Evidence map›Paper›PMID 37639142›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Adaptation of Human iPSC-Derived Macrophages Toward an Alveolar Macrophage-Like Phenotype Post-Intra-Pulmonary Transfer into Murine Models.

Miriam Hetzel, Ingrid Gensch, Mania Ackermann, Nico Lachmann

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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

4 authors.

Miriam HetzelHannover Medical School, Department of Pediatric Pneumology, Allergology, and Neonatology, Hannover, Germany.
Ingrid GenschFraunhofer Institute for Toxicology and Experimental Medicine ITEM, Hannover, Germany.
Mania AckermannHannover Medical School, Department of Pediatric Pneumology, Allergology, and Neonatology, Hannover, Germany.
Nico LachmannHannover Medical School, Department of Pediatric Pneumology, Allergology, and Neonatology, Hannover, Germany. Lachmann.nico@mh-hannover.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alveolar macrophages (AMs) represent crucial immune cells in the bronchioalveolar space of the lung. Given the important role in the host defense machinery and lung tissue homeostasis, AMs have been linked to a variety of diseases and thus represent a promising target cell type for novel therapies. The emerging importance of AM underlines the necessity to isolate and/or generate proper cellular models, which facilitate basic biology and translational science. As of yet, most studies focus on the derivation of AM from the murine system. This chapter introduces the use of human-induced pluripotent stem cell (iPSC)-derived primitive macrophages, which can be further matured towards an AM-like phenotype upon intra-pulmonary transfer into mice. We will give a brief overview on the generation of primitive iPSC-derived macrophages, which is followed by a detailed, step-by-step description of the intra-pulmonary transfer of cells and the follow-up procedures needed to isolate the iPSC-derived, AM-like cells from the lungs post-transfer. The chapter provides an alternative approach to derive human AM-like cells, which can be used to study human AM biology and to investigate novel therapeutic interventions using primitive macrophages from iPSC.

Indexed as

Induced Pluripotent Stem CellsMacrophages, AlveolarAnimalsDisease Models, AnimalHumansMacrophagesMicePhenotypeAlveolar macrophagesHematopoietic differentiationInduced pluripotent stem cellsIntrapulmonary transferiPSCLungMacrophagesPMT

Identifiers

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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.