Faculty Opinions recommendation of A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases.

Author(s):  
Dominique Eladari ◽  
Bharath Wootla
Cancer Cell ◽  
2010 ◽  
Vol 17 (4) ◽  
pp. 348-361 ◽  
Author(s):  
Heather A. Hirsch ◽  
Dimitrios Iliopoulos ◽  
Amita Joshi ◽  
Yong Zhang ◽  
Savina A. Jaeger ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Andrew Folick ◽  
Suneil K. Koliwad ◽  
Martin Valdearcos

In mammals, myeloid cells help maintain the homeostasis of peripheral metabolic tissues, and their immunologic dysregulation contributes to the progression of obesity and associated metabolic disease. There is accumulating evidence that innate immune cells also serve as functional regulators within the mediobasal hypothalamus (MBH), a critical brain region controlling both energy and glucose homeostasis. Specifically, microglia, the resident parenchymal myeloid cells of the CNS, play important roles in brain physiology and pathology. Recent studies have revealed an expanding array of microglial functions beyond their established roles as immune sentinels, including roles in brain development, circuit refinement, and synaptic organization. We showed that microglia modulate MBH function by transmitting information resulting from excess nutrient consumption. For instance, microglia can sense the excessive consumption of saturated fats and instruct neurons within the MBH accordingly, leading to responsive alterations in energy balance. Interestingly, the recent emergence of high-resolution single-cell techniques has enabled specific microglial populations and phenotypes to be profiled in unprecedented detail. Such techniques have highlighted specific subsets of microglia notable for their capacity to regulate the expression of lipid metabolic genes, including lipoprotein lipase (LPL), apolipoprotein E (APOE) and Triggering Receptor Expressed on Myeloid Cells 2 (TREM2). The discovery of this transcriptional signature highlights microglial lipid metabolism as a determinant of brain health and disease pathogenesis, with intriguing implications for the treatment of brain disorders and potentially metabolic disease. Here we review our current understanding of how changes in microglial lipid metabolism could influence the hypothalamic control of systemic metabolism.


2016 ◽  
Vol 36 (suppl_1) ◽  
Author(s):  
Ryan M Allen ◽  
Shilin Zhao ◽  
Quanhu Sheng ◽  
MacRae F Linton ◽  
Kasey C Vickers

Cardiovascular disease (CVD) is a significant health and financial burden to our society that demands new and more effective therapies. Although dyslipidemias are primary risk factors for CVD, alternative lipoprotein functions also contribute to CVD and warrant greater understanding. We have found that high-density lipoproteins (HDL) transport microRNAs (miRNA) in circulation and HDL-miRNA signatures are significantly altered in hypercholesterolemia and atherosclerosis. Moreover, we found that HDL transfers extracellular miRNAs to recipient cells where they regulate gene expression through post-transcriptional repression of mRNA targets. We used high-throughput small RNA (sRNA) sequencing to identify and quantify miRNAs and novel sRNAs on HDL and other lipoproteins. Most interestingly, we found that the majority of sRNAs on lipoproteins are likely derived from non-human organisms of multiple kingdoms. Based on these observations, we hypothesized that human and non-human sRNAs on lipoproteins are unique regulators of gene networks that contribute to the complex pathophysiology of CVD. To assess this hypothesis, highly pure lipoproteins (HDL, low-density lipoproteins (LDL), and very low-density lipoproteins (VLDL)) were isolated from plasma of hypercholesterolemic (heterozygous familial hypercholesterolemia, n=9) and healthy (n=7) subjects. We found that HDL, LDL, and VLDL each transport unique sRNA signatures, which are differentially altered in hypercholesterolemic subjects. Using a human tissue library, we identified tissues that likely take up non-human sRNAs. We also found that each class of lipoprotein is capable of transferring non-human sRNAs to multiple cell types, and that transfer efficiency is altered in hypercholesterolemia. Lastly, using a combination of in vitro over-expression and locked-nucleic-acid inhibition for candidate, lipoprotein-enriched, non-human sRNAs, we have discovered novel regulatory networks for critical genes in inflammation and lipid metabolism. This work demonstrates that lipoprotein transport of endogenous and exogenous sRNAs likely have complex roles in the progression and resolution of CVD and are a source of untapped potential for nucleic-acid based therapeutics.


2014 ◽  
Vol 21 (12) ◽  
pp. 542-548 ◽  
Author(s):  
D-L Hou ◽  
L Chen ◽  
B Liu ◽  
L-N Song ◽  
T Fang

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 121 ◽  
Author(s):  
David J. Wiley ◽  
Ilona Juan ◽  
Hao Le ◽  
Xiaodong Cai ◽  
Lisa Baumbach ◽  
...  

Genetic interaction networks that underlie most human diseases are highly complex and poorly defined. Better-defined networks will allow identification of a greater number of therapeutic targets.Here we introduce our Yeast Augmented Network Analysis (YANA) approach and test it with the X-linked spinal muscular atrophy (SMA) disease gene UBA1. First, we express UBA1 and a mutant variant in fission yeast and use high-throughput methods to identify fission yeast genetic modifiers of UBA1. Second, we analyze available protein-protein interaction network databases in both fission yeast and human to construct UBA1 genetic networks. Third, from these networks we identified potential therapeutic targets for SMA. Finally, we validate one of these targets in a vertebrate (zebrafish) SMA model. This study demonstrates the power of combining synthetic and chemical genetics with a simple model system to identify human disease gene networks that can be exploited for treating human diseases.


2013 ◽  
Vol 32 (1) ◽  
pp. 195-202 ◽  
Author(s):  
AYAKO KARIYA ◽  
YOSHIAKI TABUCHI ◽  
TATSUYA YUNOKI ◽  
TAKASHI KONDO

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