In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
29 authors.
Yashvardhan JainDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.ORCID 0000-0002-6300-5568 Elizabeth MaierDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.ORCID 0009-0008-3801-4973 Bruce W HerrDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.ORCID 0000-0002-6703-7647 Aleix Puig-BarbeEuropean Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.ORCID 0000-0001-6677-8489 Ellen M QuardokusDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.ORCID 0000-0001-7655-4833 Danial QaurooniDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.ORCID 0000-0001-6190-073X Samuel L EwingDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville FL 32610 USA.ORCID 0009-0008-9946-8581 Andreas BueckleDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.ORCID 0000-0002-8977-498X Quinn T EasterDepartment of Oral and Craniofacial Molecular Biology, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-8018-0405 Bruno MatuckDepartment of Oral and Craniofacial Molecular Biology, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-2132-3402 Arivarasan KarunamurthyDepartment of Dermatology & Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.ORCID 0000-0002-5739-4923 Martha Campbell-ThompsonDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville FL 32610 USA.ORCID 0000-0001-6878-1235 Kevin M ByrdDepartment of Oral and Craniofacial Molecular Biology, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-5565-0524 Katy BörnerDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.ORCID 0000-0002-3321-6137 Funding
SenNet Supplement - Consortium BenchmarkingU24CA268108 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Philip D. Blood, JONATHAN C. SILVERSTEIN · 2021 to 2026
$22.1MConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI KRETZLER, MATTHIAS · 2017 to 2021
$21.0MFlexible Hybrid Cloud Infrastructure for Seamless Integration and Use of Human Biomolecular Data and Reference Maps [1 of 5]OT2OD033759 · OD · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D., SILVERSTEIN, JONATHAN C. · 2022 to 2025
$20.4MSpatiotemporal Tumor Analytics for Guiding Sequential Targeted-Inhibitor: Immunotherapy Combinations (ST-Analytics)U54CA274509 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI ROGER S LO · 2022 to 2026
$15.6MPreCancer Atlas of Familial Adenomatous PolyposisU2CCA233311 · NCI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2018 to 2023
$11.6MKPMP Kidney Mapping and Atlas Project (KMAP)U01DK133090 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$10.4MBioRepository for INvestigation of Diseases of the Lung (BRINDL) - Phase IIIU01HL148861 · NHLBI · UNIVERSITY OF ROCHESTER · PI GLORIA S PRYHUBER · 2019 to 2026
$9.7MOmic and Multidimensional Spatial Atlas of Metastatic Breast CancerU2CCA233280 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOECKS, JEREMY · 2018 to 2023
$9.7MTechnical Development Unit 2: Intelligent Hyperspectral Imaging of Subcellular Molecular States at the Whole Organ LevelU54CA268072 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SEAN J MORRISON · 2021 to 2026
$9.1MFlexible Hybrid Cloud Infrastructure for Seamless Management of HuBMAP Resources, Including Consortium-Wide and External EngagementOT2OD026675 · OD · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D., SILVERSTEIN, JONATHAN C. · 2018 to 2021
$8.9MPre-cancer atlases of cutaneous and hematologic origin (PATCH Center)U2CCA233262 · NCI · HARVARD MEDICAL SCHOOL · PI SANTAGATA, SANDRO · 2018 to 2023
$8.7MThe Human Lung BioMolecular Multi-Scale Atlas Program (HuBMAP-Lung)U54HL165443 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2022 to 2025
$8.0MNCI NIH HHS R01 CA245313NCI NIH HHS U01 CA294514NCI NIH HHS U24 CA268108NCI NIH HHS U2C CA233262NCI NIH HHS U2C CA233280NCI NIH HHS U2C CA233311NCI NIH HHS U54 CA268072NCI NIH HHS U54 CA274509NCI NIH HHS UH3 CA257393NHLBI NIH HHS U01 HL148861NHLBI NIH HHS U54 HL165443NIAMS NIH HHS U54 AR081775NIA NIH HHS U54 AG076043NIA NIH HHS U54 AG079759NIDDK NIH HHS U01 DK133090NIDDK NIH HHS U24 DK135157NIDDK NIH HHS U2C DK114886NIDDK NIH HHS U54 DK127823NIH HHS OT2 OD026671NIH HHS OT2 OD026675NIH HHS OT2 OD030545NIH HHS OT2 OD033756NIH HHS OT2 OD033759NIH HHS OT2 OD033760NIH HHS R03 OD039970NIMH NIH HHS RF1 MH128876NIMH NIH HHS RM1 MH132648
6 · The paper itselfAbstract
Endothelial cells are ubiquitously present in the human body and line the luminal surface of blood and lymphatic vessels. The oxygen-dependence of cells impacts their proximity to blood vessels, and consequently, to endothelial cells depending on their functional properties and priorities. This paper presents cell-to-nearest-endothelial-cell distance distributions for various cell types using 399 spatially resolved omics datasets from 14 studies comprising 12 tissue types with a total of 47,349,496 cells. Additionally, we developed an open-source web-based interactive tool, Cell Distance Explorer, that allows researchers to interactively visualize cell graphs and linkages in 2D and 3D datasets. Finally, we present a hierarchical neighborhood analysis focused on the endothelial cell neighborhoods in small and large intestine datasets. This paper provides an open-access resource (datasets, tools, and analyses) to characterize and compare cell distances and cell neighborhoods in spatially resolved omics data.
Identifiers
PMID41040203
PMCPMC12485928
What OpenQuestion holds
Textmetadata
LicenceCC BY
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