Evidence map›Paper›PMID 36212528›Full record

ReviewComputational and structural biotechnology journal2022

Navigating the cellular landscape in tissue: Recent advances in defining the pathogenesis of human disease.

Helen Y Chen, Umaimainthan Palendira, Carl G Feng

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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 at 1 institution in 1 country.

Helen Y ChenImmunology and Host Defence Group, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.
Umaimainthan PalendiraImmunology and Host Defence Group, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.
Carl G FengImmunology and Host Defence Group, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.
The University of Sydney · AU

Funding

Functional dynamics of TB granuloma architecture - Diversity Supplement for Kelley J. MartinezU01AI166309 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joel D. Ernst · 2022 to 2026
$3.2M
NIAID NIH HHS U01 AI166309
6 · The paper itself

Abstract

Over the past decade, our understanding of human diseases has rapidly grown from the rise of single-cell spatial biology. While conventional tissue imaging has focused on visualizing morphological features, the development of multiplex tissue imaging from fluorescence-based methods to DNA- and mass cytometry-based methods has allowed visualization of over 60 markers on a single tissue section. The advancement of spatial biology with a single-cell resolution has enabled the visualization of cell-cell interactions and the tissue microenvironment, a crucial part to understanding the mechanisms underlying pathogenesis. Alongside the development of extensive marker panels which can distinguish distinct cell phenotypes, multiplex tissue imaging has facilitated the analysis of high dimensional data to identify novel biomarkers and therapeutic targets, while considering the spatial context of the cellular environment. This mini-review provides an overview of the recent advancements in multiplex imaging technologies and examines how these methods have been used in exploring pathogenesis and biomarker discovery in cancer, autoimmune and infectious diseases.

Indexed as

Biomarker discoveryCNS, Central nervous systemCODEX, Co-detection by indexingCTLA-4, Cytotoxic T-lymphocyte-associated protein 4DSP, Digital Spatial ProfilerFF, Fresh-frozenFFPE, Formalin-fixed paraffin-embeddedFOXP3, Forkhead box P3HER2, Human epidermal growth factor receptor 2HRP, Horseradish peroxidaseIDO, Indoleamine 2,3-dioxygenaseIHC, ImmunohistochemistryIL-10, Interleukin-10IMC, Imaging Mass CytometryMCI, Mass Cytometry ImagingMIBI, Multiplexed Ion Beam ImagingMS, Multiple sclerosisMultiplex tissue imagingPathogenesisPD1, Programmed cell death protein 1PD-L1, Programmed death-ligand 1ROI, Regions of interestSARS-CoV-2, Severe acute respiratory syndrome coronavirus 2Spatial biologySpatial proteomicsT1DM, Type 1 diabetes mellitusTME, Tumor microenvironmentsTNF-α, Tumor necrosis factor alphaTOF, Time-of-flightTSA, Tyramide signal amplification

Identifiers

PMID36212528
PMCPMC9519395
OpenAlexW4295923807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.