An integrated computational and laboratory approach for selective amplification of mRNAs containing the adenylate uridylate-rich element consensus sequence

Scaling up DNA digital data storage by efficiently predicting DNA hybridisation using deep learning

Deoxyribonucleic acid (DNA) has shown great promise in enabling computational applications, most notably in the fields of DNA digital data storage and DNA computing. Information is encoded as DNA strands, which will naturally bind in solution, thus enabling search and pattern-matching capabilities. Being able to control and predict the process of DNA hybridisation is crucial for the ambitious future of Hybrid Molecular-Electronic Computing. Current tools are, however, limited in terms of throughput and applicability to large-scale problems. We present the first comprehensive study of machine learning methods applied to the task of predicting DNA hybridisation. For this purpose, we introduce an in silico-generated hybridisation dataset of over 2.5 million data points, enabling the use of deep learning. Depending on hardware, we achieve a reduction in inference time ranging from one to over two orders of magnitude compared to the state-of-the-art, while retaining high fidelity. We then discuss the integration of our methods in modern, scalable workflows.

Mining of simple sequence repeats in the Genome of Gentianaceae

Simple sequence repeats (SSRs) or short tandem repeats are short repeat motifs that show high level of length polymorphism due to insertion or deletion mutations of one or more repeat types. Here, we present the detection and abundance of microsatellites or SSRs in nucleotide sequences of Gentianaceae family. A total of 545 SSRs were mined in 4698 nucleotide sequences downloaded from the National Center for Biotechnology Information (NCBI). Among the SSR sequences, the frequency of repeat type was about 429 -mono repeats, 99 -di repeats, 15 -tri repeats, and 2 --hexa repeats. Mononucleotide repeats were found to be abundant repeat types, about 78%, followed by dinucleotide repeats (18.16%) among the SSR sequences. An attempt was made to design primer pairs for 545 identified SSRs but these were found only for 169 sequences.

Recent developments in primer design for DNA polymorphism and mRNA profiling in higher plants

Primer design is a critical step in the application of PCR-based technologies in gene expression and genetic diversity analysis. As more plant genomes have been sequenced in recent years, the emphasis of primer design strategy has shifted to genome-wide and high-throughput direction. This paper summarizes recent advances in primer design for profiling of DNA polymorphism and mRNA in higher plants, as well as new primer systems developed for animals that can be adapted for plants.

AU-rich transient response transcripts in the human genome: expressed sequence tag clustering and gene discovery approach

Transient response genes regulate critical biological responses that include cell proliferation, signal transduction events, and responses to exogenous agents such as inflammatory stimuli, microbes, and radiation. An important feature that ensures a timely response is the short half-life of the messenger RNA (mRNA), which is thought to be predominantly mediated by adenylate uridylate-rich sequence elements (AREs) in the 3' untranslated region (3' UTR). The repertoire and extent of transient response genes in the human genome are not known. We used a computational approach to delineate those genes that code for transient ARE mRNAs. We utilized a 3' UTR-specific ARE motif to retrieve and cluster 3'-end ESTs using a refined extraction protocol. With the availability of the entire human genome, we were able to utilize ARE EST clusters for further mining and computational prediction of ARE genes. The described approaches led to the finding of more than 1500 ARE genes in the human genome. In particular, "hidden" ARE mRNAs and alternative forms due to 3'UTR completeness, variant polyadenylation, and splicing were uncovered.

Selection of AU-rich transiently expressed sequences: reversal of cDNA abundance

Study of early and transient response gene expression is important for understanding the mechanisms of response to growth stimuli and exogenous agents such as microbes, stress, and radiation. Many of the cytokines, proto-oncogenes, and other transiently expressed gene products are encoded by mRNAs that contain AU-rich elements (AREs) in their 3' untranslated regions (UTRs). In this article, we describe an approach to selectively synthesize ARE-containing cDNA (ARE-cDNA) using an innovative combination of culture treatment, thermostabilization of reverse transcriptase (RT) by the disaccharide trehalose, and use of optimized ARE-specific oligomers. The monocytic cell line, THP-1, was treated with cycloheximide and endotoxin to enrich for ARE-mediated gene expression followed by the RT procedure. Selection of ARE-cDNA with simultaneous suppression of abundant cDNA was made possible using the procedure as monitored by the preferential expression of IL-8, an ARE-cDNA molecule, over the abundant housekeeping cDNA, beta-actin. The use of trehalose dramatically reversed cDNA abundance, resulting in almost complete suppression of housekeeping cDNA. Finally, construction of specialized ARE-cDNA libraries confirmed the selectivity of ARE-cDNAs and the presence of rare genes. The ability to reverse the abundance of housekeeping and other highly expressed genes toward ARE genes facilitates the discovery and study of rare early response and transiently expressed genes.

ARED 2.0: an update of AU-rich element mRNA database

The Adenylate Uridylate (AU)-Rich Element Database, ARED-mRNA version 2.0, contains information not present in the previous ARED. This includes additional data entries, new information and links to Unigene, LocusLink, RefSeq records and mouse homologue data. An ARE consensus sequence specific to the 3'UTR is the basis of ARED that demonstrated two important findings: (i) AREs are present in a large, previously unrecognized set of human mRNAs; and (ii) ARE-mRNAs encode proteins of diverse functions which are largely involved in early and transient biological responses. In this update, we have modified the strategy for identifying ARE-mRNA in order to systematically deal with inconsistencies of molecule type and mRNA region in GenBank records. Potential uses for the ARED in functional genomics are also given. The database is accessible via the web, http://rc.kfshrc.edu.sa/ared, with a new querying system that allows searching ARE-mRNAs by any public database identifier or name. The ARED website also contains relevant links to uses for the ARED.