Evidence map›Paper›PMID 36711492›Full record

ArticlebioRxiv : the preprint server for biology2023

A comparative analysis of microglial inducible Cre lines.

Travis E Faust, Philip A Feinberg, Ciara O'Connor, Riki Kawaguchi, Andrew Chan, Haley Strasburger, Takahiro Masuda, Lukas Amann, Klaus-Peter Knobeloch, Marco Prinz and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Travis E FaustDepartment of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Philip A FeinbergDepartment of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Ciara O'ConnorDepartment of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Riki KawaguchiDepartment of Psychiatry and Neurology UCLA.
Andrew ChanDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai.
Haley StrasburgerDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai.
Takahiro MasudaInstitute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany.
Lukas AmannInstitute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany.
Klaus-Peter KnobelochInstitute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany.
Marco PrinzInstitute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany.
Anne SchaeferDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai.
Dorothy P SchaferDepartment of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.

Funding

Neuroprotective signaling and transcriptional pathways in microglia associated with Alzheimer's diseaseR01AG072489 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALISON M GOATE, Anne Schaefer · 2022 to 2026
$6.3M
Microglia-dependent mechanisms governing neural circuit plasticityR01MH113743 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Dorothy Patricia Schafer · 2017 to 2026
$4.9M
Age-dependent activation of microglia inflammatory state and its epigenetic modulationRF1AG068558 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHAEFER, ANNE, TARAKHOVSKY, ALEXANDER · 2020 to 2020
$3.0M
How Do Synaptic Connections Change in Demyelinating Disease?R01NS117533 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHAFER, DOROTHY PATRICIA · 2021 to 2025
$2.2M
Microglia mediated suppression of dopamine induced neuronal responses and behaviorR01MH118329 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHAEFER, ANNE · 2019 to 2023
$2.1M
Transcriptional Control of Microglia Diversification and InflammationR01NS106721 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHAEFER, ANNE, TARAKHOVSKY, ALEXANDER · 2020 to 2024
$2.0M
Dissecting the impact of senescence on microglia function and neurodegenerationRF1AG068281 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHAFER, DOROTHY PATRICIA, ZHANG, HONG · 2020 to 2020
$1.7M
NIA NIH HHS R01 AG072489NIA NIH HHS RF1 AG068281NIA NIH HHS RF1 AG068558NIMH NIH HHS R01 MH113743NIMH NIH HHS R01 MH118329NINDS NIH HHS R01 NS106721NINDS NIH HHS R01 NS117533
6 · The paper itself

Abstract

Cre/LoxP technology has revolutionized genetic studies and allowed for spatial and temporal control of gene expression in specific cell types. The field of microglial biology has particularly benefited from this technology as microglia have historically been difficult to transduce with virus or electroporation methods for gene delivery. Here, we interrogate four of the most widely available microglial inducible Cre lines. We demonstrate varying degrees of recombination efficiency and spontaneous recombination, depending on the Cre line and loxP distance. We also establish best practice guidelines and protocols to measure recombination efficiency in microglia, which could be extended to other cell types. There is increasing evidence that microglia are key regulators of neural circuit structure and function. Microglia are also major drivers of a broad range of neurological diseases. Thus, reliable manipulation of their function in vivo is of utmost importance. Identifying caveats and benefits of all tools and implementing the most rigorous protocols are crucial to the growth of the field of microglial biology and the development of microglia-based therapeutics.

Identifiers

PMID36711492
PMCPMC9881995

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Registered trials

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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.