@article {49608,
	title = {RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder.},
	volume = {19},
	year = {2014},
	month = {2014 Nov},
	pages = {1179-85},
	abstract = {<p>RNA-sequencing (RNA-seq) is a powerful technique to investigate the complexity of gene expression in the human brain. We used RNA-seq to survey the brain transcriptome in high-quality postmortem dorsolateral prefrontal cortex from 11 individuals diagnosed with bipolar disorder (BD) and from 11 age- and gender-matched controls. Deep sequencing was performed, with over 350 million reads per specimen. At a false discovery rate of <5\%, we detected five differentially expressed (DE) genes and 12 DE transcripts, most of which have not been previously implicated in BD. Among these, Prominin 1/CD133 and ATP-binding cassette-sub-family G-member2 (ABCG2) have important roles in neuroplasticity. We also show for the first time differential expression of long noncoding RNAs (lncRNAs) in BD. DE transcripts include those of serine/arginine-rich splicing factor 5 (SRSF5) and regulatory factor X4 (RFX4), which along with lncRNAs have a role in mammalian circadian rhythms. The DE genes were significantly enriched for several Gene Ontology categories. Of these, genes involved with GTPase binding were also enriched for BD-associated SNPs from previous genome-wide association studies, suggesting that differential expression of these genes is not simply a consequence of BD or its treatment. Many of these findings were replicated by microarray in an independent sample of 60 cases and controls. These results highlight common pathways for inherited and non-inherited influences on disease risk that may constitute good targets for novel therapies.</p>},
	keywords = {Adult, Aged, Bipolar Disorder, Circadian Rhythm, Female, Genome-Wide Association Study, GTP Phosphohydrolases, HUMANS, Male, Meta-Analysis as Topic, Microarray Analysis, Middle Aged, Neuronal Plasticity, Polymerase Chain Reaction, Prefrontal Cortex, Principal Component Analysis, Sequence Analysis, RNA, Transcriptome, Young Adult},
	issn = {1476-5578},
	doi = {10.1038/mp.2013.170},
	author = {Akula, N and Barb, J and Jiang, X and Wendland, J R and Choi, K H and Sen, S K and Hou, L and Chen, D T W and Laje, G and Johnson, K and Lipska, B K and Kleinman, J E and Corrada-Bravo, H and Detera-Wadleigh, S and Munson, P J and McMahon, F J}
}
@article {49746,
	title = {Direct targeting of Sec23a by miR-200s influences cancer cell secretome and promotes metastatic colonization.},
	journal = {Nat Med},
	volume = {17},
	year = {2011},
	month = {2011 Sep},
	pages = {1101-8},
	abstract = {<p>Although the role of miR-200s in regulating E-cadherin expression and epithelial-to-mesenchymal transition is well established, their influence on metastatic colonization remains controversial. Here we have used clinical and experimental models of breast cancer metastasis to discover a pro-metastatic role of miR-200s that goes beyond their regulation of E-cadherin and epithelial phenotype. Overexpression of miR-200s is associated with increased risk of metastasis in breast cancer and promotes metastatic colonization in mouse models, phenotypes that cannot be recapitulated by E-cadherin expression alone. Genomic and proteomic analyses revealed global shifts in gene expression upon miR-200 overexpression toward that of highly metastatic cells. miR-200s promote metastatic colonization partly through direct targeting of Sec23a, which mediates secretion of metastasis-suppressive proteins, including Igfbp4 and Tinagl1, as validated by functional and clinical correlation studies. Overall, these findings suggest a pleiotropic role of miR-200s in promoting metastatic colonization by influencing E-cadherin-dependent epithelial traits and Sec23a-mediated tumor cell secretome.</p>},
	keywords = {Animals, Cadherins, Cell Line, Tumor, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, HUMANS, Mass Spectrometry, Mice, Mice, Inbred BALB C, Microarray Analysis, MicroRNAs, Neoplasm Metastasis, Statistics, Nonparametric, Vesicular Transport Proteins},
	issn = {1546-170X},
	doi = {10.1038/nm.2401},
	author = {Korpal, Manav and Ell, Brian J and Buffa, Francesca M and Ibrahim, Toni and Blanco, Mario A and Celi{\`a}-Terrassa, Toni and Mercatali, Laura and Khan, Zia and Goodarzi, Hani and Hua, Yuling and Wei, Yong and Hu, Guohong and Garcia, Benjamin A and Ragoussis, Jiannis and Amadori, Dino and Harris, Adrian L and Kang, Yibin}
}
