Role of Phase Partitioning in Coordinating DNA Damage Response: Focus on the Apurinic Apyrimidinic Endonuclease 1 Interactome
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Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
Eif3j Antibody A
Revision 1 C 0 2 - t eIF3J Antibody a e r o t S Orders: 877-616-CELL (2355) [email protected] Support: 877-678-TECH (8324) 1 6 Web: [email protected] 2 www.cellsignal.com 3 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source: UniProt ID: Entrez-Gene Id: WB, IP H M R Endogenous 35 Rabbit O75822 8669 Product Usage Information (5). eIF3J has been shown to associate with the aminoacyl site and mRNA entry channel of the 40S ribosomal subunit (6). eIF3J has also been shown to have an additional role in Application Dilution the recycling of post-termination complexes (7). 1. Masutani, M. et al. (2007) EMBO J 26, 3373-83. Western Blotting 1:1000 2. Chaudhuri, J. et al. (1999) J Biol Chem 274, 17975-80. Immunoprecipitation 1:50 3. Holz, M.K. et al. (2005) Cell 123, 569-80. 4. Harris, T.E. et al. (2006) EMBO J 25, 1659-68. 5. Fraser, C.S. et al. (2004) J Biol Chem 279, 8946-56. Storage 6. Fraser, C.S. et al. (2007) Mol Cell 26, 811-9. Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA and 50% 7. Pisarev, A.V. et al. (2007) Cell 131, 286-99. glycerol. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity eIF3J Antibody detects endogenous levels of total eIF3J protein. Species Reactivity: Human, Mouse, Rat Source / Purification Polyclonal antibodies are produced by immunizing animals with a synthetic peptide corresponding to the sequence of human eIF3J. -
Structural Characterization of the Human Eukaryotic Initiation Factor 3 Protein Complex by Mass Spectrometry*□S
Supplemental Material can be found at: http://www.mcponline.org/cgi/content/full/M600399-MCP200 /DC1 Research Structural Characterization of the Human Eukaryotic Initiation Factor 3 Protein Complex by Mass Spectrometry*□S Eugen Damoc‡, Christopher S. Fraser§, Min Zhou¶, Hortense Videler¶, Greg L. Mayeurʈ, John W. B. Hersheyʈ, Jennifer A. Doudna§, Carol V. Robinson¶**, and Julie A. Leary‡ ‡‡ Protein synthesis in mammalian cells requires initiation The initiation phase of eukaryotic protein synthesis involves factor eIF3, an ϳ800-kDa protein complex that plays a formation of an 80 S ribosomal complex containing the initi- Downloaded from central role in binding of initiator methionyl-tRNA and ator methionyl-tRNAi bound to the initiation codon in the mRNA to the 40 S ribosomal subunit to form the 48 S mRNA. This is a multistep process promoted by proteins initiation complex. The eIF3 complex also prevents pre- called eukaryotic initiation factors (eIFs).1 Currently at least 12 mature association of the 40 and 60 S ribosomal subunits eIFs, composed of at least 29 distinct subunits, have been and interacts with other initiation factors involved in start identified (1). Mammalian eIF3, the largest initiation factor, is a codon selection. The molecular mechanisms by which multisubunit complex with an apparent molecular mass of www.mcponline.org eIF3 exerts these functions are poorly understood. Since ϳ800 kDa. This protein complex plays an essential role in its initial characterization in the 1970s, the exact size, translation by binding directly to the 40 S ribosomal subunit composition, and post-translational modifications of and promoting formation of the 43 S preinitiation complex ⅐ ⅐ mammalian eIF3 have not been rigorously determined. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
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. -
Case-Control Analysis Identifies Shared Properties of Rare Germline Variation in Cancer Predisposing Genes
Case-control analysis identifies shared properties of rare germline variation in cancer predisposing genes Mykyta Artomov1,2, Vijai Joseph3, Grace Tiao1,2, Tinu Thomas3, Kasmintan Schrader3, Robert J. Klein3, Adam Kiezun2, Namrata Gupta2, Lauren MarGolin2, Alexander J. StratiGos4, Ivana Kim5, Kristen Shannon6, Leif W. Ellisen6,7, Daniel Haber6,7,8, Gad Getz2, Hensin Tsao9,10, Steven M. Lipkin11, David Altshuler2, Kenneth Offit*3,12 and Mark J. Daly*1,2 1Analytic and Translational Genetics Unit, MGH, Boston, MA, USA 2Broad Institute, CambridGe, MA, USA 3 Clinical Genetics Research Laboratory, Department of Medicine, Memorial Sloan KetterinG Cancer Center, New York, NY, USA 41st Department of DermatoloGy-VenereoloGy, National and Kapodistrian University of Athens School of Medicine, Andreas SyGros Hospital, Athens, Greece 5 Retina Service, Massachusetts Eye and Ear Infirmary, Boston, MA, USA 6 Massachusetts General Hospital Cancer Center, Boston, MA, USA 7 Harvard Medical School, Boston, MA, USA 8 Howard HuGhes Medical Institute, Chevy Chase, Maryland 20815, USA 9 Department of DermatoloGy, Wellman Center for Photomedicine, MGH, Boston, MA, USA 10 Melanoma Genetics ProGram, MGH Cancer Center, MGH, Boston, MA, USA 11 Department of Medicine, ProGram in Mendelian Genetics, Weill-Cornell Medicine, New York, NY, USA 12 Cancer BioloGy and Genetics ProGram, Sloan KetterinG Institute, New York, NY, USA Correspondence: Mark J. Daly, 185 CambridGe St, CPZN-6823A, Boston, MA, 02114, USA; [email protected]; phone: (617)-726-5936 Kenneth Offit, Memorial Sloan KetterinG Cancer Center, 1275 York Avenue, New York, NY, 10065; [email protected]; phone: (212)-639-2000 Authors declare no conflict of interests SUPPLEMENTARY INFORMATION Patient cohorts ......................................................................................................................................... -
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). -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
Genes with 5' Terminal Oligopyrimidine Tracts Preferentially Escape Global Suppression of Translation by the SARS-Cov-2 NSP1 Protein
Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Genes with 5′ terminal oligopyrimidine tracts preferentially escape global suppression of translation by the SARS-CoV-2 Nsp1 protein Shilpa Raoa, Ian Hoskinsa, Tori Tonna, P. Daniela Garciaa, Hakan Ozadama, Elif Sarinay Cenika, Can Cenika,1 a Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA 1Corresponding author: [email protected] Key words: SARS-CoV-2, Nsp1, MeTAFlow, translation, ribosome profiling, RNA-Seq, 5′ TOP, Ribo-Seq, gene expression 1 Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Viruses rely on the host translation machinery to synthesize their own proteins. Consequently, they have evolved varied mechanisms to co-opt host translation for their survival. SARS-CoV-2 relies on a non-structural protein, Nsp1, for shutting down host translation. However, it is currently unknown how viral proteins and host factors critical for viral replication can escape a global shutdown of host translation. Here, using a novel FACS-based assay called MeTAFlow, we report a dose-dependent reduction in both nascent protein synthesis and mRNA abundance in cells expressing Nsp1. We perform RNA-Seq and matched ribosome profiling experiments to identify gene-specific changes both at the mRNA expression and translation level. We discover that a functionally-coherent subset of human genes are preferentially translated in the context of Nsp1 expression. These genes include the translation machinery components, RNA binding proteins, and others important for viral pathogenicity. Importantly, we uncovered a remarkable enrichment of 5′ terminal oligo-pyrimidine (TOP) tracts among preferentially translated genes. -
Early Alterations of RNA Metabolism and Splicing from Adult Corticospinal Neurons In
bioRxiv preprint doi: https://doi.org/10.1101/667733; this version posted June 12, 2019. 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. 1 Early alterations of RNA metabolism and splicing from adult corticospinal neurons in 2 an ALS mouse model 3 4 Christine Marques1,2, Mathieu Fischer1,3, Céline Keime4, Thibaut Burg1, Aurore Brunet1, 5 Jelena Scekic-Zahirovic1 & Caroline Rouaux1* 6 7 8 9 1Inserm UMR_S 1118, Mécanismes centraux et périphériques de la neurodégénérescence, 10 Faculté de Médecine, Université de Strasbourg, Strasbourg, France. 11 2Current address: Department of Neurobiology, Harvard Medical School, Boston, MA, USA; 12 Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. 13 3Current address: Department of Paediatrics, John Radcliffe Hospital, University of Oxford, 14 Oxford, UK. 15 4Inserm UMR_S 1258, CRNS UMR_S 7104, Université de Strasbourg, IGBMC, Strasbourg, 16 France. 17 18 *Correspondence should be addressed to: C.R. ([email protected]) 1 bioRxiv preprint doi: https://doi.org/10.1101/667733; this version posted June 12, 2019. 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. Abstract Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease clinically defined as the combined degeneration of corticospinal and corticobulbar neurons (CSN), and bulbar and spinal motor neurons (MN). A growing body of evidence points to the motor cortex, where CSN are located, as the potential initiation site of ALS. However, little is known about the spatiotemporal dynamics of CSN degeneration and the molecular pathways involved. -
Datasheet: VPA00586KT Product Details
Datasheet: VPA00586KT Description: EIF3E ANTIBODY WITH CONTROL LYSATE Specificity: EIF3E Format: Purified Product Type: PrecisionAb™ Polyclonal Isotype: Polyclonal IgG Quantity: 2 Westerns Product Details Applications This product has been reported to work in the following applications. This information is derived from testing within our laboratories, peer-reviewed publications or personal communications from the originators. Please refer to references indicated for further information. For general protocol recommendations, please visit www.bio-rad-antibodies.com/protocols. Yes No Not Determined Suggested Dilution Western Blotting 1/1000 PrecisionAb antibodies have been extensively validated for the western blot application. The antibody has been validated at the suggested dilution. Where this product has not been tested for use in a particular technique this does not necessarily exclude its use in such procedures. Further optimization may be required dependant on sample type. Target Species Human Species Cross Reacts with: Rat Reactivity N.B. Antibody reactivity and working conditions may vary between species. Product Form Purified IgG - liquid Preparation 20μl Rabbit polyclonal antibody purified by affinity chromatography Buffer Solution Phosphate buffered saline Preservative 0.09% Sodium Azide (NaN3) Stabilisers 2% Sucrose Immunogen Synthetic peptide directed towards the middle region of human EIF3E External Database Links UniProt: P60228 Related reagents Entrez Gene: 3646 EIF3E Related reagents Synonyms EIF3S6, INT6 Page 1 of 2 Specificity Rabbit anti Human EIF3E antibody recognizes the eukaryotic translation initiation factor 3 subunit E, also known as eIF-3 p48, eukaryotic translation initiation factor 3 subunit 6, mammary tumor- associated protein INT6 or viral integration site protein INT-6 homolog. Rabbit anti Human EIF3E antibody detects a band of 48 kDa. -
Apoptotic Genes As Potential Markers of Metastatic Phenotype in Human Osteosarcoma Cell Lines
17-31 10/12/07 14:53 Page 17 INTERNATIONAL JOURNAL OF ONCOLOGY 32: 17-31, 2008 17 Apoptotic genes as potential markers of metastatic phenotype in human osteosarcoma cell lines CINZIA ZUCCHINI1, ANNA ROCCHI2, MARIA CRISTINA MANARA2, PAOLA DE SANCTIS1, CRISTINA CAPANNI3, MICHELE BIANCHINI1, PAOLO CARINCI1, KATIA SCOTLANDI2 and LUISA VALVASSORI1 1Dipartimento di Istologia, Embriologia e Biologia Applicata, Università di Bologna, Via Belmeloro 8, 40126 Bologna; 2Laboratorio di Ricerca Oncologica, Istituti Ortopedici Rizzoli; 3IGM-CNR, Unit of Bologna, c/o Istituti Ortopedici Rizzoli, Via di Barbiano 1/10, 40136 Bologna, Italy Received May 29, 2007; Accepted July 19, 2007 Abstract. Metastasis is the most frequent cause of death among malignant primitive bone tumor, usually developing in children patients with osteosarcoma. We have previously demonstrated and adolescents, with a high tendency to metastasize (2). in independent experiments that the forced expression of Metastases in osteosarcoma patients spread through peripheral L/B/K ALP and CD99 in U-2 OS osteosarcoma cell lines blood very early and colonize primarily the lung, and later markedly reduces the metastatic ability of these cancer cells. other skeleton districts (3). Since disseminated hidden micro- This behavior makes these cell lines a useful model to assess metastases are present in 80-90% of OS patients at the time the intersection of multiple and independent gene expression of diagnosis, the identification of markers of invasiveness signatures concerning the biological problem of dissemination. and metastasis forms a target of paramount importance in With the aim to characterize a common transcriptional profile planning the treatment of osteosarcoma lesions and enhancing reflecting the essential features of metastatic behavior, we the prognosis.