Literature DB >> 19247458

Modulation of retinal capillary endothelial cells by Müller glial cell-derived factors.

Hayato Abukawa1, Masatoshi Tomi, Jumpei Kiyokawa, Satoko Hori, Tetsu Kondo, Tetsuya Terasaki, Ken-Ichi Hosoya.   

Abstract

PURPOSE: The inner blood-retinal barrier (BRB) is a gliovascular unit in which macroglial cells surround capillary endothelial cells and regulate retinal capillaries by paracrine interactions. The purpose of the present study was to identify genes of retinal capillary endothelial cells whose expression is modulated by Müller glial cell-derived factors.
METHODS: Conditionally immortalized rat retinal capillary endothelial (TR-iBRB2) and Müller (TR-MUL5) cell lines were chosen as an in vitro model. TR-iBRB2 cells were incubated with conditioned medium of TR-MUL5 (MUL-CM) for 24 h and subjected to microarray and quantitative real-time PCR analysis.
RESULTS: TR-MUL5 cell-derived factors increased alkaline phosphatase activity in TR-iBRB2 cells, indicating that paracrine interactions occurred between TR-iBRB2 and TR-MUL5 cells. Microarray analysis demonstrated that MUL-CM treatment leads to a modulation of several genes including an induction of plasminogen activator inhibitor 1 (PAI-1) and a suppression of an inhibitor of DNA binding 2 (Id2) in TR-iBRB2 cells. Treatment with TGF-beta1, which is incorporated in MUL-CM, also resulted in an induction of PAI-1 and a suppression of Id2 in TR-iBRB2 cells.
CONCLUSIONS: In vitro inner BRB model study revealed that Müller glial cell-derived factors modulate endothelial cell functions including the induction of anti-angiogenic PAI-1 and the suppression of pro-angiogenic Id2. Therefore, Müller cells appear to be one of the modulators of retinal angiogenesis.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19247458      PMCID: PMC2647974     

Source DB:  PubMed          Journal:  Mol Vis        ISSN: 1090-0535            Impact factor:   2.367


Introduction

The inner blood-retinal barrier (inner BRB) is a selectively permeable interface between the circulating blood and neural retina. It is essential for the maintenance of neural functions, since dysfunction of the inner BRB is closely involved in many retinal disorders including diabetic retinopathy [1,2]. The inner BRB is formed by retinal capillary endothelial cells that exhibit several distinctive characteristics, such as tight junctions and lack of fenestrations to restrict nonspecific transport. Transporters at the inner BRB play essential roles in supplying nutrients and are also responsible for the efflux of neurotransmitters and their metabolites. The inner BRB has been proposed to be a gliovascular unit, in which macroglial cells surround retinal pericytes and capillary endothelial cells and regulate retinal capillaries by paracrine interactions [3,4]. The vascularized retina of primates and rodents contains two types of macroglial cells: Müller cells and astrocytes. Müller cells are distributed radially across all retinal layers, whereas astrocytes are found only on the vitreal side of the retina, within the nerve fiber and ganglion cell layers. An in vivo study demonstrated that implantation of cultured Müller cells into the anterior chamber of the rat eye induces vessels associated with implanted Müller cells to become impermeable to albumin and horseradish peroxidase [5]. In vitro studies have shown that the permeability of bovine retinal vascular endothelial cells is reduced by conditioned medium from Müller cells [6,7] but is increased by matrix metalloproteinase 9 (MMP9), the release of which from bovine retinal vascular endothelial cells is stimulated by direct contact with astrocyte and Müller cells [8]. However, the physiologic role and mechanism of the gliovascular unit at the inner BRB is only beginning to be understood. The purpose of the present study was to identify differently expressed genes of retinal capillary endothelial cells in response to Müller cell-derived factors by performing a microarray analysis, which allows the detection of over 15,000 transcripts. Conditionally immortalized rat retinal capillary endothelial (TR-iBRB2) and Müller (TR-MUL5) cell lines were chosen as an in vitro model, since these cell lines maintain certain in vivo functions and are of the same maturational stage, strain, and genetic background [9,10]. Using these culture cell lines, it is possible to overcome problems posed by contamination by other types of cells, species differences, and the limited size of the organs.

Methods

Cell culture

TR-iBRB2 cells are a conditionally immortalized rat retinal capillary endothelial cell line and TR-MUL5 cells are a conditionally immortalized rat retinal Müller cell line. Both cell lines were established from transgenic rats harboring a temperature-sensitive SV 40 large T-antigen gene [9,10]. TR-iBRB2 cells possess endothelial markers and facilitative glucose transporter 1, P-glycoprotein, creatine transporter, and L-type amino acid transporter 1 that are expressed at the inner BRB in vivo [10-12]. TR-MUL5 cells possess typical Müller cell markers, such as S-100, glutamine synthetase, and excitatory amino acid transporter 1 [9,13,14]. These cell lines were cultured in Dulbecco’s modified Eagle’s medium (DMEM; Nissui Pharmaceuticals, Tokyo, Japan) supplemented with 10% fetal bovine serum (FBS; Moregate, Bulimbra, Australia) at 33 °C in a humidified atmosphere of 5% CO2/air. The permissive temperature for these cell lines to be cultured was 33 °C, due to the presence of temperature-sensitive SV40 large T-antigen. TR-iBRB2 cells were seeded onto a rat tail collagen type I-coated tissue culture dish (BD Biosciences, Bedford, MA).

Interaction with TR-MUL5 cells and TGF-β1

In the transfilter co-culture, TR-MUL5 cells were seeded on the backside membrane of a rat tail collagen type I-coated cell culture insert (pore side: 3.0 μm, BD Biosciences) (Figure 1A). After a 24 h culture, the insert was transferred to a six well tissue culture plate. TR-iBRB2 cells were seeded on the upper side of the insert and were co-cultured for 6 days.
Figure 1

In vitro cell culture models. These models were used for analyzing paracrine interactions between retinal capillary endothelial and Müller cells. A: In the transfilter co-culture, TR-MUL5 cells were situated on the basolateral aspect of TR-iBRB2 cells monolayer as might occur in vivo. B: The fivefold concentrated conditioned medium of TR-MUL5 cells (MUL-CM) was applied to TR-iBRB2 cells.

In vitro cell culture models. These models were used for analyzing paracrine interactions between retinal capillary endothelial and Müller cells. A: In the transfilter co-culture, TR-MUL5 cells were situated on the basolateral aspect of TR-iBRB2 cells monolayer as might occur in vivo. B: The fivefold concentrated conditioned medium of TR-MUL5 cells (MUL-CM) was applied to TR-iBRB2 cells. Conditioned medium of TR-MUL5 cells was prepared by incubating 4 ml of serum-free DMEM with TR-MUL5 cells for 24 h onto a 100 mm tissue culture dish (Figure 1B) [15,16]. The conditioned medium was passed through a 0.22 μm filter, concentrated up to 20 fold in a Centriprep or a Microcon (3 kDa cut-off; Millipore, Billerica, MA), and then stored at −20 °C until required. The conditioned medium was adjusted to fivefold concentrated conditioned medium of TR-MUL5 cells (MUL-CM) by diluting the 20 fold concentrated conditioned medium with serum-free DMEM. TR-iBRB2 cells were then treated with MUL-CM or 2 ng/ml of recombinant human transforming growth factor β1 (TGF-β1; R&D Systems, Minneapolis, MN), which shows 111/112 amino acid sequence identity with rat TGF-β1, for 24 h. It is demonstrated that 2 ng/ml human TGF-β increased MMP9 activity and the permeability of primary cultures of bovine retinal endothelial cells. Therefore, we chose the 2 ng/ml as a concentration of TGF-β1.

Alkaline phosphatase activity

The alkaline phosphatase activity in TR-iBRB2 cells was measured using an alkaline phosphatase test kit (Wako Pure Chemicals, Osaka, Japan) according to the manufacturer’s protocol. Briefly, TR-iBRB2 cells were dissolved in phosphate buffered saline (PBS; 137 mM NaCl, 8.10 mM Na2HPO4, 2.68 mM KCl, and 1.47 mM KH2PO4) containing 0.5% Triton-X. Cell lysate was mixed with p-nitrophenyl phosphate in reaction buffer (pH 9.8) and was incubated at 37 °C for 15 min. p-Nitrophenyl phosphate is hydrolyzed into p-nitrophenol in the presence of alkaline phosphatase. Subsequently, the reaction was terminated by adding NaOH and the absorbance was measured at 405 nm. Protein concentrations were determined using a DC protein assay kit (Bio-Rad, Hercules, CA).

Microarray

A GeneChip Rat Expression Array 230A (Affymetrix, Santa Clara, CA), which consists of 15,866 probe sets, was used in this experiment. Total cellular RNA was extracted from TR-iBRB2 cells using an RNeasy kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocol. Poly(A)+ RNA was purified from total cellular RNA using Oligotex-dT30 super (Takara, Shiga, Japan) and cleaned by phenol/chloroform extraction. A T7-(dT)24 oligomer, superscript reverse transcriptase II, and DNA Polymerase I (Invitrogen, Carlsbad, CA) were used for first-strand and second-strand cDNA synthesis using Poly(A)+ RNA as templates. Double-stranded cDNA was cleaned with Phase Lock Gels-Phenol/Chloroform extraction and ethanol precipitation. Biotin-labeled antisense cRNA was produced by an in vitro transcription reaction (Enzo BioArray High Yield RNA Transcript Labeling Kit; Affymetrix) and incubated with fragmentation buffer. Fragmented biotin-labeled antisense cRNA was hybridized to the GeneChip in a GeneChip hybridization oven (Affymetrix). The hybridized GeneChip was washed and stained using a GeneChip fluidics station 400 (Affymetrix) and was then scanned by a GeneChip scanner (Affymetrix). The definitions of presence and absence of gene expression were defined by the Affymetrix GCOS 1.2 statistical algorithm. Gene expression analyses, including global normalization and scaling, were performed using the Affymetrix GCOS 1.2, Array Assist 3.01 software.

Immunoblot analysis

Protein concentrations of MUL-CM were determined using a DC protein assay kit. The MUL-CM was mixed with sample buffer composed of 2% sodium dodecyl sulfate (SDS), 50 mM Tris-HCl (pH 6.8), 10% glycerol, 6% 2-mercaptoethanol, and 0.01% bromophenol blue. The mixture was heated for 10 min at 95 °C. Next, 100 μg protein of MUL-CM was electrophoresed on an SDS-polyacrylamide gel and, subsequently, electrotransferred to a polyvinylidene difluoride membrane. Following incubation with blocking agent solution (Block Ace; Dainihon Pharmaceutical, Osaka, Japan), the membranes were incubated with 1:300 mouse monoclonal anti-TGF-β1 antibody (R&D Systems) for 16 h at 4 °C. The membranes were subsequently incubated with horseradish peroxidase conjugated anti-mouse IgG. The bands were visualized using an enhanced chemiluminescence kit (GE Healthcare, Piscataway, NJ).

Quantitative real-time PCR

Quantitative real-time polymerase chain reaction (PCR) was performed using an ABI PRISM 7700 sequence detector system (Applied Biosystems, Foster City, CA) with 2×5 ml SYBR Green PCR Master Mix (Applied Biosystems) according to the manufacturer’s protocol. Single-strand cDNA was made from total cellular RNA by reverse transcription (RT) using oligo dT primer. The control lacking the RT enzyme was assayed in parallel to monitor any possible genomic contamination. To quantify the amount of specific mRNA in the samples, we generated a standard curve for each run using the plasmid (pGEM-T Easy Vector; Promega, Madison, WI) containing the gene of interest. This enabled standardization of the initial mRNA content of cells relative to the amount of β-actin. The PCR was performed with plasminogen activator inhibitor 1 (PAI-1), inhibitor of DNA binding 2 (Id2), or β-actin specific primers (Table 1) through 40 cycles of 94 °C for 30 s, 60 °C for 30 s, and 72 °C for 1 min. The PCR products were separated by electrophoresis on an agarose gel and visualized under ultraviolet light to confirm the specificity of the primers for the target gene.
Table 1

Oligonucleotide primers used for PCR amplification of cDNAs.

Target mRNAAccession numberPrimers (5′-3′)Product size
PAI-1
NM_012620
F: GAGGATGAAAGAAACAGCCAGCT
145 bp
R: CCCGCTATGAAATTAGATTCACGT
Id2
NM_013060
F: ATGAAAGCCTTCAGTCCGGTGAG
405 bp
R: TTAGCCACAGAGTACTTTGCTGTCA
β-actinNM_031144F: TCATGAAGTGTGACGTTGACATCCGT
285 bp
R: CCTAGAAGCATTTGCGGTGCACGATG

Primers were used for the determination of mRNA expression levels in TR-iBRB2 cells by quantitative real-time PCR analysis.

Primers were used for the determination of mRNA expression levels in TR-iBRB2 cells by quantitative real-time PCR analysis.

Data analysis

Unless otherwise indicated, all data represent mean±SEM. An unpaired, two-tailed Student's t-test was used to determine the significance of differences between two groups. Statistical significance of differences among means of several groups was determined by one-way ANOVA followed by the modified Fisher's least-squares difference method.

Results

Alkaline phosphatase in endothelial cells is induced by glial cells [17,18]. To determine whether interactions occur between TR-iBRB2 cells and TR-MUL5 cells, we examined the effects of transfilter co-culture with TR-MUL5 cells and soluble factors secreted from TR-MUL5 cells on the activity of alkaline phosphatase in TR-iBRB2 cells. In the transfilter co-culture, TR-MUL5 cells were situated on the basolateral aspect of the TR-iBRB2 cell monolayer as might occur in vivo (Figure 1A) and cells were cocultured for six days. The effect of soluble factors secreted from TR-MUL5 cells were examined by culturing TR-iBRB2 cells in fivefold concentrated conditioned medium of TR-MUL5 cells (MUL-CM) for 24 h (Figure 1B). As shown in Figure 2, alkaline phosphatase activity in TR-iBRB2 cells was significantly increased to 153% by coculture with TR-MUL5 cells and 222% by coculture with MUL-CM cells.
Figure 2

Alkaline phosphatase activity in TR-iBRB2 cells. Effects of transfilter co-culture with TR-MUL5 cells (A) and soluble factors secreted from TR-MUL5 cells (B) on the activity of alkaline phosphatase in TR-iBRB2 cells. A: TR-MUL5 cells were situated on the basolateral aspect of TR-iBRB2 cell monolayers as might occur in vivo and cells were co-cultured for six days. B: TR-iBRB2 cells were cultured in the conditioned medium of TR-MUL5 cells (MUL-CM) for 24 h. Each column represents the mean±SEM (n=3). Asterisk represents p<0.01, significantly different from the control.

Alkaline phosphatase activity in TR-iBRB2 cells. Effects of transfilter co-culture with TR-MUL5 cells (A) and soluble factors secreted from TR-MUL5 cells (B) on the activity of alkaline phosphatase in TR-iBRB2 cells. A: TR-MUL5 cells were situated on the basolateral aspect of TR-iBRB2 cell monolayers as might occur in vivo and cells were co-cultured for six days. B: TR-iBRB2 cells were cultured in the conditioned medium of TR-MUL5 cells (MUL-CM) for 24 h. Each column represents the mean±SEM (n=3). Asterisk represents p<0.01, significantly different from the control. To identify genes, the expressions of which are modulated by soluble factors secreted from TR-MUL5 cells, we incubated TR-iBRB2 cells with MUL-CM for 24 h and subjected them to microarray analysis for genome-wide gene expression profiling. We compared the gene expression levels between control and MUL-CM treatment groups and identified genes showing differential expression with at least a threefold change. As shown in Table 2, MUL-CM treatment induced the expression of five genes, namely, myosin heavy chain polypeptide 6 (Myh6), retinol binding protein 1 (Rbp1), metallothionein 1a (Mt1a), ectonucleotide pyrophosphatase/phosphodiesterase 1 (Enpp1), and plasminogen activator inhibitor 1 (PAI-1), and suppressed the expression of an inhibitor of DNA binding 2 (Id2) gene.
Table 2

Genes modulated by TR-MUL5 conditioned medium in TR-iBRB2 cells

GeneAccession numberFold change
Myosin heavy chain polypeptide 6 (Myh6)
NM_017239
16
Retinol binding protein 1 (Rbp1)
NM_012733
5.3
Metallothionein 1a (Mt1a)
NM_138826
5.3
Ectonucleotide pyrophosphatase/phosphodiesterase 1 (Enpp1)
NM_053535
4.9
Plasminogen activator inhibitor 1 (PAI-1)
NM_012620
3.5
Inhibitor of DNA binding 2 (Id2)NM_0130600.23

TR-iBRB2 cells were incubated with MUL-CM for 24 h and subjected them to microarray analysis. We compared the gene expression levels between control and MUL-CM treatment groups and identified genes showing differential expression with at least a threefold change.

TR-iBRB2 cells were incubated with MUL-CM for 24 h and subjected them to microarray analysis. We compared the gene expression levels between control and MUL-CM treatment groups and identified genes showing differential expression with at least a threefold change. PAI-1 and Id2 are anti-angiogenic and pro-angiogenic factors, respectively, but both proteins are regulated by transforming growth factor β (TGF-β) signaling pathways in endothelial cells [19-21]. The expression of TGF-β1 protein in MUL-CM was examined by immunoblot analysis. As shown in Figure 3A, a band around 12.5 kDa was detected in MUL-CM, indicating that TR-MUL5 cells secret TGF-β1 protein. Quantitative real-time PCR analysis was performed to confirm the effect of TGF-β1 on the expression of PAI-1 and Id2 mRNAs in TR-iBRB2 cells (Figures 3B,C). Treatment with 2 ng/ml recombinant human TGF-β1 for 24 h resulted in an increase in PAI-1 mRNA of 520% and a decrease in Id2 mRNA of 93.2%. These data are consistent with TR-iBRB2 cells incubated with MUL-CM for 24 h (122% increase in PAI-1 and 70.8% decrease in Id2).
Figure 3

TGF-β, PAI-1, and Id2 expressions. Expression of TGF-β1 in the conditioned medium of TR-MUL5 cells (MUL-CM) (A) and modulation of PAI-1 (B) and Id2 (C) mRNA expressions by recombinant human TGF-β1 (rhTGF-β1) and MUL-CM in TR-iBRB2 cells. A: The expression of TGF-β1 was determined by immunoblot analysis. B, C: The expression levels of PAI-1 and Id2 mRNA were determined by quantitative real-time PCR analysis and normalized to β-actin mRNA expression. Each column represents the mean±SEM (n=4–12). Asterisk represents p<0.01, significantly different from the control.

TGF-β, PAI-1, and Id2 expressions. Expression of TGF-β1 in the conditioned medium of TR-MUL5 cells (MUL-CM) (A) and modulation of PAI-1 (B) and Id2 (C) mRNA expressions by recombinant human TGF-β1 (rhTGF-β1) and MUL-CM in TR-iBRB2 cells. A: The expression of TGF-β1 was determined by immunoblot analysis. B, C: The expression levels of PAI-1 and Id2 mRNA were determined by quantitative real-time PCR analysis and normalized to β-actin mRNA expression. Each column represents the mean±SEM (n=4–12). Asterisk represents p<0.01, significantly different from the control.

Discussion

The present study demonstrated that TR-MUL5 cell-derived factors modulate alkaline phosphatase activity and the expression of several genes including PAI-1 and Id2 in TR-iBRB2 cells. Endothelial cells that are present in the gliovascular unit (e.g., blood-brain barrier [BBB] and inner BRB) are known to be especially abundant in alkaline phosphatase [22]. The observed induction of alkaline phosphatase in TR-iBRB2 cells by TR-MUL5 cell-derived factor (Figure 2) suggested that our cell culture model of the inner BRB is appropriate for the analysis of the paracrine interaction between Müller and retinal capillary endothelial cells. Moreover, both co-culture with TR-MUL5 cells and MUL-CM induced alkaline phosphatase activity in TR-iBRB2 cells (Figure 2), implying that the diffusive signal is predominantly involved in the induction of alkaline phosphatase at the inner BRB. This is consistent with studies using in vitro cell culture models of the BBB, in which a diffusive signal by glia-derived factors, including basic fibroblast growth factor, is suggested to induce endothelial alkaline phosphatase [17,18]. Following treatment with MUL-CM, TR-iBRB2 cells increased the expression of Enpp1 (Table 2). Enpp1 and alkaline phosphatase overlap in phosphatase function as well as act together in the extracellular hydrolysis of ATP to inorganic phosphate [23,24]. Therefore, Enpp1 might contribute the induction of alkaline phosphatase by MUL-CM via its phosphatase activity. Microarray analysis demonstrated that PAI-1 and Id2 in TR-iBRB2 cells are respectively induced and suppressed by MUL-CM (Table 2), which is further confirmed by quantitative real-time PCR analysis (Figure 3). We also demonstrated that PAI-1 and Id2 in TR-iBRB2 cells are respectively induced and suppressed by TGF-β1 (Figures 3B,C), which is seen to be secreted from TR-MUL5 cells (Figure 3A). In agreement with our results, it has already shown that TGF-β is secreted from rat [25] and human [26] Müller cells. These results raise the possibility that Müller cells may modulate retinal angiogenesis by altering its secretion of TGF-β1, although further studies are needed to confirm the involvement of TGF-β1 as a paracrine factor between Müller and endothelial cells. It is also necessary to determine the effect of MUL-CM and TGF-β1 on cell migration and proliferation in TR-iBRB2 cells. Myh6 encodes the cardiac α-myosin heavy chain and its expression is reported to be induced by TGF-β signaling pathways in cardiomyocytes during embryonic heart development [27], but the physiologic significance of Myh6 in retinal endothelial cells still needs to be clarified. Rbp1 in cultured hepatic stellate and fibroblast cells [28,29] and Mt1a in retinal pigment epithelial cells [30] are induced by TGF-β. Rbp1 binds to retinol in the cytoplasm and is involved in the intracellular transport of retinol in a variety of cells including retinal pigment epithelial cells. Mt1a protects cells against oxidative stress and apoptosis in the retina. Enpp1 is induced by TGF-β and bFGF in osteosarcoma cells [31,32]. Therefore, paracrine interactions between Müller and endothelial cells seem to play an important role in modulating several functions, such as intracellular retinol transport and protection against oxidative stress, in retinal capillary endothelial cells. In conclusion, Müller cells appear to act as one of the modulators of retinal angiogenesis and TGF-β may be involved in this modulation. To our knowledge, this is the first report to suggest that Müller cells modulate the expression of PAI-1 and Id2 in retinal endothelial cells. As the number of diabetic patients is increasing throughout the world, acquired blindness in diabetic retinopathy is a serious problem. The current findings offer important information for a better understanding of the mechanism of retinal neovascularization which is a common pathological finding in diabetic retinopathy.
  32 in total

1.  Metallothionein protects retinal pigment epithelial cells against apoptosis and oxidative stress.

Authors:  Huasheng Lu; Diana Margaret Hunt; Ramapriya Ganti; Alberta Davis; Kamla Dutt; Jawed Alam; Richard C Hunt
Journal:  Exp Eye Res       Date:  2002-01       Impact factor: 3.467

2.  A pericyte-derived angiopoietin-1 multimeric complex induces occludin gene expression in brain capillary endothelial cells through Tie-2 activation in vitro.

Authors:  Satoko Hori; Sumio Ohtsuki; Ken-ichi Hosoya; Emi Nakashima; Tetsuya Terasaki
Journal:  J Neurochem       Date:  2004-04       Impact factor: 5.372

Review 3.  Astrocyte-endothelial interactions at the blood-brain barrier.

Authors:  N Joan Abbott; Lars Rönnbäck; Elisabeth Hansson
Journal:  Nat Rev Neurosci       Date:  2006-01       Impact factor: 34.870

4.  Targets of transcriptional regulation by two distinct type I receptors for transforming growth factor-beta in human umbilical vein endothelial cells.

Authors:  Tatsuru Ota; Makiko Fujii; Takashi Sugizaki; Masami Ishii; Keiji Miyazawa; Hiroyuki Aburatani; Kohei Miyazono
Journal:  J Cell Physiol       Date:  2002-12       Impact factor: 6.384

5.  TGF-beta increases retinal endothelial cell permeability by increasing MMP-9: possible role of glial cells in endothelial barrier function.

Authors:  M A Behzadian; X L Wang; L J Windsor; N Ghaly; R B Caldwell
Journal:  Invest Ophthalmol Vis Sci       Date:  2001-03       Impact factor: 4.799

Review 6.  Advances in the cell biology of transport via the inner blood-retinal barrier: establishment of cell lines and transport functions.

Authors:  Ken-ichi Hosoya; Masatoshi Tomi
Journal:  Biol Pharm Bull       Date:  2005-01       Impact factor: 2.233

7.  L-type amino acid transporter 1-mediated L-leucine transport at the inner blood-retinal barrier.

Authors:  Masatoshi Tomi; Masahiko Mori; Masanori Tachikawa; Kazunori Katayama; Tetsuya Terasaki; Ken-ichi Hosoya
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-07       Impact factor: 4.799

8.  Retinal microvessels express less gamma-glutamyl transpeptidase than brain microvessels.

Authors:  L Belloni-Olivi; J P Bressler; G W Goldstein
Journal:  Curr Eye Res       Date:  1992-03       Impact factor: 2.424

9.  Expression of transforming growth factor-beta s and their receptors by human retinal glial cells.

Authors:  T Ikeda; Y Homma; K Nisida; K Hirase; C Sotozono; S Kinoshita; D G Puro
Journal:  Curr Eye Res       Date:  1998-05       Impact factor: 2.424

10.  Blood-to-retina transport of creatine via creatine transporter (CRT) at the rat inner blood-retinal barrier.

Authors:  Toshihisa Nakashima; Masatoshi Tomi; Kazunori Katayama; Masanori Tachikawa; Masahiko Watanabe; Tetsuya Terasaki; Ken-ichi Hosoya
Journal:  J Neurochem       Date:  2004-06       Impact factor: 5.372

View more
  17 in total

1.  Free insulin-like growth factor binding protein-3 (IGFBP-3) reduces retinal vascular permeability in association with a reduction of acid sphingomyelinase (ASMase).

Authors:  Jennifer L Kielczewski; Sergio Li Calzi; Lynn C Shaw; Jun Cai; Xiaoping Qi; Qing Ruan; Lin Wu; Li Liu; Ping Hu; Tailoi Chan-Ling; Robert N Mames; Sue Firth; Robert C Baxter; Patric Turowski; Julia V Busik; Michael E Boulton; Maria B Grant
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-10-21       Impact factor: 4.799

2.  TGF-β signaling is required for maintenance of retinal ganglion cell differentiation and survival.

Authors:  T E Walshe; L L Leach; P A D'Amore
Journal:  Neuroscience       Date:  2011-05-27       Impact factor: 3.590

Review 3.  Müller cells and diabetic retinopathy.

Authors:  Brandon A Coughlin; Derrick J Feenstra; Susanne Mohr
Journal:  Vision Res       Date:  2017-09-05       Impact factor: 1.886

4.  Conditional Müllercell ablation causes independent neuronal and vascular pathologies in a novel transgenic model.

Authors:  Weiyong Shen; Marcus Fruttiger; Ling Zhu; Sook H Chung; Nigel L Barnett; Joshua K Kirk; SoRa Lee; Nathan J Coorey; Murray Killingsworth; Larry S Sherman; Mark C Gillies
Journal:  J Neurosci       Date:  2012-11-07       Impact factor: 6.167

5.  A new CRB1 rat mutation links Müller glial cells to retinal telangiectasia.

Authors:  Min Zhao; Charlotte Andrieu-Soler; Laura Kowalczuk; María Paz Cortés; Marianne Berdugo; Marilyn Dernigoghossian; Francisco Halili; Jean-Claude Jeanny; Brigitte Goldenberg; Michèle Savoldelli; Mohamed El Sanharawi; Marie-Christine Naud; Wilfred van Ijcken; Rosanna Pescini-Gobert; Danielle Martinet; Alejandro Maass; Jan Wijnholds; Patricia Crisanti; Carlo Rivolta; Francine Behar-Cohen
Journal:  J Neurosci       Date:  2015-04-15       Impact factor: 6.167

Review 6.  Role of In Vitro Models for Development of Ophthalmic Delivery Systems.

Authors:  Shallu Kutlehria; Mandip Singh Sachdeva
Journal:  Crit Rev Ther Drug Carrier Syst       Date:  2021       Impact factor: 4.889

7.  NGF upregulates the plasminogen activation inhibitor-1 in neurons via the calcineurin/NFAT pathway and the Down syndrome-related proteins DYRK1A and RCAN1 attenuate this effect.

Authors:  Georgios C Stefos; Ulf Soppa; Mara Dierssen; Walter Becker
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

8.  Chronic insulin treatment of diabetes does not fully normalize alterations in the retinal transcriptome.

Authors:  Georgina V Bixler; Heather D Vanguilder; Robert M Brucklacher; Scot R Kimball; Sarah K Bronson; Willard M Freeman
Journal:  BMC Med Genomics       Date:  2011-05-15       Impact factor: 3.063

9.  Microarray analysis of gene expression in West Nile virus-infected human retinal pigment epithelium.

Authors:  Luis Munoz-Erazo; Ricardo Natoli; Jan Marie Provis; Michelle Catherine Madigan; Nicholas Jonathan Cole King
Journal:  Mol Vis       Date:  2012-03-27       Impact factor: 2.367

Review 10.  The innate immune system in diabetic retinopathy.

Authors:  Warren W Pan; Feng Lin; Patrice E Fort
Journal:  Prog Retin Eye Res       Date:  2021-01-08       Impact factor: 19.704

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.