Biomedical subjects

Dan Nicolae

Publications and source records attributed to Dan Nicolae.

4 recordsLinked to original sources

PubMed2003

Microarray analysis of changes in bone cell gene expression early after cadmium gavage in mice.

We developed an in vivo model for cadmium-induced bone loss in which mice excrete bone mineral in feces beginning 8 h after cadmium gavage. Female mice of three strains [CF1, MTN (metallothionein-wild-type), and MT1,2KO (MT1,2-deficient)] were placed on a low-calcium diet for 2 weeks. Each mouse was gavaged with 200 microg Cd or vehicle only. Fecal calcium was monitored daily for 9 days, beginning 4 days before cadmium gavage, to document the bone response. For CF1 mice, bones were taken from four groups: +/- Cd, 2 h after Cd and +/- Cd, 4 h after Cd. MTN and MT1,2KO strains had two groups each: +/-Cd, 4 h after Cd. PolyA+ RNA preparations from marrow-free shafts of femura and tibiae of each +/- Cd pair were submitted to Incyte Genomics for microarray analysis. Fecal Ca results showed that bone calcium excreted after cadmium differed for the three mouse strains: CF1, 0.24 +/- 0.08 mg; MTN, 0.92 +/- 0.22 mg; and MT1,2KO, 1.7 +/- 0.4 mg. Gene array results showed that nearly all arrayed genes were unaffected by cadmium. However, MT1 and MT2 had Cd+/Cd- expression ratios >1 in all four groups, while all ratios for MT3 were essentially 1, showing specificity. Both probes for MAPK 14 (p38 MAPK) had expression ratios >1, while no other MAPK responded to cadmium. Vacuolar proton pump ATPase and integrin alpha v (osteoclast genes), transferrin receptor, and src-like adaptor protein genes were stimulated by Cd; other src-related genes were unaffected. Genes for bone formation, stress response, growth factors, and signaling molecules showed little or no response to cadmium. Results support the hypothesis that Cd stimulates bone demineralization via a p38 MAPK pathway involving osteoclast activation.

Animals↗

PubMed2003

Evidence for gene-environment interactions in a linkage study of asthma and smoking exposure.

BACKGROUND: Asthma, a common and chronic disease of the airways, has a multifactorial cause involving both genetic and environmental factors. As a result, mapping genes that influence asthma susceptibility has been challenging. OBJECTIVE: This study tests the hypothesis that inclusion of exposure to environmental tobacco smoke (ETS), a potential risk factor for asthma, would improve the ability to map genes for asthma. METHODS: By using 144 white families from the Collaborative Study for the Genetics of Asthma, environmental information about exposure to ETS during infancy was incorporated into a genome-wide multipoint linkage analysis. Statistical significance of observed gene-environment interactions was assessed by means of simulation. RESULTS: Three regions with nominal evidence for linkage when stratified on the basis of ETS exposure were identified (P <.01) and showed a significant increase from the baseline lod score (1p at 97 cM, D1S1669-D1S1665; 5q at 135 cM, D5S1505-D5S816; and 9q at 106 cM, D9S910; all P <.05). In addition, 2 other regions, although not meeting nominal significance after stratification on the basis of ETS exposure, showed a significant increase from baseline lod score when ETS was taken into account (1q at 240 cM, D1S549; 17p at 3 cM, D17S1308; all P <.01). CONCLUSION: These results illustrate how evidence for linkage of asthma can depend on exposure to an environmental factor, such as ETS. Future linkage analyses should include information on suspected environmental factors for asthma to help target new candidate susceptibility genes for asthma.

Adult↗

PubMed2002

Rapid divergence in expression between duplicate genes inferred from microarray data.

For more than 30 years, expression divergence has been considered as a major reason for retaining duplicated genes in a genome, but how often and how fast duplicate genes diverge in expression has not been studied at the genomic level. Using yeast microarray data, we show that expression divergence between duplicate genes is significantly correlated with their synonymous divergence (K(S)) and also with their nonsynonymous divergence (K(A)) if K(A) </= 0.3. Thus, expression divergence increases with evolutionary time, and K(A) is initially coupled with expression divergence. More interestingly, a large proportion of duplicate genes have diverged quickly in expression and the vast majority of gene pairs eventually become divergent in expression. Indeed, more than 40% of gene pairs show expression divergence even when K(S) is </= 0.10, and this proportion becomes >80% for K(S) > 1.5. Only a small fraction of ancient gene pairs do not show expression divergence.

Evolution, Molecular↗

PubMed2002

Effects of sequence and structure on the hypermutability of immunoglobulin genes.

Somatic hypermutation (SHM) is investigated in related immunoglobulin transgenes that differ in a short artificial sequence designed to vary the content of hotspot motifs and the potential to form RNA or DNA secondary structures. Mutability depends on hotspots, not secondary structure. Hotspot motifs predict about 50% of the mutations; the rest are in neutral and coldspots. Clusters of mutations and the sequential addition of mutations found in cell pedigrees suggest epigenetic attributes of SHM. Sometime in SHM, an essential factor seems to become limiting. Particular error-prone DNA polymerases appear to create mutations in hotspots on the top and bottom DNA strands throughout the target and the SHM process. One transgene is superhypermutable in all regions, suggesting the presence of a cis-element that enhances SHM.

Animals↗