Evidence map›Paper›PMID 37535749›Full record

ReviewScience (New York, N.Y.)2023

The dawn of spatial omics.

Dario Bressan, Giorgia Battistoni, Gregory J Hannon

Abstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 344 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
344citing papers in PubMed, 1 pooled it
–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

344 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Agentic AI for Spatial Omics.Immunology and cell biology · 2026
    Review
  19. Review
  20. Article

284 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dario BressanCancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, Cambridgeshire CB2 0RE, UK.ORCID 0000-0003-3592-699X
Giorgia BattistoniCancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, Cambridgeshire CB2 0RE, UK.ORCID 0000-0003-1257-9120
Gregory J HannonCancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, Cambridgeshire CB2 0RE, UK.ORCID 0000-0003-4021-3898

Funding

Cancer Research UK 22582Cancer Research UK A22582Wellcome Trust 110161
6 · The paper itself

Abstract

Spatial omics has been widely heralded as the new frontier in life sciences. This term encompasses a wide range of techniques that promise to transform many areas of biology and eventually revolutionize pathology by measuring physical tissue structure and molecular characteristics at the same time. Although the field came of age in the past 5 years, it still suffers from some growing pains: barriers to entry, robustness, unclear best practices for experimental design and analysis, and lack of standardization. In this Review, we present a systematic catalog of the different families of spatial omics technologies; highlight their principles, power, and limitations; and give some perspective and suggestions on the biggest challenges that lay ahead in this incredibly powerful-but still hard to navigate-landscape.

Indexed as

GenomicsAnimalsHumansMiceOrgan SpecificityResearch Design

Identifiers

PMID37535749
PMCPMC7614974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.