A Scalable Random Access Micro-traps Array for Formation, Selective Retrieval and Capturing of Individual Droplets.

Formation, selective retrieval and capturing of individual droplets are key operational capabilities needed for a broad range of droplet microfluidic applications. The membrane displacement trap (MDT) element gives a robust method for uniform discretization and controllable manipulation of aqueous droplets using an enclosed micro-well covered by an elastomer membrane. This capability can be scaled up by combining the modular elements with a system design that requires a minimal number of signal inputs. Incorporation of MDT elements with a pneumatically-controllable multiplexer system can lead to a scalable random access MDT array platform for liquid discretization and selective manipulation. Herein, we report the design and development of a programmable droplet microfluidic platform for liquid sampling and selectively handling up to 32 individual droplets using 10 pneumatic signal inputs. The multiplexer system can logarithmically scale up capacity of the MDT array platform, making it possible to manipulate hundreds droplets.

Controlled droplet discretization and manipulation using membrane displacement traps.

An innovative platform enabling complex discretization and manipulation of aqueous droplets is described. The system uses simple membrane displacement trap elements to perform multiple functions including droplet discretization, release, metering, capture, and merging. Multi-layer PDMS devices with membrane displacement trap arrays are used to discretize sample into nanoliter scale droplet volumes, and reliably manipulate individual droplets within the arrays. Performance is characterized for varying capillary number flows, membrane actuation pressures, trap and membrane geometries, and trapped droplet volumes, with operational domains established for each platform function. The novel approach to sample digitization and droplet manipulation is demonstrated through discretization of a dilute bacteria sample, metering of individual traps to generate droplets containing single bacteria, and merging of the resulting droplets to pair the selected bacteria within a single droplet.

Cancer epigenetics: from disruption of differentiation programs to the emergence of cancer stem cells.

Cancer is a disease of the genome. Whereas efforts to understand the molecular basis of cancer have in the past largely focused on the role of mutations, recent evidence points to a strong epigenetic component in tumorigenesis, and epigenetic defects have been linked to loss of cell cycle control and cell survival. Here, we discuss the possibility that epigenetic alterations may promote tumor formation by an alternative mechanism. We speculate that epigenetic changes in stem cells and somatic cells contribute significantly to carcinogenesis by disruption of cellular differentiation programs. Epigenetic interference and loss of cellular identity may be particularly relevant for the emergence of cancer stem cells.

Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming.

Communications between cells in large part drive tissue development and function, as well as disease-related processes such as tumorigenesis. Understanding the mechanistic bases of these processes necessitates quantifying specific molecules in adjacent cells or cell nuclei of intact tissue. However, a major restriction on such analyses is the lack of an efficient method that correctly segments each object (cell or nucleus) from 3-D images of an intact tissue specimen. We report a highly reliable and accurate semi-automatic algorithmic method for segmenting fluorescence-labeled cells or nuclei from 3-D tissue images. Segmentation begins with semi-automatic, 2-D object delineation in a user-selected plane, using dynamic programming (DP) to locate the border with an accumulated intensity per unit length greater that any other possible border around the same object. Then the two surfaces of the object in planes above and below the selected plane are found using an algorithm that combines DP and combinatorial searching. Following segmentation, any perceived errors can be interactively corrected. Segmentation accuracy is not significantly affected by intermittent labeling of object surfaces, diffuse surfaces, or spurious signals away from surfaces. The unique strength of the segmentation method was demonstrated on a variety of biological tissue samples where all cells, including irregularly shaped cells, were accurately segmented based on visual inspection.

A high-throughput system for segmenting nuclei using multiscale techniques.

Automatic segmentation of cell nuclei is critical in several high-throughput cytometry applications whereas manual segmentation is laborious and irreproducible. One such emerging application is measuring the spatial organization (radial and relative distances) of fluorescence in situ hybridization (FISH) DNA sequences, where recent investigations strongly suggest a correlation between nonrandom arrangement of genes to carcinogenesis. Current automatic segmentation methods have varying performance in the presence of nonuniform illumination and clustering, and boundary accuracy is seldom assessed, which makes them suboptimal for this application. The authors propose a modular and model-based algorithm for extracting individual nuclei. It uses multiscale edge reconstruction for contrast stretching and edge enhancement as well as a multiscale entropy-based thresholding for handling nonuniform intensity variations. Nuclei are initially oversegmented and then merged based on area followed by automatic multistage classification into single nuclei and clustered nuclei. Estimation of input parameters and training of the classifiers is automatic. The algorithm was tested on 4,181 lymphoblast nuclei with varying degree of background nonuniformity and clustering. It extracted 3,515 individual nuclei and identified single nuclei and individual nuclei in clusters with 99.8 +/- 0.3% and 95.5 +/- 5.1% accuracy, respectively. Segmented boundaries of the individual nuclei were accurate when compared with manual segmentation with an average RMS deviation of 0.26 microm (approximately 2 pixels). The proposed segmentation method is efficient, robust, and accurate for segmenting individual nuclei from fluorescence images containing clustered and isolated nuclei. The algorithm allows complete automation and facilitates reproducible and unbiased spatial analysis of DNA sequences.

Spatial genome organization during T-cell differentiation.

The spatial organization of genomes within the mammalian cell nucleus is non-random. The functional relevance of spatial genome organization might be in influencing gene expression programs as cells undergo changes during development and differentiation. To gain insight into the plasticity of genomes in space and time and to correlate the activity of specific genes with their nuclear position, we systematically analyzed the spatial genome organization in differentiating mouse T-cells. We find significant global reorganization of centromeres, chromosomes and gene loci during the differentiation process. Centromeres were repositioned from a preferentially internal distribution in undifferentiated cells to a preferentially peripheral position in differentiated CD4+ and CD8+ cells. Chromosome 6, containing the differentially expressed T-cell markers CD4 and CD8, underwent differential changes in position depending on whether cells differentiated into CD4+ or CD8+ thymocytes. Similarly, the two marker loci CD4 and CD8 showed distinct behavior in their position relative to the chromosome 6 centromere at various stages of differentiation. Our results demonstrate that significant spatial genome reorganization occurs during differentiation and indicate that the relationship between dynamic genome topology and single gene regulation is highly complex.

Kinetic modelling approaches to in vivo imaging.

The ability to visualize protein dynamics and biological processes by in vivo microscopy is revolutionizing many areas of biology. These methods generate large, kinetically complex data sets, which often cannot be intuitively interpreted. The combination of dynamic imaging and computational modelling is emerging as a powerful tool for the quantitation of biophysical properties of molecules and processes. The new discipline of computational cell biology will be essential in uncovering the pathways, mechanisms and controls of biological processes and systems as they occur in vivo.

Arsenic trioxide induces apoptosis in human T-cell leukemia virus type 1- and type 2-infected cells by a caspase-3-dependent mechanism involving Bcl-2 cleavage.

Treatment of patients with adult T-cell leukemia-lymphoma (ATLL) using conventional chemotherapy has limited benefit because human T-cell leukemia virus type 1 (HTLV-1) cells are resistant to most apoptosis-inducing agents. The recent report that arsenic trioxide induces apoptosis in HTLV-1-transformed cells prompted investigation of the mechanism of action of this drug in HTLV-1 and HTLV-2 interleukin-2-independent T cells and in HTLV-1-immortalized cells or in ex vivo ATLL samples. Fluorescence-activated cell sorter analysis, fluorescence microscopy, and measures of mitochondrial membrane potential (Delta Psi m) demonstrated that arsenic trioxide alone was sufficient to induce programmed cell death in all HTLV-1 and -2 cells tested and in ATLL patient samples. I kappa B-alpha phosphorylation strongly decreased, and NF-kappa B translocation to the nucleus was abrogated. Expression of the antiapoptotic protein Bcl-X(L), whose promoter is NF-kappa B dependent, was down-regulated. The collapse of Delta Psi m and the release of cytochrome c to the cytosol resulted in the activation of caspase-3, as demonstrated by the cleavage of PARP. A specific caspase-3 inhibitor (Ac-DEVD-CHO) could reverse this phenotype. The antiapoptotic factor Bcl-2 was then cleaved, converting it to a Bax-like death effector. These results demonstrated that arsenic trioxide induces apoptosis in HTLV-1- and -2-infected cells through activation of the caspase pathway.

The concept of self-organization in cellular architecture.

In vivo microscopy has recently revealed the dynamic nature of many cellular organelles. The dynamic properties of several cellular structures are consistent with a role for self-organization in their formation, maintenance, and function; therefore, self-organization might be a general principle in cellular organization.

Correction of alternative splicing of tau in frontotemporal dementia and parkinsonism linked to chromosome 17.

Mutations in the human tau gene cause frontotemporal dementia and Parkinsonism associated with chromosome 17 (FTDP-17). One of the major disease mechanisms in FTDP-17 is the increased inclusion of tau exon 10 during pre-mRNA splicing. Here we show that modified oligonucleotides directed against the tau exon 10 splice junctions suppress inclusion of tau exon 10. The effect is mediated by the formation of a stable pre-mRNA-oligonucleotide hybrid, which blocks access of the splicing machinery to the pre-mRNA. Correction of tau splicing occurs in a tau minigene system and in endogenous tau RNA in neuronal pheochromocytoma cells and is specific to exon 10 of the tau gene. Antisense oligonucleotide-mediated exclusion of exon 10 has a physiological effect by increasing the ratio of protein lacking the microtubule-binding domain encoded by exon 10. As a consequence, the microtubule cytoskeleton becomes destabilized and cell morphology is altered. Our results demonstrate that alternative splicing defects of tau as found in FTDP-17 patients can be corrected by application of antisense oligonucleotides. These findings provide a tool to study specific tau isoforms in vivo and might lead to a novel therapeutic strategy for FTDP-17.

Mitotic phosphorylation prevents the binding of HMGN proteins to chromatin.

Condensation of the chromatin fiber and transcriptional inhibition during mitosis is associated with the redistribution of many DNA- and chromatin-binding proteins, including members of the high-mobility-group N (HMGN) family. Here we study the mechanism governing the organization of HMGN proteins in mitosis. Using site-specific antibodies and quantitative gel analysis with proteins extracted from synchronized HeLa cells, we demonstrate that, during mitosis, the conserved serine residues in the nucleosomal binding domain (NBD) of this protein family are highly and specifically phosphorylated. Nucleosome mobility shift assays with both in vitro-phosphorylated proteins and with point mutants bearing negative charges in the NBD demonstrate that the negative charge abolishes the ability of the proteins to bind to nucleosomes. Fluorescence loss of photobleaching demonstrates that, in living cells, the negative charge in the NBD increases the intranuclear mobility of the protein and significantly decreases the relative time that it is bound to chromatin. Expression of wild-type and mutant proteins in HmgN1(-/-) cells indicates that the negatively charged protein is not bound to chromosomes. We conclude that during mitosis the NBD of HMGN proteins is highly phosphorylated and that this modification regulates the interaction of the proteins with chromatin.

Functional architecture in the cell nucleus.

The major functions of the cell nucleus, including transcription, pre-mRNA splicing and ribosome assembly, have been studied extensively by biochemical, genetic and molecular methods. An overwhelming amount of information about their molecular mechanisms is available. In stark contrast, very little is known about how these processes are integrated into the structural framework of the cell nucleus and how they are spatially and temporally co-ordinated within the three-dimensional confines of the nucleus. It is also largely unknown how nuclear architecture affects gene expression. In order to understand how genomes are organized, and how they function, the basic principles that govern nuclear architecture and function must be uncovered. Recent work combining molecular, biochemical and cell biological methods is beginning to shed light on how the nucleus functions and how genes are expressed in vivo. It has become clear that the nucleus contains distinct compartments and that many nuclear components are highly dynamic. Here we describe the major structural compartments of the cell nucleus and discuss their established and proposed functions. We summarize recent observations regarding the dynamic properties of chromatin, mRNA and nuclear proteins, and we consider the implications these findings have for the organization of nuclear processes and gene expression. Finally, we speculate that self-organization might play a substantial role in establishing and maintaining nuclear organization.

Dynamic binding of histone H1 to chromatin in living cells.

The linker histone H1 is believed to be involved in chromatin organization by stabilizing higher-order chromatin structure. Histone H1 is generally viewed as a repressor of transcription as it prevents the access of transcription factors and chromatin remodelling complexes to DNA. Determining the binding properties of histone H1 to chromatin in vivo is central to understanding how it exerts these functions. We have used photobleaching techniques to measure the dynamic binding of histone H1-GFP to unperturbed chromatin in living cells. Here we show that almost the entire population of H1-GFP is bound to chromatin at any one time; however, H1-GFP is exchanged continuously between chromatin regions. The residence time of H1-GFP on chromatin between exchange events is several minutes in both euchromatin and heterochromatin. In addition to the mobile fraction, we detected a kinetically distinct, less mobile fraction. After hyperacetylation of core histones, the residence time of H1-GFP is reduced, suggesting a higher rate of exchange upon chromatin remodelling. These results support a model in which linker histones bind dynamically to chromatin in a stop-and-go mode.

The dynamics of postmitotic reassembly of the nucleolus.

Mammalian cell nucleoli disassemble at the onset of M-phase and reassemble during telophase. Recent studies showed that partially processed preribosomal RNA (pre-rRNA) is preserved in association with processing components in the perichromosomal regions (PRs) and in particles called nucleolus-derived foci (NDF) during mitosis. Here, the dynamics of nucleolar reassembly were examined for the first time in living cells expressing fusions of the processing-related proteins fibrillarin, nucleolin, or B23 with green fluorescent protein (GFP). During telophase the NDF disappeared with a concomitant appearance of material in the reforming nuclei. Prenucleolar bodies (PNBs) appeared in nuclei in early telophase and gradually disappeared as nucleoli formed, strongly suggesting the transfer of PNB components to newly forming nucleoli. Fluorescence recovery after photobleaching (FRAP) showed that fibrillarin-GFP reassociates with the NDF and PNBs at rapid and similar rates. The reentry of processing complexes into telophase nuclei is suggested by the presence of pre-rRNA sequences in PNBs. Entry of specific proteins into the nucleolus approximately correlated with the timing of processing events. The mitotically preserved processing complexes may be essential for regulating the distribution of components to reassembling daughter cell nucleoli.

Different site, different splice.

The MKK3/6-p38 pathway has been found to induce the relocalization of premessenger-RNA splicing factors from the nucleus to the cytoplasm. This represents the first physiological mechanism that alters the nuclear ratios of splicing factors and modulates alternative splice-site choice in vivo.

Cell biology of transcription and pre-mRNA splicing: nuclear architecture meets nuclear function.

Gene expression is a fundamental cellular process. The basic mechanisms involved in expression of genes have been characterized at the molecular level. A major challenge is now to uncover how transcription, RNA processing and RNA export are organized within the cell nucleus, how these processes are coordinated with each other and how nuclear architecture influences gene expression and regulation. A significant contribution has come from cell biological approaches, which combine molecular techniques with microscopy methods. These studies have revealed that the mammalian cell nucleus is a complex but highly organized organelle, which contains numerous subcompartments. I discuss here how two essential nuclear processes - transcription and pre-mRNA splicing - are spatially organized and coordinated in vivo, and how this organization might contribute to the control of gene expression. The dynamic nature of nuclear proteins and compartments indicates a high degree of plasticity in the cellular organization of nuclear functions. The cellular organization of transcription and splicing suggest that the morphology of nuclear compartments is largely determined by the activities of the nucleus.

High mobility of proteins in the mammalian cell nucleus.

The mammalian cell nucleus contains numerous sub-compartments, which have been implicated in essential processes such as transcription and splicing. The mechanisms by which nuclear compartments are formed and maintained are unclear. More fundamentally, it is not known how proteins move within the cell nucleus. We have measured the kinetic properties of proteins in the nucleus of living cells using photobleaching techniques. Here we show that proteins involved in diverse nuclear processes move rapidly throughout the entire nucleus. Protein movement is independent of energy, which indicates that proteins may use a passive mechanism of movement. Proteins rapidly associate and dissociate with nuclear compartments. Using kinetic modelling, we determined residence times and steady-state fluxes of molecules in two main nuclear compartments. These data show that many nuclear proteins roam the cell nucleus in vivo and that nuclear compartments are the reflection of the steady-state association/dissociation of its 'residents' with the nucleoplasmic space. Our observations have conceptual implications for understanding nuclear architecture and how nuclear processes are organized in vivo.