Evidence map›Paper›PMID 30031324›Full record

ReviewCurrent opinion in cell biology2018

Advancing insights into stem cell niche complexities with next-generation technologies.

Nicholas Heitman, Nivedita Saxena, Michael Rendl

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. TheeLife · 2025
    Article
  5. ThebioRxiv : the preprint server for biology · 2024
    Article
  6. Biofabrication of Human Skin with Its Appendages.Advanced healthcare materials · 2022
    Review
  7. Opportunities and challenges of glioma organoids.Cell communication and signaling : CCS · 2021
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Adipose Stem Cell Translational Applications: From Bench-to-Bedside.International journal of molecular sciences · 2018
    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

3 authors.

Nicholas HeitmanBlack Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, Atran Building AB7-10C, Box 1020, 1428 Madison Ave, New York, NY 10029, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, Atran Building AB7-10C, Box 1020, 1428 Madison Ave, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, Box 1022, One Gustave L. Levy Place, New York, NY 10029, USA.
Nivedita SaxenaBlack Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, Atran Building AB7-10C, Box 1020, 1428 Madison Ave, New York, NY 10029, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, Atran Building AB7-10C, Box 1020, 1428 Madison Ave, New York, NY 10029, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, Box 1022, One Gustave L. Levy Place, New York, NY 10029, USA.
Michael RendlBlack Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, Atran Building AB7-10C, Box 1020, 1428 Madison Ave, New York, NY 10029, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, Atran Building AB7-10C, Box 1020, 1428 Madison Ave, New York, NY 10029, USA; Department of Dermatology, Icahn School of Medicine at Mount Sinai, Box 1047, One Gustave L. Levy Place, New York, NY 10029, USA,; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, Box 1022, One Gustave L. Levy Place, New York, NY 10029, USA. Electronic address: michael.rendl@mssm.edu.

Funding

MOUNT SINAI MEDICAL SCIENTIST TRAINING PROGRAMT32GM007280 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BARON, MARGARET H · 1985 to 2021
$22.8M
Specification, Molecular Control and Niche Functions of the Hair Follicle MesenchymeR01AR071047 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RENDL, MICHAEL · 2016 to 2025
$4.8M
Exploring How Dermal Papilla Precursors Regulate Hair Follicle FormationR01AR063151 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RENDL, MICHAEL · 2013 to 2017
$1.8M
Cellular and Molecular Mechanisms of Dermal Sheath Formation and FunctionF30AR070639 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HEITMAN, NICHOLAS · 2016 to 2018
$128k
NIAMS NIH HHS F30 AR070639NIAMS NIH HHS R01 AR063151NIAMS NIH HHS R01 AR071047NIGMS NIH HHS T32 GM007280
6 · The paper itself

Abstract

Adult tissue-specific stem cells are essential for homeostatic tissue maintenance and key to regeneration during injury repair or disease. Many critical stem cell functions rely on the presence of well-timed cues from the microenvironment or niche, which includes a diverse range of components, including neuronal, circulating and extracellular matrix inputs as well as an array of neighboring niche cells directly interacting with the stem cells. However, studies of stem cells and their niche have been challenging due to the complexity of adult stem cell functions, their intrinsic controls and the multiple regulatory niche components. Here, we review recent major advances in our understanding of the complex interplay between stem cells and their niche that were enabled by the tremendous technological leaps in single-cell transcriptome analyses, 3D in vitro cultures and 4D in vivo microscopy of stem cell niches.

Indexed as

Stem Cell NicheStem Cell ResearchAnimalsHumansImaging, Three-DimensionalModels, BiologicalOrganoidsSingle-Cell Analysis

Identifiers

PMID30031324
PMCPMC6269204

What OpenQuestion holds

Textmetadata
LicenceTDM
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.