Evidence map›Paper›PMID 31926038›Full record

ReviewGlia2020

Human iPSC-derived microglia: A growing toolset to study the brain's innate immune cells.

Jonathan Hasselmann, Mathew Blurton-Jones

Open access · greenAbstract readReview
In one paragraph

Review in Glia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

92 citing papers in PubMed, 143 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Human microglia differentially respond to β-amyloid, tau, and combined Alzheimer's disease pathologies in vivo.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

32 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Jonathan HasselmannDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, California.ORCID 0000-0003-2630-9850
Mathew Blurton-JonesDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, California.
University of California, Irvine · US

Funding

UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI LAFERLA, FRANK M · 2000 to 2019
$37.0M
The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Craig E Stark · 2020 to 2026
$27.9M
Training in the Neurobiology of Aging and Alzheimers DiseaseT32AG000096 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI VIVEK SWARUP, Craig E Stark · 1985 to 2026
$9.6M
Examining the role of adaptive immunity in Alzheimer's Disease pathogenesisRF1AG055524 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BLURTON-JONES, MATHEW MARK · 2017 to 2017
$2.7M
Cracking the RNA Localization CodeDP2GM119164 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SPITALE, ROBERT C · 2015 to 2015
$2.2M
A novel platform for the investigation of human microgliaRF1DA048813 · NIDA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BLURTON-JONES, MATHEW MARK, GANDHI, SUNIL · 2019 to 2021
$2.1M
Manipulating DNA repair enzymes to examine the interactions between aging and Alzheimers disease with iPSC-derived microgliaR01AG056303 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BLURTON-JONES, MATHEW MARK · 2017 to 2021
$1.9M
The role of TREM2 in human microglial function and Alzheimer disease pathogenesisRF1AG048099 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BLURTON-JONES, MATHEW MARK · 2014 to 2014
$1.9M
Foundation for the National Institutes of Health AG00096Foundation for the National Institutes of Health AG016573Foundation for the National Institutes of Health AG048099Foundation for the National Institutes of Health AG055524Foundation for the National Institutes of Health AG056303NIA NIH HHS P30 AG066519NIA NIH HHS P50 AG016573NIA NIH HHS R01 AG056303NIA NIH HHS RF1 AG048099NIA NIH HHS RF1 AG055524NIA NIH HHS T32 AG000096NIDA NIH HHS RF1 DA048813NIGMS NIH HHS DP2 GM119164
6 · The paper itself

Abstract

Recent advances in the generation of microglia from human induced pluripotent stem cells (iPSCs) have provided exciting new approaches to examine and decipher the biology of microglia. As these techniques continue to evolve to encompass more complex in situ and in vivo paradigms, so too have they begun to yield novel scientific insight into the genetics and function of human microglia. As such, researchers now have access to a toolset comprised of three unique "flavors" of iPSC-derived microglia: in vitro microglia (iMGs), organoid microglia (oMGs), and xenotransplanted microglia (xMGs). The goal of this review is to discuss the variety of research applications that each of these techniques enables and to highlight recent discoveries that these methods have begun to uncover. By presenting the research paradigms in which each model has been successful, as well as the key benefits and limitations of each approach, it is our hope that this review will help interested researchers to incorporate these techniques into their studies, collectively advancing our understanding of human microglia biology.

Indexed as

Models, BiologicalBrainHumansImmunity, InnateInduced Pluripotent Stem CellsMicrogliacerebral organoidschimericinduced pluripotent stem cellsmicrogliamicroglia-like cellsxenotransplantation

Identifiers

PMID31926038
PMCPMC7813153
OpenAlexW3000390390

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.