Evidence map›Paper›PMID 42125272›Full record

ReviewFrontiers in genetics2026

Single cell and single nucleus RNA sequencing in liver tissues: applications and prospects in model and non-model organisms.

Xue Feng, Yu Feng, Sayed Haidar Abbas Raza, Yun Ma, Hongyu Deng

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 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

5 authors.

Xue Feng *College of Animal Science and Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, China.
Yu Feng *Department of Pathology, The Seventh People's Hospital of Zhengzhou, Zhengzhou, China.
Sayed Haidar Abbas RazaState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Yun MaKey Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, College of Animal Science and Technology, Ningxia University, Yinchuan, China.
Hongyu DengCollege of Animal Science and Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver serves as a central metabolic hub, essential for homeostasis, detoxification, and immunity. Recent advances in single-cell and single-nucleus RNA sequencing (scRNA-seq and snRNA-seq) have fundamentally transformed our capacity to resolve the cellular architecture and functional states of this complex organ. This review comprehensively examines the pivotal applications and expanding potential of these high-resolution transcriptomic technologies in hepatic research, encompassing both established model organisms and emerging non-model species. In human and classical models such as mice and zebrafish, scRNA-seq and snRNA-seq have been critical for delineating developmental trajectories, deciphering the molecular logic of metabolic zonation, and uncovering the precise cellular dynamics and intercellular communication networks that drive diseases like non-alcoholic fatty liver disease (NAFLD), fibrosis, and hepatocellular carcinoma. Beyond these systems, pioneering work in species such as cattle, pigs, tree shrews, and reptiles is now providing unique insights into evolutionary adaptations, specialized physiologies, and comparative disease mechanisms. By synthesizing findings across this broad biological spectrum, we illustrate how single-cell transcriptomics is refining the core principles of liver biology while simultaneously revealing species-specific divergences. Looking ahead, the continued maturation and application of these technologies are poised to yield deeper comparative pathophysiological understanding and accelerate the development of targeted diagnostic and therapeutic strategies for liver diseases in both human and veterinary contexts.

Indexed as

heterogeneityliverpathophysiologicalscRNA-seqsnRNA-seq

Identifiers

PMID42125272
PMCPMC13160493

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.