ArticlemBio2013
Carbon catabolite control in Candida albicans: new wrinkles in metabolism.
Article in mBio, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 29 citations in OpenAlex.
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- Structural and functional characterisation and regulatory mechanisms of SWI/SNF and RSC chromatin remodelling complexes in fungi.Mycology · 2025Review
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- Comparative genomics reveals that metabolism underlies evolution of entomopathogenicity in bee-loving Ascosphaera spp. fungi.Journal of invertebrate pathology · 2022Article
- Metabolic Reprogramming in the Opportunistic Yeast Candida albicans in Response to Hypoxia.mSphere · 2020Article
- Potential Antifungal Targets Based on Glucose Metabolism Pathways ofFrontiers in microbiology · 2020Review
- A novel genetic circuitry governing hypoxic metabolic flexibility, commensalism and virulence in the fungal pathogen Candida albicans.PLoS pathogens · 2019Article
- Phenotypic characteristics and transcriptome profile of Cryptococcus gattii biofilm.Scientific reports · 2019Article
- Factors driving metabolic diversity in the budding yeast subphylum.BMC biology · 2018Article
- The FFrontiers in microbiology · 2018Article
- Metabolism in fungal pathogenesis.Cold Spring Harbor perspectives in medicine · 2014Review
- The interplay between gut bacteria and the yeastGut microbesArticle
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Most microorganisms maintain strict control of nutrient assimilation pathways to ensure that they preferentially use compounds that generate the most energy or are most efficiently catabolized. In doing so, they avoid potentially inefficient conflicts between parallel catabolic and metabolic pathways. The regulation of carbon source utilization in a wide array of bacterial and fungal species involves both transcriptional and posttranscriptional mechanisms, and while the details can vary significantly, carbon catabolite control is widely conserved. In many fungi, the posttranslational aspect (carbon catabolite inactivation [CCI]) involves the ubiquitin-mediated degradation of catabolic enzymes for poor carbon sources when a preferred one (glucose) becomes available. A recent article presents evidence for a surprising exception to CCI in the fungal pathogen Candida albicans, an organism that makes use of gluconeogenic carbon sources during infection (D. Sandai, Z. Yin, L. Selway, D. Stead, J. Walker, M. D. Leach, I. Bohovych, I. V. Ene, S. Kastora, S. Budge, C. A. Munro, F. C. Odds, N. A. Gow, and A. J. Brown, mBio 3[6]:e00495-12). In vitro, addition of glucose to cells grown in a poor carbon source rapidly represses transcripts encoding gluconeogenic and glyoxylate cycle enzymes, such as phosphoenolpyruvate carboxykinase (Pck1p) and isocitrate lyase (Icl1p), in both C. albicans and Saccharomyces cerevisiae. Yet, uniquely, the C. albicans proteins persist, permitting parallel assimilation of multiple carbon sources, likely because they lack consensus ubiquitination sites found in the yeast homologs. Indeed, the yeast proteins are rapidly degraded when expressed in C. albicans, indicating a conservation of the machinery needed for CCI. How this surprising metabolic twist contributes to fungal commensalism or pathogenesis remains an open question.
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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.