Analysis of the 4Q35 Chromatin Organization Reveals Distinct Long-Range Interactions In
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Hippo Signaling in Cancer: Lessons from Drosophila Models
fcell-07-00085 May 22, 2019 Time: 18:12 # 1 REVIEW published: 24 May 2019 doi: 10.3389/fcell.2019.00085 Hippo Signaling in Cancer: Lessons From Drosophila Models Kirti Snigdha1, Karishma Sanjay Gangwani1, Gauri Vijay Lapalikar2, Amit Singh1,3,4,5 and Madhuri Kango-Singh1,3,4,5* 1 Department of Biology, University of Dayton, Dayton, OH, United States, 2 Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, United States, 3 Pre-Medical Programs, University of Dayton, Dayton, OH, United States, 4 Center for Tissue Regeneration and Engineering at Dayton, University of Dayton, Dayton, OH, United States, 5 Integrated Science and Engineering Center, University of Dayton, Dayton, OH, United States Hippo pathway was initially identified through genetic screens for genes regulating organ size in fruitflies. Recent studies have highlighted the role of Hippo signaling as a key regulator of homeostasis, and in tumorigenesis. Hippo pathway is comprised of genes that act as tumor suppressor genes like hippo (hpo) and warts (wts), and oncogenes like yorkie (yki). YAP and TAZ are two related mammalian homologs of Drosophila Yki that act as effectors of the Hippo pathway. Hippo signaling deficiency can cause Edited by: YAP- or TAZ-dependent oncogene addiction for cancer cells. YAP and TAZ are often SrinivasVinod Saladi, activated in human malignant cancers. These transcriptional regulators may initiate Harvard Medical School, tumorigenic changes in solid tumors by inducing cancer stem cells and proliferation, United States culminating in metastasis and chemo-resistance. Given the complex mechanisms (e.g., Reviewed by: Sirisha M. Cheedipudi, of the cancer microenvironment, and the extrinsic and intrinsic cues) that overpower University of Texas Health Science YAP/TAZ inhibition, the molecular roles of the Hippo pathway in tumor growth and Center at Houston, United States Rizaldy Paz Scott, progression remain poorly defined. -
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. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Regulatory Divergence of Transcript Isoforms in a Mammalian Model System
RESEARCH ARTICLE Regulatory Divergence of Transcript Isoforms in a Mammalian Model System Sarah Leigh-Brown1☯, Angela Goncalves2,3☯, David Thybert2, Klara Stefflova4, Stephen Watt3, Paul Flicek2, Alvis Brazma2, John C. Marioni2*, Duncan T. Odom1,3* 1 University of Cambridge, Cancer Research UK - Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom, 2 European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom, 3 Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom, 4 California Institute of Technology, Division of Biology, Pasadena, California, United States of America ☯ These authors contributed equally to this work. * [email protected] (DTO); [email protected] (JCM) Abstract OPEN ACCESS Phenotypic differences between species are driven by changes in gene expression and, by extension, by modifications in the regulation of the transcriptome. Investigation of mamma- Citation: Leigh-Brown S, Goncalves A, Thybert D, Stefflova K, Watt S, Flicek P, et al. (2015) Regulatory lian transcriptome divergence has been restricted to analysis of bulk gene expression levels Divergence of Transcript Isoforms in a Mammalian and gene-internal splicing. Using allele-specific expression analysis in inter-strain hybrids Model System. PLoS ONE 10(9): e0137367. of Mus musculus, we determined the contribution of multiple cellular regulatory systems to doi:10.1371/journal.pone.0137367 transcriptome divergence, including: alternative promoter usage, transcription start site Editor: Barbara E. Stranger, University of Chicago, selection, cassette exon usage, alternative last exon usage, and alternative polyadenylation UNITED STATES site choice. Between mouse strains, a fifth of genes have variations in isoform usage that Received: June 9, 2015 contribute to transcriptomic changes, half of which alter encoded amino acid sequence. -
Landscape of Tumor Suppressor Long Noncoding Rnas in Breast Cancer Boran Pang1, Qin Wang2, Shipeng Ning2, Junqiang Wu2, Xingda Zhang2, Yanbo Chen2 and Shouping Xu2*
Pang et al. Journal of Experimental & Clinical Cancer Research (2019) 38:79 https://doi.org/10.1186/s13046-019-1096-0 RESEARCH Open Access Landscape of tumor suppressor long noncoding RNAs in breast cancer Boran Pang1, Qin Wang2, Shipeng Ning2, Junqiang Wu2, Xingda Zhang2, Yanbo Chen2 and Shouping Xu2* Abstract Background: The landscape and biological functions of tumor suppressor long noncoding RNAs in breast cancer are still unknown. Methods: Data from whole transcriptome sequencing of 33 breast specimens in the Harbin Medical University Cancer Center cohort and The Cancer Genome Atlas was applied to identify and validate the landscape of tumor suppressor long noncoding RNAs, which was further validated by The Cancer Genome Atlas pancancer data including 33 cancer types and 12,839 patients. Next, the expression model, prognostic roles, potential biological functions and epigenetic regulation of tumor suppressor long noncoding RNAs were investigated and validated in the breast cancer and pancancer cohorts. Finally, EPB41L4A-AS2 was selected to validate our novel finding, and the tumor suppressive roles of EPB41L4A-AS2 in breast cancer were examined. Results: We identified and validated the landscape of tumor suppressor long noncoding RNAs in breast cancer. The expression of the identified long noncoding RNAs was downregulated in cancer tissue samples compared with normal tissue samples, and these long noncoding RNAs correlated with a favorable prognosis in breast cancer patients and the patients in the pancancer cohort. Multiple carcinogenesis-associated biological functions were predicted to be regulated negatively by these long noncoding RNAs. Moreover, these long noncoding RNAs were transcriptionally regulated by epigenetic modification, including DNA methylation and histone methylation modification. -
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 -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
Gene Expression Signature of Menstrual Cyclic Phase in Normal Cycling Endometrium
Gene Expression Signature of Menstrual Cyclic Phase in Normal Cycling Endometrium A Thesis SUBMITTED TO THE FACULTY OF UNIVERSITY OF MINNESOTA BY Ling Cen IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE Adviser: George Vasmatzis Co-Adviser: Claudia Neuhauser December 2014 © Ling Cen 2014 Acknowledgements First, I would like to thank my advisor, Dr. George Vasmatzis for giving me an opportunity to work on this project in his group. This work could not have been completed without his kind guidance. I also would like to thank my co-advisor, Dr. Claudia Neuhauser for her advising and guidance during the study in the program. Further, I also very much appreciate Dr. Peter Li for serving on my committee and for his helpful discussions. Additionally, I’m grateful to Dr. Y.F. Wong for his generosity in sharing the gene expression data for our analysis. Most importantly, I am deeply indebted to my family and friends, for their continuous love, support, patience, and encouragement during the completion of this work. i Abstract Gene expression profiling has been widely used in understanding global gene expression alterations in endometrial cancer vs. normal cells. In many microarray-based endometrial cancer studies, comparisons of cancer with normal cells were generally made using heterogeneous samples in terms of menstrual cycle phases, or status of hormonal therapies, etc, which may confound the search for differentially expressed genes playing roles in the progression of endometrial cancer. These studies will consequently fail to uncover genes that are important in endometrial cancer biology. Thus it is fundamentally important to identify a gene signature for discriminating normal endometrial cyclic phases. -
Ufmylation Inhibits the Proinflammatory Capacity of Interferon-Γ–Activated Macrophages
UFMylation inhibits the proinflammatory capacity of interferon-γ–activated macrophages Dale R. Balcea,1,2, Ya-Ting Wanga,b, Michael R. McAllasterb,1, Bria F. Dunlapa, Anthony Orvedahlc, Barry L. Hykes Jra, Lindsay Droita, Scott A. Handleya, Craig B. Wilend,e, John G. Doenchf, Robert C. Orchardg, Christina L. Stallingsb, and Herbert W. Virgina,1,2 aDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110; bDepartment of Molecular Microbiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110; cDepartment of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110; dDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06510; eDepartment of Immunobiology, Yale School of Medicine, New Haven, CT 06510; fBroad Institute of MIT and Harvard, Cambridge, MA 02142; and gDepartment of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, TX 75390 Contributed by Herbert W. Virgin, November 19, 2020 (sent for review June 15, 2020; reviewed by Masaaki Komatsu and Hong Zhang) Macrophages activated with interferon-γ (IFN-γ) in combination in regulating this aspect of cellular immunity. Thus, understanding with other proinflammatory stimuli, such as lipopolysaccharide pathways that positively and negatively regulate IFN-γ–dependent or tumor necrosis factor-α (TNF-α), respond with transcriptional macrophage activation is an important priority. and cellular changes that enhance clearance of intracellular path- Here we performed a genome-wide CRISPR screen to identify ogens at the risk of damaging tissues. IFN-γ effects must therefore proteins that negatively regulate IFN-γ responses in macrophages. -
The Ufm1 System Is Upregulated by ER Stress During Osteogenic Differentiation
bioRxiv preprint doi: https://doi.org/10.1101/720490; this version posted July 30, 2019. 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. The Ufm1 system is upregulated by ER stress during osteogenic differentiation Michal Dudek1* and Gillian A. Wallis1 1 Wellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine & Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester M13 9PT, UK * Corresponding author: Dr Michal Dudek e-mail: [email protected] Abstract Objective: Mutations in the catalytic site of the ubiquitin-fold modifier 1(UFM1)-specific peptidase 2 (UFSP2) gene have been identified to cause autosomal dominant Beukes hip dysplasia in a large multigenerational family and a novel form of autosomal dominant spondyloepimetaphyseal dysplasia in a second family. We investigated the expression of the UFSP2/UFM1 system during mouse joint development the connection to ER stress induced during osteogenic differentiation. Methods: The pattern of expression of Ufsp2 was determined by radioactive RNA in situ hybridisation on mouse tissue sections. qPCR was used to monitor expression during in vitro osteogenic differentiation and chemically induced ER stress. Affinity purification and mass spectrometry was used for isolation and identification of Ufm1 conjugation targets. Luciferase reporter assay was used to investigate the activity of Ufm1 system genes’ promoters. Results: We found that Ufsp2 was predominantly expressed in the bone and secondary ossification centres of 10-day old mice. -
TF–RBP–AS Triplet Analysis Reveals the Mechanisms of Aberrant
International Journal of Molecular Sciences Article TF–RBP–AS Triplet Analysis Reveals the Mechanisms of Aberrant Alternative Splicing Events in Kidney Cancer: Implications for Their Possible Clinical Use as Prognostic and Therapeutic Biomarkers Meng He and Fuyan Hu * Department of Statistics, School of Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430070, China; [email protected] * Correspondence: [email protected]; Tel.: +86-027-87108033 Abstract: Aberrant alternative splicing (AS) is increasingly linked to cancer; however, how AS contributes to cancer development still remains largely unknown. AS events (ASEs) are largely regulated by RNA-binding proteins (RBPs) whose ability can be modulated by a variety of genetic and epigenetic mechanisms. In this study, we used a computational framework to investigate the roles of transcription factors (TFs) on regulating RBP-AS interactions. A total of 6519 TF–RBP– AS triplets were identified, including 290 TFs, 175 RBPs, and 16 ASEs from TCGA–KIRC RNA sequencing data. TF function categories were defined according to correlation changes between RBP expression and their targeted ASEs. The results suggested that most TFs affected multiple targets, and six different classes of TF-mediated transcriptional dysregulations were identified. Then, Citation: He, M.; Hu, F. TF–RBP–AS regulatory networks were constructed for TF–RBP–AS triplets. Further pathway-enrichment analysis Triplet Analysis Reveals the showed that these TFs and RBPs involved in triplets were enriched in a variety of pathways that were Mechanisms of Aberrant Alternative associated with cancer development and progression. Survival analysis showed that some triplets Splicing Events in Kidney Cancer: were highly associated with survival rates. -
NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer
Florida International University FIU Digital Commons FIU Electronic Theses and Dissertations University Graduate School 11-7-2018 Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer Jairo Ramos [email protected] Follow this and additional works at: https://digitalcommons.fiu.edu/etd Part of the Clinical Epidemiology Commons Recommended Citation Ramos, Jairo, "Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer" (2018). FIU Electronic Theses and Dissertations. 3872. https://digitalcommons.fiu.edu/etd/3872 This work is brought to you for free and open access by the University Graduate School at FIU Digital Commons. It has been accepted for inclusion in FIU Electronic Theses and Dissertations by an authorized administrator of FIU Digital Commons. For more information, please contact [email protected]. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida DECIPHER MECHANISMS BY WHICH NUCLEAR RESPIRATORY FACTOR ONE (NRF1) COORDINATES CHANGES IN THE TRANSCRIPTIONAL AND CHROMATIN LANDSCAPE AFFECTING DEVELOPMENT AND PROGRESSION OF INVASIVE BREAST CANCER A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in PUBLIC HEALTH by Jairo Ramos 2018 To: Dean Tomás R. Guilarte Robert Stempel College of Public Health and Social Work This dissertation, Written by Jairo Ramos, and entitled Decipher Mechanisms by Which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer, having been approved in respect to style and intellectual content, is referred to you for judgment.