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Investigating the contribution of glycans to wound healing using mass spectrometry imaging

Investigating the contribution of glycans to wound healing using mass spectrometry imaging
使用质谱成像研究聚糖对伤口愈合的贡献
批准号:
2888031
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
与脂质和蛋白质相关的糖基化过程是正常发育和组织稳态所必需的[1]。研究糖基化对于了解广泛的健康状况,包括伤口愈合非常重要。这一领域的发展受到聚糖的复杂性和研究其在生物环境中的空间组织的有限方法的阻碍。飞行时间二次离子质谱法(ToF-SIMS)可用于化学成像,以前已应用于亚微米分辨率的组织样本[2]。值得注意的是,由于西姆斯获取每个样品的全光谱,因此与聚糖、脂质和蛋白质相关的信息存在于每个分析中。PI最近证明了ToF-SIMS用于纯化糖胺聚糖(GAG)的高灵敏度化学鉴别的新应用[3]。自CI于2019年在诺丁汉推出OrbiSIMS以来,许多研究领域都受到了重大影响。其中许多已经在生物学研究领域内,包括皮肤渗透[4],干细胞中的骨生成[5]和胶质母细胞瘤肿瘤内异质性的表征[6]。气体团簇离子束和OrbiTrap分析仪的组合能够分别产生复杂的相对较大的生物二次离子和准确分析它们的能力。到目前为止的顶峰是CI应用于使用西姆斯进行从头肽测序[7]。建议将OrbiSIMS应用于GAG分析同样具有影响力。在本项目中,OrbiSIMS分析将用于皮肤样本的糖组学和蛋白质组学同时分析,以了解糖基化对组织稳态和伤口愈合的作用,从而实现识别基于聚糖的治疗以帮助伤口愈合的更大目标。WP 1-在本WP中,将评估OrbiSIMS在空间上检测皮肤组织中不同聚糖的能力。这将包括评估聚糖组成。猪皮将用作人体组织模型。通过将感兴趣的生物分子掺入组织匀浆中并使用深度分析来辅助分析。还将探索飞行时间质量分析仪,以加快分析速度。将探索各种多变量分析和化学过滤方法,以帮助数据解释。WP 2-中性丢失分析的数据的化学过滤将作为从头肽测序的一种途径进行研究,以识别感兴趣的蛋白聚糖的特征肽片段。此WP将与WP 1并行运行。WP 3-项目合作伙伴Hans Wandall(哥本哈根大学)最近开发了皮肤器官型培养物作为一种有吸引力的模型系统,提供了更简单的组织来源,适合高通量基因工程[1]。CRISPR-Cas9基因靶向已用于开发3D皮肤模型,其中系统性敲除糖基化中使用的酶。WP 1和2中开发的方法将应用于这些模型系统,重点关注糖基化对伤口愈合的作用。
英文摘要
Glycosylation processes associated with both lipids and proteins are required for normal development and tissue homeostasis[1]. Studying glycosylation is important for understanding a broad range of health conditions, including wound healing. Development in this area is hampered by the complexity of glycans and the limited methodologies for studying their spatial organisation within biological environments. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) can be used for chemical imaging and has been previously applied to tissue samples at sub-micron resolution[2]. Notably, as SIMS acquires a full spectrum for each sample, information associated with glycans, lipids and proteins is present in each analysis. The PI has recently demonstrated the novel application of ToF-SIMS for high sensitivity chemical discrimination of purified glycosaminoglycans (GAGs)[3]. Since the launch of the OrbiSIMS in Nottingham by the CI in 2019, a number of areas of research have been significantly impacted. Many of these have been within the biological research space and include skin permeation[4], osteogenesis in stem cells[5] and the characterization of glioblastoma intra-tumor heterogeneity[6]. The combination of the gas cluster ion beams and OrbiTrap analyser enable the generation of complex relatively large biological secondary ions and the capacity to analyse them accurately respectively. The pinnacle to date has been the CI's application to undertake de novo peptide sequencing using SIMS[7]. It is proposed that the application of the OrbiSIMS to GAG analysis could be equally impactful. In this project OrbiSIMS analysis will be used for simultaneous glycomic and proteomic analysis of skin samples in order to understand the role of glycosylation on tissue homoeostasis and wound healing, towards the larger goal of identifying glycan-based therapies to aid wound healing.WP1 - In this WP the ability of OrbiSIMS to spatially detect different glycans within skin tissue will be assessed. This will include assessing glycan composition. Porcine skin will be used as a model of human tissue. Analysis will be aided by spiking biomolecules of interest into tissue homogenates and the use of depth profiling. The time-of-flight mass analyser will also be explored for faster analysis. Various multivariate analysis and chemical filtering approaches will be explored to aid in data interpretation.WP2 - Chemical filtering of the data for neutral loss analysis will be investigated as a route for de novo peptide sequencing, in order to identify peptide fragments that are characteristic of proteoglycans of interest. This WP will run in parallel to WP1. WP3 - Project partner Hans Wandall (University of Copenhagen) has recently developed organotypic cultures of skin as an attractive model system that offer simpler tissue sources that are amenable to high-throughput genetic engineering[1]. CRISPR-Cas9 gene targeting has been used to develop 3D skin models with systematic knockouts of the enzymes used in glycosylation. The methodologies developed in WP1 and 2 will be applied to these model systems, focussing on the role of glycosylation on wound healing.
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