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  • Data for "Comparison of Anorectal Function Measured using Wearable Digital Manometry and a High Resolution Manometry System." article (PLOS ONE) PONE-D-20-01826R1

    Creator:
    Attari, Ali
    Description:
    Please refer to the "README.txt" for more details., MATLAB R2018a (Mathworks, Natick, MA, USA) was used to process this data., and Excel (Microsoft Office) was used to store survey data on the comfort of both systems and also to provide absolute and relative intraobserver variablities for the DM device.
    Keyword:
    Digital Manometry
    Citation to related publication:
    Comparison of anorectal function measured using wearable digital manometry and a high resolution manometry system Attari A, Chey WD, Baker JR, Ashton-Miller JA (2020) Comparison of anorectal function measured using wearable digital manometry and a high resolution manometry system. PLOS ONE 15(9): e0228761.  https://doi.org/10.1371/journal.pone.0228761
    Discipline:
    Engineering, Science, and Health Sciences
    Title:
    Data for "Comparison of Anorectal Function Measured using Wearable Digital Manometry and a High Resolution Manometry System." article (PLOS ONE) PONE-D-20-01826R1

  • Application of the Monte Carlo method in modeling dusty gas, dust in plasma, and energetic ions in planetary and magnetospheric applications

    Creator:
    Valeriy Tenishev
    Description:
    This data represents examples of some applications of AMPS and illustrates the potential of the code for modeling various physical phenomena.
    Keyword:
    Monte Carlo, DSMC
    Discipline:
    Science
    Title:
    Application of the Monte Carlo method in modeling dusty gas, dust in plasma, and energetic ions in planetary and magnetospheric applications

  • Dataset for analyzing spatial distribution of Y-junctions in flat-mounted retinae

    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    This dataset is composed of eight flat-mounted (dissected and fixed) retinae from juvenile and adult zebrafish. Rows of UV cones have been traced in each retina; additionally, we have identified locations of Y-junctions (row insertions). Also included is MATLAB code for calculating which Y-junctions belong to grain boundaries. Please see the readme file for a description of included codes and image files.
    Keyword:
    zebrafish cone mosaic, topological defects, tissue patterning, and grain boundaries
    Citation to related publication:
    Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. bioRxiv 806679; doi:  https://doi.org/10.1101/806679 and Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. PLoS Comput Biol. 2020 (under review)
    Discipline:
    Science
    Title:
    Dataset for analyzing spatial distribution of Y-junctions in flat-mounted retinae

  • Code and example simulations of phase-field crystal model (for cone mosaic formation)

    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    The most important part of this deposit is the code necessary for simulating the anisotropic phase-field crystal on a cone geometry. The second most important is the code for analyzing the simulation results, including the spatial distribution of Y-junctions in the simulated retinae. Included are simulation results in which we systematically scan both the undercooling parameters and the strength of noise in the initial conditions. Finally, we include an additional simulation example (as in Figure 7D). Please see readme file for description of main (MATLAB) functions used for simulating and analyzing simulations.
    Keyword:
    zebrafish cone mosaic, topological defects, grain boundaries, and phase-field crystal model
    Citation to related publication:
    Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky bioRxiv 806679; doi:  https://doi.org/10.1101/806679 and Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky PLoS Comput Biol. 2020 (under review)
    Discipline:
    Science
    Title:
    Code and example simulations of phase-field crystal model (for cone mosaic formation)

  • Code and accompanying input data for simulating lateral inhibition on motionless cell packing

    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    This dataset includes an example cell packing (containing ~20,000 cells). This example cell packing is the same cell packing in Supplementary Figure 11. The Corson_PBC_Square_Sweep_func.m is the main function for simulating lateral inhibition on this (and other) example packings. Please see readme for which simulation parameters may be tuned within this lateral inhibition function.
    Keyword:
    tissue patterning, lateral inhibition, and topological defect
    Citation to related publication:
    Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. PLoS Comput Biol. 2020 (under review), Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. bioRxiv 806679; doi:  https://doi.org/10.1101/806679, and Corson F, Couturier L, Rouault H, Mazouni K, Schweisguth F. Self-organized Notch dynamics generate stereotyped sensory organ patterns in Drosophila. Science. 2017 May 5;356(6337):eaai7407. doi: 10.1126/science.aai7407. Epub 2017 Apr 6. PMID: 28386027.
    Discipline:
    Science
    Title:
    Code and accompanying input data for simulating lateral inhibition on motionless cell packing

  • Dataset for measuring tendency of Y-junctions to line up into grain boundaries during incorporation into retinae

    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    This dataset contains images of UV cone nuclei near the retinal margin in live fish. These UV cones express a transgenic fluorescent reporter (that is nuclear-localized and photoconvertible). The most important images in this dataset are: Zoomed-out (1X magnification) images immediately after photoconversion Zoomed-out (1X magnification) images two to four days after photoconversion In the images immediately after photoconversion, we check if the row orientation rotates by more than a certain amount (10 degrees, 12 degrees, 14 degrees, etc.) at the retinal margin. If so, we call the region coinciding with this domain rotation an existing grain boundary. We, then, check where new Y-junctions are incorporated (by the time of later imaging) to see if they are preferentially incorporated near existing grain boundaries.
    Keyword:
    zebrafish cone mosaic, topological defects, tissue patterning, grain boundaries, and photoconversion
    Citation to related publication:
    Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. PLoS Comput Biol. 2020 (under review) and Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. bioRxiv 806679; doi:  https://doi.org/10.1101/806679
    Discipline:
    Science
    Title:
    Dataset for measuring tendency of Y-junctions to line up into grain boundaries during incorporation into retinae

  • Dataset for analyzing Y-junction motion in live fish retinae

    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    This dataset contains images of UV cone nuclei (labelled by transgenic expression of a photoconvertible fluorescent protein) near the retinal margin in live fish. The most important images in the dataset are the following: 1. Images (at 4X magnification) of UV cones immediately after photoconversion of a patch near the retinal margin 2. Images (at 4X magnification) of UV cones 2-4 days after photoconversion of a patch near the retinal margin Also, included is code for calculating triangulations (which connect UV cone nuclei which are nearest neighbors). This code allows us to check for motion of UV cones relative to each other between the time of photoconversion and subsequent imaging.
    Keyword:
    zebrafish cone mosaic, topological defects, tissue patterning, grain boundaries, photoconversion, and defect motion
    Citation to related publication:
    Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. PLoS Comput Biol. 2020 (under review) and Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. bioRxiv 806679; doi:  https://doi.org/10.1101/806679
    Discipline:
    Science
    Title:
    Dataset for analyzing Y-junction motion in live fish retinae

  • Dataset for calculating lattice vectors (and anisotropy) of zebrafish cone mosaic

    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    This dataset contains images of UV cone nuclei near the retinal margin in live zebrafish. These UV cone nuclei are labelled by transgenic expression of a fluorescent reporter (that is photoconvertible). The most important data are: 1. The zoomed-in (4X magnification) images of UV cone nuclei immediately after photoconversion 2. The zoomed-in (4X magnification) images of UV cone nuclei 2-4 days after photoconversion Also included is code for segmenting UV cone nuclei (both in image from immediately after photoconversion and in image from days later) and for shifting and rotating the two images to maximally align corresponding UV cone nuclei. After aligning corresponding UV cones, we compute triangulations over UV cone nuclei positions (for both images) and identify bonds that are common to both images. We use these common bonds to calculate the lattice vectors for the UV cone lattice.
    Keyword:
    zebrafish cone mosaic, tissue patterning, lattice vectors, and photoconversion
    Citation to related publication:
    Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. PLoS Comput Biol. 2020 (under review) and Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. bioRxiv 806679; doi:  https://doi.org/10.1101/806679
    Discipline:
    Science
    Title:
    Dataset for calculating lattice vectors (and anisotropy) of zebrafish cone mosaic

  • Set of images for Figures 1 and 2 and 6 and Supplementary Figure 7

    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    This dataset contains images of dissected and fixed retinae in which cones of specific subtypes are labeled either by transgenic expression of a fluorescent reporter or by antibody staining (Figures 1 and 2 and 6A and Supplementary Figure 7A). This dataset also contains images of dissected and fixed retinae in ZO1 is immunostained (Figure 6C-E and Supplementary Figure 7B). Please see the readme file for which files correspond to which figures.
    Keyword:
    zebrafish cone mosaic, topological defects, and tissue patterning
    Citation to related publication:
    Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. bioRxiv 806679; doi:  https://doi.org/10.1101/806679 and Hayden Nunley, Mikiko Nagashima, Kamirah Martin, Alcides Lorenzo Gonzalez, Sachihiro C. Suzuki, Declan Norton, Rachel O. L. Wong, Pamela A. Raymond, David K. Lubensky. Defect patterns on the curved surface of fish retinae suggest mechanism of cone mosaic formation. PLoS Comput Biol. 2020 (under review)
    Discipline:
    Science
    Title:
    Set of images for Figures 1 and 2 and 6 and Supplementary Figure 7

  • Defect patterns on the curved surface of fish retinae suggest a mechanism of cone mosaic formation

    User Collection
    Creator:
    Nunley, Hayden, Nagashima, Mikiko, Martin, Kamirah, Lorenzo Gonzalez, Alcides, Suzuki, Sachihiro C., Norton, Declan A., Wong, Rachel O. L., Raymond, Pamela A., and Lubensky, David K.
    Description:
    The outer epithelial layer of zebrafish retinae contains a crystalline array of cone photoreceptors, called the cone mosaic. As this mosaic grows by mitotic addition of new photoreceptors at the rim of the hemispheric retina, topological defects, called “Y-Junctions”, form to maintain approximately constant cell spacing. The generation of topological defects due to growth on a curved surface is a distinct feature of the cone mosaic not seen in other well-studied biological patterns like the R8 photoreceptor array in the _ Drosophila compound eye. Since defects can provide insight into cell-cell interactions responsible for pattern formation, here we characterize the arrangement of cones in individual Y-Junction cores (see Set of images for Figures 1 and 2 and 6 and Supplementary Figure 7) as well as the spatial distribution of Y-junctions across entire retinae (see Dataset for analyzing spatial distribution of Y-junctions in flat-mounted retinae). We find that for individual Y-junctions, the distribution of cones near the core corresponds closely to structures observed in physical crystals (see Set of images for Figures 1 and 2 and 6 and Supplementary Figure 7). In addition, Y-Junctions are organized into lines, called grain boundaries, from the retinal center to the periphery (see Dataset for analyzing spatial distribution of Y-junctions in flat-mounted retinae and Dataset for measuring tendency of Y-junctions to line up into grain boundaries during incorporation into retinae). In physical crystals, regardless of the initial distribution of defects, defects can coalesce into grain boundaries via the mobility of individual particles. By imaging in live fish, we demonstrate that grain boundaries in the cone mosaic instead appear during initial mosaic formation, without requiring defect motion (see Dataset for measuring tendency of Y-junctions to line up into grain boundaries during incorporation into retinae and Dataset for analyzing Y-junction motion in live fish retinae). Motivated by this observation, we show that a computational model of repulsive cell-cell interactions generates a mosaic with grain boundaries (see Code and example simulations of phase-field crystal model (for cone mosaic formation)). In contrast to paradigmatic models of fate specification in mostly motionless cell packings (see Code and accompanying input data for simulating lateral inhibition on motionless cell packing), this finding emphasizes the role of cell motion, guided by cell-cell interactions during differentiation, in forming biological crystals. Such a route to the formation of regular patterns may be especially valuable in situations, like growth on a curved surface, where the resulting long-ranged, elastic, effective interactions between defects can help to group them into grain boundaries.
    Keyword:
    zebrafish cone mosaic, lattice vectors, topological defects, tissue patterning, grain boundaries, lateral inhibition, photoconversion, phase-field crystal model, and defect motion
    Discipline:
    Science
    7Works