Evidence map›Paper›PMID 28139645›Full record

ArticleCell research2017

Visualization of aging-associated chromatin alterations with an engineered TALE system.

Ruotong Ren, Liping Deng, Yanhong Xue, Keiichiro Suzuki, Weiqi Zhang, Yang Yu, Jun Wu, Liang Sun, Xiaojun Gong, Huiqin Luan and 12 more

Abstract read
In one paragraph

Article in Cell research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Causality of Aging Hallmarks.Aging and disease · 2025
    Review
  11. Article
  12. Review
  13. Genomic Instability and Epigenetic Changes during Aging.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Biomarkers of aging.Science China. Life sciences · 2023
    Review
  16. Roles of ribosomal RNA in health and disease.Frontiers in RNA research · 2023
    Article
  17. Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Ruotong RenNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Liping DengNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Yanhong XueNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Keiichiro SuzukiGene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.
Weiqi ZhangNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Yang YuDepartment of Gynecology and Obstetrics, Peking University Third Hospital, Beijing 100191, China.
Jun WuGene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.
Liang SunThe MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Xiaojun GongDepartment of Pediatrics, Beijing Shijitan Hospital Capital Medical University, Peking University Ninth School of Clinical Medicine, Beijing 100038, China.
Huiqin LuanNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Fan YangKey Laboratory of Regenerative Medicine of Ministry of Education, Institute of Aging and Regenerative Medicine, Jinan University, Guangzhou, Guangdong 510632, China.
Zhenyu JuInstitute of Aging Research, Hangzhou Normal University School of Medicine, Hangzhou, Zhejiang 311121, China.
Xiaoqing RenNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Si WangNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Hong TangDepartment of Pediatrics, Beijing Shijitan Hospital Capital Medical University, Peking University Ninth School of Clinical Medicine, Beijing 100038, China.
Lingling GengNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Weizhou ZhangDepartment of Pathology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.
Jian LiThe MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing 100730, China.
Jie QiaoDepartment of Gynecology and Obstetrics, Peking University Third Hospital, Beijing 100191, China.
Tao XuNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Jing QuUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Guang-Hui LiuNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
Obesity, inflammation and breast cancerR01CA200673 · NCI · UNIVERSITY OF IOWA · PI ZHANG, WEIZHOU · 2016 to 2020
$1.7M
CD177 suppresses breast-cancer development by inhibiting beta-cateninR01CA203834 · NCI · UNIVERSITY OF IOWA · PI ZHANG, WEIZHOU · 2016 to 2020
$1.7M
Myofibroblasts, T cells and malignant cells interplay in breast cancer metastasisR00CA158055 · NCI · UNIVERSITY OF IOWA · PI ZHANG, WEIZHOU · 2012 to 2014
$714k
Myofibroblasts, T cells and malignant cells interplay in breast cancer metastasisK99CA158055 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHANG, WEIZHOU · 2011 to 2011
$110k
NCI NIH HHS K99 CA158055NCI NIH HHS P30 CA086862NCI NIH HHS R00 CA158055NCI NIH HHS R01 CA200673NCI NIH HHS R01 CA203834
6 · The paper itself

Abstract

Visualization of specific genomic loci in live cells is a prerequisite for the investigation of dynamic changes in chromatin architecture during diverse biological processes, such as cellular aging. However, current precision genomic imaging methods are hampered by the lack of fluorescent probes with high specificity and signal-to-noise contrast. We find that conventional transcription activator-like effectors (TALEs) tend to form protein aggregates, thereby compromising their performance in imaging applications. Through screening, we found that fusing thioredoxin with TALEs prevented aggregate formation, unlocking the full power of TALE-based genomic imaging. Using thioredoxin-fused TALEs (TTALEs), we achieved high-quality imaging at various genomic loci and observed aging-associated (epi) genomic alterations at telomeres and centromeres in human and mouse premature aging models. Importantly, we identified attrition of ribosomal DNA repeats as a molecular marker for human aging. Our study establishes a simple and robust imaging method for precisely monitoring chromatin dynamics in vitro and in vivo.

Indexed as

Genetic EngineeringAgingAnimalsCell DifferentiationCell LineCellular SenescenceCentromereChromatinCRISPR-Associated ProteinsDNA, RibosomalGenetic LociHumansImaging, Three-DimensionalMesenchymal Stem CellsMice, Inbred C57BLMitosisChromatinCRISPR-Associated ProteinsDNA, RibosomalRNA, Guide, CRISPR-Cas SystemsTelomeraseThioredoxinsTranscription Activator-Like Effector Nucleases

Identifiers

PMID28139645
PMCPMC5385610

What OpenQuestion holds

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Registered trials

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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.