Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Aged murine bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes.
PMID 41592025 · PMC13038201 · The Journal of clinical investigation · 2026 · 7 claims · 8 setups
Myeloid-lineage cells (monocytes, macrophages, myeloid progenitors) show the highest expression of p16 and SASP markers among bone marrow immune cell types in aged mice
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Single-Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys.
PMID 41556329 · PMC13042567 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 7 claims · 8 setups
GZMB is markedly upregulated across multiple cell types in aged rhesus monkeys and serves as a candidate biomarker of immunosenescence
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Epigenetic profiling of hematopoietic stem cells from male mice identifies KDR and PU.1 as regulators of aging transcriptome and caloric restriction response.
PMID 41720793 · PMC13035812 · Nature communications · 2026 · 8 claims · 8 setups
Lifelong CR reduces white blood cell production and shifts hematopoiesis toward myeloid and thrombo-erythroid lineages while suppressing lymphoid output
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Has reproduction · 50
Distinct senotypes in p16- and p21-positive cells across human and mouse aging tissues.
PMID 41162753 · PMC12669595 · The EMBO journal · 2025 · 7 claims · 8 setups
p16+ and p21+ senescent cells represent largely distinct, non-overlapping populations across murine and human aging tissues
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PURE-seq integrates FACS and PIP-seq for single-cell genomics of ultra-rare cells.
PMID 41565684 · PMC12881479 · Nature communications · 2026 · 8 claims · 8 setups
PURE-seq integrates FACS sorting directly into PIP-seq barcoding reaction tubes, minimizing manual handling and cell loss for rare-cell single-cell sequencing.