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D Butler

Publications and source records attributed to D Butler.

At least 73 records · Page 4Linked to original sources
PubMed2000

Deletion of the FHIT gene in neoplastic and invasive cervical lesions is related to high-risk HPV infection but is independent of histopathological features.

The fragile histidine triad (FHIT) gene encompasses the common chromosomal fragile site FRA3B. Human papilloma virus (HPV), which is the main aetiological agent in cervical cancers, has been found to be able to integrate its genes into the chromosome 3 fragile site of cultured cells, deleting a piece of DNA which includes the FHIT gene. Eighty-six microdissected archival cervical LLETZ biopsies comprising cases of cervical intraepithelial neoplasia (CIN) 1 (n=27), CIN3 (n=30) and microinvasive carcinoma (n=29) were evaluated for HPV infection and FHIT gene loss of heterozygosity (LOH). FHIT gene LOH was detected by polymerase chain reaction (PCR) using fluorescently labelled intragenic microsatellite markers D3S1300 and D3S4103. PCR products were analysed on a semi-automated DNA sequencer using Fragment Manager(trade mark) software to determine allele loss. The HPV status of the lesions was determined by PCR using generic and type-specific primers in conjunction with restriction endonuclease digestion. The results were analysed using Epi-Info and SPSS-PC statistical analysis software. Haematoxylin and eosin-stained sections from the 86 cases were profiled for six histopathological features, some of which have been previously shown to be associated with microinvasive cancer. FHIT gene LOH was found in 36% of CIN1 cases, 52% of CIN3 cases and 73% of microinvasive cases (p=0.029). HPV 16 DNA was found in 68% of CIN3 cases and 93% of microinvasive cases (p<0.001). The second most prevalent HPV type found was HPV 31, which was present in only four lesions, three of which had FHIT gene LOH. When FHIT gene LOH was evaluated versus HPV 16 and 31 infection using the chi-square test, a statistically significant relationship was found (p=0.014). FHIT gene LOH was found to be independent of the histopathological features evaluated. The finding of a statistically significant relationship between FHIT gene LOH and oncogenic HPV infection suggests a link between the integration of viral DNA and subsequent gene deletion in the progression of cervical cancer. FHIT gene anomalies may prove to be excellent markers of progression in early uterine cervical cancers.

Acid Anhydride Hydrolases↗
PubMed2000

Patterning of olfactory sensory connections is mediated by extracellular matrix proteins in the nerve layer of the olfactory bulb.

In early rat embryos when axons from sensory neurons first contact the olfactory bulb primordium, lactosamine-containing glycans (LCG) are detected on neurons that are broadly distributed within the olfactory epithelium, but that project axons to a very restricted region of the ventromedial olfactory bulb. LCG(+) axons extend through channels defined by the coexpression of galectin-1 and beta2-laminin. These two extracellular matrix molecules are differentially expressed, along with semaphorin 3A, by subsets of ensheathing cells in the ventral nerve layer of the olfactory bulb. The overlapping expression of these molecules creates an axon-sorting domain that is capable of promoting and repelling subsets of olfactory axons. Specifically, LCG(+) axons preferentially grow into the region of the nerve layer that expresses high amounts of galectin-1, beta2-laminin, and semaphorin 3A, whereas neuropilin-1(+) axons grow in a complementary pattern, avoiding the ventral nerve layer and projecting medially and laterally. These studies suggest that initial patterning of olfactory epithelium to olfactory bulb connections is, in part, dependent on extracellular components of the embryonic nerve layer that mediate convergence and divergence of specific axon subsets.

Age Factors↗
PubMed2000

Expression of CD44 in uterine cervical squamous neoplasia: a predictor of microinvasion?

OBJECTIVE: CD44, an integral membrane glycoprotein, may have an important role in early tumorigenesis, specifically, facilitating early tumor progression. Reports of the expression of CD44 in early uterine cervical squamous carcinogenesis are conflicting. We examined the expression of CD44 in microinvasive carcinoma of the cervix (MIC), as yet unreported, and compared it to that in cervical intraepithelial neoplasia (CIN) 1 and CIN 3 to further elucidate its role in early squamous carcinogenesis. METHODS: Seventeen cases of CIN 1, 24 cases of CIN 3, and 20 cases of MIC were stained with antibodies to CD44s, CD44v5, and CD44v6. Only membranous staining was considered positive. RESULTS: Positive membranous staining (>50% cells) was observed in 97% of cases of CIN 1 using all three antibodies. In CIN 3, positive staining was seen more often with CD44v6 (18/24) and CD44v5 (19/24) than with CD44s (6/24). Expression of CD44v6 was retained more often in MIC (16/20) compared with CD44s (3/20) and CD44v5 (9/20). Those cases of CIN 3 and MIC that failed to meet our criteria for positive staining showed either heterogeneous or absent staining. CONCLUSION: There is a qualitative and quantitative reduction in expression of CD44 in MIC and CIN 3 compared with CIN 1. Down-regulation of CD44 variants may occur later in neoplastic progression than CD44s. This pattern may reflect their important biological function in early progression by cervical cancer cells. Patchy and heterogeneous staining in more advanced lesions limits the usefulness of CD44 and its variants in the assessment of microinvasion.

Adult↗
PubMed1999

Computing 2010: from black holes to biology.

By 2010, a click on the PC on your desktop will suffice to call up instantly all the computing power you need from what by then will be the world's largest supercomputer, the Internet itself. Supercomputing for the masses will trigger a revolution in the complexity of problems that are tackled, whole disciplines will go digital and, rather than spending time collecting their own data, scientists will organize themselves around shared data sets.

Computers↗