Hyun Kyong Shon, Jin Gyeong Son, Sun Young Lee, Jeong Hee Moon, Ga Seul Lee, Kyoung-Shim Kim, Tae Geol Lee
{"title":"静态范围内ToF-SIMS与静态范围外混合SIMS(动态模式)对小鼠脑组织的比较研究。","authors":"Hyun Kyong Shon, Jin Gyeong Son, Sun Young Lee, Jeong Hee Moon, Ga Seul Lee, Kyoung-Shim Kim, Tae Geol Lee","doi":"10.1116/6.0002613","DOIUrl":null,"url":null,"abstract":"<p><p>In the study of degenerative brain diseases, changes in lipids, the main component of neurons, are particularly important because they are used as indicators of pathological changes. One method for the sensitive measurement of biomolecules, especially lipids, is time-of-flight secondary ion mass spectrometry (ToF-SIMS) using pulsed argon cluster ions. In this study, biomolecules including various lipids present in normal mouse brain tissue were measured using ToF-SIMS equipped with pulsed argon cluster primary ions. Based on the ToF-SIMS measurement results, hybrid SIMS (OrbiSIMS), which is a ToF-SIMS system with the addition of an orbitrap mass analyzer, was used to directly identify the biomolecules by the region in the real tissue samples. For this, the results of ToF-SIMS, which measured the tissue samples from a single mouse brain within static limits, were compared with those from OrbiSIMS measured beyond the static limits in terms of the differences in molecular profiling. From this analysis, two types of positive and negative ions were selected for identification, with the OrbiSIMS MS/MS results indicating that the positive ions were glycerophosphocholine and the negative ions were glycerophosphoinositol and sulfatide, a sphingolipid. Then, to confirm the identification of the molecular candidates, lipids were extracted from mirror image tissue samples, and LC-MS/MS also using an orbitrap mass analyzer was performed. As a result, the direct identification of molecular candidate groups distributed in particular regions of the tissue samples via OrbiSIMS was found to be consistent with the identification results by LC-MS/MS for extracted samples.</p>","PeriodicalId":9053,"journal":{"name":"Biointerphases","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison study of mouse brain tissue by using ToF-SIMS within static limits and hybrid SIMS beyond static limits (dynamic mode).\",\"authors\":\"Hyun Kyong Shon, Jin Gyeong Son, Sun Young Lee, Jeong Hee Moon, Ga Seul Lee, Kyoung-Shim Kim, Tae Geol Lee\",\"doi\":\"10.1116/6.0002613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In the study of degenerative brain diseases, changes in lipids, the main component of neurons, are particularly important because they are used as indicators of pathological changes. One method for the sensitive measurement of biomolecules, especially lipids, is time-of-flight secondary ion mass spectrometry (ToF-SIMS) using pulsed argon cluster ions. In this study, biomolecules including various lipids present in normal mouse brain tissue were measured using ToF-SIMS equipped with pulsed argon cluster primary ions. Based on the ToF-SIMS measurement results, hybrid SIMS (OrbiSIMS), which is a ToF-SIMS system with the addition of an orbitrap mass analyzer, was used to directly identify the biomolecules by the region in the real tissue samples. For this, the results of ToF-SIMS, which measured the tissue samples from a single mouse brain within static limits, were compared with those from OrbiSIMS measured beyond the static limits in terms of the differences in molecular profiling. From this analysis, two types of positive and negative ions were selected for identification, with the OrbiSIMS MS/MS results indicating that the positive ions were glycerophosphocholine and the negative ions were glycerophosphoinositol and sulfatide, a sphingolipid. Then, to confirm the identification of the molecular candidates, lipids were extracted from mirror image tissue samples, and LC-MS/MS also using an orbitrap mass analyzer was performed. As a result, the direct identification of molecular candidate groups distributed in particular regions of the tissue samples via OrbiSIMS was found to be consistent with the identification results by LC-MS/MS for extracted samples.</p>\",\"PeriodicalId\":9053,\"journal\":{\"name\":\"Biointerphases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biointerphases\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1116/6.0002613\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biointerphases","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1116/6.0002613","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOPHYSICS","Score":null,"Total":0}
Comparison study of mouse brain tissue by using ToF-SIMS within static limits and hybrid SIMS beyond static limits (dynamic mode).
In the study of degenerative brain diseases, changes in lipids, the main component of neurons, are particularly important because they are used as indicators of pathological changes. One method for the sensitive measurement of biomolecules, especially lipids, is time-of-flight secondary ion mass spectrometry (ToF-SIMS) using pulsed argon cluster ions. In this study, biomolecules including various lipids present in normal mouse brain tissue were measured using ToF-SIMS equipped with pulsed argon cluster primary ions. Based on the ToF-SIMS measurement results, hybrid SIMS (OrbiSIMS), which is a ToF-SIMS system with the addition of an orbitrap mass analyzer, was used to directly identify the biomolecules by the region in the real tissue samples. For this, the results of ToF-SIMS, which measured the tissue samples from a single mouse brain within static limits, were compared with those from OrbiSIMS measured beyond the static limits in terms of the differences in molecular profiling. From this analysis, two types of positive and negative ions were selected for identification, with the OrbiSIMS MS/MS results indicating that the positive ions were glycerophosphocholine and the negative ions were glycerophosphoinositol and sulfatide, a sphingolipid. Then, to confirm the identification of the molecular candidates, lipids were extracted from mirror image tissue samples, and LC-MS/MS also using an orbitrap mass analyzer was performed. As a result, the direct identification of molecular candidate groups distributed in particular regions of the tissue samples via OrbiSIMS was found to be consistent with the identification results by LC-MS/MS for extracted samples.
期刊介绍:
Biointerphases emphasizes quantitative characterization of biomaterials and biological interfaces. As an interdisciplinary journal, a strong foundation of chemistry, physics, biology, engineering, theory, and/or modelling is incorporated into originated articles, reviews, and opinionated essays. In addition to regular submissions, the journal regularly features In Focus sections, targeted on specific topics and edited by experts in the field. Biointerphases is an international journal with excellence in scientific peer-review. Biointerphases is indexed in PubMed and the Science Citation Index (Clarivate Analytics). Accepted papers appear online immediately after proof processing and are uploaded to key citation sources daily. The journal is based on a mixed subscription and open-access model: Typically, authors can publish without any page charges but if the authors wish to publish open access, they can do so for a modest fee.
Topics include:
bio-surface modification
nano-bio interface
protein-surface interactions
cell-surface interactions
in vivo and in vitro systems
biofilms / biofouling
biosensors / biodiagnostics
bio on a chip
coatings
interface spectroscopy
biotribology / biorheology
molecular recognition
ambient diagnostic methods
interface modelling
adhesion phenomena.