Evidence map›Paper›PMID 34041501›Full record

ArticleSTAR protocols2021

Culture, expansion, and flow-cytometry-based functional analysis of pteropid bat MR1-restricted unconventional T cells.

Wan Rong Sia, Ying Ying Hey, Randy Foo, Lin-Fa Wang, Edwin Leeansyah

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2021. 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
1.1field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Frontiers in immunology · 2022
    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

5 authors at 2 institutions in 3 countries.

Wan Rong SiaProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore 169857, Singapore.
Ying Ying HeyProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore 169857, Singapore.
Randy FooProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore 169857, Singapore.
Lin-Fa WangProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore 169857, Singapore.
Edwin LeeansyahInstitute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, People's Republic of China.
National University of Singapore · SGSingHealth · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bats harbor viruses of global public health significance. Understanding bat immune systems may provide intervention strategies to prevent zoonotic disease transmission and identify therapeutic targets. This protocol describes how to culture and expand pteropid bat unconventional T cells, restricted by the MHC-I-related protein 1 (MR1), an MHC-I-like protein. Using multicolor flow-cytometry-based techniques, we examine pteropid MR1T cell functionality, including proliferative capacity, cytotoxicity, and cytokine production. This protocol can be adapted to aid immunological research in other bat species. For complete details on the use and execution of this protocol, please refer to Leeansyah et al. (2020b).

Indexed as

ChiropteraAnimalsCell Culture TechniquesCells, CulturedFlow CytometryHistocompatibility Antigens Class IMinor Histocompatibility AntigensT-LymphocytesHistocompatibility Antigens Class IMinor Histocompatibility AntigensCell-based AssaysCell cultureCell isolationFlow Cytometry/Mass CytometryImmunology

Identifiers

PMID34041501
PMCPMC8141941
OpenAlexW3161645647

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.