Literature DB >> 34706646

RNA-Seq analysis in giant pandas reveals the differential expression of multiple genes involved in cataract formation.

Yuyan You1, Chao Bai2, Xuefeng Liu3, Yan Lu2, Ting Jia4, Maohua Xia4, Yanqiang Yin5, Wei Wang2, Yucun Chen6, Chenglin Zhang2, Yan Liu2, Liqin Wang7, Tianchun Pu4, Tao Ma4, Yanhui Liu4, Jun Zhou5, Lili Niu7, Suhui Xu6, Yanxia Ni4, Xin Hu2, Zengshuai Zhang4.   

Abstract

BACKGROUND: The giant panda (Ailuropoda melanoleuca) is an endangered mammalian species native to China. Fewer than 2500 giant pandas are known to exist, many of which are bred in captivity as a means to preserve and repopulate the species. Like other captive mammals, giant pandas acquire age-related cataracts, reducing their quality of life. Recent comparative genome-wide methylation analysis revealed 110 differentially methylated genes associated with cataract formation including six also associated with the formation of age-related cataracts in humans.
RESULTS: To investigate the pathological pathway in greater detail, here we used RNA-Seq analysis to investigate the differential expression profiles of genes in three giant pandas with cataracts and three healthy controls. We identified more than 700 differentially expressed genes, 29 of which were selected for further analysis based on their low q-value. We found that many of the genes encoded regulatory and signaling proteins associated with the control of cell growth, migration, differentiation and apoptosis, supporting previous research indicating a key role for apoptosis in cataract formation.
CONCLUSION: The identification of genes involved in the formation of age-related cataracts could facilitate the development of predictive markers, preventative measures and even new therapies to improve the life of captive animals.
© 2021. The Author(s).

Entities:  

Keywords:  Cataracts; Giant panda, endangered mammals; RNA-Seq

Mesh:

Year:  2021        PMID: 34706646      PMCID: PMC8555103          DOI: 10.1186/s12863-021-00996-x

Source DB:  PubMed          Journal:  BMC Genom Data        ISSN: 2730-6844


  62 in total

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Authors:  Yuyan You; Chao Bai; Xuefeng Liu; Maohua Xia; Yanqiang Yin; Yucun Chen; Wei Wang; Ting Jia; Yan Lu; Tianchun Pu; Chenglin Zhang; Xiaoguang Li; Liqin Wang; Yunfang Xiu; Lili Niu; Jun Zhou; Yang Du; Yanhui Liu; Suhui Xu
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