Signalling Pathways and Mechanistic Cues Highlighted by Transcriptomic
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FK506-Binding Protein 12.6/1B, a Negative Regulator of [Ca2+], Rescues Memory and Restores Genomic Regulation in the Hippocampus of Aging Rats
This Accepted Manuscript has not been copyedited and formatted. The final version may differ from this version. A link to any extended data will be provided when the final version is posted online. Research Articles: Neurobiology of Disease FK506-Binding Protein 12.6/1b, a negative regulator of [Ca2+], rescues memory and restores genomic regulation in the hippocampus of aging rats John C. Gant1, Eric M. Blalock1, Kuey-Chu Chen1, Inga Kadish2, Olivier Thibault1, Nada M. Porter1 and Philip W. Landfield1 1Department of Pharmacology & Nutritional Sciences, University of Kentucky, Lexington, KY 40536 2Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL 35294 DOI: 10.1523/JNEUROSCI.2234-17.2017 Received: 7 August 2017 Revised: 10 October 2017 Accepted: 24 November 2017 Published: 18 December 2017 Author contributions: J.C.G. and P.W.L. designed research; J.C.G., E.M.B., K.-c.C., and I.K. performed research; J.C.G., E.M.B., K.-c.C., I.K., and P.W.L. analyzed data; J.C.G., E.M.B., O.T., N.M.P., and P.W.L. wrote the paper. Conflict of Interest: The authors declare no competing financial interests. NIH grants AG004542, AG033649, AG052050, AG037868 and McAlpine Foundation for Neuroscience Research Corresponding author: Philip W. Landfield, [email protected], Department of Pharmacology & Nutritional Sciences, University of Kentucky, 800 Rose Street, UKMC MS 307, Lexington, KY 40536 Cite as: J. Neurosci ; 10.1523/JNEUROSCI.2234-17.2017 Alerts: Sign up at www.jneurosci.org/cgi/alerts to receive customized email alerts when the fully formatted version of this article is published. -
Bmpr Encodes a Type I Bone Morphogenetic Protein Receptor That Is Essential for Gastrulation During Mouse Embryogenesis
Downloaded from genesdev.cshlp.org on October 8, 2021 - Published by Cold Spring Harbor Laboratory Press Bmpr encodes a type I bone morphogenetic protein receptor that is essential for gastrulation during mouse embryogenesis Yuji Mishina, ~ Atsushi Suzuki, 2 Naoto Ueno, 2 and Richard R. Behringer ~'3 1Department of Molecular Genetics, The University of Texas, M.D. Anderson Cancer Center, Houston, Texas 77030 USA; ~Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo 060, Japan Bone morphogenetic proteins (BMPs) are secreted proteins that interact with cell-surface receptors and are believed to play a variety of important roles during vertebrate embryogenesis. Bmpr, also known as ALK-3 and Brk-1, encodes a type I transforming growth factor-~ (TGF-[3) family receptor for BMP-2 and BMP-4. Bmpr is expressed ubiquitously during early mouse embryogenesis and in most adult mouse tissues. To study the function of Bmpr during mammalian development, we generated Bmpr-mutant mice. After embryonic day 9.5 (E9.5), no homozygous mutants were recovered from heterozygote matings. Homozygous mutants with morphological defects were first detected at E7.0 and were smaller than normal. Morphological and molecular examination demonstrated that no mesoderm had formed in the mutant embryos. The growth characteristics of homozygous mutant blastocysts cultured in vitro were indistinguishable from those of controls; however, embryonic ectoderm (epiblast) cell proliferation was reduced in all homozygous mutants at E6.5 before morphological abnormalities had become prominent. Teratomas arising from E7.0 mutant embryos contained derivatives from all three germ layers but were smaller and gave rise to fewer mesodermal cell types, such as muscle and cartilage, than controls. -
Transcriptional Events Co-Regulated by Hypoxia and Cold Stresses In
Long et al. BMC Genomics (2015) 16:385 DOI 10.1186/s12864-015-1560-y RESEARCH ARTICLE Open Access Transcriptional events co-regulated by hypoxia and cold stresses in Zebrafish larvae Yong Long1, Junjun Yan1,2, Guili Song1, Xiaohui Li1,2, Xixi Li1,2, Qing Li1* and Zongbin Cui1* Abstract Background: Hypoxia and temperature stress are two major adverse environmental conditions often encountered by fishes. The interaction between hypoxia and temperature stresses has been well documented and oxygen is considered to be the limiting factor for the thermal tolerance of fish. Although both high and low temperature stresses can impair the cardiovascular function and the cross-resistance between hypoxia and heat stress has been found, it is not clear whether hypoxia acclimation can protect fish from cold injury. Results: Pre-acclimation of 96-hpf zebrafish larvae to mild hypoxia (5% O2) significantly improved their resistance to lethal hypoxia (2.5% O2) and increased the survival rate of zebrafish larvae after lethal cold (10°C) exposure. However, pre-acclimation of 96-hpf larvae to cold (18°C) decreased their tolerance to lethal hypoxia although their ability to endure lethal cold increased. RNA-seq analysis identified 132 up-regulated and 41 down-regulated genes upon mild hypoxia exposure. Gene ontology enrichment analyses revealed that genes up-regulated by hypoxia are primarily involved in oxygen transport, oxidation-reduction process, hemoglobin biosynthetic process, erythrocyte development and cellular iron ion homeostasis. Hypoxia-inhibited genes are enriched in inorganic anion transport, sodium ion transport, very long-chain fatty acid biosynthetic process and cytidine deamination. A comparison with the dataset of cold-regulated gene expression identified 23 genes co-induced by hypoxia and cold and these genes are mainly associated with oxidation-reduction process, oxygen transport, hemopoiesis, hemoglobin biosynthetic process and cellular iron ion homeostasis. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
CD29 Identifies IFN-Γ–Producing Human CD8+ T Cells With
+ CD29 identifies IFN-γ–producing human CD8 T cells with an increased cytotoxic potential Benoît P. Nicoleta,b, Aurélie Guislaina,b, Floris P. J. van Alphenc, Raquel Gomez-Eerlandd, Ton N. M. Schumacherd, Maartje van den Biggelaarc,e, and Monika C. Wolkersa,b,1 aDepartment of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, The Netherlands; bLandsteiner Laboratory, Oncode Institute, Amsterdam University Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; cDepartment of Research Facilities, Sanquin Research, 1066 CX Amsterdam, The Netherlands; dDivision of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands; and eDepartment of Molecular and Cellular Haemostasis, Sanquin Research, 1066 CX Amsterdam, The Netherlands Edited by Anjana Rao, La Jolla Institute for Allergy and Immunology, La Jolla, CA, and approved February 12, 2020 (received for review August 12, 2019) Cytotoxic CD8+ T cells can effectively kill target cells by producing therefore developed a protocol that allowed for efficient iso- cytokines, chemokines, and granzymes. Expression of these effector lation of RNA and protein from fluorescence-activated cell molecules is however highly divergent, and tools that identify and sorting (FACS)-sorted fixed T cells after intracellular cytokine + preselect CD8 T cells with a cytotoxic expression profile are lacking. staining. With this top-down approach, we performed an un- + Human CD8 T cells can be divided into IFN-γ– and IL-2–producing biased RNA-sequencing (RNA-seq) and mass spectrometry cells. Unbiased transcriptomics and proteomics analysis on cytokine- γ– – + + (MS) analyses on IFN- and IL-2 producing primary human producing fixed CD8 T cells revealed that IL-2 cells produce helper + + + CD8 Tcells. -
Follistatin and Noggin Are Excluded from the Zebrafish Organizer
DEVELOPMENTAL BIOLOGY 204, 488–507 (1998) ARTICLE NO. DB989003 Follistatin and Noggin Are Excluded from the Zebrafish Organizer Hermann Bauer,* Andrea Meier,* Marc Hild,* Scott Stachel,†,1 Aris Economides,‡ Dennis Hazelett,† Richard M. Harland,† and Matthias Hammerschmidt*,2 *Max-Planck Institut fu¨r Immunbiologie, Stu¨beweg 51, 79108 Freiburg, Germany; †Department of Molecular and Cell Biology, University of California, 401 Barker Hall 3204, Berkeley, California 94720-3204; and ‡Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York 10591-6707 The patterning activity of the Spemann organizer in early amphibian embryos has been characterized by a number of organizer-specific secreted proteins including Chordin, Noggin, and Follistatin, which all share the same inductive properties. They can neuralize ectoderm and dorsalize ventral mesoderm by blocking the ventralizing signals Bmp2 and Bmp4. In the zebrafish, null mutations in the chordin gene, named chordino, lead to a severe reduction of organizer activity, indicating that Chordino is an essential, but not the only, inductive signal generated by the zebrafish organizer. A second gene required for zebrafish organizer function is mercedes, but the molecular nature of its product is not known as yet. To investigate whether and how Follistatin and Noggin are involved in dorsoventral (D-V) patterning of the zebrafish embryo, we have now isolated and characterized their zebrafish homologues. Overexpression studies demonstrate that both proteins have the same dorsalizing properties as their Xenopus homologues. However, unlike the Xenopus genes, zebrafish follistatin and noggin are not expressed in the organizer region, nor are they linked to the mercedes mutation. Expression of both genes starts at midgastrula stages. -
Co-Occurrence Based Meta-Analysis of Scientific Texts
Vol. 21 no. 9 2005, pages 2049–2058 BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/bti268 Data and text mining Co-occurrence based meta-analysis of scientific texts: retrieving biological relationships between genes R. Jelier1,∗ G. Jenster2, L. C. J. Dorssers3, C. C. van der Eijk1, E. M. van Mulligen1, B. Mons1 and J. A. Kors1 1Department of Medical Informatics, 2Department of Urology and 3Department of Pathology, Erasmus MC—University Medical Center, Rotterdam, The Netherlands Received on July 15, 2004; revised on December 22, 2004; accepted on January 6, 2005 Advance Access publication January 18, 2005 ABSTRACT are studied, the number of relevant publications will frequently be Motivation: The advent of high-throughput experiments in molecu- prohibitively large. This renders the traditional approach of manu- lar biology creates a need for methods to efficiently extract and use ally searching bibliographic databases for every gene and reading information for large numbers of genes. Recently, the associative scientific articles inadequate. It is therefore an important challenge concept space (ACS) has been developed for the representation of at this time to make the available information both accessible and information extracted from biomedical literature. The ACS is a Euc- interpretable for molecular biologists. lidean space in which thesaurus concepts are positioned and the An interesting current development is the use of annotations of distances between concepts indicates their relatedness. The ACS genes with gene ontology (GO) terms (Ashburner et al., 2000; Camon uses co-occurrence of concepts as a source of information. In this et al., 2004) for the analysis of the results of microarray experiments paper we evaluate how well the system can retrieve functionally (Zhang et al., 2004; Al Shahrour et al., 2004). -
HCC and Cancer Mutated Genes Summarized in the Literature Gene Symbol Gene Name References*
HCC and cancer mutated genes summarized in the literature Gene symbol Gene name References* A2M Alpha-2-macroglobulin (4) ABL1 c-abl oncogene 1, receptor tyrosine kinase (4,5,22) ACBD7 Acyl-Coenzyme A binding domain containing 7 (23) ACTL6A Actin-like 6A (4,5) ACTL6B Actin-like 6B (4) ACVR1B Activin A receptor, type IB (21,22) ACVR2A Activin A receptor, type IIA (4,21) ADAM10 ADAM metallopeptidase domain 10 (5) ADAMTS9 ADAM metallopeptidase with thrombospondin type 1 motif, 9 (4) ADCY2 Adenylate cyclase 2 (brain) (26) AJUBA Ajuba LIM protein (21) AKAP9 A kinase (PRKA) anchor protein (yotiao) 9 (4) Akt AKT serine/threonine kinase (28) AKT1 v-akt murine thymoma viral oncogene homolog 1 (5,21,22) AKT2 v-akt murine thymoma viral oncogene homolog 2 (4) ALB Albumin (4) ALK Anaplastic lymphoma receptor tyrosine kinase (22) AMPH Amphiphysin (24) ANK3 Ankyrin 3, node of Ranvier (ankyrin G) (4) ANKRD12 Ankyrin repeat domain 12 (4) ANO1 Anoctamin 1, calcium activated chloride channel (4) APC Adenomatous polyposis coli (4,5,21,22,25,28) APOB Apolipoprotein B [including Ag(x) antigen] (4) AR Androgen receptor (5,21-23) ARAP1 ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 1 (4) ARHGAP35 Rho GTPase activating protein 35 (21) ARID1A AT rich interactive domain 1A (SWI-like) (4,5,21,22,24,25,27,28) ARID1B AT rich interactive domain 1B (SWI1-like) (4,5,22) ARID2 AT rich interactive domain 2 (ARID, RFX-like) (4,5,22,24,25,27,28) ARID4A AT rich interactive domain 4A (RBP1-like) (28) ARID5B AT rich interactive domain 5B (MRF1-like) (21) ASPM Asp (abnormal -
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229 3 <V>:<Iss> X ZHOU and others Gonadotrope-specific Bmpr1a 229229:3:3 331–341 Research knockout mice Normal gonadotropin production and fertility in gonadotrope- specific Bmpr1a knockout mice Xiang Zhou1,2, Ying Wang1,2, Luisina Ongaro1,2, Ulrich Boehm3, Vesa Kaartinen4, Yuji Mishina4 and Daniel J Bernard1,2 1Department of Pharmacology and Therapeutics, McGill University, Montreal, Québec, Canada 2Centre for Research in Reproduction and Development, McGill University, Montreal, Québec, Canada Correspondence 3Department of Pharmacology and Toxicology, University of Saarland School of Medicine, Homburg, Germany should be addressed 4Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, to D J Bernard Michigan, USA Email [email protected] Abstract Pituitary follicle-stimulating hormone (FSH) synthesis is regulated by transforming Key Words growth factor β superfamily ligands, most notably the activins and inhibins. Bone f pituitary morphogenetic proteins (BMPs) also regulate FSHβ subunit (Fshb) expression in f FSH immortalized murine gonadotrope-like LβT2 cells and in primary murine or ovine f bone morphogenetic Endocrinology primary pituitary cultures. BMP2 signals preferentially via the BMP type I receptor, protein of BMPR1A, to stimulate murine Fshb transcription in vitro. Here, we used a Cre–lox f activin receptor-like kinase approach to assess BMPR1A’s role in FSH synthesis in mice in vivo. Gonadotrope- Journal f Cre-lox specific Bmpr1a knockout animals developed normally and had reproductive organ weights comparable with those of controls. Knockouts were fertile, with normal serum gonadotropins and pituitary gonadotropin subunit mRNA expression. Cre-mediated recombination of the floxed Bmpr1a allele was efficient and specific, as indicated by PCR analysis of diverse tissues and isolated gonadotrope cells. -
Effect of Nanoparticles on the Expression and Activity of Matrix Metalloproteinases
Nanotechnol Rev 2018; 7(6): 541–553 Review Magdalena Matysiak-Kucharek*, Magdalena Czajka, Krzysztof Sawicki, Marcin Kruszewski and Lucyna Kapka-Skrzypczak Effect of nanoparticles on the expression and activity of matrix metalloproteinases https://doi.org/10.1515/ntrev-2018-0110 Received September 14, 2018; accepted October 11, 2018; previously 1 Introduction published online November 15, 2018 Matrix metallopeptidases, commonly known as matrix Abstract: Matrix metallopeptidases, commonly known metalloproteinases (MMPs), are zinc-dependent proteo- as matrix metalloproteinases (MMPs), are a group of pro- lytic enzymes whose primary function is the degradation teolytic enzymes whose main function is the remodeling and remodeling of extracellular matrix (ECM) compo- of the extracellular matrix. Changes in the activity of nents. ECM is a complex, dynamic structure that condi- these enzymes are observed in many pathological states, tions the proper tissue architecture. MMPs by digesting including cancer metastases. An increasing body of evi- ECM proteins eliminate structural barriers and allow dence indicates that nanoparticles (NPs) can lead to the cell migration. Moreover, by hydrolyzing extracellularly deregulation of MMP expression and/or activity both in released proteins, MMPs can change the activity of many vitro and in vivo. In this work, we summarized the current signal peptides, such as growth factors, cytokines, and state of knowledge on the impact of NPs on MMPs. The chemokines. MMPs are involved in many physiological literature analysis showed that the impact of NPs on MMP processes, such as embryogenesis, reproduction cycle, or expression and/or activity is inconclusive. NPs exhibit wound healing; however, their increased activity is also both stimulating and inhibitory effects, which might be associated with a number of pathological conditions, such dependent on multiple factors, such as NP size and coat- as diabetes, cardiovascular diseases and neurodegenera- ing or a cellular model used in the research. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Polymorphisms of the Matrix Metalloproteinase Genes
www.nature.com/scientificreports OPEN Polymorphisms of the matrix metalloproteinase genes are associated with essential hypertension in a Caucasian population of Central Russia Maria Moskalenko1, Irina Ponomarenko1, Evgeny Reshetnikov1*, Volodymyr Dvornyk2 & Mikhail Churnosov1 This study aimed to determine possible association of eight polymorphisms of seven MMP genes with essential hypertension (EH) in a Caucasian population of Central Russia. Eight SNPs of the MMP1, MMP2, MMP3, MMP7, MMP8, MMP9, and MMP12 genes and their gene–gene (epistatic) interactions were analyzed for association with EH in a cohort of 939 patients and 466 controls using logistic regression and assuming additive, recessive, and dominant genetic models. The functional signifcance of the polymorphisms associated with EH and 114 variants linked to them (r2 ≥ 0.8) was analyzed in silico. Allele G of rs11568818 MMP7 was associated with EH according to all three genetic models (OR = 0.58–0.70, pperm = 0.01–0.03). The above eight SNPs were associated with the disorder within 12 most signifcant epistatic models (OR = 1.49–1.93, pperm < 0.02). Loci rs1320632 MMP8 and rs11568818 MMP7 contributed to the largest number of the models (12 and 10, respectively). The EH-associated loci and 114 SNPs linked to them had non-synonymous, regulatory, and eQTL signifcance for 15 genes, which contributed to the pathways related to metalloendopeptidase activity, collagen degradation, and extracellular matrix disassembly. In summary, eight studied SNPs of MMPs genes were associated with EH in the Caucasian population of Central Russia. Cardiovascular diseases are a global problem of modern healthcare and the second most common cause of total mortality1,2.