Dergiler / Biotech Studies / 2020 / Cilt: 29 - Sayı: 1

Meta-analysis of transcriptome data on oxidative stress response in Saccharomyces cerevisiae cells underlines regulation of carbon, redox and glutathione metabolism

Sayfa
8–17
Yayın Tarihi
2022-10-12
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This result illustrates bioinformatics analysis for large, aggregated transcriptome datasets, as a steppingstone for finding common features and further metabolic engineering targets were developed.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Environmental stress adversely affects living systems within medical as well as industrial context, causing either diseases or resulting in e.g. underperforming production processes.
📊
Temel Bulgular & Veri:In particular oxidative stress in industrial biotechnology context, manifested as the imbalance in generation of reactive oxygen species and antioxidant capacity causes yield losses both in growth and production in baker’s yeast.
💡
Sonuç & Katkı:This result illustrates bioinformatics analysis for large, aggregated transcriptome datasets, as a steppingstone for finding common features and further metabolic engineering targets were developed.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Oxidative stress · Rank aggregation · Saccharomyces cerevisiae

Abstract

Environmental stress adversely affects living systems within medical as well as industrial context, causing either diseases or resulting in e.g. underperforming production processes. In particular oxidative stress in industrial biotechnology context, manifested as the imbalance in generation of reactive oxygen species and antioxidant capacity causes yield losses both in growth and production in baker’s yeast. Oxidative stress response studies for Saccharomyces cerevisiae at transcriptome level are using either direct induction methods such as treatment with peroxides or indirect induction methods such as treatment with drugs or toxins. To extract common response mechanisms integrating all conditions is of high value. To this end, this study collects, processes and aggregates published transcriptome data from studies that examined the response using both direct and indirect oxidative stress induction methods. Interestingly, carbon metabolism, oxidation reduction processes and glutathione metabolic process were found to be the common mechanisms involved in oxidative stress response. However, ion homeostasis and hexose transport mechanisms have been shown to be affected from direct induction using peroxides. This result illustrates bioinformatics analysis for large, aggregated transcriptome datasets, as a steppingstone for finding common features and further metabolic engineering targets were developed.

🔖

Bu Makaleye Atıf Yap

NİKEREL, E., ŞİRİN, B., TANIL, E. (2022). Meta-analysis of transcriptome data on oxidative stress response in Saccharomyces cerevisiae cells underlines regulation of carbon, redox and glutathione metabolism. Biotech Studies, Cilt: 29 - Sayı: 1, 8–17. https://ajindex.com/articles/466205

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (7)

  1. Assou, S., Le Carrour, T., Tondeur, S., Ström, S., Gabelle, A., Marty, S., Nadal, L., Pandesco, V., Reme, T. Hugnot, J. P., Gasca, S., Hovatta, O., Hamamah, S., Klein, B., & De Vos, J. (2007). A meta‐analysis of human embryonic stem cells transcriptome integrated into a web‐based expression atlas. Stem cells, 25(4), 961-973.
  2. Bhasin, M. K., Ndebele, K., Bucur, O., Yee, E. U., Otu, H. H., Plati, J., Bullock, A., Gu, X., Castan, E., Zhang, P., Najarian, R., Muraru, M. S., Miksad, R., Khosravi-Far, R., & Libermann, T. A. (2016). Meta-analysis of transcriptome data identifies a novel 5-gene pancreatic adenocarcinoma classifier. Oncotarget, 7(17), 23263. Breuer, U., Terentiev, Y., Kunze, G., & Babel, W. (2002). Yeasts as producers of polyhydroxyalkanoates: genetic engineering of Saccharomyces cerevisiae. Macromolecular bioscience, 2(8), 380-386.
  3. Borresen, E. C., Henderson, A. J., Kumar, A., Weir, T. L., & Ryan, E. P. (2012). Fermented foods: patented approaches and formulations for nutritional supplementation and health promotion. Recent patents on food, nutrition & agriculture, 4(2), 134-140.
  4. Cabiscol, E., Piulats, E., Echave, P., Herrero, E., & Ros, J. (2000). Oxidative stress promotes specific protein damage in Saccharomyces cerevisiae. Journal of Biological Chemistry, 275(35), 27393-27398.
  5. Carbon, S., Ireland, A., Mungall, C. J., Shu, S., Marshall, B., Lewis, S., the Amigo Hub, & the Web Presence Working Group. (2009). AmiGO: online access to ontology and annotation data. Bioinformatics, 25(2), 288-289.
  6. Cardona, C. A., Orrego, C. E., & Paz, I. C. (2009). The Potential for production of bioethanol and bioplastics from potato starch in Colombia. Fruit, Vegetable and Cereal Science and Biotechnology, 3, 102-114. Carmel‐Harel, O., Stearman, R., Gasch, A. P., Botstein, D., Brown, P. O., & Storz, G. (2001). Role of thioredoxin reductase in the Yap1p‐dependent response to oxidative stress in Saccharomyces cerevisiae. Molecular microbiology, 39(3), 595-605.
  7. Cheng, C., Tang, R. Q., Xiong, L., Hector, R. E., Bai, F. W., & Zhao, X. Q. (2018). Association of improved oxidative stress tolerance and alleviation of glucose repression with superior xylose-utilization capability by a natural isolate of Saccharomyces cerevisiae. Biotechnology for biofuels, 11(1), 28. Christodoulou, D., Link, H., Fuhrer, T., Kochanowski, K., Gerosa, L., & Sauer, U. (2018). Reserve flux capacity in the pentose phosphate pathway enables Escherichia coli's rapid response to oxidative stress. Cell