Post-mortem molecular profiling of three psychiatric disordersBACKGROUND: Psychiatric disorders are multigenic diseases with complex etiology that contribute significantly to human morbidity and mortality. Although clinically distinct, several disorders share many symptoms, suggesting common underlying molecular changes exist that may implicate important regulators of pathogenesis and provide new therapeutic targets. METHODS: We performed RNA sequencing on tissue from the anterior cingulate cortex, dorsolateral prefrontal cortex, and nucleus accumbens from three groups of 24 patients each diagnosed with schizophrenia, bipolar disorder, or major depressive disorder, and from 24 control subjects. We identified differentially expressed genes and validated the results in an independent cohort. Anterior cingulate cortex samples were also subjected to metabolomic analysis. ChIP-seq data were used to characterize binding of the transcription factor EGR1. RESULTS: We compared molecular signatures across the three brain regions and disorders in the transcriptomes of post-mortem human brain samples. The most significant disease-related differences were in the anterior cingulate cortex of schizophrenia samples compared to controls. Transcriptional changes were assessed in an independent cohort, revealing the transcription factor EGR1 as significantly down-regulated in both cohorts and as a potential regulator of broader transcription changes observed in schizophrenia patients. Additionally, broad down-regulation of genes specific to neurons and concordant up-regulation of genes specific to astrocytes was observed in schizophrenia and bipolar disorder patients relative to controls. Metabolomic profiling identified disruption of GABA levels in schizophrenia patients. CONCLUSIONS: We provide a comprehensive post-mortem transcriptome profile of three psychiatric disorders across three brain regions. We highlight a high-confidence set of independently validated genes differentially expressed between schizophrenia and control patients in the anterior cingulate cortex and integrate transcriptional changes with untargeted metabolite profiling.
Genomic regulation of invasion by STAT3 in triple negative breast cancer// Joy M. McDaniel 1, 2 , Katherine E. Varley 3 , Jason Gertz 3 , Daniel S. Savic 1 , Brian S. Roberts 1 , Sarah K. Bailey 4 , Lalita A. Shevde 4, 6 , Ryne C. Ramaker 1, 7 , Brittany N. Lasseigne 1 , Marie K. Kirby 1 , Kimberly M. Newberry 1 , E. Christopher Partridge 1 , Angela L. Jones 1 , Braden Boone 1 , Shawn E. Levy 1 , Patsy G. Oliver 5 , Katherine C. Sexton 6 , William E. Grizzle 6 , Andres Forero 6 , Donald J. Buchsbaum 5 , Sara J. Cooper 1 , Richard M. Myers 1 1 HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA 2 The University of Alabama in Huntsville, Huntsville, AL 35899, USA 3 Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, 84112, USA 4 Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA 5 Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA 6 University of Alabama at Birmingham Comprehensive Cancer Center, Birmingham, AL 35294, USA 7 Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, 35294, USA Correspondence to: Richard M. Myers, email: rmyers@hudsonalpha.org Keywords: TNBC, STAT3, ChIP-seq, RNA-seq, invasion Received: August 15, 2016 Accepted: November 14, 2016 Published: December 24, 2016 ABSTRACT Breast cancer is a heterogeneous disease comprised of four molecular subtypes defined by whether the tumor-originating cells are luminal or basal epithelial cells. Breast cancers arising from the luminal mammary duct often express estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth receptor 2 (HER2). Tumors expressing ER and/or PR are treated with anti-hormonal therapies, while tumors overexpressing HER2 are targeted with monoclonal antibodies. Immunohistochemical detection of ER, PR, and HER2 receptors/proteins is a critical step in breast cancer diagnosis and guided treatment. Breast tumors that do not express these proteins are known as “triple negative breast cancer” (TNBC) and are typically basal-like. TNBCs are the most aggressive subtype, with the highest mortality rates and no targeted therapy, so there is a pressing need to identify important TNBC tumor regulators. The signal transducer and activator of transcription 3 (STAT3) transcription factor has been previously implicated as a constitutively active oncogene in TNBC. However, its direct regulatory gene targets and tumorigenic properties have not been well characterized. By integrating RNA-seq and ChIP-seq data from 2 TNBC tumors and 5 cell lines, we discovered novel gene signatures directly regulated by STAT3 that were enriched for processes involving inflammation, immunity, and invasion in TNBC. Functional analysis revealed that STAT3 has a key role regulating invasion and metastasis, a characteristic often associated with TNBC. Our findings suggest therapies targeting STAT3 may be important for preventing TNBC metastasis.