ArticleJournal of autoimmunity2020
Tracking immunodynamics by identification of S-G
Article in Journal of autoimmunity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- TCF1bioRxiv : the preprint server for biology · 2026Article
- Supersulfide controls intestinal inflammation by suppressing CD4Frontiers in immunology · 2025Article
- Proliferating CLL cells express high levels of CXCR4 and CD5.HemaSphere · 2024Article
- EXTOD-Immune: a randomised controlled trial to investigate whether a remotely monitored, home-based exercise intervention can reduce disease activity in people with type 1 diabetes.BMJ open sport & exercise medicine · 2024Article
- Innate TCRβ-chain engagement drives human T cells toward distinct memory-like effector phenotypes with immunotherapeutic potentials.Science advances · 2023Article
- COVID-19: Using high-throughput flow cytometry to dissect clinical heterogeneity.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Review
- Improved memory CD8 T cell response to delayed vaccine boost is associated with a distinct molecular signature.Frontiers in immunology · 2023Article
- Low-dose IL-2 reduces IL-21Nature communications · 2022Article
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition).European journal of immunology · 2021Review
- OMIP-079: Cell cycle of CD4Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021Article
- To Ki or Not to Ki: Re-Evaluating the Use and Potentials of Ki-67 for T Cell Analysis.Frontiers in immunology · 2021Article
- A dynamic COVID-19 immune signature includes associations with poor prognosis.Nature medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
The ready availability of human blood makes it the first choice for immuno-monitoring. However, this has been largely confined to static metrics, particularly resting T cell phenotypes. Conversely, dynamic assessments have mostly relied on cell stimulation in vitro which is subject to multiple variables. Here, immunodynamic insights from the peripheral blood are shown to be obtainable by applying a revised approach to cell-cycle analysis. Specifically, refined flow cytometric protocols were employed, assuring the reliable quantification of T cells in the S-G
Indexed as
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What OpenQuestion holds
Registered trials
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.