Orphan Nuclear Receptors: Current Perspectives
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Additional Methods
Additional Methods Cell Expression Profiles The tissue-dependent gene expression dataset from the Genome Novartis Foundation contains 32 healthy major tissues, and 47 tumour samples and cell lines. The custom- designed whole-genome gene expression microarrays used on each sample targets 44775 human mRNA transcripts. Previous analysis of this dataset identified many chromo- somal regions of correlated transcription that are under the control of both tissue and parental allele-specific expression. The expression levels of TF genes across tissue sam- ples are observed to be lower than non-TF genes. This is coherent with the mechanistic explanation that the effect of a single TF molecule is amplified by transcribing many copies of mRNA from a target gene. Across all samples, the proportion of TFs rel- ative to all expressed genes is remarkably stable at ∼ 6%. In the bootstrap test for highly predictive CRMs, we resampled from this set of TFs to generate the bootstrap replicates. High variance in gene expression profiles are observed between replicates for samples with more heterogeneous composition. Therefore, we treat each replicate as an independent sample in our analysis. When analyzing expression variation in a single sample, we found that a Gaussian distributional assumption for gene expression is more suitable compared to other distributions. Smoothing and Model Fitting Since gene expression response by the target gene varies over different TF expression values in a smooth fashion, a curved function is needed to fit our gene expression data. For additive models, the partial response of the target gene to the expression of each TF is described by a smooth function. -
Systematic Comparison of Sea Urchin and Sea Star Developmental Gene Regulatory Networks Explains How Novelty Is Incorporated in Early Development
ARTICLE https://doi.org/10.1038/s41467-020-20023-4 OPEN Systematic comparison of sea urchin and sea star developmental gene regulatory networks explains how novelty is incorporated in early development Gregory A. Cary 1,3,5, Brenna S. McCauley1,4,5, Olga Zueva1, Joseph Pattinato1, William Longabaugh2 & ✉ Veronica F. Hinman 1 1234567890():,; The extensive array of morphological diversity among animal taxa represents the product of millions of years of evolution. Morphology is the output of development, therefore phenotypic evolution arises from changes to the topology of the gene regulatory networks (GRNs) that control the highly coordinated process of embryogenesis. A particular challenge in under- standing the origins of animal diversity lies in determining how GRNs incorporate novelty while preserving the overall stability of the network, and hence, embryonic viability. Here we assemble a comprehensive GRN for endomesoderm specification in the sea star from zygote through gastrulation that corresponds to the GRN for sea urchin development of equivalent territories and stages. Comparison of the GRNs identifies how novelty is incorporated in early development. We show how the GRN is resilient to the introduction of a transcription factor, pmar1, the inclusion of which leads to a switch between two stable modes of Delta-Notch signaling. Signaling pathways can function in multiple modes and we propose that GRN changes that lead to switches between modes may be a common evolutionary mechanism for changes in embryogenesis. Our data additionally proposes a model in which evolutionarily conserved network motifs, or kernels, may function throughout development to stabilize these signaling transitions. 1 Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Transcription Profiles of Age-At-Maturity-Associated Genes Suggest Cell Fate Commitment Regulation As a Key Factor in the Atlant
INVESTIGATION Transcription Profiles of Age-at-Maturity- Associated Genes Suggest Cell Fate Commitment Regulation as a Key Factor in the Atlantic Salmon Maturation Process Johanna Kurko,*,† Paul V. Debes,*,† Andrew H. House,*,† Tutku Aykanat,*,† Jaakko Erkinaro,‡ and Craig R. Primmer*,†,1 *Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland, 00014, †Institute of Biotechnology, University of Helsinki, Helsinki, Finland, 00014, and ‡Natural Resources Institute Finland (Luke), Oulu, Finland, 90014 ORCID IDs: 0000-0002-4598-116X (J.K.); 0000-0003-4491-9564 (P.V.D.); 0000-0001-8705-0358 (A.H.H.); 0000-0002-4825-0231 (T.A.); 0000-0002-7843-0364 (J.E.); 0000-0002-3687-8435 (C.R.P.) ABSTRACT Despite recent taxonomic diversification in studies linking genotype with phenotype, KEYWORDS follow-up studies aimed at understanding the molecular processes of such genotype-phenotype Atlantic salmon associations remain rare. The age at which an individual reaches sexual maturity is an important fitness maturation trait in many wild species. However, the molecular mechanisms regulating maturation timing process processes remain obscure. A recent genome-wide association study in Atlantic salmon (Salmo salar) vgll3 identified large-effect age-at-maturity-associated chromosomal regions including genes vgll3, akap11 mRNA and six6, which have roles in adipogenesis, spermatogenesis and the hypothalamic-pituitary-gonadal expression (HPG) axis, respectively. Here, we determine expression patterns of these genes during salmon de- cell fate velopment and their potential molecular partners and pathways. Using Nanostring transcription pro- regulation filing technology, we show development- and tissue-specific mRNA expression patterns for vgll3, akap11 and six6. Correlated expression levels of vgll3 and akap11, which have adjacent chromosomal location, suggests they may have shared regulation. -
Mouse Anti-Human Testicular Receptor 4
Catalog Clonality, clone Reactive Reg. Product Name Quantity Applications Number (isotype) species Status mAb clone H0107B WB, ELISA, 434700 Mouse anti-human TR4 100 µg Hu, Ms, Rt RUO (Ms IgG2a) IP, IHC Mouse Anti-Human Testicular Receptor 4 Description Testicular receptor 4 (TR4, TAK1; NR2C2) is a member of the orphan nuclear receptor family. TR4 was originally cloned from lymphoblastoma Raji cells or mouse brain cDNA library. No ligand has been reported. Northern blot shows TR4 is transcribed as a 9kb mRNA in many tissues and as a 2.8kb mRNA in testis, mainly in spermatocytes. TR4 has two isoforms called TR4α1 and TR4-α2, which differ in 19 amino acids coded by two separate exons. Both products translated from 9kb transcript are ubiquitously expressed. Since TR4 binds to the same elements for the RAR-RXR or TR-RXR heterodimers, TR4 may have an inhibitory affect for retinoic-acid mediated transactivation. Nomenclature NR2C2 Genbank L27586 Origin Produced in BALB/c mouse ascites after inoculation with hybridoma of mouse myeloma cells (NS-1) and spleen cells derived from a BALB/c mouse immunized with Baculovirus-expressed recombinant human TR4 (23-52 aa). Specificity This antibody specifically recognizes human TR4 and cross reacts with mouse and rat TR4. Purification Ammonium sulfate fractionation Formulation Concentration is 1 mg/mL in physiological saline with 0.1% sodium azide as a preservative. Application Recommended Concentration* Western Blot 2 μg/mL Non reducing Western Blot Not tested ELISA 0.1 μg/mL Immunoprecipitation Determine by use Electrophoretic Mobility Shift Assay Not tested Chromatin Immunoprecipitation Not tested Immunohistochemistry 10 μg/mL *In order to obtain the best results, optimal working dilutions should be determined by each individual user. -
Role of Nuclear Receptors in Central Nervous System Development and Associated Diseases
Role of Nuclear Receptors in Central Nervous System Development and Associated Diseases The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Olivares, Ana Maria, Oscar Andrés Moreno-Ramos, and Neena B. Haider. 2015. “Role of Nuclear Receptors in Central Nervous System Development and Associated Diseases.” Journal of Experimental Neuroscience 9 (Suppl 2): 93-121. doi:10.4137/JEN.S25480. http:// dx.doi.org/10.4137/JEN.S25480. Published Version doi:10.4137/JEN.S25480 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:27320246 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Journal name: Journal of Experimental Neuroscience Journal type: Review Year: 2015 Volume: 9(S2) Role of Nuclear Receptors in Central Nervous System Running head verso: Olivares et al Development and Associated Diseases Running head recto: Nuclear receptors development and associated diseases Supplementary Issue: Molecular and Cellular Mechanisms of Neurodegeneration Ana Maria Olivares1, Oscar Andrés Moreno-Ramos2 and Neena B. Haider1 1Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA. 2Departamento de Ciencias Biológicas, Facultad de Ciencias, Universidad de los Andes, Bogotá, Colombia. ABSTRACT: The nuclear hormone receptor (NHR) superfamily is composed of a wide range of receptors involved in a myriad of important biological processes, including development, growth, metabolism, and maintenance. -
Cops5 Safeguards Genomic Stability of Embryonic Stem Cells Through Regulating Cellular Metabolism and DNA Repair
Cops5 safeguards genomic stability of embryonic stem cells through regulating cellular metabolism and DNA repair Peng Lia, Lulu Gaoa, Tongxi Cuia, Weiyu Zhanga, Zixin Zhaoa, and Lingyi Chena,1 aState Key Laboratory of Medicinal Chemical Biology, Collaborative Innovation Center of Tianjin for Medical Epigenetics, Collaborative Innovation Center for Biotherapy, Tianjin Key Laboratory of Protein Sciences, National Demonstration Center for Experimental Biology Education and College of Life Sciences, Nankai University, 300071 Tianjin, China Edited by Janet Rossant, Hospital for Sick Children, University of Toronto, Toronto, Canada, and approved December 24, 2019 (received for review August 29, 2019) The highly conserved COP9 signalosome (CSN), composed of 8 transiently expressed in about 5% of ESCs at a given time, subunits (Cops1 to Cops8), has been implicated in pluripotency promotes rapid telomere elongation by telomere recombination maintenance of human embryonic stem cells (ESCs). Yet, the mech- and regulates genomic stability (11). Induced by genotoxic stress, anism for the CSN to regulate pluripotency remains elusive. We Filia stimulates the PARP1 activity and relocates from centro- previously showed that Cops2, independent of the CSN, is essential somes to DNA damage sites and mitochondria to regulate DDR for the pluripotency maintenance of mouse ESCs. In this study, we and apoptosis (12). Sall4, a pluripotency transcription factor, set out to investigate how Cops5 and Cops8 regulate ESC differ- facilitates the ataxia telangiectasia-mutated activation in re- entiation and tried to establish Cops5 and Cops8 knockout (KO) sponse to DSBs (13). To minimize the ROS-induced genomic ESC lines by CRISPR/Cas9. To our surprise, no Cops5 KO ESC clones DNA damage, ESCs produce lower levels of mitochondrial ROS were identified out of 127 clones, while three Cops8 KO ESC lines and express higher levels of antioxidants than differentiated cells were established out of 70 clones. -
Sex Determination: a 'Window' of DAX1 Activity
Review TRENDS in Endocrinology and Metabolism Vol.15 No.3 April 2004 Sex determination: a ‘window’ of DAX1 activity Louisa M. Ludbrook and Vincent R. Harley Prince Henry’s Institute of Medical Research, PO Box 5152, Clayton, VIC 3168, Australia Traditionally, DAX1 was considered an ‘anti-testis’ gene that are probably important for male sex determination because DAX1 duplications in XY individuals cause have yet to be identified, because some 75% of sex reversal male-to-female sex reversal: dosage-sensitive sex rever- cases remain unexplained genetically [15]. Some progress sal (DSS). In DSS, two active DAX1 genes on one has been made in deciphering the roles and complex X chromosome can abrogate testis formation. By con- relationships of the known sex-determining genes during trast, mutations and deletions of DAX1 cause adrenal gonadogenesis. Here, we describe the emerging role of hypoplasia congenita (AHC). Although AHC patients DAX1 in male testis formation and discuss the possible develop testes, gonadal defects include disorganized molecular mechanisms through which DAX1 regulates testis cords and hypogonadotropic hypogonadism, this pathway. which is not completely restored with gonadotropin or androgen therapy. Recent evidence of XY sex reversal Expression of DAX1 in Dax1-deficient mice strongly supports a role for Dax1 DAX1 RNA expression is restricted to certain tissue types as a ‘pro-testis’ gene. Therefore, perhaps DAX1/Dax1 and is largely coexpressed with SF1, also crucial for both acts within a ‘window’ of activity, outside of which tes- adrenal and gonadal development [16–18]. Based on in tis formation does not occur. Here, we discuss the func- situ hybridization analyses, Sf1 and Dax1 are expressed in tion and possible mechanisms of DAX1 action in male both developing and adult adrenal, gonadal, hypothalamic gonadogenesis. -
Supplemental Figure 1. Recombination Pattern of Six3-Cre in the Adult Retina and Brain
Supplemental Figure 1. Recombination pattern of Six3-cre in the adult retina and brain. The conditional reporter line, R26R, commences expression of β-galactosidase upon Cre-mediated recombination. The recombination pattern of the Six3-cre transgene in the retina on P21 reveals widespread recombination in all layers (A-C). At the retinal margin, areas devoid of recombination are apparent, as depicted by gaps in the X-gal staining pattern in this region (C, arrowheads). Co- immunolabeling using anti-Isl1 and anti-β-galactosidase reveals that most Isll+ cells in the INL co-localize with Six3-cre's lineage (D-F), although several Isl1+ cells are devoid of detectable reporter expression (D-F, arrowheads). At the retinal margin, many more Isl1+ cells devoid of detectable reporter expression are encountered (G-I, arrowheads). The recombination pattern of Six3-cre in the brain of P21 animals reveals widespread recombination in the hypothalamus, septum and striatum (J). Scale bar equals 50 µm in B (applies to B-C), in F (applies to D-F), in I (applies to G-I), and 1mm in J. Supplemental Figure 2. Additional cell marker expression in the Isl1-null retina. Isl1-null retinas display a 71% reduction in the expression of the RGC marker Pou4f1 (B) compared to control (A; average number of Pou4f1+ cells ± standard deviation: controls: 35 ± 7, n=3; Isl1-nulls: 10 ± 2, n=3, p<0.01, Student's t test). A slight 17% increase in the numbers of the horizontal cell marker, Calbindin-28K, in Isl1-null retinas is observed, although this change is not significant (compare C to D; average number of Calbindin-28K+ cells ± standard deviation: controls: 10 ± 2, n=4; Isl1-nulls: 12 ± 1, n=4, p=0.05, Student's t test). -
Brain Region-Dependent Gene Networks Associated with Selective Breeding for Increased Voluntary Wheel-Running Behavior
UC Riverside UC Riverside Previously Published Works Title Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior. Permalink https://escholarship.org/uc/item/8c49g8fd Journal PloS one, 13(8) ISSN 1932-6203 Authors Zhang, Pan Rhodes, Justin S Garland, Theodore et al. Publication Date 2018 DOI 10.1371/journal.pone.0201773 Peer reviewed eScholarship.org Powered by the California Digital Library University of California RESEARCH ARTICLE Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior Pan Zhang1,2, Justin S. Rhodes3,4, Theodore Garland, Jr.5, Sam D. Perez3, Bruce R. Southey2, Sandra L. Rodriguez-Zas2,6,7* 1 Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 2 Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United a1111111111 States of America, 3 Beckman Institute for Advanced Science and Technology, Urbana, IL, United States of a1111111111 America, 4 Center for Nutrition, Learning and Memory, University of Illinois at Urbana-Champaign, Urbana, a1111111111 IL, United States of America, 5 Department of Evolution, Ecology, and Organismal Biology, University of a1111111111 California, Riverside, CA, United States of America, 6 Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 7 Carle Woese Institute for Genomic Biology, a1111111111 University of Illinois at Urbana-Champaign, Urbana, IL, United States of America * [email protected] OPEN ACCESS Abstract Citation: Zhang P, Rhodes JS, Garland T, Jr., Perez SD, Southey BR, Rodriguez-Zas SL (2018) Brain Mouse lines selectively bred for high voluntary wheel-running behavior are helpful models region-dependent gene networks associated with for uncovering gene networks associated with increased motivation for physical activity and selective breeding for increased voluntary wheel- other reward-dependent behaviors. -
Transcriptional and Post-Transcriptional Regulation of ATP-Binding Cassette Transporter Expression
Transcriptional and Post-transcriptional Regulation of ATP-binding Cassette Transporter Expression by Aparna Chhibber DISSERTATION Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Pharmaceutical Sciences and Pbarmacogenomies in the Copyright 2014 by Aparna Chhibber ii Acknowledgements First and foremost, I would like to thank my advisor, Dr. Deanna Kroetz. More than just a research advisor, Deanna has clearly made it a priority to guide her students to become better scientists, and I am grateful for the countless hours she has spent editing papers, developing presentations, discussing research, and so much more. I would not have made it this far without her support and guidance. My thesis committee has provided valuable advice through the years. Dr. Nadav Ahituv in particular has been a source of support from my first year in the graduate program as my academic advisor, qualifying exam committee chair, and finally thesis committee member. Dr. Kathy Giacomini graciously stepped in as a member of my thesis committee in my 3rd year, and Dr. Steven Brenner provided valuable input as thesis committee member in my 2nd year. My labmates over the past five years have been incredible colleagues and friends. Dr. Svetlana Markova first welcomed me into the lab and taught me numerous laboratory techniques, and has always been willing to act as a sounding board. Michael Martin has been my partner-in-crime in the lab from the beginning, and has made my days in lab fly by. Dr. Yingmei Lui has made the lab run smoothly, and has always been willing to jump in to help me at a moment’s notice.