Evidence map›Paper›PMID 30498195›Full record

ArticleNature communications2018

Chromatin conformation analysis of primary patient tissue using a low input Hi-C method.

Noelia Díaz, Kai Kruse, Tabea Erdmann, Annette M Staiger, German Ott, Georg Lenz, Juan M Vaquerizas

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

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  14. CWL-Based Analysis Pipeline for Hi-C Data: From FASTQ Files to Matrices.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. Article
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10 more citing papers are in PubMed but not listed here.

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

7 authors.

Noelia DíazMax Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149, Muenster, Germany.ORCID http://orcid.org/0000-0002-0319-3448
Kai KruseMax Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149, Muenster, Germany.ORCID http://orcid.org/0000-0002-7951-7357
Tabea ErdmannDepartment of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany.
Annette M StaigerDepartment of Clinical Pathology, Robert-Bosch-Hospital, Auerbachstrasse 110, 70376, Stuttgart, Germany.
German OttDepartment of Clinical Pathology, Robert-Bosch-Hospital, Auerbachstrasse 110, 70376, Stuttgart, Germany.
Georg LenzDepartment of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany.
Juan M VaquerizasMax Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149, Muenster, Germany. jmv@mpi-muenster.mpg.de.ORCID http://orcid.org/0000-0002-6583-6541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin conformation constitutes a fundamental level of eukaryotic genome regulation. However, our ability to examine its biological function and role in disease is limited by the large amounts of starting material required to perform current experimental approaches. Here, we present Low-C, a Hi-C method for low amounts of input material. By systematically comparing Hi-C libraries made with decreasing amounts of starting material we show that Low-C is highly reproducible and robust to experimental noise. To demonstrate the suitability of Low-C to analyse rare cell populations, we produce Low-C maps from primary B-cells of a diffuse large B-cell lymphoma patient. We detect a common reciprocal translocation t(3;14)(q27;q32) affecting the BCL6 and IGH loci and abundant local structural variation between the patient and healthy B-cells. The ability to study chromatin conformation in primary tissue will be fundamental to fully understand the molecular pathogenesis of diseases and to eventually guide personalised therapeutic strategies.

Indexed as

Cell Line, TumorChromatinComputational BiologyHumansLymphoma, Large B-Cell, DiffuseProto-Oncogene Proteins c-bcl-6Transcription FactorsChromatinProto-Oncogene Proteins c-bcl-6Transcription Factors

Identifiers

PMID30498195
PMCPMC6265268

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.