A Functional Genome-Wide Rnai Screen Identifies TAF1 As A

Total Page:16

File Type:pdf, Size:1020Kb

A Functional Genome-Wide Rnai Screen Identifies TAF1 As A 5250–5259 Nucleic Acids Research, 2008, Vol. 36, No. 16 Published online 6 August 2008 doi:10.1093/nar/gkn506 A functional genome-wide RNAi screen identifies TAF1 as a regulator for apoptosis in response to genotoxic stress Junko Kimura, Su Tien Nguyen, Hanshao Liu, Naoe Taira, Yoshio Miki* and Kiyotsugu Yoshida* Department of Molecular Genetics, Medical Research Institute, Tokyo Medical and Dental University, Yushima 1-5-45, Bunkyo-ku, Tokyo 113-8510, Japan Received June 18, 2008; Accepted July 22, 2008 Downloaded from ABSTRACT dissection of specific signaling pathways. Indeed, in com- bination with high-throughput assays, genome-wide Evasion from apoptotic cell death is a character- RNAi studies have uncovered novel gene functions in http://nar.oxfordjournals.org/ istic of cancer; genes that modulate this process various biological processes (2). Several of these studies may be optimal for therapeutic attack. Identifying were aimed at the identification of genes essential for cell key regulators of apoptosis is thus a central goal division, cell cycle progression, endocytosis, tumor trans- in cancer therapy. Here, we describe a loss-of- formation and apoptosis (3–10). Through these studies, function screen that uses RNA interference libraries the power of this approach for the identification of func- to identify genes required for induction of apoptosis. tional modules has been demonstrated. We used a short-hairpin RNA expressing vector Regulation of apoptosis is critical in many fundamental cellular processes. Because defective regulation of apopto- with high gene-expression silencing activity that at University of California, Los Angeles on April 4, 2015 contained fetal brain cDNAs. Survived cells from sis provokes human disease, particularly cancers (11–13), genotoxic stress were isolated to determine knock- a global survey of genes essential for apoptosis in human down of molecules that are crucial for induction cells is thus not only advance the understanding of a fun- damental biological process but also delivers novel diag- of apoptosis. We identified TBP-associated factor 1 nostic and therapeutic targets for cancer. In particular, the (TAF1), a gene previously implicated as an essential signals that induce apoptosis in response to genotoxic component of transcription machinery. Depletion stress are largely unknown. of TAF1 was associated with substantial atten- In this study, we used an improved short-hairpin uation of apoptosis induced by oxidative as well RNA (shRNA) library with genome-wide coverage (14). as genotoxic stress. Microarray analysis further We performed transfection of the shRNA library and demonstrated that a number of genes were tran- high-throughput cell-survival analysis to detect cells that scriptionally declined in cells silenced for TAF1. escaped from death, which were further analyzed by Surprisingly, knocking down TAF1 exhibited a TUNEL assays. We identified TBP-associated factor 1 marked decrease in p27Kip1 expression, allowing (TAF1), an essential component of transcription machin- ery. Microarray and apoptosis analyses demonstrated that cells resistant from oxidative stress-induced apo- Kip1 ptosis. These results suggest that TAF1 regulates TAF1-mediated p27 expression is involved in the induction of apoptosis in response to genotoxic stress. apoptosis by controlling p27Kip1 expression. Our Using this approach, we uncovered a new gene implicated system provides a novel approach to identifying can- in the apoptosis process, including transcriptional regula- didate genes that modulate apoptosis. tory networks that govern cell death in mammalian cells. INTRODUCTION MATERIALS AND METHODS Gene silencing by RNA interference (RNAi) has devel- Cell culture oped a powerful tool for loss-of-function studies (1). Large-scale RNAi has facilitated the search for genes Human 293T embryonal kidney cells, HeLa cervical required for diverse biological processes enabling stepwise cancer cells and MCF-7 breast cancer cells were cultured *To whom correspondence should be addressed. Tel: +81 3 5803 5826; Fax: +81 3 5803 0242; Email: [email protected] Correspondence may also be addressed to Yoshio Miki. Tel: +81 3 5803 5825; Fax: +81 3 5803 0242; Email: [email protected] ß 2008 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Nucleic Acids Research, 2008, Vol. 36, No. 16 5251 in Dulbecco’s modified Eagle medium containing 10% (50 mM Tris–HCl, pH 7.6, 150 mM NaCl, 1 mM Na3VO4, heat-inactivated fetal bovine serum, 100 U/ml penicillin, 1mM PMSF, 1mM DTT, 10mg/ml aprotinin, 1 mg/ml 100 U/ml streptomycin and 2 mM L-glutamine. U2OS leupeptin, 10 mM NaF, 1 mg/ml Pepstatin A, 0.05% deoxy- osteosarcoma cells were cultured in RPMI 1640 medium cholic acid and 1% NP-40). Lysates were centrifuged at containing 10% heat-inactivated fetal bovine serum and 15 000g for 5 min at 48C, and the supernatants were sepa- antibiotics. rated by SDS–PAGE and transferred to nitrocellulose mem- branes. The membranes were incubated with anti-Flag Cell transfection (Sigma-Aldrich, St. Louis, MO, USA), anti-TAF1 (Santa Kip1 Plasmid DNA was transfected by using FuGENE 6 trans- Cruz Biotechnology, Santa Cruz, CA, USA), anti-p27 fection reagent (Roche, Basel, Switzerland). TAF1, (Santa Cruz Biotechnology), anti-Notch2 (Developmental p27Kip1 and caspase-3 gene-specific siRNAs were pur- Studies Hybridoma Bank, Iowa City, IA, USA), antitubulin chased by Invitrogen, Carlsbad, CA, USA (Stealth (Sigma-Aldrich) or anti-PCNA (Santa Cruz Biotechnology). RNAi). Transfection of siRNAs was performed using Immune complexes were incubated with secondary anti- bodies and visualized by chemiluminescence (PerkinElmer). Lipofectamine RNAi MAX (Invitrogen). Downloaded from Construction of shRNA expression library TUNEL assays A shRNA library was constructed as previously described Cells cultured in poly-D-lysine-coated 4-well chamber (14). The library was generated from human fetal brain slides were transfected with plasmids or siRNAs and cDNAs. DNA fragments in the library theoretically cover then treated with H2O2 for 24 h. Apoptotic cells were http://nar.oxfordjournals.org/ a genome-wide transcriptome. detected by TUNEL assays using a DeadEnd Fluorometric TUNEL System (Promega). To detect apoptotic cells TM Construction of plasmids expressing GFP-TAF1, the FluoroLink Cy5-dUTP TM (GE Healthcare, Buckinghamshire, England) was used TAF1 cDNA was amplified by PCR using the PfuUltra instead of Fluorescein-12-dUTP. High-Fidelity DNA polymerase (Stratagene, La Jolla, CA, USA) from pBlueBacHis250 and cloned into the pEGFP- Microarray analysis C1 vectors. p27Kip1 cDNA was amplified by PCR from 293T cDNA and cloned into pcDNA3-Flag (15,16). Total RNA was isolated from cells using an RNeasy kit (Qiagen). Total RNA (5 mg) was used to start the protocol at University of California, Los Angeles on April 4, 2015 Measurement of cell viability of One-Cycle cDNA Synthesis and to label cRNA, follow- ing the manufacturer’s protocol (Affymetrix, Santa Clara, Cells were cultured in 96-well plates and individually CA, USA). Before making a cocktail solution, 20 mgof transfected with shRNA expression vector. After treat- biotin-labeled cRNA was fragmented to 35–200 bases, and ment with H2O2 or etoposide for 24 h, MTS assays were 15 mg of cRNA fragment was used to prepare the cocktail performed by adding 20 ml CellTiter 96 AQueous One solution. The solution was applied into a GeneChip Human Solution Reagent (Promega, Madison, WI, USA) directly Genome U133 plus 2.0 array (Affymetrix) and hybridized into 80 ml culture media. After incubation for 3 h at 378C for 16 h at 458C. After hybridization, the arrays were in a humidified 5% CO2 atmosphere, the absorbance was washed and stained using Fluidic station 450 according to measured at 490 nm with the use of a multilabel counter protocol EukGE-WS2v5_450 and were then scanned using (PerkinElmer, Waltham, MA, USA). the Affymetrix GeneChip Scanner 3000. Analysis of the data was performed as previously described (20). RT–PCR analysis Total RNA was isolated from cells using RNeasy kit Quantitative real-time RT–PCR analysis (Qiagen, Hilden, Germany). First strand cDNA synthesis Total RNA (5 mg) was reverse transcribed into cDNA using and following PCR were performed with 500 ng of total a Superscript III First-Strand Synthesis System for RT– RNA using a SuperScript III One-Step RT–PCR System PCR (Invitrogen), following the manufacturer’s protocol. with Platinum Taq DNA Polymerase (Invitrogen) accord- For TAF1 gene expression, the nucleotide sequence of ing to the manufacturer’s protocol. For TAF1 gene 0 0 0 5 -CAACACAAACCAGTGACCAGAG-3 was used as expression, the nucleotide sequence of 5 -GGTATGATA 0 0 the sense primer, and 5 -CCAGAATGCCTTAGCTTC TGCTGGGTGTC-3 was used as the sense primer, and 0 0 0 CA-3 was used as the antisense primer. For Notch2 gene 5 -CAAGAGTGGCTGCAAAACCT-3 was used as the expression, the nucleotide sequence of 50-TCCTCTTCT antisense primer. For GAPDH gene expression, the 0 0 GCCTGCCTTTG-3 was used as the sense primer, and nucleotide sequence of 5 -AAGGCTGTGGGCAAGGT 50-TACCTTTCCCTTCCCCACCT-30 was used as the anti- CATCCCT-30 was used as the sense primer, and 50-TTA Kip1 0 sense primer. For p27 gene expression, the nucleotide CTCCTTGGAGGCCATGTGGGC-3 was used as the sequence of 50-TGGCATGTTTTGTGCATTTG-30 was antisense primer. The reaction products were separated used as the sense primer, and 50-TTGGCTCAGTATGC on 2% agarose gels. AACCTTTT-30 was used as the antisense primer. For Actin gene expression, the nucleotide sequence of 50-GTG Immunoblot analysis GCCGAGGACTTTGATTG-30 was used as the sense Immunoblot analysis was performed as described elsewhere primer, and 50-TGGACTTGGGAGAGGACTGG-30 was (17–19). Briefly, cells were suspended with the lysis buffer used as the antisense primer. The PCR reaction was 5252 Nucleic Acids Research, 2008, Vol.
Recommended publications
  • 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.
    [Show full text]
  • High-Resolution Structure of TBP with TAF1 Reveals Anchoring Patterns in Transcriptional Regulation
    ARTICLES High-resolution structure of TBP with TAF1 reveals anchoring patterns in transcriptional regulation Madhanagopal Anandapadamanaban1, Cecilia Andresen1,6, Sara Helander1,6, Yoshifumi Ohyama2, Marina I Siponen3,5, Patrik Lundström1, Tetsuro Kokubo2, Mitsuhiko Ikura4, Martin Moche3 & Maria Sunnerhagen1 The general transcription factor TFIID provides a regulatory platform for transcription initiation. Here we present the crystal structure (1.97 Å) and NMR analysis of yeast TAF1 N-terminal domains TAND1 and TAND2 bound to yeast TBP, together with mutational data. We find that yeast TAF1-TAND1, which in itself acts as a transcriptional activator, binds TBP’s concave DNA- binding surface by presenting similar anchor residues to TBP as does Mot1 but from a distinct structural scaffold. Furthermore, we show how TAF1-TAND2 uses an aromatic and acidic anchoring pattern to bind a conserved TBP surface groove traversing the basic helix region, and we find highly similar TBP-binding motifs also presented by the structurally distinct TFIIA, Mot1 and Brf1 proteins. Our identification of these anchoring patterns, which can be easily disrupted or enhanced, provides insight into the competitive multiprotein TBP interplay critical to transcriptional regulation. Initiation of eukaryotic gene transcription at a core promoter requires DNA binding and recruitment of the transcriptional machinery13. the assembly of a preinitiation complex (PIC). These complexes are However, although the DNA anchoring in this model is well estab- biologically dynamic assemblies, and their composition can be altered lished12, recruiting activation-domain complexes have been charac- during development and thereby drive cell-specific programs of tran- terized only at low resolution14–17. Furthermore, although TBP has scription1,2.
    [Show full text]
  • Revealing Transcription Factor and Histone Modification Co-Localization and Dynamics Across Cell Lines by Integrating Chip-Seq A
    Zhang et al. BMC Genomics 2018, 19(Suppl 10):914 https://doi.org/10.1186/s12864-018-5278-5 RESEARCH Open Access Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data Lirong Zhang1*, Gaogao Xue1, Junjie Liu1, Qianzhong Li1* and Yong Wang2,3,4* From 29th International Conference on Genome Informatics Yunnan, China. 3-5 December 2018 Abstract Background: Interactions among transcription factors (TFs) and histone modifications (HMs) play an important role in the precise regulation of gene expression. The context specificity of those interactions and further its dynamics in normal and disease remains largely unknown. Recent development in genomics technology enables transcription profiling by RNA-seq and protein’s binding profiling by ChIP-seq. Integrative analysis of the two types of data allows us to investigate TFs and HMs interactions both from the genome co-localization and downstream target gene expression. Results: We propose a integrative pipeline to explore the co-localization of 55 TFs and 11 HMs and its dynamics in human GM12878 and K562 by matched ChIP-seq and RNA-seq data from ENCODE. We classify TFs and HMs into three types based on their binding enrichment around transcription start site (TSS). Then a set of statistical indexes are proposed to characterize the TF-TF and TF-HM co-localizations. We found that Rad21, SMC3, and CTCF co-localized across five cell lines. High resolution Hi-C data in GM12878 shows that they associate most of the Hi-C peak loci with a specific CTCF-motif “anchor” and supports that CTCF, SMC3, and RAD2 co-localization serves important role in 3D chromatin structure.
    [Show full text]
  • Therapeutic Potential of TAF1 Bromodomains for Cancer Treatment
    bioRxiv preprint doi: https://doi.org/10.1101/394254; this version posted August 17, 2018. 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. Therapeutic potential of TAF1 bromodomains for cancer treatment Veronica Garcia-Carpizo1, Sergio Ruiz-Llorente1, Jacinto Sarmentero1 and Maria J. Barrero1* 1CNIO-Lilly Epigenetics Laboratory Spanish National Cancer Research Center (CNIO), Melchor Fernandez Almagro 3, E-28029 Madrid, Spain *To whom correspondence should be addressed: [email protected] (34) 917 328 000 Keywords: epigenetics, bromodomains, proliferation, cancer Running tittle: TAF1 bromodomains in proliferation 1 bioRxiv preprint doi: https://doi.org/10.1101/394254; this version posted August 17, 2018. 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. ABSTRACT The discovery of the antiproliferative effects of BRD4 bromodomain inhibitors prompted us to investigate additional bromodomains that might be involved in supporting cellular proliferation. TAF1 is a general transcription factor with two bromodomains that is likely to play important roles in cell viability by supporting transcription. Our work shows that knock down of TAF1 caused antiproliferative effects in several cancer cell lines. Using CRISPR-Cas9 editing techniques we demonstrate that the bromodomains of TAF1 are essential to maintain proliferation of K562 and H322 cells. BAY-299, the best TAF1 bromodomain inhibitor developed so far, also showed antiproliferative effects. BAY-299 caused discrete transcriptional changes that were likely on target but did not correlate with strong effects in cell cycle distribution suggesting that these effects might be, at least in part, mediated by another target.
    [Show full text]
  • Crystal Structure of a TAF1-TAF7 Complex in Human Transcription Factor IID Reveals a Promoter Binding Module
    Cell Research (2014) 24:1433-1444. npg © 2014 IBCB, SIBS, CAS All rights reserved 1001-0602/14 $ 32.00 ORIGINAL ARTICLE www.nature.com/cr Crystal structure of a TAF1-TAF7 complex in human transcription factor IID reveals a promoter binding module Hui Wang1, 2, Elizabeth C Curran1, Thomas R Hinds1, 2, Edith H Wang1, Ning Zheng1, 2 1Department of Pharmacology, 2Howard Hughes Medical Institute, Box 357280, University of Washington, Seattle, WA 98195, USA The general transcription factor IID (TFIID) initiates RNA polymerase II-mediated eukaryotic transcription by nucleating pre-initiation complex formation at the core promoter of protein-encoding genes. TAF1, the largest in- tegral subunit of TFIID, contains an evolutionarily conserved yet poorly characterized central core domain, whose specific mutation disrupts cell proliferation in the temperature-sensitive mutant hamster cell line ts13. Although the impaired TAF1 function in the ts13 mutant has been associated with defective transcriptional regulation of cell cycle genes, the mechanism by which TAF1 mediates transcription as part of TFIID remains unclear. Here, we present the crystal structure of the human TAF1 central core domain in complex with another conserved TFIID subunit, TAF7, which biochemically solubilizes TAF1. The TAF1-TAF7 complex displays an inter-digitated compact architecture, featuring an unexpected TAF1 winged helix (WH) domain mounted on top of a heterodimeric triple barrel. The single TAF1 residue altered in the ts13 mutant is buried at the junction of these two structural domains. We show that the TAF1 WH domain has intrinsic DNA-binding activity, which depends on characteristic residues that are commonly used by WH fold proteins for interacting with DNA.
    [Show full text]
  • TAF1 Antibody
    For research use only BioVision 09/14 TAF1 Antibody ALTERNATE NAMES: TAF (II) 250, TBP-associated factor 250 kDa, p250, BA2R, CCG1, CCGS, TAF2A CATALOG #: 6845-50 AMOUNT: 50 µl HOST/ISOTYPE: Rabbit Western blot was performed on nuclear IMMUNOGEN: Polyclonal antibody raised in rabbit against human TAF1 extracts from HeLa cells (20 µg) with (TATA box binding protein (TBP)-associated factor; the antibody diluted 1:1,000 in TBS- Transcription initiation factor TFIID subunit 1), using the Tween containing 5% skimmed milk recombinant double bromodomain module of the protein. (Figure 2). The molecular weight marker (in kDa) is shown on the left; FORM: Liquid the location of the protein of interest is indicated on the right. FORMULATION: In PBS with 0.05% (W/V) sodium azide. PURIFICATION: Whole antiserum from rabbit SPECIES REACTIVITY: Human. STORAGE CONDITIONS: Store at -20°C; for long storage, store at -80°C. Avoid multiple freeze-thaw cycles. DESCRIPTION: TAF1 is the largest component and core scaffold of the TFIID basal transcription factor complex which also includes TBP. The protein is able to auto phosphorylate or trans phosphorylate other transcription factors such as TP53 on ‘Thr- 55’, leading to MDM2-mediated degradation of TP53, and GTF2A1 and GTF2F1 on Ser residues. TAF1 possesses DNA- RELATED PRODUCTS: binding activity and is essential for progression of the G1 phase TAF1 bromodomain 1 (1371-1496 aa) (GST-tagged), Human recombinant (Cat # 7660- of the cell cycle. 20, -100) APPLICATION: Western Blot: 1:1000. Note: This information is only intended as a guide. The optimal dilutions must be FOR RESEARCH USE ONLY! Not to be used on humans.
    [Show full text]
  • TAF1 Gene TATA-Box Binding Protein Associated Factor 1
    TAF1 gene TATA-box binding protein associated factor 1 Normal Function The TAF1 gene provides instructions for making part of a protein called transcription factor IID (TFIID). This protein is active in cells and tissues throughout the body, where it attaches (binds) to DNA. Transcription factor IID plays an essential role in regulating the activity of most genes. The TAF1 gene is part of a complex region of DNA known as the TAF1/DYT3 multiple transcript system. This region consists of short stretches of DNA from the TAF1 gene plus some extra segments of genetic material near the gene. These stretches of DNA can be combined in different ways to create various sets of instructions for making proteins. Researchers believe that some of these variations are critical for the normal function of nerve cells (neurons) in the brain. Health Conditions Related to Genetic Changes X-linked dystonia-parkinsonism Several changes in the TAF1/DYT3 multiple transcript system have been identified in people with X-linked dystonia-parkinsonism. Some alter single DNA building blocks ( nucleotides) in the gene; these changes are described as disease-specific single- nucleotide changes (DSCs). Another genetic change deletes a small number of nucleotides from the gene. Researchers are uncertain how these changes are related to the movement abnormalities characteristic of the disease. X-linked dystonia-parkinsonism may also be related to an extra segment of DNA in the TAF1/DYT3 multiple transcript system. The extra segment results from the insertion of a retrotransposon, which is a small piece of DNA that can move around to different positions in a cell's genetic material.
    [Show full text]
  • Decreased N-TAF1 Expression in X-Linked Dystonia-Parkinsonism Patient-Specific Neural Stem Cells Naoto Ito1,2,*, William T
    © 2016. Published by The Company of Biologists Ltd | Disease Models & Mechanisms (2016) 9, 451-462 doi:10.1242/dmm.022590 RESOURCE ARTICLE Decreased N-TAF1 expression in X-linked dystonia-parkinsonism patient-specific neural stem cells Naoto Ito1,2,*, William T. Hendriks1,2,*, Jyotsna Dhakal1,2, Christine A. Vaine1,2, Christina Liu1,2, David Shin1,2, Kyle Shin1,2, Noriko Wakabayashi-Ito1,2, Marisela Dy1, Trisha Multhaupt-Buell1, Nutan Sharma1, Xandra O. Breakefield1,2,3,‡ and D. Cristopher Bragg1,2,‡ ABSTRACT et al., 2013a). Most cases in which dystonia is the primary clinical manifestation seem to have a genetic predisposition, with over 25 X-linked dystonia-parkinsonism (XDP) is a hereditary neurodegenerative gene loci linked to different forms of the disease (Lohmann and disorder involving a progressive loss of striatal medium spiny neurons. Klein, 2013). Among the many subtypes of dystonia are numerous The mechanisms underlying neurodegeneration are not known, in examples that combine clinical features of Parkinson’s disease part because there have been few cellular models available for (PD), such as (1) DOPA-responsive dystonia, caused by variations studying the disease. The XDP haplotype consists of multiple in genes encoding dopamine biosynthetic enzymes (GCH1, TH, sequence variations in a region of the X chromosome containing SR; Lee and Jeon, 2014); (2) rapid-onset dystonia-parkinsonism TAF1, a large gene with at least 38 exons, and a multiple transcript (RDP), caused by variations in a subunit of the sodium/potassium system (MTS) composed of five unconventional exons. A previous ATPase (ATP1A3; Geyer and Bressman, 2011); (3) DYT16 study identified an XDP-specific insertion of a SINE-VNTR-Alu dystonia, associated with variations in the PKR regulatory (SVA)-type retrotransposon in intron 32 of TAF1, as well as a neural- protein, PACT (PRKRA; Zech et al., 2014; Camargos et al., specific TAF1 isoform, N-TAF1, which showed decreased expression 2012); and (4) other degenerative disorders such as Wilson’s in post-mortem XDP brain compared with control tissue.
    [Show full text]
  • Recombinant TAF1 (1398-1524) Protein Catalog No: 31403, 31803 Quantity: 100, 1000 Μg Expressed In: E
    Recombinant TAF1 (1398-1524) protein Catalog No: 31403, 31803 Quantity: 100, 1000 µg Expressed In: E. coli Concentration: 1 µg/µl Source: Human Buffer Contents: Recombinant TAF1 (1398-1524) protein is supplied at a concentration of 1 µg/µl in 25 mM Tris pH 8.0, 500 mM NaCl, 20% glycerol. Background: TAF1 RNA polymerase II, TATA box binding protein (TBP)-associated factor (TAF1) is the largest component and core scaffold of the TFIID basal transcription factor complex. TAF1 contains novel N- and C-terminal Ser/Thr kinase domains which can autophosphorylate or transphosphorylate other transcription factors. TAF1 also contains bromodomains for interaction with other proteins. The bromodomain functions as a ‘reader’ of epigenetic histone marks and regulates chromatin structure and gene expression by linking associated proteins to the recognized acetylated nucleosomal targets. TAF1 has been shown to phosphorylate threonine 55 of p53 which leads to MDM2-mediated degradation of p53. TAF1 also phosphorylates GTF2A1 and GTF2F1 on serine residues. In addition, TAF1 possesses DNA-binding activity and is essential for progression of the G1 phase of the cell cycle. Protein Details: Recombinant TAF1 (1398-1524) protein that includes amino acids 1398-1524 of human TAF1 protein (accession number NP_004597.2) was expressed in E. coli and contains an N-terminal His tag and C-terminal FLAG tag with a molecular weight of 21 kDa. The purity of the protein is >90% by SDS-PAGE. Application Notes: Recombinant TAF1 (1398-1524) is suitable for use in binding assays, inhibitor screening, and selectivity profiling. Storage and Guarantee: Recombinant proteins in solution are temperature sensitive and must be stored at -80°C to prevent degradation.
    [Show full text]
  • Discovery and Comparative Genomics of All Mouse Protein Kinases
    The mouse kinome: Discovery and comparative genomics of all mouse protein kinases Sean Caenepeel*†, Glen Charydczak*, Sucha Sudarsanam*, Tony Hunter‡, and Gerard Manning*§¶ *SUGEN, Incorporated, 230 East Grand Avenue, South San Francisco, CA 94025; and ‡The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037 Edited by Susan S. Taylor, University of California at San Diego, La Jolla, CA, and approved May 24, 2004 (received for review October 23, 2003) We have determined the full protein kinase (PK) complement genes to their human orthologs to find conserved and lineage- (kinome) of mouse. This set of 540 genes includes many novel specific sequences and functions. kinases and corrections or extensions to >150 published se- quences. The mouse has orthologs for 510 of the 518 human PKs. Methods Nonorthologous kinases arise only by retrotransposition and gene Mouse loci orthologous to human PKs were identified by BLAST decay. Orthologous kinase pairs vary in sequence conservation search of human protein sequences against the draft mouse along their length, creating a map of functionally important genome (Mouse Genome Sequencing Consortium, February regions for every kinase pair. Many species-specific sequence 2003 Arachne assembly). The surrounding genomic sequence inserts exist and are frequently alternatively spliced, allowing for was subjected to GENEWISE homology-based gene prediction, the creation of evolutionary lineage-specific functions. Ninety- with the orthologous human kinase. GENEWISE predictions were seven kinase pseudogenes were found, all distinct from the 107 confirmed, corrected, and extended by aligning EST͞cDNA human kinase pseudogenes. Chromosomal mapping links 163 sequences to the genomic sequence and by BLAST followed by kinases to mutant phenotypes and unlocks the use of mouse manual inspection.
    [Show full text]
  • Plots of Observed and Expected Χ2 Values of Association Between SNP Genotype and Risk of Chronic Lymphocytic Leukemia
    λ = 0.9955 λ = 1.001 a) 60 b) 60 50 50 40 40 values values 2 2 30 30 χ χ 20 20 observed observed 10 10 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 expected χ2 values expected χ2 values λ = 0.9992 λ = 1.1054 c) 60 d) 60 50 50 40 40 values values 2 2 30 30 χ χ 20 20 observed observed 10 10 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 expected χ2 values expected χ2 values λ = 1.0268 λ = 1.0175 e) 60 f) 60 50 50 40 40 values values 2 2 30 30 χ χ 20 20 observed observed 10 10 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 expected χ2 values expected χ2 values Supplementary Figure 1: Quantile-Quantile (Q-Q) plots of observed and expected χ2 values of association between SNP genotype and risk of chronic lymphocytic leukemia. a) UK-CLL1, b) UK-CLL2, c) GEC, d) NHL GWAS, e) UCSF and f) Utah. The red line represents the null hypothesis of no true association. a) rs34676223 Chromosome 1 position (kb, hg19) 23,945 23,950 23,955 23,960 23,965 23,970 23,975 23,980 23,985 Super- CD19+ B-cell enhancers GM12878 MDS2 Genes MDS2 SNPs 4245 _ mCLL 0 _ 3352 _ uCLL ATAC-seq 0 _ 500 _ CD19+ CD20+ B-cell 0 _ 200 _ mCLL H3K27ac 0 _ 200 _ uCLL H3K27ac 0 _ 200 _ Histone mCLL H3K4me1 0 _ marks: 200 _ uCLL CLL H3K4me1 0 _ 50 _ mCLL H3K27me3 0 _ 50 _ uCLL H3K27me3 0 _ 50 _ GM12878 H3K27ac 0 _ Histone 50 _ marks: GM12878 H3K4me1 0 _ GM12878 50 _ GM12878 H3K27me3 0 _ b) rs41271473 Chromosome 1 position (kb, hg19) 228,750 228,800 228,850 228,900 Super- CD19+ B-cell enhancers GM12878 Genes RHOU SNPs 374 _ mCLL 0 _ 316 _ uCLL ATAC-seq 0 _ 200 _ CD19+ CD20+ B-cell 0 _ mCLL 50
    [Show full text]
  • Integrative Framework for Identification of Key Cell Identity Genes Uncovers
    Integrative framework for identification of key cell PNAS PLUS identity genes uncovers determinants of ES cell identity and homeostasis Senthilkumar Cinghua,1, Sailu Yellaboinaa,b,c,1, Johannes M. Freudenberga,b, Swati Ghosha, Xiaofeng Zhengd, Andrew J. Oldfielda, Brad L. Lackfordd, Dmitri V. Zaykinb, Guang Hud,2, and Raja Jothia,b,2 aSystems Biology Section and dStem Cell Biology Section, Laboratory of Molecular Carcinogenesis, and bBiostatistics Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709; and cCR Rao Advanced Institute of Mathematics, Statistics, and Computer Science, Hyderabad, Andhra Pradesh 500 046, India Edited by Norbert Perrimon, Harvard Medical School and Howard Hughes Medical Institute, Boston, MA, and approved March 17, 2014 (received for review October 2, 2013) Identification of genes associated with specific biological pheno- (mESCs) for genes essential for the maintenance of ESC identity types is a fundamental step toward understanding the molecular resulted in only ∼8% overlap (8, 9), although many of the unique basis underlying development and pathogenesis. Although RNAi- hits in each screen were known or later validated to be real. The based high-throughput screens are routinely used for this task, lack of concordance suggest that these screens have not reached false discovery and sensitivity remain a challenge. Here we describe saturation (14) and that additional genes of importance remain a computational framework for systematic integration of published to be discovered. gene expression data to identify genes defining a phenotype of Motivated by the need for an alternative approach for iden- interest. We applied our approach to rank-order all genes based on tification of key cell identity genes, we developed a computa- their likelihood of determining ES cell (ESC) identity.
    [Show full text]