ArticleViral immunology2020
Elucidating Specificity Opens a Window to the Complexity of Both the Innate and Adaptive Immune Systems.
Article in Viral immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
1 author.
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Abstract
Science is a tedious and painstaking business. Many discoveries are considered incremental, individually not necessarily earth shattering, but collectively providing the critical broad framework on which pivotal insights can emerge. Transformational discoveries spring from this knowledge legacy of others and spur a fervent discovery process, often driven by technological developments. The seminal discovery of major histocompatibility class restriction I (MHCI) and its role in antiviral infections by Doherty and Zinkernagel in 1974 was one such discovery-the key that unlocked the treasure chest to the rich tapestry of the diversity of the immune system. An army of researchers have teased apart the different elements of the immune response, which now brings us to a deeper understanding of immune memory and protective immunity. In this process, it has uncovered a multitude of cell types that bridge the innate and adaptive arms of the immune system-blurring the line between these two branches-and ultimately fortifying the development of long-term immune protection.
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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.