ArticleCell reports2020
Sialyl-Lewis
Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 26 citations in OpenAlex.
- A comprehensive N-glycoproteome atlas reveals tissue-specific glycan remodeling but non-random structural microheterogeneities.Nature communications · 2026Article
- HIV-induced sialoglycans on infected CD4+ T cells promote immune evasion from myeloid cell-mediated killing.Nature communications · 2025Article
- Beyond glycan barriers: non-cognate ligands and protein mimicry approaches to elicit broadly neutralizing antibodies for HIV-1.Journal of biomedical science · 2024Review
- HIV-1 interaction with aniScience · 2024Article
- Infection and the Glycome─New Insights into Host Response.ACS infectious diseases · 2024Review
- A novel dual-recognition fluorescent biosensor for sialyl-LewisMikrochimica acta · 2024Article
- Advances in HIV Research Using Mass Cytometry.Current HIV/AIDS reports · 2023Review
- Lectins from plants and algae act as anti-viral against HIV, influenza and coronaviruses.Molecular biology reports · 2022Review
- Deep learning explains the biology of branched glycans from single-cell sequencing data.iScience · 2022Article
- Article
- Glycosylation as a key parameter in the design of nucleic acid vaccines.Current opinion in structural biology · 2022Review
- Glycan-Lectin Interactions in Cancer and Viral Infections and How to Disrupt Them.International journal of molecular sciences · 2021Review
- In Planta Production of the Receptor-Binding Domain From SARS-CoV-2 With Human Blood Group A Glycan Structures.Frontiers in chemistry · 2021Article
- Phenotypic Characterization of SLeSTAR protocols · 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
14 authors at 6 institutions in 3 countries.
Funding
Abstract
A comprehensive understanding of the phenotype of persistent HIV-infected cells, transcriptionally active and/or transcriptionally inactive, is imperative for developing a cure. The relevance of cell-surface glycosylation to HIV persistence has never been explored. We characterize the relationship between cell-surface glycomic signatures and persistent HIV transcription in vivo. We find that the cell surface of CD4
Indexed as
Identifiers
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.