Evidence map›Paper›PMID 41001652›Full record

ArticleJACS Au2025

Sequential, Multiplexed Immunofluorescent Imaging of Live Cells Based on DNA-Mediated Reversible Fluorophore Attachment/Detachment with Antibodies.

Li Xu, Yuki Maeda, Noriko Nakamura, Seiichi Ohta

Abstract read
In one paragraph

Article in JACS Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Li XuDepartment of Bioengineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Yuki MaedaDepartment of Bioengineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Noriko NakamuraDepartment of Bioengineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID https://orcid.org/0000-0002-0037-8973
Seiichi OhtaDepartment of Bioengineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.ORCID https://orcid.org/0000-0002-4775-8199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the spectral overlap of fluorophores, traditional immunofluorescence imaging is limited by the number of proteins that can be imaged simultaneously. Although sequential imaging techniques have been proposed, in which repeated staining and destaining are performed to obtain the merged image of several proteins, they are applied only to fixed cells presumably due to their harsh conditions. Therefore, observation and analysis of live cells have not been achieved with the sequential imaging approach. In this study, we develop a sequential, multiplexed immunofluorescence imaging method for live cells using DNA as a detachable linker to bind antibodies to fluorophores. The use of toehold-mediated strand displacement of DNAs enables the attachment and detachment of fluorophores under mild physiological conditions. Consequently, at least six imaging cycles and the simultaneous use of three different fluorophores are demonstrated in live A431 and A549 cells, indicating the potential of imaging numerous protein markers in a single sample. Furthermore, by performing sequential staining at different time points, the dynamic expression changes of multiple proteins (EGFR, CD44, and Integrin β1) during EGF stimulation can also be detected. This approach is expected to facilitate comprehensive analysis of complex protein networks and their spatiotemporal regulation in live cells.

Indexed as

DNAlive cellprotein expressionself-assemblysequential imaging

Identifiers

PMID41001652
PMCPMC12457991

What Socratic 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 Socratic graph.