Evidence map›Paper›PMID 15885135›Full record

ArticleImmunology2005

Identification of T-cell epitopes on U1A protein in MRL/lpr mice: double-negative T cells are the major responsive cells.

Mei-Hui Yang, Jau-Ling Suen, Shiao-Lan Li, Bor-Luen Chiang

Open access · greenAbstract read
In one paragraph

Article in Immunology, 2005. 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
0.3field-weighted citation impact, top 43% 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, 7 citations in OpenAlex.

  1. Article
  2. Frontiers in immunology · 2021
    Article
  3. Review
  4. 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

4 authors at 3 institutions in 1 country.

Mei-Hui YangGraduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.
Jau-Ling Suen
Shiao-Lan Li
Bor-Luen Chiang
National Taiwan University · TWChang Gung University · TWKaohsiung Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is characterized by the existence of a heterogeneous group of autoantibodies such as anti-DNA, chromatin, histone, and ribonucleoprotein antibodies (Abs). Although the B-cell antigenic determinants have been well characterized, very limited data about the T-cell epitopes of self-antigen (Ag) have been reported. In the present study, we analysed auto-T-cell epitopes using bone marrow-derived dendritic cells (BM-DCs) pulsed with murine U1A (mU1A) protein capable of activating autoreactive T cells from unprimed MRL/lpr mice in vitro. The data suggested that there are at least four T-cell epitopes on the U1A protein, U1A31-50, U1A61-80, U1A201-220 and U1A271-287, and U1A31-50 had the most significant T-cell proliferative response. In addition, the main responsive T cells are the CD4- CD8- double-negative subgroup of T cells. Furthermore, we also demonstrated that the activation of double-negative T cells is major histocompatibility complex class II restricted. The study here provides information on T-cell epitope analysis of the U1A antigen using BM-DCs as the effective antigen-presenting cells.

Indexed as

AgingAnimalsAntibodies, AntinuclearAutoantibodiesAutoantigensBone Marrow CellsCD4 AntigensCD8 AntigensCell ProliferationCells, CulturedDendritic CellsDisease Models, AnimalEpitopes, T-LymphocyteFemaleGenes, MHC Class IILupus Erythematosus, SystemicAntibodies, AntinuclearAutoantibodiesAutoantigensCD4 AntigensCD8 AntigensEpitopes, T-LymphocyteRibonucleoprotein, U1 Small NuclearRNA-Binding ProteinsU1A protein

Identifiers

PMID15885135
PMCPMC1782149
OpenAlexW2042234833

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.