ArticleBMC genomics2014
Retinal transcriptome profiling at transcription start sites: a cap analysis of gene expression early after axonal injury.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 26 citations in OpenAlex.
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- The sodium-bicarbonate cotransporter Slc4a5 mediates feedback at the first synapse of vision.Neuron · 2024Article
- Whole Exome Sequencing Reveals Novel Candidate Genes in Familial Forms of Glaucomatous Neurodegeneration.Genes · 2023Article
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- Differential Retinal Ganglion Cell Vulnerability, A Critical Clue for the Identification of Neuroprotective Genes in Glaucoma.Frontiers in ophthalmology · 2022Review
- Commonalities of optic nerve injury and glaucoma-induced neurodegeneration: Insights from transcriptome-wide studies.Experimental eye research · 2021Review
- Ingenuity pathway analysis of differentially expressed genes involved in signaling pathways and molecular networks in RhoE gene‑edited cardiomyocytes.International journal of molecular medicine · 2020Article
- Comprehensive identification of mRNA isoforms reveals the diversity of neural cell-surface molecules with roles in retinal development and disease.Nature communications · 2020Article
- Bioenergetic shift and actin cytoskeleton remodelling as acute vascular adaptive mechanisms to angiotensin II in murine retina and ophthalmic artery.Redox biology · 2020Article
- Systems Genetics of Optic Nerve Axon Necrosis During Glaucoma.Frontiers in genetics · 2020Article
- Maser: one-stop platform for NGS big data from analysis to visualization.Database : the journal of biological databases and curation · 2018Article
- Article
- Lens ER-stress response during cataract development in Mip-mutant mice.Biochimica et biophysica acta · 2016Article
- Transcriptome profiling of the rat retina after optic nerve transection.Scientific reports · 2016Article
- In vivo cellular imaging of various stress/response pathways using AAV following axonal injury in mice.Scientific reports · 2015Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlaucoma is characterized by progressive loss of the visual field and death of retinal ganglion cells (RGCs), a process that is mediated, in part, by axonal injury. However, the molecular pathomechanisms linking RGC death and axonal injury remain largely unknown. Here, we examined these mechanisms with a cap analysis of gene expression (CAGE), which allows the comprehensive quantification of transcription initiation across the entire genome. We aimed to identify changes in gene expression patterns and to predict the resulting alterations in the protein network in the early phases of axonal injury in mice.
resultsWe performed optic nerve crush (ONC) in mice to model axonal injury. Two days after ONC, the retinas were isolated, RNA was extracted, and a CAGE library was constructed and sequenced. CAGE data for ONC eyes and sham-treated eyes was compared, revealing 180 differentially expressed genes. Among them, the Bcat1 gene, involved in the catabolism of branched-chain amino acid transaminase, showed the largest change in expression (log2 fold-change=6.70). In some differentially expressed genes, alternative transcription start sites were observed in the ONC eyes, highlighting the dynamism of transcription initiation in a state of disease. In silico pathway analysis predicted that ATF4 was the most significant upstream regulator orchestrating pathological processes after ONC. Its downstream candidate targets included Ddit3, which is known to induce cell death under endoplasmic reticulum stress. In addition, a regulatory network comprising IFNG, P38 MAPK, and TP53 was predicted to be involved in the induction of cell death.
conclusionThrough CAGE, we have identified differentially expressed genes that may account for the link between axonal injury and RGC death. Furthermore, an in silico pathway analysis provided a global view of alterations in the networks of key regulators of biological pathways that presumably take place in ONC. We thus believe that our study serves as a valuable resource to understand the molecular processes that define axonal injury-driven RGC death.
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