Gene expression of conditioned locomotion and context-specific locomotor sensitization controlled by morphine-associated environment

2011 ◽  
Vol 216 (1) ◽  
pp. 321-331 ◽  
Author(s):  
Jing Liang ◽  
Ji-Huan Chen ◽  
Xiao-Hong Chen ◽  
Yong-Hua Peng ◽  
Xi-Geng Zheng
Author(s):  
Olga Lazareva ◽  
Jan Baumbach ◽  
Markus List ◽  
David B Blumenthal

Abstract In network and systems medicine, active module identification methods (AMIMs) are widely used for discovering candidate molecular disease mechanisms. To this end, AMIMs combine network analysis algorithms with molecular profiling data, most commonly, by projecting gene expression data onto generic protein–protein interaction (PPI) networks. Although active module identification has led to various novel insights into complex diseases, there is increasing awareness in the field that the combination of gene expression data and PPI network is problematic because up-to-date PPI networks have a very small diameter and are subject to both technical and literature bias. In this paper, we report the results of an extensive study where we analyzed for the first time whether widely used AMIMs really benefit from using PPI networks. Our results clearly show that, except for the recently proposed AMIM DOMINO, the tested AMIMs do not produce biologically more meaningful candidate disease modules on widely used PPI networks than on random networks with the same node degrees. AMIMs hence mainly learn from the node degrees and mostly fail to exploit the biological knowledge encoded in the edges of the PPI networks. This has far-reaching consequences for the field of active module identification. In particular, we suggest that novel algorithms are needed which overcome the degree bias of most existing AMIMs and/or work with customized, context-specific networks instead of generic PPI networks.


2021 ◽  
Vol 27 (Supplement_1) ◽  
pp. S9-S10
Author(s):  
Brooklyn McGrew ◽  
Aman Shrivastava ◽  
Philip Fernandes ◽  
Lubaina Ehsan ◽  
Yash Sharma ◽  
...  

Abstract Background Candidate markers for Crohn’s Disease (CD) may be identified via gene expression-based construction of metabolic networks (MN). These can computationally describe gene-protein-reaction associations for entire tissues and also predict the flux of reactions (rate of turnover of specific molecules via a metabolic pathway). Recon3D is the most comprehensive human MN to date. We used publicly available CD transcriptomic data along with Recon3D to identify metabolites as potential diagnostic and prognostic biomarkers. Methods Terminal ileal gene expression profiles (36,372 genes; 218 CD. 42 controls) from the RISK cohort (Risk Stratification and Identification of Immunogenetic and Microbial Markers of Rapid Disease Progression in Children with Crohn’s Disease) and their transcriptomic abundances were used. Recon3D was pruned to only include RISK dataset transcripts which determined metabolic reaction linkage with transcriptionally active genes. Flux balance analysis (FBA) was then run using RiPTiDe with context specific transcriptomic data to further constrain genes (Figure 1). RiPTiDe was independently run on transcriptomic data from both CD and controls. From the pruned and constricted MN obtained, reactions were extracted for further analysis. Results After applying the necessary constraints to modify Recon3D, 527 CD and 537 control reactions were obtained. Reaction comparison with a publicly available list of healthy small intestinal epithelial reactions (n=1282) showed an overlap of 80 CD and 84 control reactions. These were then further grouped based on their metabolic pathways. RiPTiDe identified context specific metabolic pathway activity without supervision and the percentage of forward, backward, and balanced reactions for each metabolic pathway (Figure 2). The metabolite concentrations in the small intestine was altered among CD patients. Notably, the citric acid cycle and malate-aspartate shuttle were affected, highlighting changes in mitochondrial metabolic pathways. This is illustrated by changes in the number of reactions at equilibrium between CD and control. Conclusions The results are relevant as cytosolic acetyl-CoA is needed for fatty acid synthesis and is obtained by removing citrate from the citric acid cycle. An intermediate removal from the cycle has significant cataplerotic effects. The malate-aspartate shuttle also allows electrons to move across the impermeable membrane in the mitochondria (fatty acid synthesis location). These findings are reported by previously published studies where gene expression for fatty acid synthesis is altered in CD patients along with mitochondrial metabolic pathway changes, resulting in altered cell homeostasis. In-depth analysis is currently underway with our work supporting the utility of potential metabolic biomarkers for CD diagnosis, management and improved care.


2017 ◽  
Vol 114 (25) ◽  
pp. E4914-E4923 ◽  
Author(s):  
Zhana Duren ◽  
Xi Chen ◽  
Rui Jiang ◽  
Yong Wang ◽  
Wing Hung Wong

The rapid increase of genome-wide datasets on gene expression, chromatin states, and transcription factor (TF) binding locations offers an exciting opportunity to interpret the information encoded in genomes and epigenomes. This task can be challenging as it requires joint modeling of context-specific activation of cis-regulatory elements (REs) and the effects on transcription of associated regulatory factors. To meet this challenge, we propose a statistical approach based on paired expression and chromatin accessibility (PECA) data across diverse cellular contexts. In our approach, we model (i) the localization to REs of chromatin regulators (CRs) based on their interaction with sequence-specific TFs, (ii) the activation of REs due to CRs that are localized to them, and (iii) the effect of TFs bound to activated REs on the transcription of target genes (TGs). The transcriptional regulatory network inferred by PECA provides a detailed view of how trans- and cis-regulatory elements work together to affect gene expression in a context-specific manner. We illustrate the feasibility of this approach by analyzing paired expression and accessibility data from the mouse Encyclopedia of DNA Elements (ENCODE) and explore various applications of the resulting model.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 365-365 ◽  
Author(s):  
Valerie M. Jansen ◽  
Shaji Ramachandran ◽  
Aurelie Desgardin ◽  
Jin He ◽  
Vishwas Parekh ◽  
...  

Abstract Binding of EKLF to the proximal promoter CACC motif is essential for high-level tissue-specific β-globin gene expression. More recent studies have demonstrated that EKLF regulates expression of other erythroid-specific genes, suggesting a broad role for EKLF in co-ordinating gene transcription in differentiating erythroblasts. Given these observations, we hypothesized that EKLF may play a role in synchronizing α- and β-globin gene expression. Supporting this model, studies of fetal erythroblasts derived from EKLF-null embryos revealed a 3-fold reduction in murine α-globin gene expression in fetal erythroblasts when compared to wild type littermate controls. A similar reduction in primary α-globin RNA transcripts was observed in these studies. To further examine the molecular consequences of EKLF function at the α- and β-globin genes in vivo, we utilized an erythroid cell line derived from EKLF null fetal liver cells. We have demonstrated previously that introduction into these cells of the wildtype EKLF cDNA, fused in frame with a mutant estrogen response element results in tamoxifen-dependent rescue of β-globin gene expression. Consistent with our observations in primary erythroblasts, α-globin gene expression is present in the absence of functional EKLF. However, with tamoxifen induction, we observed a 3–5 fold increase in α-globin gene transcription. Interestingly, the kinetics of the changes in transcription of the α- and β-gene transcripts were similar. Enhancement in α-gene transcription was associated with EKLF binding at the α- and β-globin promoters as determined by a quantitative chromatin immunoprecipitation (ChIP) assay. Interestingly, maximal EKLF binding and α-gene transcription was observed within 2 hours of tamoxifen induction. We hypothesized that the role of EKLF may differ function at the promoters, given that a basal level of α-globin gene expression occurs in absence of EKLF binding. Supporting this hypothesis, we observed sequential recruitment of p45NF-E2, RNA polymerase II (Pol II) and the co-activator CBP to the β-promoter with tamoxifen induction. No change in GATA-1 binding was observed. In contrast, p45NF-E2 does not bind to the α-promoter and the kinetics of GATA-1 and PolII association is unchanged after tamoxifen induction. Taken together, our results demonstrate that EKLF regulates the co-ordinate high-level transcription of the α- and β-globin genes, binding in a kinetically identical manner to the gene promoters. However, the effects of EKLF on transacting factor recruitment (and chromatin modification) differ between the promoters, consistent with the idea that EKLF acts in a context-specific manner to modulate gene transcription.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 843-843
Author(s):  
Jeffrey A. Magee ◽  
Shaina Porter ◽  
Andrew Cluster

Abstract Much progress has been made toward identifying the mutations that cause human acute myeloid leukemia (AML), and these studies have shown that pediatric and adult AML are often caused by different mutations. Genetic differences between pediatric and adult AML may underlie differences in outcomes and necessitate different treatment strategies, yet we have few insights into why these differences occur. One possibility is that the mechanisms that regulate normal hematopoiesis change with age, and mutations therefore have age-specific phenotypes in pre-leukemic progenitors. To fully understand how AML evolves in children and adults, and how targeting individual pathways might impact cell physiology at different ages, it is important to understand how somatic mutations interface with the normal, temporally dynamic programs that regulate hematopoiesis. The FLT3-Internal Tandem Duplication (FLT3-ITD) mutation is common in adult AML but rare in early childhood AML (30-40% of adult AML, 5-10% of AML in children <10 years old, <1% of infant AML). FLT3-ITD mutations occur late in the clonal evolution of AML cells, and they are thought to drive cell proliferation and survival. In mice, FLT3-ITD has been shown to deplete adult hematopoietic stem cells (HSCs) by promoting myeloid differentiation. This may explain why the mutation occurs late in clonal evolution - HSCs must first acquire mutations that enhance self-renewal - but it also raises the question of why infant HSCs, which have an inherently higher self-renewal capacity, do not give rise to FLT3-ITD positive AML more often than is observed. We used FLT3-ITD knock-in mice to test whether FLT3-ITD has developmental context specific effects on hematopoiesis. In adult mice, FLT3-ITD depleted the HSC pool and expanded multipotent progenitor (MPP) and myeloid progenitor populations consistent with prior studies. In fetal mice, FLT3-ITD had no effect on HSC or MPP numbers, HSC function (as determined by limit dilution transplants) or myelopoiesis. FLT3-ITD did not affect hematopoiesis until shortly after birth. These temporal differences were evident even in the presence of cooperating Runx1 mutations. To understand why fetal and adult progenitors responded differently to FLT3-ITD, we characterized signal transduction and gene expression in fetal, neonatal and adult progenitors. We found that STAT5 was activated by FLT3-ITD at all stages of development, but MAPK was activated only in post-natal progenitors concordant with the onset of HSC and myeloid phenotypes. To our surprise, conditional Stat5a/b deletion exacerbated the HSC depletion and myeloid expansion phenotypes of adult FLT3-ITD mice rather than rescuing them. This suggests that STAT5 helps to maintain adult, FLT3-ITD mutant progenitors in an undifferentiated state even as other effectors promote myeloid differentiation. We next used microarrays to test whether FLT3-ITD has age-specific effects on gene expression in HSCs and MPPs, and to identify normal temporal changes in gene expression that may modulate the FLT3-ITD phenotypes. These studies made several key points: 1) In wild type HSCs, most fetal-specific genes were inactivated and most adult-specific genes were activated between birth and P14. This transition was earlier than prior studies have suggested, and it correlated with the age at which FLT3-ITD induced HSC depletion and myeloid expansion. 2) FLT3-ITD did not alter gene expression until after birth, coincident with onset of the HSC depletion and myeloid expansion phenotypes. 3) FLT3-ITD target genes were more differentially expressed in MPPs than in HSCs, consistent with recent data suggesting that MPPs are a cell of origin for FLT3-ITD driven AML. 4) Most, but not all, FLT3-ITD target genes were STAT5 dependent. Our analyses have identified novel, adult-specific candidate effectors of FLT3-ITD. Moreover, our findings raise the question of whether fetal genetic programs can suppress FLT3-ITD driven leukemogenesis, and we have begun to address this question with gain of function models. AML cells may exhibit "context addiction" (i.e.a sustained requirement for normal adult gene products and a toxic response to fetal gene products), that could be exploited therapeutically. Disclosures No relevant conflicts of interest to declare.


2011 ◽  
Vol 43 (5) ◽  
pp. 798-810 ◽  
Author(s):  
Shuet Theng Lee ◽  
Zhimei Li ◽  
Zhenlong Wu ◽  
Meiyee Aau ◽  
Peiyong Guan ◽  
...  

2011 ◽  
Vol 28 (2) ◽  
pp. 214-221 ◽  
Author(s):  
Geert Geeven ◽  
Ronald E. van Kesteren ◽  
August B. Smit ◽  
Mathisca C. M. de Gunst

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