Evidence map›Paper›PMID 34106404›Full record

ReviewNeuroscience bulletin2021

Evolving Models and Tools for Microglial Studies in the Central Nervous System.

Yang Zhang, Donghong Cui

Abstract readReview
In one paragraph

Review in Neuroscience bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Integrative Analysis of Key Signalling Pathways in Neural Tube Defects: From Molecular Mechanisms to Therapeutic Strategies.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Overexpression ofNeural regeneration research · 2023
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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.

Yang ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
Donghong CuiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China. manyucc@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microglia play multiple roles in such processes as brain development, homeostasis, and pathology. Due to their diverse mechanisms of functions, the complex sub-classifications, and the large differences between different species, especially compared with humans, very different or even opposite conclusions can be drawn from studies with different research models. The choice of appropriate research models and the associated tools are thus key ingredients of studies on microglia. Mice are the most commonly used animal models. In this review, we summarize in vitro and in vivo models of mouse and human-derived microglial research models, including microglial cell lines, primary microglia, induced microglia-like cells, transgenic mice, human-mouse chimeric models, and microglial replacement models. We also summarize recent developments in novel single-cell and in vivo imaging technologies. We hope our review can serve as an efficient reference for the future study of microglia.

Indexed as

Central Nervous SystemMicrogliaAnimalsCell LineDisease Models, AnimalHumansMiceMice, TransgenicHuman-mouse chimeric modelsInduced microglia-like cellsIn vivo imagingMicroglial cell linesMicroglial replacementPrimary microgliaSingle-cell technologyTransgenic mice

Identifiers

PMID34106404
PMCPMC8353053

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.