Protocol for quantifying chromatin DNA replication by multiplex labeling and single-molecule localization microscopy.

Zhiguang Xiao, Xiaodong Guan, Yujie Sun, Mengling Zhang, Qian Peter Su

Abstract read

In one paragraph

Article in STAR protocols, 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

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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

5 authors.

Zhiguang XiaoNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China; State Key Laboratory of Membrane Biology & Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing 100871, China. Electronic address: xiaozhiguang@stu.pku.edu.cn.

Xiaodong GuanNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China; State Key Laboratory of Membrane Biology & Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing 100871, China; School of Life Sciences, Peking University, Beijing 100871, China. Electronic address: guanxd@stu.pku.edu.cn.

Yujie SunNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China; State Key Laboratory of Membrane Biology & Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing 100871, China; School of Life Sciences, Peking University, Beijing 100871, China.

Mengling ZhangNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China; State Key Laboratory of Membrane Biology & Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing 100871, China; School of Life Sciences, Peking University, Beijing 100871, China; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA. Electronic address: mz678@cornell.edu.

Qian Peter SuSchool of Biomedical Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia. Electronic address: qian.su@uts.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a protocol for imaging and quantifying chromatin DNA replication-associated signals in synchronized mammalian cells. We describe steps for cell-cycle enrichment, nucleoside analog-based metabolic labeling, and fluorescence detection. We then detail the procedure for dual-color STORM imaging and SR-Tesseler-based cluster analysis. It can be adapted to distinct questions in DNA replication biology by modifying synchronization schemes, pulse durations, labeling strategies, fluorescence detection channels, or analysis parameters. For complete details on the use and execution of this protocol, please refer to Zhang et al.

Indexed as

BiophysicsCell BiologyGenomics

Identifiers

PMID42842375

DOI10.1016/j.xpro.2026.104882

PMCPMC13676695

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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.