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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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8 records
All sourcesNASA NTRSDOE OSTI
NASA NTRS2000

Changing genetic information through RNA editing

RNA editing, the post-transcriptional alteration of a gene-encoded sequence, is a widespread phenomenon in eukaryotes. As a consequence of RNA editing, functionally distinct proteins can be produced from a single gene. The molecular mechanisms involved include single or multiple base insertions or deletions as well as base substitutions. In mammals, one type of substitutional RNA editing, characterized by site-specific base-modification, was shown to modulate important physiological processes. The underlying reaction mechanism of substitutional RNA editing involves hydrolytic deamination of cytosine or adenosine bases to uracil or inosine, respectively. Protein factors have been characterized that are able to induce RNA editing in vitro. A supergene family of RNA-dependent deaminases has emerged with the recent addition of adenosine deaminases specific for tRNA. Here we review the developments that have substantially increased our understanding of base-modification RNA editing over the past few years, with an emphasis on mechanistic differences, evolutionary aspects and the first insights into the regulation of editing activity.

Review↗
NASA NTRSDate not supplied

Guanine Oxidation in the Genome, not RNA Editing, Accounts for Single Nucleotide Variation in the Exome of Mice Flown on Board the ISS

We have conducted a further analysis of single nucleotide variation (somatic mutation) in mice flown aboard the ISS. We used data archived in GeneLab from a cohort of 18-week-old mice were flown to the ISS, housed in the Rodent Habitat and therefore subjected to microgravity for 37 days. Mice of similar age, sex and the same strain were used for ground controls housed in identical hardware and simulating, but not matching ISS environmental conditions (temperature, humidity and gas atmosphere). Primary data consists of next generation RNA sequencing for the tissues examined: eye, liver, skeletal muscle and kidney. We used novel software, developed at NASA Ames Research Center and deployed on the NASA Ames Supercomputer, to perform variant calling for single point mutations. Unexpectedly, we discovered a high degree of somatic mutation in ISS-flown mice, compared to controls. We found that the extent of somatic mutation correlated with the degree of gene expression in the four tissue types, with the highest degree of somatic mutation observed in genes with the highest degree of expression. Careful analysis that included measurement of specific nucleotide changes that occurred demonstrated that guanine substitutions were the most frequent, consistent with the hypothesis that reactive oxygen species-mediated guanine oxidation was responsible for the hypermutation events. By contrast, adenine substitutions would be expected if gene editing were responsible for the somatic mutation. These types of substitutions were much less frequent. The implication of these findings for astronaut health in a variety of mission scenarios will be discussed.

International Space Station↗
NASA NTRS1999

Left-handed Z-DNA: structure and function

Z-DNA is a high energy conformer of B-DNA that forms in vivo during transcription as a result of torsional strain generated by a moving polymerase. An understanding of the biological role of Z-DNA has advanced with the discovery that the RNA editing enzyme double-stranded RNA adenosine deaminase type I (ADAR1) has motifs specific for the Z-DNA conformation. Editing by ADAR1 requires a double-stranded RNA substrate. In the cases known, the substrate is formed by folding an intron back onto the exon that is targeted for modification. The use of introns to direct processing of exons requires that editing occurs before splicing. Recognition of Z-DNA by ADAR1 may allow editing of nascent transcripts to be initiated immediately after transcription, ensuring that editing and splicing are performed in the correct sequence. Structural characterization of the Z-DNA binding domain indicates that it belongs to the winged helix-turn-helix class of proteins and is similar to the globular domain of histone-H5.

Review↗
NASA NTRS1995

Editing for an AMPA receptor subunit RNA in prefrontal cortex and striatum in Alzheimer's disease, Huntington's disease and schizophrenia

Animal studies and cell culture experiments demonstrated that posttranscriptional editing of the transcript of the GluR-2 gene, resulting in substitution of an arginine for glutamine in the second transmembrane region (TM II) of the expressed protein, is associated with a reduction in Ca2+ permeability of the receptor channel. Thus, disturbances in GluR-2 RNA editing with alteration of intracellular Ca2+ homeostasis could lead to neuronal dysfunction and even neuronal degeneration. The present study determined the proportions of edited and unedited GluR-2 RNA in the prefrontal cortex of brains from patients with Alzheimer's disease, in the striatum of brains from patients with Huntington's disease, and in the same areas of brains from age-matched schizophrenics and controls, by using reverse transcriptase-polymerase chain reaction, restriction endonuclease digestion, gel electrophoresis and scintillation radiometry. In the prefrontal cortex of controls, < 0.1% of all GluR-2 RNA molecules were unedited and > 99.9% were edited; in the prefrontal cortex both of schizophrenics and of Alzheimer's patients approximately 1.0% of all GluR-2 RNA molecules were unedited and 99% were edited. In the striatum of controls and of schizophrenics, approximately 0.5% of GluR-2 RNA molecules were unedited and 99.5% were edited; in the striatum of Huntington's patients nearly 5.0% of GluR-2 RNA was unedited. In the prefrontal white matter of controls, approximately 7.0% of GluR-2 RNA was unedited. In the normal human prefrontal cortex and striatum, the large majority of GluR-2 RNA molecules contains a CGG codon for arginine in the TMII coding region; this implies that the corresponding AMPA receptors have a low Ca2+ permeability, as previously demonstrated for the rat brain. The process of GluR-2 RNA editing is compromised in a region-specific manner in schizophrenia, in Alzheimer's disease and Huntington's Chorea although in each of these disorders there is still a large excess of edited GluR-2 RNA molecules. Disturbances of GluR-2 RNA editing leading to excessive Ca2+ permeability, may contribute to neuronal dysfunction in schizophrenia and to neuronal death in Alzheimer's disease and Huntington's disease.

NASA Discipline Neuroscience↗
NASA NTRS1999

Proteolytic dissection of Zab, the Z-DNA-binding domain of human ADAR1

Zalpha is a peptide motif that binds to Z-DNA with high affinity. This motif binds to alternating dC-dG sequences stabilized in the Z-conformation by means of bromination or supercoiling, but not to B-DNA. Zalpha is part of the N-terminal region of double-stranded RNA adenosine deaminase (ADAR1), a candidate enzyme for nuclear pre-mRNA editing in mammals. Zalpha is conserved in ADAR1 from many species; in each case, there is a second similar motif, Zbeta, separated from Zalpha by a more divergent linker. To investigate the structure-function relationship of Zalpha, its domain structure was studied by limited proteolysis. Proteolytic profiles indicated that Zalpha is part of a domain, Zab, of 229 amino acids (residues 133-361 in human ADAR1). This domain contains both Zalpha and Zbeta as well as a tandem repeat of a 49-amino acid linker module. Prolonged proteolysis revealed a minimal core domain of 77 amino acids (positions 133-209), containing only Zalpha, which is sufficient to bind left-handed Z-DNA; however, the substrate binding is strikingly different from that of Zab. The second motif, Zbeta, retains its structural integrity only in the context of Zab and does not bind Z-DNA as a separate entity. These results suggest that Zalpha and Zbeta act as a single bipartite domain. In the presence of substrate DNA, Zab becomes more resistant to proteases, suggesting that it adopts a more rigid structure when bound to its substrate, possibly with conformational changes in parts of the protein.

Non-NASA Center↗
NASA NTRS1997

Non-standard amino acid recognition by Escherichia coli leucyl-tRNA synthetase

Recombinant E. coli leucyl-tRNA synthetase was screened for amino acid-dependent pyrophosphate exchange activity using noncognate aliphatic amino acids including norvaline, homocysteine, norleucine, methionine, and homoserine. [32P]-labeled reaction products were separated by thin layer chromatography using a novel solvent system and then quantified by phosphorimaging. Norvaline which differs from leucine by only one methyl group stimulated pyrophosphate exchange activity as did both homocysteine and norleucine to a lesser extent. The KM parameters for leucine and norvaline were measured to be 10 micromoles and 1.5 mM, respectively. Experiments are in progress to determine if norvaline is transferred to tRNA(Leu) and/or edited by a pre- or post-transfer mechanism.

Non-NASA Center↗
NASA NTRS2015

CRISPR/Cas9-Assisted Transformation-Efficient Reaction (CRATER) for Near-Perfect Selective Transformation

The CRISPR (Clustered, Regularly Interspaced, Short Palindromic Repeats)/Cas9 system has revolutionized genome editing by providing unprecedented DNA-targeting specificity. Here we demonstrate that this system can be also applied in vitro to fundamental cloning steps to facilitate efficient plasmid selection for transformation and selective gene insertion into plasmid vectors by cleaving unwanted plasmid byproducts with a single-guide RNA (sgRNA)-Cas9 nuclease complex. Using fluorescent and chromogenic proteins as reporters, we demonstrate that CRISPR/Cas9 cleavage excludes multiple plasmids as well as unwanted ligation byproducts resulting in an unprecedented increase in the transformation success rate from approximately 20% to nearly 100%. Thus, this CRISPR/Cas9-Assisted Transformation-Efficient Reaction (CRATER) protocol is a novel, inexpensive, and convenient application to conventional molecular cloning to achieve near-perfect selective transformation.

molecular cloning↗
NASA NTRSDate not supplied

GL4U: GeneLab for Colleges and Universities

GeneLab for Colleges and Universities (GL4U) will provide space biology-relevant training in bioinformatics to the next generation of scientists through direct and indirect approaches. The GeneLab (GL) team will host two annual data processing bootcamps, one for college-level students (direct) and one for college educators (indirect – Training of Trainers), in which participants learn to analyze space-relevant omics data hosted on GL. The first bootcamp took place in early June 2021 with about 30 SJSU undergraduate students and covered space biology-specific lectures and hands-on instruction using Jupyter Notebooks (JNs) for RNA sequence (RNAseq) data analysis. All training materials including the enclosed files listed below will be made publicly available on GitHub. RNAseq Bootcamp Lectures (attached in combined file): Introduction to NASA, Space Biology, GeneLab, and the Command Line: NASA_GL_CL_Intro_FINAL.pdf - DRAFT from initial submission NASA_SB_GL_CL_Intro_FULL.pdf - FINAL version presented during the bootcamp - only minor edits from the draft version RNAseq and Data Processing Overview: RNAseq_Overview_FINAL.pdf - DRAFT from initial submission RNAseq_Overview_FULL.pdf - FINAL version presented during the bootcamp - only minor edits from the draft version Overview of the Statistics Used for RNAseq Data Analysis: SJSU_Statistics_Intro_Lecture_FINAL.pdf - DRAFT from initial submission Statistics_Overview_FULL.pdf - FINAL version presented during the bootcamp - only minor edits from the draft version Completed JNs in HTML format (attached in combined file): Unix_Intro_JN_06-2021_completed.html R_Intro_JN_06-2021_completed.html RNAseq_fastq_to_counts_JN_06-2021_completed.html RNAseq_DGE_JN_06-2021_completed.html RNAseq Bootcamp Recordings (attached): GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day1_Part_1_of_5.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day1_Part_2_of_5.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day1_Part_3_of_5.mp4 *There were issues with the part 4 recording so that is not available GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day1_Part_5_of_5.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day2_Part_1_of_3.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day2_Part_2_of_3.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day2_Part_3_of_3.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day3_Part_1_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day3_Part_2_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day3_Part_3_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day3_Part_4_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day4_Part_1_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day4_Part_2_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day4_Part_3_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day4_Part_4_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day5_Part_1_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day5_Part_2_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day5_Part_3_of_4.mp4 GL4U_RNAseq_Bootcamp_June_2021_Pilot_Day5_Part_4_of_4.mp4

GeneLab↗