ArticleNature2017
Immunology: The patterns of T-cell target recognition.
Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Targeting delayed healing tissues: immune reprogramming of adaptive immune cells by biomaterials.Regenerative biomaterials · 2026Review
- Disrupting explicit encoding paradigms: property-interactive transformers decode T-cell receptor specificity beyond dataset biases.Briefings in bioinformatics · 2025Article
- Advanced Immunomodulatory Biomaterials for Therapeutic Applications.Advanced healthcare materials · 2025Review
- Generation of functionally distinct T-cell populations by altering the viscoelasticity of their extracellular matrix.Nature biomedical engineering · 2023Article
- Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity.Communications biology · 2023Article
- Characterization of the chicken T cell receptor γ repertoire by high-throughput sequencing.BMC genomics · 2021Article
- Characterization and Monitoring of Antigen-Responsive T Cell Clones Using T Cell Receptor Gene Expression Analysis.Frontiers in immunology · 2020Article
- Single-cell transcriptomics to explore the immune system in health and disease.Science (New York, N.Y.) · 2017Review
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
28636588What 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.