Evidence map›Paper›PMID 41736863›Full record

ArticleiScience2026

A cell atlas of multiple liver organoids and the fetal liver based on scRNA-seq.

Qinfeng Ma, Xu Zhang, Jianbo Pan

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Qinfeng MaBasic Medicine Research and Innovation Center for Novel Target and Therapeutic Intervention, Ministry of Education, College of Pharmacy, and the Reproductive Medicine Center, the First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.
Xu ZhangBasic Medicine Research and Innovation Center for Novel Target and Therapeutic Intervention, Ministry of Education, College of Pharmacy, and the Reproductive Medicine Center, the First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.
Jianbo PanBasic Medicine Research and Innovation Center for Novel Target and Therapeutic Intervention, Ministry of Education, College of Pharmacy, and the Reproductive Medicine Center, the First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the cellular characteristics and regulatory networks of cells during the growth of human liver organoids is crucial for comprehending liver development and function. However, a comprehensive cell atlas of liver organoids spanning multiple culture protocols is still lacking. To address this gap, we integrated scRNA-seq datasets of liver organoids from public repositories with published human fetal liver datasets, constructing a unified liver organoid cell atlas comprising 217,025 high-quality cells. This atlas captures diverse cellular compositions across culture conditions of liver organoids. Comparative analyses revealed deficiencies in hematopoietic lineage representation in organoids relative to fetal tissues. Subpopulation and pseudotime analyses provided insights into hepatoblast fate transitions, while cell-cell communication analysis highlighted prominent NOTCH, VEGF, HGF, and WNT signaling activities in organoids. Together, our study delineates differences between liver organoids and fetal tissues and enables systematic comparison across culture protocols, providing a framework for protocol evaluation and optimization.

Indexed as

Integrative aspects of cell biologyMedicineTranscriptomics

Identifiers

PMID41736863
PMCPMC12927097

What Socratic holds

Textmetadata
LicenceCC BY
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.