Evidence map›Paper›PMID 42006378›Full record

ArticleiScience2026

Robust single-molecule tracking of RNA abundance and dynamics via TSSOT.

Yulin Luo, Yujuan Fu, Jianghu Wang, Sihui Li, Tianyi Cheng, Chengying Pi, Chuhan Qiao, Wei Zou, Nan Liu, Xiaoyue Wang and 1 more

Abstract read
In one paragraph

Article in iScience, 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

11 authors.

Yulin LuoBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.
Yujuan FuBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.
Jianghu WangBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.
Sihui LiBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.
Tianyi ChengBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.
Chengying PiBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.
Chuhan QiaoBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.
Wei ZouThe Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China.
Nan LiuLiangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China.
Xiaoyue WangThe State Key Laboratory of Southwest Karst Mountain Biodiversity Conservation of Forestry Administration, School of Life Science, Guizhou Normal University, Guiyang, China.
Baohui ChenBone Marrow Transplantation Center of the First Affiliated Hospital and Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-RNA imaging in living cells offers precise insights into the spatiotemporal regulation of gene expression. However, achieving stable, efficient, and reproducible RNA labeling remains challenging. To address this, we developed TSSOT (tandem split-mNeonGreen-based signal-optimized mRNA tracking), a robust live-cell imaging system that ensures consistent RNA labeling across multiple cell passages and provides highly reproducible, quantitative measurements at single-molecule resolution within individual cells. Leveraging TSSOT, we assessed the efficacy of various gene manipulation techniques and identified critical factors influencing Cas13d-mediated RNA cleavage. TSSOT further demonstrated that downregulation of mRNA export factors NXF1 and ALYREF leads to profound nuclear mRNA export defects. Furthermore, we employed TSSOT to spatiotemporally resolve the dynamic redistribution of mRNAs during stress granule formation. By providing precise quantification of RNA abundance, spatial organization, and temporal behavior, TSSOT is a valuable tool for live-cell RNA analysis, contributing to a better understanding of the dynamic RNA landscape.

Indexed as

Biological sciencesMolecular biologyMolecular biology experimental approach

Identifiers

PMID42006378
PMCPMC13091547

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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.