Evidence map›Paper›PMID 42390754›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

George Jervis, Hans-Wilhelm Nützmann

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

2 authors.

George JervisBiosciences, University of Exeter, Geoffrey Pope Building, Exeter, UK.
Hans-Wilhelm NützmannBiosciences, University of Exeter, Exeter, UK. h.nuetzmann@exeter.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome conformation capture (3C), when combined with high-throughput next-generation sequencing, known as Hi-C, is a powerful approach for visualizing three-dimensional genome architecture. This technique enables detailed study of how chromosome topology influences gene regulation and other key cellular processes.Incorporating a sequence capture step into the Hi-C workflow enables targeted enrichment of predefined genomic regions of interest. Compared with conventional Hi-C, Capture Hi-C (CHi-C) increases the sequencing depth for the targeted regions, enabling high-resolution analysis of chromatin structure within a predefined locus at a lower cost.Here, we present a detailed protocol for CHi-C applied to a region of the Arabidopsis thaliana genome encompassing the thalianol biosynthetic gene cluster.

Indexed as

ArabidopsisChromosome MappingChromosomes, PlantHigh-Throughput Nucleotide SequencingMultigene FamilyChromatinGenome, PlantChromatinArabidopsis thalianaBiosynthetic gene clusterCapture Hi-CChromosome conformation captureSequence-capture

Identifiers

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.