A Genome-Scale Protein Interaction Profile of Drosophila P53
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Apoptosis Induced by Proteasome Inhibition in Cancer Cells: Predominant Role of the P53/PUMA Pathway
Oncogene (2007) 26, 1681–1692 & 2007 Nature Publishing Group All rights reserved 0950-9232/07 $30.00 www.nature.com/onc ORIGINAL ARTICLE Apoptosis induced by proteasome inhibition in cancer cells: predominant role of the p53/PUMA pathway CG Concannon1, BF Koehler1,2, Claus Reimertz2, BM Murphy1, C Bonner1, N Thurow2, MW Ward1, AVillunger 3, AStrasser 4,DKo¨ gel2,5 and JHM Prehn1,5 1Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland; 2Experimental Neurosurgery, Centre for Neurology and Neurosurgery, Johann Wolfgang Goethe University Clinics, Theodor-Stern-Kai 7, Frankfurt/Main, Germany; 3Division of Experimental Pathophysiology and Immunology, Biocenter, Innsbruck Medical University, Innsbruck, Austria and 4The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia The proteasome has emerged as a novel target for Introduction antineoplastic treatment of hematological malignancies and solid tumors, including those of the central nervous The correct functioning of the ubiquitin-proteasome system. To identify cell death pathways activated in pathway is essential for the degradation of the majority response to inhibition of the proteasome system in cancer of intracellular proteins. Several key regulatory proteins cells, we treated human SH-SY5Y neuroblastoma cells involved in cell proliferation and differentiation are with the selective proteasome inhibitor (PI) epoxomicin regulated by proteasome-mediated proteolysis resulting (Epoxo). Prolonged exposure to Epoxo was associated in the activation or inhibition of specific cell signaling with increased levels of poly-ubiquitinylated proteins and pathways (Adams, 2004a). The proteasome is also p53, release of cytochrome c from the mitochondria, and central to the regulation of cell death and apoptosis. -
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. -
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 -
Supplementary Data
SUPPLEMENTARY DATA A cyclin D1-dependent transcriptional program predicts clinical outcome in mantle cell lymphoma Santiago Demajo et al. 1 SUPPLEMENTARY DATA INDEX Supplementary Methods p. 3 Supplementary References p. 8 Supplementary Tables (S1 to S5) p. 9 Supplementary Figures (S1 to S15) p. 17 2 SUPPLEMENTARY METHODS Western blot, immunoprecipitation, and qRT-PCR Western blot (WB) analysis was performed as previously described (1), using cyclin D1 (Santa Cruz Biotechnology, sc-753, RRID:AB_2070433) and tubulin (Sigma-Aldrich, T5168, RRID:AB_477579) antibodies. Co-immunoprecipitation assays were performed as described before (2), using cyclin D1 antibody (Santa Cruz Biotechnology, sc-8396, RRID:AB_627344) or control IgG (Santa Cruz Biotechnology, sc-2025, RRID:AB_737182) followed by protein G- magnetic beads (Invitrogen) incubation and elution with Glycine 100mM pH=2.5. Co-IP experiments were performed within five weeks after cell thawing. Cyclin D1 (Santa Cruz Biotechnology, sc-753), E2F4 (Bethyl, A302-134A, RRID:AB_1720353), FOXM1 (Santa Cruz Biotechnology, sc-502, RRID:AB_631523), and CBP (Santa Cruz Biotechnology, sc-7300, RRID:AB_626817) antibodies were used for WB detection. In figure 1A and supplementary figure S2A, the same blot was probed with cyclin D1 and tubulin antibodies by cutting the membrane. In figure 2H, cyclin D1 and CBP blots correspond to the same membrane while E2F4 and FOXM1 blots correspond to an independent membrane. Image acquisition was performed with ImageQuant LAS 4000 mini (GE Healthcare). Image processing and quantification were performed with Multi Gauge software (Fujifilm). For qRT-PCR analysis, cDNA was generated from 1 µg RNA with qScript cDNA Synthesis kit (Quantabio). qRT–PCR reaction was performed using SYBR green (Roche). -
Molecular Genetics of Microcephaly Primary Hereditary: an Overview
brain sciences Review Molecular Genetics of Microcephaly Primary Hereditary: An Overview Nikistratos Siskos † , Electra Stylianopoulou †, Georgios Skavdis and Maria E. Grigoriou * Department of Molecular Biology & Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece; [email protected] (N.S.); [email protected] (E.S.); [email protected] (G.S.) * Correspondence: [email protected] † Equal contribution. Abstract: MicroCephaly Primary Hereditary (MCPH) is a rare congenital neurodevelopmental disorder characterized by a significant reduction of the occipitofrontal head circumference and mild to moderate mental disability. Patients have small brains, though with overall normal architecture; therefore, studying MCPH can reveal not only the pathological mechanisms leading to this condition, but also the mechanisms operating during normal development. MCPH is genetically heterogeneous, with 27 genes listed so far in the Online Mendelian Inheritance in Man (OMIM) database. In this review, we discuss the role of MCPH proteins and delineate the molecular mechanisms and common pathways in which they participate. Keywords: microcephaly; MCPH; MCPH1–MCPH27; molecular genetics; cell cycle 1. Introduction Citation: Siskos, N.; Stylianopoulou, Microcephaly, from the Greek word µικρoκεϕαλi´α (mikrokephalia), meaning small E.; Skavdis, G.; Grigoriou, M.E. head, is a term used to describe a cranium with reduction of the occipitofrontal head circum- Molecular Genetics of Microcephaly ference equal, or more that teo standard deviations -
Centrosome Impairment Causes DNA Replication Stress Through MLK3
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.09.898684; this version posted January 10, 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. Centrosome impairment causes DNA replication stress through MLK3/MK2 signaling and R-loop formation Zainab Tayeh 1, Kim Stegmann 1, Antonia Kleeberg 1, Mascha Friedrich 1, Josephine Ann Mun Yee Choo 1, Bernd Wollnik 2, and Matthias Dobbelstein 1* 1) Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, Göttingen, Germany 2) Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany *Lead Contact. Correspondence and requests for materials should be addressed to M. D. (e-mail: [email protected]; ORCID 0000-0001-5052-3967) Running title: Centrosome integrity supports DNA replication Key words: Centrosome, CEP152, CCP110, SASS6, CEP152, Polo-like kinase 4 (PLK4), DNA replication, DNA fiber assays, R-loops, MLK3, MK2 alias MAPKAPK2, Seckel syndrome, microcephaly. Highlights: • Centrosome defects cause replication stress independent of mitosis. • MLK3, p38 and MK2 (alias MAPKAPK2) are signalling between centrosome defects and DNA replication stress through R-loop formation. • Patient-derived cells with defective centrosomes display replication stress, whereas inhibition of MK2 restores their DNA replication fork progression and proliferation. 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.01.09.898684; this version posted January 10, 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. -
Centriole Overduplication Is the Predominant Mechanism Leading to Centrosome Amplification in Melanoma
Published OnlineFirst January 12, 2018; DOI: 10.1158/1541-7786.MCR-17-0197 Oncogenes and Tumor Suppressors Molecular Cancer Research Centriole Overduplication is the Predominant Mechanism Leading to Centrosome Amplification in Melanoma Ryan A. Denu1,2, Maria Shabbir3, Minakshi Nihal3, Chandra K. Singh3, B. Jack Longley3,4,5, Mark E. Burkard2,4, and Nihal Ahmad3,4,5 Abstract Centrosome amplification (CA) is common in cancer and can evaluated. PLK4 is significantly overexpressed in melanoma com- arise by centriole overduplication or by cell doubling events, pared with benign nevi and in a panel of human melanoma cell including the failure of cell division and cell–cell fusion. To assess lines (A375, Hs294T, G361, WM35, WM115, 451Lu, and SK-MEL- the relative contributions of these two mechanisms, the number of 28) compared with normal human melanocytes. Interestingly, centrosomes with mature/mother centrioles was examined by although PLK4 expression did not correlate with CA in most cases, immunofluorescence in a tissue microarray of human melanomas treatment of melanoma cells with a selective small-molecule PLK4 and benign nevi (n ¼ 79 and 17, respectively). The centrosomal inhibitor (centrinone B) significantly decreased cell proliferation. protein 170 (CEP170) was used to identify centrosomes with The antiproliferative effects of centrinone B were also accompa- mature centrioles; this is expected to be present in most centro- nied by induction of apoptosis. somes with cell doubling, but on fewer centrosomes with over- duplication. Using this method, it was determined that the major- Implications: This study demonstrates that centriole overdupli- ity of CA in melanoma can be attributed to centriole overduplica- cation is the predominant mechanism leading to centrosome tion rather than cell doubling events. -
Porcine DNAJB6 Promotes PCV2 Replication Via Enhancing The
Han et al. Vet Res (2020) 51:61 https://doi.org/10.1186/s13567-020-00783-z RESEARCH ARTICLE Open Access Porcine DNAJB6 promotes PCV2 replication via enhancing the formation of autophagy in host cells Cong Han†, Qian Du†, Lei Zhu, Nannan Chen, Le Luo, Qiao Chen, Jiatong Yin, Xingchen Wu, Dewen Tong* and Yong Huang* Abstract Hsp40/DnaJ family proteins play important roles in the infection process of various viruses. Porcine DNAJB6 (pDNAJB6) is a major member of this family, but its role in modulating the replication of porcine circovirus type 2 (PCV2) is still unclear. In the present study, pDNAJB6 was found to be signifcantly upregulated by PCV2 infection, and confrmed to be interacted with PCV2 capsid (Cap) protein and co-localized at both cytoplasm and nucleus in the PCV2-infected cells. Knockout of pDNAJB6 signifcantly reduced the formation of autophagosomes in PCV2-infected cells or in the cells expressing Cap protein, whereas overexpression of pDNAJB6 showed an opposite efect. In addi- tion, the domain mapping assay showed that the J domain of pDNAJB6 (amino acids (aa) 1–99) and the C terminus of Cap (162-234 aa) were required for the interaction of pDNAJB6 with Cap. Notably, the interaction of pDNAJB6 with Cap was very important to promoting the formation of autophagosomes induced by PCV2 infection or Cap expression and enhancing the replication of PCV2. Taken together, the results presented here show a novel function of pDNAJB6 in regulation of porcine circovirus replication that pDNAJB6 enhances the formation of autophagy to promote viral replication through interacting with viral capsid protein during PCV2 infection. -
FOXP1 Acts Through a Negative Feedback Loop to Suppress FOXO-Induced Apoptosis
Cell Death and Differentiation (2013) 20, 1219–1229 & 2013 Macmillan Publishers Limited All rights reserved 1350-9047/13 www.nature.com/cdd FOXP1 acts through a negative feedback loop to suppress FOXO-induced apoptosis R van Boxtel1,5, C Gomez-Puerto1,6, M Mokry2,6, A Eijkelenboom3, KE van der Vos1, EES Nieuwenhuis2, BMT Burgering3, EW-F Lam4 and PJ Coffer*,1,2 Transcriptional activity of Forkhead box transcription factor class O (FOXO) proteins can result in a variety of cellular outcomes depending on cell type and activating stimulus. These transcription factors are negatively regulated by the phosphoinositol 3-kinase (PI3K)–protein kinase B (PKB) signaling pathway, which is thought to have a pivotal role in regulating survival of tumor cells in a variety of cancers. Recently, it has become clear that FOXO proteins can promote resistance to anti-cancer therapeutics, designed to inhibit PI3K–PKB activity, by inducing the expression of proteins that provide feedback at different levels of this pathway. We questioned whether such a feedback mechanism may also exist directly at the level of FOXO-induced transcription. To identify critical modulators of FOXO transcriptional output, we performed gene expression analyses after conditional activation of key components of the PI3K–PKB–FOXO signaling pathway and identified FOXP1 as a direct FOXO transcriptional target. Using chromatin immunoprecipitation followed by next-generation sequencing, we show that FOXP1 binds enhancers that are pre-occupied by FOXO3. By sequencing the transcriptomes of cells in which FOXO is specifically activated in the absence of FOXP1, we demonstrate that FOXP1 can modulate the expression of a specific subset of FOXO target genes, including inhibiting expression of the pro-apoptotic gene BIK. -
Weihl 234Th Workshop Report Weihl
Workshop Report 234th ENMC International Workshop: Chaperone dysfunction in muscle disease December 8-10th 2017, Naarden, Netherlands Conrad C. Weihl1, Bjarne Udd2, Michael Hanna3 on behalf of the Workshop Participants 1 Department of Neurology, Washington University School of Medicine, Saint Louis, MO USA 2 Tampere Neuromuscular Center and Folkhalsan Genetic Institute, Helsinki, Finland 3 UCL Institute of Neurology, Queen Square, London, UK 1. Introduction: Twenty participants from Australia, Belgium, Denmark, Finland, France, Germany, Italy, Israel, The Netherlands, Sweden, UK and the USA met in Naarden, The Netherlands from December 8th-10th, 2017. This group included clinicians, clinical trialists, basic scientists, industry and patient representatives. Patients were represented by the Muscular Dystrophy Association and Alexander’s Way (BAG3 associated myopathy). The goals were to discuss the role of protein chaperones in normal muscle function, muscle disease and future therapies. Protein chaperones are a class of proteins that participate in facilitating the proper folding and assembly of protein complexes. Thus, chaperones are essential for the development and maintenance of skeletal muscle. Specifically this large group of proteins ensures that other proteins (client proteins) maintain proper structure and function or if needed, facilitates their degradation via proteolytic pathways. Chaperone dysfunction is responsible for many rare hereditary myopathies; thus correcting chaperone function may be a therapeutic option. The participants reported on various aspects of the involvement of chaperones in a large variety of muscle diseases and disease processes, ranging from primary defects in chaperone genes such as DNAJB6, BAG3 and HSPB8, to the involvement of chaperones in the larger group of myofibrillar and rimmed vacuolar myopathies including sporadic inclusion body myositis (sIBM), and beyond. -
The HSP70 Chaperone Machinery: J Proteins As Drivers of Functional Specificity
REVIEWS The HSP70 chaperone machinery: J proteins as drivers of functional specificity Harm H. Kampinga* and Elizabeth A. Craig‡ Abstract | Heat shock 70 kDa proteins (HSP70s) are ubiquitous molecular chaperones that function in a myriad of biological processes, modulating polypeptide folding, degradation and translocation across membranes, and protein–protein interactions. This multitude of roles is not easily reconciled with the universality of the activity of HSP70s in ATP-dependent client protein-binding and release cycles. Much of the functional diversity of the HSP70s is driven by a diverse class of cofactors: J proteins. Often, multiple J proteins function with a single HSP70. Some target HSP70 activity to clients at precise locations in cells and others bind client proteins directly, thereby delivering specific clients to HSP70 and directly determining their fate. In their native cellular environment, polypeptides are participates in such diverse cellular functions. Their constantly at risk of attaining conformations that pre- functional diversity is remarkable considering that vent them from functioning properly and/or cause them within and across species, HSP70s have high sequence to aggregate into large, potentially cytotoxic complexes. identity. They share a single biochemical activity: an Molecular chaperones guide the conformation of proteins ATP-dependent client-binding and release cycle com- throughout their lifetime, preventing their aggregation bined with client protein recognition, which is typi- by protecting interactive surfaces against non-productive cally rather promiscuous. This apparent conundrum interactions. Through such inter actions, molecular chap- is resolved by the fact that HSP70s do not work alone, erones aid in the folding of nascent proteins as they are but rather as ‘HSP70 machines’, collaborating with synthesized by ribosomes, drive protein transport across and being regulated by several cofactors.