Evidence map›Paper›PMID 41221676›Full record

ReviewAdvanced biology2025

Engineering the Link: From Genome Interaction Maps to Functional Insight.

Frido Petersen, Simon Westermann, Valeriia Smialkovska, Jan Mathony, Angelika Feldmann, Dominik Niopek

Abstract readReview
In one paragraph

Review in Advanced biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Frido PetersenPharmaceutical Biology, Institute of Pharmacy and Molecular Biotechnology, Faculty of Engineering Sciences, Heidelberg University, 69120, Heidelberg, Germany.
Simon WestermannPharmaceutical Biology, Institute of Pharmacy and Molecular Biotechnology, Faculty of Engineering Sciences, Heidelberg University, 69120, Heidelberg, Germany.
Valeriia SmialkovskaMechanisms of Genome Control, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Jan MathonyPharmaceutical Biology, Institute of Pharmacy and Molecular Biotechnology, Faculty of Engineering Sciences, Heidelberg University, 69120, Heidelberg, Germany.
Angelika FeldmannMechanisms of Genome Control, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Dominik NiopekPharmaceutical Biology, Institute of Pharmacy and Molecular Biotechnology, Faculty of Engineering Sciences, Heidelberg University, 69120, Heidelberg, Germany.ORCID https://orcid.org/0000-0001-7479-530X

Funding

Aventis FoundationBaden-Württemberg StiftungCarl-Zeiss-StiftungDeutsche Forschungsgemeinschaft 453202693European Research Council ERC-STG 101115812Hans und Ria Messer StiftungHealth + Life Science Alliance Heidelberg MannheimHelmholtz Association VH-NG-1604
6 · The paper itself

Abstract

The 3D organization of the genome constitutes a spatial layer of information processing that helps govern gene expression and thus cell function. Advances in chromosome conformation capture sequencing have enabled detailed assessment of chromatin architecture, from enhancer-promoter loops to topological domains and higher-order contacts, across cell types and developmental states. While the ability to investigate genome conformation is maturing, the field faces a central challenge: The link between chromatin interactions and cellular function remains largely correlative, leaving their causality unresolved. This review explores how recent developments in genome engineering enable the targeted manipulation of 3D chromatin architecture - specifically DNA loops - to illuminate causal links between genome structure and function. Synthetic strategies are introduced that rewire enhancer-promoter communication through engineered chromatin loops, leveraging programmable DNA-binding platforms such as zinc fingers, transcription activator-like effectors (TALEs), and CRISPR-Cas9. The current limitations of these approaches related to efficiency, scalability, and specificity are also highlighted, and the strategies to address them are outlined. As these systems mature, programmable 3D genome engineering is emerging as a transformative pillar of synthetic biology, complementing sequence-based editing as a core modality for both understanding and ultimately reprogramming genome function.

Indexed as

ChromatinGenetic EngineeringGenomeAnimalsCRISPR-Cas SystemsGene EditingHumansPromoter Regions, GeneticChromatin3D genome organizationchromatin loopingCRISPRgene regulationgenome engineeringinformation processing

Identifiers

PMID41221676
PMCPMC12712762

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.