{"doi":"10.1016/j.dib.2020.105649","title":"Mitochondrial lipid profiling data of a traumatic optic neuropathy model","abstract":"Traumatic optic neuropathy (TON) is a degenerative process that occurs in a subset of patients following blunt force trauma to the head. This condition is characterized by retinal ganglion cell (RGC) death and axon degeneration within the optic nerve [1]. At the cellular level, mitochondrial changes are associated with many optic neuropathies [2, 3]. Here, we provide a dataset demonstrating changes in the optic nerve mitochondrial lipid profile of a sonication-induced traumatic optic neuropathy (SI-TON) mouse model at 1, 7, and 14 days after injury. 32 C57BL/6J mice were separated into 4 groups (control, 1, 7, and 14 days) of 8, with 4 males and 4 females in each. Mice were exposed to sonication-induced trauma as described previously (by Tao et al) and optic nerves were harvested at 1, 7, or 14 days following injury [4]. Mitochondria were isolated from homogenized optic nerves and lipids were extracted. Extracted mitochondrial lipids were analysed with a Q-Exactive Orbitrap Liquid Chromatography-Mass Spectrometer (LC MS-MS). Further analysis of raw data was conducted with LipidSearch 4.1.3 and Metaboanalyst 4.0. This data is publicly available at the Metabolomics Workbench, http://www.metabolomicsworkbench.org (Project ID: PR000905).","journal":"Data in Brief","year":2020,"id":121568,"datarank":0.35668508816031597,"base_score":1.9459101490553132,"endowment":1.9459101490553132,"self_citation_contribution":0.29188652235829704,"citation_network_contribution":0.06479856580201895,"self_endowment_contribution":0.29188652235829704,"citer_contribution":0.06479856580201895,"corpus_percentile":50.32876924267038,"corpus_rank":6422,"citation_count":6,"citer_count":4,"citers_with_citation_signal":4,"citers_with_endowment":4,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.6932,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":424100,"name":"Ryan A. Gallo","orcid":"0000-0002-8891-2324","position":1,"is_corresponding":false},{"id":561492,"name":"Sean D. Meehan","orcid":"0000-0002-6714-2586","position":2,"is_corresponding":false},{"id":562342,"name":"John V. Nahas","orcid":null,"position":3,"is_corresponding":false},{"id":425257,"name":"Galina Dvoriantchikova","orcid":null,"position":4,"is_corresponding":false},{"id":395477,"name":"Daniel Pelaez","orcid":"0000-0002-4483-5160","position":5,"is_corresponding":false},{"id":459071,"name":"Sanjoy K. Bhattacharya","orcid":"0000-0003-3759-647X","position":6,"is_corresponding":false},{"id":536519,"name":"Ronaldo Nuesi","orcid":"0000-0001-5997-537X","position":0,"is_corresponding":true}],"reference_count":8,"raw_metadata":null,"created_at":"2026-07-18T23:14:46.979435Z","pmid":"32426428","pmcid":"PMC7221166","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}