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Rouchka, E. C.

Publications and source records attributed to Rouchka, E. C..

3 recordsLinked to original sources

Elucidation of dose-dependent transcriptional events immediately following ionizing radiation exposure

Long duration space missions expose astronauts to ionizing radiation events associated with highly energetic and charged heavy particles. Such exposure can result in chromosomal aberrations increasing the likelihood of the development of cancer. Early detection and mitigation of these events is critical in providing positive outcomes. In order to aid in the development of portable devices used to measure radiation exposure, we constructed a genome-wide screen to detect transcriptional changes in peripheral blood lymphocytes shortly after (approximately 1 hour) radiation exposure at low (0.3 Gy), medium (1.5 Gy) and high (3.0 Gy) doses compared to control (0.0 Gy) using Affymetrix(R) Human Gene 1.0 ST v1 microarrays. Our results indicate a number of sensitive and specific transcriptional profiles induced by radiation exposure that can potentially be implemented as biomarkers for radiation exposure as well as dose effect. For overall immediate radiation exposure, KDELC1, MRPS30, RARS, and HEXIM1 were determined to be effective biomarkers while PRDM9, CHST4, and SLC26A10 were determined to be biomarkers specific to 0.3 Gy exposure; RPH, CCDC96, WDYHV1, and IFNA16 were identified for 1.5 Gy exposure; and CWC15, CHCHD7, and DNAAF2 were determined to be sensitive and specific to 3.0 Gy exposure. The resulting raw and analyzed data are publicly available through NCBI's Gene Expression Ominibus via accession GSE64375.

bioinformatics

Identification of putative G-quadruplex forming sequences in three manatee papillomaviruses

The Florida manatee (Trichechus manatus latirotris) is considered a threatened aquatic mammal in United States coastal waters. Over the past decade, the appearance of papillomavirus-induced lesions and viral papillomatosis in manatees has been a concern for those involved in the management and rehabilitation of this species. To date, three manatee papillomaviruses (PVs) have been identified in Florida manatees, one forming cutaneous lesions (TmPV1) and two forming genital lesions (TmPV3 and TmPV4). In this study, we identified DNA sequences with the potential to form G-quadruplex structures in all three PVs. G-quadruplex structures (G4) are guanine-rich nucleic acid sequences capable of forming secondary structures in DNA and RNA. In humans, G4 are known to regulate molecular processes such as transcription and translation. Although G4 have been identified in several viral genomes, including human PVs, no attempt has been made to identify G4 in animal PVs. We found that sequences capable of forming G4 were present on both DNA strands and across coding and non-coding regions on all PVs. The vast majority of the identified sequences would allow the formation of non-canonical structures with only two G-tetrads. The formation of one such structure was supported through biophysical analysis. Computational analysis demonstrated enrichment of G4 sequences on the reverse strand in the E2/E4 region on all manatee PVs and on the forward strand in the E2/E4 region on one genital PV. Several G4 sequences occurred at similar regional locations on all PVs, most notably on the reverse strand in the E2 region. In other cases, G4 were identified at similar regional locations only on PVs forming genital lesions. On all PVs, G4 sequences were located near putative E2 binding sites in the non-coding region. Together, these findings suggest that G4 are likely regulatory elements in manatee PVs.\n\nAuthor summaryG-quadruplex structures (G4) are found in the DNA and RNA of many species and are known to regulate the expression of genes and the synthesis of proteins, among other important molecular processes. Recently, these structures have been identified in several viruses, including the human papillomavirus (PV). As regulatory structures, G4 are of great interest to researchers as drug targets for viral control. In this paper, we identify the first G4 sequences in three PVs infecting a non-human animal, the Florida manatee. Through computational and biophysical analysis, we find that a greater variety of sequence patterns may underlie the formation of these structures than previously identified. The sequences are found in all protein coding regions of the virus and near sites for viral replication in non-coding regions. Furthermore, the distribution of these sequences across the PV genomes supports the notion that sequences are conserved across PV types, suggesting they are under selective pressure. This paper extends previous research on G4 in human PVs with additional evidence for their role as regulators. The G4 sequences we identified also provide potential regulatory targets for researchers interested in controlling this virus in the Florida manatee, a threatened aquatic mammal.

molecular biology

Framework For Reanalysis Of Publicly Available Affymetrix(R) Genechip(R) Data Sets Based On Functional Regions Of Interest

BackgroundSince the introduction of microarrays in 1995, researchers world-wide have used both commercial and custom-designed microarrays for understanding differential expression of transcribed genes. Public databases such as ArrayExpress and the Gene Expression Omnibus (GEO) have made millions of samples readily available. One main drawback to microarray data analysis involves the selection of probes to represent a specific transcript of interest, particularly in light of the fact that transcript-specific knowledge (notably alternative splicing) is dynamic in nature.\n\nResultsWe therefore developed a framework for reannotating and reassigning probe groups for Affymetrix(R) GeneChip(R) technology based on functional regions of interest. This framework addresses three issues of Affymetrix(R) GeneChip(R) data analyses: removing nonspecific probes, updating probe target mapping based on the latest genome knowledge and grouping probes into gene, transcript and region-based (UTR, individual exon, CDS) probe sets. Updated gene and transcript probe sets provide more specific analysis results based on current genomic and transcriptomic knowledge. The framework selects unique probes, aligns them to gene annotations and generates a custom Chip Description File (CDF). The analysis reveals only 87% of the Affymetrix(R) GeneChip(R) HG-U133 Plus 2 probes uniquely align to the current hg38 human assembly without mismatches. We also tested new mappings on the publicly available data series using rat and human data from GSE48611 and GSE72551 obtained from GEO, and illustrate that functional grouping allows for the subtle detection of regions of interest likely to have phenotypical consequences.\n\nConclusionThrough reanalysis of the publicly available data series GSE48611 and GSE72551, we profiled the contribution of UTR and CDS regions to the gene expression levels globally. The comparison between region and gene based results indicated that the detected expressed genes by gene-based and region-based CDFs show high consistency and regions based results allows us to detection of changes in transcript formation.

bioinformatics