The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Adaptive Response and Tolerance to Weak Acids in Saccharomyces cerevisiae : A Genome-Wide View
Open accessAbstract
Weak acids are widely used as food preservatives (e.g., acetic, propionic, benzoic, and sorbic acids), herbicides (e.g., 2,4-dichlorophenoxyacetic acid), and as antimalarial (e.g., artesunic and artemisinic acids), anticancer (e.g., artesunic acid), and immunosuppressive (e.g., mycophenolic acid) drugs, among other possible applications. The understanding of the mechanisms underlying the adaptive response and resistance to these weak acids is a prerequisite to develop more effective strategies to control spoilage yeasts, and the emergence of resistant weeds, drug resistant parasites or cancer cells. Furthermore, the identification of toxicity mechanisms and resistance determinants to weak acid-based pharmaceuticals increases current knowledge on their cytotoxic effects and may lead to the identification of new drug targets. This review integrates current knowledge on the mechanisms of toxicity and tolerance to weak acid stress obtained in the model eukaryote Saccharomyces cerevisiae using genome-wide approaches and more detailed gene-by-gene analysis. The major features of the yeast response to weak acids in general, and the more specific responses and resistance mechanisms towards a specific weak acid or a group of weak acids, depending on the chemical nature of the side chain R group (R-COOH), are highlighted. The involvement of several transcriptional regulatory networks in the genomic response to different weak acids is discussed, focusing on the regulatory pathways controlled by the transcription factors Msn2p/Msn4p, War1p, Haa1p, Rim101p, and Pdr1p/Pdr3p, which are known to orchestrate weak acid stress response in yeast. The extrapolation of the knowledge gathered in yeast to other eukaryotes is also attempted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Genomic Expression Programs in the Response of Yeast Cells to Environmental Changes
Gasch, A. P., Spellman, P. T., Kao, C. M., Carmel-Harel, O., Eisen, M. B., Storz, G., Botstein, D., & Brown, P. O. (2000) · Molecular Biology of the Cell · doi:10.1091/mbc.11.12.4241 · Cited by 4,815
Artemisinin Resistance in Plasmodium falciparum Malaria
Dondorp, A. M., Nosten, F., Yi, P., Das, D., Phyo, A. P., Tarning, J., Lwin, K. M., Ariey, F., Hanpithakpong, W., Lee, S. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808859 · Cited by 3,424
Fermentation of lignocellulosic hydrolysates. I: inhibition and detoxification
Palmqvist, E., & Hahn-Hägerdal, B. (2000) · Bioresource Technology · doi:10.1016/s0960-8524(99)00160-1 · Cited by 1,370
Microbiological Safety and Quality of Food
Lund, B. M., Baird-Parker, T. C., & Gould, G. W. (1999) · Medical Entomology and Zoology · Cited by 1,144
The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes
Hillenmeyer, M. E., Fung, E., Wildenhain, J., Pierce, S. E., Hoon, S., Lee, W., Proctor, M., St.Onge, R. P., Tyers, M., Koller, D., et al. (2008) · Science · doi:10.1126/science.1150021 · Cited by 1,003
Teixeira, M. C. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj013 · Cited by 490
Self-citationYeast responses to stresses associated with industrial brewery handling: Figure 1
Gibson, B. R., Lawrence, S. J., Leclaire, J. P. R., Powell, C. D., & Smart, K. A. (2007) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.2007.00076.x · Cited by 490
Molecular Modes of Action of Artesunate in Tumor Cell Lines
Efferth, T., Sauerbrey, A., Olbrich, A., Gebhart, E., Rauch, P., Weber, H. O., Hengstler, J. G., Halatsch, M.-E., Volm, M., Tew, K. D., et al. (2003) · Molecular Pharmacology · doi:10.1124/mol.64.2.382 · Cited by 428
The Where, When, and How of Organelle Acidification by the Yeast Vacuolar H + -ATPase
Kane, P. M. (2006) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.70.1.177-191.2006 · Cited by 390
Piper, P., Calderon, C. O., Hatzixanthis, K., & Mollapour, M. (2001) · Microbiology · doi:10.1099/00221287-147-10-2635 · Cited by 389
Cited by
Proton transport and pH control in fungi
Kane, P. M. (2016) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-319-25304-6_3 · Cited by 131
Yeast toxicogenomics: Lessons from a eukaryotic cell model and cell factory
dos Santos, S. C., & Sá-Correia, I. (2015) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2015.03.001 · Cited by 49
Self-citationCosta, C., Henriques, A., Pires, C., Nunes, J., Ohno, M., Chibana, H., Sá-Correia, I., & Teixeira, M. C. (2013) · Frontiers in Microbiology · doi:10.3389/fmicb.2013.00170 · Cited by 45
Self-citationThe Role of Fatty Acid Metabolites in Vaginal Health and Disease: Application to Candidiasis
Baldewijns, S., Sillen, M., Palmans, I., Vandecruys, P., Van Dijck, P., & Demuyser, L. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.705779 · Cited by 44
Johnston, N. R., Nallur, S., Gordon, P. B., Smith, K. D., & Strobel, S. A. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01410 · Cited by 18
Metadata
- Authors
- Mira, N. P., Teixeira, M. C., & Sá-Correia, I.
- Venue
- OMICS: A Journal of Integrative Biology
- Publisher
- SAGE Publications
- Published
- 2010-10
- Volume
- 14
- Issue
- 5
- Pages
- 525-540
- ISSN
- 1536-2310 (ISSN-L)
- 1557-8100
- OpenAlex
- W2058918320
- Cited by
- 295
- References
- 86
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adaptive Response and Tolerance to Weak Acids in Saccharomyces cerevisiae : A Genome-Wide View. https://app.cochat.ai/papers/10.1089/omi.2010.0072
- The paper
- Mira, N. P., Teixeira, M. C., & Sá-Correia, I. (2010). Adaptive Response and Tolerance to Weak Acids in Saccharomyces cerevisiae : A Genome-Wide View. OMICS: A Journal of Integrative Biology. https://doi.org/10.1089/omi.2010.0072
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
