ArticleNature communications2020
mRNA display with library of even-distribution reveals cellular interactors of influenza virus NS1.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Identifying a broad-spectrum influenza inhibitor that blocks multiple functions of viral NS1 protein.Nature communications · 2026Article
- Cell-Free Gene Expression: Methods and Applications.Chemical reviews · 2025Review
- Human cytomegalovirus microRNAs: strategies for immune evasion and viral latency.Archives of virology · 2024Review
- Identification of four mitochondria-related genes in sepsis based on RNA sequencing technology.BMC immunology · 2024Observational
- The molecular basis of differential host responses to avian influenza viruses in avian species with differing susceptibility.Frontiers in cellular and infection microbiology · 2023Article
- Benyuan Charity Fund-Young Investigator Exploration Award.Science China. Life sciences · 2022Article
- Lipogenesis inhibitors: therapeutic opportunities and challenges.Nature reviews. Drug discovery · 2022Review
- CPSF1 positively regulates NSDHL by alternative polyadenylation and promotes gastric cancer progression.American journal of cancer research · 2022Article
- Cleavage and Polyadenylation Specific Factor 1 Promotes Tumor ProgressionFrontiers in cell and developmental biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 4 institutions in 2 countries.
Funding
Abstract
A comprehensive examination of protein-protein interactions (PPIs) is fundamental for the understanding of cellular machineries. However, limitations in current methodologies often prevent the detection of PPIs with low abundance proteins. To overcome this challenge, we develop a mRNA display with library of even-distribution (md-LED) method that facilitates the detection of low abundance binders with high specificity and sensitivity. As a proof-of-principle, we apply md-LED to IAV NS1 protein. Complementary to AP-MS, md-LED enables us to validate previously described PPIs as well as to identify novel NS1 interactors. We show that interacting with FASN allows NS1 to directly regulate the synthesis of cellular fatty acids. We also use md-LED to identify a mutant of NS1, D92Y, results in a loss of interaction with CPSF1. The use of high-throughput sequencing as the readout for md-LED enables sensitive quantification of interactions, ultimately enabling massively parallel experimentation for the investigation of PPIs.
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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.