Evidence map›Paper›PMID 36414691›Full record

ReviewSeminars in immunopathology2023

Highly multiplexed spatial profiling with CODEX: bioinformatic analysis and application in human disease.

Wilson Kuswanto, Garry Nolan, Guolan Lu

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026
    Review
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  12. Article
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  15. Prostaglandin IThe Journal of allergy and clinical immunology · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. bioRxiv : the preprint server for biology · 2025
    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

3 authors.

Wilson KuswantoDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, 94304, USA.
Garry NolanDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94304, USA.
Guolan LuDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94304, USA. guolanlu@stanford.edu.ORCID 0000-0002-5023-3465

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
Integrating Spatial Omics and Drug Imaging to Dissect the Role of Pancreatic Tumor Microenvironment in Drug ResistanceR00CA267171 · NCI · STANFORD UNIVERSITY · PI Guolan Lu · 2024 to 2026
$747k
Integrating Spatial Omics and Drug Imaging to Dissect the Role of Pancreatic Tumor Microenvironment in Drug ResistanceK99CA267171 · NCI · STANFORD UNIVERSITY · PI LU, GUOLAN · 2022 to 2023
$295k
NCI NIH HHS K99 CA267171NCI NIH HHS K99CA267171NCI NIH HHS P30 CA124435NCI NIH HHS R00 CA267171NIAMS NIH HHS L30 AR079827NIAMS NIH HHS L30AR079827
6 · The paper itself

Abstract

Multiplexed imaging, which enables spatial localization of proteins and RNA to cells within tissues, complements existing multi-omic technologies and has deepened our understanding of health and disease. CODEX, a multiplexed single-cell imaging technology, utilizes a microfluidics system that incorporates DNA barcoded antibodies to visualize 50 + cellular markers at the single-cell level. Here, we discuss the latest applications of CODEX to studies of cancer, autoimmunity, and infection as well as current bioinformatics approaches for analysis of multiplexed imaging data from preprocessing to cell segmentation and marker quantification to spatial analysis techniques. We conclude with a commentary on the challenges and future developments for multiplexed spatial profiling.

Indexed as

Computational BiologyMultiomicsSingle-Cell AnalysisAutoimmune DiseasesHumansInfectionsMicrofluidicsNeoplasmsCell segmentationCellular neighborhoodsCODEXSpatial analysisSpatial profilingTissue immunology

Identifiers

PMID36414691
PMCPMC9684921

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.