Article in Journal of immunology (Baltimore, Md. : 1950), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 60% 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
3 citing papers in PubMed, 2 citations in OpenAlex.
Xiaoping SunLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Bethesda, MD 21224.
Qun WangDepartment of Immunology, Duke University, Durham, NC 27710.
Yuan ZhuangDepartment of Immunology, Duke University, Durham, NC 27710.
Nan-Ping WengLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Bethesda, MD 21224; wengn@mail.nih.gov hodesr@31.nia.nih.gov.ORCID 0000-0001-8175-8953
Richard J HodesExperimental Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892; wengn@mail.nih.gov hodesr@31.nia.nih.gov.ORCID 0000-0002-8142-5742
National Institutes of Health · USDuke University · USMassachusetts Institute of Technology · US
Funding
Application of Flow Cytometry to Cell BiologyZICBC009255 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CROSSMAN, ASSIATU · 2009 to 2025
$26.4M
Analysis of the T Cell RepertoireZIABC009265 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HODES, RICHARD J. · 2009 to 2023
$10.2M
HEB MEDIATED PATHWAYS AND FUNCTION IN T CELL DEVELOPMENTR01GM059638 · NIGMS · DUKE UNIVERSITY · PI CHAN, FRANCIS KAMING · 1999 to 2021
$6.9M
TCR repertoire: size, diversity, and functionZIAAG000499 · NIA · NATIONAL INSTITUTE ON AGING · PI WENG, NAN-PING PETER · 2017 to 2025
$3.6M
ANALYSIS OF THE T CELL REPERTOIREZ01BC009265 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HODES, RICHARD J. · 1996 to 2008
Thymic regulatory T cells (tTreg) are critical in the maintenance of normal T cell immunity and tolerance. The role of TCR in tTreg selection remains incompletely understood. In this study, we assessed TCRα and TCRβ sequences of mouse tTreg and thymic conventional CD4
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.
TCR Repertoires of Thymic Conventional and Regulatory T Cells: Identification and Characterization of Both Unique and Shared TCR Sequences. · full record | OpenQuestion