Molecular Vision 2007; 13:164-173 <>
Received 14 November 2006 | Accepted 31 January 2007 | Published 2 February 2007

Development of a microarray chip for gene expression in rabbit ocular research

Michael P. Popp,1 Li Liu,1 Adrian Timmers,2 Douglas W. Esson,2,4 Lineu Shiroma,2 Craig Meyers,2 Scott Berceli,5 Ming Tao,5 Graeme Wistow,6 Gregory S. Schultz,2,3 Mark B. Sherwood2,4

1University of Florida's Interdisciplinary Center for Biotechnology Research, 2Department of Ophthalmology, University of Florida, 3University of Florida's Institute for Wound Healing, 4University of Florida's Vision Research Center, and 5Department of Surgery, University of Florida, Gainsville, FL; 6National Eye Institute, National Institutes of Health, Bethesda, MD

Correspondence to: Michael P. Popp, Department of Obstetrics & Gynecology, University of Florida, P.O. Box 100294, Gainesville, FL, 32610-0294; Phone: (352) 392-3945; FAX: (352) 392-2808; email:


Purpose: To develop a microarray for the rabbit that can be used for ocular gene expression research.

Methods: Messenger RNA was isolated from anterior segment tissues (cornea, conjunctiva, and iris) and posterior segment tissues (lens, retina, and sclera) of rabbit eyes and used to create two independent cDNA libraries through the NEIBank project. Clones from each of these libraries were sequenced from both the 5' and 3' ends. These sequences and those from the National Center for Biotechnology Information (NCBI) taxonomy database for rabbit were combined and electronically assembled into a set of unique nonoverlapping continuous sequences (contigs). For each contig, a homology search was performed using BLASTX and BLASTN against both the NCBI NR and NT databases to provide gene annotation. Unique contigs were sent to Agilent Technologies, where 60 base oligonucleotide probes were designed and synthesized, in situ, on two different arrays in an 8 array x 1900 element format. Glaucoma filtration surgery was performed on one eye of six rabbits. After 14 days, tissue was harvested from the conjunctiva and Tenon's capsule of both the surgically treated and untreated control eyes. Total RNA from each sample was labeled with cyanine dyes and hybridized to our custom microarrays.

Results: Of the 3,154 total probes present on the two arrays, 2,522 had a signal value above the background. The expression of 315 genes was significantly altered by glaucoma filtration surgery. Genes whose expression was altered included proteins associated with inflammatory response, defense response, and proteins involved in synthesis of the extracellular matrix.

Conclusions: The results of this rabbit microarray study are consistent with those from other wound healing studies, indicating that this array can provide valid information on broad patterns of gene expression. This is the first microarray available for rabbit studies and is a valuable tool that can be used to study molecular events in the eye.


The rabbit, because of its large eyes, ease of handling, and cost effectiveness, has become a standard ophthalmic animal model for many surgical experiments, such as glaucoma filtration surgery (GFS), as well as for the development of new devices and medical therapies. Over the last five years, microarrays, which can simultaneously evaluate changes in gene expression of thousands of genes and are unparalleled in their utility as a discovery tool, have been extensively used to identify the molecular mechanisms of disease. Microarrays are commercially available for the most common animal models. However, there is no microarray for the rabbit. Furthermore, there is little rabbit sequence in public databases from which a microarray could be developed. In this paper we report the sequencing of rabbit tissues and the development of two rabbit microarrays. To test the biological validity of these microarrays as a research tool, we performed GFS on rabbits and compared the results of this study to other GFS and wound-healing studies.


Rabbit eye cDNA library construction

Eight- to nine-week-old, New Zealand white rabbits were obtained from Myrtle's Rabbitry (Thompsons Station, TN). Animals were treated according to the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research and in compliance with institutional animal use and care guidelines. Eyes from two adult rabbits were dissected and separated into two tissue groups: anterior (cornea, conjunctiva, and iris) and posterior (retina and sclera). Two separate cDNA libraries were constructed using a procedure descibed in reference [1]. Briefly, total RNA was extracted from tissue using RNAzol (Tel-Test Inc., Friendswood, TX) and Poly (A)+ RNA was isolated using an oligo-dT cellulose affinity column. An aliquot of the RNA was run on a denaturing gel, and quality was assessed by the presence of a smooth, mRNA-shaped curve of an appropriate range of fragment size. Oligo-dT primed cDNA was synthesized at Bioserve Biotechnology (Laurel, MD) using the Superscript II system (Invitrogen, Carlsbad CA). The cDNA was run over a Sephacryl S-500 HR column (Invitrogen) to fractionate cDNA larger than 500 bp prior to being directionally cloned in NotI/SalI sites in the pCMVSPORT6 vector (Invitrogen).

cDNA sequencing

Methods for sequencing and bioinformatic analysis are described in detail elsewhere [1,2]. Briefly, randomly picked clones were sequenced from the 5' and 3' ends at the NIH Intramural Sequencing Center (NISC). Grouping and identification of sequence tags (GRIST) were used to analyze and assemble the data [2]. Clusters of sequences were also examined using SeqMan II (DNAstar, Madison, WI) to check assembly of clusters and to examine alternative transcripts. Sequences are available through NEIBank.

Chip fabrication

cDNA sequences from the new rabbit eye libraries were combined with available rabbit sequences from the National Center for Biotechnology Information (NCBI) dbEST database. Paracel Transcript Assembler (PTA; Paracel Inc., Pasadena, CA), which performs a series of sequence cleaning, chimera sequence identification, sequence clustering, and sequence assembly steps, was used to generate a set of nonredundant sequences (contigs) [3]. For each contig, a homology search was performed using the BLASTX and BLASTN application of Paracel BLAST version 1.5.6 (Paracel Inc.) against the NCBI NR and NT databases, respectively. The e-value threshold was set at e-4.

BLAST results were parsed and stored in BlastQuest [4], a SQL database, developed by ICBR that facilitates the management of BLAST results and GeneOntology Consortium (GO) [5] term browsing. AssemblyFilter software, also developed by ICBR, was used to query the top 100 BLAST hits for each contig against the NCBI Gene database, which contains annotation information, including gene function, based on GO terms and metabolic pathway association based on GenMAPP and KEGG pathway database maps [6]. The GO terms and pathway information associated with the lowest e-value and consistent between NR and NT search were assigned to the query assembly. In cases where two contigs mapped to the same gene, the contig assembled from the smaller number of sequences was eliminated to minimize gene redundancy within the entire set of contigs. Finally, AssemblyFilter and ESTScan [7] were used to determine the sequence orientation.

Contigs were submitted to Agilent Technologies (Palo Alto, CA), where a number of probes were designed for each contig with the company's software. Multiple probes were designed for each contig and quality scores, ranging from 1-4, accompanied each designed probe. Due to limited space, we chose to only include one probe per contig and probes with one of the two highest quality scores on the array. Unfortunately, not all the contigs with high quality probes that were designed could fit on the array. All probes with homology to a sequence in the NR database were placed on the arrays. The remainder of the space on the arrays was filled with probes for which we could not find a homologous sequence. Custom arrays were manufactured on glass slides on which 60-base oligonucleotide probes were synthesized in situ with a non-contact printer. Two separate rabbit arrays were manufactured in the eight-pack format (eight individually hybridizable 1.9K arrays per piece of glass). The first set covered 1,577 genes obtained from anterior tissue, while the second set covered 1,577 genes expressed in the posterior tissue. No probe was common to both arrays. Each set of the 1,577 elements included 10 positive and five negative rabbit controls. The remaining elements were Agilent probes for scanner alignment and evaluating dye bias.

Glaucoma filtration surgery

Six eight- to nine-week-old male New Zealand white rabbits were obtained from Charles River Laboratories (Wilmington, MA). Animals were treated according to the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research and in compliance with institutional animal use and care guidelines. GFS was performed using guidelines described in reference [8]. Briefly, the eyelids were retracted using an eyelid speculum. A partial thickness, corneal traction suture was placed in the superior cornea and used to rotate the eye inferiorly. A limbus-based conjunctival flap was fashioned in the superior lateral quadrant of the eye, approximately 8 mm from the limbus. The conjunctiva and Tenon's capsule were undermined by blunt dissection until the limbus was reached. A clear corneal paracentesis tract was made between the 5 and 7 o'clock positions using a Beaver blade (Becton Dickinson & Co., Franklin Lakes, NJ) and a viscoelastic material (Healon® 10 mg/ml, Pharmacia & Upjohn) was injected to maintain the anterior chamber.

Starting close to the limbus, a needle tract tunnel was created through the sclera and into the anterior chamber using a beveled 22G, IV cannula (Insyte®; Becton Dickinson Vascular Access, Sandy, UT). To reduce the risk of later iris obstruction the cannula was positioned so that its orifice was beyond the pupillary margin, following withdrawal of the metal cannula stylus. The distal end of the cannula was then truncated so that its extrascleral portion was about 1mm in length. The cannula was then tethered to the sclera, to prevent dislodgement, with a single, encircling 10-0 nylon suture (Ethicon Inc., Somerville, NJ). The conjunctiva and Tenon's capsule were finally closed in separate layers, in a watertight fashion, using an 8-0 polygalactan (Vicryl®; Ethicon Inc.) attached to a BV needle and a combined neomycin and dexamethasone ointment instilled into the cul-de-sac.

RNA isolation and target labeling

Rabbits were sacrificed 14 days after surgery. An approximate 4x4 mm section of bleb tissue, consisting of conjunctiva and Tenon's capsule was harvested, immediately placed in a 1.5 mL microcentrifuge tube, snap frozen in liquid nitrogen, and stored at -80 °C. Conjunctiva and Tenon's capsule tissue from the control eye was harvested, frozen, and stored in the same manner.

Total RNA was extracted from tissue with an RNeasy® Mini column (Qiagen, Valencia, CA). The quality of each sample was evaluated from a 200 ng aliquot with a 2100 Bioanalyzer (Agilent Technologies). Quality was assessed based on the relative abundance of the 18 and 28s ribosomal bands and on the presence of baseline rise, both of which revealed no RNA degradation. A 400 ng aliquot of total RNA was used as template for complementary DNA (cDNA) synthesis with the Low RNA Input Fluorescent Linear Amplification Kit (Agilent Technologies) according to the manufactures protocol. The subsequent cDNA product served as a template for in vitro transcription (IVT), during which one of two cyanine-labeled nucleotides (Perkin Elmer, Wellesley, MA) was incorporated into the synthesized cRNA. All RNA samples from the control eyes were labeled with cyanine 3-CTP (Cy3) while bleb samples were labeled with cyanine 5-CTP (Cy5). IVT reactions were cleaned with RNeasy® Mini columns (Qiagen), and both cRNA concentration and specific activity were measured with a ND-1000 spectrophotometer (NanoDrop Technologies Wilmington, Delaware). The quality of each cRNA sample was evaluated from a 200 ng aliquot with a 2100 Bioanalyzer (Agilent Technologies). Quality was assessed by total yield, specific activity of product, and by the presence of a smooth, mRNA-shaped curve of an appropriate range in fragment size.

Array hybridization and generation of expression values

Labeled cRNA samples were processed by the University of Florida's Interdisciplinary Center for Biotechnology Research (ICBR) Gene Expression Core Facility (Gainesville, FL). For each rabbit a 100 ng aliquot of the Cy5-labeled sample was combined with a 100 ng aliquot from its paired Cy3-labeled control. This mixture was incubated at 60 °C for 30 min in a high salt buffer to fragment the labeled cRNA into 30-200 base strands. Arrays were hybridized at 60 °C for 17 h in a rotating oven. After hybridization, arrays passed through both a low and high stringency wash according to the manufacture's protocols. Arrays were dried with filtered nitrogen gas and scanned in each of two wavelengths (green: 570, red: 670) with an Agilent G2505 B Scanner (Agilent Technologies). Signal values were corrected for both local background and potential differences in hybridization intensity across the array. A red:green signal ratio was calculated for each element, and ratios were normalized with a lowess transformation. All corrections and transformations of signal values were performed with Feature Extraction software version 8.1 (Agilent Technologies).

A one-group Student's t-test was performed on log2 transformed signal ratios of each probe individually. The null hypothesis, that surgery does not affect probe transcript level, was rejected if the ratio were significantly different from zero. Statistical tests were performed with AnalyzeIt Tools software developed by ICBR.

Real-time polymerase chain reaction

Quantitative real-time polymerase chain reaction (PCR) was performed on bleb and control RNA samples for five rabbit genes: interleukin 1-β (IL1β), matrix metalloproteinase-9 (MMP9), transforming growth factor-β1 (TGFβ1), transforming growth factor-β2 (TGFβ2) and fibronectin (FN1). Real-time PCR was simultaneously performed for 18s ribosomal RNA, and its expression served as an internal control. All primers and TaqMan® probes were designed and synthesized by Applied Biosystem (Foster City, CA; Table 1). Reverse transcription was primed with random hexamers. Real-time reactions were performed in a 25 μl volume containing a 1X solution of TaqMan® Universal PCR Master Mix, 200 nM of forward primer, 200 nM of reverse primer, 50 nM of probe, and 20 ng of template cDNA. The reaction was initially heated to 50 °C for 2 min, then the temperature was raised to 95 °C for 10 min, and followed by 40 cycles of 95 °C for 15 s and 60 °C for 1 min. All real-time reactions were performed with the 7900HT sequence detection system (Applied Biosystems, Foster City, CA). Both bleb and control samples were assayed in triplicate. Relative quantitative of expression levels was determined for each gene. All results are expressed as an expression ratio of the bleb to control tissue, normalized against 18s expression levels.



For each library, 3,840 clones were sequenced from both 5' and 3' ends. After removal of empty vector, E.coli and mitochondrial contaminants, high quality sequences were obtained for 3,118 and 3,418 clones from the anterior tissue library (library identifier: naf) and posterior tissue library (library identifier: nag), respectively. The average quality read length was 599 bases for naf and 626 bases for nag. After GRIST analysis, the naf data yielded 1,929 potentially unique gene clusters, while nag produced 1870 clusters. Annotated sequence information is available at the NEIBank rabbit library website. In addition, names and annotation of microarray probes for all contigs and those represented on each microarray can be found at the University of Florida Ophthalmic Gene Microarray Project.

Treatment effects

An example of a scanned slide is shown in Figure 1. Of the 3,154 total probes present on the two arrays, 2,522 had a signal value above the background, in either the red or green channel, on at least two experimental arrays. Genes represented by these probes were considered present. The remainder were considered absent (no expression under any experimental condition). However, some of the absent calls may be attributed to "bad" probes which have suboptimal hybridization characteristics and may not work under any experimental conditions. Only future hybridizations under different experimental conditions will allow us to determine which probes need to be redesigned.

A one-group Student's t-test was performed on log2 transformed signal ratios (red versus green) to identify genes whose expression was significantly effected by GFS. The null hypothesis was rejected if the ratio was significantly different form zero. The expression of 71 and 315 (Table 2) genes was significantly altered by GFS at the p=0.01 and 0.05 level, respectively. The expression of 26 genes changed by more than two-fold and the expression of five by more than four-fold (Table 3). Of the 26 genes that changed by more than two fold, only 16 had an assigned GO annotation for biological process (Table 3). The biological process connected with all but two of these genes is characteristic of those associated with tissue injury and healing.

Real-time polymerase chain reaction

Sufficient quantities of RNA were only available to perform real-time PCR on four of the six original rabbit ocular samples. The changes in expression level of IL1B, MMP9, TGFB1, TGFB2, and FN1 are listed in Table 4. Of these five genes, the expression of two, IL1B and MMP9, increased dramatically (>100 fold). The expression of two, FN1 and TGFB1, increased moderately (three- to six-fold) and the expression of one, TGFB2, was unchanged. The array-based expression changes in IL1B, MMP9, and FN1 were generally consistent with those of real-time PCR in that the expression of both IL1B and MMP9 increased significantly and dramatically. For example, of the 3,155 genes present on the array, IL1B and MMP9 had the second and fifth largest change in gene expression, respectively. Additionally, the expression of FN1 increased significantly, but to a lesser degree than IL1B and MMP9.

Real-time results for TGFB1 and TGFB2 were more difficult to interpret. For TGFB2, the signal values in the green channel were inordinately high. Only on the fourth array, where there was a small increase in the red signal, were the real-time and array results consistent. For TGFB1, the results were difficult to interpret because all the signal values were close to background levels. On two of the arrays, gene expression goes from present to absent, but the remaining two, gene expression goes from absent to present. Therefore, an accurate estimate of fold change was not possible.


Rabbits, because of their large eyes, ease of handling, and cost effectiveness of their use, have become an important and standard ophthalmic animal model for many surgical experiments as well as for the development of new devices and medical therapies. To date, the research community has been forced to use commercially available chips for similar model systems (rat) due to the absence of rabbit arrays. When this project was initiated, only a small amount of rabbit sequence was available from which microarray probes could be designed. To this end, we have successfully sequenced cDNA inserts from clones originating from rabbit ocular tissues. These sequences are available to the public. In addition, we developed two rabbit arrays containing a total of 3,154 unique contigs.

To the best of our knowledge, this study represents the first report using a rabbit microarray. Because so little rabbit sequence was available prior to this study, it was difficult to make direct comparisons with other rabbit studies, which have focused only on the expression of one or a few genes. Therefore, we compared our results with those from other model systems. Because direct comparisons were made between species and with nonhomologous, studies we compared the general biological interpretation of results between studies.

In a generalized model of wound healing, initial tissue injury stimulates various signaling events including the release of local cytokines and growth factors that eventually led to the production of structural proteins that are components of the extracellular matrix. To evaluate the biological validity of our rabbit microarrays we compared the results with those of our previous rat GFS study [9]. In our rat microarray study, we examined changes in gene expression 2, 5, and 12 days after GFS using the Affymetrix rat 230A GeneChip®. In our current study we took samples only 14 days after surgery. This, in general, mimics the day 12 sample in the rat study. Both the 12- and 14-day sampling times correlate with the latter stages of the wounding response. Therefore, we would not only expect to find similarities between our rabbit 14-day and rat 12-day results, but we would also expect to find gene expression differences characteristic of a late wound stage, principally in genes associated with the structural process of wound healing.

TGFB2 and connective tissue growth factor (CTGF) are two growth factors that mediate the wound-healing process. Their expression generally peaks early in the wound-healing response. For both transcript levels in the rat [9] and protein levels in rabbit [8], CTGF was found to reach peak expression levels 5-7 days after surgery. In both cases CTGF expression levels returned to presurgical levels by days 12-14. Like the results from the rat microarray, we found no significant difference in CTGF expression on day 14 (Table 2). In our rat GFS microarray study, we found the expression level of TGFB2 decreased 2.5 fold by day 12 [9]. In this study, the TGFB2 expression level decreased 71%, but this difference was not significant.

In our rat GFS model, scar tissue began to form 7-14 days after GFS [9]. Consistent with this scarring, we saw an increase in the expression of genes which act as structural components of the extracellular matrix. In particular, we found the expression of various collagens, procollagens, biglycan, fibronectin, lumican and vimentin to increase five days after surgery [9]. Expression level of these genes was still elevated on day 12. The results of our current study are, in general, consistent with these results. On day 14, we found both lumican and fibronectin had significantly increased (Table 2). Additionally, lysozyme, a gene thought to be directly involved with the defense against bacteria [10,11], was significantly increased in both the rat and rabbit microarray studies (Table 2). Finally, in our current study MMP9 was one of the genes that increased the most (Table 3). In the rat microarray study, however, MMP9 increased only on day 2 and 5 and was back to control levels on day 12 [9]. A number of genes that changed the most on the rabbit array (serum amyloid protein A-1 [SAA1], serum amyloid protein A-3 [SAA3], cystine-rich secretory protein-3 [CRISP3], and alpha-1-acid glycoprotein [AGP]) were not present on the rat array, thus, no comparisons could be made with these results.

The acute-phase response is an immediate set of nonspecific host inflammatory responses to tissue injury, surgical trauma, or infection. The response is characterized by the release of proinflammatory cytokines, particularly interleukin-6 (IL6), tumor necrosis factor-alpha (TNFA), and IL1B, which stimulate and mediate the hepatic synthesis and subsequent release of acute-phase proteins (APP) into the blood steam [12-14]. An APP has been defined as one whose plasma concentration changes by at least 25% during inflammation [14]. The concentration of some APP, however, is known to increase by as much as 1,000 fold [13]. The systemic nature of this response constitutes an innate immune response and the APP function to restore homeostasis, neutralize pathogens and promote conditions necessary for tissue repair. APP production in extrahepatic tissues has also been observed in many mammal species and constitutes a local, rather than systemic, response [12-15].

As further biological validation of our rabbit microarrays we would expect to see changes in the expression of genes associated with an acute-phase response, the repair of tissue, and the defense against pathogens. We did find significant changes in the expression of genes involved in the acute-phase response. Of the three primary cytokines that helped mediate this response, only IL1B, IL6 are represented on our rabbit arrays. The expression of both increased significantly; ILB1 by 8.6 fold and IL6 by 13% (Table 2). The gene with the largest increase in expression (22 fold), SAA3 and its family member, SAA1, which increased 2.3 fold, are classified as acute-phase reactants [13] (Table 3). Serum amyloid A consists of a family of apolipoproteins that are highly conserved across all vertebrates and are sensitive markers for inflammation [12,14,16]. SAA3 is the predominant extrahepatic form in rats, mice, and rabbits [12,17] and was required for effective stimulation of collagenase by IL1B in rabbit corneal fibroblasts [18].

The transcript level of three other APP genes, AGP, ceruloplasmin (CP), and FN1 was significantly increased following GFS. Both AGP, whose expression increased 7 fold, and CP, whose expression increased 3.3 fold, are believed to act as antiinflammatory and immunomodulatory agents (Table 3). Therefore, it has been hypothesized that their extrahepatic expression functions to reduce inflammatory induced tissue damage [14,19,20].

FN1 gene expression increased 2.5 fold following GFS (Table 3). In humans, it appears that a single gene codes for two distinct forms, cellular and plasma. The plasma form is classified as an APP. The cellular form, however, is the major cell surface glycoprotein of many fibroblast cell lines. A major FN1 function is in the adhesion of cells to extracellular matrix (ECM) materials, particularly collagen, and its presence is therefore instrumental in tissue repair [21]. We observed the transcript expression level of two other ECM-associated genes, lumican (LUM) and MMP9, to be increased after GFS. LUM increased 2.5 fold (Table 3). LUM is present in large quantities in the corneal stroma, where it not only interacts with collagen molecules to limit fibril growth, but also plays a critical role in the regular spacing of fibrils and acquisition of corneal transparency [22]. MMP9 expression, increased 3.6 fold. MMP9 is an endoprotease that cleaves matrix substrates, such as gelatin and collagen types IV, V, and VII, and therefore, plays a major role in the alteration of the ECM after tissue injury [23,24]. MMP9 was shown to be upregulated at both the transcriptional and translational levels by SAA in human THP1 cells [23]. Also of note is that MMP9 was found to be upregulated at both the mRNA and protein level in mononuclear blood cells of normal-tension glaucoma patients [24].

As with the increase in the expression of genes associated with the acute-phase response and tissue repair, we found the expression of defense-related genes to increase. The expression of lysozyme C and CRISP3, which are principal enzymes of the innate immune system, increased 2.5- and 3.6 fold, respectively (Table 3). Lysozyme is a protein that degrades bacterial cell walls. It is a component of granules of neutrophils and the major secretory product of macrophages [10,11]. Similarly, CRISP3, which was originally purified from human neutrophils, is present in the gelatinase granules of human neutrophils, along with lysozyme, collagenase, and gelatinase [25].

It is clear that our rabbit microarrays are providing gene expression results that are compatible with those found in similar tissue injury, wound healing and GFS surgery studies. For example, the genes that changed the most, SAA1, SAA3 AGP, and FN1 are acute-phase reactants. If not directly involved, they are at least markers for inflammation. Other genes showing large changes include IL1B, which is known to mediate inflammatory responses, LUM and MMP9, which are associated with degradation and/or remodeling of the ECM, and both lysozyme and CRISP3 which are implicated as a direct defense against pathogenic challenge. Our microarray results are also generally consistent with the magnitude and direction of real-time PCR results when microarray signal values are well above background levels.

The availability of rabbit microarrays affords a new and unique opportunity for identifying molecular controls for ocular processes. An addition benefit is that these microarrays have been successfully used for a nonophthalmic study involving vascular tissue (Dr. Scott Berceli, personal communication). Fortunately, relatively few genes exhibit tissue-specific expression, and therefore, fulfill a similar function in different cell types. Thus, gene-expression and associated cellular behavior and responses across multiple tissue types, including epithelial, connective, neurological, and immunologic, may potentially be investigated using this technology, implying a utility for more than ocular research alone. The greatest limitation of these microarrays is that they only represent approximately 3000 unique genes. Further sequencing is underway to obtain a greater coverage of the expressed rabbit genome. This will no doubt, enhance the utility of the rabbit microarrays.


This work was supported by a Research Opportunity Fund from the University of Florida's Division of Sponsored Research and through the NEIBank project of the National Eye Institute. The authors thank Dr W. Clay Smith for reviewing an earlier version of this manuscript.


1. Wistow G, Bernstein SL, Wyatt MK, Behal A, Touchman JW, Bouffard G, Smith D, Peterson K. Expressed sequence tag analysis of adult human lens for the NEIBank Project: over 2000 non-redundant transcripts, novel genes and splice variants. Mol Vis 2002; 8:171-84 <>.

2. Wistow G, Bernstein SL, Touchman JW, Bouffard G, Wyatt MK, Peterson K, Behal A, Gao J, Buchoff P, Smith D. Grouping and identification of sequence tags (GRIST): bioinformatics tools for the NEIBank database. Mol Vis 2002; 8:164-70 <>.

3. Baxevanis AD, editor. Current Protocols in Bioinformatics. New York: Wiley and Sons; 2003.

4. Farmerie WG, Hammer J, Liu L, Sahni A, Schneider M. Biological Workflow with BlastQuest. Data & Knowledge Engineering 2005; 53:75-97.

5. Gene Ontology Consortium. Creating the gene ontology resource: design and implementation. Genome Res 2001; 11:1425-33.

6. Kanehisa M, Goto S, Hattori M, Aoki-Kinoshita KF, Itoh M, Kawashima S, Katayama T, Araki M, Hirakawa M. From genomics to chemical genomics: new developments in KEGG. Nucleic Acids Res 2006; 34:D354-7.

7. Iseli C, Jongeneel CV, Bucher P. ESTScan: a program for detecting, evaluating, and reconstructing potential coding regions in EST sequences. Proc Int Conf Intell Syst Mol Biol 1999; :138-48.

8. Esson DW, Neelakantan A, Iyer SA, Blalock TD, Balasubramanian L, Grotendorst GR, Schultz GS, Sherwood MB. Expression of connective tissue growth factor after glaucoma filtration surgery in a rabbit model. Invest Ophthalmol Vis Sci 2004; 45:485-91.

9. Esson DW, Popp MP, Liu L, Schultz GS, Sherwood MB. Microarray analysis of the failure of filtering blebs in a rat model of glaucoma filtering surgery. Invest Ophthalmol Vis Sci 2004; 45:4450-62.

10. Akinbi HT, Epaud R, Bhatt H, Weaver TE. Bacterial killing is enhanced by expression of lysozyme in the lungs of transgenic mice. J Immunol 2000; 165:5760-6.

11. Bera A, Biswas R, Herbert S, Gotz F. The presence of peptidoglycan O-acetyltransferase in various staphylococcal species correlates with lysozyme resistance and pathogenicity. Infect Immun 2006; 74:4598-604.

12. Uhlar CM, Whitehead AS. Serum amyloid A, the major vertebrate acute-phase reactant. Eur J Biochem 1999; 265:501-23.

13. Gabay C, Kushner I. Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 1999; 340:448-54. Erratum in: N Engl J Med 1999; 340:1376.

14. Murata H, Shimada N, Yoshioka M. Current research on acute phase proteins in veterinary diagnosis: an overview. Vet J 2004; 168:28-40.

15. Rozsa FW, Reed DM, Scott KM, Pawar H, Moroi SE, Kijek TG, Krafchak CM, Othman MI, Vollrath D, Elner VM, Richards JE. Gene expression profile of human trabecular meshwork cells in response to long-term dexamethasone exposure. Mol Vis 2006; 12:125-41 <>.

16. Larson MA, Weber A, McDonald TL. Bovine serum amyloid A3 gene structure and promoter analysis: induced transcriptional expression by bacterial components and the hormone prolactin. Gene 2006; 380:104-10.

17. Rygg M, Husby G, Marhaug G. Differential expression of rabbit serum amyloid A genes in response to various inflammatory agents. Scand J Immunol 1993; 38:417-22.

18. Strissel KJ, Girard MT, West-Mays JA, Rinehart WB, Cook JR, Brinckerhoff CE, Fini ME. Role of serum amyloid A as an intermediate in the IL-1 and PMA-stimulated signaling pathways regulating expression of rabbit fibroblast collagenase. Exp Cell Res 1997; 237:275-87.

19. Fournier T, Medjoubi-N N, Porquet D. Alpha-1-acid glycoprotein. Biochim Biophys Acta 2000; 1482:157-71.

20. Williams JP, Weiser MR, Pechet TT, Kobzik L, Moore FD Jr, Hechtman HB. alpha 1-Acid glycoprotein reduces local and remote injuries after intestinal ischemia in the rat. Am J Physiol 1997; 273:G1031-5.

21. Robinson EE, Foty RA, Corbett SA. Fibronectin matrix assembly regulates alpha5beta1-mediated cell cohesion. Mol Biol Cell 2004; 15:973-81.

22. Chakravarti S, Magnuson T, Lass JH, Jepsen KJ, LaMantia C, Carroll H. Lumican regulates collagen fibril assembly: skin fragility and corneal opacity in the absence of lumican. J Cell Biol 1998; 141:1277-86.

23. Lee HY, Kim MK, Park KS, Bae YH, Yun J, Park JI, Kwak JY, Bae YS. Serum amyloid A stimulates matrix-metalloproteinase-9 upregulation via formyl peptide receptor like-1-mediated signaling in human monocytic cells. Biochem Biophys Res Commun 2005; 330:989-98.

24. Golubnitschaja O, Yeghiazaryan K, Liu R, Monkemann H, Leppert D, Schild H, Haefliger IO, Flammer J. Increased expression of matrix metalloproteinases in mononuclear blood cells of normal-tension glaucoma patients. J Glaucoma 2004; 13:66-72.

25. Udby L, Calafat J, Sorensen OE, Borregaard N, Kjeldsen L. Identification of human cysteine-rich secretory protein 3 (CRISP-3) as a matrix protein in a subset of peroxidase-negative granules of neutrophils and in the granules of eosinophils. J Leukoc Biol 2002; 72:462-9.

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