Robust Identification of Local Adaptation from Allele
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Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Supplementary Online Content Thaivalappil S, Bauman N, Saieg A, Movius E, Brown KJ, Preciado D. Propranolol-mediated attenuation of MMP-9 excretion in infants with hemangiomas. JAMA Otolaryngol Head Neck Surg. doi:10.1001/jamaoto.2013.4773 eTable. List of All of the Proteins Identified by Proteomics This supplementary material has been provided by the authors to give readers additional information about their work. © 2013 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/01/2021 eTable. List of All of the Proteins Identified by Proteomics Protein Name Prop 12 mo/4 Pred 12 mo/4 Δ Prop to Pred mo mo Myeloperoxidase OS=Homo sapiens GN=MPO 26.00 143.00 ‐117.00 Lactotransferrin OS=Homo sapiens GN=LTF 114.00 205.50 ‐91.50 Matrix metalloproteinase‐9 OS=Homo sapiens GN=MMP9 5.00 36.00 ‐31.00 Neutrophil elastase OS=Homo sapiens GN=ELANE 24.00 48.00 ‐24.00 Bleomycin hydrolase OS=Homo sapiens GN=BLMH 3.00 25.00 ‐22.00 CAP7_HUMAN Azurocidin OS=Homo sapiens GN=AZU1 PE=1 SV=3 4.00 26.00 ‐22.00 S10A8_HUMAN Protein S100‐A8 OS=Homo sapiens GN=S100A8 PE=1 14.67 30.50 ‐15.83 SV=1 IL1F9_HUMAN Interleukin‐1 family member 9 OS=Homo sapiens 1.00 15.00 ‐14.00 GN=IL1F9 PE=1 SV=1 MUC5B_HUMAN Mucin‐5B OS=Homo sapiens GN=MUC5B PE=1 SV=3 2.00 14.00 ‐12.00 MUC4_HUMAN Mucin‐4 OS=Homo sapiens GN=MUC4 PE=1 SV=3 1.00 12.00 ‐11.00 HRG_HUMAN Histidine‐rich glycoprotein OS=Homo sapiens GN=HRG 1.00 12.00 ‐11.00 PE=1 SV=1 TKT_HUMAN Transketolase OS=Homo sapiens GN=TKT PE=1 SV=3 17.00 28.00 ‐11.00 CATG_HUMAN Cathepsin G OS=Homo -
Mouse CELA3B ORF Mammalian Expression Plasmid, C-His Tag
Mouse CELA3B ORF mammalian expression plasmid, C-His tag Catalog Number: MG53134-CH General Information Plasmid Resuspension protocol Gene : chymotrypsin-like elastase family, 1. Centrifuge at 5,000×g for 5 min. member 3B 2. Carefully open the tube and add 100 l of sterile water to Official Symbol : CELA3B dissolve the DNA. Synonym : Ela3; Ela3b; AI504000; 0910001F22Rik; 2310074F01Rik 3. Close the tube and incubate for 10 minutes at room Source : Mouse temperature. cDNA Size: 810bp 4. Briefly vortex the tube and then do a quick spin to RefSeq : NM_026419.2 concentrate the liquid at the bottom. Speed is less than Description 5000×g. Lot : Please refer to the label on the tube 5. Store the plasmid at -20 ℃. Vector : pCMV3-C-His Shipping carrier : The plasmid is ready for: Each tube contains approximately 10 μg of lyophilized plasmid. • Restriction enzyme digestion Storage : • PCR amplification The lyophilized plasmid can be stored at ambient temperature for three months. • E. coli transformation Quality control : • DNA sequencing The plasmid is confirmed by full-length sequencing with primers in the sequencing primer list. E.coli strains for transformation (recommended Sequencing primer list : but not limited) pCMV3-F: 5’ CAGGTGTCCACTCCCAGGTCCAAG 3’ Most commercially available competent cells are appropriate for pcDNA3-R : 5’ GGCAACTAGAAGGCACAGTCGAGG 3’ the plasmid, e.g. TOP10, DH5α and TOP10F´. Or Forward T7 : 5’ TAATACGACTCACTATAGGG 3’ ReverseBGH : 5’ TAGAAGGCACAGTCGAGG 3’ pCMV3-F and pcDNA3-R are designed by Sino Biological Inc. Customers can order the primer pair from any oligonucleotide supplier. Manufactured By Sino Biological Inc., FOR RESEARCH USE ONLY. NOT FOR USE IN HUMANS. -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
(12) Patent Application Publication (10) Pub. No.: US 2015/0072349 A1 Diamandis Et Al
US 201500 72349A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2015/0072349 A1 Diamandis et al. (43) Pub. Date: Mar. 12, 2015 (54) CANCER BOMARKERS AND METHODS OF (52) U.S. Cl. USE CPC. G0IN33/57484 (2013.01); G0IN 2333/705 (2013.01) (71) Applicant: University Health Network, Toronto USPC ......................................... 435/6.12: 435/7.94 (CA) (57) ABSTRACT A method of evaluating a probability a Subject has a cancer, (72) Inventors: Eleftherios P. Diamandis, Toronto diagnosing a cancer and/or monitoring cancer progression (CA); Ioannis Prassas, Toronto (CA); comprising: a. measuring an amount of a biomarker selected Shalini Makawita, Toronto (CA); from the group consisting of CUZD1 and/or LAMC2 and/or Caitlin Chrystoja, Toronto (CA); Hari the group CUZD1, LAMC2, AQP8, CELA2B, CELA3B, M. Kosanam, Maple (CA) CTRB1, CTRB2, GCG, IAPP, INS, KLK1, PNLIPRP1, PNLIPRP2, PPY, PRSS3, REG3G, SLC30A8, KLK3, NPY, (21) Appl. No.: 14/385,449 PSCA, RLN1, SLC45A3, DSP GP73, DSG2, CEACAM7, CLCA1, GPA33, LEFTY1, ZG16, IRX5, LAMP3, MFAP4, (22) PCT Fled: Mar. 15, 2013 SCGB1A1, SFTPC, TMEM100, NPY, PSCA RLN1 and/or SLC45A3 in a test sample from a subject with cancer; (86) PCT NO.: PCT/CA2O13/OOO248 wherein the cancer is pancreas cancer if CUZD1, LAMC2, S371 (c)(1), AQP8, CELA2B, CELA3B, CTRB1, CTRB2, GCG, LAPP (2) Date: Sep. 23, 2014 INS, KLK1, PNLIPRP1, PNLIPRP2, PPY, PRSS3, REG3G, SLC30A8, DSP GP73 and/or DSG2 is selected; the cancer is colon cancer if CEACAM7, CLCA1, GPA33, LEFTY 1 and/ Related U.S. Application Data or ZG16 is selected, the cancer is lung cancer if IRX5, (60) Provisional application No. -
Cellular Heterogeneity During Mouse Pancreatic Ductal Adenocarcinoma Progression at Single-Cell Resolution
Cellular heterogeneity during mouse pancreatic ductal adenocarcinoma progression at single-cell resolution Abdel Nasser Hosein, … , Udit Verma, Rolf A. Brekken JCI Insight. 2019. https://doi.org/10.1172/jci.insight.129212. Research In-Press Preview Gastroenterology Oncology Pancreatic ductal adenocarcinoma (PDA) is a major cause of cancer-related death with limited therapeutic options available. This highlights the need for improved understanding of the biology of PDA progression, a highly complex and dynamic process featuring changes in cancer cells and stromal cells. A comprehensive characterization of PDA cancer cell and stromal cell heterogeneity during disease progression is lacking. In this study, we aimed to profile cell populations and understand their phenotypic changes during PDA progression. To that end, we employed single-cell RNA sequencing technology to agnostically profile cell heterogeneity during different stages of PDA progression in genetically engineered mouse models. Our data indicate that an epithelial-to-mesenchymal transition of cancer cells accompanies tumor progression in addition to distinct populations of macrophages with increasing inflammatory features. We also noted the existence of three distinct molecular subtypes of fibroblasts in the normal mouse pancreas, which ultimately gave rise to two distinct populations of fibroblasts in advanced PDA, supporting recent reports on intratumoral fibroblast heterogeneity. Our data also suggest that cancer cells and fibroblasts may be dynamically regulated by epigenetic -
1078-0432.CCR-10-0889.Full.Pdf
Author Manuscript Published OnlineFirst on June 15, 2010; DOI: 10.1158/1078-0432.CCR-10-0889 AuthorPublished manuscripts OnlineFirst have been peer on reviewedJune 15, and 2010 accepted as 10.1158/1078-0432.CCR-10-0889for publication but have not yet been edited. Clinical implications of gene dosage and gene expression patterns in diploid breast carcinoma ∗ Toshima Z. Parris,1, Anna Danielsson,1 Szilárd Nemes,1 Anikó Kovács,2 Ulla Delle,1 Ghita Fallenius,1 Elin Möllerström,1 Per Karlsson,1 and Khalil Helou1 Running Title: Clinical relevance of integrative genomics in breast cancer Keywords: Diploid breast carcinoma, array-CGH, copy number aberration, gene expression microarray, aggressive phenotype Authors’ Affiliations: 1Department of Oncology, Institute of Clinical Sciences, and 2Laboratory of Clinical Pathology and Cytology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/). ∗ Corresponding Author: Toshima Z. Parris, Department of Oncology, Sahlgrenska Academy at University of Gothenburg, Gula stråket 2, SE-41345 Gothenburg, Sweden. Phone: 46-31- 3427855; Fax: 46-31-820114; E-mail: [email protected]. Grant support: This work was supported by grants from the King Gustav V Jubilee Clinic Cancer Research Foundation (K. Helou) and the Wilhelm and Martina Lundgren Research Foundation (T. Parris). Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Copyright © 2010 American Association for Cancer Research Downloaded from clincancerres.aacrjournals.org on September 30, 2021. © 2010 American Association for Cancer Research. Author Manuscript Published OnlineFirst on June 15, 2010; DOI: 10.1158/1078-0432.CCR-10-0889 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
[CELA3B/1257] Cat
CELA3B Antibody [CELA3B/1257] Cat. No.: 33-782 CELA3B Antibody [CELA3B/1257] IHC testing of FFPE mouse pancreas with Elastase 3B antibody (clone IHC testing of FFPE rat pancreas with Elastase 3B antibody (clone CELA3B/1257). Required HIER: boil CELA3B/1257). Required HIER: boil tissue sections in 10mM Tris with 1mM tissue sections in 10mM Tris with 1mM EDTA, pH 9, for 10-20 min followed by cooling at RT for 20 min. EDTA, pH 9, for 10-20 min followed by cooling at RT for 20 min. SDS-PAGE Analysis of Purified, BSA- Free Elastase 3B Antibody (clone CELA3B/1257). Confirmation of Integrity and Purity of the Antibody. Specifications HOST SPECIES: Mouse September 30, 2021 1 https://www.prosci-inc.com/cela3b-antibody-cela3b-1257-33-782.html SPECIES REACTIVITY: Human, Mouse, Rat A partial recombinant protein (aa 82-238) was used as the immunogen for the Elastase 3B IMMUNOGEN: antibody. TESTED APPLICATIONS: ELISA, Flow, IF, IHC-P, WB ELISA: 2-4 ug/ml; order BSA free format for coating Flow Cytometry: 0.5-1ug/10^6 cells in 0.1ml IF: 1-2 ug/ml APPLICATIONS: IHC-P: 1-2 ug/ml for 30 min at RT Optimal dilution of the Elastase 3B antibody should be determined by the researcher. 1. FFPE staining requires Properties PURIFICATION: Protein G CLONALITY: Monoclonal ISOTYPE: IgG1 CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: PBS with 0.1 mg/ml BSA and 0.05% sodium azide CONCENTRATION: 0.2 mg/mL STORAGE CONDITIONS: Aliquot and Store at 2-8˚C. Avoid freez-thaw cycles. -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Drosophila and Human Transcriptomic Data Mining Provides Evidence for Therapeutic
Drosophila and human transcriptomic data mining provides evidence for therapeutic mechanism of pentylenetetrazole in Down syndrome Author Abhay Sharma Institute of Genomics and Integrative Biology Council of Scientific and Industrial Research Delhi University Campus, Mall Road Delhi 110007, India Tel: +91-11-27666156, Fax: +91-11-27662407 Email: [email protected] Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 Running head: Pentylenetetrazole mechanism in Down syndrome 1 Abstract Pentylenetetrazole (PTZ) has recently been found to ameliorate cognitive impairment in rodent models of Down syndrome (DS). The mechanism underlying PTZ’s therapeutic effect is however not clear. Microarray profiling has previously reported differential expression of genes in DS. No mammalian transcriptomic data on PTZ treatment however exists. Nevertheless, a Drosophila model inspired by rodent models of PTZ induced kindling plasticity has recently been described. Microarray profiling has shown PTZ’s downregulatory effect on gene expression in fly heads. In a comparative transcriptomics approach, I have analyzed the available microarray data in order to identify potential mechanism of PTZ action in DS. I find that transcriptomic correlates of chronic PTZ in Drosophila and DS counteract each other. A significant enrichment is observed between PTZ downregulated and DS upregulated genes, and a significant depletion between PTZ downregulated and DS dowwnregulated genes. Further, the common genes in PTZ Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 downregulated and DS upregulated sets show enrichment for MAP kinase pathway. My analysis suggests that downregulation of MAP kinase pathway may mediate therapeutic effect of PTZ in DS. Existing evidence implicating MAP kinase pathway in DS supports this observation. -
Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham a Thesis Submitted in Conformity
Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Molecular Genetics University of Toronto © Copyright by Edward James Higginbotham 2020 i Abstract Characterizing Genomic Duplication in Autism Spectrum Disorder Edward James Higginbotham Master of Science Graduate Department of Molecular Genetics University of Toronto 2020 Duplication, the gain of additional copies of genomic material relative to its ancestral diploid state is yet to achieve full appreciation for its role in human traits and disease. Challenges include accurately genotyping, annotating, and characterizing the properties of duplications, and resolving duplication mechanisms. Whole genome sequencing, in principle, should enable accurate detection of duplications in a single experiment. This thesis makes use of the technology to catalogue disease relevant duplications in the genomes of 2,739 individuals with Autism Spectrum Disorder (ASD) who enrolled in the Autism Speaks MSSNG Project. Fine-mapping the breakpoint junctions of 259 ASD-relevant duplications identified 34 (13.1%) variants with complex genomic structures as well as tandem (193/259, 74.5%) and NAHR- mediated (6/259, 2.3%) duplications. As whole genome sequencing-based studies expand in scale and reach, a continued focus on generating high-quality, standardized duplication data will be prerequisite to addressing their associated biological mechanisms. ii Acknowledgements I thank Dr. Stephen Scherer for his leadership par excellence, his generosity, and for giving me a chance. I am grateful for his investment and the opportunities afforded me, from which I have learned and benefited. I would next thank Drs. -
Long Non-Coding RNA Profiling of Pediatric Medulloblastoma Varun Kesherwani1, Mamta Shukla2, Don W
Kesherwani et al. BMC Medical Genomics (2020) 13:87 https://doi.org/10.1186/s12920-020-00744-7 RESEARCH ARTICLE Open Access Long non-coding RNA profiling of pediatric Medulloblastoma Varun Kesherwani1, Mamta Shukla2, Don W. Coulter3, J. Graham Sharp2, Shantaram S. Joshi2 and Nagendra K. Chaturvedi3,4* Abstract Background: Medulloblastoma (MB) is one of the most common malignant cancers in children. MB is primarily classified into four subgroups based on molecular and clinical characteristics as (1) WNT (2) Sonic-hedgehog (SHH) (3) Group 3 (4) Group 4. Molecular characteristics used for MB classification are based on genomic and mRNAs profiles. MB subgroups share genomic and mRNA profiles and require multiple molecular markers for differentiation from each other. Long non-coding RNAs (lncRNAs) are more than 200 nucleotide long RNAs and primarily involve in gene regulation at epigenetic and post-transcriptional levels. LncRNAs have been recognized as diagnostic and prognostic markers in several cancers. However, the lncRNA expression profile of MB is unknown. Methods: We used the publicly available gene expression datasets for the profiling of lncRNA expression across MB subgroups. Functional analysis of differentially expressed lncRNAs was accomplished by Ingenuity pathway analysis (IPA). Results: In the current study, we have identified and validated the lncRNA expression profile across pediatric MB subgroups and associated molecular pathways. We have also identified the prognostic significance of lncRNAs and unique lncRNAs associated with each MB subgroup. Conclusions: Identified lncRNAs can be used as single biomarkers for molecular identification of MB subgroups that warrant further investigation and functional validation. Keywords: Long non-coding RNA, Pediatric Medulloblastoma, Cancer biomarkers, Gene expression and pathways, Therapeutic targets Background The WNT subgroup is least common among all 4 sub- Medulloblastoma (MB), the most common pediatric groups and present in only 10% of cases.