Evidence map›Paper›PMID 41034612›Full record

ArticleNature methods2025

Giotto Suite: a multiscale and technology-agnostic spatial multiomics analysis ecosystem.

Jiaji G Chen, Joselyn C Chávez-Fuentes, Matthew O'Brien, Junxiang Xu, Edward C Ruiz, Wen Wang, Iqra Amin, Jeffrey P Sheridan, Sujung C Shin, Sanjana V Hasyagar and 6 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Spatially Anchored Regulatory State Inference in Melanoma.bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Mapping multipathology via spatial omic integration.Current opinion in biotechnology · 2026
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Jiaji G Chen *Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4565-832X
Joselyn C Chávez-Fuentes *Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-4974-4591
Matthew O'BrienSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Junxiang XuSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Edward C RuizSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9174-5387
Wen WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-4366-933X
Iqra AminSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Jeffrey P SheridanSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID http://orcid.org/0009-0006-8486-7737
Sujung C ShinDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0009-0006-7382-6622
Sanjana V HasyagarSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID http://orcid.org/0009-0007-6194-3677
Irzam SarfrazSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Pratishtha GuckhoolDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-6888-7897
Adriana SistigDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Veronica JarzabekSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID http://orcid.org/0009-0003-0043-8598
Guo-Cheng YuanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. guo-cheng.yuan@mssm.edu.ORCID http://orcid.org/0000-0002-2283-4714
Ruben DriesSection of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA. rdries@bu.edu.ORCID http://orcid.org/0000-0001-7650-7754

Funding

A regulome and transcriptome atlas of fetal and adult human neurogenesisRF1MH128970 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, LONG, HOF, PATRICK R · 2021 to 2021
$5.5M
Spatial genomics single cell analysis of aging brainsR01AG066028 · NIA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAI, LONG, YUAN, GUO-CHENG · 2019 to 2023
$4.4M
Towards an integrated analytics solution to creating a spatially-resolved single-cell multi-omics brain atlasRF1MH133703 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS, YUAN, GUO-CHENG · 2023 to 2023
$2.6M
NIA NIH HHS R01 AG066028NIMH NIH HHS RF1 MH128970NIMH NIH HHS RF1 MH133703
6 · The paper itself

Abstract

Emerging spatial multiomics technologies provide an increasingly large amount of information content at multiple scales. However, it remains challenging to efficiently represent and harmonize diverse spatial datasets. Here we present Giotto Suite, a suite of modular packages that provides scalable and extensible end-to-end solutions for multiscale and multiomic data analysis, integration and visualization. At its core, Giotto Suite is centered around an innovative data framework, allowing the representation and integration of spatial omics data in a technology-agnostic manner. Giotto Suite integrates molecular, morphology, spatial and annotated feature information to create a responsive and flexible workflow, as demonstrated by applications to several state-of-the-art spatial technologies. Furthermore, Giotto Suite builds upon interoperable interfaces and data structures that bridge the established fields of genomics and spatial data science in R, thereby enabling independent developers to create custom-engineered pipelines. As such, Giotto Suite creates an immersive and multiscale ecosystem for spatial multiomic data analysis.

Indexed as

Computational BiologyGenomicsSoftwareEcosystemHumansMultiomicsWorkflow

Identifiers

PMID41034612
PMCPMC12510873

What OpenQuestion holds

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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.