Evidence map›Paper›PMID 40998789›Full record

ArticleNature communications2025

FUSION: a web-based application for in-depth exploration of multi-omics data with brightfield histology.

Samuel P Border, Ricardo Melo Ferreira, Nicholas Lucarelli, Suhas Katari Chaluva Kumar, Anindya S Paul, David Manthey, Laura Barisoni, Yulia A Levites Strekalova, Jessica Ray, Ying-Hua Cheng and 17 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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 registry

The 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 literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

  • Update of
    2024
5 · Who and what money

Authors and funding

27 authors.

Samuel P BorderDepartment of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL, USA.
Ricardo Melo FerreiraDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0003-2063-9744
Nicholas LucarelliDepartment of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL, USA.
Suhas Katari Chaluva KumarDepartment of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0009-0000-4174-7440
Anindya S PaulDepartment of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL, USA.
David MantheyKitware, Inc, Clifton Park, NY, USA.ORCID http://orcid.org/0000-0002-4580-8770
Laura BarisoniDepartment of Pathology, Division of AI and Computational Pathology, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0003-0848-9683
Yulia A Levites StrekalovaCollege of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Jessica RayDepartment of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Ying-Hua ChengDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Avi Z RosenbergDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
John E TomaszewskiDepartment of Pathology & Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Sayat MimarDepartment of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-5298-6698
Jeffrey B HodginDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-0534-3048
John W HickeyDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Bei WeiDepartment of Genetics, Stanford School of Medicine, Stanford, CA, USA.
Fiona GintyGE HealthCare Technology and Innovation Center, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-6638-683X
Arivarasan KarunamurthyDepartment of Dermatology, University of Pittsburgh, Pittsburgh, PA, USA.
Juexin WangDepartment of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-2260-4310
Mauminah RainaDepartment of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN, USA.
Gloria S PryhuberDepartment of Pediatrics, Division of Neonatology, University of Rochester, Rochester, NY, USA.ORCID http://orcid.org/0000-0002-9185-3994
Jeffrey PurkersonDepartment of Pediatrics, Division of Neonatology, University of Rochester, Rochester, NY, USA.
HuBMAP consortium
Tarek M El-AchkarDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA. telachka@iu.edu.ORCID http://orcid.org/0000-0003-4645-3614
Sanjay JainDepartment of Medicine, Division of Nephrology, Washington University School of Medicine, St. Louis, MO, USA. sanjayjain@wustl.edu.ORCID http://orcid.org/0000-0003-2804-127X
Michael T EadonDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA. meadon@iu.edu.
Pinaki SarderDepartment of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL, USA. pinaki.sarder@medicine.ufl.edu.ORCID http://orcid.org/0000-0003-2450-5233

Funding

BioRepository for INvestigation of Diseases of the Lung (BRINDL) - Phase IIIU01HL148861 · NHLBI · UNIVERSITY OF ROCHESTER · PI GLORIA S PRYHUBER · 2019 to 2026
$9.7M
The Human Lung BioMolecular Multi-Scale Atlas Program (HuBMAP-Lung)U54HL165443 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2022 to 2025
$8.0M
Kidney single cell and spatial molecular atlas project - KIDSSMAPU54DK134301 · NIDDK · WASHINGTON UNIVERSITY · PI JAIN, SANJAY · 2022 to 2025
$7.8M
Integrated spatial interrogation of cellular and molecular signatures of human kidney diseaseU01DK114923 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Tarek Maurice Ashkar, Pierre C Dagher · 2022 to 2026
$5.4M
A Computational IMage Analysis Platform (CIMAP) for HuBMAPOT2OD033753 · OD · UNIVERSITY OF FLORIDA · PI JAIN, SANJAY, SARDER, PINAKI · 2022 to 2025
$4.9M
Computational Imaging of Renal Structures for Diagnosing DiabeticNephropathyR01DK114485 · NIDDK · UNIVERSITY OF FLORIDA · PI Michael Thomas Eadon, Avi Z Rosenberg · 2018 to 2026
$4.7M
Resource Development CoreU54DK137328 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI KENNETH W DUNN · 2023 to 2026
$4.5M
Computational Pathology of Proteinuric DiseasesR01DK118431 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BARISONI, LAURA MARIACHIARA, HODGIN, JEFFREY BENTON · 2018 to 2025
$3.6M
Multiscale, Multimodal Analysis of Skin and Spatial Cell OrganizationU54AR081775 · NIAMS · GENERAL ELECTRIC GLOBAL RESEARCH CTR · PI FALO, LOUIS D, GINTY, FIONA · 2022 to 2025
$2.6M
SCH: Graph-based Spatial Transcriptomics Computational Methods in Kidney DiseasesR01DK138504 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Michael Thomas Eadon, Qin Ma · 2023 to 2026
$1.1M
A Cloud Based Distributed Tool for Computational Renal PathologyR21DK128668 · NIDDK · UNIVERSITY OF FLORIDA · PI SARDER, PINAKI · 2022 to 2023
$444k
NHLBI NIH HHS U01 HL148861NHLBI NIH HHS U54 HL165443NIAMS NIH HHS U54 AR081775NIDDK NIH HHS R01 DK114485NIDDK NIH HHS R01 DK118431NIDDK NIH HHS R01 DK138504NIDDK NIH HHS R21 DK128668NIDDK NIH HHS U01 DK114923NIDDK NIH HHS U54 DK134301NIDDK NIH HHS U54 DK137328NIH HHS OT2 OD033753ODCDC CDC HHS OT2 OD033753
6 · The paper itself

Abstract

Spatial technologies examining the cell and tissue microenvironment at near single-cell resolution are revealing important molecular insights. However, few tools enable integrated, interactive analysis of spatial-omics with tissue morphology in the same functional tissue unit. Here, we present FUSION (Functional Unit State Identification in Whole Slide Images), a web-based platform for visualizing and analyzing spatial-omics data with high-resolution histology. FUSION provides workflows for assessing cell compositions, quantitative morphometrics, and comparative tissue analyses. We demonstrate applicability across spatial assays, including 10x Visium, Visium HD, 10x Xenium, Cell DIVE, and PhenoCycler, applied to healthy and diseased tissues from kidney, small intestine, lung, and skin in the Human BioMolecular Atlas Program. FUSION is cloud-based, open-source, and accessible at https://fusion.hubmapconsortium.org/ , hosting over 50 paired datasets and tutorials. In a series of use cases, we show its capacity to distinguish renal glomeruli injury states, quantify morphometric changes, and characterize fibrosis with immune infiltration.

Indexed as

Computational BiologyImage Processing, Computer-AssistedSoftwareHumansInternetIntestine, SmallKidneyLungMultiomicsSkin

Identifiers

PMID40998789
PMCPMC12462499

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.