Biomedical subjects

David Tuck

Publications and source records attributed to David Tuck.

7 recordsLinked to original sources

PubMed2006

A limited number of genes are involved in the differentiation of germinal center B cells.

Mature B cells, upon activation, progressively differentiate through centroblasts into centrocytes and finally to plasmacytes that express large amounts of selected immunoglobulins. A significant part of this maturation is thought to involve induction of the unfolded protein response (UPR). We have compared gene expression in normal germinal center centroblasts, centrocytes, lymphoblastoid cells undergoing induced UPR, and the CCL155 plasmacytoma cell line. In the centroblast to centrocyte transition there is a change in the expression of a relatively small number of genes. These include a limited subset of the genes upregulated by a fully activated UPR as well as a small number of other transcription factors, some disulphide isomerases, and other genes. This is consistent with a model in which this transition is mediated by changes in the levels of expression of transcription factor B-lymphocyte-induced maturation protein 1 (Blimp1) (PRDM1), BACH2, X-box binding protein 1 (XBP1), interferon regulatory factor 4 (IRF4), and possibly vitamin D receptor (VDR) expression, together with post-transcriptional changes and a limited induction of aspects of the UPR.

Animals↗

PubMed2005

Neuregulin-regulated gene expression in mammary carcinoma cells.

Recent studies have suggested that autocrine production of Neuregulin (NRG), a growth factor that activates members of the Epidermal Growth Factor Receptor/ErbB family of proto-oncogenes, is sufficient for breast tumor initiation and progression. To elucidate the molecular mechanisms regulating these events, we undertook a global analysis of genes regulated by NRG in luminal mammary epithelial cell lines. Gene expression profiling of estrogen receptor-positive T47D cells exposed to NRG-1 revealed both previously identified and novel targets of NRG activation. Profiling of other estrogen receptor-positive breast cancer cell lines, MCF7 and SUM44, yielded a group of twenty-one genes whose transcripts are upregulated by NRG in all three lines tested. The NRG targets are FBJ murine osteosarcoma viral oncogene homolog B, Early growth response 1, v-jun avian sarcoma virus 17 oncogene homolog, Activating transcription factor 3, Homo sapiens cDNA FLJ31636 fis, Jun B proto-oncogene, Forkhead box C1, Platelet/endothelial cell adhesion molecule 1, NADPH-dependent retinol dehydrogenase/reductase, Dual specificity phosphatase 5, NGF inducible protein TIS21, Connective tissue growth factor, Jun D proto-oncogene, Serum response factor, Cullin 1, v-myc avian myelocytomatosis viral oncogene, Transient receptor potential channel 1, Low density lipoprotein receptor, Transforming growth factor beta 1, Nucleoporin 88 kDa, and Pleckstrin homology-like domain A1. Since NRG activation of these cells induces resistance to anti-hormonal therapy, the identified genes may provide clues to molecular events regulating mammary tumor progression and hormone independence.

Breast Neoplasms↗

PubMed2004

Training the next generation of informaticians: the impact of "BISTI" and bioinformatics--a report from the American College of Medical Informatics.

In 2002-2003, the American College of Medical Informatics (ACMI) undertook a study of the future of informatics training. This project capitalized on the rapidly expanding interest in the role of computation in basic biological research, well characterized in the National Institutes of Health (NIH) Biomedical Information Science and Technology Initiative (BISTI) report. The defining activity of the project was the three-day 2002 Annual Symposium of the College. A committee, comprised of the authors of this report, subsequently carried out activities, including interviews with a broader informatics and biological sciences constituency, collation and categorization of observations, and generation of recommendations. The committee viewed biomedical informatics as an interdisciplinary field, combining basic informational and computational sciences with application domains, including health care, biological research, and education. Consequently, effective training in informatics, viewed from a national perspective, should encompass four key elements: (1). curricula that integrate experiences in the computational sciences and application domains rather than just concatenating them; (2). diversity among trainees, with individualized, interdisciplinary cross-training allowing each trainee to develop key competencies that he or she does not initially possess; (3). direct immersion in research and development activities; and (4). exposure across the wide range of basic informational and computational sciences. Informatics training programs that implement these features, irrespective of their funding sources, will meet and exceed the challenges raised by the BISTI report, and optimally prepare their trainees for careers in a field that continues to evolve.

Computational Biology↗

PubMed2003

Gene expression in human neutrophils during activation and priming by bacterial lipopolysaccharide.

Circulating neutrophils play a key role both in the systemic inflammatory response and in complications of bacterial infection such as septic shock and septic multiple organ dysfunction syndrome. We have analyzed gene expression patterns in human neutrophils stimulated by E. coli lipopolysaccharide (LPS), with or without prior exposure to LPS, using differential display and oligonucleotide chip techniques. We identified 307 genes that were activated or repressed after treatment with LPS at 10 ng/ml and 385 genes after LPS at 100 ng/ml, compared with untreated neutrophils. The two sets included many transcription factors, cytokines, chemokines, interleukins, and surface antigens, as well as members of the toll-like receptor, Rel/NF-kappaB, and immune mediator gene families. Time course analysis showed that the early and late neutrophil responses to LPS share some common mechanisms, but many changes in gene expression are transient or late to develop. Neutrophils also showed a priming response to LPS, in which 97 genes significantly changed expression on re-exposure to lower dose LPS and were analyzed by unsupervised hierarchical clustering. These findings indicate that the neutrophil is a transcriptionally active cell responsive to environmental stimuli and capable of a complex series of both early and late changes in gene expression. Supplementary material for this article can be found on the Journal of Cellular Biochemistry website (http://jws-edci.interscience.wiley.com:8998/jpages/0730-2312/suppmat/89/v89.page.html).

Cluster Analysis↗

PubMed2002

Genomic and proteomic analysis of the myeloid differentiation program: global analysis of gene expression during induced differentiation in the MPRO cell line.

We have used an approach using 2-dimensional gel electrophoresis with mass spectrometry analysis combined with oligonucleotide chip hybridization for a comprehensive and quantitative study of the temporal patterns of protein and mRNA expression during myeloid development in the MPRO murine cell line. This global analysis detected 123 known proteins and 29 "new" proteins out of 220 protein spots identified by tandem mass spectroscopy, including proteins in 12 functional categories such as transcription factors and cytokines. Bioinformatic analysis of these proteins revealed clusters with functional importance to myeloid differentiation. Previous analyses have found that for a substantial number of genes the absolute amount of protein in the cell is not strongly correlated to the amount of mRNA. These conclusions were based on simultaneous measurement of mRNA and protein at just a single time point. Here, however, we are able to investigate the relationship between mRNA and protein in terms of simultaneous changes in their levels over multiple time points. This is the first time such a relationship has been studied, and we find that it gives a much stronger correlation, consistent with the hypothesis that a substantial proportion of protein change is a consequence of changed mRNA levels, rather than posttranscriptional effects. Cycloheximide inhibition also showed that most of the proteins detected by gel electrophoresis were relatively stable. Specific investigation of transcription factor mRNA representation showed considerable similarity to those of mature human neutrophils and highlighted several transcription factors and other functional nuclear proteins whose mRNA levels change prominently during MPRO differentiation but which have not been investigated previously in the context of myeloid development. Data are available online at http://bioinfo.mbb.yale.edu/expression/myelopoiesis.

Animals↗

PubMed2002

Development of a murine hematopoietic progenitor complementary DNA microarray using a subtracted complementary DNA library.

With the goal of creating a resource for in-depth study of myelopoiesis, we have executed a 2-pronged strategy to obtain a complementary DNA (cDNA) clone set enriched in hematopoietic genes. One aspect is a library subtraction to enrich for underrepresented transcripts present at early stages of hematopoiesis. For this, a hematopoietic cDNA library from primary murine bone marrow cells enriched for primitive progenitors was used as tester. The subtraction used 10 000 known genes and expressed sequence tags (ESTs) as driver. The 2304 randomly picked clones from the subtracted cDNA libraries represent 1255 distinct genes, of which 622 (50%) are named genes, 386 (30%) match uncharacterized ESTs, and 247 (20%) are novel. The second aspect of our strategy was to complement this subtracted library with genes known to be involved in myeloid cell differentiation and function. The resulting cDNAs were arrayed on polylysine-coated glass slides. The microarrays were used to analyze gene expression in primary and cultured murine bone marrow-derived progenitors. We found expression of various types of genes, including regulatory cytokines and their receptors, signal transduction genes, and transcription factors. To assess gene expression during myeloid differentiation, we examined patterns of change during induced differentiation of EML cells. Several hundred of the genes underwent fluctuations in expression level during myeloid cell differentiation. The complete database, accessible on the World Wide Web at http://yale130132115135.med.yale.edu/, allows for retrieval of information regarding these genes. Our microarray allows for genomewide expression analysis of myeloid stem cells, which will help in defining the regulatory mechanisms of stem cell differentiation.

Animals↗

PubMed2002

An approach to object-relational mapping in bioscience domains.

Object-relational mapping (mapping object-oriented software systems to relational databases) remains a challenging undertaking because of the inherent differences between these two technologies. Effective application of this technique in biomedical informatics applications can provide robust, adaptive solutions but requires careful attention to specific issues in the bioscience domain. Mapping from a single, fixed, stably defined object to a table is straightforward, and several standard patterns have been described for mapping inheritance trees to tables. However, mapping becomes more problematic when it involves complex, evolving inheritance trees, sparse, dynamic attributes, or associations and aggregations whose requirements and definitions change frequently during development. All of these seem to be inherent, inescapable facts in the development of biological information systems. Here we describe modifications of the basic patterns of object-relational mapping that are being applied to two systems in ongoing collaborations between biomedical investigators and informaticians. In this approach a small set of objects for each entity collaborates to provide the usual required services of an object-relational implementation including query capacity, transaction management, object relationships (associations, aggregation, composition, many-many relations) and persistence functions. This set of objects also allows dynamic attributes for a selected set of entities by merging an entity-attribute-value approach for data storage with the object-relational approach to managing relationships among objects. Templates are used for class generation to allow flexibility and synchronization of schema/object during design evolution, facilitating changing persistence strategies across the whole system for testing and development. The entity-attribute-value details as well as all database access are encapsulated in a persistence layer which would allow change of this layer to a conventional storage model, if the design evolution is stabilized or for performance requirements, with no change to the domain or presentation layers.

Biology↗