Cardiovascular Genomics: A Biomarker Identification Pipeline

Phan, John H.; Quo, C.F.; Wang, May D.

doi:10.1109/titb.2012.2199570

Cited by 15 publications

(8 citation statements)

References 129 publications

(152 reference statements)

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“…Many reviews exist that deal with topics like whole-genome expression analysis (over 2,200 reviews in PubMed with the search strings "microarray" and "expression analysis"), cancer research (Chibon 2013;Daigo et al 2013;Ho et al 2013;Sato-Otsubo et al 2012;Tiwari 2012), molecular karyotyping (Dhillon et al 2014), chromosomal microarray analysis (Brady and Vermeesch 2012), phylogenetics/microbiome (Nikolaki and Tsiamis 2013), or gene regulation via ChIP-chip (Falk 2010;Powell et al 2013). DNA microarrays have been used to study heart diseases (Phan et al 2012), aspects in dermatology (Villasenor-Park and Ortega-Loayza 2013), or mental disorders like autism (Carter and Scherer 2013) and many others. A more detailed overview focusing on applications in clinical microbiology has been given by Miller et al (Miller and Tang 2009).…”

Section: Dna Microarray Fabricationmentioning

confidence: 99%

RNA and DNA Diagnostics

Erdmann¹,

Jurga²,

Barciszewski³

2015

RNA Technologies

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Section: Dna Microarray Fabricationmentioning

confidence: 99%

RNA and DNA Diagnostics

Erdmann¹,

Jurga²,

Barciszewski³

2015

RNA Technologies

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“…What is apparent at a clinical level in the disease progression (with signs as myocardium hypertrophy and interstitial fibrosis) is actually the outcome of a reprogramming of gene expression, which represents the physiological response of myocytes to stress conditions. So, a detailed analysis of the transcriptome becomes of paramount importance to study and characterize the myocardial tissue at the molecular level, unveiling genes and pathways which are perturbed in inherited and acquired forms of disease [12].…”

Section: B Transcriptomicsmentioning

confidence: 99%

Dissecting Heart Failure Through the Multiscale Approach of Systems Medicine

Pattini

Sassi

Cerutti

2014

IEEE Trans. Biomed. Eng.

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Heart failure (HF) is a complex syndrome which can be the exit of different etiologies which lead to a common clinical picture. Treatment outcome is modest and new insights into pathophysiology are needed to improve effectively diagnosis, prognosis, and therapy. As a complex disease, it can really benefit from the new approach provided by molecular medicine where information about the cell program can deeply change the patient management. The comprehension of molecular mechanisms relies on new technologies which are able to provide data at the different levels of the cell workflow. A proper processing of these data is as essential as the generation of data itself, together with an integrative approach able to exploit observations at different scales, starting from the molecular levels up to an effective assessment of phenotype with cardiovascular and systemic parameters. In this paper, evidences concerning current understanding of HF, passing from one scale to another, are reported, to underline how functional genomics and systems biology perspective, fostered by the combination of biotechnologies and bioinformatic methods, may transform the concepts of diagnosis and, consequently, of treatment, toward the fulfillment of the invoked patient-specific medicine.

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“…To assist the understanding of the underlying molecular basis for CVDs, Wang et al [3] proposed a biomarker identification pipeline, which takes into consideration the essential steps in analyzing genomic datasets: from a high-throughput genomic data acquisition method to the interpretation and validation of candidate biomarkers. The pipeline can also be generalized for other diseases.…”

Section: Multiscale and Multimodal Cardiovascularmentioning

confidence: 99%

Guest Editorial Cardiovascular Health Informatics: Risk Screening and Intervention

Hartley¹,

Naghavi²,

Parodi³

et al. 2012

IEEE Trans. Inform. Technol. Biomed.

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Despite enormous efforts to prevent cardiovascular disease (CVD) in the past, it remains the leading cause of death in most countries worldwide. Around two-thirds of these deaths are due to acute events, which frequently occur suddenly and are often fatal before medical care can be given. New strategies for screening and early intervening CVD, in addition to the conventional methods, are therefore needed in order to provide personalized and pervasive healthcare. In this special issue, selected emerging technologies in health informatics for screening and intervening CVDs are reported. These papers include reviews or original contributions on 1) new potential genetic biomarkers for screening CVD outcomes and high-throughput techniques for mining genomic data; 2) new imaging techniques for obtaining faster and higher resolution images of cardiovascular imaging biomarkers such as the cardiac chambers and atherosclerotic plaques in coronary arteries, as well as possible automatic segmentation, identification, or fusion algorithms; 3) new physiological biomarkers and novel wearable and home healthcare technologies for monitoring them in daily lives; 4) new personalized prediction models of plaque formation and progression or CVD outcomes; and 5) quantifiable indices and wearable systems to measure them for early intervention of CVD through lifestyle changes. It is hoped that the proposed technologies and systems covered in this special issue can result in improved CVD management and treatment at the point of need, offering a better quality of life to the patient.

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Cardiovascular Genomics: A Biomarker Identification Pipeline

Cited by 15 publications

References 129 publications

RNA and DNA Diagnostics

RNA and DNA Diagnostics

Dissecting Heart Failure Through the Multiscale Approach of Systems Medicine

Guest Editorial Cardiovascular Health Informatics: Risk Screening and Intervention

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