Evidence map›Paper›PMID 36125708›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Generation of In Vivo Traceable Hepatocyte-Like Cells from Human iPSCs.

Candice Ashmore-Harris, Gilbert O Fruhwirth

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Gene editing enables non-invasiveMolecular therapy. Methods & clinical development · 2025
    Article
  2. Article
  3. 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

2 authors.

Candice Ashmore-HarrisImaging Therapies and Cancer Group, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, Guy's Cancer Centre, London, UK.
Gilbert O FruhwirthImaging Therapies and Cancer Group, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, Guy's Cancer Centre, London, UK. gilbert.fruhwirth@kcl.ac.uk.

Funding

Cancer Research UK C48390/A21153
6 · The paper itself

Abstract

In this chapter, we describe a protocol for differentiation of human-induced pluripotent stem cells (iPSCs) into hepatocyte-like cells (HLCs) and their transduction with a lentivirus for gene transfer. Here, we engineer them to express the human sodium iodide symporter, which can be exploited as a radionuclide reporter gene, thereby enabling these cells to be tracked in vivo by single-photon emission computed tomography (SPECT) or positron emission tomography (PET) imaging. Differentiation of HLCs from iPSCs involves three steps: induction of iPSCs to definitive endoderm, differentiation to a hepatic progenitor cell population, and maturation of immature HLCs. Once proliferation of hepatic progenitors has ceased and an immature HLC population is generated, lentiviral transduction can be performed. The immature hepatic gene expression profile/morphology at the stage of transduction will be compatible with further maturation following transgene expression either in vitro or in vivo, with expression of the transgene retained. We detail how transgenic cells can be imaged in vivo. While we provide a protocol for the NIS reporter gene, the cell engineering aspects of this protocol are transferable for use with other (reporter) genes if desired.

Indexed as

Induced Pluripotent Stem CellsCell DifferentiationGenes, ReporterHepatocytesHumansLiverCell trackingHepatic differentiationHepatocyte-like cellshiPSCsIn vivo imagingPETReporter geneSodium iodide symporterSPECT

Identifiers

What OpenQuestion 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 OpenQuestion graph.