Control and Regulation of the Cell Cycle in Eukaryotic Cells
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Systematic Screening for Potential Therapeutic Targets in Osteosarcoma Through a Kinome-Wide CRISPR-Cas9 Library
Cancer Biol Med 2020. doi: 10.20892/j.issn.2095-3941.2020.0162 ORIGINAL ARTICLE Systematic screening for potential therapeutic targets in osteosarcoma through a kinome-wide CRISPR-Cas9 library Yuanzhong Wu*, Liwen Zhou*, Zifeng Wang, Xin Wang, Ruhua Zhang, Lisi Zheng, Tiebang Kang Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China ABSTRACT Objective: Osteosarcoma is the most common primary malignant bone tumor. However, the survival of patients with osteosarcoma has remained unchanged during the past 30 years, owing to a lack of efficient therapeutic targets. Methods: We constructed a kinome-targeting CRISPR-Cas9 library containing 507 kinases and 100 nontargeting controls and screened the potential kinase targets in osteosarcoma. The CRISPR screening sequencing data were analyzed with the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) Python package. The functional data were applied in the 143B cell line through lenti-CRISPR-mediated gene knockout. The clinical significance of kinases in the survival of patients with osteosarcoma was analyzed in the R2: Genomics Analysis and Visualization Platform. Results: We identified 53 potential kinase targets in osteosarcoma. Among these targets, we analyzed 3 kinases, TRRAP, PKMYT1, and TP53RK, to validate their oncogenic functions in osteosarcoma. PKMYT1 and TP53RK showed higher expression in osteosarcoma than in normal bone tissue, whereas TRRAP showed no significant difference. High expression of all 3 kinases was associated with relatively poor prognosis in patients with osteosarcoma. Conclusions: Our results not only offer potential therapeutic kinase targets in osteosarcoma but also provide a paradigm for functional genetic screening by using a CRISPR-Cas9 library, including target design, library construction, screening workflow, data analysis, and functional validation. -
The Role of the Mtor Pathway in Developmental Reprogramming Of
THE ROLE OF THE MTOR PATHWAY IN DEVELOPMENTAL REPROGRAMMING OF HEPATIC LIPID METABOLISM AND THE HEPATIC TRANSCRIPTOME AFTER EXPOSURE TO 2,2',4,4'- TETRABROMODIPHENYL ETHER (BDE-47) An Honors Thesis Presented By JOSEPH PAUL MCGAUNN Approved as to style and content by: ________________________________________________________** Alexander Suvorov 05/18/20 10:40 ** Chair ________________________________________________________** Laura V Danai 05/18/20 10:51 ** Committee Member ________________________________________________________** Scott C Garman 05/18/20 10:57 ** Honors Program Director ABSTRACT An emerging hypothesis links the epidemic of metabolic diseases, such as non-alcoholic fatty liver disease (NAFLD) and diabetes with chemical exposures during development. Evidence from our lab and others suggests that developmental exposure to environmentally prevalent flame-retardant BDE47 may permanently reprogram hepatic lipid metabolism, resulting in an NAFLD-like phenotype. Additionally, we have demonstrated that BDE-47 alters the activity of both mTOR complexes (mTORC1 and 2) in hepatocytes. The mTOR pathway integrates environmental information from different signaling pathways, and regulates key cellular functions such as lipid metabolism, innate immunity, and ribosome biogenesis. Thus, we hypothesized that the developmental effects of BDE-47 on liver lipid metabolism are mTOR-dependent. To assess this, we generated mice with liver-specific deletions of mTORC1 or mTORC2 and exposed these mice and their respective controls perinatally to -
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. -
Supplementary Information Material and Methods
MCT-11-0474 BKM120: a potent and specific pan-PI3K inhibitor Supplementary Information Material and methods Chemicals The EGFR inhibitor NVP-AEE788 (Novartis), the Jak inhibitor I (Merck Calbiochem, #420099) and anisomycin (Alomone labs, # A-520) were prepared as 50 mM stock solutions in 100% DMSO. Doxorubicin (Adriablastin, Pfizer), EGF (Sigma Ref: E9644), PDGF (Sigma, Ref: P4306) and IL-4 (Sigma, Ref: I-4269) stock solutions were prepared as recommended by the manufacturer. For in vivo administration: Temodal (20 mg Temozolomide capsules, Essex Chemie AG, Luzern) was dissolved in 4 mL KZI/glucose (20/80, vol/vol); Taxotere was bought as 40 mg/mL solution (Sanofi Aventis, France), and prepared in KZI/glucose. Antibodies The primary antibodies used were as follows: anti-S473P-Akt (#9271), anti-T308P-Akt (#9276,), anti-S9P-GSK3β (#9336), anti-T389P-p70S6K (#9205), anti-YP/TP-Erk1/2 (#9101), anti-YP/TP-p38 (#9215), anti-YP/TP-JNK1/2 (#9101), anti-Y751P-PDGFR (#3161), anti- p21Cip1/Waf1 (#2946), anti-p27Kip1 (#2552) and anti-Ser15-p53 (#9284) antibodies were from Cell Signaling Technologies; anti-Akt (#05-591), anti-T32P-FKHRL1 (#06-952) and anti- PDGFR (#06-495) antibodies were from Upstate; anti-IGF-1R (#SC-713) and anti-EGFR (#SC-03) antibodies were from Santa Cruz; anti-GSK3α/β (#44610), anti-Y641P-Stat6 (#611566), anti-S1981P-ATM (#200-301), anti-T2609 DNA-PKcs (#GTX24194) and anti- 1 MCT-11-0474 BKM120: a potent and specific pan-PI3K inhibitor Y1316P-IGF-1R were from Bio-Source International, Becton-Dickinson, Rockland, GenTex and internal production, respectively. The 4G10 antibody was from Millipore (#05-321MG). -
N-Glycan Trimming in the ER and Calnexin/Calreticulin Cycle
Neurotransmitter receptorsGABA and A postsynapticreceptor activation signal transmission Ligand-gated ion channel transport GABAGABA Areceptor receptor alpha-5 alpha-1/beta-1/gamma-2 subunit GABA A receptor alpha-2/beta-2/gamma-2GABA receptor alpha-4 subunit GABAGABA receptor A receptor beta-3 subunitalpha-6/beta-2/gamma-2 GABA-AGABA receptor; A receptor alpha-1/beta-2/gamma-2GABA receptoralpha-3/beta-2/gamma-2 alpha-3 subunit GABA-A GABAreceptor; receptor benzodiazepine alpha-6 subunit site GABA-AGABA-A receptor; receptor; GABA-A anion site channel (alpha1/beta2 interface) GABA-A receptor;GABA alpha-6/beta-3/gamma-2 receptor beta-2 subunit GABAGABA receptorGABA-A receptor alpha-2receptor; alpha-1 subunit agonist subunit GABA site Serotonin 3a (5-HT3a) receptor GABA receptorGABA-C rho-1 subunitreceptor GlycineSerotonin receptor subunit3 (5-HT3) alpha-1 receptor GABA receptor rho-2 subunit GlycineGlycine receptor receptor subunit subunit alpha-2 alpha-3 Ca2+ activated K+ channels Metabolism of ingested SeMet, Sec, MeSec into H2Se SmallIntermediateSmall conductance conductance conductance calcium-activated calcium-activated calcium-activated potassium potassium potassiumchannel channel protein channel protein 2 protein 1 4 Small conductance calcium-activatedCalcium-activated potassium potassium channel alpha/beta channel 1 protein 3 Calcium-activated potassiumHistamine channel subunit alpha-1 N-methyltransferase Neuraminidase Pyrimidine biosynthesis Nicotinamide N-methyltransferase Adenosylhomocysteinase PolymerasePolymeraseHistidine basic -
YAP and TAZ Mediators at the Crossroad Between Metabolic and Cellular Reprogramming
H OH metabolites OH Review YAP and TAZ Mediators at the Crossroad between Metabolic and Cellular Reprogramming Giorgia Di Benedetto, Silvia Parisi , Tommaso Russo and Fabiana Passaro * Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 40, 80138 Napoli, Italy; [email protected] (G.D.B.); [email protected] (S.P.); [email protected] (T.R.) * Correspondence: [email protected] Abstract: Cell reprogramming can either refer to a direct conversion of a specialized cell into another or to a reversal of a somatic cell into an induced pluripotent stem cell (iPSC). It implies a peculiar modification of the epigenetic asset and gene regulatory networks needed for a new cell, to better fit the new phenotype of the incoming cell type. Cellular reprogramming also implies a metabolic rearrangement, similar to that observed upon tumorigenesis, with a transition from oxidative phosphorylation to aerobic glycolysis. The induction of a reprogramming process requires a nexus of signaling pathways, mixing a range of local and systemic information, and accumulating evidence points to the crucial role exerted by the Hippo pathway components Yes-Associated Protein (YAP) and Transcriptional Co-activator with PDZ-binding Motif (TAZ). In this review, we will first provide a synopsis of the Hippo pathway and its function during reprogramming and tissue regeneration, then we introduce the latest knowledge on the interplay between YAP/TAZ Citation: Di Benedetto, G.; Parisi, S.; and metabolism and, finally, we discuss the possible role of YAP/TAZ in the orchestration of the Russo, T.; Passaro, F. YAP and TAZ metabolic switch upon cellular reprogramming. -
Poster Authors: Martin Lee Miller, Søren Brunak, Lars Juhl Jensen, Michael B
A Sequence-Specificity Atlas of the Kinase World CK1 family NEK2 Negative Atypical S TGFbR2 S D F T EIF2AK2 YS SY A EE S F EDDETDG S DTTYGA 0 1 2 3 4 5 6 7 -7 -6 -5 -4 -3 -2 -1 L I M S TR FWMW VS W G LT Y H T 0 1 2 3 4 5 6 7 -7 -6 -5 -4 -3 -2 -1 E S R CK1gamma3 CK1gamma1 CK1gamma2 R K T TS DE CK1epsilon S CK1alpha2 NND QRN S KKS M CQ CK1alpha 0 1 2 3 4 5 6 7 O -6 -5 -4 -3 -2 -1 T CK1delta -7 V D KRT R D E RL D R SEL T PTTS LD T S S L S SK LM PLP LS E E P A E K RG LDLF Y G V N G GR L I A T LV VAY TT TTBK2 KR I T RVFS I RE KA TDD RS KQ KM D EE G G BUBR1 TTBK1 VRK2 VRK1 N RE P D SgK396 VRK3 MPKRT F NFNMGPM SgK196 P I GMVHG KYL I MEL SgK493 Positive 0 SgK110 Haspin S BUB1 -7 -6 -5 -4 -3 -2 -1 SgK069 +3 +4 +5 +6 +7 +1 +2 SgK223 SgK269 Wnk2 Wnk4 Wnk3 NRBP1 ATM/ATR NRBP2 Wnk1 SCYL2 SCYL1 SCYL3 PIK3R4 Slob SgK424 SgK307 PINK1 SBK SgK496 MOS TBCK PBK CYGF CDC7 CYGD HSER NEK1 ANPb Proline NEK5 ANPa ILK NEK3 BMPR2 NEK11NEK4 MISR2 TGFbR2 ACTR2 NEK2 ACTR2B ALK2 NEK9 ALK1 NEK8 BMPR1B NEK6 BMPR1A NEK10NEK7 ALK7 TGFbR1 ALK4 AAK1 MLKL IRAK4 S S MPSK1 BIKE IRAK2 E Q EIF2AK2 S D G S E IRAK1 ES A S PS I SS GAK TQL PL SQ DL Syk family S VP Tec family P D E IRAK3 EphB3 L T GCN2 1 TESK2 0 PEK TESK1 -7 -6 -5 -4 -3 -2 -1 S +1 +2 +3 +4 +5 +6 +7 Q LIMK1 Wee1B LIMK2 mTOR LRRK2 HRI LRRK1 Wee1 RIPK1 MYT1 RIPK3 RNAseL RIPK2 IRE1 ANKRD3 IRE2 SgK288 KSR2 SgK071 KSR1 D E V L P KIS ARAF EV P S D R TTK E D D R VE AD VS A EE D DG V SSDDE EY NP R BRAF D V L E M ATPVD CLIK1LCLIK1 S EES E YE L LEE QLT EN PD E A L D T I SP NQ DG ANSS D DEE S DLL MS G PS P K A SD TEN T NGLKND -
Regulation of Skeletal Muscle Metabolism and Development by Small, Non-Coding Rnas: Implications for Insulin Resistance and Type 2 Diabetes Mellitus
From the Department of Molecular Medicine and Surgery Karolinska Institutet, Stockholm, Sweden Regulation of Skeletal Muscle Metabolism and Development by Small, Non-Coding RNAs: Implications for Insulin Resistance and Type 2 Diabetes Mellitus Rasmus Sjögren Stockholm 2018 All previously published papers were reproduced with permission from the publisher. © 2017 by the American Diabetes Association ® Diabetes 2017 Jul; 66(7): 1807-1818 Reprinted with permission from the American Diabetes Association ® Published by Karolinska Institutet. Printed by Eprint AB, 2018. © Rasmus Sjögren, 2018. ISBN 978-91-7831-057-9 Department of Molecular Medicine and Surgery Regulation of Skeletal Muscle Metabolism and Development by Small, Non-Coding RNAs: Implications for Insulin Resistance and Type 2 Diabetes Mellitus THESIS FOR DOCTORAL DEGREE (Ph.D.) by Rasmus Sjögren Defended on: Wednesday the 13th of June 2018, 12:30 pm Hillarpsalen, Retzius väg 8, Stockholm Principal Supervisor: Opponent: Prof Juleen R. Zierath Prof Markus Stoffel Karolinska Institutet Swiss Federal Institute of Technology in Zurich Department of Molecular Medicine and Surgery Department of Biology Division of Integrative Physiology Division of Metabolism and Metabolic Diseases Co-supervisor(s): Examination Board: Prof Anna Krook Prof Ulf Eriksson Karolinska Institutet Karolinska Insitutet Department of Physiology and Pharmacology Department of Medical Biochemistry and Bio- Division of Integrative Physiology physics Division of Vascular Biology Prof Eckardt Treuter Karolinska Insitutet Department of Biosciences and Nutrition Division of Epigenome Regulation Prof Lena Eliasson Lund University Department of Clinical Sciences, Malmö Division of Islet Cell Exocytosis ABSTRACT microRNAs (miRNAs) are a class of epigenetic post-transcriptional regulators. These short (~22 nucleotides) non-coding RNAs can potently reduce protein abundance through direction of the RNA-induced silencing complex to targeted genes. -
IGF2BP1 Is a Targetable SRC/MAPK-Dependent Driver Of
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.19.159905; this version posted June 20, 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-NC-ND 4.0 International license. 1 IGF2BP1 is a targetable SRC/MAPK-dependent driver of invasive growth in ovarian 2 cancer 3 4 Authors: Nadine Bley1*$#, Annekatrin Schott1*, Simon Müller1, Danny Misiak1, Marcell 5 Lederer1, Tommy Fuchs1, Chris Aßmann1, Markus Glaß1, Christian Ihling2, Andrea Sinz2, 6 Nikolaos Pazaitis3, Claudia Wickenhauser3, Martina Vetter4, Olga Ungurs4, Hans-Georg 7 Strauss4, Christoph Thomssen4, Stefan Hüttelmaier1$. 8 9 10 Addresses: 11 1 Sect. Molecular Cell Biology, Inst. of Molecular Medicine, Charles Tanford Protein Center, 12 Medical Faculty, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Str. 3A, 06120 Halle, 13 Germany 14 2 Dept. of Pharmaceutical Chemistry & Bioanalytics, Inst. of Pharmacy, Charles Tanford 15 Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes Str. 3A, 06120 Halle, 16 Germany 17 3 Inst. of Pathology, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger 18 Str. 14, 06112 Halle, Germany 19 4 Clinics for Gynecology, Medical Faculty, Martin Luther University Halle-Wittenberg, Ernst- 20 Grube-Str. 40, 06120 Halle, Germany 21 22 23 * These authors contributed equally to this work 24 $ shared corresponding authorship 25 # Correspondence: should be addressed to Nadine Bley 26 Running title: IGF2BP1-directed AJ disassembly depends on SRC activation 27 Disclosure of Potential Conflicts of Interests: the authors declare no conflicts of interest. -
Article Reference
Article Phosphorylation by NLK inhibits YAP‐14‐3‐3‐interactions and induces its nuclear localization MOON, Sungho, et al. Reference MOON, Sungho, et al. Phosphorylation by NLK inhibits YAP‐14‐3‐3‐interactions and induces its nuclear localization. EMBO Reports, 2017, vol. 18, no. 1, p. 61-71 PMID : 27979972 DOI : 10.15252/embr.201642683 Available at: http://archive-ouverte.unige.ch/unige:112477 Disclaimer: layout of this document may differ from the published version. 1 / 1 Published online: December 15, 2016 Scientific Report Phosphorylation by NLK inhibits YAP-14-3-3- interactions and induces its nuclear localization Sungho Moon1,† , Wantae Kim1,†, Soyoung Kim1, Youngeun Kim1, Yonghee Song1, Oleksii Bilousov2, Jiyoung Kim1, Taebok Lee1, Boksik Cha1, Minseong Kim1, Hanjun Kim1, Vladimir L Katanaev2,3,* & Eek-hoon Jho1,** Abstract tissue homeostasis have become a long-standing topic of interest. As loss of the organ size control is linked to many human diseases, includ- Hippo signaling controls organ size by regulating cell proliferation ing cancer and degenerative diseases, regulation of the organ size and apoptosis. Yes-associated protein (YAP) is a key downstream could be an attractive therapeutic strategy. Recently, Hippo signaling effector of Hippo signaling, and LATS-mediated phosphorylation of has been identified as a major signaling pathway to control the organ YAP at Ser127 inhibits its nuclear localization and transcriptional size; dysregulation of this pathway results in aberrant growth [1]. activity. Here, we report that Nemo-like kinase (NLK) phosphory- The Hippo pathway is evolutionarily conserved from nematodes lates YAP at Ser128 both in vitro and in vivo, which blocks interac- to humans and controls a variety of cellular processes, such as cell tion with 14-3-3 and enhances its nuclear localization. -
Autophagy Processes Are Dependent on EGF Receptor Signaling
www.oncotarget.com Oncotarget, 2018, Vol. 9, (No. 54), pp: 30289-30303 Research Paper Autophagy processes are dependent on EGF receptor signaling Vincenzo De Iuliis1, Antonio Marino1, Marika Caruso1, Sabrina Capodifoglio1, Vincenzo Flati2, Anna Marynuk3, Valeria Marricareda3, Sebastiano Ursi1, Paola Lanuti4, Claudio Talora5, Pio Conti6, Stefano Martinotti1,7 and Elena Toniato7 1Unit of Predictive Medicine, SS Annunziata University Hospital of Chieti, Chieti, Italy 2Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy 3Odessa National Medical University, Odesa, Odessa Oblsat, Ucraina 4Department of Medicine and Aging Sciences, University G. d’Annunzio of Chieti, Chieti, Italy 5Department of Molecular Medicine, University of Rome “La Sapienza”, Rome, Italy 6Postgraduate Medical School, University of Chieti, Chieti, Italy 7Department of Medical, Oral and Biotechnological Sciences, University G. d’Annunzio of Chieti, Chieti, Italy Correspondence to: Elena Toniato, email: [email protected] Keywords: apoptosis; autophagy; Beclin 1; EGF receptor; MAPK pathway Received: May 03, 2018 Accepted: June 13, 2018 Published: July 13, 2018 Copyright: De Iuliis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Autophagy is a not well-understood conserved mechanism activated during nutritional deprivation in order to maintain cellular homeostasis. In the present study, we investigated the correlations between autophagy, apoptosis and the MAPK pathways in melanoma cell lines. We demonstrated that during starvation the EGF receptor mediated signaling activates many proteins involved in the MAPK pathway. -
Table S1. Identified Proteins with Exclusive Expression in Cerebellum of Rats of Control, 10Mg F/L and 50Mg F/L Groups
Table S1. Identified proteins with exclusive expression in cerebellum of rats of control, 10mg F/L and 50mg F/L groups. Accession PLGS Protein Name Group IDa Score Q3TXS7 26S proteasome non-ATPase regulatory subunit 1 435 Control Q9CQX8 28S ribosomal protein S36_ mitochondrial 197 Control P52760 2-iminobutanoate/2-iminopropanoate deaminase 315 Control Q60597 2-oxoglutarate dehydrogenase_ mitochondrial 67 Control P24815 3 beta-hydroxysteroid dehydrogenase/Delta 5-->4-isomerase type 1 84 Control Q99L13 3-hydroxyisobutyrate dehydrogenase_ mitochondrial 114 Control P61922 4-aminobutyrate aminotransferase_ mitochondrial 470 Control P10852 4F2 cell-surface antigen heavy chain 220 Control Q8K010 5-oxoprolinase 197 Control P47955 60S acidic ribosomal protein P1 190 Control P70266 6-phosphofructo-2-kinase/fructose-2_6-bisphosphatase 1 113 Control Q8QZT1 Acetyl-CoA acetyltransferase_ mitochondrial 402 Control Q9R0Y5 Adenylate kinase isoenzyme 1 623 Control Q80TS3 Adhesion G protein-coupled receptor L3 59 Control B7ZCC9 Adhesion G-protein coupled receptor G4 139 Control Q6P5E6 ADP-ribosylation factor-binding protein GGA2 45 Control E9Q394 A-kinase anchor protein 13 60 Control Q80Y20 Alkylated DNA repair protein alkB homolog 8 111 Control P07758 Alpha-1-antitrypsin 1-1 78 Control P22599 Alpha-1-antitrypsin 1-2 78 Control Q00896 Alpha-1-antitrypsin 1-3 78 Control Q00897 Alpha-1-antitrypsin 1-4 78 Control P57780 Alpha-actinin-4 58 Control Q9QYC0 Alpha-adducin 270 Control Q9DB05 Alpha-soluble NSF attachment protein 156 Control Q6PAM1 Alpha-taxilin 161