New Approach for Untangling the Role of Uncommon Calcium-Binding Proteins in the Central Nervous System
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Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Primary Antibodies Flyer
Primary Antibodies Your choice of size and format Format Concentration Size CF® dye conjugates (13 colors) 0.1 mg/mL 100 or 500 uL Biotin, HRP or AP conjugates 0.1 mg/mL 100 or 500 uL R-PE, APC, or Per-CP conjugates 0.1 mg/mL 250 uL Purified, with BSA 0.1 mg/mL 100 or 500 uL Purified, BSA-free (Mix-n-Stain™ Ready) 1 mg/mL 50 uL Advantages Figure 1. IHC staining of human prostate Figure 2. Flow cytometry analysis of U937 • More than 1000 monoclonal antibodies carcinoma with anti-ODC1 clone cells with anti-CD31/PECAM clone C31.7, • Growing selection of monoclonal rabbit ODC1/485. CF647 conjugate (blue) or isotype control (orange). antibodies • Validated in IHC and other applications Your choice of 13 bright and photostable CF® dyes • Choose from 13 bright and stable CF® dyes CF® dye Ex/Em (nm) Features • Also available with R-PE, APC, PerCP, HRP, AP, CF®405S 404/431 • Better fit for the 450/50 flow cytometer channel than Alexa Fluor® 405 or biotin CF®405M 408/452 • More photostable than Pacific Blue®, with less green spill-over • Purified antibodies available BSA-free, 1 mg/mL, • Compatible with super-resolution imaging by SIM ready to use for Mix-n-Stain™ labeling or other CF®488A 490/515 • Less non-specific binding and spill-over than Alexa Fluor® 488 conjugation • Very photostable and pH-insensitive • Compatible with super-resolution imaging by TIRF • Offered in affordable 100 uL size CF®543 541/560 • Brighter than Alexa Fluor® 546 CF®555 555/565 • Brighter than Cy®3 • Validated in multicolor super-resolution imaging by STORM CF®568 -
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. -
Families and the Structural Relatedness Among Globular Proteins
Protein Science (1993), 2, 884-899. Cambridge University Press. Printed in the USA. Copyright 0 1993 The Protein Society -~~ ~~~~ ~ Families and the structural relatedness among globular proteins DAVID P. YEE AND KEN A. DILL Department of Pharmaceutical Chemistry, University of California, San Francisco, California94143-1204 (RECEIVEDJanuary 6, 1993; REVISEDMANUSCRIPT RECEIVED February 18, 1993) Abstract Protein structures come in families. Are families “closely knit” or “loosely knit” entities? We describe a mea- sure of relatedness among polymer conformations. Based on weighted distance maps, this measure differs from existing measures mainly in two respects: (1) it is computationally fast, and (2) it can compare any two proteins, regardless of their relative chain lengths or degree of similarity. It does not require finding relative alignments. The measure is used here to determine the dissimilarities between all 12,403 possible pairs of 158 diverse protein structures from the Brookhaven Protein Data Bank (PDB). Combined with minimal spanning trees and hier- archical clustering methods,this measure is used to define structural families. It is also useful for rapidly searching a dataset of protein structures for specific substructural motifs.By using an analogy to distributions of Euclid- ean distances, we find that protein families are not tightly knit entities. Keywords: protein family; relatedness; structural comparison; substructure searches Pioneering work over the past 20 years has shown that positions after superposition. RMS is a useful distance proteins fall into families of related structures (Levitt & metric for comparingstructures that arenearly identical: Chothia, 1976; Richardson, 1981; Richardson & Richard- for example, when refining or comparing structures ob- son, 1989; Chothia & Finkelstein, 1990). -
Calprotectin and Calgranulin C Serum Levels in Bacterial Sepsis
Diagnostic Microbiology and Infectious Disease 93 (2019) 219–226 Contents lists available at ScienceDirect Diagnostic Microbiology and Infectious Disease journal homepage: www.elsevier.com/locate/diagmicrobio ☆ Calprotectin and calgranulin C serum levels in bacterial sepsis Eva Bartáková a,MarekŠtefan a,Alžběta Stráníková a, Lenka Pospíšilová b, Simona Arientová a,Ondřej Beran a, Marie Blahutová b, Jan Máca a,c,MichalHoluba,⁎ a Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, U Vojenské nemocnice 1200, 169 02 Praha 6, Czech Republic b Department of Clinical Biochemistry, Military University Hospital Prague, U Vojenské nemocnice 1200, 169 02 Praha 6, Czech Republic c Department of Anesthesiology and Intensive Care Medicine, University Hospital of Ostrava, 17. listopadu 1790/5, 708 52 Ostrava-Poruba, Czech Republic article info abstract Article history: The aim of this study was to evaluate the serum levels of calprotectin and calgranulin C and routine biomarkers in Received 26 March 2018 patients with bacterial sepsis (BS). The initial serum concentrations of calprotectin and calgranulin C were signif- Received in revised form 2 October 2018 icantly higher in patients with BS (n = 66) than in those with viral infections (n = 24) and the healthy controls Accepted 10 October 2018 (n = 26); the level of calprotectin was found to be the best predictor of BS, followed by the neutrophil- Available online 17 October 2018 lymphocyte count ratio (NLCR) and the level of procalcitonin (PCT). The white blood cell (WBC) count and the NLCR rapidly returned to normal levels, whereas PCT levels normalized later and the increased levels of Keywords: Sepsis calprotectin, calgranulin C, and C-reactive protein persisted until the end of follow-up. -
S100A10 in Cancer Progression and Chemotherapy Resistance: a Novel Therapeutic Target Against Ovarian Cancer
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 15 October 2018 doi:10.20944/preprints201810.0318.v1 Peer-reviewed version available at Int. J. Mol. Sci. 2018, 19, 4122; doi:10.3390/ijms19124122 Review S100A10 in Cancer Progression and Chemotherapy Resistance: A Novel Therapeutic Target against Ovarian Cancer Tannith M Noye1, Noor A Lokman1 Martin K Oehler1, 2 and Carmela Ricciardelli1,* 1 Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia emails: [email protected] (T.M.N.); [email protected] (N.A.L.); [email protected] (M.K.O); [email protected](C.R) 2 Department of Gynaecological Oncology, Royal Adelaide Hospital, Adelaide, South Australia, Australia * Correspondence: [email protected]; Tel.: +61-0883138255 Abstract: S100A10, which is also known as p11 is located in the plasma membrane and forms a heterotetramer with annexin A2. The heterotetramer, comprising of 2 subunits of annexin A2 and S100A10, activates the plasminogen activation pathway which is involved in cellular repair of normal tissues. Increased expression of annexin A2 and S100A10 in cancer cells leads to increased levels of plasmin which promote degradation of the extracellular matrix, increased angiogenesis and invasion of the surrounding organs. Although many studies have investigated the functional role of annexin A2 in cancer cells including ovarian cancer, S100A10 has been less studied. We recently demonstrated that high stromal annexin A2 and high cytoplasmic S100A10 expression is associated with a 3.4 fold increased risk of progression and 7.9 fold risk of death in ovarian cancer patients. -
Calmodulin and Calmodulin-Dependent Protein Kinase II Inhibit Hormone Secretion in Human Parathyroid Adenoma
31 Calmodulin and calmodulin-dependent protein kinase II inhibit hormone secretion in human parathyroid adenoma Ming Lu1,2,3, Erik Berglund1, Catharina Larsson1,3, Anders Ho¨o¨g4, Lars-Ove Farnebo1 and Robert Bra¨nstro¨m1 1Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital L1:03, SE-171 76 Stockholm, Sweden 2Department of Geriatric Endocrinology, First Affiliated Hospital of Guangxi Medical University, NanNing, People’s Republic of China 3Center for Molecular Medicine (CMM), Karolinska University Hospital, SE-171 76 Stockholm, Sweden 4Department of Oncology–Pathology, Karolinska Institutet, Karolinska University Hospital, SE-171 76 Stockholm, Sweden (Correspondence should be addressed to M Lu at Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital; Email: [email protected]) Abstract 2C 2C Intracellular calcium ([Ca ]i) is the most relevant modulator adenoma cells in spite of increased [Ca ]i. The inhibitory C of parathyroid hormone (PTH) secretion. Uniquely, an effect of Ca2 calmodulin on PTH secretion may be due to 2C increase in [Ca ]i results in an inhibition of PTH secretion, the absence of synaptotagmin 1 protein in parathyroid and it probably exerts its function via calcium-binding protein adenomas, as demonstrated by western blot analysis. An pathways. The ubiquitous calcium-binding proteins, calmo- increased extracellular calcium level acutely lowered the dulin and calmodulin-dependent protein kinase II (CaMKII), amount of active phosphorylated CaMKII (pCaMKII) in have well-established roles in regulated exocytosis in neurons adenoma cells in vitro, indicating the physiological importance and neuroendocrine cells. However, their roles in parathyroid of this pathway. Moreover, a negative correlation between the cells and PTH secretion are still unclear. -
Androgen Receptor Interacting Proteins and Coregulators Table
ANDROGEN RECEPTOR INTERACTING PROTEINS AND COREGULATORS TABLE Compiled by: Lenore K. Beitel, Ph.D. Lady Davis Institute for Medical Research 3755 Cote Ste Catherine Rd, Montreal, Quebec H3T 1E2 Canada Telephone: 514-340-8260 Fax: 514-340-7502 E-Mail: [email protected] Internet: http://androgendb.mcgill.ca Date of this version: 2010-08-03 (includes articles published as of 2009-12-31) Table Legend: Gene: Official symbol with hyperlink to NCBI Entrez Gene entry Protein: Protein name Preferred Name: NCBI Entrez Gene preferred name and alternate names Function: General protein function, categorized as in Heemers HV and Tindall DJ. Endocrine Reviews 28: 778-808, 2007. Coregulator: CoA, coactivator; coR, corepressor; -, not reported/no effect Interactn: Type of interaction. Direct, interacts directly with androgen receptor (AR); indirect, indirect interaction; -, not reported Domain: Interacts with specified AR domain. FL-AR, full-length AR; NTD, N-terminal domain; DBD, DNA-binding domain; h, hinge; LBD, ligand-binding domain; C-term, C-terminal; -, not reported References: Selected references with hyperlink to PubMed abstract. Note: Due to space limitations, all references for each AR-interacting protein/coregulator could not be cited. The reader is advised to consult PubMed for additional references. Also known as: Alternate gene names Gene Protein Preferred Name Function Coregulator Interactn Domain References Also known as AATF AATF/Che-1 apoptosis cell cycle coA direct FL-AR Leister P et al. Signal Transduction 3:17-25, 2003 DED; CHE1; antagonizing regulator Burgdorf S et al. J Biol Chem 279:17524-17534, 2004 CHE-1; AATF transcription factor ACTB actin, beta actin, cytoplasmic 1; cytoskeletal coA - - Ting HJ et al. -
The Cardiac-Specific N-Terminal Region of Troponin I Positions the Regulatory Domain of Troponin C
The cardiac-specific N-terminal region of troponin I positions the regulatory domain of troponin C Peter M. Hwanga,b,1, Fangze Caib, Sandra E. Pineda-Sanabriab, David C. Corsonb, and Brian D. Sykesb aDivision of General Internal Medicine, Department of Medicine, and bDepartment of Biochemistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada T6G 2H7 Edited by David Baker, University of Washington, Seattle, WA, and approved August 29, 2014 (received for review June 11, 2014) The cardiac isoform of troponin I (cTnI) has a unique 31-residue phosphorylation levels occur in a number of pathologic states, N-terminal region that binds cardiac troponin C (cTnC) to increase including heart failure with reduced ejection fraction, heart failure the calcium sensitivity of the sarcomere. The interaction can be with preserved ejection fraction, dilated cardiomyopathy, and hy- abolished by cTnI phosphorylation at Ser22 and Ser23, an impor- pertrophic cardiomyopathy (5, 8). Although dephosphorylation tant mechanism for regulating cardiac contractility. cTnC contains is likely a compensatory mechanism in many cases, it may be a two EF–hand domains (the N and C domain of cTnC, cNTnC and disease-driving dysregulation in others. cCTnC) connected by a flexible linker. Calcium binding to either Other regulatory mechanisms are strongly influenced by the domain favors an “open” conformation, exposing a large hydro- phosphorylation state of Ser22/23. The Frank–Starling law of the phobic surface that is stabilized by target binding, cTnI[148–158] heart, also known as length-dependent activation or stretch ac- for cNTnC and cTnI[39–60] for cCTnC. We used multinuclear multi- tivation, is more pronounced when Ser22/23 are phosphorylated – dimensional solution NMR spectroscopy to study cTnI[1 73] in (9, 10). -
Supplemental Information IRF4 Transcription Factor-Dependent Cd11b+ Dendritic Cells in Human and Mouse Control Mucosal IL-17 C
Immunity, Volume 38 Supplemental Information IRF4 Transcription Factor-Dependent CD11b+ Dendritic Cells in Human and Mouse Control Mucosal IL-17 Cytokine Responses Andreas Schlitzer, Naomi McGovern, Pearline Teo, Teresa Zelante, Koji Atarashi, Donovan Low, Adrian W.S. Ho, Peter See, Amanda Shin, Pavandip Singh Wasan, Guillaume Hoeffel, Benoit Malleret, Alexander Heiseke, Samantha Chew, Laura Jardine, Harriet A. Purvis, Catharien M.U. Hilkens, John Tam, Michael Poidinger, E. Richard Stanley, Anne B. K rug, Laurent Renia, Baalasubramanian Sivasankar, Lai Guan Ng, Matthew Collin, Paola Ricciardi-Castagnoli, Kenya Honda, Muzlifah Haniffa, and Florent Ginhoux Supplemental Inventory 1. Supplemental Figures and Tables Figure S1, Related to Figure 1 Figure S2, Related to Figure 2 and 3 Figure S3, Related to Figure 4 Figure S4, Related to Figure 5 Figure S5, Related to Figure 5 Figure S6, Related to Figure 7 Table S1, Related to Figure 3 Table S2, Related to Figure 6 Table S3, Related to Figure 6 2. Supplemental Experimental Procedures 3. Supplemental References Supplementary figure 1 Sorting strategy for mouse lung and small intestinal DC A Sorting strategy, Lung Singlets Dapi-CD45+ 250K 250K 250K 105 200K 200K 200K 104 A I - 150K 150K 150K C P C C 3 10 S A S S 100K 100K S 100K D S S 102 50K 50K 50K 0 0 0 0 0 50K 100K 150K 200K 250K 0 50K 100K 150K 200K 250K 0 103 104 105 0 103 104 105 FSC FSC-W CD45 GR1 Auto Fluor.- MHCII+ GR1- SSClow CD11c+ CD11b+ 250K 105 105 105 200K 4 104 10 104 150K I 3 I 3 4 3 0 10 3 C 2 H 10 10 100K 1 S D C D S C M 2 C 10 50K 0 0 0 0 0 102 103 104 105 0 103 104 105 0 103 104 105 0 103 104 105 Auto fluor. -
A Human Population-Based Organotypic in Vitro Model for Cardiotoxicity Screening1
ALTEX preprint published July 8, 2018 doi:10.14573/altex.1805301 Research Article A human population-based organotypic in vitro model for cardiotoxicity screening1 Fabian A. Grimm1, Alexander Blanchette1, John S. House2, Kyle Ferguson1, Nan-Hung Hsieh1, Chimeddulam Dalaijamts1, Alec A. Wright1, Blake Anson5, Fred A. Wright3,4, Weihsueh A. Chiu1, Ivan Rusyn1 1Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA; 2Bioinformatics Research Center, 3Department of Biological Sciences, and 4Department of Statistics, North Carolina State University, Raleigh, NC, USA; 5Cellular Dynamics International, Madison, WI, USA Abstract Assessing inter-individual variability in responses to xenobiotics remains a substantial challenge, both in drug development with respect to pharmaceuticals and in public health with respect to environmental chemicals. Although approaches exist to characterize pharmacokinetic variability, there are no methods to routinely address pharmacodynamic variability. In this study, we aimed to demonstrate the feasibility of characterizing inter-individual variability in a human in vitro model. Specifically, we hypothesized that genetic variability across a population of iPSC- derived cardiomyocytes translates into reproducible variability in both baseline phenotypes and drug responses. We measured baseline and drug-related effects in iPSC-derived cardiomyocytes from 27 healthy donors on kinetic Ca2+ flux and high-content live cell imaging. Cells were treated in concentration-response with cardiotoxic drugs: isoproterenol (β- adrenergic receptor agonist/positive inotrope), propranolol (β-adrenergic receptor antagonist/negative inotrope), and cisapride (hERG channel inhibitor/QT prolongation). Cells from four of the 27 donors were further evaluated in terms of baseline and treatment-related gene expression. Reproducibility of phenotypic responses was evaluated across batches and time. -
Bioinformatic Analyses in Early Host Response To
Schroyen et al. BMC Genomics (2016) 17:196 DOI 10.1186/s12864-016-2547-z RESEARCH ARTICLE Open Access Bioinformatic analyses in early host response to Porcine Reproductive and Respiratory Syndrome virus (PRRSV) reveals pathway differences between pigs with alternate genotypes for a major host response QTL Martine Schroyen1†, Christopher Eisley2†, James E. Koltes3, Eric Fritz-Waters1, Igseo Choi4, Graham S. Plastow5, Leluo Guan5, Paul Stothard5, Hua Bao5, Arun Kommadath5, James M. Reecy1, Joan K. Lunney4, Robert R. R. Rowland6, Jack C. M. Dekkers1 and Christopher K. Tuggle1* Abstract Background: AregiononSus scrofa chromosome 4 (SSC4) surrounding single nucleotide polymorphism (SNP) marker WUR10000125 (WUR) has been reported to be strongly associated with both weight gain and serum viremia in pigs after infection with PRRS virus (PRRSV). A proposed causal mutation in the guanylate binding protein 5 gene (GBP5)is predicted to truncate the encoded protein. To investigate transcriptional differences between WUR genotypes in early host response to PRRSV infection, an RNA-seq experiment was performed on globin depleted whole blood RNA collectedon0,4,7,10and14dayspost-infection(dpi)from eight littermate pairs with one AB (favorable) and one AA (unfavorable) WUR genotype animal per litter. Results: Gene Ontology (GO) enrichment analysis of transcripts that were differentially expressed (DE) between dpi across both genotypes revealed an inflammatory response for all dpi when compared to day 0. However, at the early time points of 4 and 7dpi, several GO terms had higher enrichment scores compared to later dpi, including inflammatory response (p <10-7), specifically regulation of NFkappaB (p < 0.01), cytokine, and chemokine activity (p <0.01).At10and 14dpi, GO term enrichment indicated a switch to DNA damage response, cell cycle checkpoints, and DNA replication.