ReviewMicrobial cell factories2011
Systems biology of lactic acid bacteria: a critical review.
Review in Microbial cell factories, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- All Driven by Energy Demand? Integrative Comparison of Metabolism of Enterococcus faecalis Wildtype and a Glutamine Synthase Mutant.Microbiology spectrum · 2022Article
- The Effect of Recombinant Protein Production inMicroorganisms · 2022Review
- Synthesis, characterisation and cytotoxicity of gold microwires for ultra-sensitive biosensor development.Microbial cell factories · 2021Article
- Enhancement of amino acid production and secretion byMetabolic engineering communications · 2020Article
- Selecting for lactic acid producing and utilising bacteria in anaerobic enrichment cultures.Biotechnology and bioengineering · 2020Article
- Development ofFrontiers in microbiology · 2020Article
- Development of omics-based protocols for the microbiological characterization of multi-strain formulations marketed as probiotics: the case of VSL#3.Microbial biotechnology · 2019Article
- Systems Biology - A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria.Frontiers in microbiology · 2019Review
- Probiotic strains detect and suppress cholera in mice.Science translational medicine · 2018Article
- Constraint-based modeling in microbial food biotechnology.Biochemical Society transactions · 2018Review
- Article
- Biochemical Engineering Approaches for Increasing Viability and Functionality of Probiotic Bacteria.International journal of molecular sciences · 2016Review
- Lactate dehydrogenase is the key enzyme for pneumococcal pyruvate metabolism and pneumococcal survival in blood.Infection and immunity · 2014Article
- Genome-scale metabolic reconstructions of Bifidobacterium adolescentis L2-32 and Faecalibacterium prausnitzii A2-165 and their interaction.BMC systems biology · 2014Article
- Monte-Carlo modeling of the central carbon metabolism of Lactococcus lactis: insights into metabolic regulation.PloS one · 2014Article
- Bacterial cell factories for recombinant protein production; expanding the catalogue.Microbial cell factories · 2013Article
- Genome duplication and mutations in ACE2 cause multicellular, fast-sedimenting phenotypes in evolved Saccharomyces cerevisiae.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Efficient production of l-lactic acid by an engineered Thermoanaerobacterium aotearoense with broad substrate specificity.Biotechnology for biofuels · 2013Article
- Biosynthesis of UDP-N,N'-diacetylbacillosamine in Acinetobacter baumannii: Biochemical characterization and correlation to existing pathways.Archives of biochemistry and biophysics · 2013Article
- Lactic Acid Bacteria: a promising alternative for recombinant protein production.Microbial cell factories · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the properties of a system as emerging from the interaction of well described parts is the most important goal of Systems Biology. Although in the practice of Lactic Acid Bacteria (LAB) physiology we most often think of the parts as the proteins and metabolites, a wider interpretation of what a part is can be useful. For example, different strains or species can be the parts of a community, or we could study only the chemical reactions as the parts of metabolism (and forgetting about the enzymes that catalyze them), as is done in flux balance analysis. As long as we have some understanding of the properties of these parts, we can investigate whether their interaction leads to novel or unanticipated behaviour of the system that they constitute. There has been a tendency in the Systems Biology community to think that the collection and integration of data should continue ad infinitum, or that we will otherwise not be able to understand the systems that we study in their details. However, it may sometimes be useful to take a step back and consider whether the knowledge that we already have may not explain the system behaviour that we find so intriguing. Reasoning about systems can be difficult, and may require the application of mathematical techniques. The reward is sometimes the realization of unexpected conclusions, or in the worst case, that we still do not know enough details of the parts, or of the interactions between them. We will discuss a number of cases, with a focus on LAB-related work, where a typical systems approach has brought new knowledge or perspective, often counterintuitive, and clashing with conclusions from simpler approaches. Also novel types of testable hypotheses may be generated by the systems approach, which we will illustrate. Finally we will give an outlook on the fields of research where the systems approach may point the way for the near future.
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.