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SenNet Supplement - Consortium Benchmarking

SenNet Supplement - Consortium Benchmarking
SenNet 补充 - 联盟基准测试
批准号:
10842067
负责人:
Ziv Bar-Joseph
金额:
$117.72万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-22 至 2026-08-31

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中文摘要
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英文摘要
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.
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Cellular Senescence Network (SenNet) Consortium Organization and Data Coordinating Center (CODCC)
SenNet Supplement - 2 -FY 2024
SenNet Supplement CODCC
Cellular Senescence Network (SenNet) Consortium Organization and Data Coordinating Center (CODCC)
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