This page highlights the breadth of modern biomedicine across SenNet and HuBMAP, from cellular senescence mechanisms and geroscience, to cutting-edge single-cell and spatial technologies, AI-enabled discovery, and construction of the Human Reference Atlas. The papers span aging biology, immunology, disease microenvironments, multi-omics studies, chromatin architecture, proteomics, and methodological standards, reflecting a rapidly evolving landscape aimed at mapping human tissues, decoding cellular heterogeneity, and advancing precision medicine.

SenNet Google Scholar Profile with Citations
SenNet NIH Funded Papers from PubMed

SenNet Consortium Featured Publications

Advancing biological understanding of cellular senescence with computational multiomics

  • Published in Nature Genetics on September 15, 2025, featuring the work of several SenNet authors.
  • Additional supporting information can be found here.

3D Human Reference Atlas Construction and Usage

  • Published in Nature Methods on March 13, 2025, featuring the work of several SenNet authors.
  • Additional supporting information can be found here.

SenNet recommendations for detecting senescent cells in different tissues

  • Published in Nature Reviews Molecular Cell Biology on June 03, 2024.
  • Written through collaboration with the SenNet Biomarkers Working Group.

FICTURE: scalable segmentation-free analysis of submicron-resolution spatial transcriptomics

  • Published in Nature Methods on September 12, 2024.
  • Written in collaboration with TDA – University of Michigan.

Recovering single-cell expression profiles from spatial transcriptomics with scResolve

  • Published in Cell Reports Methods on October 21, 2024.
  • Written in partnership between TMC – University of Pittsburgh and CODCC.

Spatial mapping of cellular senescence: emerging challenges and opportunities

  • Published in Nature Aging on July 03, 2023.

Guidelines for minimal information on cellular senescence experimentation in vivo

  • Published in Cell on August 8, 2024.
  • Written in partnership between SenNet and ICSA.

SenNet Publications Search in PubMed

Please place your search term(s) before “AND”. Your entry will search among SenNet Consortium papers in PubMed syntax. To help you choose search terms, this image is a word cloud of National Library of Medicine MESH Index frequencies among SenNet Consortium papers (including a SenNet award number).