Evidence map›Paper›PMID 41951915›Full record

ReviewNature reviews. Genetics2026

CRISPR-Cas-based live cell imaging of genome dynamics.

Yanyu Zhu, W E Moerner, Lei S Qi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Yanyu ZhuDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8681-976X
W E MoernerDepartment of Chemistry, Stanford University, Stanford, CA, USA. wmoerner@stanford.edu.ORCID http://orcid.org/0000-0002-2830-209X
Lei S QiDepartment of Bioengineering, Stanford University, Stanford, CA, USA. slqi@stanford.edu.ORCID http://orcid.org/0000-0002-3965-3223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 3D architecture and dynamics of the genome are crucial for regulation of genome stability, transcription and cellular function. CRISPR-based live imaging technologies have enabled real-time visualization of specific genomic loci and transcripts in living cells. These tools harness customized guide RNAs and nuclease-deactivated Cas effectors to achieve precise genomic targeting, and recent methodological advances provide the 3D spatiotemporal resolution required to decipher real-time chromatin communication. These methods are elucidating the biophysical properties of chromatin, linking dynamic enhancer-promoter interactions directly to transcription, and revealing the role of 3D genome dynamics in basic cellular processes and disease. Here, we summarize the development of CRISPR-based live-cell imaging techniques, highlight the complementary 3D microscopy and analysis methods compatible with these methods, and offer perspectives on their applications to uncover fundamental principles that govern genome dynamics and function.

Indexed as

CRISPR-Cas SystemsGene EditingGenomeImaging, Three-DimensionalAnimalsChromatinHumansRNA, Guide, CRISPR-Cas SystemsChromatinRNA, Guide, CRISPR-Cas Systems

Identifiers

What Socratic holds

Textmetadata
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.