Biomedical subjects

Kimberly A Dittmar

Publications and source records attributed to Kimberly A Dittmar.

4 recordsLinked to original sources

PubMed2006

Tissue-specific differences in human transfer RNA expression.

Over 450 transfer RNA (tRNA) genes have been annotated in the human genome. Reliable quantitation of tRNA levels in human samples using microarray methods presents a technical challenge. We have developed a microarray method to quantify tRNAs based on a fluorescent dye-labeling technique. The first-generation tRNA microarray consists of 42 probes for nuclear encoded tRNAs and 21 probes for mitochondrial encoded tRNAs. These probes cover tRNAs for all 20 amino acids and 11 isoacceptor families. Using this array, we report that the amounts of tRNA within the total cellular RNA vary widely among eight different human tissues. The brain expresses higher overall levels of nuclear encoded tRNAs than every tissue examined but one and higher levels of mitochondrial encoded tRNAs than every tissue examined. We found tissue-specific differences in the expression of individual tRNA species, and tRNAs decoding amino acids with similar chemical properties exhibited coordinated expression in distinct tissue types. Relative tRNA abundance exhibits a statistically significant correlation to the codon usage of a collection of highly expressed, tissue-specific genes in a subset of tissues or tRNA isoacceptors. Our findings demonstrate the existence of tissue-specific expression of tRNA species that strongly implicates a role for tRNA heterogeneity in regulating translation and possibly additional processes in vertebrate organisms.

Animals↗

PubMed2005

Selective charging of tRNA isoacceptors induced by amino-acid starvation.

Aminoacylated (charged) transfer RNA isoacceptors read different messenger RNA codons for the same amino acid. The concentration of an isoacceptor and its charged fraction are principal determinants of the translation rate of its codons. A recent theoretical model predicts that amino-acid starvation results in 'selective charging' where the charging levels of some tRNA isoacceptors will be low and those of others will remain high. Here, we developed a microarray for the analysis of charged fractions of tRNAs and measured charging for all Escherichia coli tRNAs before and during leucine, threonine or arginine starvation. Before starvation, most tRNAs were fully charged. During starvation, the isoacceptors in the leucine, threonine or arginine families showed selective charging when cells were starved for their cognate amino acid, directly confirming the theoretical prediction. Codons read by isoacceptors that retain high charging can be used for efficient translation of genes that are essential during amino-acid starvation. Selective charging can explain anomalous patterns of codon usage in the genes for different families of proteins.

Amino Acids↗

PubMed2004

Exploring the regulation of tRNA distribution on the genomic scale.

Though up to 20% of the total RNA in bacterial cells is tRNA, the regulation of tRNA distribution on the genomic level remains unclear. tRNA distribution is governed by four processes: transcription, processing of precursor tRNA, degradation of precursor tRNA and degradation of mature tRNA. To elucidate the relationship between these processes in the regulation of tRNA production, the relative tRNA distribution was measured using a microarray specifically designed for tRNA. We developed a procedure that selectively labels 3'-CCA-containing RNAs with the fluorophores Cy3 or Cy5. The labeled tRNAs were then hybridized to microarrays printed with complementary DNA probes. The regulation of tRNA distribution in Bacillus subtilis was explored for a wild-type strain and a mutant strain with significantly decreased levels of RNase P, the enzyme required for the 5' maturation of all tRNA. The strains were either grown under a variety of conditions at doubling times ranging from 0.1 to 2.2 doublings per hour to investigate growth-related changes in the tRNA abundance or treated with the transcriptional inhibitor rifampicin to analyze mature tRNA degradation. Our results confirm that transcription and processing contribute significantly to the distribution of the 35 tRNA species in B.subtilis, and suggest a role for the degradation of precursor tRNA. Mature tRNA degradation occurs with little specificity for individual tRNA species and on the hour time-scale, indicating that degradation of mature tRNA plays only a minor role in the regulation of tRNA distribution. Aside from transcription, the final tRNA distribution appears to be derived from a balance between processing and precursor degradation activities.

Animals↗

PubMed2002

Molecular characterization of the mouse involuted thymus: aberrations in expression of transcription regulators in thymocyte and epithelial compartments.

Despite playing a critical role in the development of naive T cells, the thymus is involuted with age. Whether a single age-associated defect or multiple aberrations contribute to thymic involution remains controversial. Here, we determined molecular aberrations in the thymocyte and epithelium compartments of the aging thymus. We demonstrated that total thymocyte numbers declined with a stepwise kinetics; clear demarcations occurred at 1.5, 3, 12 and 22 months of age. By quantitative PCR, a 2.4-fold reduction in the copies of signal joint TCR-excised circle (sjTREC)/10(5) thymocytes was first detected at 3 months; no further reduction observed thereafter. Nevertheless, the combined reductions in thymocyte numbers and sjTREC/10(5) cells caused a 7-fold decrease in sjTREC/thymus by 3 months, 21-fold by 18 months and 72-fold by 22 months as compared to 1 month. We showed aberration in expression of E2A, a transcription regulator critical for TCR beta rearrangement. While E2A expression declined 3-fold by 3 months and 18-fold by 7 months, expression of LMO2, a negative regulator of E2A activities, increased 5-fold by 18 months. Interestingly, expression of pre-T alpha and its transcriptional regulator HEB were not reduced with age. Furthermore, keratin-8 expression, specific for cortical thymic epithelium, declined 3-fold by 7 months and remained stable thereafter. In contrast, Foxn1 expression was reduced 3-fold by 3 months, 16-fold by 12 months and 37-fold by 18 months. IL-7 expression was not reduced until 7 months and reached 15-fold reduction by 22 months. Thus, the data demonstrate that thymic involution results not from a single defect, but culminates from an array of molecular aberrations in both the developing thymocytes and thymic epithelials.

Adaptor Proteins, Signal Transducing↗