Genome-Wide DNA Methylation Analysis of a Cohort of 41 Patients Affected by Oculo-Auriculo-Vertebral Spectrum (OAVS)
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Genetic Screening Identifies a Component of the SWI/SNF Complex, Arid1b As a Senescence Regulator
A genetic screening identifies a component of the SWI/SNF complex, Arid1b as a senescence regulator Sadaf Khan A thesis submitted to Imperial College London for the degree of Doctor in Philosophy MRC Clinical Sciences Centre Imperial College London, School of Medicine July 2013 Statement of originality All experiments included in this thesis were performed by myself unless otherwise stated. Copyright Declaration The copyright of this thesis rests with the author and is made available under a Creative Commons Attribution Non-Commercial No Derivatives license. Researchers are free to copy, distribute or transmit the thesis on the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the license terms of this work. 2 Abstract Senescence is an important tumour suppressor mechanism, which prevents the proliferation of stressed or damaged cells. The use of RNA interference to identify genes with a role in senescence is an important tool in the discovery of novel cancer genes. In this work, a protocol was established for conducting bypass of senescence screenings, using shRNA libraries together with next-generation sequencing. Using this approach, the SWI/SNF subunit Arid1b was identified as a regulator of cellular lifespan in MEFs. SWI/SNF is a large multi-subunit complex that remodels chromatin. Mutations in SWI/SNF proteins are frequently associated with cancer, suggesting that SWI/SNF components are tumour suppressors. Here the role of ARID1B during senescence was investigated. Depletion of ARID1B extends the proliferative capacity of primary mouse and human fibroblasts. -
ARID1B Is a Specific Vulnerability in ARID1A-Mutant Cancers The
ARID1B is a specific vulnerability in ARID1A-mutant cancers The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. Citation Helming, K. C., X. Wang, B. G. Wilson, F. Vazquez, J. R. Haswell, H. E. Manchester, Y. Kim, et al. 2014. “ARID1B is a specific vulnerability in ARID1A-mutant cancers.” Nature medicine 20 (3): 251-254. doi:10.1038/nm.3480. http://dx.doi.org/10.1038/nm.3480. Published Version doi:10.1038/nm.3480 Accessed February 16, 2015 10:04:32 PM EST Citable Link http://nrs.harvard.edu/urn-3:HUL.InstRepos:12987227 Terms of Use This article was downloaded from Harvard University's DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA (Article begins on next page) NIH Public Access Author Manuscript Nat Med. Author manuscript; available in PMC 2014 September 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Nat Med. 2014 March ; 20(3): 251–254. doi:10.1038/nm.3480. ARID1B is a specific vulnerability in ARID1A-mutant cancers Katherine C. Helming1,2,3,4,*, Xiaofeng Wang1,2,3,*, Boris G. Wilson1,2,3, Francisca Vazquez5, Jeffrey R. Haswell1,2,3, Haley E. Manchester1,2,3, Youngha Kim1,2,3, Gregory V. Kryukov5, Mahmoud Ghandi5, Andrew J. Aguirre5,6,7, Zainab Jagani8, Zhong Wang9, Levi A. Garraway6, William C. Hahn6,7, and Charles W. -
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. -
Genome-Wide Parent-Of-Origin DNA Methylation Analysis Reveals The
Downloaded from genome.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Research Genome-wide parent-of-origin DNA methylation analysis reveals the intricacies of human imprinting and suggests a germline methylation-independent mechanism of establishment Franck Court,1,15 Chiharu Tayama,2,15 Valeria Romanelli,1,15 Alex Martin-Trujillo,1,15 Isabel Iglesias-Platas,3 Kohji Okamura,4 Naoko Sugahara,2 Carlos Simo´n,5 Harry Moore,6 Julie V. Harness,7 Hans Keirstead,7 Jose Vicente Sanchez-Mut,8 Eisuke Kaneki,9 Pablo Lapunzina,10 Hidenobu Soejima,11 Norio Wake,9 Manel Esteller,8,12,13 Tsutomu Ogata,14 Kenichiro Hata,2 Kazuhiko Nakabayashi,2,16,17 and David Monk1,16,17 1–14[Author affiliations appear at the end of the paper.] Differential methylation between the two alleles of a gene has been observed in imprinted regions, where the methylation of one allele occurs on a parent-of-origin basis, the inactive X-chromosome in females, and at those loci whose methylation is driven by genetic variants. We have extensively characterized imprinted methylation in a substantial range of normal human tissues, reciprocal genome-wide uniparental disomies, and hydatidiform moles, using a combination of whole- genome bisulfite sequencing and high-density methylation microarrays. This approach allowed us to define methylation profiles at known imprinted domains at base-pair resolution, as well as to identify 21 novel loci harboring parent-of-origin methylation, 15 of which are restricted to the placenta. We observe that the extent of imprinted differentially methylated regions (DMRs) is extremely similar between tissues, with the exception of the placenta. -
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). -
Supp Material.Pdf
Supplementary Information Estrogen-mediated Epigenetic Repression of Large Chromosomal Regions through DNA Looping Pei-Yin Hsu, Hang-Kai Hsu, Gregory A. C. Singer, Pearlly S. Yan, Benjamin A. T. Rodriguez, Joseph C. Liu, Yu-I Weng, Daniel E. Deatherage, Zhong Chen, Julia S. Pereira, Ricardo Lopez, Jose Russo, Qianben Wang, Coral A. Lamartiniere, Kenneth P. Nephew, and Tim H.-M. Huang S1 Method Immunofluorescence staining Approximately 2,000 mammosphere-derived epithelial cells (MDECs) cells seeded collagen I-coated coverslips were fixed with methanol/acetone for 10 min. After blocking with 2.5% bovine serum albumin (Sigma) for 1 hr, these cells were incubated with anti-ESR1 antibody (Santa Cruz) overnight at 4˚C. The corresponding secondary FITC-conjugated antibody was applied followed by DAPI staining (Molecular Probes) for the nuclei. Photographs were captured by Zeiss fluorescence microscopy (Zeiss). The percentages of ESR1 subcellular localization were calculated in ten different optical fields (~10 cells per field) by two independent researchers. References Carroll, J.S., Meyer, C.A., Song, J., Li, W., Geistlinger, T.R., Eeckhoute, J., Brodsky, A.S., Keeton, E.K., Fertuck, K.C., Hall, G.F., et al. 2006. Genome-wide analysis of estrogen receptor binding sites. Nat. Genet. 38: 1289-1297. Neve, R.M., Chin, K., Fridlyand, J., Yeh, J., Baehner, F.L., Fevr, T., Clark, L., Bayani, N., Coppe, J.P., Tong, F., et al. 2006. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. Cancer Cell 10: 515-527. S2 Hsu et al. Supplementary Information A Figure S1. Integrative mapping of large genomic regions subjected to ERα-mediated epigenetic repression. -
UNIVERSITY of CALIFORNIA, SAN DIEGO Towards an Understanding of Inflammation in Macrophages a Dissertation Submitted in Partial
UNIVERSITY OF CALIFORNIA, SAN DIEGO Towards an Understanding of Inflammation in Macrophages A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biomedical Sciences by Dawn Xiaobin Zhang Committee in charge: Professor Christopher L. Glass, Chair Professor Jack Bui Professor Ronald M. Evans Professor Richard L. Gallo Professor Joseph L. Witztum 2014 Copyright Dawn Xiaobin Zhang, 2014 All rights reserved. This Dissertation of Dawn Xiaobin Zhang is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Chair University of California, San Diego 2014 iii DEDICATION To my family and the love of my life, Matthew. iv EPIGRAPH How often have I said to you that when you have eliminated the impossible, whatever remains, however improbable, must be the truth? -Sherlock Holmes, From The Sign of the Four, Sir Arthur Conan Doyle v TABLE OF CONTENTS Signature Page ……………………………………………………………….. iii Dedication ……………………………………………………….…………….. iv Epigraph ……………………………………………………………………….. v Table of Contents ………………………………………………………….….. vi List of Figures ………………………………………………………….………. viii List of Tables ………………………………………………………….…….…. x Acknowledgements …………………………………….…………………..…. xi Vita …………………………………….……………………………………..…. xiii Abstract of the Dissertation ………………………………..…………………. xv Chapter I: Introduction: Towards an Understanding of Cell-Specific Function of Signal-Dependent Transcription Factors ……....…....…... 1 A. Abstract ……....…....………………………………...…………….. 2 B. Introduction -
The Genetic Basis of Hepatosplenic T-Cell Lymphoma
Published OnlineFirst January 25, 2017; DOI: 10.1158/2159-8290.CD-16-0330 RESEARCH BRIEF The Genetic Basis of Hepatosplenic T-cell Lymphoma Matthew McKinney 1 , Andrea B. Moffi tt 2 , Philippe Gaulard 3 , Marion Travert 3 , Laurence De Leval4 , Alina Nicolae 5 , Mark Raffeld 5 , Elaine S. Jaffe 5 , Stefania Pittaluga 5 , Liqiang Xi 5 , Tayla Heavican 6 , Javeed Iqbal 6 , Karim Belhadj 3 , Marie Helene Delfau-Larue 3 , Virginie Fataccioli 3 , Magdalena B. Czader7 , Izidore S. Lossos 8 , Jennifer R. Chapman-Fredricks 8 , Kristy L. Richards 9 , Yuri Fedoriw 9 , Sarah L. Ondrejka10 , Eric D. Hsi 10 , Lawrence Low 11 , Dennis Weisenburger 11 , Wing C. Chan 11 , Neha Mehta-Shah12 , Steven Horwitz 12 , Leon Bernal-Mizrachi 13 , Christopher R. Flowers 13 , Anne W. Beaven 1 , Mayur Parihar 14 , Lucile Baseggio 15 , Marie Parrens 16 , Anne Moreau 17 , Pierre Sujobert 18 , Monika Pilichowska 19 , Andrew M. Evens 19 , Amy Chadburn 20 , Rex K.H. Au-Yeung 21 , Gopesh Srivastava 21 , William W. L. Choi 21 , John R. Goodlad 22 , Igor Aurer 23 , Sandra Basic-Kinda 23 , Randy D. Gascoyne 24 , Nicholas S. Davis 1 , Guojie Li 1 , Jenny Zhang 1 , Deepthi Rajagopalan 1 , Anupama Reddy 1 , Cassandra Love 1 , Shawn Levy 25 , Yuan Zhuang 1 , Jyotishka Datta 26 , David B. Dunson 26 , and Sandeep S. Davé 1 , 2 ABSTRACT Hepatosplenic T-cell lymphoma (HSTL) is a rare and lethal lymphoma; the genetic drivers of this disease are unknown. Through whole-exome sequencing of 68 HSTLs, we defi ne recurrently mutated driver genes and copy-number alterations in the disease. -
MECHANISMS in ENDOCRINOLOGY: Novel Genetic Causes of Short Stature
J M Wit and others Genetics of short stature 174:4 R145–R173 Review MECHANISMS IN ENDOCRINOLOGY Novel genetic causes of short stature 1 1 2 2 Jan M Wit , Wilma Oostdijk , Monique Losekoot , Hermine A van Duyvenvoorde , Correspondence Claudia A L Ruivenkamp2 and Sarina G Kant2 should be addressed to J M Wit Departments of 1Paediatrics and 2Clinical Genetics, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, Email The Netherlands [email protected] Abstract The fast technological development, particularly single nucleotide polymorphism array, array-comparative genomic hybridization, and whole exome sequencing, has led to the discovery of many novel genetic causes of growth failure. In this review we discuss a selection of these, according to a diagnostic classification centred on the epiphyseal growth plate. We successively discuss disorders in hormone signalling, paracrine factors, matrix molecules, intracellular pathways, and fundamental cellular processes, followed by chromosomal aberrations including copy number variants (CNVs) and imprinting disorders associated with short stature. Many novel causes of GH deficiency (GHD) as part of combined pituitary hormone deficiency have been uncovered. The most frequent genetic causes of isolated GHD are GH1 and GHRHR defects, but several novel causes have recently been found, such as GHSR, RNPC3, and IFT172 mutations. Besides well-defined causes of GH insensitivity (GHR, STAT5B, IGFALS, IGF1 defects), disorders of NFkB signalling, STAT3 and IGF2 have recently been discovered. Heterozygous IGF1R defects are a relatively frequent cause of prenatal and postnatal growth retardation. TRHA mutations cause a syndromic form of short stature with elevated T3/T4 ratio. Disorders of signalling of various paracrine factors (FGFs, BMPs, WNTs, PTHrP/IHH, and CNP/NPR2) or genetic defects affecting cartilage extracellular matrix usually cause disproportionate short stature. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Metastatic Adrenocortical Carcinoma Displays Higher Mutation Rate and Tumor Heterogeneity Than Primary Tumors
ARTICLE DOI: 10.1038/s41467-018-06366-z OPEN Metastatic adrenocortical carcinoma displays higher mutation rate and tumor heterogeneity than primary tumors Sudheer Kumar Gara1, Justin Lack2, Lisa Zhang1, Emerson Harris1, Margaret Cam2 & Electron Kebebew1,3 Adrenocortical cancer (ACC) is a rare cancer with poor prognosis and high mortality due to metastatic disease. All reported genetic alterations have been in primary ACC, and it is 1234567890():,; unknown if there is molecular heterogeneity in ACC. Here, we report the genetic changes associated with metastatic ACC compared to primary ACCs and tumor heterogeneity. We performed whole-exome sequencing of 33 metastatic tumors. The overall mutation rate (per megabase) in metastatic tumors was 2.8-fold higher than primary ACC tumor samples. We found tumor heterogeneity among different metastatic sites in ACC and discovered recurrent mutations in several novel genes. We observed 37–57% overlap in genes that are mutated among different metastatic sites within the same patient. We also identified new therapeutic targets in recurrent and metastatic ACC not previously described in primary ACCs. 1 Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 2 Center for Cancer Research, Collaborative Bioinformatics Resource, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 3 Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA 94305, USA. Correspondence and requests for materials should be addressed to E.K. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:4172 | DOI: 10.1038/s41467-018-06366-z | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-06366-z drenocortical carcinoma (ACC) is a rare malignancy with types including primary ACC from the TCGA to understand our A0.7–2 cases per million per year1,2. -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol .