Evidence map›Paper›PMID 38926085›Full record

ArticleeNeuro2024

Transgenic Targeting of

Tobias Kaiser, Jordan Dattero, Liang Li, Mandy Chen, Minqing Jiang, Andrew Harrahill, Oleg Butovsky, Guoping Feng

Abstract read
In one paragraph

Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Injury to repair: Functions of microglia and monocyte-derived cells in ischemic stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
    Review
  3. Article
  4. 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

8 authors.

Tobias KaiserMcGovern Institute for Brain Research at MIT, Cambridge, Massachusetts 02139 tkaiser@mit.edu fengg@mit.edu.
Jordan DatteroMcGovern Institute for Brain Research at MIT, Cambridge, Massachusetts 02139.
Liang LiMcGovern Institute for Brain Research at MIT, Cambridge, Massachusetts 02139.
Mandy ChenMcGovern Institute for Brain Research at MIT, Cambridge, Massachusetts 02139.
Minqing JiangMcGovern Institute for Brain Research at MIT, Cambridge, Massachusetts 02139.
Andrew HarrahillMcGovern Institute for Brain Research at MIT, Cambridge, Massachusetts 02139.
Oleg ButovskyDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115.
Guoping FengMcGovern Institute for Brain Research at MIT, Cambridge, Massachusetts 02139 tkaiser@mit.edu fengg@mit.edu.ORCID https://orcid.org/0000-0002-8021-277X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microglia carry out important functions as the resident macrophages of the brain. To study their role in health and disease, the research community needs tools to genetically modify them with maximum completeness in a manner that distinguishes them from closely related cell types, such as monocytes. While currently available tamoxifen-inducible CreERT2 lines can achieve the differentiation from other cells, the field needs improved and publicly available constitutively active Cre lines, especially ones with favorable efficiency and specificity profiles for studies where high recombination efficiency is imperative and where tamoxifen administration is contraindicated. Here, we leverage the microglia-specific

Indexed as

IntegrasesMice, TransgenicMicrogliaAnimalsBrainCell DifferentiationFemaleMacrophagesMaleMiceMice, Inbred C57BLReceptors, Cell SurfaceCre recombinaseIntegrasesReceptors, Cell SurfaceBAMCreCreERT2Fcrls-Cremicroglianeuroimmune

Identifiers

PMID38926085
PMCPMC11236590

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.