Transcriptomic analysis across nasal, temporal, and macular regions of human neural retina and RPE/choroid by RNA-Seq
Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known abo...
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Published in | Experimental eye research Vol. 129; pp. 93 - 106 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.12.2014
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Subjects | |
Online Access | Get full text |
ISSN | 0014-4835 1096-0007 1096-0007 |
DOI | 10.1016/j.exer.2014.11.001 |
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Abstract | Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known about the distribution of cell types in the retina, the distribution of molecular components across the posterior pole of the eye has not been well-studied. To investigate regional difference in molecular composition of ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. RNA from temporal, macular, and nasal retina and RPE/choroid from four human donor eyes was extracted, poly-A selected, fragmented, and sequenced as 100 bp read pairs. Digital read files were mapped to the human genome and analyzed for differential expression using the Tuxedo software suite. Retina and RPE/choroid samples were clearly distinguishable at the transcriptome level. Numerous transcription factors were differentially expressed between regions of the retina and RPE/choroid. Photoreceptor-specific genes were enriched in the peripheral samples, while ganglion cell and amacrine cell genes were enriched in the macula. Within the RPE/choroid, RPE-specific genes were upregulated at the periphery while endothelium associated genes were upregulated in the macula. Consistent with previous studies, BEST1 expression was lower in macular than extramacular regions. The MAK gene was expressed at lower levels in macula than in extramacular regions, but did not exhibit a significant difference between nasal and temporal retina. The regional molecular distinction is greatest between macula and periphery and decreases between different peripheral regions within a tissue. Datasets such as these can be used to prioritize candidate genes for possible involvement in retinal diseases with regional phenotypes.
•We examined gene expression in temporal, macular, and nasal regions of human retina and RPE/choroid using RNA-Seq.•Expression differences between macula and periphery in both tissues reflect the distribution of cell types.•Nasal and temporal regions of neural retina are indistinguishable in our analysis. |
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AbstractList | Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known about the distribution of cell types in the retina, the distribution of molecular components across the posterior pole of the eye has not been well-studied. To investigate regional difference in molecular composition of ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. RNA from temporal, macular, and nasal retina and RPE/choroid from four human donor eyes was extracted, poly-A selected, fragmented, and sequenced as 100 bp read pairs. Digital read files were mapped to the human genome and analyzed for differential expression using the Tuxedo software suite. Retina and RPE/choroid samples were clearly distinguishable at the transcriptome level. Numerous transcription factors were differentially expressed between regions of the retina and RPE/choroid. Photoreceptor-specific genes were enriched in the peripheral samples, while ganglion cell and amacrine cell genes were enriched in the macula. Within the RPE/choroid, RPE-specific genes were upregulated at the periphery while endothelium associated genes were upregulated in the macula. Consistent with previous studies, BEST1 expression was lower in macular than extramacular regions. The MAK gene was expressed at lower levels in macula than in extramacular regions, but did not exhibit a significant difference between nasal and temporal retina. The regional molecular distinction is greatest between macula and periphery and decreases between different peripheral regions within a tissue. Datasets such as these can be used to prioritize candidate genes for possible involvement in retinal diseases with regional phenotypes. Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known about the distribution of cell types in the retina, the distribution of molecular components across the posterior pole of the eye has not been well-studied. To investigate regional difference in molecular composition of ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. RNA from temporal, macular, and nasal retina and RPE/choroid from four human donor eyes was extracted, poly-A selected, fragmented, and sequenced as 100 bp read pairs. Digital read files were mapped to the human genome and analyzed for differential expression using the Tuxedo software suite. Retina and RPE/choroid samples were clearly distinguishable at the transcriptome level. Numerous transcription factors were differentially expressed between regions of the retina and RPE/choroid. Photoreceptor-specific genes were enriched in the peripheral samples, while ganglion cell and amacrine cell genes were enriched in the macula. Within the RPE/choroid, RPE-specific genes were upregulated at the periphery while endothelium associated genes were upregulated in the macula. Consistent with previous studies, BEST1 expression was lower in macular than extramacular regions. The MAK gene was expressed at lower levels in macula than in extramacular regions, but did not exhibit a significant difference between nasal and temporal retina. The regional molecular distinction is greatest between macula and periphery and decreases between different peripheral regions within a tissue. Datasets such as these can be used to prioritize candidate genes for possible involvement in retinal diseases with regional phenotypes. •We examined gene expression in temporal, macular, and nasal regions of human retina and RPE/choroid using RNA-Seq.•Expression differences between macula and periphery in both tissues reflect the distribution of cell types.•Nasal and temporal regions of neural retina are indistinguishable in our analysis. Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase ( MAK) -associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known about the distribution of cell-types in the retina, the distribution of molecular components across the posterior pole of the eye has not been well-studied. To investigate regional difference in molecular composition of ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. RNA from temporal, macular, and nasal retina and RPE/choroid from four human donor eyes was extracted, poly-A selected, fragmented, and sequenced as 100 bp read pairs. Digital read files were mapped to the human genome and analyzed for differential expression using the Tuxedo software suite. Retina and RPE/choroid samples were clearly distinguishable at the transcriptome level. Numerous transcription factors were differentially expressed between regions of the retina and RPE/choroid. Photoreceptor-specific genes were enriched in the peripheral samples, while ganglion cell and amacrine cell genes were enriched in the macula. Within the RPE/choroid, RPE-specific genes were upregulated at the periphery while endothelium associated genes were upregulated in the macula. Consistent with previous studies, BEST1 expression was lower in macular than extramacular regions. The MAK gene was expressed at lower levels in macula than in extramacular regions, but did not exhibit a significant difference between nasal and temporal retina. The regional molecular distinction is greatest between macula and periphery and decreases between different peripheral regions within a tissue. Datasets such as these can be used to prioritize candidate genes for possible involvement in retinal diseases with regional phenotypes. Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known about the distribution of cell types in the retina, the distribution of molecular components across the posterior pole of the eye has not been well-studied. To investigate regional difference in molecular composition of ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. RNA from temporal, macular, and nasal retina and RPE/choroid from four human donor eyes was extracted, poly-A selected, fragmented, and sequenced as 100 bp read pairs. Digital read files were mapped to the human genome and analyzed for differential expression using the Tuxedo software suite. Retina and RPE/choroid samples were clearly distinguishable at the transcriptome level. Numerous transcription factors were differentially expressed between regions of the retina and RPE/choroid. Photoreceptor-specific genes were enriched in the peripheral samples, while ganglion cell and amacrine cell genes were enriched in the macula. Within the RPE/choroid, RPE-specific genes were upregulated at the periphery while endothelium associated genes were upregulated in the macula. Consistent with previous studies, BEST1 expression was lower in macular than extramacular regions. The MAK gene was expressed at lower levels in macula than in extramacular regions, but did not exhibit a significant difference between nasal and temporal retina. The regional molecular distinction is greatest between macula and periphery and decreases between different peripheral regions within a tissue. Datasets such as these can be used to prioritize candidate genes for possible involvement in retinal diseases with regional phenotypes.Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known about the distribution of cell types in the retina, the distribution of molecular components across the posterior pole of the eye has not been well-studied. To investigate regional difference in molecular composition of ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. RNA from temporal, macular, and nasal retina and RPE/choroid from four human donor eyes was extracted, poly-A selected, fragmented, and sequenced as 100 bp read pairs. Digital read files were mapped to the human genome and analyzed for differential expression using the Tuxedo software suite. Retina and RPE/choroid samples were clearly distinguishable at the transcriptome level. Numerous transcription factors were differentially expressed between regions of the retina and RPE/choroid. Photoreceptor-specific genes were enriched in the peripheral samples, while ganglion cell and amacrine cell genes were enriched in the macula. Within the RPE/choroid, RPE-specific genes were upregulated at the periphery while endothelium associated genes were upregulated in the macula. Consistent with previous studies, BEST1 expression was lower in macular than extramacular regions. The MAK gene was expressed at lower levels in macula than in extramacular regions, but did not exhibit a significant difference between nasal and temporal retina. The regional molecular distinction is greatest between macula and periphery and decreases between different peripheral regions within a tissue. Datasets such as these can be used to prioritize candidate genes for possible involvement in retinal diseases with regional phenotypes. |
Author | Tucker, Budd A. Wagner, Alex H. Zeng, Shemin Stone, Edwin M. Braun, Terry A. Scheetz, Todd E. Drack, Arlene V. Whitmore, S. Scott DeLuca, Adam P. Mullins, Robert F. |
AuthorAffiliation | c Department of Biomedical Engineering, College of Engineering, The University of Iowa, Iowa City, IA, USA a Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA b Department of Ophthalmology and Visual Sciences, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA |
AuthorAffiliation_xml | – name: a Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – name: b Department of Ophthalmology and Visual Sciences, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA – name: c Department of Biomedical Engineering, College of Engineering, The University of Iowa, Iowa City, IA, USA |
Author_xml | – sequence: 1 givenname: S. Scott orcidid: 0000-0003-0161-9625 surname: Whitmore fullname: Whitmore, S. Scott email: steven-whitmore@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 2 givenname: Alex H. surname: Wagner fullname: Wagner, Alex H. email: alex-wagner@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 3 givenname: Adam P. surname: DeLuca fullname: DeLuca, Adam P. email: adam-deluca@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 4 givenname: Arlene V. surname: Drack fullname: Drack, Arlene V. email: arlene-drack@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 5 givenname: Edwin M. surname: Stone fullname: Stone, Edwin M. email: edwin-stone@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 6 givenname: Budd A. surname: Tucker fullname: Tucker, Budd A. email: budd-tucker@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 7 givenname: Shemin surname: Zeng fullname: Zeng, Shemin email: shemin-zeng@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 8 givenname: Terry A. surname: Braun fullname: Braun, Terry A. email: terry-braun@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 9 givenname: Robert F. surname: Mullins fullname: Mullins, Robert F. email: robert-mullins@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA – sequence: 10 givenname: Todd E. surname: Scheetz fullname: Scheetz, Todd E. email: todd-scheetz@uiowa.edu organization: Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA |
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Copyright | 2014 The Authors Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved. 2014 The Authors. Published by Elsevier Ltd. 2014 |
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Keywords | Macular degeneration RNA-Seq Retinitis pigmentosa RPE Transcriptome Retina Choroid Gene expression |
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SubjectTerms | Aged Aged, 80 and over Choroid Female Gene expression Gene Expression Profiling Humans Macula Lutea - metabolism Macula Lutea - pathology Macular degeneration Male Pigment Epithelium of Eye - metabolism Pigment Epithelium of Eye - pathology Retina Retinal Diseases - genetics Retinal Diseases - metabolism Retinal Diseases - pathology Retinitis pigmentosa RNA, Messenger - genetics RNA-Seq RPE Transcriptome |
Title | Transcriptomic analysis across nasal, temporal, and macular regions of human neural retina and RPE/choroid by RNA-Seq |
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