Thermal Manipulation of the Chicken Embryo Triggers Differential Gene
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Deregulated Gene Expression Pathways in Myelodysplastic Syndrome Hematopoietic Stem Cells
Leukemia (2010) 24, 756–764 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 $32.00 www.nature.com/leu ORIGINAL ARTICLE Deregulated gene expression pathways in myelodysplastic syndrome hematopoietic stem cells A Pellagatti1, M Cazzola2, A Giagounidis3, J Perry1, L Malcovati2, MG Della Porta2,MJa¨dersten4, S Killick5, A Verma6, CJ Norbury7, E Hellstro¨m-Lindberg4, JS Wainscoat1 and J Boultwood1 1LRF Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, UK; 2Department of Hematology Oncology, University of Pavia Medical School, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 3Medizinische Klinik II, St Johannes Hospital, Duisburg, Germany; 4Division of Hematology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden; 5Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK; 6Albert Einstein College of Medicine, Bronx, NY, USA and 7Sir William Dunn School of Pathology, University of Oxford, Oxford, UK To gain insight into the molecular pathogenesis of the the World Health Organization.6,7 Patients with refractory myelodysplastic syndromes (MDS), we performed global gene anemia (RA) with or without ringed sideroblasts, according to expression profiling and pathway analysis on the hemato- poietic stem cells (HSC) of 183 MDS patients as compared with the the French–American–British classification, were subdivided HSC of 17 healthy controls. The most significantly deregulated based on the presence or absence of multilineage dysplasia. In pathways in MDS include interferon signaling, thrombopoietin addition, patients with RA with excess blasts (RAEB) were signaling and the Wnt pathways. Among the most signifi- subdivided into two categories, RAEB1 and RAEB2, based on the cantly deregulated gene pathways in early MDS are immuno- percentage of bone marrow blasts. -
The HECT Domain Ubiquitin Ligase HUWE1 Targets Unassembled Soluble Proteins for Degradation
OPEN Citation: Cell Discovery (2016) 2, 16040; doi:10.1038/celldisc.2016.40 ARTICLE www.nature.com/celldisc The HECT domain ubiquitin ligase HUWE1 targets unassembled soluble proteins for degradation Yue Xu1, D Eric Anderson2, Yihong Ye1 1Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA; 2Advanced Mass Spectrometry Core Facility, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA In eukaryotes, many proteins function in multi-subunit complexes that require proper assembly. To maintain complex stoichiometry, cells use the endoplasmic reticulum-associated degradation system to degrade unassembled membrane subunits, but how unassembled soluble proteins are eliminated is undefined. Here we show that degradation of unassembled soluble proteins (referred to as unassembled soluble protein degradation, USPD) requires the ubiquitin selective chaperone p97, its co-factor nuclear protein localization protein 4 (Npl4), and the proteasome. At the ubiquitin ligase level, the previously identified protein quality control ligase UBR1 (ubiquitin protein ligase E3 component n-recognin 1) and the related enzymes only process a subset of unassembled soluble proteins. We identify the homologous to the E6-AP carboxyl terminus (homologous to the E6-AP carboxyl terminus) domain-containing protein HUWE1 as a ubiquitin ligase for substrates bearing unshielded, hydrophobic segments. We used a stable isotope labeling with amino acids-based proteomic approach to identify endogenous HUWE1 substrates. Interestingly, many HUWE1 substrates form multi-protein com- plexes that function in the nucleus although HUWE1 itself is cytoplasmically localized. Inhibition of nuclear entry enhances HUWE1-mediated ubiquitination and degradation, suggesting that USPD occurs primarily in the cytoplasm. -
Ubiquitination Is Not Omnipresent in Myeloid Leukemia Ramesh C
Editorials Ubiquitination is not omnipresent in myeloid leukemia Ramesh C. Nayak1 and Jose A. Cancelas1,2 1Division of Experimental Hematology and Cancer Biology, Cincinnati Children’s Hospital Medical Center and 2Hoxworth Blood Center, University of Cincinnati Academic Health Center, Cincinnati, OH, USA E-mail: JOSE A. CANCELAS - [email protected] / [email protected] doi:10.3324/haematol.2019.224162 hronic myelogenous leukemia (CML) is a clonal tination of target proteins through their cognate E3 ubiq- biphasic hematopoietic disorder most frequently uitin ligases belonging to three different families (RING, Ccaused by the expression of the BCR-ABL fusion HERCT, RING-between-RING or RBR type E3).7 protein. The expression of BCR-ABL fusion protein with The ubiquitin conjugating enzymes including UBE2N constitutive and elevated tyrosine kinase activity is suffi- (UBC13) and UBE2C are over-expressed in a myriad of cient to induce transformation of hematopoietic stem tumors such as breast, pancreas, colon, prostate, lym- cells (HSC) and the development of CML.1 Despite the phoma, and ovarian carcinomas.8 Higher expression of introduction of tyrosine kinase inhibitors (TKI), the dis- UBE2A is associated with poor prognosis of hepatocellu- ease may progress from a manageable chronic phase to a lar cancer.9 In leukemia, bone marrow (BM) cells from clinically challenging blast crisis phase with a poor prog- pediatric acute lymphoblastic patients show higher levels nosis,2 in which myeloid or lymphoid blasts fail to differ- of UBE2Q2 -
Predict AID Targeting in Non-Ig Genes Multiple Transcription Factor
The Journal of Immunology Multiple Transcription Factor Binding Sites Predict AID Targeting in Non-Ig Genes Jamie L. Duke,* Man Liu,†,1 Gur Yaari,‡ Ashraf M. Khalil,x Mary M. Tomayko,{ Mark J. Shlomchik,†,x David G. Schatz,†,‖ and Steven H. Kleinstein*,‡ Aberrant targeting of the enzyme activation-induced cytidine deaminase (AID) results in the accumulation of somatic mutations in ∼25% of expressed genes in germinal center B cells. Observations in Ung2/2 Msh22/2 mice suggest that many other genes efficiently repair AID-induced lesions, so that up to 45% of genes may actually be targeted by AID. It is important to understand the mechanisms that recruit AID to certain genes, because this mistargeting represents an important risk for genome instability. We hypothesize that several mechanisms combine to target AID to each locus. To resolve which mechanisms affect AID targeting, we analyzed 7.3 Mb of sequence data, along with the regulatory context, from 83 genes in Ung2/2 Msh22/2 mice to identify common properties of AID targets. This analysis identifies three transcription factor binding sites (E-box motifs, along with YY1 and C/EBP-b binding sites) that may work together to recruit AID. Based on previous knowledge and these newly discovered features, a classification tree model was built to predict genome-wide AID targeting. Using this predictive model, we were able to identify a set of 101 high-interest genes that are likely targets of AID. The Journal of Immunology, 2013, 190: 3878–3888. omatic hypermutation (SHM) occurs in germinal center the enzyme that deaminates cytosines to initiate SHM, can act (GC) B cells, resulting in the introduction of point muta- outside of the Ig locus. -
Figure S1. DMD Module Network. the Network Is Formed by 260 Genes from Disgenet and 1101 Interactions from STRING. Red Nodes Are the Five Seed Candidate Genes
Figure S1. DMD module network. The network is formed by 260 genes from DisGeNET and 1101 interactions from STRING. Red nodes are the five seed candidate genes. Figure S2. DMD module network is more connected than a random module of the same size. It is shown the distribution of the largest connected component of 10.000 random modules of the same size of the DMD module network. The green line (x=260) represents the DMD largest connected component, obtaining a z-score=8.9. Figure S3. Shared genes between BMD and DMD signature. A) A meta-analysis of three microarray datasets (GSE3307, GSE13608 and GSE109178) was performed for the identification of differentially expressed genes (DEGs) in BMD muscle biopsies as compared to normal muscle biopsies. Briefly, the GSE13608 dataset included 6 samples of skeletal muscle biopsy from healthy people and 5 samples from BMD patients. Biopsies were taken from either biceps brachii, triceps brachii or deltoid. The GSE3307 dataset included 17 samples of skeletal muscle biopsy from healthy people and 10 samples from BMD patients. The GSE109178 dataset included 14 samples of controls and 11 samples from BMD patients. For both GSE3307 and GSE10917 datasets, biopsies were taken at the time of diagnosis and from the vastus lateralis. For the meta-analysis of GSE13608, GSE3307 and GSE109178, a random effects model of effect size measure was used to integrate gene expression patterns from the two datasets. Genes with an adjusted p value (FDR) < 0.05 and an │effect size│>2 were identified as DEGs and selected for further analysis. A significant number of DEGs (p<0.001) were in common with the DMD signature genes (blue nodes), as determined by a hypergeometric test assessing the significance of the overlap between the BMD DEGs and the number of DMD signature genes B) MCODE analysis of the overlapping genes between BMD DEGs and DMD signature genes. -
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. -
UBE2B (HR6B) [Untagged] E2 – Ubiquitin Conjugating Enzyme
UBE2B (HR6B) [untagged] E2 – Ubiquitin Conjugating Enzyme Alternate Names: HHR6B, HR6B, RAD6B, Ubiquitin carrier protein B, Ubiquitin protein ligase B Cat. No. 62-0004-100 Quantity: 100 µg Lot. No. 1456 Storage: -70˚C FOR RESEARCH USE ONLY NOT FOR USE IN HUMANS CERTIFICATE OF ANALYSIS Page 1 of 2 Background Physical Characteristics The enzymes of the ubiquitylation Species: human Protein Sequence: pathway play a pivotal role in a num- GPLGSSTPARRRLMRDFKRLQEDPPVGVS ber of cellular processes including Source: E. coli expression GAPSENNIMQWNAVIFGPEGTPFEDGT regulated and targeted proteasomal FKLVIEFSEEYPNKPPTVRFLSKMFHPNVY degradation of substrate proteins. Quantity: 100 μg ADGSICLDILQNRWSPTYDVSSILTSIQSLL DEPNPNSPANSQAAQLYQENKREYEKRV Three classes of enzymes are in- Concentration: 1 mg/ml SAIVEQSWNDS volved in the process of ubiquitylation; activating enzymes (E1s), conjugating Formulation: 50 mM HEPES pH 7.5, enzymes (E2s) and protein ligases 150 mM sodium chloride, 2 mM The residues underlined remain after cleavage and removal of the purification tag. (E3s). UBE2B is a member of the E2 dithiothreitol, 10% glycerol UBE2B (regular text): Start bold italics (amino acid residues ubiquitin-conjugating enzyme family 2-152) and cloning of the human gene was Molecular Weight: ~17 kDa Accession number: NP_003328 first described by Koken et al. (1991). UBE2B shares 70% identity with its Purity: >98% by InstantBlue™ SDS-PAGE yeast homologue but lacks the acidic Stability/Storage: 12 months at -70˚C; C-terminal domain. The ring finger aliquot as required proteins RAD5 and RAD18 interact with UBE2B and other members of the RAD6 pathway (Notenboom et al., Quality Assurance 2007; Ulrich and Jentsch, 2000). In complex UBE2B and RAD18 trigger Purity: Protein Identification: replication fork stalling at DNA dam- 4-12% gradient SDS-PAGE Confirmed by mass spectrometry InstantBlue™ staining age sites during the post replicative Lane 1: MW markers E2-Ubiquitin Thioester Loading Assay: repair process (Tsuji et al., 2008). -
Variation in Protein Coding Genes Identifies Information
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 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-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 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-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
Upregulation of BTG1 Enhances the Radiation Sensitivity of Human Breast Cancer in Vitro and in Vivo
ONCOLOGY REPORTS 34: 3017-3024, 2015 Upregulation of BTG1 enhances the radiation sensitivity of human breast cancer in vitro and in vivo RAN ZHU1*, WEI LI2*, YAN XU3, JIANMEI WAN1 and ZENGLI ZHANG4 1Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Collaborative Innovation Center of Radiation Medicine, Jiangsu Higher Education Institutions; 2Department of General Surgery, Second Affiliated Hospital of Soochow University; 3Department of General Surgery, First Affiliated Hospital of Soochow University; 4Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, Jiangsu, P.R. China Received July 3, 2015; Accepted August 4, 2015 DOI: 10.3892/or.2015.4311 Abstract. X-ray-based radiotherapy is one of the most Introduction effective therapeutic strategies for breast cancer patients. However, radioresistance and side-effects continue to be the Breast cancer is the most common female cancer and one of most challenging issues. B-cell translocation gene 1 (BTG1) the leading causes of cancer-related deaths worldwide with a is a member of the BTG/Tob family, which inhibits cancer relatively high incidence rate (1,2). Surgery, chemotherapy and growth and promotes apoptosis. We, therefore, hypothesized radiotherapy are the traditional therapeutic methods for the that BTG1 plays an important role in the radiosensitivity of treatment of breast cancer, and radiotherapy is an important breast cancer cells. In the present study, breast cancer cell adjuvant therapy for breast cancer patients (3). lines that stably overexpressed BTG1 were used to investigate However, resistance to radiotherapy often results in the effects of BTG1 on cell radiosensitivity in vitro. -
The PRMT1 Gene Expression Pattern in Colon Cancer
British Journal of Cancer (2008) 99, 2094 – 2099 & 2008 Cancer Research UK All rights reserved 0007 – 0920/08 $32.00 www.bjcancer.com The PRMT1 gene expression pattern in colon cancer 1,5 2,5 3 2 4 ,1 K Mathioudaki , A Papadokostopoulou , A Scorilas , D Xynopoulos , N Agnanti and M Talieri* 1 Department of Cellular Physiology, ‘G Papanicolaou’ Research Center of Oncology, ‘Saint Savvas’ Hospital, 171 Alexandras Avenue, Athens 11522, Greece; 2Department of Gastroenterology, ‘Saint Savvas’ Hospital, 171 Alexandras Avenue, Athens 11522, Greece; 3Department of Biochemistry and Molecular Biology, Faculty of Biology, University of Athens, Panepistimioupoli, Athens 15711, Greece; 4Department of Pathology, School of Medicine, University of Ioannina, Ioannina 45110, Greece The methylation of arginine has been implicated in many cellular processes, such as regulation of transcription, mRNA splicing, RNA metabolism and transport. The enzymes responsible for this modification are the protein arginine methyltransferases. The most abundant methyltransferase in human cells is protein arginine methyltransferase 1. Methylation processes appear to interfere in the emergence of several diseases, including cancer. During our study, we examined the expression pattern of protein arginine methyltransferase 1 gene in colon cancer patients. The emerging results showed that the expression of one of the gene variants is associated with statistical significant probability to clinical and histological parameters, such as nodal status and stage. This is a first attempt to acquire an insight on the possible relation of the expression pattern of protein arginine methyltransferase 1 and colon cancer progression. British Journal of Cancer (2008) 99, 2094 – 2099. doi:10.1038/sj.bjc.6604807 www.bjcancer.com & 2008 Cancer Research UK Keywords: protein arginine methyltransferase; PRMT1; colon cancer; prognosis Colon cancer is one of the most dominant types of cancer in et al, 2005b; Cook et al, 2006) and can be classified into three Western industrialised countries. -
Supplemental Information
Supplemental Information Supplemental Figures Supplemental Figure 1. Quantitation of bioluminescent imaging data in Figure 1B. 1 Supplemental Figure 2. Impact of Brg1 shRNAs on proliferation of immortalized murine embryonic fibroblasts (iMEFs), BCR-ABL/p19-/- B cell acute lymphoblastic leukemia (B-ALL), murine breast cancer cells (4T1), and BrafV600E melanoma. A) shRNA/GFP competition assay in indicated murine cell lines. Rpa3 shRNA targeting replication protein A3 serves as a positive control. shRNA targeting Renilla luciferase is included as a negative control. B) Western blotting for additional Brg1 shRNAs in the indicated cell lines transduced with the Ren or Brg1 LMN-shRNAs. A representative experiment of three biological replicates is shown. 2 Supplemental Figure 3. Effect of Brg1 shRNAs on proliferation of human leukemia cell lines. A) shRNA/GFP competition assay in the indicated human cell lines with shRen.713, shBrg1.4471, or shSpt16.3249. All shRNAs were evaluated in a timecourse of GFP% measurements at days 4, 8, 12, 16, 20, and 24. CML-BC indicates chronic myeloid leukemia blast crisis. B) Western blotting of SPT16 levels in whole cell lysates prepared from HeLa cells transduced with the indicated MLP shRNA constructs following puromycin selection. 3 Supplemental Figure 4. Expression and functional validation of SWI/SNF subunits in MLL-AF9/NrasG12D leukemia. A) RPKM values for genes encoding SWI/SNF complex subunits from polyA+ tail RNA-seq performed in RN2 cell line. B) shRNA/GFP competition assay with two independent shRNAs targeting indicated SWI/SNF subunits. Experiments were performed in RN2 cells as in Figure 1A. n=2-3. C) RT-qPCR was performed to test the knockdown efficiency of indicted SWI/SNF subunit shRNAs. -
Network Pharmacology Interpretation of Fuzheng–Jiedu Decoction Against Colorectal Cancer
Hindawi Evidence-Based Complementary and Alternative Medicine Volume 2021, Article ID 4652492, 16 pages https://doi.org/10.1155/2021/4652492 Research Article Network Pharmacology Interpretation of Fuzheng–Jiedu Decoction against Colorectal Cancer Hongshuo Shi ,1 Sisheng Tian,2 and Hu Tian 3 1College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China 2School of Management, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China 3College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China Correspondence should be addressed to Hu Tian; [email protected] Received 7 April 2020; Revised 3 January 2021; Accepted 21 January 2021; Published 20 February 2021 Academic Editor: George B. Lenon Copyright © 2021 Hongshuo Shi et al. ,is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Introduction. Traditional Chinese medicine (TCM) believes that the pathogenic factors of colorectal cancer (CRC) are “deficiency, dampness, stasis, and toxin,” and Fuzheng–Jiedu Decoction (FJD) can resist these factors. In this study, we want to find out the potential targets and pathways of FJD in the treatment of CRC and also explain from a scientific point of view that FJD multidrug combination can resist “deficiency, dampness, stasis, and toxin.” Methods. We get the composition of FJD from the TCMSP database and get its potential target. We also get the potential target of colorectal cancer according to the OMIM Database, TTD Database, GeneCards Database, CTD Database, DrugBank Database, and DisGeNET Database.