Medical Genetics Commons^™

A Proteome-Wide Protein Interaction Map For Campylobacter Jejuni, Jodi R. Parrish, Jingkai Yu, Guozhen Liu, Julie A. Hines, Jason E. Chan, Bernie A. Mangiola, Huamei Zhang, Svetlana Pacifico, Farshad Fotouhi, Victor J. Dirita, Trey Ideker, Phillip Andrews, Russell L. Finley Jr

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Data from large-scale protein interaction screens for humans and model eukaryotes have been invaluable for developing systems-level models of biological processes. Despite this value, only a limited amount of interaction data is available for prokaryotes. Here we report the systematic identification of protein interactions for the bacterium Campylobacter jejuni, a food-borne pathogen and a major cause of gastroenteritis worldwide.

Results

Using high-throughput yeast two-hybrid screens we detected and reproduced 11,687 interactions. The resulting interaction map includes 80% of the predicted C. jejuni NCTC11168 proteins and places a large number of poorly characterized proteins into networks that provide initial …

Whole Genome Expression Profiling Reveals A Significant Role For Immune Function In Human Abdominal Aortic Aneurysms, Guy M. Lenk, Gerard Tromp, Shantel Weinsheimer, Zoran Gatalica, Ramon Berguer, Helena Kuivaniemi

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Abdominal aortic aneurysms are a common disorder with an incompletely understood etiology. We used Illumina and Affymetrix microarray platforms to generate global gene expression profiles for both aneurysmal (AAA) and non-aneurysmal abdominal aorta, and identified genes that were significantly differentially expressed between cases and controls.

Results

Affymetrix and Illumina arrays included 18,057 genes in common; 11,542 (64%) of these genes were considered to be expressed in either aneurysmal or normal abdominal aorta. There were 3,274 differentially expressed genes with a false discovery rate (FDR) ≤ 0.05. Many of these genes were not previously known to be involved in …

A Database And Tool, Im Browser, For Exploring And Integrating Emerging Gene And Protein Interaction Data For Drosophila, Svetlana Pacifico, Guozhen Liu, Stephen Guest, Jodi R. Parrish, Farshad Fotouhi, Russell L. Finley Jr

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Biological processes are mediated by networks of interacting genes and proteins. Efforts to map and understand these networks are resulting in the proliferation of interaction data derived from both experimental and computational techniques for a number of organisms. The volume of this data combined with the variety of specific forms it can take has created a need for comprehensive databases that include all of the available data sets, and for exploration tools to facilitate data integration and analysis. One powerful paradigm for the navigation and analysis of interaction data is an interaction graph or map that represents proteins …

Transcriptional Profiling Of Degraded Rna In Cryopreserved And Fixed Tissue Samples Obtained At Autopsy, Andrew C. Haller, Deepa Kanakapalli, Rosemarie Walter, Samir Alhasan, James F. Eliason, Richard B. Everson

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Traditional multiplexed gene expression methods require well preserved, intact RNA. Such specimens are difficult to acquire in clinical practice where formalin fixation is the standard procedure for processing tissue. Even when special handling methods are used to obtain frozen tissue, there may be RNA degradation; for example autopsy samples where degradation occurs both pre-mortem and during the interval between death and cryopreservation. Although specimens with partially degraded RNA can be analyzed by qRT-PCR, these analyses can only be done individually or at low levels of multiplexing and are laborious and expensive to run for large numbers of RNA …

Identification Of Novel Functional Sequence Variants In The Gene For Peptidase Inhibitor 3, Mahboob A. Chowdhury, Helena Kuivaniemi, Roberto Romero, Samuel Edwin, Tinnakorn Chaiworapongsa, Gerard Tromp

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Peptidase inhibitor 3 (PI3) inhibits neutrophil elastase and proteinase-3, and has a potential role in skin and lung diseases as well as in cancer. Genome-wide expression profiling of chorioamniotic membranes revealed decreased expression of PI3 in women with preterm premature rupture of membranes. To elucidate the molecular mechanisms contributing to the decreased expression in amniotic membranes, the PI3 gene was searched for sequence variations and the functional significance of the identified promoter variants was studied.

Methods

Single nucleotide polymorphisms (SNPs) were identified by direct sequencing of PCR products spanning a region from 1,173 bp upstream to 1,266 bp …

K-Spmm: A Database Of Murine Spermatogenic Promoters Modules & Motifs, Yi Lu, Adrian E. Platts, G Charles Ostermeier, Stephen A. Krawetz

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Understanding the regulatory processes that coordinate the cascade of gene expression leading to male gamete development has proven challenging. Research has been hindered in part by an incomplete picture of the regulatory elements that are both characteristic of and distinctive to the broad population of spermatogenically expressed genes.

Description

K-SPMM, a database of murine Spermatogenic Promoters Modules and Motifs, has been developed as a web-based resource for the comparative analysis of promoter regions and their constituent elements in developing male germ cells. The system contains data on 7,551 genes and 11,715 putative promoter regions …

Gene Expression Profiling Revealed Novel Mechanism Of Action Of Taxotere And Furtulon In Prostate Cancer Cells, Yiwei Li, Maha Hussain, Sarah H. Sarkar, James Eliason, Ran Li, Fazlul H. Sarkar

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Both Taxotere and Capecitabine have shown anti-cancer activity against various cancers including prostate cancer. In combination, Taxotere plus Capecitabine has demonstrated higher anti-cancer activity in advanced breast cancers. However, the molecular mechanisms of action of Taxotere and Capecitabine have not been fully elucidated in prostate cancer.

Methods

The total RNA from PC3 and LNCaP prostate cells untreated and treated with 2 nM Taxotere, 110 μM Furtulon (active metabolite of Capecitabine), or 1 nM Taxotere plus 50 μM Furtulon for 6, 36, and 72 hours, was subjected to Affymetrix Human Genome U133A Array analysis. Real-time PCR and Western Blot …

Expression Pattern And Regulation Of Genes Differ Between Fibroblasts Of Adhesion And Normal Human Peritoneum, Ujjwal K. Rout, Ghassan M. Saed, Michael P. Diamond

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Injury to the peritoneum during surgery is followed by a healing process that frequently results in the attachment of adjacent organs by a fibrous mass, referred commonly as adhesions. Because injuries to the peritoneum during surgery are inevitable, it is imperative that we understand the mechanisms of adhesion formation to prevent its occurrence. This requires thorough understanding of the molecular sequence that results in the attachment of injured peritoneum and the development of fibrous tissue. Recent data show that fibroblasts from the injured peritoneum may play a critical role in the formation of adhesion tissues. Therefore, identifying changes …

A Drosophila Protein-Interaction Map Centered On Cell-Cycle Regulators, Clement A. Stanyon, Guozhen Liu, Bernardo A. Mangiola, Nishi Patel, Loic Giot, Bing Kuang, Huamei Zhang, Jinhui Zhong, Russell L. Finley Jr

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Maps depicting binary interactions between proteins can be powerful starting points for understanding biological systems. A proven technology for generating such maps is high-throughput yeast two-hybrid screening. In the most extensive screen to date, a Gal4-based two-hybrid system was used recently to detect over 20,000 interactions among Drosophila proteins. Although these data are a valuable resource for insights into protein networks, they cover only a fraction of the expected number of interactions.

Results

To complement the Gal4-based interaction data, we used the same set of Drosophila open reading frames to construct arrays for a LexA-based two-hybrid system. We …

Imaging Genome Abnormalities In Cancer Research, Henry Hq Heng, Joshua B. Stevens, Guo Liu, Steven W. Bremer, Christine J. Ye

Wayne State University Associated BioMed Central Scholarship

Abstract

Increasing attention is focusing on chromosomal and genome structure in cancer research due to the fact that genomic instability plays a principal role in cancer initiation, progression and response to chemotherapeutic agents. The integrity of the genome (including structural, behavioral and functional aspects) of normal and cancer cells can be monitored with direct visualization by using a variety of cutting edge molecular cytogenetic technologies that are now available in the field of cancer research. Examples are presented in this review by grouping these methodologies into four categories visualizing different yet closely related major levels of genome structures. An integrated …

Incremental Genetic K-Means Algorithm And Its Application In Gene Expression Data Analysis, Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, Susan J. Brown

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms such as K-means, hierarchical clustering, SOM, etc, genes are partitioned into groups based on the similarity between their expression profiles. In this way, functionally related genes are identified. As the amount of laboratory data in molecular biology grows exponentially each year due to advanced technologies such as Microarray, new efficient and effective methods for clustering must be developed to process this growing amount of biological data.

Results

In this paper, we propose a new clustering …

Analysis Of Gene × Environment Interactions In Sibships Using Mixed Models, Jill S. Barnholtz-Sloan, Laila M. Poisson, Steven W. Coon, Gary A. Chase, Benjamin A. Rybicki

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Gene × environment models are widely used to assess genetic and environmental risks and their association with a phenotype of interest for many complex diseases. Mixed generalized linear models were used to assess gene × environment interactions with respect to systolic blood pressure on sibships adjusting for repeated measures and hierarchical nesting structures. A data set containing 410 sibships from the Framingham Heart Study offspring cohort (part of the Genetic Analysis Workshop 13 data) was used for all analyses. Three mixed gene × environment models, all adjusting for repeated measurement and varying levels of nesting, were compared for …

High-Resolution Physical Map For Chromosome 16q12.1-Q13, The Blau Syndrome Locus, Xiaoju Wang, Helena Kuivaniemi, Gina Bonavita, Charlene J. Williams, Gerard Tromp

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

The Blau syndrome (MIM 186580), an autosomal dominant granulomatous disease, was previously mapped to chromosome 16p12-q21. However, inconsistent physical maps of the region and consequently an unknown order of microsatellite markers, hampered us from further refining the genetic locus for the Blau syndrome. To address this problem, we constructed our own high-resolution physical map for the Blau susceptibility region.

Results

We generated a high-resolution physical map that provides more than 90% coverage of a refined Blau susceptibility region. The map consists of four contigs of sequence tagged site-based bacterial artificial chromosomes with a total of 124 bacterial artificial …

Search For Intracranial Aneurysm Susceptibility Gene(S) Using Finnish Families, Jane M. Olson, Sompong Vongpunsawad, Helena Kuivaniemi, Antti Ronkainen, Juha Hernesniemi, Markku Ryynã¤Nen, Lee-Lian Kim, Gerard Tromp

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Cerebrovascular disease is the third leading cause of death in the United States, and about one-fourth of cerebrovascular deaths are attributed to ruptured intracranial aneurysms (IA). Epidemiological evidence suggests that IAs cluster in families, and are therefore probably genetic. Identification of individuals at risk for developing IAs by genetic tests will allow concentration of diagnostic imaging on high-risk individuals. We used model-free linkage analysis based on allele sharing with a two-stage design for a genome-wide scan to identify chromosomal regions that may harbor IA loci.

Methods

We previously estimated sibling relative risk in the Finnish population at between …

A Simple Method For Generating Full Length Cdna From Low Abundance Partial Genomic Clones, Yongxin Wang, Joseph M. Fugaro, Fauzia Siddiq, Chandra Mouli V. Goparaju, Fulvio Lonardo, Anil Wali, John F. Lechner, Harvey I. Pass

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

PCR amplification of target molecules involves sequence specific primers that flank the region to be amplified. While this technique is generally routine, its applicability may not be sufficient to generate a desired target molecule from two separate regions involving intron /exon boundaries. For these situations, the generation of full-length complementary DNAs from two partial genomic clones becomes necessary for the family of low abundance genes.

Results

The first approach we used for the isolation of full-length cDNA from two known genomic clones of Hox genes was based on fusion PCR. Here we describe a simple and efficient method …