New Roles for the RNA Processing Factors Cfim68 and SRPK2 Highlight Unexpected Links in the Control of Mammalian Gene Expression
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The Splicing Factor U2AF1 Contributes to Cancer Progression Through a Noncanonical Role in Translation Regulation
Downloaded from genesdev.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press The splicing factor U2AF1 contributes to cancer progression through a noncanonical role in translation regulation Murali Palangat,1 Dimitrios G. Anastasakis,2 Dennis Liang Fei,3 Katherine E. Lindblad,4 Robert Bradley,5 Christopher S. Hourigan,4 Markus Hafner,2 and Daniel R. Larson1 1Laboratory of Receptor Biology and Gene Expression, National Cancer Insitute, National Institutes of Health, Bethesda, Maryland 20892, USA; 2National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA; 3Weill Cornell Medicine, New York, New York 10065, USA; 4Laboratory of Myeloid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA; 5Computational Biology Program, Public Health Sciences and Biological Sciences, Fred Hutchinson Cancer Center, Seattle, Washington 98109, USA Somatic mutations in the genes encoding components of the spliceosome occur frequently in human neoplasms, including myeloid dysplasias and leukemias, and less often in solid tumors. One of the affected factors, U2AF1, is involved in splice site selection, and the most common change, S34F, alters a conserved nucleic acid-binding domain, recognition of the 3′ splice site, and alternative splicing of many mRNAs. However, the role that this mutation plays in oncogenesis is still unknown. Here, we uncovered a noncanonical function of U2AF1, showing that it directly binds mature mRNA in the cytoplasm and negatively regulates mRNA translation. This splicing- independent role of U2AF1 is altered by the S34F mutation, and polysome profiling indicates that the mutation affects translation of hundreds of mRNA. -
Organ Level Protein Networks As a Reference for the Host Effects of the Microbiome
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 1 Organ level protein networks as a reference for the host effects of the microbiome 2 3 Robert H. Millsa,b,c,d, Jacob M. Wozniaka,b, Alison Vrbanacc, Anaamika Campeaua,b, Benoit 4 Chassainge,f,g,h, Andrew Gewirtze, Rob Knightc,d, and David J. Gonzaleza,b,d,# 5 6 a Department of Pharmacology, University of California, San Diego, California, USA 7 b Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 8 California, USA 9 c Department of Pediatrics, and Department of Computer Science and Engineering, University of 10 California, San Diego California, USA 11 d Center for Microbiome Innovation, University of California, San Diego, California, USA 12 e Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State 13 University, Atlanta, GA, USA 14 f Neuroscience Institute, Georgia State University, Atlanta, GA, USA 15 g INSERM, U1016, Paris, France. 16 h Université de Paris, Paris, France. 17 18 Key words: Microbiota, Tandem Mass Tags, Organ Proteomics, Gnotobiotic Mice, Germ-free Mice, 19 Protein Networks, Proteomics 20 21 # Address Correspondence to: 22 David J. Gonzalez, PhD 23 Department of Pharmacology and Pharmacy 24 University of California, San Diego 25 La Jolla, CA 92093 26 E-mail: [email protected] 27 Phone: 858-822-1218 28 1 Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 29 Abstract 30 Connections between the microbiome and health are rapidly emerging in a wide range of 31 diseases. -
NIH Public Access Author Manuscript Gene
NIH Public Access Author Manuscript Gene. Author manuscript; available in PMC 2010 June 21. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Gene. 2007 July 15; 396(2): 373±390. doi:10.1016/j.gene.2007.04.021. Formation of the 3’ end of histone mRNA: Getting closer to the end Zbigniew Dominski* and William F. Marzluff Department of Biochemistry and Biophysics and Program in Molecular Biology and Biotechnology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Abstract Nearly all eukaryotic mRNAs end with a poly (A) tail that is added to their 3’ end by the ubiquitous cleavage/polyadenylation machinery. The only known exception to this rule are metazoan replication dependent histone mRNAs, which end with a highly conserved stem-loop structure. This distinct 3’ end is generated by specialized 3’end processing machinery that cleaves histone pre-mRNAs 4–5 nucleotides downstream of the stem-loop and consists of the U7 small nuclear RNP (snRNP) and number of protein factors. Recently, the U7 snRNP has been shown to contain a unique Sm core that differs from that of the spliceosomal snRNPs, and an essential heat labile processing factor has been identified as symplekin. In addition, cross-linking studies have pinpointed CPSF-73 as the endonuclease, which catalyzes the cleavage reaction. Thus, many of the critical components of the 3’ end processing machinery are now identified. Strikingly, this machinery is not as unique as initially thought but contains a number of factors involved in cleavage/polyadenylation, suggesting that the two mechanisms have a common evolutionary origin. -
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. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
The Role of Nuclear Bodies in Gene Expression and Disease
Biology 2013, 2, 976-1033; doi:10.3390/biology2030976 OPEN ACCESS biology ISSN 2079-7737 www.mdpi.com/journal/biology Review The Role of Nuclear Bodies in Gene Expression and Disease Marie Morimoto and Cornelius F. Boerkoel * Department of Medical Genetics, Child & Family Research Institute, University of British Columbia, Vancouver, BC V5Z 4H4, Canada; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-604-875-2157; Fax: +1-604-875-2376. Received: 15 May 2013; in revised form: 13 June 2013 / Accepted: 20 June 2013 / Published: 9 July 2013 Abstract: This review summarizes the current understanding of the role of nuclear bodies in regulating gene expression. The compartmentalization of cellular processes, such as ribosome biogenesis, RNA processing, cellular response to stress, transcription, modification and assembly of spliceosomal snRNPs, histone gene synthesis and nuclear RNA retention, has significant implications for gene regulation. These functional nuclear domains include the nucleolus, nuclear speckle, nuclear stress body, transcription factory, Cajal body, Gemini of Cajal body, histone locus body and paraspeckle. We herein review the roles of nuclear bodies in regulating gene expression and their relation to human health and disease. Keywords: nuclear bodies; transcription; gene expression; genome organization 1. Introduction Gene expression is a multistep process that is vital for the development, adaptation and survival of all living organisms. Regulation of gene expression occurs at the level of transcription, RNA processing, RNA export, translation and protein degradation [1±3]. The nucleus has the ability to modulate gene expression at each of these levels. How the nucleus executes this regulation is gradually being dissected. -
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 -
Purified U7 Snrnps Lack the Sm Proteins D1 and D2 but Contain
The EMBO Journal Vol. 20 No. 19 pp. 5470±5479, 2001 Puri®ed U7 snRNPs lack the Sm proteins D1 and D2 but contain Lsm10, a new 14 kDa Sm D1-like protein Ramesh S.Pillai1, Cindy L.Will2, The U11 and U12 snRNPs contain the common Sm Reinhard LuÈ hrmann2, Daniel SchuÈ mperli1,3 proteins, interacting with canonical Sm binding sites, and Berndt MuÈ ller1,4 certain U2 snRNP-speci®c proteins also present in the U12 snRNP, and new kinds of U11 and U12 snRNP-speci®c 1 Institute of Cell Biology, University of Bern, Baltzerstrasse 4, 3012 proteins that may be functional equivalents of U1- and U2- Bern, Switzerland, 2Max Planck Institute of Biophysical Chemistry, Am Fassberg 11, 37070 GoÈttingen, Germany and 4Department of speci®c proteins (Will et al., 1999). Molecular and Cell Biology, Institute of Medical Sciences, University Another minor snRNP, the U7 snRNP, is an essential of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK cofactor for 3¢-end processing of the replication-dependent 3Corresponding author histone pre-mRNAs in metazoans (reviewed in MuÈller and e-mail: [email protected] SchuÈmperli, 1997; Dominski and Marzluff, 1999). These histone transcripts lack introns and a poly(A) tail in the U7 snRNPs were isolated from HeLa cells by biochem- mature message. The endonucleolytic cleavage generating ical fractionation, followed by af®nity puri®cation the mRNA 3¢-end is distinct from the cleavage-poly- with a biotinylated oligonucleotide complementary to adenylation reaction that processes all other mRNAs. The U7 snRNA. Puri®ed U7 snRNPs lack the Sm proteins U7 snRNA is 58±63 nucleotides (nt) long, depending on D1 and D2, but contain additional polypeptides of 14, the species. -
Pan-Cancer Analysis Identifies Mutations in SUGP1 That Recapitulate Mutant SF3B1 Splicing Dysregulation
Pan-cancer analysis identifies mutations in SUGP1 that recapitulate mutant SF3B1 splicing dysregulation Zhaoqi Liua,b,c,1, Jian Zhangd,1, Yiwei Suna,c, Tomin E. Perea-Chambleea,b,c, James L. Manleyd,2, and Raul Rabadana,b,c,2 aProgram for Mathematical Genomics, Columbia University, New York, NY 10032; bDepartment of Systems Biology, Columbia University, New York, NY 10032; cDepartment of Biomedical Informatics, Columbia University, New York, NY 10032; and dDepartment of Biological Sciences, Columbia University, New York, NY 10027 Contributed by James L. Manley, March 2, 2020 (sent for review January 2, 2020; reviewed by Kristen Lynch and Gene Yeo) The gene encoding the core spliceosomal protein SF3B1 is the most also resulted in the same splicing defects observed in SF3B1 frequently mutated gene encoding a splicing factor in a variety of mutant cells (11). hematologic malignancies and solid tumors. SF3B1 mutations in- In addition to SF3B1, other SF-encoding genes have also been duce use of cryptic 3′ splice sites (3′ss), and these splicing errors found to be mutated in hematologic malignancies, e.g., U2AF1, contribute to tumorigenesis. However, it is unclear how wide- SRSF2, and ZRSR2. However, these SF gene mutations do not spread this type of cryptic 3′ss usage is in cancers and what is share common alterations in splicing (1, 3), suggesting that dif- the full spectrum of genetic mutations that cause such missplicing. ferent splicing patterns may contribute to different phenotypes To address this issue, we performed an unbiased pan-cancer anal- of cancers. Because SF3B1 is the most frequently mutated ysis to identify genetic alterations that lead to the same aberrant splicing gene, the splicing defects caused by mutant SF3B1 may SF3B1 splicing as observed with mutations. -
Nuclear PTEN Safeguards Pre-Mrna Splicing to Link Golgi Apparatus for Its Tumor Suppressive Role
ARTICLE DOI: 10.1038/s41467-018-04760-1 OPEN Nuclear PTEN safeguards pre-mRNA splicing to link Golgi apparatus for its tumor suppressive role Shao-Ming Shen1, Yan Ji2, Cheng Zhang1, Shuang-Shu Dong2, Shuo Yang1, Zhong Xiong1, Meng-Kai Ge1, Yun Yu1, Li Xia1, Meng Guo1, Jin-Ke Cheng3, Jun-Ling Liu1,3, Jian-Xiu Yu1,3 & Guo-Qiang Chen1 Dysregulation of pre-mRNA alternative splicing (AS) is closely associated with cancers. However, the relationships between the AS and classic oncogenes/tumor suppressors are 1234567890():,; largely unknown. Here we show that the deletion of tumor suppressor PTEN alters pre-mRNA splicing in a phosphatase-independent manner, and identify 262 PTEN-regulated AS events in 293T cells by RNA sequencing, which are associated with significant worse outcome of cancer patients. Based on these findings, we report that nuclear PTEN interacts with the splicing machinery, spliceosome, to regulate its assembly and pre-mRNA splicing. We also identify a new exon 2b in GOLGA2 transcript and the exon exclusion contributes to PTEN knockdown-induced tumorigenesis by promoting dramatic Golgi extension and secretion, and PTEN depletion significantly sensitizes cancer cells to secretion inhibitors brefeldin A and golgicide A. Our results suggest that Golgi secretion inhibitors alone or in combination with PI3K/Akt kinase inhibitors may be therapeutically useful for PTEN-deficient cancers. 1 Department of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine (SJTU-SM), Shanghai 200025, China. 2 Institute of Health Sciences, Shanghai Institutes for Biological Sciences of Chinese Academy of Sciences and SJTU-SM, Shanghai 200025, China. -
Coding RNA Genes
Review A guide to naming human non-coding RNA genes Ruth L Seal1,2,* , Ling-Ling Chen3, Sam Griffiths-Jones4, Todd M Lowe5, Michael B Mathews6, Dawn O’Reilly7, Andrew J Pierce8, Peter F Stadler9,10,11,12,13, Igor Ulitsky14 , Sandra L Wolin15 & Elspeth A Bruford1,2 Abstract working on non-coding RNA (ncRNA) nomenclature in the mid- 1980s with the approval of initial gene symbols for mitochondrial Research on non-coding RNA (ncRNA) is a rapidly expanding field. transfer RNA (tRNA) genes. Since then, we have worked closely Providing an official gene symbol and name to ncRNA genes brings with experts in the ncRNA field to develop symbols for many dif- order to otherwise potential chaos as it allows unambiguous ferent kinds of ncRNA genes. communication about each gene. The HUGO Gene Nomenclature The number of genes that the HGNC has named per ncRNA class Committee (HGNC, www.genenames.org) is the only group with is shown in Fig 1, and ranges in number from over 4,500 long the authority to approve symbols for human genes. The HGNC ncRNA (lncRNA) genes and over 1,900 microRNA genes, to just four works with specialist advisors for different classes of ncRNA to genes in the vault and Y RNA classes. Every gene symbol has a ensure that ncRNA nomenclature is accurate and informative, Symbol Report on our website, www.genenames.org, which where possible. Here, we review each major class of ncRNA that is displays the gene symbol, gene name, chromosomal location and currently annotated in the human genome and describe how each also includes links to key resources such as Ensembl (Zerbino et al, class is assigned a standardised nomenclature. -
HNRNPA1 Promotes Recognition of Splice Site Decoys by U2AF2 in Vivo
Downloaded from genome.cshlp.org on October 10, 2021 - Published by Cold Spring Harbor Laboratory Press Research HNRNPA1 promotes recognition of splice site decoys by U2AF2 in vivo Jonathan M. Howard,1,5 Hai Lin,2,5 Andrew J. Wallace,1 Garam Kim,1 Jolene M. Draper,1 Maximilian Haeussler,3 Sol Katzman,3 Masoud Toloue,4 Yunlong Liu,2 and Jeremy R. Sanford1 1Department of Molecular, Cellular and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA; 2Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA; 3Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA; 4Bioo Scientific Corporation, Austin, Texas 78744, USA Alternative pre-mRNA splicing plays a major role in expanding the transcript output of human genes. This process is regulated, in part, by the interplay of trans-acting RNA binding proteins (RBPs) with myriad cis-regulatory elements scat- tered throughout pre-mRNAs. These molecular recognition events are critical for defining the protein-coding sequences (exons) within pre-mRNAs and directing spliceosome assembly on noncoding regions (introns). One of the earliest events in this process is recognition of the 3′ splice site (3′ss) by U2 small nuclear RNA auxiliary factor 2 (U2AF2). Splicing reg- ulators, such as the heterogeneous nuclear ribonucleoprotein A1 (HNRNPA1), influence spliceosome assembly both in vitro and in vivo, but their mechanisms of action remain poorly described on a global scale. HNRNPA1 also promotes proofread- ing of 3′ss sequences though a direct interaction with the U2AF heterodimer.