Evidence map›Paper›PMID 36595900›Full record

ArticleSTAR protocols2022

Protocol to quantify and characterize contact between T cells and antigen-presenting cells in the antigen-draining lymph nodes of mice using flow cytometry.

Naoya Tatsumi, Alejandro Davila-Pagan, Yosuke Kumamoto

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Naoya TatsumiCenter for Immunity and Inflammation, Rutgers New Jersey Medical School, Newark, NJ 07103, USA; Department of Pathology, Immunology and Laboratory Medicine, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
Alejandro Davila-PaganCenter for Immunity and Inflammation, Rutgers New Jersey Medical School, Newark, NJ 07103, USA; Department of Pathology, Immunology and Laboratory Medicine, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
Yosuke KumamotoCenter for Immunity and Inflammation, Rutgers New Jersey Medical School, Newark, NJ 07103, USA; Department of Pathology, Immunology and Laboratory Medicine, Rutgers New Jersey Medical School, Newark, NJ 07103, USA. Electronic address: yosuke.kumamoto@rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Regulation of Th2 differentiation by skin-resident dendritic cellsR01AI132576 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI YOSUKE KUMAMOTO · 2017 to 2026
$3.8M
NIAID NIH HHS R01 AI132576
6 · The paper itself

Abstract

Physical contact between T cells and antigen-presenting cells (APCs) is essential for priming antigen-specific T cells, but quantitating the antigen-dependent T cell-APC contact can be laborious. Here, we present a simple flow-cytometry-based protocol for quantitating T cell-APC contacts in the antigen-draining lymph node in mice immunized with ovalbumin (OVA). This protocol quantifies the contact between adoptively transferred OVA-specific TCR transgenic CD4T (OT-II) cells and dendritic cell (DC) subsets. This approach can be applied to other types of intercellular interactions between T cells and APCs. For complete details on the use and execution of this protocol, please refer to Tatsumi et al. (2021).

Indexed as

AntigensT-LymphocytesAnimalsAntigen-Presenting CellsFlow CytometryLymph NodesMiceAntigensFlow Cytometry/Mass CytometryImmunologyMicrobiology

Identifiers

PMID36595900
PMCPMC9667299
OpenAlexW4308842755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.