Evidence map›Paper›PMID 37688724›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Identification of Immune Cells in Murine Olfactory Mucosa.

Sebastian A Wellford, E Ashley Moseman

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Sebastian A WellfordDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC, USA.
E Ashley MosemanDepartment of Integrative Immunobiology, Duke University School of Medicine, Durham, NC, USA. ashley.moseman@duke.edu.
Duke University · US

Funding

Basic Immunology Training ProgramT32AI052077 · NIAID · DUKE UNIVERSITY · PI KRANGEL, MICHAEL S · 2002 to 2024
$4.2M
Treatment of Primary Amoebic Meningoencephalitis via Modulation of Antibody Effector FunctionsR01NS121067 · NINDS · DUKE UNIVERSITY · PI MOSEMAN, E. ASHLEY · 2021 to 2025
$2.0M
Infectious Influence: Using fate mapping to determine the impact of viral infection sites on Alzheimer's disease initiationR21AG074324 · NIA · DUKE UNIVERSITY · PI MOSEMAN, E. ASHLEY · 2021 to 2022
$439k
NIAID NIH HHS T32 AI052077NIA NIH HHS R21 AG074324NINDS NIH HHS R01 NS121067
6 · The paper itself

Abstract

Olfactory immunology is an emerging field in the context of infectious disease and neuroimmunology, yet characterization of immune cells within the murine olfactory mucosa remains sparse. This is partially due to the difficulty in distinguishing olfactory-resident immune cells from immune cells that reside within nasal turbinate bone marrow. Using techniques like intranasal antibody labeling, we have developed methods to definitively identify olfactory immune cells via flow cytometry and immunofluorescent confocal microscopy. This protocol will describe the best practices for these methods, as well as detail how intravenous antibody labeling can be used to study the blood-olfactory barrier, an important determinant of olfactory immunity. We also include validated markers for the identification of major olfactory immune populations.

Indexed as

AntibodiesColoring AgentsAnimalsFlow CytometryImmunoglobulins, IntravenousMiceMicroscopy, ConfocalAntibodiesColoring AgentsImmunoglobulins, IntravenousBlood-olfactory barrierFlow cytometryImmunofluorescent confocal microscopyIntranasal antibody labelingMucosal immunityNeuroimmunologyOlfactory immunology

Identifiers

PMID37688724
PMCPMC10712565
OpenAlexW4386569130

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.