Detection of Human Elastase Isoforms by the Schebo Pancreatic
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(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. -
Specificity of a Polyclonal Fecal Elastase ELISA for CELA3
RESEARCH ARTICLE Specificity of a Polyclonal Fecal Elastase ELISA for CELA3 Frank Ulrich Weiss, Christoph Budde, Markus M. Lerch* University Medicine Greifswald, Department of Medicine A, Ferdinand Sauerbruch-Str., D-17475 Greifswald, Germany * [email protected] a11111 Abstract Introduction Elastase is a proteolytic pancreatic enzyme that passes through the gastrointestinal tract undergoing only limited degradation. ELISA tests to determine stool elastase concentra- tions have therefore been developed for the diagnosis of exocrine pancreatic insufficiency. OPEN ACCESS Five different isoforms of pancreatic elastase (CELA1, CELA2A, CELA2B, CELA3A, Citation: Weiss FU, Budde C, Lerch MM (2016) CELA3B) are encoded in the human genome. We have investigated three different poly- Specificity of a Polyclonal Fecal Elastase ELISA for CELA3. PLoS ONE 11(7): e0159363. doi:10.1371/ clonal antisera that are used in a commercial fecal elastase ELISA to determine their speci- journal.pone.0159363 ficity for different pancreatic elastase isoforms. Editor: Keping Xie, The University of Texas MD Anderson Cancer Center, UNITED STATES Material and Methods Received: October 9, 2015 Different polyclonal rabbit antisera against human elastase peptides (BIOSERV Diagnos- Accepted: July 2, 2016 tics GmbH, Germany) were tested by Western blot analysis of human pancreatic juice, in HEK-293 cells expressing Elastase constructs, and in the protein content of porcine pancre- Published: July 26, 2016 atin, used for treatment of exocrine pancreatic insufficiency. Copyright: © 2016 Weiss et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits Results unrestricted use, distribution, and reproduction in any In human pancreatic juice the polyclonal antisera detected proteins at the corresponding medium, provided the original author and source are size of human pancreatic elastase isoforms (~29kDa). -
A Draft Map of the Human Proteome
ARTICLE doi:10.1038/nature13302 A draft map of the human proteome Min-Sik Kim1,2, Sneha M. Pinto3, Derese Getnet1,4, Raja Sekhar Nirujogi3, Srikanth S. Manda3, Raghothama Chaerkady1,2, Anil K. Madugundu3, Dhanashree S. Kelkar3, Ruth Isserlin5, Shobhit Jain5, Joji K. Thomas3, Babylakshmi Muthusamy3, Pamela Leal-Rojas1,6, Praveen Kumar3, Nandini A. Sahasrabuddhe3, Lavanya Balakrishnan3, Jayshree Advani3, Bijesh George3, Santosh Renuse3, Lakshmi Dhevi N. Selvan3, Arun H. Patil3, Vishalakshi Nanjappa3, Aneesha Radhakrishnan3, Samarjeet Prasad1, Tejaswini Subbannayya3, Rajesh Raju3, Manish Kumar3, Sreelakshmi K. Sreenivasamurthy3, Arivusudar Marimuthu3, Gajanan J. Sathe3, Sandip Chavan3, Keshava K. Datta3, Yashwanth Subbannayya3, Apeksha Sahu3, Soujanya D. Yelamanchi3, Savita Jayaram3, Pavithra Rajagopalan3, Jyoti Sharma3, Krishna R. Murthy3, Nazia Syed3, Renu Goel3, Aafaque A. Khan3, Sartaj Ahmad3, Gourav Dey3, Keshav Mudgal7, Aditi Chatterjee3, Tai-Chung Huang1, Jun Zhong1, Xinyan Wu1,2, Patrick G. Shaw1, Donald Freed1, Muhammad S. Zahari2, Kanchan K. Mukherjee8, Subramanian Shankar9, Anita Mahadevan10,11, Henry Lam12, Christopher J. Mitchell1, Susarla Krishna Shankar10,11, Parthasarathy Satishchandra13, John T. Schroeder14, Ravi Sirdeshmukh3, Anirban Maitra15,16, Steven D. Leach1,17, Charles G. Drake16,18, Marc K. Halushka15, T. S. Keshava Prasad3, Ralph H. Hruban15,16, Candace L. Kerr19{, Gary D. Bader5, Christine A. Iacobuzio-Donahue15,16,17, Harsha Gowda3 & Akhilesh Pandey1,2,3,4,15,16,20 The availability of human genome sequence has transformed biomedical research over the past decade. However, an equiv- alent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. -
Single Cell Derived Clonal Analysis of Human Glioblastoma Links
SUPPLEMENTARY INFORMATION: Single cell derived clonal analysis of human glioblastoma links functional and genomic heterogeneity ! Mona Meyer*, Jüri Reimand*, Xiaoyang Lan, Renee Head, Xueming Zhu, Michelle Kushida, Jane Bayani, Jessica C. Pressey, Anath Lionel, Ian D. Clarke, Michael Cusimano, Jeremy Squire, Stephen Scherer, Mark Bernstein, Melanie A. Woodin, Gary D. Bader**, and Peter B. Dirks**! ! * These authors contributed equally to this work.! ** Correspondence: [email protected] or [email protected]! ! Supplementary information - Meyer, Reimand et al. Supplementary methods" 4" Patient samples and fluorescence activated cell sorting (FACS)! 4! Differentiation! 4! Immunocytochemistry and EdU Imaging! 4! Proliferation! 5! Western blotting ! 5! Temozolomide treatment! 5! NCI drug library screen! 6! Orthotopic injections! 6! Immunohistochemistry on tumor sections! 6! Promoter methylation of MGMT! 6! Fluorescence in situ Hybridization (FISH)! 7! SNP6 microarray analysis and genome segmentation! 7! Calling copy number alterations! 8! Mapping altered genome segments to genes! 8! Recurrently altered genes with clonal variability! 9! Global analyses of copy number alterations! 9! Phylogenetic analysis of copy number alterations! 10! Microarray analysis! 10! Gene expression differences of TMZ resistant and sensitive clones of GBM-482! 10! Reverse transcription-PCR analyses! 11! Tumor subtype analysis of TMZ-sensitive and resistant clones! 11! Pathway analysis of gene expression in the TMZ-sensitive clone of GBM-482! 11! Supplementary figures and tables" 13" "2 Supplementary information - Meyer, Reimand et al. Table S1: Individual clones from all patient tumors are tumorigenic. ! 14! Fig. S1: clonal tumorigenicity.! 15! Fig. S2: clonal heterogeneity of EGFR and PTEN expression.! 20! Fig. S3: clonal heterogeneity of proliferation.! 21! Fig. -
Downloaded from the CAVA Integration with Data Generated by Pre-NGS Methods Webpage [19]
Münz et al. Genome Medicine (2015) 7:76 DOI 10.1186/s13073-015-0195-6 METHOD Open Access CSN and CAVA: variant annotation tools for rapid, robust next-generation sequencing analysis in the clinical setting Márton Münz1†, Elise Ruark2†, Anthony Renwick2, Emma Ramsay2, Matthew Clarke2, Shazia Mahamdallie2,3, Victoria Cloke3, Sheila Seal2,3, Ann Strydom2,3, Gerton Lunter1 and Nazneen Rahman2,3,4* Abstract Background: Next-generation sequencing (NGS) offers unprecedented opportunities to expand clinical genomics. It also presents challenges with respect to integration with data from other sequencing methods and historical data. Provision of consistent, clinically applicable variant annotation of NGS data has proved difficult, particularly of indels, an important variant class in clinical genomics. Annotation in relation to a reference genome sequence, the DNA strand of coding transcripts and potential alternative variant representations has not been well addressed. Here we present tools that address these challenges to provide rapid, standardized, clinically appropriate annotation of NGS data in line with existing clinical standards. Methods: We developed a clinical sequencing nomenclature (CSN), a fixed variant annotation consistent with the principles of the Human Genome Variation Society (HGVS) guidelines, optimized for automated variant annotation of NGS data. To deliver high-throughput CSN annotation we created CAVA (Clinical Annotation of VAriants), a fast, lightweight tool designed for easy incorporation into NGS pipelines. CAVA allows transcript specification, appropriately accommodates the strand of a gene transcript and flags variants with alternative annotations to facilitate clinical interpretation and comparison with other datasets. We evaluated CAVA in exome data and a clinical BRCA1/BRCA2 gene testing pipeline. -
Functional Genomic Annotation of Genetic Risk Loci Highlights Inflammation and Epithelial Biology Networks in CKD
BASIC RESEARCH www.jasn.org Functional Genomic Annotation of Genetic Risk Loci Highlights Inflammation and Epithelial Biology Networks in CKD Nora Ledo, Yi-An Ko, Ae-Seo Deok Park, Hyun-Mi Kang, Sang-Youb Han, Peter Choi, and Katalin Susztak Renal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania ABSTRACT Genome-wide association studies (GWASs) have identified multiple loci associated with the risk of CKD. Almost all risk variants are localized to the noncoding region of the genome; therefore, the role of these variants in CKD development is largely unknown. We hypothesized that polymorphisms alter transcription factor binding, thereby influencing the expression of nearby genes. Here, we examined the regulation of transcripts in the vicinity of CKD-associated polymorphisms in control and diseased human kidney samples and used systems biology approaches to identify potentially causal genes for prioritization. We interro- gated the expression and regulation of 226 transcripts in the vicinity of 44 single nucleotide polymorphisms using RNA sequencing and gene expression arrays from 95 microdissected control and diseased tubule samples and 51 glomerular samples. Gene expression analysis from 41 tubule samples served for external validation. 92 transcripts in the tubule compartment and 34 transcripts in glomeruli showed statistically significant correlation with eGFR. Many novel genes, including ACSM2A/2B, FAM47E, and PLXDC1, were identified. We observed that the expression of multiple genes in the vicinity of any single CKD risk allele correlated with renal function, potentially indicating that genetic variants influence multiple transcripts. Network analysis of GFR-correlating transcripts highlighted two major clusters; a positive correlation with epithelial and vascular functions and an inverse correlation with inflammatory gene cluster. -
Role of Chymotrypsin-Like Elastase 1 in Lung Physiology and in Α1-Antitrypsin Deficiency
bioRxiv preprint doi: https://doi.org/10.1101/138776; this version posted May 16, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Role of Chymotrypsin-like Elastase 1 in Lung Physiology and in α1-Antitrypsin Deficiency Authors: Rashika Joshi1a, Andrea Heinz2;3†, Qiang Fan1a, Shuling Guo4, Brett Monia4, Christian E.H. Schmelzer2,5, Anthony S. Weiss6a-c, Matthew Batie1b, Harikrishnan Parameswaran7, Brian M. Varisco*1a,8 Affiliations: 1-Cincinnati Childrens Hospital Medical Center, Cincinnati, Ohio a-Division of Critical Care Medicine b-Division of Clinical Engineering 2-Martin Luther University, Halle-Wittenberg, Germany 3-University of Copenhagen, Copenhagen, Denmark 4-Ionis Pharmaceuticals, Carlsbad, California 5-Fraunhofer Institute for Microstructure of Materials and Systems IMWS, Freiburg, Germany 6-University of Sydney, Sydney, Australia a-Charles Perkins Centre b-Life and Environmental Sciences c-Bosch Institute 7-Northeastern University Department of Biomedical Engineering, Boston, Massachusetts 8-Univeristy of Cincinnati Department of Pediatrics, Cincinnati, Ohio † Co-first Author * Corresponding Author. [email protected]. SUMMARY α1-antitrypsin (AAT) deficiency-related emphysema is the fourth leading indication for lung transplantation. We previously demonstrated that AAT covalently neutralizes chymotrypsin-like elastase 1 (Cela1) in vitro, that Cela1 is expressed during the alveolar stage of lung development in association with regions of lung elastin remodeling, and that lung stretch increases Cela1 expression and binding to lung elastin. Here we show that Cela1 is exclusively responsible for stretch-inducible lung elastase activity, reduces postnatal lung elastance, and is required for emphysema in an antisense oligo model of AAT deficiency. -
Loss of Chymotrypsin-Like Protease
www.nature.com/scientificreports OPEN Loss of chymotrypsin‑like protease (CTRL) alters intrapancreatic protease activation but not pancreatitis severity in mice Dóra Mosztbacher1, Zsanett Jancsó1,2 & Miklós Sahin‑Tóth1,2* The digestive enzyme chymotrypsin protects the pancreas against pancreatitis by reducing harmful trypsin activity. Genetic defciency in chymotrypsin increases pancreatitis risk in humans and pancreatitis severity in mice. Pancreatic chymotrypsin is produced in multiple isoforms including chymotrypsin B1, B2, C and chymotrypsin-like protease (CTRL). Here we investigated the role of CTRL in cerulein-induced pancreatitis in mice. Biochemical experiments with recombinant mouse enzymes demonstrated that CTRL cleaved trypsinogens and suppressed trypsin activation. We generated a novel CTRL-defcient strain (Ctrl-KO) using CRISPR-Cas9 genome engineering. Homozygous Ctrl-KO mice expressed no detectable CTRL protein in the pancreas. Remarkably, the total chymotrypsinogen content in Ctrl-KO mice was barely reduced indicating that CTRL is a low-abundance isoform. When given cerulein, Ctrl-KO mice exhibited lower intrapancreatic chymotrypsin activation and a trend for higher trypsin activation, compared with C57BL/6N mice. Despite the altered protease activation, severity of cerulein-induced acute pancreatitis was similar in Ctrl-KO and C57BL/6N mice. We conclude that CTRL is a minor chymotrypsin isoform that plays no signifcant role in cerulein-induced pancreatitis in mice. Te exocrine pancreas produces digestive proteases, each in several isoforms, that hydrolyze dietary proteins and peptides with distinct substrate specifcities1. Trypsins cleave peptide chains afer basic amino acids (Lys, Arg), chymotrypsins (CTRs) afer aromatic (Tyr, Phe, Trp) and aliphatic (Leu, Met) amino acids while chymotrypsin- like elastases (CELAs) prefer to cleave afer amino acids with aliphatic and/or small side chains (Ala, Val, Leu, Ile, Ser)2. -
The Role of Elastases in Pancreatic Diseases
The role of elastases in pancreatic diseases Ph.D. Thesis Anna Zsófia Tóth M.D. Supervisors: Prof. Péter Hegyi, M.D., Ph D., D.Sc. Prof. Miklós Sahin-Tóth, M.D., Ph.D., D.Sc Doctoral School of Theoretical Medicine Szeged 2018. Content Content ....................................................................................................................................... 1 1. List of abbreviations ........................................................................................................... 3 2. Introduction ......................................................................................................................... 5 2.1. Exocrin pancreatic insufficiency ................................................................................. 5 2.2. Pancreatic elastases ...................................................................................................... 5 2.3. Pancreatic function tests based on detection of elastases ............................................ 7 2.4. Possible role of elastases in chronic pancreatitis ......................................................... 8 3. Aims .................................................................................................................................. 10 3.1. ScheBo Pancreatic Elastase 1 Test Study .................................................................. 10 3.2. Genetic analysis study ............................................................................................... 10 4. Materials and methods ..................................................................................................... -
In-Depth Human Plasma Proteome Analysis Captures Tissue Proteins
TOOLS AND RESOURCES In-depth human plasma proteome analysis captures tissue proteins and transfer of protein variants across the placenta Maria Pernemalm1,3†, AnnSofi Sandberg1†, Yafeng Zhu1,3, Jorrit Boekel1,3, Davide Tamburro1, Jochen M Schwenk2, Albin Bjo¨ rk1, Marie Wahren-Herlenius1, Hanna A˚ mark1, Claes-Go¨ ran O¨ stenson1, Magnus Westgren1, Janne Lehtio¨ 1,3* 1Karolinska Institute, Stockholm, Sweden; 2Royal Institute of Technology, Stockholm, Sweden; 3Proteogenomics, Science for Life Laboratory, Sweden Abstract Here, we present a method for in-depth human plasma proteome analysis based on high-resolution isoelectric focusing HiRIEF LC-MS/MS, demonstrating high proteome coverage, reproducibility and the potential for liquid biopsy protein profiling. By integrating genomic sequence information to the MS-based plasma proteome analysis, we enable detection of single amino acid variants and for the first time demonstrate transfer of multiple protein variants between mother and fetus across the placenta. We further show that our method has the ability to detect both low abundance tissue-annotated proteins and phosphorylated proteins in plasma, as well as quantitate differences in plasma proteomes between the mother and the newborn as well as changes related to pregnancy. DOI: https://doi.org/10.7554/eLife.41608.001 Introduction *For correspondence: Several studies have presented draft maps of the human tissue proteome using mass spectrometry [email protected] (MS)-based methods (Kim et al., 2014; Wilhelm et al., 2014; Bekker-Jensen et al., 2017). Due to †These authors contributed major analytical challenges in plasma, extensive MS-based plasma proteome studies have largely equally to this work focused on meta-analysis of publicly available datasets. -
Transcriptomics of Cumulus Cells – a Window Into Oocyte Maturation in Humans Brandon A
Wyse et al. Journal of Ovarian Research (2020) 13:93 https://doi.org/10.1186/s13048-020-00696-7 RESEARCH Open Access Transcriptomics of cumulus cells – a window into oocyte maturation in humans Brandon A. Wyse1*† , Noga Fuchs Weizman1†, Seth Kadish1, Hanna Balakier1, Mugundhine Sangaralingam1 and Clifford L. Librach1,2,3,4 Abstract Background: Cumulus cells (CC) encapsulate growing oocytes and support their growth and development. Transcriptomic signatures of CC have the potential to serve as valuable non-invasive biomarkers for oocyte competency and potential. The present sibling cumulus-oocyte-complex (COC) cohort study aimed at defining functional variations between oocytes of different maturity exposed to the same stimulation conditions, by assessing the transcriptomic signatures of their corresponding CC. CC were collected from 18 patients with both germinal vesicle and metaphase II oocytes from the same cycle to keep the biological variability between samples to a minimum. RNA sequencing, differential expression, pathway analysis, and leading-edge were performed to highlight functional differences between CC encapsulating oocytes of different maturity. Results: Transcriptomic signatures representing CC encapsulating oocytes of different maturity clustered separately on principal component analysis with 1818 genes differentially expressed. CCs encapsulating mature oocytes were more transcriptionally synchronized when compared with CCs encapsulating immature oocytes. Moreover, the transcriptional activity was lower, albeit not absent, in CC encapsulating mature oocytes, with 2407 fewer transcripts detected than in CC encapsulating immature (germinal vesicle - GV) oocytes. Hallmark pathways and ovarian processes that were affected by oocyte maturity included cell cycle regulation, steroid metabolism, apoptosis, extracellular matrix remodeling, and inflammation. Conclusions: Herein we review our findings and discuss how they align with previous literature addressing transcriptomic signatures of oocyte maturation. -
Genetics of New-Onset Diabetes After Transplantation
BASIC RESEARCH www.jasn.org Genetics of New-Onset Diabetes after Transplantation † † Jennifer A. McCaughan,* Amy Jayne McKnight,* and Alexander P. Maxwell* *Nephrology Research Group, Queen’s University, Belfast, Northern Ireland; and †Regional Nephrology Unit, Belfast City Hospital, Belfast, Northern Ireland ABSTRACT New-onset diabetes after transplantation is a common complication that reduces recipient survival. Research in renal transplant recipients has suggested that pancreatic b-cell dysfunction, as opposed to insulin resistance, may be the key pathologic process. In this study, clinical and genetic factors associated with new-onset diabetes after transplantation were identified in a white population. A joint analysis ap- proach, with an initial genome-wide association study in a subset of cases followed by de novo genotyping in the complete case cohort, was implemented to identify single-nucleotide polymorphisms (SNPs) asso- ciated with the development of new-onset diabetes after transplantation. Clinical variables associated with the development of diabetes after renal transplantation included older recipient age, female sex, and percentage weight gain within 12 months of transplantation. The genome-wide association study identi- fied 26 SNPs associated with new-onset diabetes after transplantation; this association was validated for eight SNPs (rs10484821, rs7533125, rs2861484, rs11580170, rs2020902, rs1836882, rs198372, and rs4394754) by de novo genotyping. These associations remained significant after multivariate adjustment for clinical variables. Seven of these SNPs are associated with genes implicated in b-cell apoptosis. These results corroborate recent clinical evidence implicating b-cell dysfunction in the pathophysiology of new- onset diabetes after transplantation and support the pursuit of therapeutic strategies to protect b cells in the post-transplant period.