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Donn M Stewart

Publications and source records attributed to Donn M Stewart.

6 recordsLinked to original sources

High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

BACKGROUND: We previously developed GoMiner, an application that organizes lists of 'interesting' genes (for example, under-and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. The original version of GoMiner was oriented toward visualization and interpretation of the results from a single microarray (or other high-throughput experimental platform), using a graphical user interface. Although that version can be used to examine the results from a number of microarrays one at a time, that is a rather tedious task, and original GoMiner includes no apparatus for obtaining a global picture of results from an experiment that consists of multiple microarrays. We wanted to provide a computational resource that automates the analysis of multiple microarrays and then integrates the results across all of them in useful exportable output files and visualizations. RESULTS: We now introduce a new tool, High-Throughput GoMiner, that has those capabilities and a number of others: It (i) efficiently performs the computationally-intensive task of automated batch processing of an arbitrary number of microarrays, (ii) produces a human-or computer-readable report that rank-orders the multiple microarray results according to the number of significant GO categories, (iii) integrates the multiple microarray results by providing organized, global clustered image map visualizations of the relationships of significant GO categories, (iv) provides a fast form of 'false discovery rate' multiple comparisons calculation, and (v) provides annotations and visualizations for relating transcription factor binding sites to genes and GO categories. CONCLUSION: High-Throughput GoMiner achieves the desired goal of providing a computational resource that automates the analysis of multiple microarrays and integrates results across all of the microarrays. For illustration, we show an application of this new tool to the interpretation of altered gene expression patterns in Common Variable Immune Deficiency (CVID). High-Throughput GoMiner will be useful in a wide range of applications, including the study of time-courses, evaluation of multiple drug treatments, comparison of multiple gene knock-outs or knock-downs, and screening of large numbers of chemical derivatives generated from a promising lead compound.

Binding Sites↗

Update on X-linked hypogammaglobulinemia with isolated growth hormone deficiency.

PURPOSE OF REVIEW: To provide an update on the syndrome X-linked hypogammaglobulinemia with isolated growth hormone deficiency, focusing on the pedigree described originally. RECENT FINDINGS: An additional case of X-linked hypogammaglobulinemia with isolated growth hormone deficiency and an unaffected male have been born to a female carrier in the family, allowing improved disease locus mapping. Unpublished research has identified a mutation in the transcription factor myeloid elf-1-like factor that may be the cause of the disease. SUMMARY: X-linked hypogammaglobulinemia with isolated growth hormone deficiency is not caused by Bruton's tyrosine kinase mutations in the family described originally, but may be due to a mutation in myeloid elf-1-like factor.

Agammaglobulinemia↗

Mutations of the Wiskott-Aldrich Syndrome Protein (WASP): hotspots, effect on transcription, and translation and phenotype/genotype correlation.

The Wiskott-Aldrich syndrome (WAS) is an X-linked recessive immune deficiency disorder characterized by thrombocytopenia, small platelet size, eczema, recurrent infections, and increased risk of autoimmune disorders and malignancies. X-linked thrombocytopenia (XLT) is an allelic variant of WAS which presents with a milder phenotype, generally limited to thrombocytopenia. WAS and XLT are caused by mutations of the Wiskott-Aldrich syndrome protein (WASP) gene which encodes a 502-amino acid protein, named WASP. WASP is thought to play a role in actin cytoskeleton organization and cell signaling. Here, we report the identification of 141 unique mutations, 71 not previously reported, from 227 WAS/XLT families with a total of 262 affected members. When possible we studied the effects of these mutations on transcription, RNA splicing, and protein expression. By analyzing a large number of patients with WAS/XLT at the molecular level we identified 5 mutational hotspots in the WASP gene and have been able to establish a strong association between genotype and phenotype.

Child↗

AKAP350 interaction with cdc42 interacting protein 4 at the Golgi apparatus.

The A kinase anchoring protein 350 (AKAP350) is a multiply spliced type II protein kinase A anchoring protein that localizes to the centrosomes in most cells and to the Golgi apparatus in epithelial cells. In the present study, we sought to identify AKAP350 interacting proteins that could yield insights into AKAP350 function at the Golgi apparatus. Using yeast two-hybrid and pull-down assays, we found that AKAP350 interacts with a family of structurally related proteins, including FBP17, FBP17b, and cdc42 interacting protein 4 (CIP4). CIP4 interacts with the GTP-bound form of cdc42, with the Wiscott Aldrich Syndrome group of proteins, and with microtubules, and exerts regulatory effects on cytoskeleton and membrane trafficking. CIP4 is phosphorylated by protein kinase A in vitro, and elevation of intracellular cyclic AMP with forskolin stimulates in situ phosphorylation of CIP4. Our results indicate that CIP4 interacts with AKAP350 at the Golgi apparatus and that either disruption of this interaction by expressing the CIP4 binding domain in AKAP350, or reduction of AKAP350 expression by RNA interference leads to changes in Golgi structure. The results suggest that AKAP350 and CIP4 influence the maintenance of normal Golgi apparatus structure.

Adaptor Proteins, Signal Transducing↗

B lymphocytes from individuals with common variable immunodeficiency respond to B lymphocyte stimulator (BLyS protein) in vitro.

B lymphocyte stimulator (BLyS protein) is a member of the human TNF family of ligands. BLyS induces B-lymphocyte proliferation and Ig secretion in vitro and in vivo. These qualities suggest that it may be useful as a therapeutic in the treatment of immunodeficiencies characterized by low or absent serum immunoglobulin, such as common variable immunodeficiency (CVID). CVID is characterized by the inability to generate adequate serum Ig despite normal or slightly depressed peripheral B, T, and myeloid cell populations. We tested the ability of BLyS to stimulate B lymphocytes obtained from CVID patients. Among five patients studied, 60% (three of five) produced normal quantities of IgM when cultured in the presence of BLyS. B-cell proliferation among patients was comparable, with 60% (three of five) responding to BLyS stimulation. These results suggest that BLyS induces proliferative and Ig-secretory responses in B lymphocytes isolated from some CVID patients and lend support to its potential use in therapy of this disorder.

Adjuvants, Immunologic↗

Tracking gene expression in primary immunodeficiencies.

PURPOSE OF REVIEW: Extensive research on molecular genetics in recent decades has provided a wealth of information about the mechanisms of primary immunodeficiency diseases. Microarray technology enables the survey of the expression of thousands of genes simultaneously. This review focuses on the commonly used arrays and initial applications in the study of primary immunodeficiency diseases. The application of this technology has been found to accelerate the discovery rate of gene expression disturbances in primary immunodeficiency diseases and provide potential molecular diagnostic tools. RECENT FINDINGS: The important role of microarray technology in functional genomic study has been demonstrated by the exponential growth in the number of scientific publications in the last few years. Microarray analysis has been used to study gene expression in several immunodeficiency diseases with known gene mutations as well as those with unknown causes. It has provided snapshots of gene expression and has presented the molecular phenotypes in the cells at defined times and under certain stimulation conditions. Studies comparing differential gene expression in patients and normal controls have allowed us to better understand the immunodeficiencies at the molecular level. SUMMARY: Application of microarray technology in immunodeficiency study has facilitated tracking the expression of thousands of genes simultaneously. The molecular phenotypes obtained from microarray results can be used in diagnosis of diseases, supplemental to clinical phenotypes. It is a powerful survey tool that can detect disturbed gene expression in immunodeficiency diseases, which will provide clues for disease gene discovery and potential targets for drug development.

B-Lymphocytes↗