Global Gene Expression Profiles Reveal Significant Nuclear Reprogramming by the Blastocyst Stage After Cloning
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Cooperativity of Imprinted Genes Inactivated by Acquired Chromosome 20Q Deletions
Cooperativity of imprinted genes inactivated by acquired chromosome 20q deletions Athar Aziz, … , Anne C. Ferguson-Smith, Anthony R. Green J Clin Invest. 2013;123(5):2169-2182. https://doi.org/10.1172/JCI66113. Research Article Oncology Large regions of recurrent genomic loss are common in cancers; however, with a few well-characterized exceptions, how they contribute to tumor pathogenesis remains largely obscure. Here we identified primate-restricted imprinting of a gene cluster on chromosome 20 in the region commonly deleted in chronic myeloid malignancies. We showed that a single heterozygous 20q deletion consistently resulted in the complete loss of expression of the imprinted genes L3MBTL1 and SGK2, indicative of a pathogenetic role for loss of the active paternally inherited locus. Concomitant loss of both L3MBTL1 and SGK2 dysregulated erythropoiesis and megakaryopoiesis, 2 lineages commonly affected in chronic myeloid malignancies, with distinct consequences in each lineage. We demonstrated that L3MBTL1 and SGK2 collaborated in the transcriptional regulation of MYC by influencing different aspects of chromatin structure. L3MBTL1 is known to regulate nucleosomal compaction, and we here showed that SGK2 inactivated BRG1, a key ATP-dependent helicase within the SWI/SNF complex that regulates nucleosomal positioning. These results demonstrate a link between an imprinted gene cluster and malignancy, reveal a new pathogenetic mechanism associated with acquired regions of genomic loss, and underline the complex molecular and cellular consequences of “simple” cancer-associated chromosome deletions. Find the latest version: https://jci.me/66113/pdf Research article Cooperativity of imprinted genes inactivated by acquired chromosome 20q deletions Athar Aziz,1,2 E. Joanna Baxter,1,2,3 Carol Edwards,4 Clara Yujing Cheong,5 Mitsuteru Ito,4 Anthony Bench,3 Rebecca Kelley,1,2 Yvonne Silber,1,2 Philip A. -
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. -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
Imprinting of the Human L3MBTL Gene, a Polycomb Family Member Located in a Region of Chromosome 20 Deleted in Human Myeloid Malignancies
Correction GENETICS Correction for “Imprinting of the human L3MBTL gene, a poly- The authors note that a mistake occurred during the prepa- comb family member located in a region of chromosome 20 deleted ration of Fig. 1B. Three control lanes (6, 7, and 8) were inad- in human myeloid malignancies,” by Juan Li, Anthony J. Bench, vertently duplicated and also shown as lanes 3, 4, and 5. This George S. Vassiliou, Nasios Fourouclas, Anne C. Ferguson-Smith, resulted from a technical error during preparation of the figure and Anthony R. Green, first published April 30, 2004; 10.1073/ and does not alter any of the conclusions of the paper. The pnas.0308195101 (Proc. Natl. Acad. Sci. U.S.A. 101, 7341–7346). corrected figure and the unaltered figure legend appear below. A CORRECTION B C Fig. 1. Allelic methylation of the L3MBTL gene. (A) Locus of the L3MBTL gene and intron/exon structure of its 5′ and 3′ regions. Coding and noncoding exons are shown in black and gray boxes, respectively. Bent arrows indicate two putative promoters. Patterned horizontal bars represent the four CpG islands. Asterisks indicate the locations of SNPs used in the study, and primers spanning the respective SNPs are indicated (P1–P8). (B) Methylation analysis of the CpG island 3 by using SSCP. Lane 1, universally methylated genomic control DNA; lanes 2–5, normal bone marrow; lanes 6–9, normal granulocytes; lanes 10–13, granulocytes from patients, with an acquired 20q deletion. (C) Bisulfite sequencing of CpG island 3. Sequences relate to samples corresponding to individual lanes from B, as indicated. -
1 Inventory of Supplemental Information Presented in Relation To
Inventory of Supplemental Information presented in relation to each of the main figures in the manuscript 1. Figure S1. Related to Figure 1. 2. Figure S2. Related to Figure 2. 3. Figure S3. Related to Figure 3. 4. Figure S4. Related to Figure 4. 5. Figure S5. Related to Figure 5. 6. Figure S6. Related to Figure 6. 7. Figure S7. Related to Figure 7. 8. Table S1. Related to Figures 1 and S1. 9. Table S2. Related to Figures 3, 4, 6 and 7. 10. Table S3. Related to Figure 3. Supplemental Experimental Procedures 1. Patients and samples 2. Cell culture 3. Long term culture-initiating cells (LTC-IC) assay 4. Differentiation of CD34+ cord blood cells 5. Bi-phasic erythroid differentiation assay 6. Clonal assay 7. Mutation and sequencing analysis 8. Bisulphite sequencing and quantitative pyrosequencing 9. Human SNP genotyping 10. Strand-specific cDNA synthesis and PCR 11. Chromatin Immuno-precipitation (ChIP) 12. Immunoprecipitation and western blot 13. Colony genotyping 14. shRNA generation and viral infection 15. Retrovirus generation and transduction 16. Study approval 17. Statistical Methods 18. Primers list Supplementary References (19) 1 Additional SGK2 families 2 3 4 ♂ ♀ ♂ ♀ ♂ ♀ C/G C/C C/C C/G C/C C/G ♀ ♀ ♂ ♀ C/G C/G C/G C/G T T C T G C T A G A T T C T C C T A G A T T C T C C T A G A T T C T C C T A G A T-Cells T-Cells T-Cells T-Cells Additional GDAP1L1 familiy 2 ♂ ♀ G/G A/A ♀ G/A A C A C G G T G Erythroblasts Figure S1 - . -
Proteomic Expression Profile in Human Temporomandibular Joint
diagnostics Article Proteomic Expression Profile in Human Temporomandibular Joint Dysfunction Andrea Duarte Doetzer 1,*, Roberto Hirochi Herai 1 , Marília Afonso Rabelo Buzalaf 2 and Paula Cristina Trevilatto 1 1 Graduate Program in Health Sciences, School of Medicine, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba 80215-901, Brazil; [email protected] (R.H.H.); [email protected] (P.C.T.) 2 Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil; [email protected] * Correspondence: [email protected]; Tel.: +55-41-991-864-747 Abstract: Temporomandibular joint dysfunction (TMD) is a multifactorial condition that impairs human’s health and quality of life. Its etiology is still a challenge due to its complex development and the great number of different conditions it comprises. One of the most common forms of TMD is anterior disc displacement without reduction (DDWoR) and other TMDs with distinct origins are condylar hyperplasia (CH) and mandibular dislocation (MD). Thus, the aim of this study is to identify the protein expression profile of synovial fluid and the temporomandibular joint disc of patients diagnosed with DDWoR, CH and MD. Synovial fluid and a fraction of the temporomandibular joint disc were collected from nine patients diagnosed with DDWoR (n = 3), CH (n = 4) and MD (n = 2). Samples were subjected to label-free nLC-MS/MS for proteomic data extraction, and then bioinformatics analysis were conducted for protein identification and functional annotation. The three Citation: Doetzer, A.D.; Herai, R.H.; TMD conditions showed different protein expression profiles, and novel proteins were identified Buzalaf, M.A.R.; Trevilatto, P.C. -
Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications
Stem Cell Rev and Rep DOI 10.1007/s12015-016-9662-8 Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications Behnam Ahmadian Baghbaderani 1 & Adhikarla Syama2 & Renuka Sivapatham3 & Ying Pei4 & Odity Mukherjee2 & Thomas Fellner1 & Xianmin Zeng3,4 & Mahendra S. Rao5,6 # The Author(s) 2016. This article is published with open access at Springerlink.com Abstract We have recently described manufacturing of hu- help determine which set of tests will be most useful in mon- man induced pluripotent stem cells (iPSC) master cell banks itoring the cells and establishing criteria for discarding a line. (MCB) generated by a clinically compliant process using cord blood as a starting material (Baghbaderani et al. in Stem Cell Keywords Induced pluripotent stem cells . Embryonic stem Reports, 5(4), 647–659, 2015). In this manuscript, we de- cells . Manufacturing . cGMP . Consent . Markers scribe the detailed characterization of the two iPSC clones generated using this process, including whole genome se- quencing (WGS), microarray, and comparative genomic hy- Introduction bridization (aCGH) single nucleotide polymorphism (SNP) analysis. We compare their profiles with a proposed calibra- Induced pluripotent stem cells (iPSCs) are akin to embryonic tion material and with a reporter subclone and lines made by a stem cells (ESC) [2] in their developmental potential, but dif- similar process from different donors. We believe that iPSCs fer from ESC in the starting cell used and the requirement of a are likely to be used to make multiple clinical products. We set of proteins to induce pluripotency [3]. Although function- further believe that the lines used as input material will be used ally identical, iPSCs may differ from ESC in subtle ways, at different sites and, given their immortal status, will be used including in their epigenetic profile, exposure to the environ- for many years or even decades. -
Cellular Functions of Genetically Imprinted Genes in Human and Mouse As Annotated in the Gene Ontology
Cellular Functions of Genetically Imprinted Genes in Human and Mouse as Annotated in the Gene Ontology Mohamed Hamed1, Siba Ismael1, Martina Paulsen2, Volkhard Helms1* 1 Center for Bioinformatics, Saarland University, Saarbru¨cken, Germany, 2 Department of Genetics, Saarland University, Saarbru¨cken, Germany Abstract By analyzing the cellular functions of genetically imprinted genes as annotated in the Gene Ontology for human and mouse, we found that imprinted genes are often involved in developmental, transport and regulatory processes. In the human, paternally expressed genes are enriched in GO terms related to the development of organs and of anatomical structures. In the mouse, maternally expressed genes regulate cation transport as well as G-protein signaling processes. Furthermore, we investigated if imprinted genes are regulated by common transcription factors. We identified 25 TF families that showed an enrichment of binding sites in the set of imprinted genes in human and 40 TF families in mouse. In general, maternally and paternally expressed genes are not regulated by different transcription factors. The genes Nnat, Klf14, Blcap, Gnas and Ube3a contribute most to the enrichment of TF families. In the mouse, genes that are maternally expressed in placenta are enriched for AP1 binding sites. In the human, we found that these genes possessed binding sites for both, AP1 and SP1. Citation: Hamed M, Ismael S, Paulsen M, Helms V (2012) Cellular Functions of Genetically Imprinted Genes in Human and Mouse as Annotated in the Gene Ontology. PLoS ONE 7(11): e50285. doi:10.1371/journal.pone.0050285 Editor: Osman El-Maarri, University of Bonn, Institut of experimental hematology and transfusion medicine, Germany Received June 23, 2012; Accepted October 23, 2012; Published November 30, 2012 Copyright: ß 2012 Hamed et al. -
Dedifferentiation, Transdifferentiation, and Reprogramming: Future Directions in Regenerative Medicine
82 Dedifferentiation, Transdifferentiation, and Reprogramming: Future Directions in Regenerative Medicine Cristina Eguizabal, PhD1 Nuria Montserrat, PhD1 Anna Veiga, PhD1,2 Juan Carlos Izpisua Belmonte, PhD1,3 1 Center for Regenerative Medicine in Barcelona Address for correspondence and reprint requests Juan Carlos Izpisua 2 Reproductive Medicine Service, Institut Universitari Dexeus, Belmonte, PhD, Gene Expression Laboratory, The Salk Institute for Barcelona, Spain Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 93027 3 Gene Expression Laboratory, The Salk Institute for Biological Studies, (e-mail: [email protected]). La Jolla, California Semin Reprod Med 2013;31:82–94 Abstract The main goal of regenerative medicine is to replace damaged tissue. To do this it is Keywords necessary to understand in detail the whole regeneration process including differenti- ► regenerative ated cells that can be converted into progenitor cells (dedifferentiation), cells that can medicine switch into another cell type (transdifferentiation), and somatic cells that can be ► stem cells induced to become pluripotent cells (reprogramming). By studying the regenerative ► dedifferentiation processes in both nonmammal and mammal models, natural or artificial processes ► transdifferentiation could underscore the molecular and cellular mechanisms behind these phenomena and ► reprogramming be used to create future regenerative strategies for humans. To understand any regenerative system, it is crucial to find the potency and differentiate and how they can revert to pluri- cellular origins of renewed tissues. Using techniques like potency (reprogramming) or switch lineages (dedifferentia- genetic lineage tracing and single-cell transplantation helps tion and transdifferentiation). to identify the route of regenerative sources. These tools were We synthesize the studies of different model systems to developed first in nonmammal models (flies, amphibians, and highlight recent insights that are integrating the field. -
Cell Reprogramming: Expectations and Challenges for Chemistry in Stem Cell Biology and Regenerative Medicine
Cell Death and Differentiation (2010) 17, 1230–1237 & 2010 Macmillan Publishers Limited All rights reserved 1350-9047/10 $32.00 www.nature.com/cdd Review Cell reprogramming: expectations and challenges for chemistry in stem cell biology and regenerative medicine L Anastasia*,1,2, G Pelissero2, B Venerando1,2 and G Tettamanti2 The possibility of reprogramming adult somatic cells into pluripotent stem cells (iPSCs) has generated a renewed interest into stem cell research and promises to overcome several key issues, including the ethical concerns of using human embryonic stem cells and the difficulty of obtaining large numbers of adult stem cells (Belmonte et al., Nat Rev Genet, 2009). This approach is also not free from challenges like the mechanism of the reprogramming process, which has yet to be elucidated, and the warranties for safety of generated pluripotent cells, especially in view of their possible therapeutic use. Very recently, several new reprogramming methods have surfaced, which seem to be more appropriate than genetic reprogramming. Particularly, chemically induced pluripotent cells (CiPSs), obtained with recombinant proteins or small synthetic molecules, may represent a valid approach, simpler and possibly safer than the other ones. Cell Death and Differentiation (2010) 17, 1230–1237; doi:10.1038/cdd.2010.14; published online 19 February 2010 Stem cells and cell reprogramming have generated an vitro to large numbers, in contrast to adult stem cells, that enormous interest in the past 2 years, since the generation normally possess very low self-renewal in vitro, and (3) iPSCs of induced pluripotent stem cells (iPSCs) from mouse can be patient customized, because they can be generated embryonic fibroblasts was first reported by Yamanaka and from an easily accessible source, that is fibroblasts, obtain- coworkers in 2006.1,2 In fact, it was shown that the forced able from any individual (Figure 1). -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M. -
Ranking Genes by Their Co-Expression to Subsets of Pathway Members
THE CHALLENGES OF SYSTEMS BIOLOGY Ranking Genes by Their Co-expression to Subsets of Pathway Members a, a,c, b Priit Adler, § Hedi Peterson, § Phaedra Agius, Juri¨ Reimand,b,d and Jaak Vilob,c aInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia bInstitute of Computer Science, University of Tartu, Tartu, Estonia cQuretec Ltd., Tartu, Estonia dEMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom Cellular processes are often carried out by intricate systems of interacting genes and proteins. Some of these systems are rather well studied and described in pathway databases, while the roles and functions of the majority of genes are poorly understood. A large compendium of public microarray data is available that covers a variety of con- ditions, samples, and tissues and provides a rich source for genome-scale information. We focus our study on the analysis of 35 curated biological pathways in the context of gene co-expression over a large variety of biological conditions. By defining a global co-expression similarity rank for each gene and pathway, we perform exhaustive leave- one-out computations to describe existing pathway memberships using other members of the corresponding pathway as reference. We demonstrate that while successful in recovering biological base processes such as metabolism and translation, the global correlation measure fails to detect gene memberships in signaling pathways where co- expression is less evident. Our results also show that pathway membership detection is more effective when using only a subset of corresponding pathway members as ref- erence, supporting the existence of more tightly co-expressed subsets of genes within pathways.