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Volume 1, September
 
 

Microarrays, Volume 1, Issue 1 (June 2012) – 5 articles , Pages 1-63

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Editorial

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156 KiB  
Editorial
The Journal Microarrays
by Shu-Kun Lin
Microarrays 2012, 1(1), 1-2; https://doi.org/10.3390/microarrays1010001 - 14 Oct 2011
Viewed by 4664
Abstract
Our publishing company MDPI AG has its headquarters in Basel, Switzerland where there are thousands of scientists working in the laboratories of pharmaceutical companies and institutes including Novartis [1], F. Hoffmann-La Roche [2] and institutes affiliated with University of Basel [3]. In 1996, [...] Read more.
Our publishing company MDPI AG has its headquarters in Basel, Switzerland where there are thousands of scientists working in the laboratories of pharmaceutical companies and institutes including Novartis [1], F. Hoffmann-La Roche [2] and institutes affiliated with University of Basel [3]. In 1996, the first annual microplate conference MipTec was held in Basel, and the MipTec 2011 was held a few days ago in Basel [4]. I published a paper on microplate standardization presented at MipTec 1996 in MDPI’s longest-running journal Molecules [5-7]. [....] Full article
122 KiB  
Editorial
Microarrays—Current and Future Applications in Biomedical Research
by Ulrich Certa
Microarrays 2012, 1(1), 42-43; https://doi.org/10.3390/microarrays1010042 - 22 Nov 2011
Viewed by 5273
Abstract
Microarrays covers research where microarrays are applied to address complex biological questions. This new open access journal publishes articles where novel applications or state-of-the art technology developments in the field are reported. In addition, novel methods or data analysis algorithms are under the [...] Read more.
Microarrays covers research where microarrays are applied to address complex biological questions. This new open access journal publishes articles where novel applications or state-of-the art technology developments in the field are reported. In addition, novel methods or data analysis algorithms are under the scope of Microarrays. This journal will serve as a platform for fast and efficient sharing of data within this large user community. As one of the first microarray users in Europe back in 1996, I am proud to serve as Editor-in-Chief and I believe we have assembled a highly proficient Editorial Board, responsible for a fair and fast peer-review of articles. [...] Full article

Research

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252 KiB  
Article
A Transcriptome—Targeting EcoChip for Assessing Functional Mycodiversity
by Derek Peršoh, Alfons R. Weig and Gerhard Rambold
Microarrays 2012, 1(1), 25-41; https://doi.org/10.3390/microarrays1010025 - 31 Oct 2011
Cited by 9 | Viewed by 7941
Abstract
A functional biodiversity microarray (EcoChip) prototype has been developed to facilitate the analysis of fungal communities in environmental samples with broad functional and phylogenetic coverage and to enable the incorporation of nucleic acid sequence data as they become available from large-scale (next generation) [...] Read more.
A functional biodiversity microarray (EcoChip) prototype has been developed to facilitate the analysis of fungal communities in environmental samples with broad functional and phylogenetic coverage and to enable the incorporation of nucleic acid sequence data as they become available from large-scale (next generation) sequencing projects. A dual probe set (DPS) was designed to detect a) functional enzyme transcripts at conserved protein sites and b) phylogenetic barcoding transcripts at ITS regions present in precursor rRNA. Deviating from the concept of GeoChip-type microarrays, the presented EcoChip microarray phylogenetic information was obtained using a dedicated set of barcoding microarray probes, whereas functional gene expression was analyzed by conserved domain-specific probes. By unlinking these two target groups, the shortage of broad sequence information of functional enzyme-coding genes in environmental communities became less important. The novel EcoChip microarray could be successfully applied to identify specific degradation activities in environmental samples at considerably high phylogenetic resolution. Reproducible and unbiased microarray signals could be obtained with chemically labeled total RNA preparations, thus avoiding the use of enzymatic labeling steps. ITS precursor rRNA was detected for the first time in a microarray experiment, which confirms the applicability of the EcoChip concept to selectively quantify the transcriptionally active part of fungal communities at high phylogenetic resolution. In addition, the chosen microarray platform facilitates the conducting of experiments with high sample throughput in almost any molecular biology laboratory. Full article
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295 KiB  
Article
In Silico Analysis of Microarray-Based Gene Expression Profiles Predicts Tumor Cell Response to Withanolides
by Thomas Efferth and Henry Johannes Greten
Microarrays 2012, 1(1), 44-63; https://doi.org/10.3390/microarrays1010044 - 22 May 2012
Viewed by 7643
Abstract
Withania somnifera (L.) Dunal (Indian ginseng, winter cherry, Solanaceae) is widely used in traditional medicine. Roots are either chewed or used to prepare beverages (aqueous decocts). The major secondary metabolites of Withania somnifera are the withanolides, which are C-28-steroidal lactone triterpenoids. Withania somnifera [...] Read more.
Withania somnifera (L.) Dunal (Indian ginseng, winter cherry, Solanaceae) is widely used in traditional medicine. Roots are either chewed or used to prepare beverages (aqueous decocts). The major secondary metabolites of Withania somnifera are the withanolides, which are C-28-steroidal lactone triterpenoids. Withania somnifera extracts exert chemopreventive and anticancer activities in vitro and in vivo. The aims of the present in silico study were, firstly, to investigate whether tumor cells develop cross-resistance between standard anticancer drugs and withanolides and, secondly, to elucidate the molecular determinants of sensitivity and resistance of tumor cells towards withanolides. Using IC50 concentrations of eight different withanolides (withaferin A, withaferin A diacetate, 3-azerininylwithaferin A, withafastuosin D diacetate, 4-B-hydroxy-withanolide E, isowithanololide E, withafastuosin E, and withaperuvin) and 19 established anticancer drugs, we analyzed the cross-resistance profile of 60 tumor cell lines. The cell lines revealed cross-resistance between the eight withanolides. Consistent cross-resistance between withanolides and nitrosoureas (carmustin, lomustin, and semimustin) was also observed. Then, we performed transcriptomic microarray-based COMPARE and hierarchical cluster analyses of mRNA expression to identify mRNA expression profiles predicting sensitivity or resistance towards withanolides. Genes from diverse functional groups were significantly associated with response of tumor cells to withaferin A diacetate, e.g. genes functioning in DNA damage and repair, stress response, cell growth regulation, extracellular matrix components, cell adhesion and cell migration, constituents of the ribosome, cytoskeletal organization and regulation, signal transduction, transcription factors, and others. Full article
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Review

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433 KiB  
Review
Microbial Diagnostic Microarrays for the Detection and Typing of Food- and Water-Borne (Bacterial) Pathogens
by Tanja Kostić and Angela Sessitsch
Microarrays 2012, 1(1), 3-24; https://doi.org/10.3390/microarrays1010003 - 14 Oct 2011
Cited by 9 | Viewed by 7192
Abstract
Reliable and sensitive pathogen detection in clinical and environmental (including food and water) samples is of greatest importance for public health. Standard microbiological methods have several limitations and improved alternatives are needed. Most important requirements for reliable analysis include: (i) specificity; (ii) sensitivity; [...] Read more.
Reliable and sensitive pathogen detection in clinical and environmental (including food and water) samples is of greatest importance for public health. Standard microbiological methods have several limitations and improved alternatives are needed. Most important requirements for reliable analysis include: (i) specificity; (ii) sensitivity; (iii) multiplexing potential; (iv) robustness; (v) speed; (vi) automation potential; and (vii) low cost. Microarray technology can, through its very nature, fulfill many of these requirements directly and the remaining challenges have been tackled. In this review, we attempt to compare performance characteristics of the microbial diagnostic microarrays developed for the detection and typing of food and water pathogens, and discuss limitations, points still to be addressed and issues specific for the analysis of food, water and environmental samples. Full article
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