Publications by authors named "Gerald Arthur"

Article Synopsis
  • This study investigates the role of abnormal DNA methylation in the development of pre-B acute lymphoblastic leukemia (ALL) by analyzing both DNA methylation and gene expression data.
  • Researchers identified specific intergenic regions with altered methylation patterns that correlate with changes in gene expression in pre-B ALL patients, with most of these regions also being associated with key transcription factors involved in B-cell development.
  • A significant decrease in enhancer RNA (eRNA) levels was observed, linked to the downregulation of important genes related to B-cell migration, growth, and cell death, underscoring the potential of targeting these regulatory areas for new therapies in pre-B ALL.
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Aim: Long noncoding RNAs serve critical regulatory functions highly specific for a tissue and its developmental stage. Antisense long ncRNA (AS-lncRNA) methylation changes in acute lymphoblastic leukemia (ALL) versus normal pre-B-cell lymphoblasts were evaluated to identify potential differential methylation in this group of genes.

Materials & Methods: The methylome of ALL and normal lymphoblasts was examined by the methylated CpG island recovery assay followed by NGS.

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Objective: To critically evaluate whether open fracture fixation is a significant risk factor for latent osteosarcoma development.

Study Design: Case-control study.

Sample Population: Dogs undergoing open fracture repair and dogs diagnosed with osteosarcoma.

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Acute lymphoblastic leukemia (ALL) is the most common cancer diagnosed in children under the age of 15. In addition to genetic aberrations, epigenetic modifications such as DNA methylation are altered in cancer and impact gene expression. To identify epigenetic alterations in ALL, genome-wide methylation profiles were generated using the methylated CpG island recovery assay followed by next-generation sequencing.

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DNA methylation is an epigenetic modification that plays an important role in the regulation of gene expression. The function of RUNDC3B has yet to be determined, although its dysregulated expression has been associated with malignant potential of both breast and lung carcinoma. To elucidate the potential of using DNA methylation in RUNDC3B as a biomarker in lymphoid malignancies, the methylation status of six regions spanning the CpG island in the promoter region of RUNDC3B was determined in cancer cell lines.

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DNA methylation is responsible for regulating gene expression and cellular differentiation and for maintaining genomic stability during normal human development. Furthermore, it plays a significant role in the regulation of hematopoiesis. In order to elucidate the influence of DNA methylation during B-cell development, genome-wide DNA methylation status of pro-B, pre-BI, pre-BII, and naïve-B-cells isolated from human umbilical cord blood was determined using the methylated CpG island recovery assay followed by next generation sequencing.

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Objectives: We developed Resource Description Framework (RDF)-induced InfluGrams (RIIG) - an informatics formalism to uncover complex relationships among biomarker proteins and biological pathways using the biomedical knowledge bases. We demonstrate an application of RIIG in morphoproteomics, a theranostic technique aimed at comprehensive analysis of protein circuitries to design effective therapeutic strategies in personalized medicine setting.

Methods: RIIG uses an RDF "mashup" knowledge base that integrates publicly available pathway and protein data with ontologies.

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Background: In general, surgical pathology reviews report protein expression by tumors in a semi-quantitative manner, that is, -, -/+, +/-, +. At the same time, the experimental pathology literature provides multiple examples of precise expression levels determined by immunohistochemical (IHC) tissue examination of populations of tumors. Natural language processing (NLP) techniques enable the automated extraction of such information through text mining.

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We conducted a genome-wide DNA methylation analysis in CD19 (+) B-cells from chronic lymphocytic leukemia (CLL) patients and normal control samples using reduced representation bisulfite sequencing (RRBS). The methylation status of 1.8-2.

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Background: Immunohistochemistry (IHC) is an important tool to identify and quantify expression of certain proteins (antigens) to gain insights into the molecular processes in a diseased tissue. However, it is a challenge for pathologists to remember the discriminative characteristics of the growing number of such antigens across multiple diseases. The complexity of their expression patterns, fueled by continuous discoveries in molecular pathology, gives rise to a combinatorial explosion that places an unprecedented burden on a practicing pathologist and therefore increases cost and variability of IHC studies.

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Aims: B-cell chronic lymphocytic leukemia (CLL) is a heterogeneous malignancy that clinically ranges from indolent to rapidly progressive. CLL, like other cancers, can be affected by epigenetic alterations.

Materials & Methods: A microarray discovery-based study was initiated to determine DNA methylation in CLL cases with a range of CD38 expression (1–92%).

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Certain WNT and WNT network target genes are expressed at higher or lower levels in chronic lymphocytic leukemia compared with normal B-cells. This includes upregulation of nuclear complex genes, as well as genes for cytoplasmic proteins and WNT ligands and their cognate receptors. In addition, epigenetic silencing of several negative regulators of the WNT pathway have been identified.

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Background: This study is a comparative epigenetic evaluation of the methylation status of the DLC1 tumor suppressor gene in naturally-occurring canine lymphoma. Canine non-Hodgkin's lymphoma (NHL) has been proposed to be a relevant preclinical model that occurs spontaneously and may share causative factors with human NHL due to a shared home environment. The canine DLC1 mRNA sequence was derived from normal tissue.

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High-throughput microarray technologies were used to study DNA methylation accompanied by transcriptional changes in follicular lymphoma (FL). Using Methylated CpG Island Amplification with Microarrays to study CpG Island DNA methylation in FL, we discovered widespread hypermethylation of homeobox genes and previously identified targets of polycomb repressive complex 2 (PRC2) in cell lines and primary tumors, but not in benign follicular hyperplasia (BFH). DNA methylation for HOXA11, HOXD10, HOXB7, HOXC12, PAX6, LHX9, SFMBT2, EN2, and PAX7 was independently validated in the RL cell line and HOXA11, HOXD10, PAX6, and EN2 in primary tumors.

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Epigenetic studies in cancer pathways have been essential in helping scientists understand the key players in cancer. Gene relationships reported in biomedical literature are valuable to understand the interaction network. Nevertheless, biomedical literature is growing rapidly and the scientific community needs a mechanism to have up-to-date pathways that reflect the new findings from the literature.

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Heterogeneous genetic and epigenetic alterations are commonly found in human non-Hodgkin's lymphomas (NHL). One such epigenetic alteration is aberrant methylation of gene promoter-related CpG islands, where hypermethylation frequently results in transcriptional inactivation of target genes, while a decrease or loss of promoter methylation (hypomethylation) is frequently associated with transcriptional activation. Discovering genes with these relationships in NHL or other types of cancers could lead to a better understanding of the pathobiology of these diseases.

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This study examined DNA methylation associated with acute lymphoblastic leukemia (ALL) and showed that selected molecular targets can be pharmacologically modulated to reverse gene silencing. A CpG island (CGI) microarray containing more than 3,400 unique clones that span all human chromosomes was used for large-scale discovery experiments and led to 262 unique CGI loci being statistically identified as methylated in ALL lymphoblasts. The methylation status of 10 clones encompassing 11 genes (DCC, DLC-1, DDX51, KCNK2, LRP1B, NKX6-1, NOPE, PCDHGA12, RPIB9, ABCB1, and SLC2A14) identified as differentially methylated between ALL patients and controls was independently verified.

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OntoQuest is a physician decision support system that mines the hospital data base for previous decisions made in cases similar to the current one. For example, OntoQuest displays a list of the medications prescribed to similar historical patients from which the physician may compare his choice of medication for the current patient. This information retrieval is accomplished using ontological queries.

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