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Mehran Taherian

Researcher at University of Miami

Publications -  16
Citations -  4768

Mehran Taherian is an academic researcher from University of Miami. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 6, co-authored 10 publications receiving 3995 citations. Previous affiliations of Mehran Taherian include Veterans Health Administration & State University of New York System.

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The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Kristin G. Ardlie, +132 more
- 08 May 2015 - 
TL;DR: The landscape of gene expression across tissues is described, thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants are cataloged, complex network relationships are described, and signals from genome-wide association studies explained by eQTLs are identified.
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Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

Jialiang Yang, +146 more
- 19 Oct 2015 - 
TL;DR: In this article, the aging gene expression signatures are very tissue specific and enrichment for some well-known aging components such as mitochondria biology is observed in many tissues, and different levels of cross-tissue synchronization of age-related gene expression changes are observed, and some essential tissues (e.g., heart and lung) show much stronger "co-aging" than other tissues based on principal component analysis.
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Mitochondrial DNA Double-Strand Breaks in Oligodendrocytes Cause Demyelination, Axonal Injury, and CNS Inflammation

TL;DR: It is demonstrated that mtDNA damage can cause primary oligodendropathy, which in turn triggers demyelination, proving PLP:mtPstI mice to be a useful tool to study the pathological consequences of mitochondrial dysfunction in oligod endonuclease, as well as an ideal platform to test remyelinating and neuroprotective agents.
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Fuzzy Rule-Based Expert System for Evaluating Level of Asthma Control

TL;DR: Evaluation of performance of this intelligent fuzzy system reinforces that the system’s results not only correspond with the evaluations of experienced asthma physicians, but represents slight differences in the levels of asthma control between asthmatic patients.