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Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
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. -
Primate Specific Retrotransposons, Svas, in the Evolution of Networks That Alter Brain Function
Title: Primate specific retrotransposons, SVAs, in the evolution of networks that alter brain function. Olga Vasieva1*, Sultan Cetiner1, Abigail Savage2, Gerald G. Schumann3, Vivien J Bubb2, John P Quinn2*, 1 Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, U.K 2 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK 3 Division of Medical Biotechnology, Paul-Ehrlich-Institut, Langen, D-63225 Germany *. Corresponding author Olga Vasieva: Institute of Integrative Biology, Department of Comparative genomics, University of Liverpool, Liverpool, L69 7ZB, [email protected] ; Tel: (+44) 151 795 4456; FAX:(+44) 151 795 4406 John Quinn: Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK, [email protected]; Tel: (+44) 151 794 5498. Key words: SVA, trans-mobilisation, behaviour, brain, evolution, psychiatric disorders 1 Abstract The hominid-specific non-LTR retrotransposon termed SINE–VNTR–Alu (SVA) is the youngest of the transposable elements in the human genome. The propagation of the most ancient SVA type A took place about 13.5 Myrs ago, and the youngest SVA types appeared in the human genome after the chimpanzee divergence. Functional enrichment analysis of genes associated with SVA insertions demonstrated their strong link to multiple ontological categories attributed to brain function and the disorders. SVA types that expanded their presence in the human genome at different stages of hominoid life history were also associated with progressively evolving behavioural features that indicated a potential impact of SVA propagation on a cognitive ability of a modern human. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
SUPPLEMENTARY TABLES and FIGURE LEGENDS Supplementary
SUPPLEMENTARY TABLES AND FIGURE LEGENDS Supplementary Figure 1. Quantitation of MYC levels in vivo and in vitro. a) MYC levels in cell lines 6814, 6816, 5720, 966, and 6780 (corresponding to first half of Figure 1a in main text). MYC is normalized to tubulin. b) MYC quantitations (normalized to tubulin) for cell lines Daudi, Raji, Jujoye, KRA, KRB, GM, and 6780 corresponding to second half of Figure 1a. c) In vivo MYC quantitations, for mice treated with 0-0.5 ug/ml doxycycline in their drinking water. MYC is normalized to tubulin. d) Quantitation of changing MYC levels during in vitro titration, normalized to tubulin. e) Levels of Odc (normalized to tubulin) follow MYC levels in titration series. Supplementary Figure 2. Evaluation of doxycycline concentration in the plasma of mice treated with doxycycline in their drinking water. Luciferase expressing CHO cells (Tet- off) (Clonethech Inc) that is responsive to doxycycline by turning off luciferase expression was treated with different concentrations of doxycycline in culture. A standard curve (blue line) correlating luciferase activity (y-axis) with treatment of doxycycline (x- axis) was generated for the CHO cell in culture. Plasma from mice treated with different concentrations of doxycycline in their drinking water was separated and added to the media of the CHO cells. Luciferase activity was measured and plotted on the standard curve (see legend box). The actual concentration of doxycycline in the plasma was extrapolated for the luciferase activity measured. The doxycycline concentration 0.2 ng/ml measured in the plasma of mice correlates with 0.05 μg/ml doxycycline treatment in the drinking water of mice, the in vivo threshold for tumor regression. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Comparative Sequence and Structure Analysis of Eif1a and Eif1ad Jielin Yu and Assen Marintchev*
Yu and Marintchev BMC Structural Biology (2018) 18:11 https://doi.org/10.1186/s12900-018-0091-6 RESEARCHARTICLE Open Access Comparative sequence and structure analysis of eIF1A and eIF1AD Jielin Yu and Assen Marintchev* Abstract Background: Eukaryotic translation initiation factor 1A (eIF1A) is universally conserved in all organisms. It has multiple functions in translation initiation, including assembly of the ribosomal pre-initiation complexes, mRNA binding, scanning, and ribosomal subunit joining. eIF1A binds directly to the small ribosomal subunit, as well as to several other translation initiation factors. The structure of an eIF1A homolog, the eIF1A domain-containing protein (eIF1AD) was recently determined but its biological functions are unknown. Since eIF1AD has a known structure, as well as a homolog, whose structure and functions have been extensively studied, it is a very attractive target for sequence and structure analysis. Results: Structure/sequence analysis of eIF1AD found significant conservation in the surfaces corresponding to the ribosome-binding surfaces of its paralog eIF1A, including a nearly invariant surface-exposed tryptophan residue, which plays an important role in the interaction of eIF1A with the ribosome. These results indicate that eIF1AD may bind to the ribosome, similar to its paralog eIF1A, and could have roles in ribosome biogenenesis or regulation of translation. We identified conserved surfaces and sequence motifs in the folded domain as well as the C-terminal tail of eIF1AD, which are likely protein-protein interaction sites. The roles of these regions for eIF1AD function remain to be determined. We have also identified a set of trypanosomatid-specific surface determinants in eIF1A that could be a promising target for development of treatments against these parasites. -
Effect of STAT3 Inhibition on the Metabolic Switch in a Highly STAT3-Activated Lymphoma Cell Line
CANCER GENOMICS & PROTEOMICS 12 : 133-142 (2015) Effect of STAT3 Inhibition on the Metabolic Switch in a Highly STAT3-activated Lymphoma Cell Line YASUTO AKIYAMA 1* , AKIRA IIZUKA 1* , AKIKO KUME 1, MASARU KOMIYAMA 1, KENICHI URAKAMI 2, TADASHI ASHIZAWA 1, HARUO MIYATA 1, MAHO OMIYA 1, MASATOSHI KUSUHARA 3 and KEN YAMAGUCHI 4 1Immunotherapy Division, 2Cancer Diagnostics Division, 3Regional Resources Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, Japan; 4Office of the President, Shizuoka Cancer Center Hospital, Sunto-gun, Shizuoka, Japan Abstract. Background: Signal transducer and activator of enzymes including fructose-bisphosphate aldolase A transcription (STAT)3 is involved in a metabolic shift in (ALDOA) as a metabolic marker candidate for STAT3- cancer cells, the Warburg effect through its pro-oncogenic targeting therapy using STAT3-specific shRNA gene activity. To develop efficient STAT3 inhibitors against cancer transduction. In particular, latexin expression was up- cells, novel proteomic and metabolic target molecules need regulated in four STAT3-activated cancer cell lines including to be explored using multi-omics approaches in the context of SCC-3 transduced with STAT3-specific shRNA. The up- STAT3 gene inhibition-mediated tumor growth suppression. regulation of latexin was identified in SCC-3 tumors Materials and Methods: We found that short hairpin transplanted to nude mice after treatment with STAT3 (sh)RNA-mediated STAT3 inhibition suppressed tumor inhibitor. Conclusion: Our results suggest that STAT3 growth in a highly STAT3-activated lymphoma cell line, inactivation reverses the glycolytic shift by down-regulating SCC-3 cells, and we investigated the effect of STAT3 key enzymes and that it induces up-regulation of latexin as a inhibition on metabolic switching using 2-dimensional tumor-suppressor molecule, which partially results in cancer differential gel electrophoresis and capillary electrophoresis- cell apoptosis and tumor growth suppression. -
Eef3 Promotes Late Stages of Trna Translocation on the Ribosome
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.01.182105; this version posted July 1, 2020. 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-ND 4.0 International license. eEF3 promotes late stages of tRNA translocation on the ribosome Namit Ranjan1,6,*, Agnieszka A. Pochopien2,3,6, Colin Chih-Chien Wu4,6, Bertrand Beckert3, Sandra Blanchet1, Rachel Green4,5,*, Marina V. Rodnina1,*, Daniel N. Wilson2,3,7,* 1 Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany. 2 Gene Center, Department for Biochemistry and Center for integrated Protein Science Munich (CiPSM), University of Munich, Feodor-Lynenstr. 25, 81377 Munich, Germany 3 Institute for Biochemistry and Molecular Biology, University of Hamburg, Martin- Luther-King-Platz 6, 20146 Hamburg, Germany 4 Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, MD21205 Baltimore, United States. 5 Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, MD21205 Baltimore, United States. 6 These authors contributed equally *Correspondence: [email protected], [email protected], [email protected], [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.01.182105; this version posted July 1, 2020. 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. -
Ubiquitin and Ubiquitin-Like Proteins Are Essential Regulators of DNA Damage Bypass
cancers Review Ubiquitin and Ubiquitin-Like Proteins Are Essential Regulators of DNA Damage Bypass Nicole A. Wilkinson y, Katherine S. Mnuskin y, Nicholas W. Ashton * and Roger Woodgate * Laboratory of Genomic Integrity, National Institute of Child Health and Human Development, National Institutes of Health, 9800 Medical Center Drive, Rockville, MD 20850, USA; [email protected] (N.A.W.); [email protected] (K.S.M.) * Correspondence: [email protected] (N.W.A.); [email protected] (R.W.); Tel.: +1-301-435-1115 (N.W.A.); +1-301-435-0740 (R.W.) Co-first authors. y Received: 29 August 2020; Accepted: 29 September 2020; Published: 2 October 2020 Simple Summary: Ubiquitin and ubiquitin-like proteins are conjugated to many other proteins within the cell, to regulate their stability, localization, and activity. These modifications are essential for normal cellular function and the disruption of these processes contributes to numerous cancer types. In this review, we discuss how ubiquitin and ubiquitin-like proteins regulate the specialized replication pathways of DNA damage bypass, as well as how the disruption of these processes can contribute to cancer development. We also discuss how cancer cell survival relies on DNA damage bypass, and how targeting the regulation of these pathways by ubiquitin and ubiquitin-like proteins might be an effective strategy in anti-cancer therapies. Abstract: Many endogenous and exogenous factors can induce genomic instability in human cells, in the form of DNA damage and mutations, that predispose them to cancer development. Normal cells rely on DNA damage bypass pathways such as translesion synthesis (TLS) and template switching (TS) to replicate past lesions that might otherwise result in prolonged replication stress and lethal double-strand breaks (DSBs). -
Genetic Features of Myelodysplastic Syndrome and Aplastic Anemia in Pediatric and Young Adult Patients
Bone Marrow Failure SUPPLEMENTARY APPENDIX Genetic features of myelodysplastic syndrome and aplastic anemia in pediatric and young adult patients Siobán B. Keel, 1* Angela Scott, 2,3,4 * Marilyn Sanchez-Bonilla, 5 Phoenix A. Ho, 2,3,4 Suleyman Gulsuner, 6 Colin C. Pritchard, 7 Janis L. Abkowitz, 1 Mary-Claire King, 6 Tom Walsh, 6** and Akiko Shimamura 5** 1Department of Medicine, Division of Hematology, University of Washington, Seattle, WA; 2Clinical Research Division, Fred Hutchinson Can - cer Research Center, Seattle, WA; 3Department of Pediatric Hematology/Oncology, Seattle Children’s Hospital, WA; 4Department of Pedi - atrics, University of Washington, Seattle, WA; 5Boston Children’s Hospital, Dana Farber Cancer Institute, and Harvard Medical School, MA; 6Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA; and 7Department of Laboratory Medicine, University of Washington, Seattle, WA, USA *SBK and ASc contributed equally to this work **TW and ASh are co-senior authors ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2016.149476 Received: May 16, 2016. Accepted: July 13, 2016. Pre-published: July 14, 2016. Correspondence: [email protected] or [email protected] Supplementary materials Supplementary methods Retrospective chart review Patient data were collected from medical records by two investigators blinded to the results of genetic testing. The following information was collected: date of birth, transplant, death, and last follow-up, -
Understanding Brassicaceae Evolution Through Ancestral
Understanding Brassicaceae evolution through ancestral genome reconstruction Florent Murat, Alexandra Louis, Florian Maumus, Alix Armero Villanueva, Richard Cooke, Hadi Quesneville, Hugues Roest Crollius, Jerome Salse To cite this version: Florent Murat, Alexandra Louis, Florian Maumus, Alix Armero Villanueva, Richard Cooke, et al.. Understanding Brassicaceae evolution through ancestral genome reconstruction. Genome Biology, BioMed Central, 2015, 16 (262), 10.1186/s13059-015-0814-y. hal-01281832 HAL Id: hal-01281832 https://hal.archives-ouvertes.fr/hal-01281832 Submitted on 2 Mar 2016 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. Murat et al. Genome Biology (2015) 16:262 DOI 10.1186/s13059-015-0814-y RESEARCH Open Access Understanding Brassicaceae evolution through ancestral genome reconstruction Florent Murat1†, Alexandra Louis2,3,4†, Florian Maumus5†, Alix Armero1, Richard Cooke6, Hadi Quesneville5, Hugues Roest Crollius2,3,4 and Jerome Salse1* Abstract Background: Brassicaceae is a family of green plants of high scientific and economic interest, including thale cress (Arabidopsis thaliana), cruciferous vegetables (cabbages) and rapeseed. Results: We reconstruct an evolutionary framework of Brassicaceae composed of high-resolution ancestral karyotypes using the genomes of modern A. thaliana, Arabidopsis lyrata, Capsella rubella, Brassica rapa and Thellungiella parvula.