Evidence map›Paper›PMID 39621022›Full record

ArticleInternational journal of surgery (London, England)2024

Dynamic gene expression pattern in zebrafish gallbladder: an experimental study.

Pranay Tanwar, Debashruti Bhattacharya, Abhilash Dasari, Manthan Bijwe, Rashmi Rana, Ishaan Gupta, Shilpi Minocha

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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.

Pranay TanwarLaboratory Oncology Unit, Dr BRA-IRCH, All India Institute of Medical Sciences, New Delhi, India.
Debashruti BhattacharyaKusuma School of Biological Sciences, Indian Institute of Technology Delhi (IITD), Hauz Khas, New Delhi, India.
Abhilash DasariDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi (IITD), Hauz Khas, New Delhi, India.
Manthan BijweKusuma School of Biological Sciences, Indian Institute of Technology Delhi (IITD), Hauz Khas, New Delhi, India.
Rashmi RanaDepartment of Biotechnology and Research, Sir Ganga Ram Hospital, New Delhi, India.
Ishaan GuptaDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi (IITD), Hauz Khas, New Delhi, India.
Shilpi MinochaKusuma School of Biological Sciences, Indian Institute of Technology Delhi (IITD), Hauz Khas, New Delhi, India.ORCID 0000-0001-8229-1443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gallbladder cancer (GBC) is one of the common biliary tract malignancies that is often associated with late presentation of clinical symptoms resulting in poor prognosis, thereby considerably increasing the mortality rate. Geographic and ethnic variations are one of the major causes of GBC incidence. However, in addition to genetic susceptibility to GBC, other factors like age, obesity, sex, and exposure to certain heavy chemicals may also lead to the incidence of GBC. Most of GBC research has so far used traditional cell culture systems. Recently, newer approaches using 2D and 3D cultures, xenograft models, and organoids are also becoming popular. However, whole organism model systems for GBC research have not yet been established. In this study, the authors propose the use of zebrafish as a model organism to study GBC. However, the zebrafish gallbladder is relatively unexplored besides the anatomical features. Here, the authors unravel and then compare the unique transcriptomic profile of zebrafish gallbladder with humans to identify genes consistently expressed in both species. The authors provide a comprehensive list of all gallbladder specific genes in zebrafish that also have their orthologous counterparts in humans. Therefore, they can be used as potential biomarkers for gallbladder transcriptomic profile. To the best of our knowledge, this is the only study so far to provide a complete genomic expression profile of zebrafish gallbladder along with an exhaustive cross-species comparison, thus paving the path for using zebrafish as a model organism to study GBC and help identify novel biomarkers for its early detection and diagnosis.

Indexed as

GallbladderGallbladder NeoplasmsTranscriptomeZebrafishAnimalsDisease Models, AnimalGene Expression ProfilingHumans

Identifiers

PMID39621022
PMCPMC11634144

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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.