Evidence map›Paper›PMID 38022387›Full record

ReviewThe Japanese dental science review2023

Multi-omics analysis in developmental bone biology.

Yuki Matsushita, Azumi Noguchi, Wanida Ono, Noriaki Ono

Open access · goldAbstract readReview
In one paragraph

Review in The Japanese dental science review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026
    Review
  5. Review
  6. Article
  7. Stem Cell Niche Concept: Search for Current Expert Consensus.International journal of molecular sciences · 2025
    Review
  8. Review
  9. Review
  10. Review
  11. 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 at 2 institutions in 2 countries.

Yuki MatsushitaDepartment of Cell Biology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8588, Japan.
Azumi NoguchiDepartment of Cell Biology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8588, Japan.
Wanida OnoUniversity of Texas Health Science Center at Houston School of Dentistry, Houston, TX 77054, USA.
Noriaki OnoUniversity of Texas Health Science Center at Houston School of Dentistry, Houston, TX 77054, USA.
Nagasaki University · JPThe University of Texas Health Science Center at Houston · US

Funding

Craniofacial skeletal cell lineage plasticity for reconstituting stem cells and their nichesR01DE030630 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ONO, NORIAKI, ONO, WANIDA · 2021 to 2025
$2.2M
Dynamics and Regulations of Bone Stem Cells in VivoR01DE026666 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ONO, NORIAKI · 2018 to 2022
$2.1M
NIDCR NIH HHS R01 DE026666NIDCR NIH HHS R01 DE030630
6 · The paper itself

Abstract

Single-cell omics and multi-omics have revolutionized our understanding of molecular and cellular biological processes at a single-cell level. In bone biology, the combination of single-cell RNA-sequencing analyses and in vivo lineage-tracing approaches has successfully identified multi-cellular diversity and dynamics of skeletal cells. This established a new concept that bone growth and regeneration are regulated by concerted actions of multiple types of skeletal stem cells, which reside in spatiotemporally distinct niches. One important subtype is endosteal stem cells that are particularly abundant in young bone marrow. The discovery of this new skeletal stem cell type has been facilitated by single-cell multi-omics, which simultaneously measures gene expression and chromatin accessibility. Using single-cell omics, it is now possible to computationally predict the immediate future state of individual cells and their differentiation potential. In vivo validation using histological approaches is the key to interpret the computational prediction. The emerging spatial omics, such as spatial transcriptomics and epigenomics, have major advantage in retaining the location of individual cells within highly complex tissue architecture. Spatial omics can be integrated with other omics to further obtain in-depth insights. Single-cell multi-omics are now becoming an essential tool to unravel intricate multicellular dynamics and intercellular interactions of skeletal cells.

Indexed as

Bone marrow stromal cells (BMSCs)In vivo lineage-tracingMulti-omicsSingle-cell RNA-sequencing (scRNA-seq)Single-nuclei ATAC-sequencing (snATAC-seq)Skeletal stem cells (SSCs)

Identifiers

PMID38022387
PMCPMC10665596
OpenAlexW4388553261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.