Change of Title: From High-Throughput to BioTech
1
Department of Biology and Biotechnologies “L.Spallanzani”, University of Pavia, 27100 Pavia, Italy
2
Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy
*
Author to whom correspondence should be addressed.
BioTech 2020, 9(4), 18; https://doi.org/10.3390/biotech9040018
Submission received: 8 September 2020
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Accepted: 8 September 2020
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Published: 22 September 2020
Founded in 2012, High-Throughput (formerly Microarrays) is a MDPI peer-reviewed journal that has published 216 articles so far, 29 of which are frequently cited (10 to 100 times) reports.
The publication of experimental data in numerous fields (Chemistry, Biochemistry and Life Sciences in general), soon evidenced the multidisciplinary approach of the journal. The articles published over these years contain topics ranging from the presentation of computational and statistical tools for data analysis and interpretation [1,2], to the development of novel high-throughput techniques [3,4,5,6], the search for new materials [7,8], and a variety of results in the “omics” field [9,10,11,12,13,14]. If ever there was a doubt, the current publication of excellent works spanning these fields is the proof that the journal has successfully achieved its intended purpose.
Alongside with regular volumes, a good number of special issues led by guest editors who are experts in the subject have published collections of articles focused on specific topics.
The journal has now arrived at a turning point since High-Throughput will soon be renamed BioTech from the fourth issue in 2020. What does this change of name entail?
The biotech area is well known to encompass a wide range of fields and procedures including genomics, proteomics, applied immunology, recombinant gene techniques, and development of pharmaceutical therapies.
Of particular interest is medical biotechnology, with all its applications aimed at improving the health of human beings. Investigations on technologies used to treat heritable and nonheritable diseases, as well as the production of therapeutic human proteins, or the use of living cells are of interest for the journal. Additional topics include investigations that help to optimize the use of blood as a source diagnostic, prognostic, or predictive information in human diseases, or the use of innovative diagnostic approaches for the early detection of cancer.
BioTech journal is interested in publishing papers in the genetics of plants and farm animals that can lead to an improvement in production and resistance to adverse climates or parasites.
BioTech has the main objective of being a vehicle for publications whose purpose is to improve the conditions of human beings. In so doing, BioTech will promote the publication of articles that show how modern technologies can have a positive impact in medicine as well as the production of food, pharmaceuticals, chemical products, and energy sources.
On behalf of the Editorial Board and the Editorial Office, we wish to thank all authors, reviewers and external editors for their support to High-Throughput during these years and welcome them to join us in developing BioTech to its full potential.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Eslami, T.; Saeed, F. Fast-GPU-PCC: A GPU-Based Technique to Compute Pairwise Pearson’s Correlation Coefficients for Time Series Data—fMRI Study. High-Throughput 2018, 7, 11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Danane, J.; Allali, K. Mathematical Analysis and Treatment for a Delayed Hepatitis B Viral Infection Model with the Adaptive Immune Response and DNA-Containing Capsids. High-Throughput 2018, 7, 35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ung, Y.T.; Ong, C.E.; Pan, Y. Current High-Throughput Approaches of Screening Modulatory Effects of Xenobiotics on Cytochrome P450 (CYP) Enzymes. High-Throughput 2018, 7, 29. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- D’Argenio, V. The High-Throughput Analyses Era: Are We Ready for the Data Struggle? High-Throughput 2018, 7, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rossi, O.; Molesti, E.; Saul, A.; Giannelli, C.; Micoli, F.; Necchi, F. Intra-Laboratory Evaluation of Luminescence Based High-Throughput Serum Bactericidal Assay (L-SBA) to Determine Bactericidal Activity of Human Sera against Shigella. High-Throughput 2020, 9, 14. [Google Scholar] [CrossRef] [PubMed]
- Araújo, R.; Ramalhete, L.; da Paz, H.; Ribeiro, E.; Cecília, R.C.C. A Simple, Label-Free, and High-Throughput Method to Evaluate the Epigallocatechin-3-Gallate Impact in Plasma Molecular Profile. High-Throughput 2020, 9, 9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Berger, D.; Rakhamimova, A.; Pollack, A.; Loewy, Z. Oral Biofilms: Development, Control, and Analysis. High-Throughput 2018, 7, 24. [Google Scholar] [CrossRef]
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- Cagnone, M.; Bardoni, A.; Iadarola, P.; Viglio, S. Could Proteomics Become a Future Useful Tool to Shed Light on the Mechanisms of Rare Neurodegenerative Disorders? High-Throughput 2018, 7, 2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kutikhin, A.G.; Sinitsky, M.Y.; Yuzhalin, A.E.; Velikanova, E.A. Whole-Transcriptome Sequencing: A Powerful Tool for Vascular Tissue Engineering and Endothelial Mechanobiology. High-Throughput 2018, 7, 5. [Google Scholar] [CrossRef] [Green Version]
- Pérez-Alonso, M.-M.; Carrasco-Loba, V.; Medina, J.; Vicente-Carbajosa, J.; Pollmann, S. When Transcriptomics and Metabolomics Work Hand in Hand: A Case Study Characterizing Plant CDF Transcription Factors. High-Throughput 2018, 7, 7. [Google Scholar] [CrossRef] [Green Version]
- Wu, C.; Zhou, F.; Ren, J.; Li, X.; Jiang, Y.; Ma, S. A Selective Review of Multi-Level Omics Data Integration Using Variable Selection. High-Throughput 2019, 8, 4. [Google Scholar] [CrossRef] [Green Version]
- Rappaport, S.M.; Törnqvist, M. Protein Adductomics: Methodologies for Untargeted Screening of Adducts to Serum Albumin and Hemoglobin in Human Blood Samples Henrik Carlsson. High-Throughput 2019, 8, 6. [Google Scholar] [CrossRef] [Green Version]
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MDPI and ACS Style
Iadarola, P.; Negrini, M. Change of Title: From High-Throughput to BioTech. BioTech 2020, 9, 18. https://doi.org/10.3390/biotech9040018
AMA Style
Iadarola P, Negrini M. Change of Title: From High-Throughput to BioTech. BioTech. 2020; 9(4):18. https://doi.org/10.3390/biotech9040018
Chicago/Turabian StyleIadarola, Paolo, and Massimo Negrini. 2020. "Change of Title: From High-Throughput to BioTech" BioTech 9, no. 4: 18. https://doi.org/10.3390/biotech9040018
APA StyleIadarola, P., & Negrini, M. (2020). Change of Title: From High-Throughput to BioTech. BioTech, 9(4), 18. https://doi.org/10.3390/biotech9040018
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