or multiple loci are required in order to precisely measure spatial structures, and to provide precise indirect estimates of the amount of dispersal in samples of reasonable size. This article examines the correlations among pair-wise statistics, including Moran I-statistics and various measures of conditional kinship, for different alleles of a locus. First the correlations are mathematically derived for random spatial distributions, which allow averages over alleles and loci to be used as more powerful yet exact test statistics for the null hypothesis. Then extensive computer simulations are conducted to examine the correlations among values for different alleles under isolation by distance processes. For loci with more than three alleles, the results show that the correlations are remarkably and perhaps surprisingly small, establishing the principle that then alleles behave as nearly independent realizations of space-time stochastic processes. The results also show that the correlations are largely robust with respect to the degree of spatial structure, and they can be used in a straightforward manner to form confidence intervals for averages. The results allow a precise connection between observations in experimental studies and levels of dispersal in theoretical models.     

Multilocus sequence analysis of Fusarium pseudograminearum reveals a single phylogenetic species

Fusarium pseudograminearum causes crown rot of wheat in Australia and most other wheat growing regions, but its evolutionary history is largely unknown. We demonstrate for the first time that F. pseudograminearum is a single phylogenetic species without consistent lineage development across genes. Isolates of F. pseudograminearum, F. graminearum sensu lato, and F. cerealis, were collected from four countries and four single copy, nuclear genes were partially sequenced, aligned with previously published sequences of these and related species, and analysed by maximum parsimony and Bayesian inference. Evolutionary divergence varied between genes, with high phylogenetic incongruence occurring between the gene genealogies. The absence of geographic differentiation between isolates indicates that the introduction of new fungal strains to a region has the potential to introduce new pathogenic and toxigenic genes into the native population through sexual recombination.     

Localization and molecular interactions of mitoxantrone within living K562 cells as probed by confocal spectral imaging analysis

Studying mechanisms of drug antitumor action is complicated by the lack of noninvasive methods enabling direct monitoring of the state and interactions of the drugs within intact viable cells. Here we present a confocal spectral imaging (CSI) technique as a method of overcoming this problem. We applied this method to the examination of localization and interactions of mitoxantrone (1, 4-dihydroxy-5, 8-bis-[([2-(2-hydroxyethyl)-amino]ethyl)amino]-9,10-anthracenedione dihydrochloride), a potent antitumor drug, in living K562 cells. A two-dimensional set of fluorescence spectra of mitoxantrone (MITOX) recorded with micron resolution within a drug-treated cell was analyzed to reveal formation of drug-target complexes and to create the maps of their intracellular distribution. The analysis was based on detailed in vitro modeling of drug-target (DNA, RNA, DNA topoisomerase II) interactions and environmental effects affecting drug fluorescence. MITOX exposed to aqueous intracellular environment, MITOX bound to hydrophobic cellular structures, complexes of MITOX with nucleic acids, as well as the naphtoquinoxaline metabolite of MITOX were simultaneously detected and mapped in K562 cells. These states and complexes are known to be immediately related to the antitumor action of the drug. The results obtained present a basis for the subsequent quantitative analysis of concentration and time-dependent accumulation of free and bound MITOX within different compartments of living cancer cells.     

Transduction of interphase cells by avian sarcoma virus

It has been generally believed that oncoretroviruses are dependent on mitosis for efficient nuclear entry of viral DNA. We previously identified a nuclear localization signal in the integrase protein of an oncoretrovirus, avian sarcoma virus (ASV), suggesting an active import mechanism for the integrase-DNA complex (G. Kukolj, R. A. Katz, and A. M. Skalka, Gene 223:157-163, 1998). Here, we have evaluated the requirement for mitosis in nuclear import and integration of ASV DNA. Using a modified ASV encoding a murine leukemia virus amphotropic env gene and a green fluorescent protein (GFP) reporter gene, DNA nuclear import was measured in cell cycle-arrested avian (DF-1) as well as human (HeLa) and mouse cells. The results showed efficient accumulation of nuclear forms of ASV DNA in gamma-irradiation-arrested cells. Efficient transduction of a GFP reporter gene was also observed after infection of cells that were arrested with gamma-irradiation, mitomycin C, nocodazole, or aphidicolin, confirming that nuclear import and integration of ASV DNA can occur in the absence of mitosis. By monitoring GFP expression in individual cells, we also obtained evidence for nuclear import of viral DNA during interphase in cycling cells. Lastly, we observed that ASV can transduce postmitotic mouse neurons. These results support an active nuclear import mechanism for the oncoretrovirus ASV and suggest that this mechanism can operate in both nondividing and dividing cells.     

Multilocus population genetic analysis of the Southwest Pacific malaria vector Anopheles punctulatus

The population structure and history of the cryptic malaria vector species, Anopheles punctulatus (Doenitz), was investigated throughout Papua New Guinea and the Solomon Islands with the aim of detailing genetic subdivisions and the potential for movement through this biogeographically complex region. We obtained larval collections from over 80 sites and utilised a diverse array of molecular markers that evolve through different processes. Individuals were initially identified to species and genotyped using the ribosomal DNA second internal transcribed spacer. DNA sequencing of a single copy nuclear ribosomal protein S9 and the mitochondrial cytochrome oxidase I loci were then investigated and 12 nuclear microsatellite markers were developed and analysed. Our data revealed three genetically distinct populations – one in Papua New Guinea, the second on Buka Island (Bougainville Province, Papua New Guinea), and the third on Guadalcanal Island (Solomon Islands). Genetic differentiation within Papua New Guinea was much lower than that found in studies of other closely related species in the region. The data does suggest that A. punctulatus has undergone a population bottleneck followed by a recent population and range expansion in Papua New Guinea. Humans and regional economic growth may be facilitating this population expansion, as A. punctulatus is able to rapidly occupy human modified landscapes and traverse unsealed roads. We therefore anticipate extensive movement of this species through New Guinea – particularly into the highlands, with a potential increase in malaria frequency in a warming climate – as well as relatively unrestricted gene flow of advantageous alleles that may confound vector control efforts.     

Detailed chromosomal and molecular genetic analysis of single cells by whole genome amplification and comparative genomic hybridisation.

Molecular genetic analysis of isolated single cells and other minute DNA samples is limited because there is insufficient DNA to perform more than one independent PCR amplification. One solution to this problem is to first amplify the entire genome, thus providing enough DNA for numerous subsequent PCRs. In this study we have investigated four different methods of whole genome amplification performed on single cells, and have identified a protocol that generates sufficient quantities of DNA for comparative genomic hybridisation (CGH) as well as more than 90 independent amplification reactions. Thus, numerous specific loci and the copy number of every chromosome can be assessed in a single cell. We report here the first reliable application of CGH to single cells from human preimplantation embryos (blastomeres) and to single fibroblasts, buccal cells and amniocytes.     

Quantitative analysis of a nuclear antigen in interphase and mitotic cells

The quantification of an interchromatin-associated antigen, designated p 105, during cellular passage through mitosis is described. Indirect immunofluorescence microscopy and immunogold electron microscopy demonstrated a qualitative increase in p 105 within the mitotic cytoplasm. Multiparameter flow cytometric analysis was performed on fixed cells sequentially stained with anti-p 105 immunofluorescence and/or propidium iodide. This analysis demonstrated approximately a tenfold increase in intracellular p 105 content as a function of progression from the G2 to the M phase. This increase was corroborated by the quantitative immunoblot analysis of colchicine-treated cell cultures and of cells sorted on the basis of anti-p 105 immunofluorescence. The data reveal that the increased levels of anti-p 105 immunofluorescence in conjunction with flow cytometry may be used effectively to quantitate mitotic index and isolate mitotic cells. The function and modulation of p 105 throughout the cell cycle is discussed.     

Mass spectrometry imaging and profiling of single cells

Mass spectrometry imaging and profiling of individual cells and subcellular structures provide unique analytical capabilities for biological and biomedical research, including determination of the biochemical heterogeneity of cellular populations and intracellular localization of pharmaceuticals. Two mass spectrometry technologies-secondary ion mass spectrometry (SIMS) and matrix assisted laser desorption/ionization mass spectrometry (MALDI MS)-are most often used in micro-bioanalytical investigations. Recent advances in ion probe technologies have increased the dynamic range and sensitivity of analyte detection by SIMS, allowing two- and three-dimensional localization of analytes in a variety of cells. SIMS operating in the mass spectrometry imaging (MSI) mode can routinely reach spatial resolutions at the submicron level; therefore, it is frequently used in studies of the chemical composition of subcellular structures. MALDI MS offers a large mass range and high sensitivity of analyte detection. It has been successfully applied in a variety of single-cell and organelle profiling studies. Innovative instrumentation such as scanning microprobe MALDI and mass microscope spectrometers enables new subcellular MSI measurements. Other approaches for MS-based chemical imaging and profiling include those based on near-field laser ablation and inductively-coupled plasma MS analysis, which offer complementary capabilities for subcellular chemical imaging and profiling.     

Quantitative detection of rare interphase chromosome breaks and translocations by high-throughput imaging

We report a method for the sensitive detection of rare chromosome breaks and translocations in interphase cells. HiBA-FISH (High-throughput break-apart FISH) combines high-throughput imaging with the measurement of the spatial separation of FISH probes flanking target genome regions of interest. As proof-of-principle, we apply hiBA-FISH to detect with high sensitivity and specificity rare chromosome breaks and translocations in the anaplastic large cell lymphoma breakpoint regions of NPM1 and ALK. This method complements existing approaches to detect translocations by overcoming the need for precise knowledge of translocation breakpoints and it extends traditional FISH by its quantitative nature.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-015-0718-x) contains supplementary material, which is available to authorized users.     

Modeling of negative autoregulated genetic networks in single cells

We discuss recent developments in the modeling of negative autoregulated genetic networks. In particular, we consider the temporal evolution of the population of mRNA and proteins in simple networks using rate equations. In the limit of low copy numbers, fluctuation effects become significant and more adequate modeling is then achieved using the master equation formalism. The analogy between regulatory gene networks and chemical reaction networks on dust grains in the interstellar medium is discussed. The analysis and simulation of complex reaction networks are also considered.     

Smart 3D-FISH: automation of distance analysis in nuclei of interphase cells by image processing.

BACKGROUND: Detection of fluorescent probes by fluorescence in situ hybridization in cells with preserved three-dimensional nuclear structures (3D-FISH) is useful for studying the organization of chromatin and localization of genes in interphase nuclei. Fast and reliable measurements of the relative positioning of fluorescent spots specific to subchromosomal regions and genes would improve understanding of cell structure and function. METHODS: 3D-FISH protocol, confocal microscopy, and digital image analysis were used. RESULTS: New software (Smart 3D-FISH) has been developed to automate the process of spot segmentation and distance measurements in images from 3D-FISH experiments. It can handle any number of fluorescent spots and incorporate images of 4',6-diamino-2-phenylindole counterstained nuclei to measure the relative positioning of spot loci in the nucleus and inter-spot distance. Results from a pilot experiment using Smart 3D-FISH on ENL, MLL, and AF4 genes in two lymphoblastic cell lines were satisfactory and consistent with data published in the literature. CONCLUSION: Smart 3D-FISH should greatly facilitate image processing and analysis of 3D-FISH images by providing a useful tool to overcome the laborious task of image segmentation based on user-defined parameters and decrease subjectivity in data analysis. It is available as a set of plugins for ImageJ software.