Evidence map›Paper›PMID 42475299›Full record

ArticlePloS one2026

An optimized three-laser 27-color spectral flow cytometry panel for multi-organ profiling in mice.

Hyeonji Song, Yusik Lim, Jaechul Lim

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hyeonji SongCollege of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0009-9182-0189
Yusik LimLK Bioscience Inc., Kyunggi-do, Republic of Korea.
Jaechul LimCollege of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-6075-2656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While high-dimensional flow cytometry plays critical roles in resolving complex cellular networks, there remains a scarcity of comprehensive panels for the simultaneous profiling of diverse mouse cell types, primarily due to the technical challenges of spectral overlap and the limited availability of mouse-validated reagents. To address this technical gap and resolve diverse cell populations in murine models, we designed a 27-color flow cytometry panel optimized for 3-laser spectral flow cytometers. This optimized panel enables broad and simultaneous detection of 16 distinct cell subsets from both lymphoid and myeloid lineages-including T cells, B cells, plasma cells, NK cells, innate lymphoid cells, dendritic cells, monocytes, macrophages, neutrophils, eosinophils, basophils, mast cells-along with non-immune cells, such as epithelial, endothelial, fibroblast, and neuronal-associated cells. The panel has been successfully applied to various tissues, including spleen, thymus, bone marrow, peripheral blood, mesenteric lymph nodes, peritoneal lavage fluid, gut epithelium, and lamina propria. Applying this panel to a poly(I:C) model, we successfully tracked systemic shifts in monocyte and neutrophil populations and identified a previously unrecognized, Cyp11b1-expressing immune cell subset via reporter expression. This panel will facilitate high-dimensional immune profiling on standard 3-laser cytometers, providing a robust tool for dissecting cellular landscapes across diverse contexts.

Indexed as

Flow CytometryAnimalsLasersMiceMice, Inbred C57BLMonocytesNeutrophilsSpleen

Identifiers

PMID42475299
PMCPMC13384274

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.