ArticleCells2020
The Landscape of
Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 26 citations in OpenAlex.
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- Subtractive Proteomic Approaches to Identify Drug Targets: An Analysis on Hypothetical Proteins of Multidrug-ResistantACS omega · 2025Article
- Evaluation of highly conserved Burkholderia pseudomallei outer membrane proteins as protective antigens against respiratory melioidosis.NPJ vaccines · 2025Article
- A computational approach to developing a multi-epitope vaccine for combating Pseudomonas aeruginosa-induced pneumonia and sepsis.Briefings in bioinformatics · 2024Article
- Factor H-related protein 1 promotes complement-mediated opsonization ofFrontiers in cellular and infection microbiology · 2024Article
- Systems serology in cystic fibrosis: Anti-Pseudomonas IgG1 responses and reduced lung function.Cell reports. Medicine · 2023Article
- Review
- Characterization of a soluble library of themicroLife · 2023Article
- Microvesicles released from activated CD4European journal of clinical investigation · 2022Article
- Metaproteomics as a tool for studying the protein landscape of human-gut bacterial species.PLoS computational biology · 2022Article
- Photoinactivation ofInternational journal of molecular sciences · 2021Article
- Immunization and Immunotherapy Approaches againstVaccines · 2021Review
- Equine Mesenchymal Stem/Stromal Cells Freeze-Dried Secretome (Lyosecretome) for the Treatment of Musculoskeletal Diseases: Production Process Validation and Batch Release Test for Clinical Use.Pharmaceuticals (Basel, Switzerland) · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background
methodsProteins and peptides were extracted by different methods and analyzed by Multidimensional Protein Identification Technology (MudPIT) approach. Proteomic data were processed by Discoverer2.1 software and multivariate statistics, i.e., Linear Discriminant Analysis (LDA), while the Immune Epitope Database (IEDB) resources were used to predict antigenicity and immunogenicity of experimental identified peptides and proteins.
resultsThe combination of 29 MudPIT runs allowed the identification of 10,611 peptides and 2539 distinct proteins. Following application of extraction methods enriching specific protein domains, about 15% of total identified peptides were classified in trans inner-membrane, inner-membrane exposed, trans outer-membrane and outer-membrane exposed. In this scenario, nine outer membrane proteins (OprE, OprI, OprF, OprD, PagL, OprG, PA1053, PAL and PA0833) were predicted to be highly antigenic. Thus, they were further processed and epitopes target of T cells (MHC Class I and Class II) and B cells were predicted.
conclusionThe present study represents one of the widest characterizations of the
Indexed as
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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.