Evidence map›Paper›PMID 42440359›Full record

ReviewDevelopment (Cambridge, England)2026

Synthetic developmental engineering of human liver organogenesis.

Mohammad N Taheri, Yuda Xiang, Mo R Ebrahimkhani

Abstract readReview
In one paragraph

Review in Development (Cambridge, England), 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.

Mohammad N TaheriDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0002-8476-2453
Yuda XiangDepartment of Pathology, Division of Experimental Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Mo R EbrahimkhaniDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0001-5753-6779

Funding

National Science Foundation 2134999NIDDK NIH HHS 5R01DK139590NIDDK NIH HHS 5R01DK140405Pittsburgh Liver Research Center, University of Pittsburgh P30DK120531Tsinghua University 1000990012University of Pittsburgh
6 · The paper itself

Abstract

In embryos, intrinsic and extrinsic signals cooperatively shape cellular decisions to form tissues and organs. Developmental engineering seeks to harness insights into the molecular mechanisms governing embryonic development and leverage pluripotent stem cells to enable the synthetic reconstitution of organ-like multicellular systems in vitro, including organoids. These cellular systems can partially emulate the complexity of in vivo organs in terms of structure and function, facilitating disease modeling and regenerative medicine applications. Nonetheless, the field faces challenges, such as ensuring reproducibility and achieving adult-level maturation. In this Review, we discuss liver development in the human embryo and current models that are routinely used for generating liver organoids in vitro as well as their limitations. Next, we discuss how synthetic biology and computational analyses can be integrated to enhance organoids, particularly liver organoids, by promoting vascularization, establishing zonation, refining fate specification and enabling responsiveness to external cues. Together, these approaches pave the way for next-generation multicellular human stem cell-derived systems.

Indexed as

LiverOrganogenesisSynthetic BiologyTissue EngineeringAnimalsHumansOrganoidsDevelopmentiPSCsLiverOrganoidsSynthetic biologySystems biology

Identifiers

PMID42440359
PMCPMC13405231

What Socratic 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 Socratic graph.