SenNet Supplement - Consortium Benchmarking

项目摘要 补编的目的是促进CODCC行政核心(C分节： 行政核心：包括财团协调和外联)在两个领域：1.比较 空间转录组学和蛋白质组学技术在同一组织上的表现，以及 2.比较相同模式在不同组织上的表现。《森奈特》 该联盟正在共同努力开发和应用多种空间成像技术 研究衰老组织中细胞衰老的分子和细胞异质性。 然而，该财团面临的一个主要障碍是围绕着能力的不确定性 使用了各种技术来强有力地描述不同组织中衰老细胞的特征 纸巾。为了应对这一挑战，Sennet财团将共同努力 为了测试不同空间组学技术在同一人体组织上的有效性 不同的部位，以及测试其在不同组织的有效性。这一努力的目的是 要实现以下几个目标：第一，确定与衰老相关的健壮性 基于平台的标记物检测，其次，提取各种信息 来自同一组织的衰老。该联合体范围内的基准项目将专注于 提供单细胞分辨率的空间组学技术。这种方法是基于当前 了解衰老细胞在衰老组织中的丰度相对较低 需要使用能够准确检测单个衰老细胞和 将它们与周围的细胞区分开来。通过严格测试High Plex的健壮性 已经在Sennet联盟内跨多个站点和组织使用的技术，我们 将决定哪种技术在检测衰老细胞方面最准确和最有信息量 在不同的组织中。

Project Abstract The purpose of the Supplement is to further the CODCC Administrative Core (Sub-Section C: Administrative Core: Including Consortium Coordination & Outreach) in two areas: 1. comparing the performance of spatial transcriptomics and proteomics techniques on the same tissue, and 2. comparing the performance of the same modality on different tissues. The SenNet consortium is working together to develop and apply multiple spatial imaging technologies to investigate the molecular and cellular heterogeneity of cellular senescence in aged tissues. However, one major obstacle faced by the consortium is the uncertainty surrounding the ability of the various technologies being employed to robustly characterize senescent cells in different tissues. To address this challenge, the SenNet consortium will undertake a collaborative effort to test the effectiveness of various spatial omics technologies on the same human tissue across different sites, as well as to test their effectiveness across different tissues. This endeavor aims to accomplish several goals: firstly, to determine the robustness of senescence-associated marker detection based on the platform, secondly, to extract diverse information about senescence from the same tissue. This consortium-wide benchmarking project will focus on spatial omics techniques that offer single-cell resolution. This approach is based on the current understanding that senescent cells are present in relatively low abundance in aged tissues and the need to use technologies that can accurately detect individual senescent cells and differentiate them from surrounding cells. By rigorously testing the robustness of high-plex technologies already in use within the SenNet Consortium across multiple sites and tissues, we will determine which techniques are most accurate and informative in detecting senescent cells in different tissues.