Evidence map›Paper›PMID 29387988›Full record

ArticleBiotechnology letters2018

Using marker gene analysis instead of mixed lymphocyte reaction assay for identification of functional CD4+FOXP3+ regulatory T cells.

Sin-Tak Chu, Kuo-Hsuan Chien, Hsiu-Hsia Lin, Wei-Hao Wu, Jhih-Yun Jian, Woan-Fang Tzeng, Tzeon-Jye Chiou

Abstract read
PubMed Publisher
In one paragraph

Article in Biotechnology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 50% 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 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

7 authors at 4 institutions in 1 country.

Sin-Tak ChuInstitute of Biochemical Science, College of Life Science, National Taiwan University, Taipei City, Taiwan.
Kuo-Hsuan ChienDivision of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsiu-Hsia LinDivision of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Wei-Hao WuDivision of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Jhih-Yun JianDivision of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Woan-Fang TzengDepartment of Life Science, Fu-Jen University, New Taipei City, Taiwan.
Tzeon-Jye ChiouDivision of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan. stc316@gate.sinica.edu.tw.
Taipei Veterans General Hospital · TWFu Jen Catholic University · TWNational Taiwan University · TWNational Yang Ming Chiao Tung University · TW

Funding

LIHPAO Life Science (R12004)Ministry of Science and Technology (MOST 105-2314-B-075-062-MY2Taipei Veterans General Hospital (V106C-179)
6 · The paper itself

Abstract

objectiveTo establish a quick analytical method using quantitative PCR for marker gene analysis to identify the functions of iTreg cells and subsequently curtail the harvest time for iTreg cells.

resultsThe data from the marker gene analysis indicated that varying proportions of iTreg cells could reveal the various expression levels of these genes. FoxP3 expression increased to a considerable degree. By using the same iTreg population, the mixed lymphocyte reaction assay was conducted for 5 days. The suppression percentage of T-cells was dependent on the proportion of iTreg cells, indicating that gene expression levels can represent the biological functions of iTreg cells. By using human peripheral blood mononuclear cells for Treg cell induction, the marker gene expression analysis showed a difference between iTreg cells and uninduced T cells.

conclusionMarker gene analysis requires only 1 day to identify the functions of human iTreg cells can save time in clinical application and might prevent graft-versus-host disease occurrence effectively.

Indexed as

CD4-Positive T-LymphocytesT-Lymphocytes, RegulatoryAnimalsCoculture TechniquesFlow CytometryForkhead Transcription FactorsGene Expression ProfilingGenetic MarkersHumansLeukocytes, MononuclearLymphocyte Culture Test, MixedMiceMice, Inbred BALB CForkhead Transcription FactorsFOXP3 protein, humanGenetic MarkersGene expression profileGraft-versus-host diseaseInduced regulatory T cellsMixed lymphocyte reactionPeripheral blood mononuclear cells

Identifiers

PMID29387988
OpenAlexW2787070084

What OpenQuestion holds

Textmetadata
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.