In one paragraphArticle in bioRxiv : the preprint server for biology, 2024. 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
5 · Who and what moneyAuthors and funding
21 authors.
Katy BörnerDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-3321-6137 Jonathan C SilversteinDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0002-9252-6039 Matthew RuffaloRay and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0003-2222-6169 John W HickeyDepartment of Biomedical Engineering, Duke University, Durham, NC, USA; New York Genome Center, New York, NY, USA.ORCID 0000-0001-9961-7673 Yashvardhan JainDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-6300-5568 Danial QaurooniDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0001-6190-073X Yongxin KongDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID 0009-0006-1887-9860 HRA Team
Andreas BueckleDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-8977-498X Bruce W HerrDepartment of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-6703-7647 Funding
VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8MCenter for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1MSenNet Supplement - Consortium BenchmarkingU24CA268108 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Philip D. Blood, JONATHAN C. SILVERSTEIN · 2021 to 2026
$22.1MCentral Hub for Kidney Precision MedicineU24DK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI Jonathan Himmelfarb, Matthias Kretzler · 2022 to 2026
$21.1MConProject-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
$20.4MThe Duke Senescent Cell Evaluations in Normal Tissues (SCENT) Mapping CenterU54AG075936 · NIA · DUKE UNIVERSITY · PI LEE, PATTY J · 2021 to 2025
$12.7MSenescent cell mapping, identification and validation for human somatic and reproductive tissuesU54AG075932 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI Simon Melov, Birgit Schilling · 2021 to 2026
$12.5MBioRepository for INvestigation of Diseases of the Lung (BRINDL) - Phase IIIU01HL148861 · NHLBI · UNIVERSITY OF ROCHESTER · PI GLORIA S PRYHUBER · 2019 to 2026
$9.7MFlexible 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
$8.9MThe Human Lung BioMolecular Multi-Scale Atlas Program (HuBMAP-Lung)U54HL165443 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2022 to 2025
$8.0M3D Multiscale Biomolecular Human Reference Atlas Construction, Visualization and Usage [4 of 5]OT2OD033756 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI BORNER, KATY · 2022 to 2025
$7.4MNCI NIH HHS U24 CA268108NHGRI NIH HHS RM1 HG011014NHLBI NIH HHS U01 HL148861NHLBI NIH HHS U54 HL165443NIA NIH HHS U54 AG075932NIA NIH HHS U54 AG075936NIDDK NIH HHS U24 DK114886NIDDK NIH HHS U24 DK135157NIDDK NIH HHS U2C DK114886NIEHS NIH HHS P30 ES001247NIH HHS OT2 OD026671NIH HHS OT2 OD026673NIH HHS OT2 OD026675NIH HHS OT2 OD026682NIH HHS OT2 OD033756NIH HHS OT2 OD033759NIH HHS OT2 OD033760NIH HHS OT2 OD033761NIH HHS R03 OD036499
6 · The paper itselfAbstract
The Human BioMolecular Atlas Program (HuBMAP) aims to construct a reference 3D structural, cellular, and molecular atlas of the healthy adult human body. The HuBMAP Data Portal (https://portal.hubmapconsortium.org) serves experimental datasets and supports data processing, search, filtering, and visualization. The Human Reference Atlas (HRA) Portal (https://humanatlas.io) provides open access to atlas data, code, procedures, and instructional materials. Experts from more than 20 consortia are collaborating to construct the HRA's Common Coordinate Framework (CCF), knowledge graphs, and tools that describe the multiscale structure of the human body (from organs and tissues down to cells, genes, and biomarkers) and to use the HRA to understand changes that occur at each of these levels with aging, disease, and other perturbations. The 6th release of the HRA v2.0 covers 36 organs with 4,499 unique anatomical structures, 1,195 cell types, and 2,089 biomarkers (e.g., genes, proteins, lipids) linked to ontologies and 2D/3D reference objects. New experimental data can be mapped into the HRA using (1) three cell type annotation tools (e.g., Azimuth) or (2) validated antibody panels (OMAPs), or (3) by registering tissue data spatially. This paper describes the HRA user stories, terminology, data formats, ontology validation, unified analysis workflows, user interfaces, instructional materials, application programming interface (APIs), flexible hybrid cloud infrastructure, and previews atlas usage applications.
Identifiers
PMID38826261
PMCPMC11142047
What OpenQuestion holds
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LicenceCC BY
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