Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Gene Expression and Splicing Alterations Analyzed by High Throughput RNA Sequencing of Chronic Lymphocytic Leukemia Specimens
Liao et al. BMC Cancer (2015) 15:714 DOI 10.1186/s12885-015-1708-9 RESEARCH ARTICLE Open Access Gene expression and splicing alterations analyzed by high throughput RNA sequencing of chronic lymphocytic leukemia specimens Wei Liao1, Gwen Jordaan1, Phillipp Nham2, Ryan T. Phan2, Matteo Pelegrini3 and Sanjai Sharma1,4* Abstract Background: To determine differentially expressed and spliced RNA transcripts in chronic lymphocytic leukemia specimens a high throughput RNA-sequencing (HTS RNA-seq) analysis was performed. Methods: Ten CLL specimens and five normal peripheral blood CD19+ B cells were analyzed by HTS RNA-seq. The library preparation was performed with Illumina TrueSeq RNA kit and analyzed by Illumina HiSeq 2000 sequencing system. Results: An average of 48.5 million reads for B cells, and 50.6 million reads for CLL specimens were obtained with 10396 and 10448 assembled transcripts for normal B cells and primary CLL specimens respectively. With the Cuffdiff analysis, 2091 differentially expressed genes (DEG) between B cells and CLL specimens based on FPKM (fragments per kilobase of transcript per million reads and false discovery rate, FDR q < 0.05, fold change >2) were identified. Expression of selected DEGs (n = 32) with up regulated and down regulated expression in CLL from RNA-seq data were also analyzed by qRT-PCR in a test cohort of CLL specimens. Even though there was a variation in fold expression of DEG genes between RNA-seq and qRT-PCR; more than 90 % of analyzed genes were validated by qRT-PCR analysis. Analysis of RNA-seq data for splicing alterations in CLL and B cells was performed by Multivariate Analysis of Transcript Splicing (MATS analysis). -
Polymorphisms of the BARX1 and ADAMTS17 Locus Genes in Individuals with Gastroesophageal Reflux Disease
J Neurogastroenterol Motil, Vol. 25 No. 3 July, 2019 pISSN: 2093-0879 eISSN: 2093-0887 https://doi.org/10.5056/jnm18183 JNM Journal of Neurogastroenterology and Motility Original Article Polymorphisms of the BARX1 and ADAMTS17 Locus Genes in Individuals With Gastroesophageal Reflux Disease Alexandra Argyrou,1 Evangelia Legaki,1 Christos Koutserimpas,2 Maria Gazouli,1* Ioannis Papaconstantinou,3 George Gkiokas,3 and George Karamanolis4 1Department of Basic Medical Sciences, Laboratory of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; 22nd Department of General Surgery, “Sismanoglio General Hospital of Athens, Athens, Greece; 32nd Department of Surgery, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; and 4Gastroenterology Unit, 2nd Department of Surgery, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece Background/Aims Gastroesophageal reflux disease (GERD) represents a common condition having a substantial impact on the patients’ quality of life, as well as the health system. According to many studies, the BARX1 and ADAMTS17 genes have been suggested as genetic risk loci for the development of GERD and its complications. The purpose of this study is to investigate the potential association between GERD and BARX1 and ADAMTS17 polymorphisms. Methods The present is a prospective cohort study of 160 GERD patients and 180 healthy control subjects of Greek origin, examined for BARX1 and ADAMTS17 polymorphisms (rs11789015 and rs4965272) and a potential correlation to GERD. Results The rs11789015 AG and GG genotypes were found to be significantly associated with GERD (P = 0.032; OR, 1.65; 95% CI, 1.06- 2.57 and P = 0.033; OR, 3.00; 95% CI, 1.15-7.82, respectively), as well as the G allele (P = 0.007; OR, 1.60; 95% CI, 1.14- 2.24). -
C19) United States C12) Patent Application Publication C10) Pub
1111111111111111 IIIIII IIIII 1111111111 11111 11111 111111111111111 1111111111 1111111111 11111111 US 20200081016Al c19) United States c12) Patent Application Publication c10) Pub. No.: US 2020/0081016 Al Talaat et al. (43) Pub. Date: Mar. 12, 2020 (54) BIOMARKERS FOR EARLY DIAGNOSIS Publication Classification AND DIFFERENTIATION OF (51) Int. Cl. MYCOBACTERIAL INFECTION GOIN 33/68 (2006.01) C12Q 116851 (2006.01) (71) Applicant: Wisconsin Alumni Research GOIN 33/569 (2006.01) Foundation, Madison, WI (US) (52) U.S. Cl. (72) Inventors: Adel Mohamed Talaat, Madison, WI CPC ......... GOIN 33/6854 (2013.01); GOIN 33/68 (US); Chia-wei Wu, Madison, WI (US) (2013.01); GOIN 2800/50 (2013.01); GOIN 33/5695 (2013.01); GOIN 2800/26 (2013.01); (21) Appl. No.: 16/555,819 C12Q 116851 (2013.01) (22) Filed: Aug. 29, 2019 (57) ABSTRACT Mycobacterial-specific biomarkers and methods of using Related U.S. Application Data such biomarkers for diagnosis of mycobacterial infection in (60) Provisional application No. 62/728,387, filed on Sep. a mammal are disclosed. 7, 2018. Specification includes a Sequence Listing. Patent Application Publication Mar. 12, 2020 Sheet 1 of 10 US 2020/0081016 Al FIG. 1 ·~{:: -{t i * !lpNbiNi$ 1 !lpN p~ra 111:111111 llillllll: 111!11,111llltllllll~ 11111 ■111 ~; C,,Nmnsus KR.IGINMTKX L.lC(X.AXXXXG AXXXXMPXTX RXO-GXVXXVG VKVXPWIPTX ® • ® l I I iipN lK>V(S ~Hl!lli!Wiofflij 1!11.llofJiillj mllB~lijftlt flol=fiolill ••t-il-~MM ~9 llpN p~ra HfHJoffit:torti ilffllGNillm miJllt~ttiollf ~•01:101111 llm:l:l1IA@~ iOO C,,nstmsus XXRXLXXGRS Vt IOGNT.LDP i LOt.MLSXXR XXGXOG.I...XVO ODXXXSR:AXM t2:;: i-/4~~ ! l 1 I~~~~b;:: llllil~l:1:1 llil 111111:1~:111~ 1111111::;1 1lllilllll: ~:~ C,,nimnsus XXXXXXXPGP QtHVDVXXI...X XPGPAGXIPA RHYRPXGGXX QXPt.l...VFYHG Consl:lrvat,ofl -:§;::. -
Expression Gene Network Analyses Reveal Molecular Mechanisms And
www.nature.com/scientificreports OPEN Diferential expression and co- expression gene network analyses reveal molecular mechanisms and candidate biomarkers involved in breast muscle myopathies in chicken Eva Pampouille1,2, Christelle Hennequet-Antier1, Christophe Praud1, Amélie Juanchich1, Aurélien Brionne1, Estelle Godet1, Thierry Bordeau1, Fréderic Fagnoul2, Elisabeth Le Bihan-Duval1 & Cécile Berri1* The broiler industry is facing an increasing prevalence of breast myopathies, such as white striping (WS) and wooden breast (WB), and the precise aetiology of these occurrences remains poorly understood. To progress our understanding of the structural changes and molecular pathways involved in these myopathies, a transcriptomic analysis was performed using an 8 × 60 K Agilent chicken microarray and histological study. The study used pectoralis major muscles from three groups: slow-growing animals (n = 8), fast-growing animals visually free from defects (n = 8), or severely afected by both WS and WB (n = 8). In addition, a weighted correlation network analysis was performed to investigate the relationship between modules of co-expressed genes and histological traits. Functional analysis suggested that selection for fast growing and breast meat yield has progressively led to conditions favouring metabolic shifts towards alternative catabolic pathways to produce energy, leading to an adaptive response to oxidative stress and the frst signs of infammatory, regeneration and fbrosis processes. All these processes are intensifed in muscles afected by severe myopathies, in which new mechanisms related to cellular defences and remodelling seem also activated. Furthermore, our study opens new perspectives for myopathy diagnosis by highlighting fne histological phenotypes and genes whose expression was strongly correlated with defects. Te poultry industry relies on the production of fast-growing chickens, which are slaughtered at high weights and intended for cutting and processing. -
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. -
Sequence Analysis of Familial Neurodevelopmental Disorders
SEQUENCE ANALYSIS OF FAMILIAL NEURODEVELOPMENTAL DISORDERS by Joseph Mark Tilghman A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland December 2020 © 2020 Joseph Tilghman All Rights Reserved Abstract: In the practice of human genetics, there is a gulf between the study of Mendelian and complex inheritance. When diagnosis of families affected by presumed monogenic syndromes is undertaken by genomic sequencing, these families are typically considered to have been solved only when a single gene or variant showing apparently Mendelian inheritance is discovered. However, about half of such families remain unexplained through this approach. On the other hand, common regulatory variants conferring low risk of disease still predominate our understanding of individual disease risk in complex disorders, despite rapidly increasing access to rare variant genotypes through sequencing. This dissertation utilizes primarily exome sequencing across several developmental disorders (having different levels of genetic complexity) to investigate how to best use an individual’s combination of rare and common variants to explain genetic risk, phenotypic heterogeneity, and the molecular bases of disorders ranging from those presumed to be monogenic to those known to be highly complex. The study described in Chapter 2 addresses putatively monogenic syndromes, where we used exome sequencing of four probands having syndromic neurodevelopmental disorders from an Israeli-Arab founder population to diagnose recessive and dominant disorders, highlighting the need to consider diverse modes of inheritance and phenotypic heterogeneity. In the study described in Chapter 3, we address the case of a relatively tractable multifactorial disorder, Hirschsprung disease. -
Functional Annotations of Single-Nucleotide Polymorphism
CLINICAL RESEARCH e-ISSN 1643-3750 © Med Sci Monit, 2020; 26: e922710 DOI: 10.12659/MSM.922710 Received: 2020.01.08 Accepted: 2020.02.20 Functional Annotations of Single-Nucleotide Available online: 2020.03.30 Published: 2020.05.25 Polymorphism (SNP)-Based and Gene-Based Genome-Wide Association Studies Show Genes Affecting Keratitis Susceptibility Authors’ Contribution: BCDEF 1 Yue Xu* 1 Department of Ophthalmology, First Affiliated Hospital of Soochow University, Study Design A BCDEF 2 Xiao-Lin Yang* Suzhou, Jiangsu, P.R. China Data Collection B 2 Center for Genetic Epidemiology and Genomics, School of Public Health, Medical Statistical Analysis C BCD 1 Xiao-Long Yang College of Soochow University, Suzhou, Jiangsu, P.R. China Data Interpretation D BC 1 Ya-Ru Ren Manuscript Preparation E BC 1 Xin-Yu Zhuang Literature Search F Funds Collection G ADE 2 Lei Zhang ADE 1 Xiao-Feng Zhang * Yue Xu and Xiao-Lin Yang contributed equally Corresponding Authors: Xiao-Feng Zhang, e-mail: [email protected], Lei Zhang, e-mail: [email protected] Source of support: Departmental sources Background: Keratitis is a complex condition in humans and is the second most common cause of legal blindness worldwide. Material/Methods: To reveal the genomic loci underlying keratitis, we performed functional annotations of SNP-based and gene- based genome-wide association studies of keratitis in the UK Biobank (UKB) cohort with 337 199 subjects of European ancestry. Results: The publicly available SNP-based association results showed a total of 34 SNPs, from 14 distinct loci, associated with keratitis in the UKB. Gene-based association analysis identified 2 significant genes:IQCF3 (p=2.0×10–6) and SOD3 (p=2.0×10–6). -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study. -
Systematic Data-Querying of Large Pediatric Biorepository Identifies Novel Ehlers-Danlos Syndrome Variant Akshatha Desai1, John J
Desai et al. BMC Musculoskeletal Disorders (2016) 17:80 DOI 10.1186/s12891-016-0936-8 RESEARCH ARTICLE Open Access Systematic data-querying of large pediatric biorepository identifies novel Ehlers-Danlos Syndrome variant Akshatha Desai1, John J. Connolly1, Michael March1, Cuiping Hou1, Rosetta Chiavacci1, Cecilia Kim1, Gholson Lyon1, Dexter Hadley1 and Hakon Hakonarson1,2* Abstract Background: Ehlers Danlos Syndrome is a rare form of inherited connective tissue disorder, which primarily affects skin, joints, muscle, and blood cells. The current study aimed at finding the mutation that causing EDS type VII C also known as “Dermatosparaxis” in this family. Methods: Through systematic data querying of the electronic medical records (EMRs) of over 80,000 individuals, we recently identified an EDS family that indicate an autosomal dominant inheritance. The family was consented for genomic analysis of their de-identified data. After a negative screen for known mutations, we performed whole genome sequencing on the male proband, his affected father, and unaffected mother. We filtered the list of non- synonymous variants that are common between the affected individuals. Results: The analysis of non-synonymous variants lead to identifying a novel mutation in the ADAMTSL2 (p. Gly421Ser) gene in the affected individuals. Sanger sequencing confirmed the mutation. Conclusion: Our work is significant not only because it sheds new light on the pathophysiology of EDS for the affected family and the field at large, but also because it demonstrates the utility of unbiased large-scale clinical recruitment in deciphering the genetic etiology of rare mendelian diseases. With unbiased large-scale clinical recruitment we strive to sequence as many rare mendelian diseases as possible, and this work in EDS serves as a successful proof of concept to that effect. -
Binding Mode Exploration of B1 Receptor Antagonists' by the Use of Molecular Dynamics and Docking Simulation—How Different T
International Journal of Molecular Sciences Article Binding Mode Exploration of B1 Receptor Antagonists’ by the Use of Molecular Dynamics and Docking Simulation—How Different Target Engagement Can Determine Different Biological Effects Marica Gemei 1,*, Carmine Talarico 1 , Laura Brandolini 1, Candida Manelfi 1, Lorena Za 2, Silvia Bovolenta 2, Chiara Liberati 2, Luigi Del Vecchio 3, Roberto Russo 4 , Carmen Cerchia 4, Marcello Allegretti 1 and Andrea Rosario Beccari 1 1 Dompé Farmaceutici SpA, via Campo di Pile, 67100 L’Aquila, Italy; [email protected] (C.T.); [email protected] (L.B.); candida.manelfi@dompe.com (C.M.); [email protected] (M.A.); [email protected] (A.R.B.) 2 Axxam, Via Meucci 3, Bresso, 20091 Milano, Italy; [email protected] (L.Z.); [email protected] (S.B.); [email protected] (C.L.) 3 Ceinge Biotecnologie Avanzate, via G. Salvatore 486, 80145 Napoli, Italy; [email protected] 4 Department of Pharmacy, University of Naples “Federico II”, via D. Montesano, 49, 80131 Napoli, Italy; [email protected] (R.R.); [email protected] (C.C.) * Correspondence: [email protected]; Tel.: +34-06-465916 Received: 26 August 2020; Accepted: 12 October 2020; Published: 16 October 2020 Abstract: The kinin B1 receptor plays a critical role in the chronic phase of pain and inflammation. The development of B1 antagonists peaked in recent years but almost all promising molecules failed in clinical trials. Little is known about these molecules’ mechanisms of action and additional information will be necessary to exploit the potential of the B1 receptor. -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
CDH12 Cadherin 12, Type 2 N-Cadherin 2 RPL5 Ribosomal
5 6 6 5 . 4 2 1 1 1 2 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 A A A A A A A A A A A A A A A A A A A A C C C C C C C C C C C C C C C C C C C C R R R R R R R R R R R R R R R R R R R R B , B B B B B B B B B B B B B B B B B B B , 9 , , , , 4 , , 3 0 , , , , , , , , 6 2 , , 5 , 0 8 6 4 , 7 5 7 0 2 8 9 1 3 3 3 1 1 7 5 0 4 1 4 0 7 1 0 2 0 6 7 8 0 2 5 7 8 0 3 8 5 4 9 0 1 0 8 8 3 5 6 7 4 7 9 5 2 1 1 8 2 2 1 7 9 6 2 1 7 1 1 0 4 5 3 5 8 9 1 0 0 4 2 5 0 8 1 4 1 6 9 0 0 6 3 6 9 1 0 9 0 3 8 1 3 5 6 3 6 0 4 2 6 1 0 1 2 1 9 9 7 9 5 7 1 5 8 9 8 8 2 1 9 9 1 1 1 9 6 9 8 9 7 8 4 5 8 8 6 4 8 1 1 2 8 6 2 7 9 8 3 5 4 3 2 1 7 9 5 3 1 3 2 1 2 9 5 1 1 1 1 1 1 5 9 5 3 2 6 3 4 1 3 1 1 4 1 4 1 7 1 3 4 3 2 7 6 4 2 7 2 1 2 1 5 1 6 3 5 6 1 3 6 4 7 1 6 5 1 1 4 1 6 1 7 6 4 7 e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m