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NOBEL PRIZE 2026

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NIHNATIONAL CANCER INSTITUTE

Cellular Senescence Network (SenNet) Consortium Organization and Data Coordinating Center (CODCC)

Completed
Institution
UNIVERSITY OF PITTSBURGH AT PITTSBURGH, PA
Principal investigator
Jonathan C. Silverstein
Funding
$4.1M
Duration
2021–2026
Open portfolio

Moonbase score

Still being scored

Abstract

Abstract The Cellular Senescence Network Consortium (SenNet) presents unique new requirements and opportunities for organization and data coordination relative to the rapidly growing community of single-cell genomics mapping consortia including the Human BioMolecular Atlas Program Consortium (HuBMAP), the Human Cell Atlas (HCA) and the Human Tumor Atlas Network (HTAN). In particular, SenNet focuses on discovery, induction, and mapping of specific physiology at the cellular and molecular level, under a variety of normal, experimental and disease conditions, not “just” a catalog of normal, murine, or cancer tissues. This substantially increases the value of engagement and collaboration among the teams that constitute SenNet. Specifically, investigators among the Consortium Organization and Data Coordination Center (CODCC), Tissue Management Centers (TMCs), and Technology Development (TTDs), as well as the broader community of Cellular Senescence (CS) scientists and innovators, will need to work together to common purpose to achieve a multiyear strategy of human impact. SenNet will also need senescent cells to cooperate to reveal their biology. These are an understudied set of cells and phenotypes that are fluid in many ways we do not yet understand, but yet may have profound impact on our ability to address a variety of conditions with tremendous burden of disease across organ systems (e.g. neurological deterioration, cancer control, and even aging). SenNet, distinct from other single-cell genomics consortia, will need more shared focus upon prioritizing experiments jointly performed and/or replicated among laboratories, prioritizing tight focus on specific cells, and addressing changes, pathways, and trajectories cells may take over time. SenNet will ultimately require changing the conception of single-cell -omics maps to include dynamics in time, space and function, and will feed these back onto the other efforts.

Research team

  • Philip D. BloodPI
  • Jonathan C. SilversteinPI

LOADING MOONBASE SCORE

NATIONAL CANCER INSTITUTEU24Special Emphasis Panel[ZRG1-CB-T(71)R]sennetsenescenceatlasconsortiaconsortiumsingle-cell genomicscellular senescenceprioritizing

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