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Rama Natarajan

Researcher at City of Hope National Medical Center

Publications -  231
Citations -  18985

Rama Natarajan is an academic researcher from City of Hope National Medical Center. The author has contributed to research in topics: Angiotensin II & Vascular smooth muscle. The author has an hindex of 74, co-authored 218 publications receiving 17103 citations. Previous affiliations of Rama Natarajan include Beckman Research Institute.

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MicroRNA-192 in diabetic kidney glomeruli and its function in TGF-beta-induced collagen expression via inhibition of E-box repressors.

TL;DR: A role for miRs in the kidney and DN is uncovered in controlling TGF-β-induced Col1a2 expression by down-regulating E-box repressors.
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TGF-beta activates Akt kinase through a microRNA-dependent amplifying circuit targeting PTEN.

TL;DR: A mechanism of Akt activation through PTEN downregulation by two miRs, which are regulated by upstream miR-192 and TGF-β is revealed, which may have key roles, not only in kidney disorders, but also in other diseases.
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High Glucose-Induced Expression of Proinflammatory Cytokine and Chemokine Genes in Monocytic Cells

TL;DR: Results show for the first time that multiple inflammatory cytokines and chemokines relevant to the pathogenesis of diabetes complications are induced by HG via key signaling pathways.
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Epigenetic histone H3 lysine 9 methylation in metabolic memory and inflammatory phenotype of vascular smooth muscle cells in diabetes

TL;DR: Protective roles for H3K9me3 and Suv39h1 against the preactivated state of diabetic VSMC are demonstrated and dysregulation of epigenetic histone modifications may be a major underlying mechanism for metabolic memory and sustained proinflammatory phenotype of diabetic cells.
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Epigenetic mechanisms in diabetic complications and metabolic memory

TL;DR: The emerging role of epigenetics and epigenomics in the vascular complications of diabetes and metabolic memory is highlighted and can shed novel new insights into the pathology of diabetic complications, but also lead to the identification of much needed new drug targets.