Literature DB >> 24664749

Analysis of mouse RPE sheet morphology gives discriminatory categories.

Yi Jiang1, X Qi, Micah A Chrenek, Christopher Gardner, Nupur Dalal, Jeffrey H Boatright, Hans E Grossniklaus, John M Nickerson.   

Abstract

We are interested in developing quantitative tools to study retinal pigmented epithelium (RPE) morphology. We want to detect changes in the RPE by strain, disease, genotype, and age. Ultimately these tools should be useful in predicting retinal disease progression. The morphometric data will also help us to understand RPE sheet formation and barrier functions. A clear disruption of the regular cell size and shape appeared in mouse mutants. Aspect ratio and cell area together gave rise to principal components that predicted age and genotype accurately and well before visually obvious damage could be seen.

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Year:  2014        PMID： 24664749      PMCID： PMC4083704          DOI： 10.1007/978-1-4614-3209-8_76

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN： 0065-2598            Impact factor:   2.622


  8 in total

1.  Subretinal delivery and electroporation in pigmented and nonpigmented adult mouse eyes.

Authors:  John M Nickerson; Penny Goodman; Micah A Chrenek; Christiana J Bernal; Lennart Berglin; T Michael Redmond; Jeffrey H Boatright
Journal:  Methods Mol Biol       Date:  2012

2.  CellProfiler: free, versatile software for automated biological image analysis.

Authors:  Michael R Lamprecht; David M Sabatini; Anne E Carpenter
Journal:  Biotechniques       Date:  2007-01       Impact factor: 1.993

Review 3.  Development and role of tight junctions in the retinal pigment epithelium.

Authors:  Lawrence J Rizzolo
Journal:  Int Rev Cytol       Date:  2007

4.  Analysis of the RPE sheet in the rd10 retinal degeneration model.

Authors:  Micah A Chrenek; Nupur Dalal; Christopher Gardner; Hans Grossniklaus; Yi Jiang; Jeffrey H Boatright; John M Nickerson
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

5.  High-resolution images of retinal structure in patients with choroideremia.

Authors:  Reema Syed; Sanna M Sundquist; Kavitha Ratnam; Shiri Zayit-Soudry; Yuhua Zhang; J Brooks Crawford; Ian M MacDonald; Pooja Godara; Jungtae Rha; Joseph Carroll; Austin Roorda; Kimberly E Stepien; Jacque L Duncan
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-02-01       Impact factor: 4.799

6.  Anti-amyloid therapy protects against retinal pigmented epithelium damage and vision loss in a model of age-related macular degeneration.

Authors:  Jin-Dong Ding; Lincoln V Johnson; Rolf Herrmann; Sina Farsiu; Stephanie G Smith; Marybeth Groelle; Brian E Mace; Patrick Sullivan; Jeffrey A Jamison; Una Kelly; Ons Harrabi; Sangeetha Subbarao Bollini; Jeanette Dilley; Dione Kobayashi; Bing Kuang; Wenlin Li; Jaume Pons; John C Lin; Catherine Bowes Rickman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

7.  In vivo autofluorescence imaging of the human and macaque retinal pigment epithelial cell mosaic.

Authors:  Jessica I W Morgan; Alfredo Dubra; Robert Wolfe; William H Merigan; David R Williams
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-10-24       Impact factor: 4.799

8.  Growth and development of the mouse retinal pigment epithelium. I. Cell and tissue morphometrics and topography of mitotic activity.

Authors:  L Bodenstein; R L Sidman
Journal:  Dev Biol       Date:  1987-05       Impact factor: 3.582
  8 in total
  7 in total

1.  Functional principal component analysis reveals discriminating categories of retinal pigment epithelial morphology in mice.

Authors:  Yi Jiang; Xin Qi; Micah A Chrenek; Christopher Gardner; Jeffrey H Boatright; Hans E Grossniklaus; John M Nickerson
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-11-05       Impact factor: 4.799

2.  RPE Cell and Sheet Properties in Normal and Diseased Eyes.

Authors:  Alia Rashid; Shagun K Bhatia; Karina I Mazzitello; Micah A Chrenek; Qing Zhang; Jeffrey H Boatright; Hans E Grossniklaus; Yi Jiang; John M Nickerson
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

3.  Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy.

Authors:  Nicholas J Schaub; Nathan A Hotaling; Petre Manescu; Sarala Padi; Qin Wan; Ruchi Sharma; Aman George; Joe Chalfoun; Mylene Simon; Mohamed Ouladi; Carl G Simon; Peter Bajcsy; Kapil Bharti
Journal:  J Clin Invest       Date:  2020-02-03       Impact factor: 14.808

4.  Methodologies for analysis of patterning in the mouse RPE sheet.

Authors:  Jeffrey H Boatright; Nupur Dalal; Micah A Chrenek; Christopher Gardner; Alison Ziesel; Yi Jiang; Hans E Grossniklaus; John M Nickerson
Journal:  Mol Vis       Date:  2015-01-15       Impact factor: 2.367

5.  Analysis of RPE morphometry in human eyes.

Authors:  Shagun K Bhatia; Alia Rashid; Micah A Chrenek; Qing Zhang; Beau B Bruce; Mitchel Klein; Jeffrey H Boatright; Yi Jiang; Hans E Grossniklaus; John M Nickerson
Journal:  Mol Vis       Date:  2016-07-30       Impact factor: 2.367

6.  Impaired ABCA1/ABCG1-mediated lipid efflux in the mouse retinal pigment epithelium (RPE) leads to retinal degeneration.

Authors:  Federica Storti; Katrin Klee; Vyara Todorova; Regula Steiner; Alaa Othman; Saskia van der Velde-Visser; Marijana Samardzija; Isabelle Meneau; Maya Barben; Duygu Karademir; Valda Pauzuolyte; Sanford L Boye; Frank Blaser; Christoph Ullmer; Joshua L Dunaief; Thorsten Hornemann; Lucia Rohrer; Anneke den Hollander; Arnold von Eckardstein; Jürgen Fingerle; Cyrille Maugeais; Christian Grimm
Journal:  Elife       Date:  2019-03-13       Impact factor: 8.140

7.  Computational Model-Based Estimation of Mouse Eyeball Structure From Two-Dimensional Flatmount Microscopy Images.

Authors:  Hongxiao Li; Hanyi Yu; Yong-Kyu Kim; Fusheng Wang; George Teodoro; Yi Jiang; John M Nickerson; Jun Kong
Journal:  Transl Vis Sci Technol       Date:  2021-04-01       Impact factor: 3.283
  7 in total

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