PP2A-B′ Holoenzyme Substrate Recognition, Regulation and Role in Cytokinesis
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Supplemental Information Proximity Interactions Among Centrosome
Current Biology, Volume 24 Supplemental Information Proximity Interactions among Centrosome Components Identify Regulators of Centriole Duplication Elif Nur Firat-Karalar, Navin Rauniyar, John R. Yates III, and Tim Stearns Figure S1 A Myc Streptavidin -tubulin Merge Myc Streptavidin -tubulin Merge BirA*-PLK4 BirA*-CEP63 BirA*- CEP192 BirA*- CEP152 - BirA*-CCDC67 BirA* CEP152 CPAP BirA*- B C Streptavidin PCM1 Merge Myc-BirA* -CEP63 PCM1 -tubulin Merge BirA*- CEP63 DMSO - BirA* CEP63 nocodazole BirA*- CCDC67 Figure S2 A GFP – + – + GFP-CEP152 + – + – Myc-CDK5RAP2 + + + + (225 kDa) Myc-CDK5RAP2 (216 kDa) GFP-CEP152 (27 kDa) GFP Input (5%) IP: GFP B GFP-CEP152 truncation proteins Inputs (5%) IP: GFP kDa 1-7481-10441-1290218-1654749-16541045-16541-7481-10441-1290218-1654749-16541045-1654 250- Myc-CDK5RAP2 150- 150- 100- 75- GFP-CEP152 Figure S3 A B CEP63 – – + – – + GFP CCDC14 KIAA0753 Centrosome + – – + – – GFP-CCDC14 CEP152 binding binding binding targeting – + – – + – GFP-KIAA0753 GFP-KIAA0753 (140 kDa) 1-496 N M C 150- 100- GFP-CCDC14 (115 kDa) 1-424 N M – 136-496 M C – 50- CEP63 (63 kDa) 1-135 N – 37- GFP (27 kDa) 136-424 M – kDa 425-496 C – – Inputs (2%) IP: GFP C GFP-CEP63 truncation proteins D GFP-CEP63 truncation proteins Inputs (5%) IP: GFP Inputs (5%) IP: GFP kDa kDa 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl Myc- 150- Myc- 100- CCDC14 KIAA0753 100- 100- 75- 75- GFP- GFP- 50- CEP63 50- CEP63 37- 37- Figure S4 A siCtl -
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242 S-M Ho et al. Regulation of centrosome 24:2 83–96 Research duplication by BPA analogues Bisphenol A and its analogues disrupt centrosome cycle and microtubule dynamics in prostate cancer Shuk-Mei Ho1,2,3,4, Rahul Rao1, Sarah To1,5,6, Emma Schoch1 and Pheruza Tarapore1,2,3 1Department of Environmental Health, University of Cincinnati Medical Center, Cincinnati, Ohio, USA 2Center for Environmental Genetics, University of Cincinnati Medical Center, Cincinnati, Ohio, USA Correspondence 3Cincinnati Cancer Center, Cincinnati, Ohio, USA should be addressed 4Cincinnati Veteran Affairs Hospital Medical Center, Cincinnati, Ohio, USA to S-M Ho or P Tarapore 5Center for Cancer Research, Hudson Institute of Medical Research, Clayton, Victoria, Australia Email 6Monash University, Clayton, Victoria, Australia [email protected] or [email protected] Abstract Humans are increasingly exposed to structural analogues of bisphenol A (BPA), as Key Words BPA is being replaced by these compounds in BPA-free consumer products. We have f endocrine-disrupting previously shown that chronic and developmental exposure to BPA is associated with chemicals increased prostate cancer (PCa) risk in human and animal models. Here, we examine f bisphenol A analogues whether exposure of PCa cells (LNCaP, C4-2) to low-dose BPA and its structural analogues f BPA (BPS, BPF, BPAF, TBBPA, DMBPA and TMBPA) affects centrosome amplification (CA), f BPS a hallmark of cancer initiation and progression. We found that exposure to BPA, BPS, f BPF DMBPA and TBBPA, in descending order, increased the number of cells with CA, in a non- f TBBPA Endocrine-Related Cancer Endocrine-Related monotonic dose–response manner. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
Integrative Clinical Sequencing in the Management of Refractory Or
Supplementary Online Content Mody RJ, Wu Y-M, Lonigro RJ, et al. Integrative Clinical Sequencing in the Management of Children and Young Adults With Refractory or Relapsed CancerJAMA. doi:10.1001/jama.2015.10080. eAppendix. Supplementary appendix This supplementary material has been provided by the authors to give readers additional information about their work. © 2015 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 09/29/2021 SUPPLEMENTARY APPENDIX Use of Integrative Clinical Sequencing in the Management of Pediatric Cancer Patients *#Rajen J. Mody, M.B.B.S, M.S., *Yi-Mi Wu, Ph.D., Robert J. Lonigro, M.S., Xuhong Cao, M.S., Sameek Roychowdhury, M.D., Ph.D., Pankaj Vats, M.S., Kevin M. Frank, M.S., John R. Prensner, M.D., Ph.D., Irfan Asangani, Ph.D., Nallasivam Palanisamy Ph.D. , Raja M. Rabah, M.D., Jonathan R. Dillman, M.D., Laxmi Priya Kunju, M.D., Jessica Everett, M.S., Victoria M. Raymond, M.S., Yu Ning, M.S., Fengyun Su, Ph.D., Rui Wang, M.S., Elena M. Stoffel, M.D., Jeffrey W. Innis, M.D., Ph.D., J. Scott Roberts, Ph.D., Patricia L. Robertson, M.D., Gregory Yanik, M.D., Aghiad Chamdin, M.D., James A. Connelly, M.D., Sung Choi, M.D., Andrew C. Harris, M.D., Carrie Kitko, M.D., Rama Jasty Rao, M.D., John E. Levine, M.D., Valerie P. Castle, M.D., Raymond J. Hutchinson, M.D., Moshe Talpaz, M.D., ^Dan R. Robinson, Ph.D., and ^#Arul M. Chinnaiyan, M.D., Ph.D. CORRESPONDING AUTHOR (S): # Arul M. -
S41467-019-10037-Y.Pdf
ARTICLE https://doi.org/10.1038/s41467-019-10037-y OPEN Feedback inhibition of cAMP effector signaling by a chaperone-assisted ubiquitin system Laura Rinaldi1, Rossella Delle Donne1, Bruno Catalanotti 2, Omar Torres-Quesada3, Florian Enzler3, Federica Moraca 4, Robert Nisticò5, Francesco Chiuso1, Sonia Piccinin5, Verena Bachmann3, Herbert H Lindner6, Corrado Garbi1, Antonella Scorziello7, Nicola Antonino Russo8, Matthis Synofzik9, Ulrich Stelzl 10, Lucio Annunziato11, Eduard Stefan 3 & Antonio Feliciello1 1234567890():,; Activation of G-protein coupled receptors elevates cAMP levels promoting dissociation of protein kinase A (PKA) holoenzymes and release of catalytic subunits (PKAc). This results in PKAc-mediated phosphorylation of compartmentalized substrates that control central aspects of cell physiology. The mechanism of PKAc activation and signaling have been largely characterized. However, the modes of PKAc inactivation by regulated proteolysis were unknown. Here, we identify a regulatory mechanism that precisely tunes PKAc stability and downstream signaling. Following agonist stimulation, the recruitment of the chaperone- bound E3 ligase CHIP promotes ubiquitylation and proteolysis of PKAc, thus attenuating cAMP signaling. Genetic inactivation of CHIP or pharmacological inhibition of HSP70 enhances PKAc signaling and sustains hippocampal long-term potentiation. Interestingly, primary fibroblasts from autosomal recessive spinocerebellar ataxia 16 (SCAR16) patients carrying germline inactivating mutations of CHIP show a dramatic dysregulation of PKA signaling. This suggests the existence of a negative feedback mechanism for restricting hormonally controlled PKA activities. 1 Department of Molecular Medicine and Medical Biotechnologies, University Federico II, 80131 Naples, Italy. 2 Department of Pharmacy, University Federico II, 80131 Naples, Italy. 3 Institute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, A-6020 Innsbruck, Austria. -
Expression and Role of Ubiquitin-Specific Peptidases In
International Journal of Molecular Sciences Review Expression and Role of Ubiquitin-Specific Peptidases in Osteoblasts Hadla Hariri 1,2 and René St-Arnaud 1,2,3,4,* 1 Research Centre, Shriners Hospital for Children, Montreal, QC H4A 0A9, Canada; [email protected] 2 Department of Human Genetics, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3A 0C7, Canada 3 Department of Surgery, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3G 1A4, Canada 4 Department of Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3A 1A1, Canada * Correspondence: [email protected]; Tel.: +514-282-7155; Fax: +514-842-5581 Abstract: The ubiquitin-proteasome system regulates biological processes in normal and diseased states. Recent investigations have focused on ubiquitin-dependent modifications and their impacts on cellular function, commitment, and differentiation. Ubiquitination is reversed by deubiquitinases, including ubiquitin-specific peptidases (USPs), whose roles have been widely investigated. In this review, we explore recent findings highlighting the regulatory functions of USPs in osteoblasts and providing insight into the molecular mechanisms governing their actions during bone formation. We also give a brief overview of our work on USP53, a target of PTH in osteoblasts and a regulator of mesenchymal cell lineage fate decisions. Emerging evidence addresses questions pertaining to the complex layers of regulation exerted by USPs on osteoblast signaling. We provide a short overview of our and others’ understanding of how USPs modulate osteoblastogenesis. However, further studies using knockout mouse models are needed to fully understand the mechanisms underpinning Citation: Hariri, H.; St-Arnaud, R. -
Supplementary File 1. Identity-‐By-‐Descent Allele
Supplementary File 1. Identity-by-descent allele-sharing analysis of 12q23 region in families with HELLP: microsatellite markers Legends Identity-by-descent (IBD) allele-sharing analysis in families with HELLP was performed with 26 microsatellite markers covering the 23.6 Mb region on 12q23 between D12S309 and D12S395. Non-parametric multipoint linkage (Allegro 2) complemented by pedigree analysis was performed in 7 HELLP families with affected sisters (families 1-7), 4 families with affected cousins (families 8-11) and 1 family with discordant monozygotic twin sisters (family 12). A total of 57 individuals with 36 affected females was analyzed. Supplementary File 1A: Multipoint linkage analysis using Smnallele indicates the 4 marker region between PAH and D12S1647 with LOD and NPL scores >3 (box). Supplementary files 1B-D: Pedigree analysis indicates the same region with the presence of two minimal critial regions (I: D12S1607-PAH, II: D12S338-D123S317) in affected sister-pairs (1B), affected cousin pairs (1C) and discordant monozytic twin sisters (1D). Note the informative situation in family 11 (HELLP_93113) (1C) where two sisters from one family married two brothers from an unrelated family. In the affected cousins (93113/89, 93113/90) born from these couples, both alleles need to be shared in the region with linkage, as if these cousins were sisters. In the affected cousins (93113/89, 93113/90), both regions are supported. In their affected mothers (93113/12, 93113/8), maximal allele sharing is limited to the first region near D12S1030. -
Downloaded Per Proteome Cohort Via the Web- Site Links of Table 1, Also Providing Information on the Deposited Spectral Datasets
www.nature.com/scientificreports OPEN Assessment of a complete and classifed platelet proteome from genome‑wide transcripts of human platelets and megakaryocytes covering platelet functions Jingnan Huang1,2*, Frauke Swieringa1,2,9, Fiorella A. Solari2,9, Isabella Provenzale1, Luigi Grassi3, Ilaria De Simone1, Constance C. F. M. J. Baaten1,4, Rachel Cavill5, Albert Sickmann2,6,7,9, Mattia Frontini3,8,9 & Johan W. M. Heemskerk1,9* Novel platelet and megakaryocyte transcriptome analysis allows prediction of the full or theoretical proteome of a representative human platelet. Here, we integrated the established platelet proteomes from six cohorts of healthy subjects, encompassing 5.2 k proteins, with two novel genome‑wide transcriptomes (57.8 k mRNAs). For 14.8 k protein‑coding transcripts, we assigned the proteins to 21 UniProt‑based classes, based on their preferential intracellular localization and presumed function. This classifed transcriptome‑proteome profle of platelets revealed: (i) Absence of 37.2 k genome‑ wide transcripts. (ii) High quantitative similarity of platelet and megakaryocyte transcriptomes (R = 0.75) for 14.8 k protein‑coding genes, but not for 3.8 k RNA genes or 1.9 k pseudogenes (R = 0.43–0.54), suggesting redistribution of mRNAs upon platelet shedding from megakaryocytes. (iii) Copy numbers of 3.5 k proteins that were restricted in size by the corresponding transcript levels (iv) Near complete coverage of identifed proteins in the relevant transcriptome (log2fpkm > 0.20) except for plasma‑derived secretory proteins, pointing to adhesion and uptake of such proteins. (v) Underrepresentation in the identifed proteome of nuclear‑related, membrane and signaling proteins, as well proteins with low‑level transcripts. -
Renoprotective Effect of Combined Inhibition of Angiotensin-Converting Enzyme and Histone Deacetylase
BASIC RESEARCH www.jasn.org Renoprotective Effect of Combined Inhibition of Angiotensin-Converting Enzyme and Histone Deacetylase † ‡ Yifei Zhong,* Edward Y. Chen, § Ruijie Liu,*¶ Peter Y. Chuang,* Sandeep K. Mallipattu,* ‡ ‡ † | ‡ Christopher M. Tan, § Neil R. Clark, § Yueyi Deng, Paul E. Klotman, Avi Ma’ayan, § and ‡ John Cijiang He* ¶ *Department of Medicine, Mount Sinai School of Medicine, New York, New York; †Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China; ‡Department of Pharmacology and Systems Therapeutics and §Systems Biology Center New York, Mount Sinai School of Medicine, New York, New York; |Baylor College of Medicine, Houston, Texas; and ¶Renal Section, James J. Peters Veterans Affairs Medical Center, New York, New York ABSTRACT The Connectivity Map database contains microarray signatures of gene expression derived from approximately 6000 experiments that examined the effects of approximately 1300 single drugs on several human cancer cell lines. We used these data to prioritize pairs of drugs expected to reverse the changes in gene expression observed in the kidneys of a mouse model of HIV-associated nephropathy (Tg26 mice). We predicted that the combination of an angiotensin-converting enzyme (ACE) inhibitor and a histone deacetylase inhibitor would maximally reverse the disease-associated expression of genes in the kidneys of these mice. Testing the combination of these inhibitors in Tg26 mice revealed an additive renoprotective effect, as suggested by reduction of proteinuria, improvement of renal function, and attenuation of kidney injury. Furthermore, we observed the predicted treatment-associated changes in the expression of selected genes and pathway components. In summary, these data suggest that the combination of an ACE inhibitor and a histone deacetylase inhibitor could have therapeutic potential for various kidney diseases. -
A SARS-Cov-2 Protein Interaction Map Reveals Targets for Drug Repurposing
Article A SARS-CoV-2 protein interaction map reveals targets for drug repurposing https://doi.org/10.1038/s41586-020-2286-9 A list of authors and affiliations appears at the end of the paper Received: 23 March 2020 Accepted: 22 April 2020 A newly described coronavirus named severe acute respiratory syndrome Published online: 30 April 2020 coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than Check for updates 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efcacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and eforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identifed the human proteins that physically associated with each of the SARS-CoV-2 proteins using afnity-purifcation mass spectrometry, identifying 332 high-confdence protein–protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. -
A Novel Homozygous USP53 Splicing Variant Disrupting the Gene Function That Causes Cholestasis Phenotype and Review of the Literature
A Novel Homozygous USP53 Splicing Variant Disrupting the Gene Function that Causes Cholestasis Phenotype and Review of the Literature ALPER GEZDIRICI ( [email protected] ) Basaksehir Cam and Sakura City Hospital https://orcid.org/0000-0002-2432-9279 ÖZLEM KALAYCIK ŞENGÜL İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi: Istanbul Kanuni Sultan Suleyman Egitim ve Arastirma Hastanesi MUSTAFA DOĞAN Basaksehir Cam and Sakura City Hospital BANU YILMAZ ÖZGÜVEN Basaksehir Cam and Sakura City Hospital EKREM AKBULUT Malatya Turgut Özal Üniversitesi: Malatya Turgut Ozal Universitesi Research Article Keywords: USP53, cholestasis, homology modeling, whole exome sequencing Posted Date: August 12th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-762230/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/19 Abstract Background: Hereditary cholestasis is a heterogeneous group of liver diseases that mostly show autosomal recessive inheritance. The phenotype of cholestasis is highly variable. Molecular genetic testing offers a useful approach to differentiate different types of cholestasis because some symptoms and ndings overlap. Biallelic variants in USP53 have recently been reported in cholestasis phenotype. In this study we aim to characterize clinical ndings and biological insights on a novel USP53 splice variant causing cholestasis phenotype and review of the literature. Methods and Results: We reported a novel splice variant (NM_019050.2:c.238-1G>C) in the USP53 gene via whole exome sequencing in a patient with cholestasis phenotype. This variant was conrmed by sanger sequencing and as a result of family segregation analysis; it was found to be a heterozygous state in the parents and the other healthy elder brother of our patient. -
Immune Profiling of Premalignant Lesions in Patients with Lynch Syndrome
Supplementary Online Content Chang K, Taggart MW, Reyes-Uribe L, et al. Immune profiling of premalignant lesions in patients with Lynch syndrome. JAMA Oncol. Published online April 16, 2018. doi:10.1001/jamaoncol.2018.1482 eTable 1. Clinical characteristics of FAP and LS patients eTable 2. Pathology characteristics of FAP and LS polyps eTable 3. Immune profile of LS polyps compared to FAP eTable 4. Immune profile of FAP polyps LS polyps, and LS carcinomas eTable 5. Gene set enrichment analysis of FAP and LS polyps, LS tumor eTable 6. Mutational rate analysis in FAP, LS and LS hypermutated polyps, and Nonhyper and hypermutated Stage I-II TCGA CRC using RNAseq data eTable 7. Immune profile of LS polyps classified by mutational rate (hyper- versus non- hypermutant) eTable 8. Predicted Class I and II HLA genotype of FAP and LS normal mucosa samples eTable 9. List of Predicted neoantigens eTable 10. Pathways analysis of MHC I and II neoantigens eTable 11. Germline and somatic mutation detected in FAP and LS polyps. Mutational data derived from RNA-seq analysis eFigure 1. Immune profile of Lynch syndrome premalignancy and carcinomas eFigure 2. Correlation of DNA and RNA mutation rate in samples from TCGA eFigure 3. Mutation Spectrum of FAP and LS polyps eFigure 4. Immunohistochemical staining of CD4 and FOXP3 eFigure 5. MHC Class I and II neoantigens in Lynch syndrome and FAP premalignancy, and LS carcinomas eMaterials and Methods eReferences © 2018 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 09/24/2021 This supplementary material has been provided by the authors to give readers additional information about their work.