ArticleJournal of bacteriology2012
Complete genome sequence of Mycobacterium vaccae type strain ATCC 25954.
Article in Journal of bacteriology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- The first case ofAccess microbiology · 2020Article
- Draft Genome Sequence of Mycobacterium parafortuitum Strain P7335.Microbiology resource announcements · 2018Article
- Proteogenomic Analysis and Discovery of Immune Antigens inMolecular & cellular proteomics : MCP · 2017Article
- Differential Immune Responses and Protective Effects in Avirulent Mycobacterial Strains Vaccinated BALB/c Mice.Current microbiology · 2015Article
- Two human host defense ribonucleases against mycobacteria, the eosinophil cationic protein (RNase 3) and RNase 7.Antimicrobial agents and chemotherapy · 2013Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycobacterium vaccae is a rapidly growing, nontuberculous Mycobacterium species that is generally not considered a human pathogen and is of major pharmaceutical interest as an immunotherapeutic agent. We report here the annotated genome sequence of the M. vaccae type strain, ATCC 25954.
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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.