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: 10530827
• 负责人: Louis D Falo
• 金额: $ 49.99万
• 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 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10530827
• 关键词: 3-Dimensional; Abdomen; Accounting; Affect; Affinity; African American; Age; Aging; Anatomy; Architecture; Atlases; Automation; Back; Biological Markers; Cells; 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; 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; Sampling; Skin; Skin Aging; Skin Tissue; Specimen; Specimen Handling; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Standardization; Three-dimensional analysis; Tissue Sample; Tissue imaging; Tissues; UV Radiation Exposure; United States National Institutes of Health; Universities; Variant; Vision; Visualization; age group; base; caucasian American; cell type; data exchange; data integration; ethnic diversity; experience; experimental study; human old age (65+); 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 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.

项目总结/摘要（总体） 我们对皮肤组织映射中心（TMC）的愿景是创建一个首创的，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 转录组学将从四个主要身体部位前瞻性采集样本，包括头部和 颈部、背部、腹部和四肢的皮肤颜色（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已经有几十年的历史了， 单重IHC或批量基因组分析。虽然皮肤图谱存在，但它们更侧重于疾病， 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， 在了解它如何作为肤色和紫外线暴露的函数而变化方面几乎没有进展。这本小说 跨越肤色和位置皮肤细胞类型的空间参考图将提供关键的新见解， 健康的皮肤特征。前瞻性样本采集提供了独特的机会， 更广泛的临床信息，可能会影响皮肤健康的数据库。尽管我们将重点关注 招募不同种族的人群，将患者标准化为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风险而开发的。使用这个量表 这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老化的影响。 该计划将由GE Research与匹兹堡大学（Pitt）合作领导， 皮肤科皮特-皮肤科部门可以接触到大量的患者和志愿者， 不同的背景，每年处理约20，000个皮肤标本。我们将利用这些人口 为了从各种解剖学上不同的皮肤位置（头部和颈部，背部， 腹部和四肢）。来自年轻和老年年龄组供体的样本以及来自 将前瞻性地收集由I-VI型菲茨帕特里克量表记录的不同肤色。GE Research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一个 皮肤的多模态2D和3D图谱。