Multiscale, Multimodal Analysis of Skin and Spatial Cell Organization

皮肤和空间细胞组织的多尺度、多模式分析

• 批准号: 10708913
• 负责人: Louis D Falo
• 金额: $ 1.8万
• 依托单位: GENERAL ELECTRIC GLOBAL RESEARCH CTR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-22 至 2023-09-27
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10708913
• 关键词: 3-Dimensional; Abdomen; Accounting; Affect; Affinity; African American; Age; Aging; Anatomy; Architecture; Atlases; Automation; Back; Biological Markers; Cells; Certification; Characteristics; Clinical; Clinical Laboratory Improvement Amendments; Collaborations; Communities; Custom; Data; Data Analyses; Data Set; Databases; Dermatology; Dermatopathology; Diagnostic; Disease; Elderly; Feedback; Florida; Fluorescence; Fostering; Freezing; Frozen Sections; Generations; Genomics; Goals; Head and neck structure; Health; Human BioMolecular Atlas Program; Image; Immunofluorescence Immunologic; Immunohistochemistry; Laboratories; Lead; Leadership; Limb structure; Location; Maps; Morphology; Outcome; Pathology; Patients; Persons; Phase; Phototherapy; Population; Population Heterogeneity; Process; Prospective cohort; Publications; Quality Control; Reagent; Recording of previous events; Reporting; Research; Resolution; Resources; Risk Assessment; Sampling; Skin; Skin Aging; Skin Tissue; Specimen; Specimen Handling; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Standardization; Three-dimensional analysis; Tissue Sample; Tissue imaging; UV Radiation Exposure; United States National Institutes of Health; Universities; Variant; Vision; Visualization; age group; caucasian American; cell type; data exchange; data integration; ethnic diversity; experience; experimental study; insight; lipidomics; member; multimodal data; multimodality; multiple omics; multiplexed imaging; nano-string; novel; novel strategies; programs; prospective; quality assurance; recruit; repository; sample collection; screening; single cell analysis; skin color; spatial relationship; technology development; tissue fixing; tissue mapping; tool; transcriptomics; ultraviolet damage; volunteer; working group

PROJECT SUMMARY/ABSTRACT (OVERALL) Our vision for the Skin Tissue Mapping Center (TMC) is to create a first-of-its-kind, comprehensive, 2D and 3D spatially-resolved multi-omic spatial atlas of normal skin comprising cell types, lipidomics, and transcriptomics. Samples will be prospectively collected from four major body locations including head and neck, back, abdomen and extremities across the continuum of skin colors (using the more objective Fitzpatrick scale). Many of the original studies on skin cell types are now several decades old and conducted using singleplex IHC or bulk genomic analysis. Although skin atlases exist, they are more focused on disease, and tend to be lacking in diversity and variation of skin tones. Skin aging is a dynamic process in which there has been little advancement in understanding how it varies as a function of skin tone and UV exposure. This novel spatial reference map of skin cell types spanning skin tone and location will provide critical new insights into healthy skin characteristics. Prospective sample collection provides the unique opportunity to custom build a database with more extensive clinical information that may affect skin health. Although we will focus on recruitment of an ethnically diverse population, patients will be standardized to the 6-point Fitzpatrick skin color scale, which was originally developed to assess risk of UV damage from phototherapy. Using this scale allows us to take a more objective approach to assessing differences in skin health and effects of UV and aging. This program will be led by GE Research in collaboration with the University of Pittsburgh (Pitt)-Department of Dermatology. Pitt-Department of Dermatology has access to a large patient and volunteer population with diverse backgrounds, with about 20,000 skin specimens processed every year. We will leverage this population to collect up to 96 well-curated samples from various anatomically-distinct skin locations (head and neck, back, abdomen and extremities). Samples from donors across younger and elderly age groups and from persons of diverse skin colors, as recorded by Fitzpatrick scale types I-VI, will be prospectively collected. GE Research will be responsible for spatial single-cell analysis and integration of lipidomics and spatial transcriptomics into a multi-modal 2D and 3D atlas of skin.

项目摘要/摘要（总体） 我们对皮肤组织绘图中心 (TMC) 的愿景是创建一个史无前例的、全面的 2D 和 3D 正常皮肤的空间分辨多组学空间图谱，包括细胞类型、脂质组学和 转录组学。样本将前瞻性地从四个主要身体部位采集，包括头部和 颈部、背部、腹部和四肢跨越肤色的连续体（使用更客观的菲茨帕特里克 规模）。许多关于皮肤细胞类型的原始研究现在已经有几十年的历史了，并且是使用 单重 IHC 或批量基因组分析。尽管存在皮肤图谱，但它们更关注疾病，并且 往往缺乏肤色的多样性和变化。皮肤老化是一个动态的过程，其中 在理解它如何随着肤色和紫外线照射而变化方面进展甚微。这部小说 跨越肤色和位置的皮肤细胞类型的空间参考图将为以下方面提供重要的新见解 健康的皮肤特征。前瞻性样品收集提供了定制构建的独特机会 数据库包含可能影响皮肤健康的更广泛的临床信息。尽管我们将重点放在 招募不同种族的人群，患者将被标准化为 6 点菲茨帕特里克皮肤 色标，最初是为了评估光疗造成的紫外线损伤的风险而开发的。使用这个量表 使我们能够采取更客观的方法来评估皮肤健康的差异以及紫外线和衰老的影响。 该项目将由 GE Research 与匹兹堡大学（皮特）系合作领导 皮肤科。皮特皮肤科拥有大量患者和志愿者群体， 背景多样，每年处理约 20,000 个皮肤标本。我们将利用这个人口 从不同解剖学上不同的皮肤位置（头部和颈部、背部、 腹部和四肢）。样本来自年轻和老年年龄组的捐赠者以及以下人群 将前瞻性地收集菲茨帕特里克等级 I-VI 记录的不同肤色。通用电气研究部将 负责空间单细胞分析并将脂质组学和空间转录组学整合到 多模式 2D 和 3D 皮肤图集。