Nonallelic Transvection of Multiple Imprinted Loci Is Organized by the H19 Imprinting Control Region During Germline Development
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Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Transcriptomic Analysis of the Aquaporin (AQP) Gene Family
Pancreatology 19 (2019) 436e442 Contents lists available at ScienceDirect Pancreatology journal homepage: www.elsevier.com/locate/pan Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma Dimitrios E. Magouliotis a, b, Vasiliki S. Tasiopoulou c, Konstantinos Dimas d, * Nikos Sakellaridis d, Konstantina A. Svokos e, Alexis A. Svokos f, Dimitris Zacharoulis b, a Division of Surgery and Interventional Science, Faculty of Medical Sciences, UCL, London, UK b Department of Surgery, University of Thessaly, Biopolis, Larissa, Greece c Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Larissa, Greece d Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Larissa, Greece e The Warren Alpert Medical School of Brown University, Providence, RI, USA f Riverside Regional Medical Center, Newport News, VA, USA article info abstract Article history: Background: This study aimed to assess the differential gene expression of aquaporin (AQP) gene family Received 14 October 2018 interactome in pancreatic ductal adenocarcinoma (PDAC) using data mining techniques to identify novel Received in revised form candidate genes intervening in the pathogenicity of PDAC. 29 January 2019 Method: Transcriptome data mining techniques were used in order to construct the interactome of the Accepted 9 February 2019 AQP gene family and to determine which genes members are differentially expressed in PDAC as Available online 11 February 2019 compared to controls. The same techniques were used in order to evaluate the potential prognostic role of the differentially expressed genes. Keywords: PDAC Results: Transcriptome microarray data of four GEO datasets were incorporated, including 142 primary Aquaporin tumor samples and 104 normal pancreatic tissue samples. -
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. -
Overlapping Role of SCYL1 and SCYL3 in Maintaining Motor Neuron Viability
The Journal of Neuroscience, March 7, 2018 • 38(10):2615–2630 • 2615 Neurobiology of Disease Overlapping Role of SCYL1 and SCYL3 in Maintaining Motor Neuron Viability Emin Kuliyev,1 Sebastien Gingras,4 XClifford S. Guy,1 Sherie Howell,2 Peter Vogel,3 and XStephane Pelletier1 1Departments of Immunology, 2Pathology, 3Veterinary Pathology Core, Advanced Histology Core, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, and 4Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213 Members of the SCY1-like (SCYL) family of protein kinases are evolutionarily conserved and ubiquitously expressed proteins character- ized by an N-terminal pseudokinase domain, centrally located Huntingtin, elongation factor 3, protein phosphatase 2A, yeast kinase TOR1 repeats, and an overall disorganized C-terminal segment. In mammals, three family members encoded by genes Scyl1, Scyl2, and Scyl3 have been described. Studies have pointed to a role for SCYL1 and SCYL2 in regulating neuronal function and viability in mice and humans, but little is known about the biological function of SCYL3. Here, we show that the biochemical and cell biological properties of SCYL3aresimilartothoseofSCYL1andbothproteinsworkinconjunctiontomaintainmotorneuronviability.Specifically,althoughlack of Scyl3 in mice has no apparent effect on embryogenesis and postnatal life, it accelerates the onset of the motor neuron disorder caused by Scyl1 deficiency. Growth abnormalities, motor dysfunction, hindlimb paralysis, muscle wasting, neurogenic atrophy, motor neuron degeneration, and loss of large-caliber axons in peripheral nerves occurred at an earlier age in Scyl1/Scyl3 double-deficient mice than in Scyl1-deficientmice.DiseaseonsetalsocorrelatedwiththemislocalizationofTDP-43inspinalmotorneurons,suggestingthatSCYL1and SCYL3 regulate TDP-43 proteostasis. Together, our results demonstrate an overlapping role for SCYL1 and SCYL3 in vivo and highlight the importance the SCYL family of proteins in regulating neuronal function and survival. -
Dissertation
DISSERTATION submitted to the Combined Faculty of Natural Sciences and Mathematics of the Ruperto Carola University Heidelberg, Germany for the degree of Doctor of Natural Sciences Presented by Manu Jain Goyal (M.Sc, Biotechnology) born in Kota, India Oral examination: 03.07.2019 Paralog specific role of COPI pathway in P19 neuronal differentiation Referees: Prof. Dr. Felix Wieland Dr. Julien Béthune This work has been carried out at the Biochemistry Center of the University of Heidelberg from January 2015 to January 2019 under the supervision of Dr. Julien Béthune. Acknowledgement I would like to thank Julien for giving me opportunity to be part of his team, for supervising me throughout my PhD. I appreciate that all the scientific discussions we have had helped me to improve my knowledge and thinking scientifically. Thank you so much for giving freedom in the lab to work independently and for handling the situations in a best possible way. Next, I would like to thank my TAC members Prof. Dr. Felix and Prof. Dr. Walter for giving suggestions and inputs for my project. Also providing me antibodies and equipments for my experiments. I would like to thank my examiners Prof Dr. Thomas Söllner and Prof. Dr. Marius Lemberg for considering it. I would like to thank all my team members and special thanks to Petra, Cinthia and Isabel for always supporting and helping me. Additionally, I would like to thank Alice and Laura for socializing together outside the BZH so that I can survive far away from my home country. I admire all the moments I had with you all. -
Consequences of Mitotic Loss of Heterozygosity on Genomic Imprinting in Mouse Embryonic Stem Cells
CONSEQUENCES OF MITOTIC LOSS OF HETEROZYGOSITY ON GENOMIC IMPRINTING IN MOUSE EMBRYONIC STEM CELLS by RACHEL LEIGH ELVES B.Sc., University of British Columbia, 2004 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIRMENTS FOR THE DEGREE OF MASTER OF SCIENCE in THE FACULTY OF GRADUATE STUDIES (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) August 2008 © Rachel Leigh Elves, 2008 Abstract Epigenetic differences between maternally inherited and paternally inherited chromosomes, such as CpG methylation, render the maternal and paternal genome functionally inequivalent, a phenomenon called genomic imprinting. This functional inequivalence is exemplified with imprinted genes, whose expression is parent-of-origin specific. The dosage of imprinted gene expression is disrupted in cells with uniparental disomy (UPD), which is an unequal parental contribution to the genome. I have derived mouse embryonic stem (ES) cell sub-lines with maternal UPD (mUPD) for mouse chromosome 6 (MMU6) to characterize regulation and maintenance of imprinted gene expression. The main finding from this study is that maintenance of imprinting in mitotic UPD is extremely variable. Imprint maintenance was shown to vary from gene to gene, and to vary between ES cell lines depending on the mechanism of loss of heterozygosity (LOH) in that cell line. Certain genes analyzed, such as Peg10 , Sgce , Peg1 , and Mit1 showed abnormal expression in ES cell lines for which they were mUPD. These abnormal expression levels are similar to that observed in ES cells with meiotically-derived full genome mUPD (parthenogenetic ES cells). Imprinted CpG methylation at the Peg1 promoter was found to be abnormal in all sub-lines with mUPD for Peg1 . -
Supplementary Table S2
1-high in cerebrotropic Gene P-value patients Definition BCHE 2.00E-04 1 Butyrylcholinesterase PLCB2 2.00E-04 -1 Phospholipase C, beta 2 SF3B1 2.00E-04 -1 Splicing factor 3b, subunit 1 BCHE 0.00022 1 Butyrylcholinesterase ZNF721 0.00028 -1 Zinc finger protein 721 GNAI1 0.00044 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 GNAI1 0.00049 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 PDE1B 0.00069 -1 Phosphodiesterase 1B, calmodulin-dependent MCOLN2 0.00085 -1 Mucolipin 2 PGCP 0.00116 1 Plasma glutamate carboxypeptidase TMX4 0.00116 1 Thioredoxin-related transmembrane protein 4 C10orf11 0.00142 1 Chromosome 10 open reading frame 11 TRIM14 0.00156 -1 Tripartite motif-containing 14 APOBEC3D 0.00173 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3D ANXA6 0.00185 -1 Annexin A6 NOS3 0.00209 -1 Nitric oxide synthase 3 SELI 0.00209 -1 Selenoprotein I NYNRIN 0.0023 -1 NYN domain and retroviral integrase containing ANKFY1 0.00253 -1 Ankyrin repeat and FYVE domain containing 1 APOBEC3F 0.00278 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3F EBI2 0.00278 -1 Epstein-Barr virus induced gene 2 ETHE1 0.00278 1 Ethylmalonic encephalopathy 1 PDE7A 0.00278 -1 Phosphodiesterase 7A HLA-DOA 0.00305 -1 Major histocompatibility complex, class II, DO alpha SOX13 0.00305 1 SRY (sex determining region Y)-box 13 ABHD2 3.34E-03 1 Abhydrolase domain containing 2 MOCS2 0.00334 1 Molybdenum cofactor synthesis 2 TTLL6 0.00365 -1 Tubulin tyrosine ligase-like family, member 6 SHANK3 0.00394 -1 SH3 and multiple ankyrin repeat domains 3 ADCY4 0.004 -1 Adenylate cyclase 4 CD3D 0.004 -1 CD3d molecule, delta (CD3-TCR complex) (CD3D), transcript variant 1, mRNA. -
Transvection in 2012: Site-Specific Transgenes Reveal a Plethora of Trans-Regulatory Effects
COMMENTARY Transvection in 2012: Site-Specific Transgenes Reveal a Plethora of Trans-Regulatory Effects Judith A. Kassis1 Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892 In this commentary, Judith Kassis discusses Bateman et al., widespread in the Drosophila genome (Bateman et al. 2012; “Comparing Enhancer Action in cis and in trans” and Mellert Mellert and Truman 2012). and Truman “Transvection is Common Throughout the Dro- Both groups of researchers used the phi-C31 system to in- sophila Genome”, which are published in this issue of GENETICS. tegrate transgenes into specific genomic locations to look at the ability of one transgene to activate the expression of another, N Drosophila, homologous chromosomes are paired in so- greatly increasing our knowledge of trans-interactions and sug- Imatic cells (reviewed in McKee 2004), leading to the oppor- gesting many experiments for the future. However, beyond that, tunity for regulatory DNA on one chromosome to influence their approaches to studying transvection and the questions they the expression of a promoter located on the homologous addressed differ. Bateman et al. (2012) used recombination- chromosome (reviewed in Duncan 2002; Kennison and mediated cassette exchange (Bateman et al. 2006) to insert Southworth 2002). Such trans-regulatory interactions were a simple, defined enhancer, the GMR (which consists of five first reported by Ed Lewis (Lewis 1954) who found that binding sites for the eye transcriptional activator Glass) and allelic complementation between particular mutations within adefined promoter driving the expression of either GFP or the bithorax complex did not occur when the pairing of ho- mCherry into three different chromosomal insertion sites to ad- mologous chromosomes was disrupted. -
Disease-Related Cellular Protein Networks Differentially Affected
www.nature.com/scientificreports OPEN Disease‑related cellular protein networks diferentially afected under diferent EGFR mutations in lung adenocarcinoma Toshihide Nishimura1,8*, Haruhiko Nakamura1,2,8, Ayako Yachie3,8, Takeshi Hase3,8, Kiyonaga Fujii1,8, Hirotaka Koizumi4, Saeko Naruki4, Masayuki Takagi4, Yukiko Matsuoka3, Naoki Furuya5, Harubumi Kato6,7 & Hisashi Saji2 It is unclear how epidermal growth factor receptor EGFR major driver mutations (L858R or Ex19del) afect downstream molecular networks and pathways. This study aimed to provide information on the infuences of these mutations. The study assessed 36 protein expression profles of lung adenocarcinoma (Ex19del, nine; L858R, nine; no Ex19del/L858R, 18). Weighted gene co-expression network analysis together with analysis of variance-based screening identifed 13 co-expressed modules and their eigen proteins. Pathway enrichment analysis for the Ex19del mutation demonstrated involvement of SUMOylation, epithelial and mesenchymal transition, ERK/mitogen- activated protein kinase signalling via phosphorylation and Hippo signalling. Additionally, analysis for the L858R mutation identifed various pathways related to cancer cell survival and death. With regard to the Ex19del mutation, ROCK, RPS6KA1, ARF1, IL2RA and several ErbB pathways were upregulated, whereas AURK and GSKIP were downregulated. With regard to the L858R mutation, RB1, TSC22D3 and DOCK1 were downregulated, whereas various networks, including VEGFA, were moderately upregulated. In all mutation types, CD80/CD86 (B7), MHC, CIITA and IFGN were activated, whereas CD37 and SAFB were inhibited. Costimulatory immune-checkpoint pathways by B7/CD28 were mainly activated, whereas those by PD-1/PD-L1 were inhibited. Our fndings may help identify potential therapeutic targets and develop therapeutic strategies to improve patient outcomes. -
An Integrated Approach to Comprehensively Map the Molecular Context of Proteins
bioRxiv preprint doi: https://doi.org/10.1101/264788; this version posted February 13, 2018. 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. Liu et al. An integrated approach to comprehensively map the molecular context of proteins Xiaonan Liu1,2, Kari Salokas1,2, Fitsum Tamene1,2,3 and Markku Varjosalo1,2,3* 1Institute of Biotechnology, University of Helsinki, Helsinki 00014, Finland 2Helsinki Institute of Life Science, University of Helsinki, Helsinki 00014, Finland 3Proteomics Unit, University of Helsinki, Helsinki 00014, Finland *Corresponding author Abstract: Protein-protein interactions underlie almost all cellular functions. The comprehensive mapping of these complex cellular networks of stable and transient associations has been made available by affi nity purifi cation mass spectrometry (AP-MS) and more recently by proximity based labelling methods such as BioID. Due the advancements in both methods and MS instrumentation, an in-depth analysis of the whole human proteome is at grasps. In order to facilitate this, we designed and optimized an integrated approach utilizing MAC-tag combining both AP-MS and BioID in a single construct. We systematically applied this approach to 18 subcellular localization markers and generated a molecular context database, which can be used to defi ne molecular locations for any protein of interest. In addition, we show that by combining the AP-MS and BioID results we can also obtain interaction distances within a complex. Taken together, our combined strategy off ers comprehensive approach for mapping physical and functional protein interactions. Introduction: Majority of proteins do not function in isolation geting the endogenous bait protein, allowing and their interactions with other proteins defi ne purifi cation of the bait protein together with the their cellular functions. -
Multi-Scale Organization of the Drosophila Melanogaster Genome
G C A T T A C G G C A T genes Review Multi-Scale Organization of the Drosophila melanogaster Genome Samantha C. Peterson † , Kaylah B. Samuelson † and Stacey L. Hanlon * Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA; [email protected] (S.C.P.); [email protected] (K.B.S.) * Correspondence: [email protected] † These authors contributed equally to this work. Abstract: Interphase chromatin, despite its appearance, is a highly organized framework of loops and bends. Chromosomes are folded into topologically associating domains, or TADs, and each chromosome and its homolog occupy a distinct territory within the nucleus. In Drosophila, genome organization is exceptional because homologous chromosome pairing is in both germline and somatic tissues, which promote interhomolog interactions such as transvection that can affect gene expression in trans. In this review, we focus on what is known about genome organization in Drosophila and discuss it from TADs to territory. We start by examining intrachromosomal organization at the sub-chromosome level into TADs, followed by a comprehensive analysis of the known proteins that play a key role in TAD formation and boundary establishment. We then zoom out to examine interhomolog interactions such as pairing and transvection that are abundant in Drosophila but rare in other model systems. Finally, we discuss chromosome territories that form within the nucleus, resulting in a complete picture of the multi-scale organization of the Drosophila genome. Keywords: Drosophila; topologically associating domain; insulator; pairing; transvection; B chromo- some; cytogenetics Citation: Peterson, S.C.; Samuelson, K.B.; Hanlon, S.L. -
And Abdominal-B in Drosqbhilu Melanogaster
Copyright 0 1995 by the Genetics Society of America and Trans Interactions Between the iab Regulatory Regions and abdominal-A and Abdominal-B in Drosqbhilu melanogaster Jd Eileen Hendrickson and Shigeru Sakonju Department of Human Genetics, Howard Hughes Medical Institute, University of Utah, Salt Lake City, Utah 841 12 Manuscript received August 15, 1994 Accepted for publication November 8, 1994 ABSTRACT The infra-abdominal ( iab) elements in the bithorax complex of Drosophila melanogaster regulate the transcription of the homeotic genesabdominal-A ( abd-A) and Abdominal-B ( Abd-B) in cis. Here we describe two unusual aspects of regulation by the iab elements, revealed by an analysis of an unexpected comple- mentation between mutations in the Abd-B transcription unit and these regulatory regions. First,we find that iab-6 and iab7 can regulate Abd-B in trans. This iab trans regulation is insensitive to chromosomal rearrangements that disrupt transvection effects at the nearby Ubx locus. In addition, we show that a transposed Abd-B transcription unitand promoter on the Ychromosomecan be activatedby iabelements located on the third chromosome. These results suggest that the iab regions can regulate their target promoter located ata distant sitein the genomein a manner that is much less dependent on homologue pairing than other transvection effects.The iab regulatory regionsmay have a very strong affinity for the target promoter, allowing them to interactwith each other despite the inhibitory effectsof chromosomal rearrangements. Second, by generating abd-A mutations on rearrangement chromosomes that break in the iab-7 region, we show that these breaks induce theiab elements to switch their target promoter from Abd-B to abd-A.