Evidence map›Paper›PMID 40335327›Full record

ReviewTrends in genetics : TIG2025

Molecular circuits for genomic recording of cellular events.

Wei Chen, Junhong Choi

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  6. Review
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

2 authors.

Wei ChenDepartment of Biochemistry, University of Washington, Seattle, WA 98195, USA. Electronic address: wchen108@uw.edu.
Junhong ChoiDevelopmental Biology Program, Memorial Sloan Kettering Cancer Center, NY 10065, USA. Electronic address: choij10@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Molecular recording to understand the determinants of cell fate transitions in early developmentR00HG012973 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI Junhong Choi · 2024 to 2026
$747k
NCI NIH HHS P30 CA008748NHGRI NIH HHS R00 HG012973
6 · The paper itself

Abstract

Advances in precise genome editing are enabling genomic recordings of cellular events. Since the initial demonstration of CRISPR-based genome editing, the field of genomic recording has witnessed key strides in lineage recording, where clonal lineage relationships among cells are indirectly recorded as synthetic mutations. However, methods for directly recording and reconstructing past cellular events are still limited, and their potential for revealing new insights into cell fate decisions has yet to be realized. The field needs new sensing modules and genetic circuit architectures that faithfully encode past cellular states into genomic DNA recordings to achieve such goals. Here we review recently developed strategies to construct diverse sensors and explore how emerging synthetic biology tools may help to build molecular circuits for genomic recording of diverse cellular events.

Indexed as

CRISPR-Cas SystemsGene EditingGene Regulatory NetworksGenomicsSynthetic BiologyAnimalsCell LineageGenomeHumansCRISPRgenomic recordingmolecular circuitssynthetic biology

Identifiers

PMID40335327
PMCPMC12324969

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.