Search NASA⌕ Search

DOE OSTI · 1770530

Predicting Ionizing Radiation Exposure (LDRD Final Report)

Abstract

Rapid, low-cost, easy-to-use devices are needed for screening large populations potentially exposed to ionizing radiation following accidental or intentional release of radioactive materials. Measurements of radiation responsive messenger RNA (mRNA) biomarkers using fieldable devices could provide such a tool. mRNA expression level changes may be useful for discriminating between exposed individuals and the worried well and estimating the radiation dose received even days after exposure. Loop mediated isothermal amplification, or LAMP, is an established nucleic acid amplification technique that provides key advantages for use in low cost, portable instruments. We proposed to use LAMP to determine if the expression level of one or a small number of radiation responsive biomarkers can be used to discriminate unexposed cells from ionizing radiation (IR)-exposed cells. If successful, this methodology could potentially be transitioned to portable detection technology for use in population screening after large-scale events. Our approach involved designing quantitative, real-time, reverse transcriptase loop-mediated isothermal amplification (RTLAMP) assays for a panel of published IR-responsive mRNA biomarkers and control genes. This assay panel was then tested on mRNA isolated from white blood cells, lymphocyte cell lines and samples from internally dosed individuals. We used standard curves to quantify mRNA copy number along with the comparative Ct method to measure relative mRNA expression changes. We were able to generate quantitative and comparative gene expression changes for many of the samples evaluated. Although promising in its potential to measure gene expression, the technique suffered when attempting to amplify target genes with very low background RNA expression levels, in particular, FDXR in controls samples. Future work should focus on optimizing the RT-LAMP reaction for low RNA expression level targets allowing for the generation of validated assay panels.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Dugan, Lawrence C.. 2019-10-31. Predicting Ionizing Radiation Exposure (LDRD Final Report). https://doi.org/10.2172/1770530

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

Soil metagenomics umbrella narrative

Implementing accessible, authentic research experiences in introductory courses is challenging, particularly at institutions serving diverse student populations. To address this gap, we developed and deployed a Course-based Undergraduate Research Experience (CURE) focused on plant-microbe interactions in General Biology II at Northeastern Illinois University (NEIU), a minority-serving institution with a diverse student body. Students grew sugar beets (Beta vulgaris), extracted DNA from the rhizoplane, and used the Department of Energy Systems Biology Knowledgebase (KBase) for bioinformatic analysis to compare microbial relative abundance in fertilized versus unfertilized soil. Over five semesters, the CURE engaged 103 students and leveraged the intuitive KBase platform to make complex sequencing data accessible. Pre/post-course survey data revealed significant increases in student self-assessed research skills, including the ability to explain results and determine the types of data to collect. Furthermore, students reported significant gains in confidence related to experimental design and hypothesis development, alongside a strong increase in familiarity with KBase. Informal faculty feedback indicated high student engagement and appreciation for the real-world connections (e.g. food systems, agriculture, and health). This scalable, low-cost model effectively integrates data science tools into the foundational curriculum, demonstrating a potent strategy for boosting research skills and broadening participation in authentic scientific inquiry among diverse undergraduate students.

59 BASIC BIOLOGICAL SCIENCES↗

Genome-resolved insights into microbial diversity and elemental cycling in Winogradsky columns

We retained 18 MAGs with ≥50% completion and <10% contamination (i.e., at least medium quality). Of these, 10 had >90% completion and <5% contamination; however, only one (Paceibacteria Bin.003_MG) can be described as high-quality, as the others lacked a full suite of 5S, 16S, and 23S rRNA genes. To maximize the diversity of our recovered MAGs, we also retained one MAG (Chromatiaceae Bin.008_AM) with >40% (but less than 50%) completion and <5% contamination, as well as one (Rhodopseudomonas Bin.015_MK) with >90% completion and <20% (but>10%) contamination. Interestingly, significant chimerism was not detected in this MAG (40) , suggesting that the elevated contamination (20%) may instead reflect two closely related strains collapsing into a single bin. Consistent with this, contig coverage was bimodal, with roughly 17% of the assembly at ~115x and the remaining 83% at ~282x, while GC content remained uniform across both groups (~64%), arguing against contamination from a taxonomically distinct source.

59 BASIC BIOLOGICAL SCIENCES↗