Evidence map›Paper›PMID 42859455›Full record

ArticleBio-protocol2026

Efficient Generation of Fetal Hepatic Stellate Cells From hiPSC.

Xia Yang, Hideki Taniguchi, Yun-Zhong Nie

Abstract read
In one paragraph

Article in Bio-protocol, 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

3 authors.

Xia YangDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato, Tokyo, Japan.
Hideki TaniguchiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato, Tokyo, Japan.
Yun-Zhong NieDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Minato, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human induced pluripotent stem cell (hiPSC)-derived liver organoids have emerged as valuable models for studying human liver development. However, existing organoid systems often lack developmentally matched cell populations, particularly fetal hepatic stellate cells (HSCs), limiting their ability to recapitulate key developmental processes. Current approaches for generating HSCs rely on primary cells, immortalized cell lines, or hiPSC differentiation methods that frequently produce activated HSC-like cells and often require cell sorting. Here, we describe an efficient protocol for generating expandable fetal-like HSCs from hiPSCs through a stepwise differentiation strategy that mimics embryonic HSC development. The resulting cells can be robustly expanded while maintaining characteristic molecular and functional features of fetal HSCs. This protocol provides a reproducible and scalable source of fetal-like HSCs without cell sorting and supports the generation of multicellular liver organoids containing developmentally relevant stromal components. Beyond the validation of the protocol in studies of liver maturation and vascularization, it can be applied to investigations of HSC biology and congenital liver diseases. Key features • Efficient generation of fetal-like HSCs from hiPSCs without cell sorting. • Robust expansion of hiPSC-derived HSCs in vitro while maintaining fetal HSC characteristics. • Generation of developmentally relevant HSCs for multicellular liver organoid construction. • Applicable to studies of HSC biology, liver development, vascularization, and cell-cell interactions; successful implementation requires experience in hiPSC maintenance and differentiation.

Indexed as

DifferentiationExpansion cultureHepatic stellate cellHuman induced pluripotent stem cellLiver development

Identifiers

PMID42859455
PMCPMC13652712

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.