ArticleNature reviews. Immunology2018
Regulation of T cell signalling by membrane lipids.
Article in Nature reviews. Immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Metabolic crosstalk in the tumor microenvironment regulates antitumor immunosuppression and immunotherapy resisitance.Cellular and molecular life sciences : CMLS · 2021Review
- Characterization and Proteomic-Transcriptomic Investigation of Monocarboxylate Transporter 6 Knockout Mice: Evidence of a Potential Role in Glucose and Lipid Metabolism.Molecular pharmacology · 2019Article
- Comparison of Single Phase and Biphasic Extraction Protocols for Lipidomic Studies Using Human Plasma.Frontiers in neurology · 2019Article
Corrections and comments
- Erratum for
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This corrects the article DOI: 10.1038/nri.2016.103.
Identifiers
29430016What 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.