Open Access

Identification of long non-coding RNA and mRNA expression in βΒ2-crystallin knockout mice

  • Authors:
    • Yin Jia
    • Kang Xiong
    • Han‑Xiao Ren
    • Wen‑Jie Li
  • View Affiliations

  • Published online on: March 12, 2018     https://doi.org/10.3892/etm.2018.5949
  • Pages: 4277-4283
  • Copyright: © Jia et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

βΒ2-crystallin (CRYBB2) is expressed at an increased level in the postnatal lens cortex and is associated with cataracts. Improved understanding of the underlying biology of cataracts is likely to be critical for the development of early detection strategies and new therapeutics. The present study aimed to identify long non‑coding RNAs (lncRNAs) and mRNAs associated with CRYBB2 knockdown (KO)‑induced cataracts. RNAs from 3 non‑treated mice and 3 CRYBB2 KO mice were analyzed using the Affymetrix GeneChip Mouse Gene 2.0 ST array. A total of 149 lncRNAs and 803 mRNAs were identified to have upregulated expression, including Snora73b, Klk1b22 and Rnu3a, while the expression levels of 180 lncRNAs and 732 mRNAs were downregulated in CRYBB2 KO mice, including Snord82, Snhg9 and Foxn3. This lncRNA and mRNA expression profile of mice with CRYBB2 KO provides a basis for studying the genetic mechanisms of cataract progression.

Introduction

Congenital cataracts area common cause of blindness, with the incidence estimated to be 1–6/10,000 infants in most populations (1,2). There are 13,000–200,000 patients with bilateral congenital cataract who go blind each year worldwide, with an increase of 2,000–40,000 per year (3). The primary clinical manifestation of the disease is the occurrence of lens opacity in the first year (4). Although surgical techniques and visual prognosis have improved, congenital cataracts remain the leading cause of visual disability in children worldwide (5). Previous studies have revealed that almost one-third of congenital cataracts are caused by genetic mutations (6), and 13 genes have previously been confirmed to be associated with congenital cataracts (7). These include crystallin genes [αA-crystallin (CRYAA), αB-crystallin, βΑ1-crystallin (CRYBA1), βB1-crystallin, βB2-crystallin (CRYBB2), γC-crystallin and γD-crystallin (CRYGD)], membrane transport protein genes [major intrinsic protein (MIP), gap junction protein (GJ)A3 and GJA8], a cytoskeletal protein gene [beaded filament structural protein 2 (BFSP2)], and transcription factor genes (paired-like homeodomain 3 and heat shock transcription factor 4).

Evidence indicates that gene expression in the lens epithelium is significantly altered during cataract formation. Sheets et al (8) reported the downregulation of CRYAA and CRYBA1/CRYBA3 and the upregulation of the receptor tyrosine kinase adhesion-related kinase (ARK) in the Emory mouse, a well-characterized model of age-dependent cataracts. Furthermore, metallothionein-IIA, osteonectin and ARK are upregulated in cataractous lenses relative to transparent lenses (911). Ruotolo et al (12) identified extensive downregulation of genes, including GCS1, GRB7, FST and POLR2E, in the lens associated with the development of age-related cataracts in humans. Although these changes in gene expression are informative, further gene identifications are required to elucidate the molecular mechanism of cataract formation. Crystallins, CRYBB2 in particular, are considered to act primarily as structural proteins of the lens (13). Previously, it was demonstrated that the relative amounts of CRYBB2 protein expression in the lens change markedly, increasing from 12 to 24% (14), suggesting that CRYBB2 serves a contributive function in lens development. Moreover, targeted knockout (KO) of CRYBB2 in mice has been demonstrated to induce age-related (15) and congenital cataracts (16); however, its functional significance is not yet known.

Long non-coding RNAs (lncRNAs) are defined as non-coding RNA molecules >200 nucleotides in length with limited protein coding potential (17,18). Previous studies have indicated that lncRNAs are deregulated in numerous diseases and associated with a wide range of biological processes, such as proliferation, apoptosis and cell migration (19,20). Recently, some lncRNAs have been identified to serve critical functions in eye development and diseases. Shen et al (21) reported that 38 lncRNAs were differentially expressed between transparent and cataractous lenses, among which one of the most abundant lncRNAs, myocardial infarction associated transcript, was specifically upregulated in the plasma fraction of whole blood and the aqueous humor of cataract patients. However, the function of lncRNAs in human lenses remains unknown.

In the present study, differences in lncRNA and mRNA expression between the lenses of untreated mice and CRYBB2 KO-induced cataract mice models were evaluated. A total of149 lncRNAs and 803 mRNAs were identified whose expression was upregulated, while the expression levels of a further 180 lncRNAs and 732 mRNAs were downregulated in CRYBB2 KO mice lenses. These findings suggest a potential function for these lncRNAs and mRNAs in cataract formation.

Materials and methods

Animals

A total of 3 male wild type (WT) and 3 male CRYBB2 KO BALB/c mice (age, 12 weeks old; weight, 25 g) were provided by in Genious Targeting Laboratory, Inc. (Ronkonkoma, NY, USA) (22). Mice with targeted disruption of the CRYBB2 gene were generated at the company by inserting a neo expression cassette to replace the first and second exons, preventing the production of a functional transcript from this locus. Mice were maintained in an animal facility at 25°C, with a relative humidity of 60–70%, under a 12-h light/dark cycle with free access to food and water at the Laboratory Animal Center of the Changhai Hospital, Second Military Medical University (Shanghai, China). All procedures were carried out in accordance with the Chinese legislation on the Use and Care of Laboratory Animals and the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research (23) and were approved by the Institutional Animal Care and Use Committee of Changhai Hospital, Second Military Medical University (Shanghai, China).

RNA extraction

Following the sacrifice of the mice, the lenses were collected and RNA was isolated from the lenses of mice using the Chomczynski method (24) and was further purified using an RNeasy MinElute Clean-up kit (Qiagen GmbH, Hilden, Germany). The RNA concentration was measured with a Nanodrop spectrophotometer (Thermo Fisher Scientific, Inc., Waltham, MA, USA). The A260/A280 ratio was 1.8–2.0 and the quality of the RNA was verified by agarose gel electrophoresis.

Microarray processing

LncRNA and mRNA expression profiling was performed using the Affymetrix GeneChip Mouse Gene 2.0 ST array (Thermo Fisher Scientific, Inc.), according to the manufacturer's protocols. Intensities of target hybridization to respective probe features were detected by laser scanning of the array. First, quantile normalization of the microarray data of the 3 untreated and 3 CRYBB2 KO mice was performed. The data was then log2-scale transformed. Hierarchical clustering of the lncRNA and mRNA profiles was performed using Cluster 3.0 software (http://bonsai.hgc.jp/~mdehoon/software/cluster/software.htm) (25). The normalized expression values of the lncRNAs and mRNAs were centered on the median before unsupervised hierarchical clustering was performed. Clustering was performed with complete linkage and centered Pearson correlation. To estimate the accuracy of the measurements, the coefficient of variance for each measured parameter was determined.

Statistical analysis

Statistical analyses were performed with the use of GraphPad Prism 5 software (GraphPad Software, Inc., La Jolla, CA, USA). The Significance Analysis of Microarray method was used to identify significant gene expression changes between CRYBB2 KO mice and controls (26). P<0.05 was considered to indicate a statistically significant difference.

Results

Analysis of lncRNA expression patterns in CRYBB2 KO mice

The lncRNA expression profiles of lens tissues were compared using unsupervised hierarchical clustering in 3 untreated and 3CRYBB2 KO mice. As demonstrated in Fig. 1, in total, 329 lncRNAs with a coefficient of variance >0.10 were selected for clustering analysis. Hierarchical clustering of these 329 lncRNAs based on centered Pearson correlation indicated notable differential lncRNA expression in CRYBB2 KO and untreated mice (Fig. 1). Among these lncRNAs, 17 exhibited at least a two-fold change in the CRYBB2 KO mice compared with the untreated mice (all upregulated in CRYBB2 KO mice). A total of 149 out of 329 lncRNAs were upregulated in CRYBB2 KO mice compared with the untreated mice (Table I presents the top 20 most upregulated lncRNAs), whereas 180 out of 329 lncRNAs were downregulated in CRYBB2 KO mice compared with the untreated mice (Table II presents the top 20 most downregulated lncRNAs).

Table I.

Top 20 upregulated long non-coding RNAs in βB2-crystallin KO mice.

Table I.

Top 20 upregulated long non-coding RNAs in βB2-crystallin KO mice.

Probe set IDP-valueFold-change (KO/WT)MGI gene symbolGene descriptionGenBank accession no.
17296979 2.00×10−75.84Gm10409Predicted gene 10409NR_033121
17303368 1.00×10−65.21Gm3002α-takusan pseudogeneNR_033388
17296602 2.60×10−63.75Gm3020Predicted gene 3020NR_033117
17430831 3.57×10−53.55Snora73bSmall nucleolar RNA, H/ACA box 73bNR_028513
17303147 1.70×10−63.52Gm3591Predicted gene 3591XR_141206
17434158 6.77×10−33.51 ENSMUST00000169242
17337152 4.01×10−33.38 ENSMUST00000174425
17424407 1.21×10−22.984933409K07RikRIKEN cDNA 4933409K07 geneNR_033123
17413061 3.08×10−32.87 ENSMUST00000169242
17480922 3.86×10−42.68Mir139MicroRNA139NR_029791
17302054 3.04×10−22.49Snora31Small nucleolar RNA, H/ACA box 31NR_028481
17232731 3.02×10−22.4Rnu3aU3A small nuclear RNANR_002842
17412952 9.63×10−32.32Gm3893Predicted gene 3893NR_033506
17342996 2.00×10−32.21Gm16197Predicted gene 16197NR_036469
17421488 1.19×10−22.06 ENSMUST00000172415
17348121 3.41×10−22.044833419F23RikRIKEN cDNA4833419F23 geneNR_040328
17347279 3.47×10−22.01 ENSMUST00000157334
17430833 1.42×10−31.98Snora73aSmall nucleolar RNA, H/ACA box 73aNR_028512
17221923 2.92×10−21.91 ENSMUST00000083191
17523680 4.81×10−41.89Mir101cMicroRNA101cNR_039546

[i] KO, knockout; WT, wild type; MGI, mouse genome informatics database.

Table II.

Top 20 downregulated long non-coding RNAs in βB2-crystallin KO mice.

Table II.

Top 20 downregulated long non-coding RNAs in βB2-crystallin KO mice.

Probe set IDP-valueFold-change (KO/WT)MGI gene symbolGene descriptionGenBank accession no.
17251898 4.62×10−20.86Mir324MicroRNA 324NR_029758
17547715 4.84×10−20.86 ENSMUST00000117972
17468138 4.35×10−20.85 ENSMUST00000145420
17329209 4.58×10−20.85A830060N17Uncharacterized LOC328646NR_046162
17365718 3.37×10−20.84 ENSMUST00000162724
17403967 3.43×10−20.84 ENSMUST00000158662
17362668 3.62×10−20.84 ENSMUST00000169060
17315735 3.71×10−20.84 ENSMUST00000160698
17527984 4.10×10−20.84A730043L09Uncharacterized protein A730043L09NR_040769
17278612 4.40×10−20.84Mir342MicroRNA342NR_029771
17448958 2.17×10−20.83 ENSMUST00000158856
17269866 3.17×10−20.83 ENSMUST00000102272
17225173 3.59×10−20.83Snord82Small nucleolar RNA, C/D box 82NR_002851
17230480 3.98×10−20.83 ENSMUST00000128545
17532275 4.53×10−20.83 ENSMUST00000082463
17345664 4.84×10−20.83 ENSMUST00000122623
17280661 2.01×10−20.82F730043M19RikRIKEN cDNA F730043M19 geneNR_015602
17395003 2.17×10−20.82 ENSMUST00000133525
17342024 2.90×10−20.82Snhg9Small nucleolar RNA host gene (non-protein coding) 9NR_027900
17232800 3.09×10−20.82 ENSMUST00000104610

[i] KO, knockout; WT, wild type; MGI, mouse genome informatics database.

Analysis of mRNA expression patterns in CRYBB2 KO mice

The mRNA expression profiles of lens tissues were compared using unsupervised hierarchical clustering in the 3 untreated and 3 CRYBB2 KO mice. In total, 1,535 mRNAs with a coefficient of variance >0.10 were selected for clustering analysis. Hierarchical clustering of these 1,535 mRNAs based on centered Pearson correlation indicated notable differential mRNA expression between CRYBB2 KO and untreated mice (Fig. 2). Among these mRNAs, 52 exhibited at least a two-fold change in the CRYBB2 KO mice compared with the untreated mice (all upregulated in CRYBB2 KO mice). A total of 803 out of 1,535 mRNAs were upregulated in CRYBB2 KO mice compared with the untreated mice (Table III presents the top 20 most upregulated mRNAs), whereas 732 out of 1,535 mRNAs were downregulated (Table IV presents the top 20 most downregulated mRNAs).

Table III.

Top 20 upregulated mRNAs in βB2-crystallin KO mice.

Table III.

Top 20 upregulated mRNAs in βB2-crystallin KO mice.

Probe set IDP-valueFold-change (KO/WT)MGI gene symbolGene descriptionGenBank accession no.
17477347 3.60×10−27.22Klk1b22Kallikrein 1-related peptidase b22NM_010114
17303018 1.00×10−77.14Gm3500Predicted gene 3500NM_001256886
17296943 2.52×10−45.78 ENSMUST00000163719
17303117 1.00×10−75.58Gm3696Predicted gene 3696 ENSMUST00000167923
17296896 4.00×10−75.14Gm5796Predicted gene 5796NM_001029930
17548311 1.22×10−54.56Gm3579Predicted gene 3579AY140896
17373996 1.35×10−44.53BC048594cDNA sequence BC048594BC048594
17331088 4.22×10−54.48Gm19797Predicted gene 19797XM_003085996
17303024 3.66×10−44.13Gm10021Predicted gene 10021AK084071
17413352 5.14×10−33.46Car9Carbonic anhydrase 9 ENSMUST00000030183
17296849 9.00×10−63.4Gm2897Predicted gene 2897NM_001177715
17335467 1.21×10−23.22Cdkn1aCyclin-dependent kinase inhibitor 1A (P21)NM_007669
17412962 7.94×10−33.2Gm3893Predicted gene 3893BC059060
17496857 2.59×10−23.16Cox6a2Cytochrome c oxidase, subunit VI a, polypeptide 2NM_009943
17466743 9.47×10−43.13NpvfNeuropeptide VF precursor ENSMUST00000031853
17331078 3.77×10−43.06Tmem45aTransmembrane protein 45aNM_019631
17296836 2.00×10−63.01Gm5458Predicted gene 5458NM_001024706
17280292 5.05×10−42.93 ENSMUST00000169148
17296595 2.52×10−52.9D830030K20RikRIKEN cDNA D830030K20 gene ENSMUST00000169218
17303315 5.57×10−52.78Gm5797Predicted gene 5797 ENSMUST00000100886

[i] KO, knockout; WT, wild type; MGI, mouse genome informatics database.

Table IV.

Top 20 downregulated mRNAs in βB2-crystallin KO mice.

Table IV.

Top 20 downregulated mRNAs in βB2-crystallin KO mice.

Probe set IDP-valueFold-change (KO/WT)MGI gene symbolGene descriptionGenBank accession no.
17256388 3.86×10−20.86Ttc25Tetratricopeptide repeat domain 25NM_028918
17283203 4.91×10−20.86Foxn3Forkhead box N3 ENSMUST00000046859
17357502 4.94×10−20.86Cpsf7Cleavage and polyadenylation specific factor 7NM_172302
17440775 4.31×10−20.86DaoD-amino acid oxidase ENSMUST00000112292
17473796 4.34×10−20.86Rps5Ribosomal protein S5NM_009095
17528663 4.79×10−20.86Polr2mPolymerase (RNA) II (DNA directed) polypeptide MNM_178602
17231003 4.52×10−20.85Mfsd7bMajor facilitator superfamily domain containing 7BNM_001081259
17219005 4.68×10−20.85Creg1Cellular repressor of E1A-stimulated genes 1NM_011804
17225580 4.98×10−20.85Olfr1415Olfactory receptor 1415NM_001011525
17256716 4.83×10−20.85Rundc1RUN domain containing 1NM_172566
17291143 3.31×10−20.85AK029074
17304186 4.98×10−20.85Plac9Placenta specific 9NM_207229
17358640 4.57×10−20.85Mbl2Mannose-binding lectin (protein C) 2 ENSMUST00000025797
17368499 4.89×10−20.85DbhDopamine beta hydroxylase ENSMUST00000000910
17425160 3.58×10−20.85Erp44Endoplasmic reticulum protein 44NM_029572
17451345 4.98×10−20.852900026A02RikRIKEN cDNA 2900026A02 geneNM_172884
17501800 3.53×10−20.85Hapln4Hyaluronan and proteoglycan link protein 4NM_177900
17499224 3.82×10−20.85F10Coagulation factor XNM_001242368
17504309 3.96×10−20.85Ccdc113Coiled-coil domain containing 113NM_172914
17502071 4.01×10−20.85 ENSMUST00000050921

[i] KO, knockout; WT, wild type; MGI, mouse genome informatics database.

Discussion

In the present study, the lncRNA and mRNA profiles of untreated and CRYBB2 KO cataractous lenses were evaluated. A total of 149 lncRNAs and 803 mRNAs were identified to be upregulated, while 180 lncRNAs and 732 mRNAs were identified to be downregulated in CRYBB2 KO mice lenses, implying a potential role of these lncRNAs and mRNAs in cataract formation.

In previous research, an increasing number of lncRNAs have been identified and associations between lncRNAs and numerous diseases, including cardiovascular and neurodegeneration diseases, have been reported (27). The roles of lncRNAs in cancer development are being studied (28,29). However, the function of lncRNAs in disease, particularly in cataracts, has not yet been reported. To the best of our knowledge, the current study presents the first report on differential lncRNA expression in a cohort of mice with or without CRYBB2 KO. Through an analysis of lenses, it was identified that 329 lncRNAs were differentially expressed in CRYBB2 KO and untreated mice, suggesting that lncRNAs may serve critical functions in cataract formation. Among the top 20 most upregulated lncRNAs, five were predicted genes and a further six were unnamed. Among the top 20 most downregulated lncRNAs, 13 lncRNAs were unnamed and the others were known (identified with Mouse Genome Informatics gene symbols). These results indicated that these lncRNAs were linked with CRYBB2-associated cataract formation. Notably, the expression changes of lncRNAs in the upregulated group (maximum change, 5.84-fold) were higher compared with those in the downregulated group (maximum change, 0.86-fold), suggesting a higher susceptibility of lncRNAs to be upregulated rather than downregulated in cataracts.

Differential mRNA expression was also examined in the cohort of mice with or without CRYBB2 KO. Through an analysis of lenses, it was identified that 1,535 mRNAs were differentially expressed between CRYBB2 KO and untreated mice. Among the top 20 most upregulated mRNAs, 10 mRNAs were predicted genes and two mRNAs were unnamed. These results indicated that these mRNAs may serve critical functions in cataract formation. Notably, the expression changes of mRNAs in the upregulated group (maximum change, 7.22-fold) were higher compared with those in the downregulated group (maximum change, 0.86-fold), suggesting a higher susceptibility of mRNAs to be upregulated rather than downregulated in cataracts.

A previous limited microarray survey with a panel of cell cycle-regulated genes illustrated that irradiation with protons altered the gene expression pattern of human lens epithelial cells (30), such as cyclin-dependent kinase inhibitor 1 (CDKN1A), which codes for a protein that is involved in several pathways functionally associated with linear energy transfer-responsive radiation damage. Cytochrome C oxidase 6A2 (COX6A2) was identified to be upregulated during cataract development in mice with a mutation in MIP, a functional water channel that serves a key role in establishing lens fiber cell architecture and is associated with inherited and age-related forms of cataracts (31). Consistent with these results, the present study also identified upregulated expression of CDKN1A and COX6A2 in a CRYBB2 KO-induced cataract mice model. Furthermore, Fas-mediated apoptosis in human lens epithelial cells of cataracts is associated with diabetic retinopathy (32), suggesting a role for Fas in cataract formation, which is contrary to the finding of the present study that Fas was downregulated in a CRYBB2 KO-induced cataracts mouse model (data not shown). BFSP2, a gene for a lens-specific beaded filament structural protein, was down-regulated in CRYBB2 KO-induced cataract mice (33,34), which is in agreement with the findings of the present study: BFSP2 expression is restricted to the lens fiber cells, and a deletion mutation of BFSP2 is associated with cataracts. CRYGD mutation has previously been observed to cause autosomal dominant congenital cerulean cataracts, suggesting an inhibitory role of CRYGD in cataract formation (35). This is consistent with the current findings that CRYGD is downregulated in a CRYBB2 KO-induced cataracts mouse model (data not shown).

The present study has some limitations, including the relatively small number of mice in each cohort, and the fact that only RNA samples from the lens were utilized for hybridizations. Furthermore, the differentially expressed lncRNAs and mRNAs require further clarification in future investigations.

In conclusion, knowledge of the changes in lncRNA and mRNA expression associated with cataracts may contribute to a better understanding of the opacification process. The findings of the present study demonstrate that there are notable lncRNA and mRNA differences between mice with or without CRYBB2 KO induction. The data indicate that the response of the lens to the development of CRYBB2 KO-related cataract is characterized by an extensive upregulation of numerous mRNAs and lncRNAs.

Acknowledgements

Not applicable.

Funding

This study was supported by grants from the National Science Foundation of China (grant nos. 81300748 and 81170834).

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Authors' contributions

YJ conceived of and designed the experiments. KX, H-XR and W-JL performed the experiments and analyzed the data. W-JL and KX obtained the reagents, materials and analysis tools. YJ and W-JL wrote the study. All authors read and approved the final study.

Ethics approval and consent to participate

All procedures were carried out in accordance with the Chinese legislation on the Use and Care of Laboratory Animals and the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research (23) and were approved by the Institutional Animal Care and Use Committee of Changhai Hospital, Second Military Medical University (Shanghai, China).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Reddy MA, Francis PJ, Berry V, Bhattacharya SS and Moore AT: Molecular genetic basis of inherited cataract and associated phenotypes. Surv Ophthalmol. 49:300–315. 2004. View Article : Google Scholar : PubMed/NCBI

2 

Holmes JM, Leske DA, Burke JP and Hodge DO: Birth prevalence of visually significant infantile cataract in a defined US population. Ophthalmic Epidemiol. 10:67–74. 2003. View Article : Google Scholar : PubMed/NCBI

3 

Foster A, Gilbert C and Rahi J: Epidemiology of cataract in childhood: A global perspective. J Cataract Refract Surg. 23 Suppl 1:S601–S604. 1997. View Article : Google Scholar

4 

Peng CH, Liu JH, Woung LC, Lin TJ, Chiou SH, Tseng PC, Du WY, Cheng CK, Hu CC, Chien KH and Chen SJ: MicroRNAs and cataracts: Correlation among let-7 expression, age and the severity of lens opacity. Br J Ophthalmol. 96:747–751. 2012. View Article : Google Scholar : PubMed/NCBI

5 

You C, Wu X, Zhang Y, Dai Y, Huang Y and Xie L: Visual impairment and delay in presentation for surgery in chinese pediatric patients with cataract. Ophthalmology. 118:17–23. 2011. View Article : Google Scholar : PubMed/NCBI

6 

Gao X, Cheng J, Lu C, Li X, Li F, Liu C, Zhang M, Zhu S and Ma X: A novel mutation in the connexin 50 gene (GJA8) associated with autosomal dominant congenital nuclear cataract in a Chinese family. Curr Eye Res. 35:597–604. 2010. View Article : Google Scholar : PubMed/NCBI

7 

Chen C, Sun Q, Gu M, Liu K, Sun Y and Xu X: A novel Cx50 (GJA8) p. H277Y mutation associated with autosomal dominant congenital cataract identified with targeted next-generation sequencing. Graefes Arch Clin Exp Ophthalmol. 253:915–924. 2015. View Article : Google Scholar : PubMed/NCBI

8 

Sheets NL, Chauhan BK, Wawrousek E, Hejtmancik JF, Cvekl A and Kantorow M: Cataract-and lens-specific upregulation of ARK receptor tyrosine kinase in Emory mouse cataract. Invest Ophthalmol Vis Sci. 43:1870–1875. 2002.PubMed/NCBI

9 

Hawse JR, Padgaonkar VA, Leverenz VR, Pelliccia SE, Kantorow M and Giblin FJ: The role of metallothionein IIa in defending lens epithelial cells against cadmium and TBHP induced oxidative stress. Mol Vis. 12:342–349. 2006.PubMed/NCBI

10 

Gilmour DT, Lyon GJ, Carlton MB, Sanes JR, Cunningham JM, Anderson JR, Hogan BL, Evans MJ and Colledge WH: Mice deficient for the secreted glycoprotein SPARC/osteonectin/BM40 develop normally but show severe age-onset cataract formation and disruption of the lens. EMBO J. 17:1860–1870. 1998. View Article : Google Scholar : PubMed/NCBI

11 

Hawse JR, Hejtmancik JF, Horwitz J and Kantorow M: Identification and functional clustering of global gene expression differences between age-related cataract and clear human lenses and aged human lenses. Exp Eye Res. 79:935–940. 2004. View Article : Google Scholar : PubMed/NCBI

12 

Ruotolo R, Grassi F, Percudani R, Rivetti C, Martorana D, Maraini G and Ottonello S: Gene expression profiling in human age-related nuclear cataract. Mol Vis. 9:538–548. 2003.PubMed/NCBI

13 

Pauli S, Söker T, Klopp N, Illig T, Engel W and Graw J: Mutation analysis in a German family identified a new cataract-causing allele in the CRYBB2 gene. Mol Vis. 13:962–967. 2007.PubMed/NCBI

14 

Lou D, Tong J, Zhang L, Chiang SW, Lam DS and Pang C: A novel mutation in CRYBB2 responsible for inherited coronary cataract. Eye (Lond). 23:1213–1220. 2009. View Article : Google Scholar : PubMed/NCBI

15 

Zhang J, Li J, Huang C, Xue L, Peng Y, Fu Q, Gao L, Zhang J and Li W: Targeted knockout of the mouse betaB2-crystallin gene (Crybb2) induces age-related cataract. Invest Ophthalmol Vis Sci. 49:5476–5483. 2008. View Article : Google Scholar : PubMed/NCBI

16 

Mothobi ME, Guo S, Liu Y, Chen Q, Yussuf AS, Zhu X and Fang Z: Mutation analysis of congenital cataract in a Basotho family identified a new missense allele in CRYBB2. Mol Vis. 15:1470–1475. 2009.PubMed/NCBI

17 

Rinn JL and Chang HY: Genome regulation by long noncoding RNAs. Ann Rev Biochem. 81:145–166. 2012. View Article : Google Scholar : PubMed/NCBI

18 

Wilusz JE, Sunwoo H and Spector DL: Long noncoding RNAs: Functional surprises from the RNA world. Genes Dev. 23:1494–1504. 2009. View Article : Google Scholar : PubMed/NCBI

19 

Mercer TR, Dinger ME and Mattick JS: Long non-coding RNAs: Insights into functions. Nat Rev Genet. 10:155–159. 2009. View Article : Google Scholar : PubMed/NCBI

20 

Ponting CP, Oliver PL and Reik W: Evolution and functions of long noncoding RNAs. Cell. 136:629–641. 2009. View Article : Google Scholar : PubMed/NCBI

21 

Shen Y, Dong LF, Zhou RM, Yao J, Song YC, Yang H, Jiang Q and Yan B: Role of long non-coding RNA MIAT in proliferation, apoptosis and migration of lens epithelial cells: A clinical and in vitro study. J Cell Mol Med. 20:537–548. 2016. View Article : Google Scholar : PubMed/NCBI

22 

Zhang J, Huang C, Li W, Wang J and Weng W: Establishment of a βB2 crystallin gene knockout mice model. Acad J Second Mil Med Univ. 27:1246–1249. 2006.

23 

Delgado D, del Pozo-Rodríguez A, Solinís MÁ, Avilés-Triqueros M, Weber BH, Fernández E and Gascón AR: Dextran and protamine-based solid lipid nanoparticles as potential vectors for the treatment of X-linked juvenile retinoschisis. Hum Gene Ther. 23:345–355. 2012. View Article : Google Scholar : PubMed/NCBI

24 

Chomczynski P and Sacchi N: The single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction: Twenty-something years on. Nat Protoc. 1:581–585. 2006. View Article : Google Scholar : PubMed/NCBI

25 

Eisen MB, Spellman PT, Brown PO and Botstein D: Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA. 95:14863–14868. 1998. View Article : Google Scholar : PubMed/NCBI

26 

Tusher VG, Tibshirani R and Chu G: Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci USA. 98:5116–5121. 2001. View Article : Google Scholar : PubMed/NCBI

27 

Chen G, Wang Z, Wang D, Qiu C, Liu M, Chen X, Zhang Q, Yan G and Cui Q: LncRNADisease: A database for long-non-coding RNA-associated diseases. Nucleic Acids Res. 41:(Database issue). D983–D986. 2013. View Article : Google Scholar : PubMed/NCBI

28 

Gupta RA, Shah N, Wang KC, Kim J, Horlings HM, Wong DJ, Tsai MC, Hung T, Argani P, Rinn JL, et al: Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature. 464:1071–1076. 2010. View Article : Google Scholar : PubMed/NCBI

29 

Kogo R, Shimamura T, Mimori K, Kawahara K, Imoto S, Sudo T, Tanaka F, Shibata K, Suzuki A, Komune S, et al: Long noncoding RNA HOTAIR regulates polycomb-dependent chromatin modification and is associated with poor prognosis in colorectal cancers. Cancer Res. 71:6320–6326. 2011. View Article : Google Scholar : PubMed/NCBI

30 

Chang PY, Bjornstad KA, Rosen CJ, McNamara MP, Mancini R, Goldstein LE, Chylack LT and Blakely EA: Effects of iron ions, protons and X rays on human lens cell differentiation. Radiat Res. 164:531–539. 2005. View Article : Google Scholar : PubMed/NCBI

31 

Zhou Y, Bennett TM and Shiels A: Lens ER-stress response during cataract development in Mip-mutant mice. Biochim Biophys Acta. 1862:1433–1442. 2016. View Article : Google Scholar : PubMed/NCBI

32 

Okamura N, Ito Y, Shibata MA, Ikeda T and Otsuki Y: Fas-mediated apoptosis in human lens epithelial cells of cataracts associated with diabetic retinopathy. Med Electron Microsc. 35:234–241. 2002. View Article : Google Scholar : PubMed/NCBI

33 

Jakobs PM, Hess JF, FitzGerald PG, Kramer P, Weleber RG and Litt M: Autosomal-dominant congenital cataract associated with a deletion mutation in the human beaded filament protein gene BFSP2. Am J Hum Genet. 66:1432–1436. 2000. View Article : Google Scholar : PubMed/NCBI

34 

Zhang L, Gao L, Li Z, Qin W, Gao W, Cui X, Feng G, Fu S, He L and Liu P: Progressive sutural cataract associated with a BFSP2 mutation in a Chinese family. Mol Vis. 12:1626–1631. 2006.PubMed/NCBI

35 

Santana A, Waiswol M, Arcieri ES, de Vasconcellos Cabral JP and de Melo Barbosa M: Mutation analysis of CRYAA, CRYGC, and CRYGD associated with autosomal dominant congenital cataract in Brazilian families. Mol Vis. 15:793–800. 2009.PubMed/NCBI

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May-2018
Volume 15 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Jia Y, Xiong K, Ren HX and Li WJ: Identification of long non-coding RNA and mRNA expression in βΒ2-crystallin knockout mice. Exp Ther Med 15: 4277-4283, 2018
APA
Jia, Y., Xiong, K., Ren, H., & Li, W. (2018). Identification of long non-coding RNA and mRNA expression in βΒ2-crystallin knockout mice. Experimental and Therapeutic Medicine, 15, 4277-4283. https://doi.org/10.3892/etm.2018.5949
MLA
Jia, Y., Xiong, K., Ren, H., Li, W."Identification of long non-coding RNA and mRNA expression in βΒ2-crystallin knockout mice". Experimental and Therapeutic Medicine 15.5 (2018): 4277-4283.
Chicago
Jia, Y., Xiong, K., Ren, H., Li, W."Identification of long non-coding RNA and mRNA expression in βΒ2-crystallin knockout mice". Experimental and Therapeutic Medicine 15, no. 5 (2018): 4277-4283. https://doi.org/10.3892/etm.2018.5949