ZFP226 Is a Novel Artificial Transcription Factor for Selective
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A Case of Prenatal Diagnosis of 18P Deletion Syndrome Following
Zhao et al. Molecular Cytogenetics (2019) 12:53 https://doi.org/10.1186/s13039-019-0464-y CASE REPORT Open Access A case of prenatal diagnosis of 18p deletion syndrome following noninvasive prenatal testing Ganye Zhao, Peng Dai, Shanshan Gao, Xuechao Zhao, Conghui Wang, Lina Liu and Xiangdong Kong* Abstract Background: Chromosome 18p deletion syndrome is a disease caused by the complete or partial deletion of the short arm of chromosome 18, there were few cases reported about the prenatal diagnosis of 18p deletion syndrome. Noninvasive prenatal testing (NIPT) is widely used in the screening of common fetal chromosome aneuploidy. However, the segmental deletions and duplications should also be concerned. Except that some cases had increased nuchal translucency or holoprosencephaly, most of the fetal phenotype of 18p deletion syndrome may not be evident during the pregnancy, 18p deletion syndrome was always accidentally discovered during the prenatal examination. Case presentations: In our case, we found a pure partial monosomy 18p deletion during the confirmation of the result of NIPT by copy number variation sequencing (CNV-Seq). The result of NIPT suggested that there was a partial or complete deletion of X chromosome. The amniotic fluid karyotype was normal, but result of CNV-Seq indicated a 7.56 Mb deletion on the short arm of chromosome 18 but not in the couple, which means the deletion was de novo deletion. Finally, the parents chose to terminate the pregnancy. Conclusions: To our knowledge, this is the first case of prenatal diagnosis of 18p deletion syndrome following NIPT.NIPT combined with ultrasound may be a relatively efficient method to screen chromosome microdeletions especially for the 18p deletion syndrome. -
PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Systematic Identification of Recognition Motifs for the Hub Protein
Published Online: 2 July, 2019 | Supp Info: http://doi.org/10.26508/lsa.201900366 Downloaded from life-science-alliance.org on 25 September, 2021 Research Article Systematic identification of recognition motifs for the hub protein LC8 Nathan Jespersen1 , Aidan Estelle1, Nathan Waugh1 , Norman E Davey2, Cecilia Blikstad3 , York-Christoph Ammon4, Anna Akhmanova4, Ylva Ivarsson3, David A Hendrix1,5, Elisar Barbar1 Hub proteins participate in cellular regulation by dynamic binding of extensively studied, including the dynein intermediate chain (IC) multiple proteins within interaction networks. The hub protein LC8 (Makokha et al, 2002; Benison et al, 2006; Nyarko & Barbar, 2011) and reversibly interacts with more than 100 partners through a flexible the transcription factor ASCIZ (Jurado et al, 2012; Zaytseva et al, 2014; pocket at its dimer interface. To explore the diversity of the LC8 Clark et al, 2018). In addition, expression patterns show that LC8 is partner pool, we screened for LC8 binding partners using a proteomic highly expressed across a wide variety of cell types (Petryszak et al, phage display library composed of peptides from the human pro- 2016) and is broadly distributed within individual cells (Chen et al, teome, which had no bias toward a known LC8 motif. Of the identified 2009; Wang et al, 2016). hits, we validated binding of 29 peptides using isothermal titration LC8 is an 89–amino acid homodimeric protein first identified as a calorimetry.Ofthe29peptides,19were entirely novel, and all had the subunit of the dynein motor complex. Colocalization and binding canonical TQT motif anchor. A striking observation is that numerous studies with dynein led to a common perception that LC8 functions peptides containing the TQT anchor do not bind LC8, indicating that as a dynein “cargo adaptor” to facilitate transport of dynein cargo residues outside of the anchor facilitate LC8 interactions. -
Increased ACTL6A Occupancy Within Mswi/SNF Chromatin Remodelers
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435873; this version posted March 22, 2021. 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. Increased ACTL6A Occupancy Within mSWI/SNF Chromatin Remodelers Drives Human Squamous Cell Carcinoma Chiung-Ying Chang1,2,7, Zohar Shipony3,7, Ann Kuo1,2, Kyle M. Loh4,5, William J. Greenleaf3,6, Gerald R. Crabtree1,2,5* 1Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA. 2Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA. 3Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. 4Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA. 5Department of Developmental Biology, Stanford University School of Medicine, Stanford, California 94305, USA. 6Department of Applied Physics, Stanford University, Stanford, California 94305, USA. 7These authors contributed equally. *Corresponding author: Gerald R. Crabtree, [email protected] Summary Mammalian SWI/SNF (BAF) chromatin remodelers play dosage-sensitive roles in many human malignancies and neurologic disorders. The gene encoding the BAF subunit, ACTL6A, is amplified at an early stage in the development of squamous cell carcinomas (SCCs), but its oncogenic role remains unclear. Here we demonstrate that ACTL6A overexpression leads to its stoichiometric assembly into BAF complexes and drives its interaction and engagement with specific regulatory regions in the genome. In normal epithelial cells, ACTL6A was sub-stoichiometric to other BAF subunits. However, increased ACTL6A levels by ectopic expression or in SCC cells led to near-saturation of ACTL6A within BAF complexes. -
Identification of Crucial Aberrantly Methylated and Differentially
Bioscience Reports (2020) 40 BSR20194365 https://doi.org/10.1042/BSR20194365 Research Article Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis 1,2,3,* 1,* 1,2,3 1 1 2,3 1 Xiaoling Ma , Jinhui Liu , Hui Wang ,YiJiang,YicongWan, Yankai Xia and Wenjun Cheng Downloaded from http://portlandpress.com/bioscirep/article-pdf/40/5/BSR20194365/879046/bsr-2019-4365.pdf by guest on 28 September 2021 1Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China; 2State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; 3State Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China Correspondence: Wenjun Cheng ([email protected]) or Yankai Xia ([email protected]) Methylation functions in the pathogenesis of cervical cancer. In the present study, we ap- plied an integrated bioinformatics analysis to identify the aberrantly methylated and dif- ferentially expressed genes (DEGS), and their related pathways in cervical cancer. Data of gene expression microarrays (GSE9750) and gene methylation microarrays (GSE46306) were gained from Gene Expression Omnibus (GEO) databases. Hub genes were identi- fied by ‘limma’ packages and Venn diagram tool. Functional analysis was conducted by FunRich. Search Tool for the Retrieval of Interacting Genes Database (STRING) was used to analyze protein–protein interaction (PPI) information. Gene Expression Profiling Interac- tive Analysis (GEPIA), immunohistochemistry staining, and ROC curve analysis were con- ducted for validation. Gene Set Enrichment Analysis (GSEA) was also performed to iden- tify potential functions.We retrieved two upregulated-hypomethylated oncogenes and eight downregulated-hypermethylated tumor suppressor genes (TSGs) for functional analysis. -
The Hippo Pathway Component Wwc2 Is a Key Regulator of Embryonic Development and Angiogenesis in Mice Anke Hermann1,Guangmingwu2, Pavel I
Hermann et al. Cell Death and Disease (2021) 12:117 https://doi.org/10.1038/s41419-021-03409-0 Cell Death & Disease ARTICLE Open Access The Hippo pathway component Wwc2 is a key regulator of embryonic development and angiogenesis in mice Anke Hermann1,GuangmingWu2, Pavel I. Nedvetsky1,ViktoriaC.Brücher3, Charlotte Egbring3, Jakob Bonse1, Verena Höffken1, Dirk Oliver Wennmann1, Matthias Marks4,MichaelP.Krahn 1,HansSchöler5,PeterHeiduschka3, Hermann Pavenstädt1 and Joachim Kremerskothen1 Abstract The WW-and-C2-domain-containing (WWC) protein family is involved in the regulation of cell differentiation, cell proliferation, and organ growth control. As upstream components of the Hippo signaling pathway, WWC proteins activate the Large tumor suppressor (LATS) kinase that in turn phosphorylates Yes-associated protein (YAP) and its paralog Transcriptional coactivator-with-PDZ-binding motif (TAZ) preventing their nuclear import and transcriptional activity. Inhibition of WWC expression leads to downregulation of the Hippo pathway, increased expression of YAP/ TAZ target genes and enhanced organ growth. In mice, a ubiquitous Wwc1 knockout (KO) induces a mild neurological phenotype with no impact on embryogenesis or organ growth. In contrast, we could show here that ubiquitous deletion of Wwc2 in mice leads to early embryonic lethality. Wwc2 KO embryos display growth retardation, a disturbed placenta development, impaired vascularization, and finally embryonic death. A whole-transcriptome analysis of embryos lacking Wwc2 revealed a massive deregulation of gene expression with impact on cell fate determination, 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; cell metabolism, and angiogenesis. Consequently, a perinatal, endothelial-specific Wwc2 KO in mice led to disturbed vessel formation and vascular hypersprouting in the retina. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
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 . -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Identification of Gene Fusion Transcripts by Transcriptome Sequencing In
Ha et al. BMC Medical Genomics 2011, 4:75 http://www.biomedcentral.com/1755-8794/4/75 RESEARCHARTICLE Open Access Identification of gene fusion transcripts by transcriptome sequencing in BRCA1-mutated breast cancers and cell lines Kevin CH Ha1,2, Emilie Lalonde1,2, Lili Li1,3,4, Luca Cavallone3,4, Rachael Natrajan5, Maryou B Lambros5, Costas Mitsopoulos5, Jarle Hakas5, Iwanka Kozarewa5, Kerry Fenwick5, Chris J Lord5, Alan Ashworth5, Anne Vincent-Salomon6, Mark Basik4,7,8, Jorge S Reis-Filho5, Jacek Majewski1,2 and William D Foulkes1,3,4,7* Abstract Background: Gene fusions arising from chromosomal translocations have been implicated in cancer. However, the role of gene fusions in BRCA1-related breast cancers is not well understood. Mutations in BRCA1 are associated with an increased risk for breast cancer (up to 80% lifetime risk) and ovarian cancer (up to 50%). We sought to identify putative gene fusions in the transcriptomes of these cancers using high-throughput RNA sequencing (RNA-Seq). Methods: We used Illumina sequencing technology to sequence the transcriptomes of five BRCA1-mutated breast cancer cell lines, three BRCA1-mutated primary tumors, two secretory breast cancer primary tumors and one non- tumorigenic breast epithelial cell line. Using a bioinformatics approach, our initial attempt at discovering putative gene fusions relied on analyzing single-end reads and identifying reads that aligned across exons of two different genes. Subsequently, latter samples were sequenced with paired-end reads and at longer cycles (producing longer reads). We then refined our approach by identifying misaligned paired reads, which may flank a putative gene fusion junction. -
PROTEOME of the HUMAN CHROMOSOME 18: GENE-CENTRIC IDENTIFICATION of TRANSCRIPTS, PROTEINS and PEPTIDES Addendum to the Roadmap
PROTEOME OF THE HUMAN CHROMOSOME 18: GENE-CENTRIC IDENTIFICATION OF TRANSCRIPTS, PROTEINS AND PEPTIDES Addendum to the Roadmap: HEALTH ASPECTS 1. PROTEOMICS MEETS MEDICINE At its very beginning, one of the goals of human proteomics became a disease biomarker discovery. Many works compared diseased and normal tissues and liquids to get diagnostic profiles by many proteomics methods. Of them, some cancer proteome profiling studies were considered too optimistic in terms of clinical applicability due to incorrect experimental design [Petricoin], thereby conferring the negative expectations from proteomics in translational medicine [Diamantidis, Nature]. The interlaboratory reproducibility of proteomics pipelines also was considered as a shortage in some papers, e.g. in the works of Bell et al [2009] who tested the proteome MS methods with 20-protein standard sample. These difficulties at the early stage of proteomics were partly caused by the fact that many attempts were mostly directed to the technique adjustment rather than to the clinically relevant result. However, the recent advances in mass-spectrometry including the use of MRM to quantify peptides of proteome [Anderson Hunter 2006] made the community to have a view of cautious optimism on the problem of translation to medicine [Nilsson 2010]. A reproducibility problem stated in [Bell 2009] was shown to be mainly caused by the bioinformatics misinterpretation whereas the MS itself worked properly. The readiness of MRM-based platforms to the clinical use is illustrated by the attempt to pass FDA with the mock application which describes MS-based quantitation test for 10 proteins [Regnier FE 2010]. In its current state, the test has not got a clearance.