Biomedical subjects

Susan M Sell

Publications and source records attributed to Susan M Sell.

4 recordsLinked to original sources

PubMed2005

Personalized online information search and visualization.

BACKGROUND: The rapid growth of online publications such as the Medline and other sources raises the questions how to get the relevant information efficiently. It is important, for a bench scientist, e.g., to monitor related publications constantly. It is also important, for a clinician, e.g., to access the patient records anywhere and anytime. Although time-consuming, this kind of searching procedure is usually similar and simple. Likely, it involves a search engine and a visualization interface. Different words or combination reflects different research topics. The objective of this study is to automate this tedious procedure by recording those words/terms in a database and online sources, and use the information for an automated search and retrieval. The retrieved information will be available anytime and anywhere through a secure web server. RESULTS: We developed such a database that stored searching terms, journals and et al., and implement a piece of software for searching the medical subject heading-indexed sources such as the Medline and other online sources automatically. The returned information were stored locally, as is, on a server and visible through a Web-based interface. The search was performed daily or otherwise scheduled and the users logon to the website anytime without typing any words. The system has potentials to retrieve similarly from non-medical subject heading-indexed literature or a privileged information source such as a clinical information system. The issues such as security, presentation and visualization of the retrieved information were thus addressed. One of the presentation issues such as wireless access was also experimented. A user survey showed that the personalized online searches saved time and increased and relevancy. Handheld devices could also be used to access the stored information but less satisfactory. CONCLUSION: The Web-searching software or similar system has potential to be an efficient tool for both bench scientists and clinicians for their daily information needs.

Databases, Bibliographic↗

PubMed2005

Minimal interval defined on 7q in uterine leiomyoma.

Uterine leiomyomata are benign, smooth-muscle tumors. The tumors are very common, affecting approximately 10-15 million women in the United States annually. Uterine leiomyomata are often asymptomatic, but may cause symptoms that range in severity from mild abdominal discomfort to uterine prolapse. Several different chromosomal aberrations have been found in the tumor tissue. Because of the common occurrence of this tumor and the potential severity of associated sequelae, research delineating the different molecular subtypes is needed. Deletions on the long arm of chromosome 7 are believed to be the most common genetic anomaly in uterine leiomyoma. The size of the deletion varies, which makes it difficult to identify the genes that, upon deletion, contribute to tumor growth. The smallest previously defined interval was >12,000 kb. We have narrowed a minimal region to an interval of <500 kb.

Chromosomes, Human, Pair 7↗

PubMed2005

A tiered approach to comparative genomics.

Comparative genomics has emerged as a valuable tool for locating genes, transcription factor motifs and other putative control regions. There are, however, issues that keep comparative genomics from being a straightforward process. These caveats fall into three categories: database, computational and biological. In this review paper, these caveats will be discussed and illustrated using related case studies. The National Center for Biotechnology Information and University of California Santa Cruz genome databases were used, and VISTA, LAGAN and zPicture were used as comparison tools. Based on these caveats, a tiered approach to carrying out comparative genomic studies is presented.

Algorithms↗

PubMed2002

High circulating ghrelin: a potential cause for hyperphagia and obesity in prader-willi syndrome.

Prader-Willi syndrome (PWS) is a genetic disorder occurring in 1 of 10,000-16,000 live births and is characterized by excessive appetite with progressive massive obesity as well as short stature and mental retardation. Most patients have GH deficiency and hypogonadotropic hypogonadism. The causes of the hyperphagia and abnormal GH secretion are unknown. To determine whether ghrelin, a novel GH secretagogue with orexigenic properties, is elevated in PWS, we measured fasting plasma ghrelin concentration; body composition (dual-energy x-ray absorptiometry); and subjective ratings of hunger (visual analog scale) in seven subjects (6 males and 1 female; age, 26 +/- 7 yr; body fat, 39 +/- 11%, mean +/- SD) with PWS (diagnosis confirmed by genetic test) and 30 healthy subjects (reference population, 15 males and 15 females; age, 32 +/- 7 yr; body fat, 36 +/- 11%) fasted overnight. All subjects were weight stable for at least 6 months before admission to the study. The mean plasma ghrelin concentration was higher in PWS than in the reference population (307 +/- 164 vs. 109 +/- 24 fmol/ml; P < 0.001), and this difference remained significant after adjustment for percentage body fat (P < 0.001). Plasma ghrelin was also higher (P = 0.0004) in PWS than in five healthy subjects fasted for 36 h. A positive correlation was found between plasma ghrelin and subjective ratings of hunger (r = 0.71; P = 0.008). Furthermore, in subjects with PWS, the concentration of the hormone was not different before and after ingestion of 2 ml and a satiating amount of the same liquid meal (ghrelin concentrations: 307 +/- 164 vs. 306 +/- 205 vs. 260 +/- 134 fmol/ml, respectively; ANOVA for repeated measures, P = 0.56). This is the first evidence that ghrelin, a novel orexigenic hormone, is elevated in subjects with PWS. Our finding suggests that ghrelin may be responsible, at least in part, for the hyperphagia observed in PWS.

Adult↗