Evidence map›Paper›PMID 37667091›Full record

ArticleNature biotechnology2024

Spatial multimodal analysis of transcriptomes and metabolomes in tissues.

Marco Vicari, Reza Mirzazadeh, Anna Nilsson, Reza Shariatgorji, Patrik Bjärterot, Ludvig Larsson, Hower Lee, Mats Nilsson, Julia Foyer, Markus Ekvall and 6 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing 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

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

  1. Pooled it
  2. Review
  3. Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  4. Article
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  11. Unified representation learning for spatial multi-omics.Bioinformatics (Oxford, England) · 2026
    Article
  12. Review
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  15. Article
  16. Article
  17. Article
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  19. Article
  20. Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026
    Review

39 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

16 authors.

Marco VicariDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3042-6278
Reza MirzazadehDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
Anna NilssonDepartment of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Reza ShariatgorjiDepartment of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Patrik BjärterotDepartment of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-4350-5530
Ludvig LarssonDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
Hower LeeDepartment of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8781-3623
Mats NilssonDepartment of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9985-0387
Julia FoyerDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
Markus EkvallDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
Paulo CzarnewskiDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
Xiaoqun ZhangDepartment of Clinical Neuroscience, Section of Neurology, Karolinska Institutet, Stockholm, Sweden.
Per SvenningssonDepartment of Clinical Neuroscience, Section of Neurology, Karolinska Institutet, Stockholm, Sweden.
Lukas KällDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5689-9797
Per E AndrénDepartment of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. per.andren@uu.se.ORCID http://orcid.org/0000-0002-4062-7743
Joakim LundebergDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden. joakim.lundeberg@scilifelab.se.ORCID http://orcid.org/0000-0003-4313-1601

Funding

Hjärnfonden (Swedish Brain Foundation) FO2021-0318Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) KAW 2018.172Vetenskapsrådet (Swedish Research Council) 2020-06182Vetenskapsrådet (Swedish Research Council) 2021-03293Vetenskapsrådet (Swedish Research Council) 2022-03984Vetenskapsrådet (Swedish Research Council) 2022-04198
6 · The paper itself

Abstract

We present a spatial omics approach that combines histology, mass spectrometry imaging and spatial transcriptomics to facilitate precise measurements of mRNA transcripts and low-molecular-weight metabolites across tissue regions. The workflow is compatible with commercially available Visium glass slides. We demonstrate the potential of our method using mouse and human brain samples in the context of dopamine and Parkinson's disease.

Indexed as

BrainMetabolomeParkinson DiseaseTranscriptomeAnimalsDopamineGene Expression ProfilingHumansMass SpectrometryMetabolomicsMiceDopamine

Identifiers

PMID37667091
PMCPMC11251988

What OpenQuestion holds

Textmetadata
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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.