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Dive into the research topics where John F. Robinson is active.

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Featured researches published by John F. Robinson.


Journal of Immunology | 2006

Defining the origins and evolution of the chemokine/chemokine receptor system

Mark E. DeVries; Alyson A. Kelvin; Luoling Xu; Longsi Ran; John F. Robinson; David J. Kelvin

The chemokine system has a critical role in mammalian immunity, but the evolutionary history of chemokines and chemokine receptors are ill-defined. We used comparative whole genome analysis of fruit fly, sea urchin, sea squirt, pufferfish, zebrafish, frog, and chicken to identify chemokines and chemokine receptors in each species. We report 127 chemokine and 70 chemokine receptor genes in the 7 species, with zebrafish having the most chemokines, 63, and chemokine receptors, 24. Fruit fly, sea urchin, and sea squirt have no identifiable chemokines or chemokine receptors. This study represents the most comprehensive analysis of the chemokine system to date and the only complete characterization of chemokine systems outside of mouse and human. We establish a clear evolutionary model of the chemokine system and trace the origin of the chemokine system to ∼650 million years ago, identifying critical steps in their evolution and demonstrating a more extensive chemokine system in fish than previously thought.


Journal of Lipid Research | 2014

LipidSeq: a next-generation clinical resequencing panel for monogenic dyslipidemias

Christopher T. Johansen; Joseph B. Dubé; Melissa N. Loyzer; Austin MacDonald; David E. Carter; Adam D. McIntyre; Henian Cao; Jian Wang; John F. Robinson; Robert A. Hegele

We report the design of a targeted resequencing panel for monogenic dyslipidemias, LipidSeq, for the purpose of replacing Sanger sequencing in the clinical detection of dyslipidemia-causing variants. We also evaluate the performance of the LipidSeq approach versus Sanger sequencing in 84 patients with a range of phenotypes including extreme blood lipid concentrations as well as additional dyslipidemias and related metabolic disorders. The panel performs well, with high concordance (95.2%) in samples with known mutations based on Sanger sequencing and a high detection rate (57.9%) of mutations likely to be causative for disease in samples not previously sequenced. Clinical implementation of LipidSeq has the potential to aid in the molecular diagnosis of patients with monogenic dyslipidemias with a high degree of speed and accuracy and at lower cost than either Sanger sequencing or whole exome sequencing. Furthermore, LipidSeq will help to provide a more focused picture of monogenic and polygenic contributors that underlie dyslipidemia while excluding the discovery of incidental pathogenic clinically actionable variants in nonmetabolism-related genes, such as oncogenes, that would otherwise be identified by a whole exome approach, thus minimizing potential ethical issues.


Current Opinion in Lipidology | 2015

Targeted next-generation sequencing in monogenic dyslipidemias.

Robert A. Hegele; Matthew R. Ban; Henian Cao; Adam D. McIntyre; John F. Robinson; Jian Wang

Purpose of review To evaluate the potential clinical translation of high-throughput next-generation sequencing (NGS) methods in diagnosis and management of dyslipidemia. Recent findings Recent NGS experiments indicate that most causative genes for monogenic dyslipidemias are already known. Thus, monogenic dyslipidemias can now be diagnosed using targeted NGS. Targeting of dyslipidemia genes can be achieved by either: designing custom reagents for a dyslipidemia-specific NGS panel; or performing genome-wide NGS and focusing on genes of interest. Advantages of the former approach are lower cost and limited potential to detect incidental pathogenic variants unrelated to dyslipidemia. However, the latter approach is more flexible because masking criteria can be altered as knowledge advances, with no need for re-design of reagents or follow-up sequencing runs. Also, the cost of genome-wide analysis is decreasing and ethical concerns can likely be mitigated. DNA-based diagnosis is already part of the clinical diagnostic algorithms for familial hypercholesterolemia. Furthermore, DNA-based diagnosis is supplanting traditional biochemical methods to diagnose chylomicronemia caused by deficiency of lipoprotein lipase or its co-factors. Summary The increasing availability and decreasing cost of clinical NGS for dyslipidemia means that its potential benefits can now be evaluated on a larger scale.


American Journal of Human Genetics | 2009

A Multiplex Human Syndrome Implicates a Key Role for Intestinal Cell Kinase in Development of Central Nervous, Skeletal, and Endocrine Systems

Piya Lahiry; Jian Wang; John F. Robinson; Jacob P. Turowec; David W. Litchfield; Matthew B. Lanktree; Gregory B. Gloor; Erik G. Puffenberger; Kevin A. Strauss; Mildred Martens; David A. Ramsay; C. Anthony Rupar; Victoria M. Siu; Robert A. Hegele

Six infants in an Old Order Amish pedigree were observed to be affected with endocrine-cerebro-osteodysplasia (ECO). ECO is a previously unidentified neonatal lethal recessive disorder with multiple anomalies involving the endocrine, cerebral, and skeletal systems. Autozygosity mapping and sequencing identified a previously unknown missense mutation, R272Q, in ICK, encoding intestinal cell kinase (ICK). Our results established that R272 is conserved across species and among ethnicities, and three-dimensional analysis of the protein structure suggests protein instability due to the R272Q mutation. We also demonstrate that the R272Q mutant fails to localize at the nucleus and has diminished kinase activity. These findings suggest that ICK plays a key role in the development of multiple organ systems.


BMC Medical Imaging | 2006

Semi-automated segmentation and quantification of adipose tissue in calf and thigh by MRI: a preliminary study in patients with monogenic metabolic syndrome

Salam A. Al-Attar; Rebecca L. Pollex; John F. Robinson; Brooke A. Miskie; Rhonda Walcarius; Brian K. Rutt; Robert A. Hegele

BackgroundWith the growing prevalence of obesity and metabolic syndrome, reliable quantitative imaging methods for adipose tissue are required. Monogenic forms of the metabolic syndrome include Dunnigan-variety familial partial lipodystrophy subtypes 2 and 3 (FPLD2 and FPLD3), which are characterized by the loss of subcutaneous fat in the extremities. Through magnetic resonance imaging (MRI) of FPLD patients, we have developed a method of quantifying the core FPLD anthropometric phenotype, namely adipose tissue in the mid-calf and mid-thigh regions.MethodsFour female subjects, including an FPLD2 subject (LMNA R482Q), an FPLD3 subject (PPARG F388L), and two control subjects were selected for MRI and analysis. MRI scans of subjects were performed on a 1.5T GE MR Medical system, with 17 transaxial slices comprising a 51 mm section obtained in both the mid-calf and mid-thigh regions. Using ImageJ 1.34 n software, analysis of raw MR images involved the creation of a connectedness map of the subcutaneous adipose tissue contours within the lower limb segment from a user-defined seed point. Quantification of the adipose tissue was then obtained after thresholding the connected map and counting the voxels (volumetric pixels) present within the specified region.ResultsMR images revealed significant differences in the amounts of subcutaneous adipose tissue in lower limb segments of FPLD3 and FPLD2 subjects: respectively, mid-calf, 15.5% and 0%, and mid-thigh, 25.0% and 13.3%. In comparison, old and young healthy controls had values, respectively, of mid-calf, 32.5% and 26.2%, and mid-thigh, 52.2% and 36.1%. The FPLD2 patient had significantly reduced subcutaneous adipose tissue compared to FPLD3 patient.ConclusionThus, semi-automated quantification of adipose tissue of the lower extremity can detect differences between individuals of various lipodystrophy genotypes and represents a potentially useful tool for extended quantitative phenotypic analysis of other genetic metabolic disorders.


Arteriosclerosis, Thrombosis, and Vascular Biology | 2016

Polygenic Versus Monogenic Causes of Hypercholesterolemia Ascertained Clinically

Jian Wang; Jacqueline S. Dron; Matthew R. Ban; John F. Robinson; Adam D. McIntyre; Maher Alazzam; Pei Jun Zhao; Allison A. Dilliott; Henian Cao; Murray W. Huff; David Rhainds; Cécile Low-Kam; Marie-Pierre Dubé; Guillaume Lettre; Jean-Claude Tardif; Robert A. Hegele

Objective—Next-generation sequencing technology is transforming our understanding of heterozygous familial hypercholesterolemia, including revision of prevalence estimates and attribution of polygenic effects. Here, we examined the contributions of monogenic and polygenic factors in patients with severe hypercholesterolemia referred to a specialty clinic. Approach and Results—We applied targeted next-generation sequencing with custom annotation, coupled with evaluation of large-scale copy number variation and polygenic scores for raised low-density lipoprotein cholesterol in a cohort of 313 individuals with severe hypercholesterolemia, defined as low-density lipoprotein cholesterol >5.0 mmol/L (>194 mg/dL). We found that (1) monogenic familial hypercholesterolemia–causing mutations detected by targeted next-generation sequencing were present in 47.3% of individuals; (2) the percentage of individuals with monogenic mutations increased to 53.7% when copy number variations were included; (3) the percentage further increased to 67.1% when individuals with extreme polygenic scores were included; and (4) the percentage of individuals with an identified genetic component increased from 57.0% to 92.0% as low-density lipoprotein cholesterol level increased from 5.0 to >8.0 mmol/L (194 to >310 mg/dL). Conclusions—In a clinically ascertained sample with severe hypercholesterolemia, we found that most patients had a discrete genetic basis detected using a comprehensive screening approach that includes targeted next-generation sequencing, an assay for copy number variations, and polygenic trait scores.


BMC Medical Imaging | 2007

Quantitative and qualitative differences in subcutaneous adipose tissue stores across lipodystrophy types shown by magnetic resonance imaging.

Salam A. Al-Attar; Rebecca L. Pollex; John F. Robinson; Brooke A. Miskie; Rhonda Walcarius; Cynthia Harper Little; Brian K. Rutt; Robert A. Hegele

BackgroundLipodystrophies are characterized by redistributed subcutaneous fat stores. We previously quantified subcutaneous fat by magnetic resonance imaging (MRI) in the legs of two patients with familial partial lipodystrophy subtypes 2 and 3 (FPLD2 and FPLD3, respectively). We now extend the MRI analysis across the whole body of patients with different forms of lipodystrophy.MethodsWe studied five subcutaneous fat stores (supraclavicular, abdominal, gluteal, thigh and calf) and the abdominal visceral fat stores in 10, 2, 1, 1 and 2 female subjects with, respectively, FPLD2, FPLD3, HIV-related partial lipodystrophy (HIVPL), acquired partial lipodystrophy (APL), congenital generalized lipodystrophy (CGL) and in six normal control subjects.ResultsCompared with normal controls, FPLD2 subjects had significantly increased supraclavicular fat, with decreased abdominal, gluteal, thigh and calf subcutaneous fat. FPLD3 subjects had increased supraclavicular and abdominal subcutaneous fat, with less severe reductions in gluteal, thigh and calf fat compared to FPLD2 subjects. The repartitioning of fat in the HIVPL subject closely resembled that of FPLD3 subjects. APL and CGL subjects had reduced upper body, gluteal and thigh subcutaneous fat; the APL subject had increased, while CGL subjects had decreased subcutaneous calf fat. Visceral fat was markedly increased in FPLD2 and APL subjects.ConclusionSemi-automated MRI-based adipose tissue quantification indicates differences between various lipodystrophy types in these studied clinical cases and is a potentially useful tool for extended quantitative phenomic analysis of genetic metabolic disorders. Further studies with a larger sample size are essential for confirming these preliminary findings.


Molecular Genetics & Genomic Medicine | 2014

Exome sequencing identifies NFS1 deficiency in a novel Fe-S cluster disease, infantile mitochondrial complex II/III deficiency

Sali M. K. Farhan; Jian Wang; John F. Robinson; Piya Lahiry; Victoria M. Siu; Chitra Prasad; Jonathan B. Kronick; David A. Ramsay; C. Anthony Rupar; Robert A. Hegele

Iron‐sulfur (Fe‐S) clusters are a class of highly conserved and ubiquitous prosthetic groups with unique chemical properties that allow the proteins that contain them, Fe‐S proteins, to assist in various key biochemical pathways. Mutations in Fe‐S proteins often disrupt Fe‐S cluster assembly leading to a spectrum of severe disorders such as Friedreichs ataxia or iron‐sulfur cluster assembly enzyme (ISCU) myopathy. Herein, we describe infantile mitochondrial complex II/III deficiency, a novel autosomal recessive mitochondrial disease characterized by lactic acidemia, hypotonia, respiratory chain complex II and III deficiency, multisystem organ failure and abnormal mitochondria. Through autozygosity mapping, exome sequencing, in silico analyses, population studies and functional tests, we identified c.215G>A, p.Arg72Gln in NFS1 as the likely causative mutation. We describe the first disease in man likely caused by deficiency in NFS1, a cysteine desulfurase that is implicated in respiratory chain function and iron maintenance by initiating Fe‐S cluster biosynthesis. Our results further demonstrate the importance of sufficient NFS1 expression in human physiology.


Journal of Magnetic Resonance Imaging | 2007

MRI of early‐ and late‐stage arterial remodeling in a low‐level cholesterol‐fed rabbit model of atherosclerosis

John A. Ronald; Rhonda Walcarius; John F. Robinson; Robert A. Hegele; Brian K. Rutt; Kem A. Rogers

To monitor early‐ and late‐stage arterial remodeling following low‐level cholesterol (CH) feeding in rabbits using a standardized MRI protocol.


Journal of Human Genetics | 2006

Ankyrin G overexpression in Hutchinson-Gilford progeria syndrome fibroblasts identified through biological filtering of expression profiles

Jian Wang; John F. Robinson; Caroline H. O’Neil; Jane Y. Edwards; Cm Williams; Murray W. Huff; J. Geoffrey Pickering; Robert A. Hegele

AbstractHutchinson-Gilford progeria syndrome (HGPS; MIM 176670) is a rare disease characterized by accelerated aging. In this study, light and immunofluorescence microscopy were used to assess morphological changes, measures of cell growth kinetics and gene expression profiles in HGPS cells and normal fibroblasts in culture. A filtering strategy was developed based on differentially expressed transcripts seen consistently across three culture stages based on cell passage number. This filtering strategy produced a list of 66 unique differentially expressed genes, of which ∼40% were upregulated in HGPS cells compared to normal fibroblasts. The increased mRNA expression in HGPS cells that was seen for one gene defined using this strategy—namely ANK3— was validated using quantitative reverse-transcriptase amplification, Western analysis and immunofluorescence microscopy, all of which showed significantly increased ankyrin G expression. These findings demonstrate differences in morphology, growth kinetics and mRNA expression profiles in HGPS cells compared to normal fibroblasts in culture, including increased expression of ANK3/ankyrin G. Furthermore, other genes that co-clustered with ANK3 might provide mechanistic clues regarding senescence in cultured HGPS cells.

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Robert A. Hegele

University of Western Ontario

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Jian Wang

Chinese Academy of Sciences

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Adam D. McIntyre

University of Western Ontario

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Henian Cao

University of Western Ontario

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Jacqueline S. Dron

University of Western Ontario

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Sali M. K. Farhan

University of Western Ontario

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Matthew R. Ban

University of Western Ontario

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C. Anthony Rupar

University of Western Ontario

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David Rhainds

Montreal Heart Institute

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