Evidence map›Paper›PMID 41279362›Full record

ArticlebioRxiv : the preprint server for biology2025

Development of a long-read high-throughput chromatin conformation capture method for evaluating both

Yih-Ping Su, Joshua P Earl, Azad A Ahmed, Bhaswati Sen, Samuel Czerski, Garth D Ehrlich

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

6 authors.

Yih-Ping SuCenter for Genomic Sciences, Institute of Molecular Medicine and Infectious Disease; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA.
Joshua P EarlCenter for Genomic Sciences, Institute of Molecular Medicine and Infectious Disease; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA.
Azad A AhmedCenter for Genomic Sciences, Institute of Molecular Medicine and Infectious Disease; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA.
Bhaswati SenCenter for Genomic Sciences, Institute of Molecular Medicine and Infectious Disease; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA.
Samuel CzerskiCenter for Genomic Sciences, Institute of Molecular Medicine and Infectious Disease; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA.
Garth D EhrlichCenter for Genomic Sciences, Institute of Molecular Medicine and Infectious Disease; Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA.

Funding

MAPP Research NetworkU01DK082316 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LANDIS, J RICHARD · 2008 to 2018
$17.2M
MOLECULAR ANALYSIS OF PATHOGENS IN OTITIS MEDIA BY PCRR01DC002148 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI EHRLICH, GARTH D. · 1994 to 2017
$6.5M
Limited Competition for Continuation of the MAPP-RN DCCU24DK082316 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LANDIS, J RICHARD · 2019 to 2021
$4.9M
NIDCD NIH HHS R01 DC002148NIDDK NIH HHS U01 DK082316NIDDK NIH HHS U24 DK082316
6 · The paper itself

Abstract

High-throughput chromatin conformation capture (Hi-C) has been utilized for characterizing the 3-dimensional (3D) interactome of the genome. However, short-read sequencing approaches have limited the information it provides, especially for integrated proviral DNAs. Herein we describe the development of a pipeline to investigate the 3D interactome associated with integrated Hepatitis B Virus (HBV) DNAs (iDNAs) to further understand the role of HBV iDNA in liver carcinogenesis. We employed long-read DNA sequencing combined with a novel target-pull-down library construction approach that protects against DNA shearage resulting in greatly improved sensitivity and specificity for the targeted HBV iDNA. Most importantly, we successfully increased the length of captured Hi-C library to the multi-kilobase-level and report Hi-C contacts based on a custom-developed informatics pipeline. We anticipate this combined laboratory-informatics pipeline will provide a more comprehensive view of HBV iDNA-host genomic interactions associated with their role in liver carcinogenesis, but even more importantly that it should be generalizable for the study of the geno-topological effects associated with any type of integrated DNA.

Identifiers

PMID41279362
PMCPMC12633541

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.