Evidence map›Paper›PMID 37858234›Full record

ArticleGenome biology2023

Dual spatially resolved transcriptomics for human host-pathogen colocalization studies in FFPE tissue sections.

Hailey Sounart, Enikő Lázár, Yuvarani Masarapu, Jian Wu, Tibor Várkonyi, Tibor Glasz, András Kiss, Erik Borgström, Andrew Hill, Sefanit Rezene and 6 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Review
  5. Article
  6. Spatial architecture of development and disease.Nature reviews. Genetics · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Spatial-Omics Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Leave no transcripts behind.Nature reviews. Microbiology · 2024
    Article
  17. Article
  18. Review
  19. Review
  20. Article
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 at 4 institutions in 4 countries.

Hailey Sounart *Department of Gene Technology, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
Enikő Lázár *Department of Gene Technology, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
Yuvarani MasarapuDepartment of Gene Technology, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
Jian WuDepartment of Gene Technology, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
Tibor Várkonyi2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Tibor Glasz2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
András Kiss2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Erik Borgström10X Genomics, Pleasanton, CA, USA.
Andrew Hill10X Genomics, Pleasanton, CA, USA.
Sefanit RezeneDepartment of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Soham GuptaDepartment of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Aleksandra Jurek10X Genomics, Pleasanton, CA, USA.
Anezka Niesnerová10X Genomics, Pleasanton, CA, USA.
Henrik DruidDepartment of Oncology-Pathology, Karolinska Institutet, 17177, Stockholm, Sweden.
Olaf Bergmann *Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Stefania Giacomello *Department of Gene Technology, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden. stefania.giacomello@scilifelab.se.ORCID http://orcid.org/0000-0003-0738-1574
Science for Life Laboratory · SE10X Genomics (United States) · USKarolinska Institutet · SESemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technologies to study localized host-pathogen interactions are urgently needed. Here, we present a spatial transcriptomics approach to simultaneously capture host and pathogen transcriptome-wide spatial gene expression information from human formalin-fixed paraffin-embedded (FFPE) tissue sections at a near single-cell resolution. We demonstrate this methodology in lung samples from COVID-19 patients and validate our spatial detection of SARS-CoV-2 against RNAScope and in situ sequencing. Host-pathogen colocalization analysis identified putative modulators of SARS-CoV-2 infection in human lung cells. Our approach provides new insights into host response to pathogen infection through the simultaneous, unbiased detection of two transcriptomes in FFPE samples.

Indexed as

COVID-19TranscriptomeFormaldehydeHumansSARS-CoV-2Tissue FixationFormaldehydeColocalization analysisFormalin-fixed paraffin-embedded (FFPE) tissuesHost–pathogen interactionsSpatial transcriptomics

Identifiers

PMID37858234
PMCPMC10588020
OpenAlexW4387782004

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.