Bag6 Complex Contains a Minimal Tail-Anchor–Targeting Module and a Mock BAG Domain
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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. -
A Cell Line P53 Mutation Type UM
A Cell line p53 mutation Type UM-SCC 1 wt UM-SCC5 Exon 5, 157 GTC --> TTC Missense mutation by transversion (Valine --> Phenylalanine UM-SCC6 wt UM-SCC9 wt UM-SCC11A wt UM-SCC11B Exon 7, 242 TGC --> TCC Missense mutation by transversion (Cysteine --> Serine) UM-SCC22A Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC22B Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC38 Exon 5, 132 AAG --> AAT Missense mutation by transversion (Lysine --> Asparagine) UM-SCC46 Exon 8, 278 CCT --> CGT Missense mutation by transversion (Proline --> Alanine) B 1 Supplementary Methods Cell Lines and Cell Culture A panel of ten established HNSCC cell lines from the University of Michigan series (UM-SCC) was obtained from Dr. T. E. Carey at the University of Michigan, Ann Arbor, MI. The UM-SCC cell lines were derived from eight patients with SCC of the upper aerodigestive tract (supplemental Table 1). Patient age at tumor diagnosis ranged from 37 to 72 years. The cell lines selected were obtained from patients with stage I-IV tumors, distributed among oral, pharyngeal and laryngeal sites. All the patients had aggressive disease, with early recurrence and death within two years of therapy. Cell lines established from single isolates of a patient specimen are designated by a numeric designation, and where isolates from two time points or anatomical sites were obtained, the designation includes an alphabetical suffix (i.e., "A" or "B"). The cell lines were maintained in Eagle's minimal essential media supplemented with 10% fetal bovine serum and penicillin/streptomycin. -
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. -
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). -
Learning Protein Constitutive Motifs from Sequence Data Je´ Roˆ Me Tubiana, Simona Cocco, Re´ Mi Monasson*
TOOLS AND RESOURCES Learning protein constitutive motifs from sequence data Je´ roˆ me Tubiana, Simona Cocco, Re´ mi Monasson* Laboratory of Physics of the Ecole Normale Supe´rieure, CNRS UMR 8023 & PSL Research, Paris, France Abstract Statistical analysis of evolutionary-related protein sequences provides information about their structure, function, and history. We show that Restricted Boltzmann Machines (RBM), designed to learn complex high-dimensional data and their statistical features, can efficiently model protein families from sequence information. We here apply RBM to 20 protein families, and present detailed results for two short protein domains (Kunitz and WW), one long chaperone protein (Hsp70), and synthetic lattice proteins for benchmarking. The features inferred by the RBM are biologically interpretable: they are related to structure (residue-residue tertiary contacts, extended secondary motifs (a-helixes and b-sheets) and intrinsically disordered regions), to function (activity and ligand specificity), or to phylogenetic identity. In addition, we use RBM to design new protein sequences with putative properties by composing and ’turning up’ or ’turning down’ the different modes at will. Our work therefore shows that RBM are versatile and practical tools that can be used to unveil and exploit the genotype–phenotype relationship for protein families. DOI: https://doi.org/10.7554/eLife.39397.001 Introduction In recent years, the sequencing of many organisms’ genomes has led to the collection of a huge number of protein sequences, which are catalogued in databases such as UniProt or PFAM Finn et al., 2014). Sequences that share a common ancestral origin, defining a family (Figure 1A), *For correspondence: are likely to code for proteins with similar functions and structures, providing a unique window into [email protected] the relationship between genotype (sequence content) and phenotype (biological features). -
Mouse Gm44504 Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Gm44504 Knockout Project (CRISPR/Cas9) Objective: To create a Gm44504 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Gm44504 gene (NCBI Reference Sequence: NM_001278271 ; Ensembl: ENSMUSG00000015290 ) is located on Mouse chromosome X. 7 exons are identified, with the ATG start codon in exon 4 and the TAG stop codon in exon 7 (Transcript: ENSMUST00000178691). Exon 6 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 6 starts from about 32.91% of the coding region. Exon 6 covers 44.37% of the coding region. The size of effective KO region: ~209 bp. The KO region does not have any other known gene. Page 1 of 9 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 6 7 Legends Exon of mouse Gm44504 Knockout region Page 2 of 9 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 209 bp section of Exon 6 is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix. So this region is suitable for PCR screening or sequencing analysis. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 209 bp section of Exon 6 is aligned with itself to determine if there are tandem repeats. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Co-Chaperone Potentiation of Vitamin D Receptor-Mediated Transactivation
81 Co-chaperone potentiation of vitamin D receptor-mediated transactivation: a role for Bcl2-associated athanogene-1 as an intracellular-binding protein for 1,25-dihydroxyvitamin D3 R F Chun, M Gacad, L Nguyen, M Hewison and J S Adams Division of Endocrinology, Diabetes and Metabolism, Burns and Allen Research Institute, Cedars-Sinai Medical Center, Room D-3088, 8700 Beverly Boulevard, Los Angeles, California 90048, USA (Requests for offprints should be addressed to M Hewison; Email: [email protected]) Abstract The constitutively expressed member of the heat shock protein-70 family (hsc70) is a chaperone with multiple functions in cellular homeostasis. Previously, we demonstrated the ability of hsc70 to bind 25-hydroxyvitamin D3 (25-OHD3) and 1,25- dihydroxyvitamin D3 (1,25(OH)2D3). Hsc70 also recruits and interacts with the co-chaperone Bcl2-associated athanogene (BAG)-1 via the ATP-binding domain that resides on hsc70. Competitive ligand-binding assays showed that, like hsc70, recombinant BAG-1 is able to bind 25-OHD3 (KdZ0.71G0.25 nM, BmaxZ69.9G16.1 fmoles/mg protein) and 1,25(OH)2D3 (KdZ0.16G0.07 nM, BmaxZ38.1G3.5 fmoles/mg protein; both nZ3 separate binding assays, P!0.001 for Kd and Bmax). To investigate the functional significance of this, we transiently overexpressed the S, M, and L variants of BAG-1 into human kidney HKC-8 cells stably transfected with a 1,25(OH)2D3-responsive 24-hydroxylase (CYP24) promoter–reporter construct. As HKC-8 cells also express the enzyme 1a-hydroxylase, both 25-OHD3 (200 nM) and 1,25(OH)2D3 (5 nM) were able to induce CYP24 promoter activity. -
Loss of Postnatal Quiescence of Neural Stem Cells Through Mtor Activation Upon Genetic Removal of Cysteine String Protein-Α
Loss of postnatal quiescence of neural stem cells through mTOR activation upon genetic removal of cysteine string protein-α Jose L. Nieto-Gonzáleza,b,c,1,2, Leonardo Gómez-Sáncheza,b,c,1, Fabiola Mavillarda,b,c, Pedro Linares-Clementea,b,c, María C. Riveroa,b,c, Marina Valenzuela-Villatoroa,b,c, José L. Muñoz-Bravoa,b,c, Ricardo Pardala,b,c, and Rafael Fernández-Chacóna,b,c,2 aInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/Consejo Superior de Investigaciones Científicas/Universidad de Sevilla, 41013 Sevilla, Spain; bDepartamento de Fisiología Médica y Biofísica, Universidad de Sevilla, 41009 Sevilla, Spain; and cCentro Investigación Biomédica en Red Enfermedades Neurodegenerativas, 41013 Sevilla, Spain Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved March 4, 2019 (received for review October 9, 2018) Neural stem cells continuously generate newborn neurons that protein-A (SGTA) (13). Interestingly, CSP-α is required to maintain integrate into and modify neural circuitry in the adult hippocam- the stability of the SNARE protein SNAP25 at synaptic termi- pus. The molecular mechanisms that regulate or perturb neural nals (14–16). SNAP25 cannot maintain its function without a stem cell proliferation and differentiation, however, remain poorly chaperone, which is probably due to the molecular stress induced understood. Here, we have found that mouse hippocampal radial during cycles of assembly and disassembly of the SNARE com- glia-like (RGL) neural stem cells express the synaptic cochaperone plex (15, 17). Remarkably, knockout (KO) mice lacking CSP-α cysteine string protein-α (CSP-α). Remarkably, in CSP-α knockout suffer from a devastating and early synaptic degeneration (18) mice, RGL stem cells lose quiescence postnatally and enter into a that is particularly evident in highly active neurons (19). -
Small Glutamine-Rich Tetratricopeptide Repeat
www.nature.com/scientificreports OPEN Small Glutamine-Rich Tetratricopeptide Repeat- Containing Protein Alpha (SGTA) Received: 04 January 2016 Accepted: 07 June 2016 Ablation Limits Offspring Viability Published: 30 June 2016 and Growth in Mice Lisa K. Philp1, Tanya K. Day1, Miriam S. Butler1, Geraldine Laven-Law1, Shalini Jindal1, Theresa E. Hickey1, Howard I. Scher2, Lisa M. Butler1,3,* & Wayne D. Tilley1,3,* Small glutamine-rich tetratricopeptide repeat-containing protein α (SGTA) has been implicated as a co-chaperone and regulator of androgen and growth hormone receptor (AR, GHR) signalling. We investigated the functional consequences of partial and full Sgta ablation in vivo using Cre-lox Sgta- null mice. Sgta+/− breeders generated viable Sgta−/− offspring, but at less than Mendelian expectancy. Sgta−/− breeders were subfertile with small litters and higher neonatal death (P < 0.02). Body size was significantly and proportionately smaller in male and femaleSgta −/− (vs WT, Sgta+/− P < 0.001) from d19. Serum IGF-1 levels were genotype- and sex-dependent. Food intake, muscle and bone mass and adiposity were unchanged in Sgta−/−. Vital and sex organs had normal relative weight, morphology and histology, although certain androgen-sensitive measures such as penis and preputial size, and testis descent, were greater in Sgta−/−. Expression of AR and its targets remained largely unchanged, although AR localisation was genotype- and tissue-dependent. Generally expression of other TPR- containing proteins was unchanged. In conclusion, this thorough investigation of SGTA-null mutation reports a mild phenotype of reduced body size. The model’s full potential likely will be realised by genetic crosses with other models to interrogate the role of SGTA in the many diseases in which it has been implicated. -
The Apoptosis Database
Cell Death and Differentiation (2003) 10, 621–633 & 2003 Nature Publishing Group All rights reserved 1350-9047/03 $25.00 www.nature.com/cdd Review The apoptosis database KS Doctor1, JC Reed1, A Godzik1 and PE Bourne*,1,2 Introduction 1 The Burnham Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, The set of known proteins that directly regulate apoptosis has USA 2 San Diego Supercomputer Center, University of California San Diego, 9500 grown rapidly over the last 15 years. This growth will continue Gilman Drive, La Jolla, CA 92093-0505, USA until all the proteins directly involved in the cell death signaling * Corresponding author: PE Bourne, Tel: 858-534-8301; Fax: 858-822-0873, process are known. This assortment of proteins with wide E-mail: [email protected] ranging biochemical functions is linked together conceptually in the minds of apoptosis researchers. Assembling an up-to- Received 10.9.02; revised 3.12.02; accepted 10.12.02 date view of this conceptual collection of proteins within the Edited by Dr Green context of apoptosis requires a considerable effort, or more specifically, complete immersion into the field. One principal Abstract goal of an apoptosis review article is to assemble such a collection of protein annotations as an educational and The apoptosis database is a public resource for researchers research resource. The apoptosis database described here and students interested in the molecular biology of apoptosis. is designed to fulfil the same goal, but to immediately allow the The resource provides functional annotation, literature user to dig deeper using local and remote information and to references, diagrams/images, and alternative nomenclatures always remain current with respect to the proteins known to be on a set of proteins having ‘apoptotic domains’. -
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.