Evidence map›Paper›PMID 39044081›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

A Chromogenic In Situ Hybridization (CISH) Assay for Detection of HBV RNA, DNA, and cccDNA in Liver Tissue.

Xiaonan Zhang, Wei Lu, Yanling Feng, Zhanqing Zhang, Zhenghong Yuan

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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

5 authors.

Xiaonan ZhangCentre for Research in Therapeutic Solutions, Biomedical Sciences, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia. Xiaonan.Zhang@canberra.edu.au.
Wei LuShanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yanling FengShanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zhanqing ZhangShanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zhenghong YuanKey Laboratory of Medical Molecular Virology (MOE & NHC), Research Unit of Cure of Chronic Hepatitis B Virus Infection (CAMS), Shanghai Frontiers Science Center of Pathogenic Microorganisms and Infection, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China. zhyuan@shmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) developed highly intricates mechanisms exploiting host resources for its multiplication within a constrained genetic coding capacity. With the aid of a series of classical analytical methods such as ultrafiltration, and Southern and Northern blots, a general framework of HBV life cycle has been established. However, this picture still lacks many key histological contexts which involves pathophysiological changes of hepatocytes, non-parenchymal cells, infiltrated leukocytes, and associated extracellular matrix. Here, we describe a CISH protocol modified from the ViewRNA assay that allows direct visualization of HBV RNA, DNA, and cccDNA in liver tissue of chronic hepatitis B patients. By coupling it with immunohistochemistry and other histological stains, much richer information regarding the HBV-induced pathological changes can be harvested.

Indexed as

DNA, ViralHepatitis B virusIn Situ HybridizationLiverRNA, ViralChromogenic CompoundsDNA, CircularHepatitis B, ChronicHumansImmunohistochemistryChromogenic CompoundsDNA, CircularDNA, ViralRNA, ViralcccDNACISHHBVImmunohistochemistry

Identifiers

PMID39044081

What OpenQuestion holds

Textmetadata
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.