Systematic Analysis Reveals the Prevalence and Principles of Bypassable Gene Essentiality

Total Page:16

File Type:pdf, Size:1020Kb

Systematic Analysis Reveals the Prevalence and Principles of Bypassable Gene Essentiality ARTICLE https://doi.org/10.1038/s41467-019-08928-1 OPEN Systematic analysis reveals the prevalence and principles of bypassable gene essentiality Jun Li1, Hai-Tao Wang1,2, Wei-Tao Wang1,3, Xiao-Ran Zhang1, Fang Suo1, Jing-Yi Ren1, Ying Bi1, Ying-Xi Xue1, Wen Hu1, Meng-Qiu Dong 1 & Li-Lin Du 1,4 Gene essentiality is a variable phenotypic trait, but to what extent and how essential genes can become dispensable for viability remain unclear. Here, we investigate ‘bypass of 1234567890():,; essentiality (BOE)’—an underexplored type of digenic genetic interaction that renders essential genes dispensable. Through analyzing essential genes on one of the six chromo- some arms of the fission yeast Schizosaccharomyces pombe,wefind that, remarkably, as many as 27% of them can be converted to non-essential genes by BOE interactions. Using this dataset we identify three principles of essentiality bypass: bypassable essential genes tend to have lower importance, tend to exhibit differential essentiality between species, and tend to act with other bypassable genes. In addition, we delineate mechanisms under- lying bypassable essentiality, including the previously unappreciated mechanism of dormant redundancy between paralogs. The new insights gained on bypassable essentiality deepen our understanding of genotype-phenotype relationships and will facilitate drug development related to essential genes. 1 National Institute of Biological Sciences, 102206 Beijing, China. 2 Chinese Academy of Medical Sciences and Peking Union Medical College, 100730 Beijing, China. 3 College of Biological Sciences, China Agricultural University, 100193 Beijing, China. 4 Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, 100084 Beijing, China. These authors contributed equally: Jun Li, Hai-Tao Wang, Wei-Tao Wang. Correspondence and requests for materials should be addressed to L.-L.D. (email: [email protected]) NATURE COMMUNICATIONS | (2019) 10:1002 | https://doi.org/10.1038/s41467-019-08928-1 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-08928-1 ccording to whether gene deletion causes inviability or Bypassable essential genes have not been analyzed in an Anot, genes can be classified as either essential genes or unbiased and systematic manner—two previous attempts with non-essential genes. Essential genes are considered the limited breadth and depth only identified 4 bypassable essential foundation for life and gene essentiality is regarded as a key genes in E. coli14 and 5 bypassable essential genes in S. cerevi- criterion when selecting drug targets for combating pathogens siae15—and thus the true extent of bypassable essentiality remains and cancer cells1,2. However, essentiality is not a static gene unknown. Here, we perform a large-scale and unbiased BOE property. In recent years, it has been shown in yeast3 and human analysis in S. pombe, and find that bypassable essential genes are cell lines4–6 that gene essentiality can vary between genetic much more prevalent than previously realized. The results of this backgrounds. Thus, to fully grasp the underpinnings of life and to systematic BOE analysis enable us to identify the general prin- improve drug target selection, it is imperative to understand ciples as well as functional and evolutionary implications of which genes can undergo essentiality change and how essentiality essentiality bypass. Furthermore, we demonstrate that BOE ana- change can happen. In particular, it is of both fundamental and lysis is especially conducive to inferring functional relationships practical values to investigate which and how essential genes in between genes. a well-defined genetic background can lose essentiality and be converted to non-essential genes. Essentiality loss can happen through high-frequency sponta- Results neous chromosome copy number changes7. Taking advantage of Systematic analysis of BOE interactions. We developed an this phenomenon, it has been shown in a systematic study that efficient BOE analysis procedure that uses “query strains” lacking in Saccharomyces cerevisiae, 9% of the essential genes can be the chromosomal copy of an essential gene (“query gene”) but rendered dispensable by spontaneous genetic events occurring harboring a counter-selectable episomal plasmid containing at ≥ 1% frequencies, which are most probably events altering that gene (Supplementary Figs. 1a-c). To enable the identification chromosome copy numbers8. These essential genes are termed of a broad range of suppressor types (Fig. 1a), we induced “evolvable essential genes”. For most of the evolvable essential genetic changes using the chemical mutagen methylnitroni- genes, the underlying genetic basis of the essentiality loss, namely, trosoguanidine (MNNG), the transposon piggyBac (PB), and an how many and which genes on the chromosome with an altered overexpression plasmid library, and termed the BOE suppressors copy number mediate the essentiality loss, remains unknown. thus obtained C-BOE, T-BOE, and OP-BOE suppressors, Furthermore, null mutations and missense mutations, which respectively (Supplementary Figs. 1b, d). T-BOE and OP-BOE happen spontaneously at frequencies much lower than 1%, can- suppressors were exhaustively identified; for query genes having not be surveyed by this approach. But such mutations are able to only C-BOE suppressors, we ensured that at least one C-BOE suppress the inviability phenotype of essential gene deletions and suppressor was identified. We experimentally verified all of the thus drive essentiality loss. Prominent examples from the litera- candidate suppressors by independently generating genetic ture include suppression of SEC14 gene deletion via “bypass alterations identical or similar to the ones found in the screen hits Sec14” mutations in S. cerevisiae9, suppression of the loss of (Supplementary Fig. 1e). MEC1 or RAD53 by deletion of SML1 in S. cerevisiae10, and Aiming to unbiasedly survey the bypassability of essential suppression of cdc25 deletion by either a wee1 deletion or a cdc2- genes, we targeted the essential genes located on the left arm of 3w mutation in the fission yeast Schizosaccharomyces pombe11,12. chromosome II (chrII-L) and were able to obtain BOE analysis To our knowledge, this type of digenic suppression interaction results on 142 (89%) of them (Fig. 1b and Supplementary Data 1); lacks a name. Because “bypass suppressor” is a term widely used these are a representative set of essential genes (Supplementary in the genetics literature to refer to the extragenic suppressor of a Fig. 1 f). The 17 (11%) remaining genes include the telomere deletion mutant13, we name this type of digenic interaction protection gene stn1, whose efficient bypass by chromosome “bypass of essentiality” (BOE). For simplicity, we refer to essential circularization hindered the search for BOE suppressors16.We genes that can be rendered non-essential by monogenic sup- failed to construct query strains for the other 16 genes, possibly pressors as “bypassable essential genes”. Compared to the evol- because cells cannot tolerate their altered expression levels when vable gene approach, using experimental means to identify these genes are expressed from plasmids. bypassable essential genes and their BOE suppressors can provide In total, we identified and verified 263 BOE interactions that a more comprehensive coverage of genes with variable essentiality render 38 (27%) of the 142 essential genes dispensable, including and can more directly reveal the exact genetic causes of essenti- all three previously known bypassable essential genes on chrII-L: ality loss. res1, slx8, and rhb117–19 (Fig. 2 and Supplementary Data 2). These abBypass of essentiality Mbp WT background Null mutant of gene B 0 A A 38 (27%) B 0.5 Bypassable Inviable Viable 104 (73%) Non-bypassable 1.0 Missense mutant of gene C Overexpression of gene D A A 142 analyzed essential C* D 1.5 genes on chrII-L Viable Viable I II III Analyzed (142) Chr. Not analyzed (17) Fig. 1 Systematic BOE analysis. a Three types of monogenic changes that can cause bypass of essentiality (BOE). In the wild-type (WT) background, gene A is essential. BOE may occur when another gene is deleted, mutated, or overexpressed. b Systematic BOE analysis for 89% (142/159) of the essential genes on chrII-L in fission yeast led to the identification of BOE suppressors for 27% (38/142) of them; these 38 genes were deemed bypassable. The other 104 genes were deemed non-bypassable 2 NATURE COMMUNICATIONS | (2019) 10:1002 | https://doi.org/10.1038/s41467-019-08928-1 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-08928-1 ARTICLE ptl1 SPAC1A6.03c cyt1 dcr1 cyr1 SPCC18.17c vps1302 SPBC215.01 rpl4102 nte1 cox10 cbp6 hmt2 atp3 txc1 SPAC26H5.07c coq7 bgs4 ppr1 mdm12 mga2 sur2 pgr1 cbp3 mrp21mrps28 mrps17 slm5 mef1 SPBC83.06c mrpl8 pex11 mmm1 sip1 ppr8 sls1 SPBC1703.09 gpi3 vgl1 ppr4 bcs1 sac11 lac1 fzo1 pma2 SPAP27G11.14c mts4 ubp15 SPAC57A10.08c rpt3 ubr11 rpn12 rpt6 amk2 uba2 ufd1 stn1 alp13 meu31 cbs2 ssp2 sgf29 SPBC17D1.05 swd1 ssr2 luc7 taf73 usp101 pst1 swd2 ulp2 cbh1 nts1 yth1 nrp1 nup189 clr6 spf1 nup132 slx8 ulp1 cwf15 ubp8 cph2 pst3 ngg1 jmj3 vac8 zas1 cip2 dam1 cip1 png1 set1 btb2pmt3 snR101 tup12 ada2 rhp16 msi2 pst2 not3 sgf73 ure6 swd3 rrp2 not2 gyp10 pli1 SPAC18G6.13 meu23 hrp3 klf1 gcn5 cdc10 rps1701 clr5 bdf1 rps602 pab2 rpb2 rnf10 apl2 apl4 yox1 rep2 nab2 nrm1 sty1 res2 rep1 iws1 asp1 fap7 hit1 cdk9 fkh2 iec1 wdr74 red5 SPBC27B12.12c cnp20 res1 whi5 SPBC25B2.08 rmn1 rnc1 pop2 rsa1 red1 imp1 cds1 srp40 apm3 mnr2 spt5 tps3 spc7 ppn1 cdc18 mak5 SPBC13E7.03c nup124 T-BOE (verified using deletion) Query gene T-BOE (verified using insertion) sfc1 mdm31 itr2 Suppressor gene C-BOE OP-BOE lip5 cog8 erg27 pdf1 RNA metabolism sfc9 mdm35 mug89 Ribosome biogenesis atd1 sly1 erg26 sec24 sfc4 cbf11 ivn1 Mitochondrion-related Transcription / Chromatin organization tsr2 nup107 rpl2501 ubp10 pir2 its8 rhb1 Protein catabolism / Protein modification Lipid / Membrane organization / Transmembrane transport Unknown / Others spi1 mex67 rpl2502 spp42 dis3 omh5 tor2 Fig. 2 BOE interactions that bypass the 38 chrII-L essential genes.
Recommended publications
  • 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.
    [Show full text]
  • Nuclear Organization and the Epigenetic Landscape of the Mus Musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected]
    University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 8-9-2019 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Liu, Alicia, "Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome" (2019). Doctoral Dissertations. 2273. https://opencommons.uconn.edu/dissertations/2273 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia J. Liu, Ph.D. University of Connecticut, 2019 ABSTRACT X-linked imprinted genes have been hypothesized to contribute parent-of-origin influences on social cognition. A cluster of imprinted genes Xlr3b, Xlr4b, and Xlr4c, implicated in cognitive defects, are maternally expressed and paternally silent in the murine brain. These genes defy classic mechanisms of autosomal imprinting, suggesting a novel method of imprinted gene regulation. Using Xlr3b and Xlr4c as bait, this study uses 4C-Seq on neonatal whole brain of a 39,XO mouse model, to provide the first in-depth analysis of chromatin dynamics surrounding an imprinted locus on the X-chromosome. Significant differences in long-range contacts exist be- tween XM and XP monosomic samples. In addition, XM interaction profiles contact a greater number of genes linked to cognitive impairment, abnormality of the nervous system, and abnormality of higher mental function. This is not a pattern that is unique to the imprinted Xlr3/4 locus. Additional Alicia J. Liu - University of Connecticut - 2019 4C-Seq experiments show that other genes on the X-chromosome, implicated in intellectual disability and/or ASD, also produce more maternal contacts to other X-linked genes linked to cognitive impairment.
    [Show full text]
  • Downloaded from [266]
    Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes.
    [Show full text]
  • Supplementary Table 3: Genes Only Influenced By
    Supplementary Table 3: Genes only influenced by X10 Illumina ID Gene ID Entrez Gene Name Fold change compared to vehicle 1810058M03RIK -1.104 2210008F06RIK 1.090 2310005E10RIK -1.175 2610016F04RIK 1.081 2610029K11RIK 1.130 381484 Gm5150 predicted gene 5150 -1.230 4833425P12RIK -1.127 4933412E12RIK -1.333 6030458P06RIK -1.131 6430550H21RIK 1.073 6530401D06RIK 1.229 9030607L17RIK -1.122 A330043C08RIK 1.113 A330043L12 1.054 A530092L01RIK -1.069 A630054D14 1.072 A630097D09RIK -1.102 AA409316 FAM83H family with sequence similarity 83, member H 1.142 AAAS AAAS achalasia, adrenocortical insufficiency, alacrimia 1.144 ACADL ACADL acyl-CoA dehydrogenase, long chain -1.135 ACOT1 ACOT1 acyl-CoA thioesterase 1 -1.191 ADAMTSL5 ADAMTSL5 ADAMTS-like 5 1.210 AFG3L2 AFG3L2 AFG3 ATPase family gene 3-like 2 (S. cerevisiae) 1.212 AI256775 RFESD Rieske (Fe-S) domain containing 1.134 Lipo1 (includes AI747699 others) lipase, member O2 -1.083 AKAP8L AKAP8L A kinase (PRKA) anchor protein 8-like -1.263 AKR7A5 -1.225 AMBP AMBP alpha-1-microglobulin/bikunin precursor 1.074 ANAPC2 ANAPC2 anaphase promoting complex subunit 2 -1.134 ANKRD1 ANKRD1 ankyrin repeat domain 1 (cardiac muscle) 1.314 APOA1 APOA1 apolipoprotein A-I -1.086 ARHGAP26 ARHGAP26 Rho GTPase activating protein 26 -1.083 ARL5A ARL5A ADP-ribosylation factor-like 5A -1.212 ARMC3 ARMC3 armadillo repeat containing 3 -1.077 ARPC5 ARPC5 actin related protein 2/3 complex, subunit 5, 16kDa -1.190 activating transcription factor 4 (tax-responsive enhancer element ATF4 ATF4 B67) 1.481 AU014645 NCBP1 nuclear cap
    [Show full text]
  • Identification of Differentially Expressed Genes and Pathways in Mice Exposed to Mixed Field Neutron/Photon Radiation Constantinos G
    Broustas et al. BMC Genomics (2018) 19:504 https://doi.org/10.1186/s12864-018-4884-6 RESEARCHARTICLE Open Access Identification of differentially expressed genes and pathways in mice exposed to mixed field neutron/photon radiation Constantinos G. Broustas1* , Andrew D. Harken2, Guy Garty2 and Sally A. Amundson1 Abstract Background: Radiation exposure due to the detonation of an improvised nuclear device remains a major security concern. Radiation from such a device involves a combination of photons and neutrons. Although photons will make the greater contribution to the total dose, neutrons will certainly have an impact on the severity of the exposure as they have high relative biological effectiveness. Results: We investigated the gene expression signatures in the blood of mice exposed to 3 Gy x-rays, 0.75 Gy of neutrons, or to mixed field photon/neutron with the neutron fraction contributing 5, 15%, or 25% of a total 3 Gy radiation dose. Gene ontology and pathway analysis revealed that genes involved in protein ubiquitination pathways were significantly overrepresented in all radiation doses and qualities. On the other hand, eukaryotic initiation factor 2 (EIF2) signaling pathway was identified as one of the top 10 ranked canonical pathways in neutron, but not pure x-ray, exposures. In addition, the related mTOR and regulation of EIF4/p70S6K pathways were also significantly underrepresented in the exposures with a neutron component, but not in x-ray radiation. The majority of the changed genes in these pathways belonged to the ribosome biogenesis and translation machinery and included several translation initiation factors (e.g. Eif2ak4, Eif3f), as well as 40S and 60S ribosomal subunits (e.g.
    [Show full text]
  • Hairless Streaks in Cattle Implicate TSR2 in Early Hair Follicle
    RESEARCH ARTICLE Hairless Streaks in Cattle Implicate TSR2 in Early Hair Follicle Formation Leonardo Murgiano1,2, Vera Shirokova3, Monika Maria Welle2,4, Vidhya Jagannathan1,2, Philippe Plattet5, Anna Oevermann5, Aldona Pienkowska-Schelling6, Daniele Gallo7, Arcangelo Gentile7, Marja Mikkola3, Cord Drögemüller1,2* 1 Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland, 2 DermFocus, University of Bern, Bern, Switzerland, 3 Developmental Biology Program, Institute of Biotechnology, University of Helsinki, Helsinki, Finland, 4 Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland, 5 Division of Neurological Sciences, DCR-VPH, Vetsuisse Faculty, University of Bern, Bern, Switzerland, 6 Clinic for Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland, 7 Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell’Emilia, Italy * [email protected] Abstract Four related cows showed hairless streaks on various parts of the body with no correlation to the pigmentation pattern. The stripes occurred in a consistent pattern resembling the lines of Blaschko. The non-syndromic hairlessness phenotype observed occurred across OPEN ACCESS three generations of a single family and was compatible with an X-linked mode of inheri- Citation: Murgiano L, Shirokova V, Welle MM, tance. Linkage analysis and subsequent whole genome sequencing of one affected female Jagannathan V, Plattet P, Oevermann A, et al. (2015) identified two perfectly associated non-synonymous sequence variants in the critical inter- Hairless Streaks in Cattle Implicate TSR2 in Early val on bovine chromosome X. Both variants occurred in complete linkage disequilibrium Hair Follicle Formation. PLoS Genet 11(7): e1005427. doi:10.1371/journal.pgen.1005427 and were absent in more than 3900 controls.
    [Show full text]
  • Pathogenic Germline IKZF1 Variant Alters Hematopoietic Gene Expression Profiles
    Downloaded from molecularcasestudies.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Pathogenic germline IKZF1 variant alters hematopoietic gene expression profiles Seth A. Brodie1, #, Payal P. Khincha2, #, Neelam Giri2, Aaron J. Bouk1, Mia Steinberg1, Jieqiong Dai1, Lea Jessop3 Frank X. Donovan4, Settara C. Chandrasekharappa4, Kelvin C. de Andrade2, Irina Maric5, Steven R. Ellis6, Lisa Mirabello2, Blanche P. Alter2, Sharon A. Savage2* 1 Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD 20850, USA; 2 Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; 3 Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda 20892, USA; 4 Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA; 5 Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA; 6 Department of Biochemistry and Molecular Biology, University of Louisville, Louisville, KY 40292, USA #These authors contributed equally. *Corresponding Author Sharon A. Savage, M.D. Clinical Genetics Branch Division of Cancer Epidemiology and Genetics National Cancer Institute, 9609 Medical Center Dr., Rm. 6E454 Bethesda, MD 20892 Tel: 240- 276-7241 Email: [email protected] Short title: Germline IKZF1 variant dysregulates hematopoiesis Word Counts: Abstract 189 References: 53 Figures: 5 Tables: 1 Supplementary Figures: 7 Supplementary Tables: 5 1 Downloaded from molecularcasestudies.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT IKZF1 encodes Ikaros, a zinc-finger containing transcription factor crucial to the development of the hematopoietic system.
    [Show full text]
  • Characterization Ofthe Human Properdin Gene
    Biochem. J. (1992) 287, 291-297 (Printed in Great Britain) 291 Characterization of the human properdin gene Kathleen F. NOLAN, Stefan KALUZ,* Jonathan M. G. HIGGINS, Dimitrios GOUNDIS and Kenneth B. M. REID MRC Immunochemistry Unit, Department of Biochemistry, University of Oxford, South Parks Road, Oxford OXI 3QU, U.K. A cosmid clone containing the complete coding sequence of the human properdin gene has been characterized. The gene is located at one end of the - 40 kb cosmid insert and - 8.2 kb of the sequence data have been obtained from this region. Two discrepancies with the published cDNA sequence [Nolan, Schwaeble, Kaluz, Dierich & Reid (1991) Eur. J. Immunol. 21, 771-776] have been resolved. Properdin has previously been described as a modular protein, with the majority of its sequence composed of six tandem repeats of a sequence motif of - 60 amino acids which is related to the type-I repeat sequence (TSR), initially described in thrombospondin [Lawler & Hynes (1986) J. Cell Biol. 103, 1635-1648; Goundis & Reid (1988), Nature (London) 335, 82-85]. Analysis of the genomic sequence data indicates that the human properdin gene is organized into ten exons which span - 6 kb ofthe genome. TSRs 2-5 are coded for by discrete, symmetrical exons (phase 1-1), which supports the hypothesis that modular proteins evolved by a process involving exon shuffling. TSR1 is also coded for by a discrete exon, but the boundaries are asymmetrical (phase 2-1). The sequence coding for the sixth TSR is split across the final two exons of the gene with the first 38 amino acids of the repeat coded for by an asymmetric exon (phase 1-2).
    [Show full text]
  • Dynamic Erasure of Random X-Chromosome Inactivation During Ipsc Reprogramming
    bioRxiv preprint doi: https://doi.org/10.1101/545558; this version posted February 9, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Dynamic Erasure of Random X-Chromosome Inactivation during iPSC Reprogramming Adrian Janiszewski1,*, Irene Talon1,*, Juan Song1, Natalie De Geest1, San Kit To1, Greet Bervoets2,3, Jean-Christophe Marine2,3, Florian Rambow2,3, Vincent Pasque1,✉. 1 KU Leuven - University of Leuven, Department of Development and Regeneration, Herestraat 49, B-3000 Leuven, Belgium. 2 Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology 3 Department of Oncology, KU Leuven, Belgium ✉ Correspondence to: [email protected] (V.P.) * These authors contributed equally Format: Research paper ABSTRACT Background: Induction and reversal of chromatin silencing is critical for successful development, tissue homeostasis and the derivation of induced pluripotent stem cells (iPSCs). X-chromosome inactivation (XCI) and reactivation (XCR) in female cells represent chromosome-wide transitions between active and inactive chromatin states. While XCI has long been studied and provided important insights into gene regulation, the dynamics and mechanisms underlying the reversal of stable chromatin silencing of X-linked genes are much less understood. Here, we use allele- specific transcriptomic approaches to study XCR during mouse iPSC reprogramming in order to elucidate the timing and mechanisms of chromosome-wide reversal of gene silencing. Results: We show that XCR is hierarchical, with subsets of genes reactivating early, late and very late.
    [Show full text]
  • Clustering Proteins from Interaction Networks for the Prediction of Cellular Functions C
    Clustering proteins from interaction networks for the prediction of cellular functions C. Brun, C Herrmann, A Guenoche To cite this version: C. Brun, C Herrmann, A Guenoche. Clustering proteins from interaction networks for the prediction of cellular functions. BMC Bioinformatics, BioMed Central, 2004, 5 (1), pp.95. 10.1186/1471-2105- 5-95. hal-01596222 HAL Id: hal-01596222 https://hal-amu.archives-ouvertes.fr/hal-01596222 Submitted on 19 Dec 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License BMC Bioinformatics BioMed Central Methodology article Open Access Clustering proteins from interaction networks for the prediction of cellular functions Christine Brun1, Carl Herrmann*1 and Alain Guénoche2 Address: 1Laboratoire de Génétique et Physiologie du Développement, IBDM, CNRS/INSERM/Université de la Méditerranée and 2lnstitut de Mathématiques de Luminy CNRS Parc Scientifique de Luminy, Case 907, 13288 Marseille Cedex 9, France Email: Christine Brun - [email protected]; Carl Herrmann* - [email protected]; Alain Guénoche - [email protected] * Corresponding author Published: 13 July 2004 Received: 29 March 2004 Accepted: 13 July 2004 BMC Bioinformatics 2004, 5:95 doi:10.1186/1471-2105-5-95 This article is available from: http://www.biomedcentral.com/1471-2105/5/95 © 2004 Brun et al; licensee BioMed Central Ltd.
    [Show full text]
  • 393LN V 393P 344SQ V 393P Probe Set Entrez Gene
    393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393
    [Show full text]
  • Ribosomal Proteins and Human Diseases: Molecular Mechanisms and Targeted Therapy ✉ Jian Kang1,2, Natalie Brajanovski1, Keefe T
    Signal Transduction and Targeted Therapy www.nature.com/sigtrans REVIEW ARTICLE OPEN Ribosomal proteins and human diseases: molecular mechanisms and targeted therapy ✉ Jian Kang1,2, Natalie Brajanovski1, Keefe T. Chan1,2, Jiachen Xuan1,2, Richard B. Pearson1,2,3,4 and Elaine Sanij1,2,5,6 Ribosome biogenesis and protein synthesis are fundamental rate-limiting steps for cell growth and proliferation. The ribosomal proteins (RPs), comprising the structural parts of the ribosome, are essential for ribosome assembly and function. In addition to their canonical ribosomal functions, multiple RPs have extra-ribosomal functions including activation of p53-dependent or p53- independent pathways in response to stress, resulting in cell cycle arrest and apoptosis. Defects in ribosome biogenesis, translation, and the functions of individual RPs, including mutations in RPs have been linked to a diverse range of human congenital disorders termed ribosomopathies. Ribosomopathies are characterized by tissue-specific phenotypic abnormalities and higher cancer risk later in life. Recent discoveries of somatic mutations in RPs in multiple tumor types reinforce the connections between ribosomal defects and cancer. In this article, we review the most recent advances in understanding the molecular consequences of RP mutations and ribosomal defects in ribosomopathies and cancer. We particularly discuss the molecular basis of the transition from hypo- to hyper-proliferation in ribosomopathies with elevated cancer risk, a paradox termed “Dameshek’s riddle.” Furthermore, we review the current treatments for ribosomopathies and prospective therapies targeting ribosomal defects. We also highlight recent advances in ribosome stress-based cancer therapeutics. Importantly, insights into the mechanisms of resistance to therapies targeting ribosome biogenesis bring new perspectives into the molecular basis of cancer susceptibility in ribosomopathies and new 1234567890();,: clinical implications for cancer therapy.
    [Show full text]