The Role of Co-Deleted Genes in Neurofibromatosis Type 1
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Figure 2S 4 7 A - C 080125 CSCs 080418 CSCs - + IFN-a 48 h + IFN-a 48 h + IFN-a 72 h 6 + IFN-a 72 h 3 5 MRFI 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 7 B 13 080125 FBS - D 080418 FBS - + IFN-a 48 h 12 + IFN-a 48 h + IFN-a 72 h + IFN-a 72 h 6 080125 FBS 11 10 5 9 8 4 7 6 3 MRFI 5 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 Molecule Molecule FIGURE 4S FIGURE 5S Panel A Panel B FIGURE 6S A B C D Supplemental Results Table 1S. Modulation by IFN-α of APM in GBM CSC and FBS tumor cell lines. Molecule * Cell line IFN-α‡ HLA β2-m# HLA LMP TAP1 TAP2 class II A A HC§ 2 7 10 080125 CSCs - 1∞ (1) 3 (65) 2 (91) 1 (2) 6 (47) 2 (61) 1 (3) 1 (2) 1 (3) + 2 (81) 11 (80) 13 (99) 1 (3) 8 (88) 4 (91) 1 (2) 1 (3) 2 (68) 080125 FBS - 2 (81) 4 (63) 4 (83) 1 (3) 6 (80) 3 (67) 2 (86) 1 (3) 2 (75) + 2 (99) 14 (90) 7 (97) 5 (75) 7 (100) 6 (98) 2 (90) 1 (4) 3 (87) 080418 CSCs - 2 (51) 1 (1) 1 (3) 2 (47) 2 (83) 2 (54) 1 (4) 1 (2) 1 (3) + 2 (81) 3 (76) 5 (75) 2 (50) 2 (83) 3 (71) 1 (3) 2 (87) 1 (2) 080418 FBS - 1 (3) 3 (70) 2 (88) 1 (4) 3 (87) 2 (76) 1 (3) 1 (3) 1 (2) + 2 (78) 7 (98) 5 (99) 2 (94) 5 (100) 3 (100) 1 (4) 2 (100) 1 (2) 070104 CSCs - 1 (2) 1 (3) 1 (3) 2 (78) 1 (3) 1 (2) 1 (3) 1 (3) 1 (2) + 2 (98) 8 (100) 10 (88) 4 (89) 3 (98) 3 (94) 1 (4) 2 (86) 2 (79) * expression of APM molecules was evaluated by intracellular staining and cytofluorimetric analysis; ‡ cells were treatead or not (+/-) for 72 h with 1000 IU/ml of IFN-α; # β-2 microglobulin; § β-2 microglobulin-free HLA-A heavy chain; ∞ values are indicated as ratio between the mean of fluorescence intensity of cells stained with the selected mAb and that of the negative control; bold values indicate significant MRFI (≥ 2). -
Molecular Genetic Analysis of Two Loci (Ity2 and Ity3) Involved in The
Copyright Ó 2007 by the Genetics Society of America DOI: 10.1534/genetics.107.075523 Molecular Genetic Analysis of Two Loci (Ity2 and Ity3) Involved in the Host Response to Infection With Salmonella Typhimurium Using Congenic Mice and Expression Profiling Vanessa Sancho-Shimizu,*,† Rabia Khan,*,† Serge Mostowy,† Line Larivie`re,† Rosalie Wilkinson,† Noe´mie Riendeau,† Marcel Behr† and Danielle Malo*,†,‡,1 *Department of Human Genetics, McGill University, Montreal, Quebec H3G 1A4, Canada and †Center for the Study of Host Resistance, McGill University Health Center, Montreal, Quebec H3G 1A4, Canada and ‡Department of Medicine, McGill University, Montreal, Quebec H3G 1A4, Canada Manuscript received May 4, 2007 Accepted for publication July 27, 2007 ABSTRACT Numerous genes have been identified to date that contribute to the host response to systemic Sal- monella Typhimurium infection in mice. We have previously identified two loci, Ity2 and Ity3, that control survival to Salmonella infection in the wild-derived inbred MOLF/Ei mouse using a (C57BL/6J 3 MOLF/ Ei)F2cross. We validated the existence of these two loci by creating congenic mice carrying each quan- titative trait locus (QTL) in isolation. Subcongenic mice generated for each locus allowed us to define the critical intervals underlying Ity2 and Ity3. Furthermore, expression profiling was carried out with the aim of identifying differentially expressed genes within the critical intervals as potential candidate genes. Genomewide expression arrays were used to interrogate expression differences in the Ity2 congenics, leading to the identification of a new candidate gene (Havcr2, hepatitis A virus cellular receptor 2). Interval-specific oligonucleotide arrays were created for Ity3, identifying one potential candidate gene (Chi3l1, chitinase 3-like 1) to be pursued further. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
A Genome‐Wide Association Study Highlights a Regulatory Role for IFNG‐AS1
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.13.903989; this version posted January 14, 2020. 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. A genome‐wide association study highlights a regulatory role for IFNG‐AS1 contributing to cutaneous leishmaniasis in Brazil Short title: A GWAS for cutaneous leishmaniasis in Brazil Léa C. Castellucci1,2,*, Lucas Almeida1,2,*, Svetlana Cherlin3,*, Michaela Fakiola4, Edgar Carvalho1, Amanda B. Figueiredo5, Clara M. Cavalcanti5, Natalia S. Alves5, Walderez O. Dutra1,6 , Kenneth J. Gollob1,5,7, Heather J. Cordell3 , and Jenefer M. Blackwell8,9 *Equal contributions 1National Institute of Science and Technology in Tropical Diseases, Brazil; 2Federal University of Bahia, Salvador, Brazil; 3Population Health Sciences Institute, Newcastle University, UK; 4INGM‐National Institute of Molecular Genetics "Romeo ed Enrica Invernizzi" Milan, Milan, Italy; 5International Center for Research, AC Camargo Cancer Center, São Paulo, Brazil; 6Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; 7Núcleo de Ensino e Pesquisa, Instituto Mario Penna, Belo Horizonte, Brazil; 8Department of Pathology, University of Cambridge, UK; 9Telethon Kids Institute, The University of Western Australia, Western Australia Corresponding author: Jenefer M. Blackwell ([email protected] Correspondence to: Jenefer M. Blackwell, PO Box 855, West Perth, Western Australia 6872; Hospital Avenue, Nedlands, Western Australia 6009; Phone: +61 8 63191000. Funding British Medical Research Council (MRC) MR/N017390/1, FAPEMIG grant in cooperation with MRC/CONFAP (CBB-APQ-00883-16), National Institute of Science and Technology in Tropical Diseases, Brazil (N° 573839/2008–5), CNPq (K.J.G. -
Human OMG Blocking Peptide (CDBP2120) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Human OMG blocking peptide (CDBP2120) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Product Overview Blocking/Immunizing peptide for anti-OMG antibody Antigen Description OMG (oligodendrocyte myelin glycoprotein) is a protein-coding gene. Diseases associated with OMG include patulous eustachian tube, and internuclear ophthalmoplegia, and among its related super-pathways are p75NTR regulates axonogenesis and Development MAG-dependent inhibition of neurite outgrowth. GO annotations related to this gene include identical protein binding. Nature Synthetic Expression System N/A Species Human Species Reactivity Human Conjugate Unconjugated Applications Apuri, BL, ELISA Procedure None Format Lyophilized powder Size 100 μg Preservative None Storage Shipped at ambient temperature, store at -20°C. ANTIGEN GENE INFORMATION Gene Name OMG oligodendrocyte myelin glycoprotein [ Homo sapiens ] Official Symbol OMG Synonyms OMG; oligodendrocyte myelin glycoprotein; oligodendrocyte-myelin glycoprotein; OMGP; Entrez Gene ID 4974 mRNA Refseq NM_002544 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved Protein Refseq NP_002535 UniProt ID P23515 Chromosome Location 17q11-q12 Pathway Axonal growth inhibition (RHOA activation), organism-specific biosystem; Signal Transduction, organism-specific biosystem; Signalling by NGF, organism-specific biosystem; p75 NTR receptor-mediated signalling, organism-specific biosystem; p75(NTR)-mediated signaling, organism-specific biosystem; p75NTR regulates axonogenesis, organism-specific biosystem; Function identical protein binding; 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 2 © Creative Diagnostics All Rights Reserved. -
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. -
Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes
[CANCER RESEARCH 64, 6453–6460, September 15, 2004] Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes Be´atrice Orsetti,1 Me´lanie Nugoli,1 Nathalie Cervera,1 Laurence Lasorsa,1 Paul Chuchana,1 Lisa Ursule,1 Catherine Nguyen,2 Richard Redon,3 Stanislas du Manoir,3 Carmen Rodriguez,1 and Charles Theillet1 1Ge´notypes et Phe´notypes Tumoraux, EMI229 INSERM/Universite´ Montpellier I, Montpellier, France; 2ERM 206 INSERM/Universite´ Aix-Marseille 2, Parc Scientifique de Luminy, Marseille cedex, France; and 3IGBMC, U596 INSERM/Universite´Louis Pasteur, Parc d’Innovation, Illkirch cedex, France ABSTRACT 17q12-q21 corresponding to the amplification of ERBB2 and collinear genes, and a large region at 17q23 (5, 6). A number of new candidate Chromosome 17 is severely rearranged in breast cancer. Whereas the oncogenes have been identified, among which GRB7 and TOP2A at short arm undergoes frequent losses, the long arm harbors complex 17q21 or RP6SKB1, TBX2, PPM1D, and MUL at 17q23 have drawn combinations of gains and losses. In this work we present a comprehensive study of quantitative anomalies at chromosome 17 by genomic array- most attention (6–10). Furthermore, DNA microarray studies have comparative genomic hybridization and of associated RNA expression revealed additional candidates, with some located outside current changes by cDNA arrays. We built a genomic array covering the entire regions of gains, thus suggesting the existence of additional amplicons chromosome at an average density of 1 clone per 0.5 Mb, and patterns of on 17q (8, 9). gains and losses were characterized in 30 breast cancer cell lines and 22 Our previous loss of heterozygosity mapping data pointed to the primary tumors. -
Essential Genes and Their Role in Autism Spectrum Disorder
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Essential Genes And Their Role In Autism Spectrum Disorder Xiao Ji University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, and the Genetics Commons Recommended Citation Ji, Xiao, "Essential Genes And Their Role In Autism Spectrum Disorder" (2017). Publicly Accessible Penn Dissertations. 2369. https://repository.upenn.edu/edissertations/2369 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2369 For more information, please contact [email protected]. Essential Genes And Their Role In Autism Spectrum Disorder Abstract Essential genes (EGs) play central roles in fundamental cellular processes and are required for the survival of an organism. EGs are enriched for human disease genes and are under strong purifying selection. This intolerance to deleterious mutations, commonly observed haploinsufficiency and the importance of EGs in pre- and postnatal development suggests a possible cumulative effect of deleterious variants in EGs on complex neurodevelopmental disorders. Autism spectrum disorder (ASD) is a heterogeneous, highly heritable neurodevelopmental syndrome characterized by impaired social interaction, communication and repetitive behavior. More and more genetic evidence points to a polygenic model of ASD and it is estimated that hundreds of genes contribute to ASD. The central question addressed in this dissertation is whether genes with a strong effect on survival and fitness (i.e. EGs) play a specific oler in ASD risk. I compiled a comprehensive catalog of 3,915 mammalian EGs by combining human orthologs of lethal genes in knockout mice and genes responsible for cell-based essentiality. -
Characterization of a 7.6-Mb Germline Deletion Encompassing the NF1 Locus and About a Hundred Genes in an NF1 Contiguous Gene Syndrome Patient
European Journal of Human Genetics (2008) 16, 1459–1466 & 2008 Macmillan Publishers Limited All rights reserved 1018-4813/08 $32.00 www.nature.com/ejhg ARTICLE Characterization of a 7.6-Mb germline deletion encompassing the NF1 locus and about a hundred genes in an NF1 contiguous gene syndrome patient Eric Pasmant*,1,2, Aure´lie de Saint-Trivier2, Ingrid Laurendeau1, Anne Dieux-Coeslier3, Be´atrice Parfait1,2, Michel Vidaud1,2, Dominique Vidaud1,2 and Ivan Bie`che1,2 1UMR745 INSERM, Universite´ Paris Descartes, Faculte´ des Sciences Pharmaceutiques et Biologiques, Paris, France; 2Service de Biochimie et de Ge´ne´tique Mole´culaire, Hoˆpital Beaujon AP-HP, Clichy, France; 3Service de Ge´ne´tique Clinique, Hoˆpital Jeanne de Flandre, Lille, France We describe a large germline deletion removing the NF1 locus, identified by heterozygosity mapping based on microsatellite markers, in an 8-year-old French girl with a particularly severe NF1 contiguous gene syndrome. We used gene-dose mapping with sequence-tagged site real-time PCR to locate the deletion end points, which were precisely characterized by means of long-range PCR and nucleotide sequencing. The deletion is located on chromosome arm 17q and is exactly 7 586 986 bp long. It encompasses the entire NF1 locus and about 100 other genes, including numerous chemokine genes, an attractive in silico-selected cerebrally expressed candidate gene (designated NUFIP2, for nuclear fragile X mental retardation protein interacting protein 2; NM_020772) and four microRNA genes. Interestingly, the centromeric breakpoint is located in intron 4 of the PIPOX gene (pipecolic acid oxidase; NM_016518) and the telomeric breakpoint in intron 5 of the GGNBP2 gene (gametogenetin binding protein 2; NM_024835) coding a transcription factor. -
Primepcr™Assay Validation Report
PrimePCR™Assay Validation Report Gene Information Gene Name Protein EVI2B Gene Symbol Evi2b Organism Mouse Gene Summary Description Not Available Gene Aliases Evi-2, Evi2 RefSeq Accession No. NC_000077.6, NT_096135.6 UniGene ID Not Available Ensembl Gene ID ENSMUSG00000093938 Entrez Gene ID 216984 Assay Information Unique Assay ID qMmuCEP0062720 Assay Type Probe - Validation information is for the primer pair using SYBR® Green detection Detected Coding Transcript(s) ENSMUST00000179322, ENSMUST00000170422 Amplicon Context Sequence ACAGTATAATCATGAGTATAGCTACCAACATAGAAATTATAATAGTACCGATTAAT ATGGCAGCAATTGCATTGTGGTTGTTTTTATGAGCAGTTCCTTTGCCACTTGGTG GTTCTGAAGTGAGTGGTGGTGGTGGTGGTGGTG Amplicon Length (bp) 114 Chromosome Location 11:79516072-79516215 Assay Design Exonic Purification Desalted Validation Results Efficiency (%) 95 R2 0.9997 cDNA Cq 22.69 cDNA Tm (Celsius) 79 gDNA Cq 24.61 Specificity (%) 49.93 Information to assist with data interpretation is provided at the end of this report. Page 1/4 PrimePCR™Assay Validation Report Evi2b, Mouse Amplification Plot Amplification of cDNA generated from 25 ng of universal reference RNA Melt Peak Melt curve analysis of above amplification Standard Curve Standard curve generated using 20 million copies of template diluted 10-fold to 20 copies Page 2/4 PrimePCR™Assay Validation Report Products used to generate validation data Real-Time PCR Instrument CFX384 Real-Time PCR Detection System Reverse Transcription Reagent iScript™ Advanced cDNA Synthesis Kit for RT-qPCR Real-Time PCR Supermix SsoAdvanced™ SYBR® Green Supermix Experimental Sample qPCR Mouse Reference Total RNA Data Interpretation Unique Assay ID This is a unique identifier that can be used to identify the assay in the literature and online. Detected Coding Transcript(s) This is a list of the Ensembl transcript ID(s) that this assay will detect. -
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE Bioinformatic
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE Bioinformatic Comparison of the EVI2A Promoter and Coding Regions A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Biology By Max Weinstein May 2020 The thesis of Max Weinstein is approved: Professor Rheem D. Medh Date Professor Virginia Oberholzer Vandergon Date Professor Cindy Malone, Chair Date California State University Northridge ii Table of Contents Signature Page ii List of Figures v Abstract vi Introduction 1 Ecotropic Viral Integration Site 2A, a Gene within a Gene 7 Materials and Methods 11 PCR and Cloning of Recombinant Plasmid 11 Transformation and Cell Culture 13 Generation of Deletion Constructs 15 Transfection and Luciferase Assay 16 Identification of Transcription Factor Binding Sites 17 Determination of Region for Analysis 17 Multiple Sequence Alignment (MSA) 17 Model Testing 18 Tree Construction 18 Promoter and CDS Conserved Motif Search 19 Results and Discussion 20 Choice of Species for Analysis 20 Mapping of Potential Transcription Factor Binding Sites 20 Confirmation of Plasmid Generation through Gel Electrophoresis 21 Analysis of Deletion Constructs by Transient Transfection 22 EVI2A Coding DNA Sequence Phylogenetics 23 EVI2A Promoter Phylogenetics 23 EVI2A Conserved Leucine Zipper 25 iii EVI2A Conserved Casein kinase II phosphorylation site 26 EVI2A Conserved Sox-5 Binding Site 26 EVI2A Conserved HLF Binding Site 27 EVI2A Conserved cREL Binding Site 28 EVI2A Conserved CREB Binding Site 28 Summary 29 Appendix: Figures 30 Literature Cited 44 iv List of Figures Figure 1. EVI2A is nested within the gene NF1 30 Figure 2 Putative Transcriptions Start Site 31 Figure 3. Gel Electrophoresis of pGC Blue cloned, Restriction Digested Plasmid 32 Figure 4. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.