Interaction of 7SK with the Smn Complex Modulates Snrnp Production
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Unrip (STRAP) (NM 007178) Human Tagged ORF Clone Lentiviral Particle Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC209149L3V Unrip (STRAP) (NM_007178) Human Tagged ORF Clone Lentiviral Particle Product data: Product Type: Lentiviral Particles Product Name: Unrip (STRAP) (NM_007178) Human Tagged ORF Clone Lentiviral Particle Symbol: STRAP Synonyms: MAWD; PT-WD; UNRIP Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) ACCN: NM_007178 ORF Size: 1050 bp ORF Nucleotide The ORF insert of this clone is exactly the same as(RC209149). Sequence: OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_007178.2 RefSeq Size: 1924 bp RefSeq ORF: 1053 bp Locus ID: 11171 UniProt ID: Q9Y3F4 Domains: WD40 Protein Families: Druggable Genome MW: 38.4 kDa This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 Unrip (STRAP) (NM_007178) Human Tagged ORF Clone Lentiviral Particle – RC209149L3V Gene Summary: The SMN complex plays a catalyst role in the assembly of small nuclear ribonucleoproteins (snRNPs), the building blocks of the spliceosome. -
GEMIN8 Antibody (C-Term) Blocking Peptide Synthetic Peptide Catalog # Bp17974b
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 GEMIN8 Antibody (C-term) Blocking Peptide Synthetic peptide Catalog # BP17974b Specification GEMIN8 Antibody (C-term) Blocking GEMIN8 Antibody (C-term) Blocking Peptide - Peptide - Background Product Information The protein encoded by this gene is part of Primary Accession Q9NWZ8 the SMNcomplex, which is necessary for spliceosomal snRNP assembly in thecytoplasm and pre-mRNA splicing in the nucleus. The GEMIN8 Antibody (C-term) Blocking Peptide - Additional Information encoded proteinbinds to both SMN1 and the GEMIN6/GEMIN7 heterodimer, mediatingtheir interaction. This protein is found in nuclear Gene ID 54960 Gemini of Cajalbodies (gems) and in the cytoplasm. Three transcript variantsencoding Other Names the same protein have been found for this Gem-associated protein 8, Gemin-8, Protein gene. [providedby RefSeq]. FAM51A1, GEMIN8, FAM51A1 GEMIN8 Antibody (C-term) Blocking Format Peptides are lyophilized in a solid powder Peptide - References format. Peptides can be reconstituted in solution using the appropriate buffer as Carissimi, C., et al. J. Biol. Chem. needed. 281(48):37009-37016(2006)Carissimi, C., et al. J. Biol. Chem. 281(12):8126-8134(2006) Storage Maintain refrigerated at 2-8°C for up to 6 months. For long term storage store at -20°C. Precautions This product is for research use only. Not for use in diagnostic or therapeutic procedures. GEMIN8 Antibody (C-term) Blocking Peptide - Protein Information Name GEMIN8 Synonyms FAM51A1 Function The SMN complex plays a catalyst role in the assembly of small nuclear ribonucleoproteins (snRNPs), the building blocks of the spliceosome. -
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. -
DEAD-Box RNA Helicases in Cell Cycle Control and Clinical Therapy
cells Review DEAD-Box RNA Helicases in Cell Cycle Control and Clinical Therapy Lu Zhang 1,2 and Xiaogang Li 2,3,* 1 Department of Nephrology, Renmin Hospital of Wuhan University, Wuhan 430060, China; [email protected] 2 Department of Internal Medicine, Mayo Clinic, 200 1st Street, SW, Rochester, MN 55905, USA 3 Department of Biochemistry and Molecular Biology, Mayo Clinic, 200 1st Street, SW, Rochester, MN 55905, USA * Correspondence: [email protected]; Tel.: +1-507-266-0110 Abstract: Cell cycle is regulated through numerous signaling pathways that determine whether cells will proliferate, remain quiescent, arrest, or undergo apoptosis. Abnormal cell cycle regula- tion has been linked to many diseases. Thus, there is an urgent need to understand the diverse molecular mechanisms of how the cell cycle is controlled. RNA helicases constitute a large family of proteins with functions in all aspects of RNA metabolism, including unwinding or annealing of RNA molecules to regulate pre-mRNA, rRNA and miRNA processing, clamping protein complexes on RNA, or remodeling ribonucleoprotein complexes, to regulate gene expression. RNA helicases also regulate the activity of specific proteins through direct interaction. Abnormal expression of RNA helicases has been associated with different diseases, including cancer, neurological disorders, aging, and autosomal dominant polycystic kidney disease (ADPKD) via regulation of a diverse range of cellular processes such as cell proliferation, cell cycle arrest, and apoptosis. Recent studies showed that RNA helicases participate in the regulation of the cell cycle progression at each cell cycle phase, including G1-S transition, S phase, G2-M transition, mitosis, and cytokinesis. -
Supplementary Materials
Supplementary Materials COMPARATIVE ANALYSIS OF THE TRANSCRIPTOME, PROTEOME AND miRNA PROFILE OF KUPFFER CELLS AND MONOCYTES Andrey Elchaninov1,3*, Anastasiya Lokhonina1,3, Maria Nikitina2, Polina Vishnyakova1,3, Andrey Makarov1, Irina Arutyunyan1, Anastasiya Poltavets1, Evgeniya Kananykhina2, Sergey Kovalchuk4, Evgeny Karpulevich5,6, Galina Bolshakova2, Gennady Sukhikh1, Timur Fatkhudinov2,3 1 Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia 2 Laboratory of Growth and Development, Scientific Research Institute of Human Morphology, Moscow, Russia 3 Histology Department, Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia 4 Laboratory of Bioinformatic methods for Combinatorial Chemistry and Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia 5 Information Systems Department, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia 6 Genome Engineering Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia Figure S1. Flow cytometry analysis of unsorted blood sample. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S2. Flow cytometry analysis of unsorted liver stromal cells. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S3. MiRNAs expression analysis in monocytes and Kupffer cells. Full-length of heatmaps are presented. -
Immune Adaptation to Chronic Intense Exercise Training: New Microarray Evidence Dongmei Liu1†, Ru Wang1†, Ana R
Liu et al. BMC Genomics (2017) 18:29 DOI 10.1186/s12864-016-3388-5 RESEARCHARTICLE Open Access Immune adaptation to chronic intense exercise training: new microarray evidence Dongmei Liu1†, Ru Wang1†, Ana R. Grant2, Jinming Zhang3, Paul M. Gordon4, Yuqin Wei1 and Peijie Chen1* Abstract Background: Endurance exercise training, especially the high-intensity training, exhibits a strong influence on the immune system. However, the mechanisms underpinning the immune-regulatory effect of exercise remain unclear. Consequently, we chose to investigate the alterations in the transcriptional profile of blood leukocytes in young endurance athletes as compared with healthy sedentary controls, using Affymetrix human gene 1.1 ST array. Results: Group differences in the transcriptome were analyzed using Intensity-based Hierarchical Bayes method followed by a Logistic Regression-based gene set enrichment method. We identified 72 significant transcripts differentially expressed in the leukocyte transcriptome of young endurance athletes as compared with non-athlete controls with a false discovery rate (FDR) < 0.05, comprising mainly the genes encoding ribosomal proteins and the genes involved in mitochondrial oxidative phosphorylation. Gene set enrichment analysis identified three major gene set clusters: two were up-regulated in athletes including gene translation and ribosomal protein production, and mitochondria oxidative phosphorylation and biogenesis; one gene set cluster identified as transcriptionally downregulated in athletes was related to inflammation and immune activity. Conclusion: Our data indicates that in young healthy individuals, intense endurance exercise training (exemplifed by athletic training) can chronically induce transcriptional changes in the peripheral blood leukocytes, upregulating genes related to protein production and mitochondrial energetics, and downregulating genes involved in inflammatory response. -
Gemin 8 (GEMIN8) Mouse Monoclonal Antibody [Clone ID: OTI4F8] Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TA805968 Gemin 8 (GEMIN8) Mouse Monoclonal Antibody [Clone ID: OTI4F8] Product data: Product Type: Primary Antibodies Clone Name: OTI4F8 Applications: IHC, WB Recommended Dilution: WB 1:2000, IHC 1:150 Reactivity: Human Host: Mouse Isotype: IgG1 Clonality: Monoclonal Immunogen: Full length human recombinant protein of human GEMIN8 (NP_060326) produced in E.coli. Formulation: PBS (PH 7.3) containing 1% BSA, 50% glycerol and 0.02% sodium azide. Concentration: 1 mg/ml Purification: Purified from mouse ascites fluids or tissue culture supernatant by affinity chromatography (protein A/G) Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 28.5 kDa Gene Name: gem nuclear organelle associated protein 8 Database Link: NP_060326 Entrez Gene 54960 Human Q9NWZ8 Background: The protein encoded by this gene is part of the SMN complex, which is necessary for spliceosomal snRNP assembly in the cytoplasm and pre-mRNA splicing in the nucleus. The encoded protein binds to both SMN1 and the GEMIN6/GEMIN7 heterodimer, mediating their interaction. This protein is found in nuclear Gemini of Cajal bodies (gems) and in the cytoplasm. Three transcript variants encoding the same protein have been found for this gene. [provided by RefSeq, May 2010] This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 3 Gemin 8 (GEMIN8) Mouse Monoclonal Antibody [Clone ID: OTI4F8] – TA805968 Synonyms: FAM51A1 Product images: HEK293T cells were transfected with the pCMV6- ENTRY control (Left lane) or pCMV6-ENTRY GEMIN8 ([RC213444], Right lane) cDNA for 48 hrs and lysed. -
The Role of Nuclear Bodies in Gene Expression and Disease
Biology 2013, 2, 976-1033; doi:10.3390/biology2030976 OPEN ACCESS biology ISSN 2079-7737 www.mdpi.com/journal/biology Review The Role of Nuclear Bodies in Gene Expression and Disease Marie Morimoto and Cornelius F. Boerkoel * Department of Medical Genetics, Child & Family Research Institute, University of British Columbia, Vancouver, BC V5Z 4H4, Canada; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-604-875-2157; Fax: +1-604-875-2376. Received: 15 May 2013; in revised form: 13 June 2013 / Accepted: 20 June 2013 / Published: 9 July 2013 Abstract: This review summarizes the current understanding of the role of nuclear bodies in regulating gene expression. The compartmentalization of cellular processes, such as ribosome biogenesis, RNA processing, cellular response to stress, transcription, modification and assembly of spliceosomal snRNPs, histone gene synthesis and nuclear RNA retention, has significant implications for gene regulation. These functional nuclear domains include the nucleolus, nuclear speckle, nuclear stress body, transcription factory, Cajal body, Gemini of Cajal body, histone locus body and paraspeckle. We herein review the roles of nuclear bodies in regulating gene expression and their relation to human health and disease. Keywords: nuclear bodies; transcription; gene expression; genome organization 1. Introduction Gene expression is a multistep process that is vital for the development, adaptation and survival of all living organisms. Regulation of gene expression occurs at the level of transcription, RNA processing, RNA export, translation and protein degradation [1±3]. The nucleus has the ability to modulate gene expression at each of these levels. How the nucleus executes this regulation is gradually being dissected. -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
Lorena Novoa-Aponte
A Strain: fl/fl ∆hep Strain: fl/fl ∆hep AnalysisAAV: ofLuc the ironLuc chaperonePCBP1-WT PCBP1PCBP1-∆Fe interactome:PCBP1-∆RNA PCBP1 variant intersection of DNA repair and iron traffickingAAV: Luc Luc WT ∆Fe ∆RNA PCBP1 −40 Lorena Novoa-Aponte a*, Sarju J. Patel a, Olga Protchenko a, James Wohlschlegel b, Caroline C. Philpott a −40 PCBP1, IHC PCBP1, GAPDH - a Genetics and Metabolism Section,a NIDDK, NIH, Bethesda, MD, USA. b Department of Biological Chemistry, UCLA, Los Angeles, CA, USA C.C. Philpott, et al. *[email protected] 80 B P = 0.0262 60 40 1. Iron is essential but toxic 2. Increased DNA damage in cells lacking PCBP1 ns H&E ? + 20 C.C. Philpott, et al. Iron is used as an essential cofactor by several enzymes involved in DNA ⦿ Increased TUNEL in cells and tissue livers from mice lacking PCBP1. ? replication and repair. However, unchaperoned iron promotes redox ⦿ PCBP1 binds both, iron and single-stranded nucleicTG, nmol/mg protein 0 acids. stress that may affect DNA stability. Strain: Δhep Δhep Δhep ? ⦿ The iron binding activity of PCBP1 controls suppressionAAV: of DNA damage C WT ∆Fe ∆RNA PCBP1 variant ? Iron storage HEK293 cells Mouse Liver ? A 8 siNT+P1var 100 ? A 8 var siPCBP1 2 ? Mammals use the iron siNT+P1 ns var Fe-S cluster assembly 6 siPCBP1+P1siPCBP1 80 ADI1 TUNEL chaperone PCBP1 to var ? 6 siPCBP1+P1 metalate several iron- 60 = 0.0468 = 0.0354 = 0.0465 cell / mm population P P P population + dependent enzymes + 4 + 4 ? 40 Degradation of HIF1α Fig. 3. Iron chaperone-mediated handling of cytosolic labile iron pool. -
U1 Snrnp Regulates Chromatin Retention of Noncoding Rnas
bioRxiv preprint doi: https://doi.org/10.1101/310433; this version posted April 29, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. U1 snRNP regulates chromatin retention of noncoding RNAs Yafei Yin,1,* J. Yuyang Lu,1 Xuechun Zhang,1 Wen Shao,1 Yanhui Xu,1 Pan Li,1,2 Yantao Hong,1 Qiangfeng Cliff Zhang,2 and Xiaohua Shen 1,3,* 1 Tsinghua-Peking Center for Life Sciences, School of Medicine and School of Life Sciences, Tsinghua University, Beijing 100084, China 2 MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China 3 Lead Contact *Correspondence: [email protected] (Y.Y.), [email protected] (X.S.) Running title: U1 snRNP regulates ncRNA-chromatin retention Keywords: RNA-chromatin localization, U1 snRNA, lncRNA, PROMPTs and eRNA, splicing 1 bioRxiv preprint doi: https://doi.org/10.1101/310433; this version posted April 29, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Thousands of noncoding transcripts exist in mammalian genomes, and they preferentially localize to chromatin. Here, to identify cis-regulatory elements that control RNA-chromatin association, we developed a high-throughput method named RNA element for subcellular localization by sequencing (REL-seq). Coupling REL-seq with random mutagenesis (mutREL-seq), we discovered a key 7-nt U1 recognition motif in chromatin-enriched RNA elements. -
Newfound Coding Potential of Transcripts Unveils Missing Members Of
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.02.406710; this version posted December 3, 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 4.0 International license. 1 Newfound coding potential of transcripts unveils missing members of 2 human protein communities 3 4 Sebastien Leblanc1,2, Marie A Brunet1,2, Jean-François Jacques1,2, Amina M Lekehal1,2, Andréa 5 Duclos1, Alexia Tremblay1, Alexis Bruggeman-Gascon1, Sondos Samandi1,2, Mylène Brunelle1,2, 6 Alan A Cohen3, Michelle S Scott1, Xavier Roucou1,2,* 7 1Department of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, 8 Quebec, Canada. 9 2 PROTEO, Quebec Network for Research on Protein Function, Structure, and Engineering. 10 3Department of Family Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada. 11 12 *Corresponding author: Tel. (819) 821-8000x72240; E-Mail: [email protected] 13 14 15 Running title: Alternative proteins in communities 16 17 Keywords: alternative proteins, protein network, protein-protein interactions, pseudogenes, 18 affinity purification-mass spectrometry 19 20 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.12.02.406710; this version posted December 3, 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 4.0 International license. 21 Abstract 22 23 Recent proteogenomic approaches have led to the discovery that regions of the transcriptome 24 previously annotated as non-coding regions (i.e.