Evidence map›Paper›PMID 35967449›Full record

ArticleFrontiers in immunology2022

A robust experimental and computational analysis framework at multiple resolutions, modalities and coverages.

M Tran, S Yoon, M Teoh, S Andersen, P Y Lam, B W Purdue, A Raghubar, S J Hanson, K Devitt, K Jones and 7 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Spatial Transcriptomic Analyses of Spermatogenesis.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. EndothelialResearch square · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Frontiers in immunology · 2022
    Observational
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

17 authors.

M TranInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
S YoonGenome Innovation Hub, The University of Queensland, Brisbane, QLD, Australia.
M TeohInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
S AndersenGenome Innovation Hub, The University of Queensland, Brisbane, QLD, Australia.
P Y LamInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
B W PurdueGenome Innovation Hub, The University of Queensland, Brisbane, QLD, Australia.
A RaghubarInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
S J HansonSchool of Medical Science, Menzies Health Institute, Griffith University, Gold Coast, QLD, Australia.
K DevittThe University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
K JonesInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
S WaltersSchool of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia.
J MonkmanThe University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
A KulasingheThe University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Z K TuongThe University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
H P SoyerThe University of Queensland Diamantina Institute, Dermatology Research Center, The University of Queensland, Brisbane, QLD, Australia.
I H FrazerThe University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Q NguyenInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to study cancer-immune cell communication across the whole tumor section without tissue dissociation is needed, especially for cancer immunotherapy development, which requires understanding of molecular mechanisms and discovery of more druggable targets. In this work, we assembled and evaluated an integrated experimental framework and analytical process to enable genome-wide scale discovery of ligand-receptors potentially used for cellular crosstalks, followed by targeted validation. We assessed the complementarity of four different technologies: single-cell RNA sequencing and Spatial transcriptomic (measuring over >20,000 genes), RNA

Indexed as

Single-Cell AnalysisTranscriptomeLigandsRNASequence Analysis, RNALigandsRNAcell-cell interactiondata integrationinteraction analysisskin cancerspatial

Identifiers

PMID35967449
PMCPMC9373800

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.