Tracing Paks from GI Inflammation to Cancer
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Role of P21-Activated Protein Kinase 1 in Metabolic Homeostasis
THE ROLE OF P21-ACTIVATED PROTEIN KINASE 1 IN METABOLIC HOMEOSTASIS by YU-TING CHIANG A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Physiology University of Toronto © Copyright by Yu-ting Chiang 2014 The Role of P21-Activated Protein Kinase 1 in Metabolic Homeostasis Yu-ting Chiang Doctor of Philosophy Department of Physiology University of Toronto 2014 Abstract Our laboratory has demonstrated previously that the proglucagon gene (gcg), which encodes the incretin hormone GLP-1, is among the downstream targets of the Wnt signaling pathway; and that Pak1 mediates the stimulatory effect of insulin on Wnt target gene expression in mouse gut non- endocrine cells. Here, I asked whether Pak1 controls gut gcg expression and GLP-1 production, and whether Pak1 deletion leads to impaired metabolic homeostasis in mice. I detected the expression of Pak1 and two other group I Paks in the gut endocrine L cell line GLUTag, and co- localized Pak1 and GLP-1 in the mouse gut. Insulin was shown to stimulate Pak1 Thr423 and β-cat Ser675 phosphorylation. The stimulation of insulin on β-cat Ser675 phosphorylation, gcg promoter activity and gcg mRNA expression could be attenuated by the Pak inhibitor IPA3. Male Pak1-/- mice showed significant reduction in both gut and brain gcg expression levels, and attenuated elevation of plasma GLP-1 levels in response to oral glucose challenge. Notably, the Pak1-/- mice were intolerant to both intraperitoneal and oral glucose administration. Aged Pak1-/- mice showed a severe defect in response to intraperitoneal pyruvate challenge (IPPTT). -
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. -
Screening Differentially Expressed Genes of Pancreatic Cancer Between Mongolian and Han People Using Bioinformatics Technology
Screening differentially expressed genes of pancreatic cancer between Mongolian and Han people using bioinformatics technology Jiasheng Xu First Aliated Hospital of Nanchang University Kaili Liao Second Aliated Hospital of Nanchang University ZHONGHUA FU First Aliated Hospital of Nanchang University ZHENFANG XIONG ( [email protected] ) The First Aliated Hospital of Nanchang University https://orcid.org/0000-0003-2062-9204 Research article Keywords: Pancreatic ductal cell carcinoma; Affymetrix gene expression prole; Gene differential expression; GO analysis; Pathway analysis; Mongolian Posted Date: October 14th, 2019 DOI: https://doi.org/10.21203/rs.2.11118/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at BMC Cancer on April 9th, 2020. See the published version at https://doi.org/10.1186/s12885-020-06722-7. Page 1/19 Abstract Objective: To screen and analyze differentially expressed genes in pancreatic carcinoma tissues taken from Mongolian and Han patients by Affymetrix Genechip. Methods: Pancreatic ductal cell carcinoma tissues were collected from the Mongolian and Han patients undergoing resection in the Second Aliated Hospital of Nanchang University from March 2015 to May 2018 and the total RNA was extracted. Differentially expressed genes were selected from the total RNA qualied by Nanodrop 2000 and Agilent 2100 using Affymetrix and a cartogram was drawn; The gene ontology (GO) analysis and Pathway analysis were used for the collection and analysis of biological information of these differentially expressed genes. Finally, some differentially expressed genes were veried by real-time PCR. Results: Through the microarray analysis of gene expression, 970 differentially expressed genes were detected by comparing pancreatic cancer tissue samples between Mongolian and Han patients. -
An in Cellulo-Derived Structure of PAK4 in Complex with Its Inhibitor Inka1
ARTICLE Received 27 May 2015 | Accepted 21 Sep 2015 | Published 26 Nov 2015 DOI: 10.1038/ncomms9681 OPEN An in cellulo-derived structure of PAK4 in complex with its inhibitor Inka1 Yohendran Baskaran1,*, Khay C. Ang1,2,*, Praju V. Anekal1, Wee L. Chan1, Jonathan M. Grimes3,4, Ed Manser1,5,6 & Robert C. Robinson1,2 PAK4 is a metazoan-specific kinase acting downstream of Cdc42. Here we describe the structure of human PAK4 in complex with Inka1, a potent endogenous kinase inhibitor. Using single mammalian cells containing crystals 50 mm in length, we have determined the in cellulo crystal structure at 2.95 Å resolution, which reveals the details of how the PAK4 catalytic domain binds cellular ATP and the Inka1 inhibitor. The crystal lattice consists only of PAK4– PAK4 contacts, which form a hexagonal array with channels of 80 Å in diameter that run the length of the crystal. The crystal accommodates a variety of other proteins when fused to the kinase inhibitor. Inka1–GFP was used to monitor the process crystal formation in living cells. Similar derivatives of Inka1 will allow us to study the effects of PAK4 inhibition in cells and model organisms, to allow better validation of therapeutic agents targeting PAK4. 1 Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Biopolis, Proteos Building, 61 Biopolis Drive, 8-15, Singapore 138673, Singapore. 2 Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore. 3 Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK. -
Viewer 4.0 Software [73]
BMC Genomics BioMed Central Research Open Access Bioinformatic search of plant microtubule-and cell cycle related serine-threonine protein kinases Pavel A Karpov1, Elena S Nadezhdina2,3,AllaIYemets1, Vadym G Matusov1, Alexey Yu Nyporko1,NadezhdaYuShashina3 and Yaroslav B Blume*1 Addresses: 1Institute of Food Biotechnology and Genomics, National Academy of Sciences of Ukraine, 04123 Kyiv, Ukraine, 2Institute of Protein Research, Russian Academy of Sciences, 142290 Pushchino, Moscow Region, Russian Federation and 3AN Belozersky Institute of Physical- Chemical Biology, Moscow State University, Leninsky Gory, 119992 Moscow, Russian Federation E-mail: Pavel A Karpov - [email protected]; Elena S Nadezhdina - [email protected]; Alla I Yemets - [email protected]; Vadym G Matusov - [email protected]; Alexey Yu Nyporko - [email protected]; Nadezhda Yu Shashina - [email protected]; Yaroslav B Blume* - [email protected] *Corresponding author from International Workshop on Computational Systems Biology Approaches to Analysis of Genome Complexity and Regulatory Gene Networks Singapore 20-25 November 2008 Published: 10 February 2010 BMC Genomics 2010, 11(Suppl 1):S14 doi: 10.1186/1471-2164-11-S1-S14 This article is available from: http://www.biomedcentral.com/1471-2164/11/S1/S14 Publication of this supplement was made possible with help from the Bioinformatics Agency for Science, Technology and Research of Singapore and the Institute for Mathematical Sciences at the National University of Singapore. © 2010 Karpov et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Phospho-PAK4 (Ser474)/PAK5 (Ser602)/PAK6 (Ser560) Antibody Detects Endogenous 12
Revision 1 C 0 2 - t Phospho-PAK4 (Ser474)/PAK5 a e r o t (Ser602)/PAK6 (Ser560) Antibody S Orders: 877-616-CELL (2355) [email protected] Support: 877-678-TECH (8324) 1 4 Web: [email protected] 2 www.cellsignal.com 3 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source: UniProt ID: Entrez-Gene Id: WB H M GP Endogenous 72 (PAK4). 82 Rabbit Q9NQU5, Q9P286, O96013 56924, 57144, 10298 (PAK6). 90 (PAK5). p y g y p y Product Usage Information pivotal role in regulating the activity and function of PAK4 (10). PAK family members are widely expressed, and often overexpressed in human cancer (11,12). Application Dilution 1. Knaus, U.G. and Bokoch, G.M. (1998) Int. J. Biochem. Cell Biol. 30, 857-62. 2. Daniels, R.H. et al. (1998) EMBO J. 17, 754-64. Western Blotting 1:1000 3. King, C.C. et al. (2000) J. Biol. Chem. 275, 41201-9. 4. Manser, E. et al. (1997) Mol. Cell. Biol. 17, 1129-43. Storage 5. Gatti, A. et al. (1999) J. Biol. Chem. 274, 8022-8. 6. Lei, M. et al. (2000) Cell 102, 387-97. Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA and 50% 7. Chong, C. et al. (2001) J. Biol. Chem. 276, 17347-53. glycerol. Store at –20°C. Do not aliquot the antibody. 8. Zhao, Z. et al. (2000) Mol. Cell. Biol. 20, 3906-17. 9. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Screening of Potential Genes and Transcription Factors Of
ANIMAL STUDY e-ISSN 1643-3750 © Med Sci Monit, 2018; 24: 503-510 DOI: 10.12659/MSM.907445 Received: 2017.10.08 Accepted: 2018.01.01 Screening of Potential Genes and Transcription Published: 2018.01.25 Factors of Postoperative Cognitive Dysfunction via Bioinformatics Methods Authors’ Contribution: ABE 1 Yafeng Wang 1 Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical Study Design A AB 1 Ailan Huang University, Nanning, Guangxi, P.R. China Data Collection B 2 Department of Gynecology, People’s Hospital of Guangxi Zhuang Autonomous Statistical Analysis C BEF 1 Lixia Gan Region, The First Affiliated Hospital of Guangxi Medical University, Nanning, Data Interpretation D BCF 1 Yanli Bao Guangxi, P.R. China Manuscript Preparation E BDF 1 Weilin Zhu 3 Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical Literature Search F University, Nanning, Guangxi, P.R. China Funds Collection G EF 1 Yanyan Hu AE 1 Li Ma CF 2 Shiyang Wei DE 3 Yuyan Lan Corresponding Author: Yafeng Wang, e-mail: [email protected] Source of support: Departmental sources Background: The aim of this study was to explore the potential genes and transcription factors involved in postoperative cognitive dysfunction (POCD) via bioinformatics analysis. Material/Methods: GSE95070 miRNA expression profiles were downloaded from Gene Expression Omnibus database, which in- cluded five hippocampal tissues from POCD mice and controls. Moreover, the differentially expressed miRNAs (DEMs) between the two groups were identified. In addition, the target genes of DEMs were predicted using Targetscan 7.1, followed by protein-protein interaction (PPI) network construction, functional enrichment anal- ysis, pathway analysis, and prediction of transcription factors (TFs) targeting the potential targets. -
The Role of the Rho Gtpases in Neuronal Development
Downloaded from genesdev.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW The role of the Rho GTPases in neuronal development Eve-Ellen Govek,1,2, Sarah E. Newey,1 and Linda Van Aelst1,2,3 1Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, 11724, USA; 2Molecular and Cellular Biology Program, State University of New York at Stony Brook, Stony Brook, New York, 11794, USA Our brain serves as a center for cognitive function and and an inactive GDP-bound state. Their activity is de- neurons within the brain relay and store information termined by the ratio of GTP to GDP in the cell and can about our surroundings and experiences. Modulation of be influenced by a number of different regulatory mol- this complex neuronal circuitry allows us to process that ecules. Guanine nucleotide exchange factors (GEFs) ac- information and respond appropriately. Proper develop- tivate GTPases by enhancing the exchange of bound ment of neurons is therefore vital to the mental health of GDP for GTP (Schmidt and Hall 2002); GTPase activat- an individual, and perturbations in their signaling or ing proteins (GAPs) act as negative regulators of GTPases morphology are likely to result in cognitive impairment. by enhancing the intrinsic rate of GTP hydrolysis of a The development of a neuron requires a series of steps GTPase (Bernards 2003; Bernards and Settleman 2004); that begins with migration from its birth place and ini- and guanine nucleotide dissociation inhibitors (GDIs) tiation of process outgrowth, and ultimately leads to dif- prevent exchange of GDP for GTP and also inhibit the ferentiation and the formation of connections that allow intrinsic GTPase activity of GTP-bound GTPases (Zalc- it to communicate with appropriate targets. -
Transcriptome Analysis of Human Diabetic Kidney Disease
ORIGINAL ARTICLE Transcriptome Analysis of Human Diabetic Kidney Disease Karolina I. Woroniecka,1 Ae Seo Deok Park,1 Davoud Mohtat,2 David B. Thomas,3 James M. Pullman,4 and Katalin Susztak1,5 OBJECTIVE—Diabetic kidney disease (DKD) is the single cases, mild and then moderate mesangial expansion can be leading cause of kidney failure in the U.S., for which a cure has observed. In general, diabetic kidney disease (DKD) is not yet been found. The aim of our study was to provide an considered a nonimmune-mediated degenerative disease unbiased catalog of gene-expression changes in human diabetic of the glomerulus; however, it has long been noted that kidney biopsy samples. complement and immunoglobulins sometimes can be de- — tected in diseased glomeruli, although their role and sig- RESEARCH DESIGN AND METHODS Affymetrix expression fi arrays were used to identify differentially regulated transcripts in ni cance is not clear (4). 44 microdissected human kidney samples. The DKD samples were The understanding of DKD has been challenged by multi- significant for their racial diversity and decreased glomerular ple issues. First, the diagnosis of DKD usually is made using filtration rate (~20–30 mL/min). Stringent statistical analysis, using clinical criteria, and kidney biopsy often is not performed. the Benjamini-Hochberg corrected two-tailed t test, was used to According to current clinical practice, the development of identify differentially expressed transcripts in control and diseased albuminuria in patients with diabetes is sufficient to make the glomeruli and tubuli. Two different Web-based algorithms were fi diagnosis of DKD (5). We do not understand the correlation used to de ne differentially regulated pathways. -
Phosphorylation Sites in Protein Kinases and Phosphatases Regulated by Formyl Peptide Receptor 2 Signaling
International Journal of Molecular Sciences Review Phosphorylation Sites in Protein Kinases and Phosphatases Regulated by Formyl Peptide Receptor 2 Signaling Maria Carmela Annunziata 1, Melania Parisi 1, Gabriella Esposito 2 , Gabriella Fabbrocini 1, Rosario Ammendola 2 and Fabio Cattaneo 2,* 1 Department of Clinical Medicine and Surgery, School of Medicine, University of Naples Federico II, Via S. Pansini 5, 80131 Naples, Italy; [email protected] (M.C.A.); [email protected] (M.P.); [email protected] (G.F.) 2 Department of Molecular Medicine and Medical Biotechnology, School of Medicine,, University of Naples Federico II, Via S. Pansini 5, 80131 Naples, Italy; [email protected] (G.E.); [email protected] (R.A.) * Correspondence: [email protected]; Fax: +39-081-7464-359 Received: 5 May 2020; Accepted: 25 May 2020; Published: 27 May 2020 Abstract: FPR1, FPR2, and FPR3 are members of Formyl Peptides Receptors (FPRs) family belonging to the GPCR superfamily. FPR2 is a low affinity receptor for formyl peptides and it is considered the most promiscuous member of this family. Intracellular signaling cascades triggered by FPRs include the activation of different protein kinases and phosphatase, as well as tyrosine kinase receptors transactivation. Protein kinases and phosphatases act coordinately and any impairment of their activation or regulation represents one of the most common causes of several human diseases. Several phospho-sites has been identified in protein kinases and phosphatases, whose role may be to expand the repertoire of molecular mechanisms of regulation or may be necessary for fine-tuning of switch properties. We previously performed a phospho-proteomic analysis in FPR2-stimulated cells that revealed, among other things, not yet identified phospho-sites on six protein kinases and one protein phosphatase.