In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
31 authors.
Dylan BakerThe Jackson Laboratory for Genomic Medicine, Farmington, CT.
Christopher CahillJoslin Diabetes Center/Harvard Medical School, Boston, MA.
Sandra LeJoslin Diabetes Center/Harvard Medical School, Boston, MA.
Giray Naim ErylmazThe Jackson Laboratory for Genomic Medicine, Farmington, CT.
Fan WuDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD.
Pei-Hsun WuDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD.ORCID 0000-0002-7371-2960 Denis WirtzDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD.ORCID 0000-0001-6147-3045 Sara EspinozaCenter for Translational Geroscience, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0002-1116-302X Jillian L WoodworthUT Health San Antonio Transplant Center, San Antonio,TX.
Vesna D GarovicDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0001-6891-0578 James L KirklandCenter for Advanced Gerotherapeutics, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Tamar TchkoniaCenter for Advanced Gerotherapeutics, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0003-4623-7145 Nicolas MusiCenter for Translational Geroscience, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0009-0004-4063-9041 Funding
SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5MThe KAPP-Sen Tissue Mapping Center CollaborativeU54AG075941 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GAROVIC, VESNA D, KUCHEL, GEORGE A · 2021 to 2025
$13.8MSpatial Mapping Senescent Cells Across the Mouse Lifespan by Multiplex Transcriptomics and EpigenomicsU54AG079758 · NIA · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI PETER D. ADAMS, Bing Ren · 2022 to 2026
$12.1MEffect of Aging on Preadipocyte DifferentiationR37AG013925 · NIA · MAYO CLINIC ROCHESTER · PI KIRKLAND, JAMES L. · 2016 to 2025
$6.6MTranslational Geroscience NetworkR33AG061456 · NIA · MAYO CLINIC ROCHESTER · PI JAMES L. KIRKLAND, STEPHEN B. KRITCHEVSKY · 2019 to 2026
$6.2MElucidating and targeting beta-cell senescence and its SASPR01DK132535 · NIDDK · JOSLIN DIABETES CENTER · PI Cristina Aguayo-Mazzucato · 2022 to 2026
$2.1MThree-dimensional maps of senescence in the human pancreasUH3CA275681 · NCI · JOHNS HOPKINS UNIVERSITY · PI WU, PEI-HSUN · 2024 to 2025
$1.7MNCI NIH HHS UH3 CA275681NIA NIH HHS R33 AG061456NIA NIH HHS R37 AG013925NIA NIH HHS U54 AG075941NIA NIH HHS U54 AG079758NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK132535
6 · The paper itselfAbstract
Biological aging greatly impacts the body's ability to handle glucose, and represents a major risk factor the development and progression of type 2 diabetes (T2D). Nonetheless, despite advances in cellular senescence research and the development of new senolytic therapies, the heterogeneity of cellular senescence in the human endocrine pancreas, as well as its roles in normal aging, remains to be elucidated at the single-cell level. Here, we performed single-cell-resolved spatial proteomics and transcriptomics on intact pancreas from 26 donors (ages 20-80) and multiplexed single-cell RNA sequencing and functional assays on dispersed islets from 14 donors (ages 34-69). We identify two discrete SnC subpopulations distinguished by relative expression of CDKN1A and CDKN2A.
Identifiers
PMID42244625
PMCPMC13232186
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