Biomedical subjects

G Charles Ostermeier

Publications and source records attributed to G Charles Ostermeier.

7 recordsLinked to original sources

PubMed2003

Nuclear matrix association of the human beta-globin locus utilizing a novel approach to quantitative real-time PCR.

The human beta-globin locus is home to five genes that are regulated in a tissue-specific and developmental stage-specific manner. While the exact mode of expression remains somewhat enigmatic, a significant effort has been focused at the locus control region (LCR). The LCR is marked by five DNase I-hypersensitive sites (HS) approximately 15 kb upstream of the epsilon-globin gene. Nuclear matrix-associated regions (MARs) organize chromatin into functional domains and at least one of the HS appears bound to the nuclear matrix. We have employed an in vivo based PCR MAR assay to investigate the role of MAR-mediated regulation of the beta-globin locus. This was facilitated with a novel reaction efficiency based quantitative real-time PCR analysis software tool, Target Analysis Quantification. Using a log-linear regression strategy, discordances were eliminated. This allowed us to reliably estimate the relative amount of initial template associated with the nuclear matrix at 15 unique regions spanning the beta-globin locus in both non-expressing and expressing cell lines. A dynamic association dependent on expression status was revealed both at the LCR/5'HS region and within the second intron of the beta-globin gene. These results provide the first evidence that nuclear matrix association dynamically mediates the looping of the beta-globin locus to achieve transcriptional control.

Cell Line↗

PubMed2003

Global functional profiling of gene expression.

The typical result of a microarray experiment is a list of tens or hundreds of genes found to be differentially regulated in the condition under study. Independent of the methods used to select these genes, the common task faced by any researcher is to translate these lists of genes into a better understanding of the biological phenomena involved. Currently, this is done through a tedious combination of searches through the literature and a number of public databases. We developed Onto-Express (OE) as a novel tool able to automatically translate such lists of differentially regulated genes into functional profiles characterizing the impact of the condition studied. OE constructs functional profiles (using Gene Ontology terms) for the following categories: biochemical function, biological process, cellular role, cellular component, molecular function, and chromosome location. Statistical significance values are calculated for each category. We demonstrate the validity and the utility of this comprehensive global analysis of gene function by analyzing two breast cancer datasets from two separate laboratories. OE was able to identify correctly all biological processes postulated by the original authors, as well as discover novel relevant mechanisms.

Breast Neoplasms↗

PubMed2003

Multitasking with molecular dynamics Typhoon: quantifying nucleic acids and autoradiographs.

With increased sensitivity and specificity, fluorescent assays are rapidly becoming the method of choice for nucleic acid quantification. The utility of the Typhoon scanner has now been extended to accurately measure low levels of DNA and RNA (5 ng ml(-1)) with PicoGreen and RiboGreen dyes. In addition, with a few simple modifications, autoradiographic film images can be scanned and quantified with the Typhoon series of scanners.

Autoradiography↗

PubMed2002

Spermatozoal RNA profiles of normal fertile men.

BACKGROUND: Findings from several studies support the conclusion that spermatozoa contain a complex repertoire of mRNAs. Even though these mRNAs are thought to provide an insight into past events of spermatogenesis, their complexity and function have yet to be established. Our aim was to determine whether we could use spermatozoal mRNAs to generate a genetic fingerprint of normal fertile men. METHODS: We used a suite of microarrays containing 27016 unique expressed sequence tags (ESTs) to investigate cDNAs from a pool of 19 testes, cDNAs from a pool of nine individual ejaculate spermatozoal mRNAs, and cDNAs constructed from spermatozoal mRNAs from a single ejaculate. We also used ontological data mining to determine the function of the genes identified in each EST profile. FINDINGS: The cDNAs from the testes, pooled ejaculate, and single ejaculate hybridised to 7157, 3281, and 2780 ESTs, respectively. The testicular population contained all of the ESTs identified by the cDNAs from the pooled and individual ejaculate. The pooled ejaculate population contained all but four ESTs identified from the individual ejaculate. A subset of the spermatozoal mRNAs was associated with embryo development. INTERPRETATION: The microarray data from testes and spermatozoa (pooled and individual) were concordant, supporting the view that a spermatozoal mRNA fingerprint can be obtained from normal fertile men. Thus, profiling can be used to monitor past events-ie, gene expression of spermatogenesis. Moreover, the data suggest that, in addition to delivering the paternal genome, spermatozoa provide the zygote with a unique suite of paternal mRNAs. Ejaculate spermatozoa can now be used as a non-invasive proxy for investigations of testis-specific infertility.

Adolescent↗

PubMed2002

X-chromosome inactivation during spermatogenesis is regulated by an Xist/Tsix-independent mechanism in the mouse.

Transcriptional inactivation of the single X chromosome occurs in spermatogenic cells during male meiosis in mammals and has been shown to be coincident with expression of the Xist gene in spermatogonia and spermatocytes in mice. However, male mice carrying an ablated Xist gene show normal fertility. Here we examined expression from the Xist locus during spermatogenesis in wild-type mice and detected sense (Xist), but not antisense (Tsix) transcripts. In addition, we examined expression and chromatin conformation of X-linked structural genes in meiotic and postmeiotic spermatogenic cells from wild-type and Xist(-) mice and found no differences associated with the absence of a functional Xist gene. These results, along with the formation of a morphologically normal XY body in primary spermatocytes in Xist(-) mice, indicate that a functional Xist gene is not required for X-chromosome inactivation during spermatogenesis and that this process is therefore regulated by a different mechanism than that which regulates X-chromosome inactivation in female embryonic cells.

Animals↗

PubMed2002

Profiling gene expression using onto-express.

Gene expression profiles obtained through microarray or data mining analyses often exist as vast data strings. To interpret the biology of these genetic profiles, investigators must analyze this data in the context of other information such as the biological, biochemical, or molecular function of the translated proteins. This is particularly challenging for a human analyst because large quantities of less than relevant data often bury such information. To address this need we implemented an automated routine, called Onto-Express (http://vortex.cs.wayne.edu:8080), to systematically translate genetic fingerprints into functional profiles. Using strings of accession or cluster identification numbers, Onto-Express searches the public databases and returns tables that correlate expression profiles with the cytogenetic locations, biochemical and molecular functions, biological processes, cellular components, and cellular roles of the translated proteins. The profiles created by Onto-Express fundamentally increase the value of gene expression analyses by facilitating the translation of quantitative value sets to records that contain biological implications.

Gene Expression Profiling↗

PubMed2002

A bioinformatic strategy to rapidly characterize cDNA libraries.

MOTIVATION: Complementary DNA libraries can define the genetic constituents of specific cells and/or tissues. Their sequencing will illuminate the transcriptome but it is a monumental task requiring considerable resources. RESULTS: We have employed a computational search in conjunction with a microarray-based strategy to alleviate the impediments of deriving a consensus of records that describe testis gene expression. This strategy identified 5681 unique testes-expressed genes of which 3265 were previously portrayed in the UniGene database. Interestingly, a total of 2416 novel testes-expressed genes were identified. This clearly demonstrates that microarrays can be used to rapidly discover a large number of new transcripts.

Adolescent↗