Evidence map›Paper›PMID 22863836›Full record

ArticleImmunity2012

Histo-cytometry: a method for highly multiplex quantitative tissue imaging analysis applied to dendritic cell subset microanatomy in lymph nodes.

Michael Y Gerner, Wolfgang Kastenmuller, Ina Ifrim, Juraj Kabat, Ronald N Germain

Abstract read
In one paragraph

Article in Immunity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 279 papers.

0numbers the graph read from it
0cells of the map it votes in
279citing 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

279 citing papers in PubMed.

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  10. Review
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  12. Review
  13. Review
  14. CIMT 2025: Report on the 22Human vaccines & immunotherapeutics · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

219 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

5 authors.

Michael Y GernerLymphocyte Biology Section, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. gernermy@niaid.nih.gov
Wolfgang Kastenmuller
Ina Ifrim
Juraj Kabat
Ronald N Germain

Funding

Multiscale Analysis of Immune ResponsesZIAAI000545 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GERMAIN, RONALD N · 2009 to 2025
$29.4M
Intramural NIH HHS ZIA AI000545
6 · The paper itself

Abstract

Flow cytometry allows highly quantitative analysis of complex dissociated populations at the cost of neglecting their tissue localization. In contrast, conventional microscopy methods provide spatial information, but visualization and quantification of cellular subsets defined by complex phenotypic marker combinations is challenging. Here, we describe an analytical microscopy method, "histo-cytometry," for visualizing and quantifying phenotypically complex cell populations directly in tissue sections. This technology is based on multiplexed antibody staining, tiled high-resolution confocal microscopy, voxel gating, volumetric cell rendering, and quantitative analysis. We have tested this technology on various innate and adaptive immune populations in murine lymph nodes (LNs) and were able to identify complex cellular subsets and phenotypes, achieving quantitatively similar results to flow cytometry, while also gathering cellular positional information. Here, we employ histo-cytometry to describe the spatial segregation of resident and migratory dendritic cell subsets into specialized microanatomical domains, suggesting an unexpected LN demarcation into discrete functional compartments.

Indexed as

AnimalsAntigens, CDChimeraDendritic CellsFlow CytometryHumansImmunohistochemistryLymph NodesLymphocyte ActivationMiceMice, Inbred C57BLMice, TransgenicMicroscopy, ConfocalMicroscopy, FluorescenceT-LymphocytesAntigens, CD

Identifiers

PMID22863836
PMCPMC3514885

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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.