Evidence map›Paper›PMID 37468433›Full record

ArticleStem cells (Dayton, Ohio)2023

Identifying a Lung Stem Cell Subpopulation by Combining Single-Cell Morphometrics, Organoid Culture, and Transcriptomics.

Takashi Fujimura, Yasunori Enomoto, Hiroaki Katsura, Taisaku Ogawa, Saori Baba, Akira Ogata, Akira Yamaoka, Katsuyuki Shiroguchi, Mitsuru Morimoto

Open access · hybridAbstract read
In one paragraph

Article in Stem cells (Dayton, Ohio), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

9 authors at 3 institutions in 1 country.

Takashi FujimuraLaboratory for Lung Development and Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Yasunori EnomotoLaboratory for Lung Development and Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Hiroaki KatsuraLaboratory for Lung Development and Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Taisaku OgawaLaboratory for Prediction of Cell Systems Dynamics, RIKEN Center for Biosystems Dynamics Research, Suita, Japan.
Saori BabaLaboratory for Lung Development and Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Akira OgataLaboratory for Lung Development and Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Akira YamaokaLaboratory for Lung Development and Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Katsuyuki ShiroguchiLaboratory for Prediction of Cell Systems Dynamics, RIKEN Center for Biosystems Dynamics Research, Suita, Japan.
Mitsuru MorimotoLaboratory for Lung Development and Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.ORCID 0000-0001-9132-4155
RIKEN Center for Biosystems Dynamics Research · JPHamamatsu University School of Medicine · JPOtsuka (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing is a valuable tool for dissecting cellular heterogeneity in complex systems. However, it is still challenging to estimate the proliferation and differentiation potentials of subpopulations within dormant tissue stem cells. Here, we established a new single-cell analysis method for profiling the organoid-forming capacity and differentiation potential of tissue stem cells to disclose stem cell subpopulations by integrating single-cell morphometrics, organoid-forming assay, and RNA sequencing, a method named scMORN. To explore lung epithelial stem cells, we initially developed feeder-free culture system, which could expand all major lung stem cells, including basal, club, and alveolar type 2 (AT2) cells, and found that club cells contained a subpopulation, which showed better survival rate and high proliferation capacity and could differentiate into alveolar cells. Using the scMORN method, we discovered a club cell subpopulation named Muc5b+ and large club (ML-club) cells that efficiently formed organoids than other club or AT2 cells in our feeder-free organoid culture and differentiated into alveolar cells in vitro. Single-cell transcriptome profiling and immunohistochemical analysis revealed that ML-club cells localized at the intrapulmonary proximal airway and distinct from known subpopulations of club cells such as BASCs. Furthermore, we identified CD14 as a cell surface antigen of ML-club cells and showed that purified CD14+ club cells engrafted into injured mouse lungs had better engraftment rate and expansion than other major lung stem cells, reflecting the observations in organoid culture systems. The scMORN method could be adapted to different stem cell tissues to discover useful stem-cell subpopulations.

Indexed as

LungTranscriptomeAnimalsCell DifferentiationGene Expression ProfilingMiceOrganoidsStem Cellsadult stem cellsalveolar epithelial cellsbronchiolar epithelial cellslungmorphometricsorganoidssingle cell analysis

Identifiers

PMID37468433
PMCPMC10427966
OpenAlexW4384819884

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.