Unveiling Novel Genes Upregulated by Both Rhbmp2 and Rhbmp7 During
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Molecular Mechanism of ACAD9 in Mitochondrial Respiratory Complex 1 Assembly
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.07.425795; this version posted January 9, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Molecular mechanism of ACAD9 in mitochondrial respiratory complex 1 assembly Chuanwu Xia1, Baoying Lou1, Zhuji Fu1, Al-Walid Mohsen2, Jerry Vockley2, and Jung-Ja P. Kim1 1Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, 53226, USA 2Department of Pediatrics, University of Pittsburgh School of Medicine, University of Pittsburgh, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, PA 15224, USA Abstract ACAD9 belongs to the acyl-CoA dehydrogenase family, which catalyzes the α-β dehydrogenation of fatty acyl-CoA thioesters. Thus, it is involved in fatty acid β-oxidation (FAO). However, it is now known that the primary function of ACAD9 is as an essential chaperone for mitochondrial respiratory complex 1 assembly. ACAD9 interacts with ECSIT and NDUFAF1, forming the mitochondrial complex 1 assembly (MCIA) complex. Although the role of MCIA in the complex 1 assembly pathway is well studied, little is known about the molecular mechanism of the interactions among these three assembly factors. Our current studies reveal that when ECSIT interacts with ACAD9, the flavoenzyme loses the FAD cofactor and consequently loses its FAO activity, demonstrating that the two roles of ACAD9 are not compatible. ACAD9 binds to the carboxy-terminal half (C-ECSIT), and NDUFAF1 binds to the amino-terminal half of ECSIT. Although the binary complex of ACAD9 with ECSIT or with C-ECSIT is unstable and aggregates easily, the ternary complex of ACAD9-ECSIT-NDUFAF1 (i.e., the MCIA complex) is soluble and extremely stable. -
Single Cell Transcriptomics Reveal Temporal Dynamics of Critical Regulators of Germ Cell Fate During Mouse Sex Determination
bioRxiv preprint doi: https://doi.org/10.1101/747279; this version posted November 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Single cell transcriptomics reveal temporal dynamics of critical regulators of germ 2 cell fate during mouse sex determination 3 Authors: Chloé Mayère1,2, Yasmine Neirijnck1,3, Pauline Sararols1, Chris M Rands1, 4 Isabelle Stévant1,2, Françoise Kühne1, Anne-Amandine Chassot3, Marie-Christine 5 Chaboissier3, Emmanouil T. Dermitzakis1,2, Serge Nef1,2,*. 6 Affiliations: 7 1Department of Genetic Medicine and Development, University of Geneva, 1211 Geneva, 8 Switzerland; 9 2iGE3, Institute of Genetics and Genomics of Geneva, University of Geneva, 1211 10 Geneva, Switzerland; 11 3Université Côte d'Azur, CNRS, Inserm, iBV, France; 12 Lead Contact: 13 *Corresponding Author: Serge Nef, 1 rue Michel-Servet CH-1211 Genève 4, 14 [email protected]. + 41 (0)22 379 51 93 15 Running Title: Single cell transcriptomics of germ cells 1 bioRxiv preprint doi: https://doi.org/10.1101/747279; this version posted November 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 16 Abbreviations; 17 AGC: Adrenal Germ Cell 18 GC: Germ cell 19 OGC: Ovarian Germ Cell 20 TGC: Testicular Germ Cell 21 scRNA-seq: Single-cell RNA-Sequencing 22 DEG: Differentially Expressed Gene 23 24 25 Keywords: 26 Single-cell RNA-Sequencing (scRNA-seq), sex determination, ovary, testis, gonocytes, 27 oocytes, prospermatogonia, meiosis, gene regulatory network, germ cells, development, 28 RNA splicing 29 2 bioRxiv preprint doi: https://doi.org/10.1101/747279; this version posted November 2, 2020. -
Transcriptomic Analysis of Pluripotent Stem Cells: Insights Into Health and Disease Jia-Chi Yeo1,2 and Huck-Hui Ng1,2,3,4,5,*
Yeo and Ng Genome Medicine 2011, 3:68 http://genomemedicine.com/content/3/10/68 REVIEW Transcriptomic analysis of pluripotent stem cells: insights into health and disease Jia-Chi Yeo1,2 and Huck-Hui Ng1,2,3,4,5,* Abstract types, termed ‘pluripotency’, allows researchers to study early mammalian development in an artificial setting and Embryonic stem cells (ESCs) and induced pluripotent offers opportunities for regenerative medicine, whereby stem cells (iPSCs) hold tremendous clinical potential ESCs could generate clinically relevant cell types for because of their ability to self-renew, and to tissue repair. However, this same malleability of ESCs dierentiate into all cell types of the body. This unique also renders it a challenge to obtain in vitro differentiation capacity of ESCs and iPSCs to form all cell lineages of ESCs to specific cell types at high efficacy. erefore, is termed pluripotency. While ESCs and iPSCs are harnessing the full potential of ESCs requires an in-depth pluripotent and remarkably similar in appearance, understanding of the factors and mechanisms regulating whether iPSCs truly resemble ESCs at the molecular ESC pluripotency and cell lineage decisions. level is still being debated. Further research is therefore Early studies on ESCs led to the discovery of the core needed to resolve this issue before iPSCs may be safely pluripotency factors Oct4, Sox2 and Nanog [1], and, applied in humans for cell therapy or regenerative increasingly, the use of genome-level screening assays has medicine. Nevertheless, the use of iPSCs as an in vitro revealed new insights by uncovering additional trans- human genetic disease model has been useful in cription factors, transcriptional cofactors and chromatin studying the molecular pathology of complex genetic remodeling complexes involved in the maintenance of diseases, as well as facilitating genetic or drug screens. -
Multifactorial Erβ and NOTCH1 Control of Squamous Differentiation and Cancer
Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks, … , Karine Lefort, G. Paolo Dotto J Clin Invest. 2014;124(5):2260-2276. https://doi.org/10.1172/JCI72718. Research Article Oncology Downmodulation or loss-of-function mutations of the gene encoding NOTCH1 are associated with dysfunctional squamous cell differentiation and development of squamous cell carcinoma (SCC) in skin and internal organs. While NOTCH1 receptor activation has been well characterized, little is known about how NOTCH1 gene transcription is regulated. Using bioinformatics and functional screening approaches, we identified several regulators of the NOTCH1 gene in keratinocytes, with the transcription factors DLX5 and EGR3 and estrogen receptor β (ERβ) directly controlling its expression in differentiation. DLX5 and ERG3 are required for RNA polymerase II (PolII) recruitment to the NOTCH1 locus, while ERβ controls NOTCH1 transcription through RNA PolII pause release. Expression of several identified NOTCH1 regulators, including ERβ, is frequently compromised in skin, head and neck, and lung SCCs and SCC-derived cell lines. Furthermore, a keratinocyte ERβ–dependent program of gene expression is subverted in SCCs from various body sites, and there are consistent differences in mutation and gene-expression signatures of head and neck and lung SCCs in female versus male patients. Experimentally increased ERβ expression or treatment with ERβ agonists inhibited proliferation of SCC cells and promoted NOTCH1 expression and squamous differentiation both in vitro and in mouse xenotransplants. Our data identify a link between transcriptional control of NOTCH1 expression and the estrogen response in keratinocytes, with implications for differentiation therapy of squamous cancer. Find the latest version: https://jci.me/72718/pdf Research article Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks,1,2 Paola Ostano,3 Seung-Hee Jo,1,2 Jun Dai,1,2 Spiro Getsios,4 Piotr Dziunycz,5 Günther F.L. -
The Role of Dlx3 in Gene Regulation in the Mouse Placenta
The role of Dlx3 in gene regulation in the mouse placenta by Li Han This thesis/dissertation document has been electronically approved by the following individuals: Roberson,Mark Stephen (Chairperson) Wolfner,Mariana Federica (Minor Member) Cohen,Paula (Field Appointed Minor Member) Weiss,Robert S. (Field Appointed Minor Member) THE ROLE OF DLX3 IN GENE REGULATION IN THE MOUSE PLACENTA A Dissertation Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Li Han August 2010 © 2010 Li Han THE ROLE OF DLX3 IN GENE REGULATION IN THE MOUSE PLACENTA Li Han, Ph. D. Cornell University 2010 Distal-less 3 (Dlx3) is a homeodomain containing transcription factor that is required for the normal development of the mouse placenta. Moreover in human trophoblasts, DLX3 appears to be a necessary transcriptional regulator of the glycoprotein hormone α subunit gene, a protein subunit of placental-derived chorionic gonadotropin. The aim of my studies described here was to determine the role of Dlx3 in gene regulation within the placenta. My studies initially sought to determine if Dlx3 could interact physically with other transcriptional regulators in placental trophoblast cells and how these protein- protein interactions might influence Dlx3-dependent gene expression. Yeast two- hybrid screens provide evidence that mothers against decapentaplegic homolog 6 (SMAD6) was a binding partner for DLX3. SMAD6 was found to be expressed and nuclear localized in placental trophoblasts and interacted directly with DLX3. Structure-function analysis revealed that this interaction occurred within a DLX3 domain that overlapped the homeobox, a key domain necessary for DLX3 DNA binding. -
KLF2 Induced
UvA-DARE (Digital Academic Repository) The transcription factor KLF2 in vascular biology Boon, R.A. Publication date 2008 Link to publication Citation for published version (APA): Boon, R. A. (2008). The transcription factor KLF2 in vascular biology. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:23 Sep 2021 Supplementary data: Genes induced by KLF2 Dekker et al. LocusLink Accession Gene Sequence Description Fold p-value ID number symbol change (FDR) 6654 AK022099 SOS1 cDNA FLJ12037 fis, clone HEMBB1001921. 100.00 5.9E-09 56999 AF086069 ADAMTS9 full length insert cDNA clone YZ35C05. 100.00 1.2E-09 6672 AF085934 SP100 full length insert cDNA clone YR57D07. 100.00 6.7E-13 9031 AF132602 BAZ1B Williams Syndrome critical region WS25 mRNA, partial sequence. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
Homeobox Gene Expression Profile in Human Hematopoietic Multipotent
Leukemia (2003) 17, 1157–1163 & 2003 Nature Publishing Group All rights reserved 0887-6924/03 $25.00 www.nature.com/leu Homeobox gene expression profile in human hematopoietic multipotent stem cells and T-cell progenitors: implications for human T-cell development T Taghon1, K Thys1, M De Smedt1, F Weerkamp2, FJT Staal2, J Plum1 and G Leclercq1 1Department of Clinical Chemistry, Microbiology and Immunology, Ghent University Hospital, Ghent, Belgium; and 2Department of Immunology, Erasmus Medical Center, Rotterdam, The Netherlands Class I homeobox (HOX) genes comprise a large family of implicated in this transformation proces.14 The HOX-C locus transcription factors that have been implicated in normal and has been primarily implicated in lymphomas.15 malignant hematopoiesis. However, data on their expression or function during T-cell development is limited. Using degener- Hematopoietic cells are derived from stem cells that reside in ated RT-PCR and Affymetrix microarray analysis, we analyzed fetal liver (FL) in the embryo and in the adult bone marrow the expression pattern of this gene family in human multipotent (ABM), which have the unique ability to self-renew and thereby stem cells from fetal liver (FL) and adult bone marrow (ABM), provide a life-long supply of blood cells. T lymphocytes are a and in T-cell progenitors from child thymus. We show that FL specific type of hematopoietic cells that play a major role in the and ABM stem cells are similar in terms of HOX gene immune system. They develop through a well-defined order of expression, but significant differences were observed between differentiation steps in the thymus.16 Several transcription these two cell types and child thymocytes. -
¬LACZ-REPORTER MAPPING of Dlx5/6 EXPRESSION AND
Received: 26 December 2019 Revised: 10 May 2020 Accepted: 11 May 2020 DOI: 10.1002/cne.24952 RESEARCH ARTICLE LacZ-reporter mapping of Dlx5/6 expression and genoarchitectural analysis of the postnatal mouse prethalamus Luis Puelles1 | Carmen Diaz2 | Thorsten Stühmer3 | José L. Ferran1 | Margaret Martínez-de la Torre1 | John L. R. Rubenstein3 1Department of Human Anatomy and Psychobiology and IMIB-Arrixaca Institute, Abstract University of Murcia, Murcia, Spain We present here a thorough and complete analysis of mouse P0-P140 prethalamic 2 Department of Medical Sciences, School of histogenetic subdivisions and corresponding nuclear derivatives, in the context of Medicine and Institute for Research in Neurological Disabilities, University of Castilla- local tract landmarks. The study used as fundamental material brains from a transgenic La Mancha, Albacete, Spain mouse line that expresses LacZ under the control of an intragenic enhancer of Dlx5 3Nina Ireland Laboratory of Developmental Neurobiology, Department of Psychiatry, and Dlx6 (Dlx5/6-LacZ). Subtle shadings of LacZ signal, jointly with pan-DLX immu- UCSF Medical School, San Francisco, noreaction, and several other ancillary protein or RNA markers, including Calb2 and California Nkx2.2 ISH (for the prethalamic eminence, and derivatives of the rostral zona limitans Correspondence shell domain, respectively) were mapped across the prethalamus. The resulting model Luis Puelles, Department of Human Anatomy and Psychobiology, School of Medicine, of the prethalamic region postulates tetrapartite rostrocaudal and dorsoventral subdi- University of Murcia, Murcia 30071, Spain. visions, as well as a tripartite radial stratification, each cell population showing a char- Email: [email protected] acteristic molecular profile. Some novel nuclei are proposed, and some instances of Carmen Díaz, Department of Medical potential tangential cell migration were noted. -
Variable Clinical Expression in Patients with a Germline MEN1 Disease Gene Mutation: Clues to a Genotype–Phenotype Correlation
CLINICS 2012;67(S1):49-56 DOI:10.6061/clinics/2012(Sup01)10 REVIEW Variable clinical expression in patients with a germline MEN1 disease gene mutation: clues to a genotype–phenotype correlation Cornelis J. Lips,I Koen M. Dreijerink,I Jo W. Ho¨ ppenerII I University Medical Center Utrecht, Department of Internal Medicine & Endocrinology, Utrecht, The Netherlands. II University Medical Center Utrecht, Department of Metabolic & Endocrine Diseases, Utrecht, The Netherlands. Multiple endocrine neoplasia type 1 is an inherited endocrine tumor syndrome, predominantly characterized by tumors of the parathyroid glands, gastroenteropancreatic tumors, pituitary adenomas, adrenal adenomas, and neuroendocrine tumors of the thymus, lungs or stomach. Multiple endocrine neoplasia type 1 is caused by germline mutations of the multiple endocrine neoplasia type 1 tumor suppressor gene. The initial germline mutation, loss of the wild-type allele, and modifying genetic and possibly epigenetic and environmental events eventually result in multiple endocrine neoplasia type 1 tumors. Our understanding of the function of the multiple endocrine neoplasia type 1 gene product, menin, has increased significantly over the years. However, to date, no clear genotype– phenotype correlation has been established. In this review we discuss reports on exceptional clinical presentations of multiple endocrine neoplasia type 1, which may provide more insight into the pathogenesis of this disorder and offer clues for a possible genotype–phenotype correlation. KEYWORDS: Multiple Endocrine Neoplasia type 1; MEN1; Menin; Genotype–Phenotype Correlation; Clinical Expression. Lips CJ, Dreijerink KM, Ho¨ ppener JW. Variable clinical expression in patients with a germline MEN1 disease gene mutation: clues to a genotype– phenotype correlation. Clinics. 2012;67(S1):49-56. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Angiogenic Patterning by STEEL, an Endothelial-Enriched Long
Angiogenic patterning by STEEL, an endothelial- enriched long noncoding RNA H. S. Jeffrey Mana,b, Aravin N. Sukumara,b, Gabrielle C. Lamc,d, Paul J. Turgeonb,e, Matthew S. Yanb,f, Kyung Ha Kub,e, Michelle K. Dubinskya,b, J. J. David Hob,f, Jenny Jing Wangb,e, Sunit Dasg,h, Nora Mitchelli, Peter Oettgeni, Michael V. Seftonc,d,j, and Philip A. Marsdena,b,e,f,1 aInstitute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada; bKeenan Research Centre for Biomedical Science in the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, University of Toronto, Toronto, ON M5B 1T8, Canada; cDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E2, Canada; dInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada; eDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada; fDepartment of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada; gArthur and Sonia Labatt Brain Tumour Research Institute, Hospital for SickKids, University of Toronto, Toronto, ON M5G 1X8, Canada; hDivision of Neurosurgery and Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, University of Toronto, Toronto, ON M5B 1W8, Canada; iDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115; and jDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON M5S 3E5, Canada Edited by Napoleone Ferrara, University of California, San Diego, La Jolla, CA, and approved January 24, 2018 (received for review August 28, 2017) Endothelial cell (EC)-enriched protein coding genes, such as endothelial formation in vitro and blood vessel formation in vivo.