Early Diagnosis of Colorectal Cancer Via Plasma Proteomic Analysis of CRC and Advanced Adenomatous Polyp
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Label-Free Proteomic Methodology for the Analysis of Human Kidney Stone Matrix Composition Frank A
Witzmann et al. Proteome Science (2016) 14:4 DOI 10.1186/s12953-016-0093-x METHODOLOGY Open Access Label-free proteomic methodology for the analysis of human kidney stone matrix composition Frank A. Witzmann1*, Andrew P. Evan2, Fredric L. Coe3, Elaine M. Worcester3, James E. Lingeman4 and James C. Williams Jr2 Abstract Background: Kidney stone matrix protein composition is an important yet poorly understood aspect of nephrolithiasis. We hypothesized that this proteome is considerably more complex than previous reports have indicated and that comprehensive proteomic profiling of the kidney stone matrix may demonstrate relevant constitutive differences between stones. We have analyzed the matrices of two unique human calcium oxalate stones (CaOx-Ia and CaOx-Id) using a simple but effective chaotropic reducing solution for extraction/solubilization combined with label-free quantitative mass spectrometry to generate a comprehensive profile of their proteomes, including physicochemical and bioinformatic analysis.` Results: We identified and quantified 1,059 unique protein database entries in the two human kidney stone samples, revealing a more complex proteome than previously reported. Protein composition reflects a common range of proteins related to immune response, inflammation, injury, and tissue repair, along with a more diverse set of proteins unique to each stone. Conclusion: The use of a simple chaotropic reducing solution and moderate sonication for extraction and solubilization of kidney stone powders combined with label-free quantitative mass spectrometry has yielded the most comprehensive list to date of the proteins that constitute the human kidney stone proteome. Keywords: Calcium oxalate, Kidney stone, Label-free quantitative liquid chromatography–tandem mass spectrometry, Matrix protein, Nephrolithiasis, Proteomics Background deposition is the primary event, at least in the formation The organic matrix within urinary stones has long been of CaOx stones over plaque. -
Russell Doolittle Biochemistry Laboratory Records
http://oac.cdlib.org/findaid/ark:/13030/tf0v19n7xm No online items Russell Doolittle Biochemistry Laboratory Records Special Collections & Archives, UC San Diego Special Collections & Archives, UC San Diego Copyright 2005 9500 Gilman Drive La Jolla 92093-0175 [email protected] URL: http://libraries.ucsd.edu/collections/sca/index.html Russell Doolittle Biochemistry MSS 0077 1 Laboratory Records Descriptive Summary Languages: English Contributing Institution: Special Collections & Archives, UC San Diego 9500 Gilman Drive La Jolla 92093-0175 Title: Russell Doolittle Biochemistry Laboratory Records Identifier/Call Number: MSS 0077 Physical Description: 87.4 Linear feet (83 records cartons, 8 archives boxes, 16 oversize folders and 1 art bin item) Date (inclusive): 1971 - 1998 Abstract: The records (1971-1998) of Dr. Russell F. Doolittle's biochemistry laboratory at the University of California, San Diego include notebooks related to the first determination of the complete sequence of amino acids in the human fibrinogen molecule, paper files for the amino acid sequences contained in the protein sequence data bank called NEWAT, as well as other research, correspondence and Protein Society files. Preferred Citation Russell Doolittle Biochemistry Laboratory Records, MSS 0077. Special Collections & Archives, UC San Diego. Administrative History Dr. Russell F. Doolittle, professor of chemistry at the University of California, San Diego, headed a campus science laboratory that conducts research in the evolutionary and structural aspects of proteins. In 1979, Doolittle's laboratory successfully analyzed the structure of the amino acid sequence for the human fibrinogen molecule. During that study, ten to twenty postdoctoral, graduate and undergraduate researchers worked to pull apart and analyze the amino acid sequences in the alpha, beta and gamma chains of fibrinogen. -
Characterization of Glomerular Extracellular Matrix in Iga Nephropathy by Proteomic Analysis of Laser-Captured Microdissected Gl
Paunas et al. BMC Nephrology (2019) 20:410 https://doi.org/10.1186/s12882-019-1598-1 RESEARCH ARTICLE Open Access Characterization of glomerular extracellular matrix in IgA nephropathy by proteomic analysis of laser-captured microdissected glomeruli Flavia Teodora Ioana Paunas1,2* , Kenneth Finne2, Sabine Leh2,3, Tarig Al-Hadi Osman2, Hans-Peter Marti2,4, Frode Berven5 and Bjørn Egil Vikse1,2 Abstract Background: IgA nephropathy (IgAN) involves mesangial matrix expansion, but the proteomic composition of this matrix is unknown. The present study aimed to characterize changes in extracellular matrix in IgAN. Methods: In the present study we used mass spectrometry-based proteomics in order to quantitatively compare protein abundance between glomeruli of patients with IgAN (n = 25) and controls with normal biopsy findings (n = 15). Results: Using a previously published paper by Lennon et al. and cross-referencing with the Matrisome database we identified 179 extracellular matrix proteins. In the comparison between IgAN and controls, IgAN glomeruli showed significantly higher abundance of extracellular matrix structural proteins (e.g periostin, vitronectin, and extracellular matrix protein 1) and extracellular matrix associated proteins (e.g. azurocidin, myeloperoxidase, neutrophil elastase, matrix metalloproteinase-9 and matrix metalloproteinase 2). Periostin (fold change 3.3) and azurocidin (3.0) had the strongest fold change between IgAN and controls; periostin was also higher in IgAN patients who progressed to ESRD as compared to patients who did not. Conclusion: IgAN is associated with widespread changes of the glomerular extracellular matrix proteome. Proteins important in glomerular sclerosis or inflammation seem to be most strongly increased and periostin might be an important marker of glomerular damage in IgAN. -
An Itraq-Based Quantitative Proteomic Analysis of Plasma Proteins in Preterm Newborns with Retinopathy of Prematurity
CORE Metadata, citation and similar papers at core.ac.uk Provided by Jagiellonian Univeristy Repository Retina An iTRAQ-Based Quantitative Proteomic Analysis of Plasma Proteins in Preterm Newborns With Retinopathy of Prematurity Magdalena Zasada,1 Maciej Suski,2 Renata Bokiniec,3 Monika Szwarc-Duma,3 Maria Katarzyna Borszewska-Kornacka,3 Jozef´ Madej,2 Beata Bujak-Giz˙ycka,2 Anna Madetko-Talowska,4 Cecilie Revhaug,5 Lars O. Baumbusch,5 Ola D. Saugstad,5 Jacek Jozef´ Pietrzyk,1 and Przemko Kwinta1 1Department of Pediatrics, Jagiellonian University Medical College, Krakow, Poland 2Chair of Pharmacology, Jagiellonian University Medical College, Krakow, Poland 3Neonatal and Intensive Care Department, Medical University of Warsaw, Warsaw, Poland 4Department of Medical Genetics, Jagiellonian University Medical College, Krakow, Poland 5Department of Pediatric Research, Oslo University Hospital, University of Oslo, Oslo, Norway Correspondence: Przemko Kwinta, PURPOSE. Retinopathy of prematurity (ROP) is a vision-threatening complication of a Department of Pediatrics, Jagiello- premature birth, in which the etiology still remains unclear. Importantly, the molecular nian University Medical College, processes that govern these effects can be investigated in a perturbed plasma proteome Wielicka 265, Krakow 30-663, Po- composition. Thus, plasma proteomics may add new insights into a better understanding of land; the pathogenesis of this disease. [email protected]. Submitted: June 15, 2018 METHODS. The cord and peripheral blood of neonates (30 weeks gestational age) was drawn Accepted: August 9, 2018 at birth and at the 36th postmenstrual week (PMA), respectively. Blood samples were retrospectively subdivided into ROP(þ) and ROP(À) groups, according to the development of Citation: Zasada M, Suski M, Bokiniec ROP. -
High-Throughput Bioinformatics Approaches to Understand Gene Expression Regulation in Head and Neck Tumors
High-throughput bioinformatics approaches to understand gene expression regulation in head and neck tumors by Yanxiao Zhang A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Bioinformatics) in The University of Michigan 2016 Doctoral Committee: Associate Professor Maureen A. Sartor, Chair Professor Thomas E. Carey Assistant Professor Hui Jiang Professor Ronald J. Koenig Associate Professor Laura M. Rozek Professor Kerby A. Shedden c Yanxiao Zhang 2016 All Rights Reserved I dedicate this thesis to my family. For their unfailing love, understanding and support. ii ACKNOWLEDGEMENTS I would like to express my gratitude to Dr. Maureen Sartor for her guidance in my research and career development. She is a great mentor. She patiently taught me when I started new in this field, granted me freedom to explore and helped me out when I got lost. Her dedication to work, enthusiasm in teaching, mentoring and communicating science have inspired me to feel the excite- ment of research beyond novel scientific discoveries. I’m also grateful to have an interdisciplinary committee. Their feedback on my research progress and presentation skills is very valuable. In particular, I would like to thank Dr. Thomas Carey and Dr. Laura Rozek for insightful discussions on the biology of head and neck cancers and human papillomavirus, Dr. Ronald Koenig for expert knowledge on thyroid cancers, Dr. Hui Jiang and Dr. Kerby Shedden for feedback on the statistics part of my thesis. I would like to thank all the past and current members of Sartor lab for making the lab such a lovely place to stay and work in. -
Comparative Transcriptome Profiling of Selected Osmotic Regulatory Proteins in the Gill During Seawater Acclimation of Chum Salm
www.nature.com/scientificreports OPEN Comparative transcriptome profling of selected osmotic regulatory proteins in the gill during seawater acclimation of chum salmon (Oncorhynchus keta) fry Sang Yoon Lee 1, Hwa Jin Lee2 & Yi Kyung Kim1,2* Salmonid fshes, chum salmon (Oncorhynchus keta) have the developed adaptive strategy to withstand wide salinity changes from the early life stage. This study investigated gene expression patterns of cell membrane proteins in the gill of chum salmon fry on the transcriptome level by tracking the salinity acclimation of the fsh in changing environments ranging from freshwater (0 ppt) to brackish water (17.5 ppt) to seawater (35 ppt). Using GO analysis of DEGs, the known osmoregulatory genes and their functional groups such as ion transport, transmembrane transporter activity and metal ion binding were identifed. The expression patterns of membrane protein genes, including pump-mediated protein (NKA, CFTR), carrier-mediated protein (NKCC, NHE3) and channel-mediated protein (AQP) were similar to those of other salmonid fshes in the smolt or adult stages. Based on the protein-protein interaction analysis between transmembrane proteins and other related genes, we identifed osmotic-related genes expressed with salinity changes and analyzed their expression patterns. The fndings of this study may facilitate the disentangling of the genetic basis of chum salmon and better able an understanding of the osmophysiology of the species. Salinity is one of the critical factors limiting the distribution patterns of all aquatic organisms1–4. Salmonid fshes display diverse life-history traits; anadromous individuals that mature in the river from hatching through to juveniles acquire the capacity to tolerate salinity associated with parr–smolt transformation and undergo ocean migrations before returning to rivers for spawning, whereas landlocked types spend their entire life within fresh- water5,6. -
Supplementary Material Contents
Supplementary Material Contents Immune modulating proteins identified from exosomal samples.....................................................................2 Figure S1: Overlap between exosomal and soluble proteomes.................................................................................... 4 Bacterial strains:..............................................................................................................................................4 Figure S2: Variability between subjects of effects of exosomes on BL21-lux growth.................................................... 5 Figure S3: Early effects of exosomes on growth of BL21 E. coli .................................................................................... 5 Figure S4: Exosomal Lysis............................................................................................................................................ 6 Figure S5: Effect of pH on exosomal action.................................................................................................................. 7 Figure S6: Effect of exosomes on growth of UPEC (pH = 6.5) suspended in exosome-depleted urine supernatant ....... 8 Effective exosomal concentration....................................................................................................................8 Figure S7: Sample constitution for luminometry experiments..................................................................................... 8 Figure S8: Determining effective concentration ......................................................................................................... -
Gene Mapping and Medical Genetics
J Med Genet: first published as 10.1136/jmg.24.8.451 on 1 August 1987. Downloaded from Gene mapping and medical genetics Journal of Medical Genetics 1987, 24, 451-456 Molecular genetics of human chromosome 16 GRANT R SUTHERLAND*, STEPHEN REEDERSt, VALENTINE J HYLAND*, DAVID F CALLEN*, ANTONIO FRATINI*, AND JOHN C MULLEY* From *the Cytogenetics Unit, Adelaide Children's Hospital, North Adelaide, South Australia 5006; and tUniversity of Oxford, Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Headington, Oxford OX3 9DU. SUMMARY The major diseases mapped to chromosome 16 are adult polycystic kidney disease and those resulting from mutations in the a globin complex. There are at least six other less important genetic diseases which map to this chromosome. The adenine phosphoribosyltransferase gene allows for selection of chromosome 16 in somatic cell hybrids and a hybrid panel is available which segments the chromosome into six regions to facilitate gene mapping. Genes which have been mapped to this chromosome or which have had their location redefined since HGM8 include APRT, TAT, MT, HBA, PKDI, CTRB, PGP, HAGH, HP, PKCB, and at least 19 cloned DNA sequences. There are RFLPs at 13 loci which have been regionally mapped and can be used for linkage studies. Chromosome 16 is not one of the more extensively have been cloned and mapped to this chromosome. mapped human autosomes. However, it has a Brief mention will be made of a hybrid cell panel http://jmg.bmj.com/ number of features which make it attractive to the which allows for an efficient regional localisation of gene mapper. -
Transcriptome Analysis of Sinensetin-Treated Liver Cancer Cells Guided by Biological Network Analysis
ONCOLOGY LETTERS 21: 355, 2021 Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis SEONG MIN KIM1, SHAILIMA RAMPOGU2, PREETHI VETRIVEL1, APOORVA M. KULKARNI2, SANG EUN HA1, HUN HWAN KIM1, KEUN WOO LEE2 and GON SUP KIM1 1Research Institute of Life Science and College of Veterinary Medicine; 2Division of Life Science, Division of Applied Life Science (BK21 Plus), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Natural Science, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea Received July 28, 2020; Accepted February 15, 2021 DOI: 10.3892/ol.2021.12616 Abstract. Hepatocellular carcinoma is recognized as one involved in cancer after SIN treatment in HepG2 cells and may of the most frequently occurring malignant types of liver help to develop strategies targeting these genes for treating cancer globally, making the identification of biomarkers criti‑ liver cancer. cally important. The aim of the present study was to identify the genes involved in the anticancer effects of flavonoid Introduction compounds so that they may be used as targets for cancer treatment. Sinensetin (SIN), an isolated polymethoxyflavone Liver cancer is one of the most common cancers with an monomer compound, possesses broad antitumor activi‑ increasing death rate. Approximately 0.56 million new cases ties in vitro. Therefore, the identification of a transcriptome are reported annually (1). Approximately 50% of patients profile on the condition of cells treated with SIN may aid to during treatment with chemotherapy develop metastasis, thus better understand the genes involved and its mechanism of reducing their survival rate (2). Difficulties in chemothera‑ action. -
An Itraq-Based Quantitative Proteomic Analysis of Plasma Proteins in Preterm Newborns with Retinopathy of Prematurity
Retina An iTRAQ-Based Quantitative Proteomic Analysis of Plasma Proteins in Preterm Newborns With Retinopathy of Prematurity Magdalena Zasada,1 Maciej Suski,2 Renata Bokiniec,3 Monika Szwarc-Duma,3 Maria Katarzyna Borszewska-Kornacka,3 Jozef´ Madej,2 Beata Bujak-Giz˙ycka,2 Anna Madetko-Talowska,4 Cecilie Revhaug,5 Lars O. Baumbusch,5 Ola D. Saugstad,5 Jacek Jozef´ Pietrzyk,1 and Przemko Kwinta1 1Department of Pediatrics, Jagiellonian University Medical College, Krakow, Poland 2Chair of Pharmacology, Jagiellonian University Medical College, Krakow, Poland 3Neonatal and Intensive Care Department, Medical University of Warsaw, Warsaw, Poland 4Department of Medical Genetics, Jagiellonian University Medical College, Krakow, Poland 5Department of Pediatric Research, Oslo University Hospital, University of Oslo, Oslo, Norway Correspondence: Przemko Kwinta, PURPOSE. Retinopathy of prematurity (ROP) is a vision-threatening complication of a Department of Pediatrics, Jagiello- premature birth, in which the etiology still remains unclear. Importantly, the molecular nian University Medical College, processes that govern these effects can be investigated in a perturbed plasma proteome Wielicka 265, Krakow 30-663, Po- composition. Thus, plasma proteomics may add new insights into a better understanding of land; the pathogenesis of this disease. [email protected]. Submitted: June 15, 2018 METHODS. The cord and peripheral blood of neonates (30 weeks gestational age) was drawn Accepted: August 9, 2018 at birth and at the 36th postmenstrual week (PMA), respectively. Blood samples were retrospectively subdivided into ROP(þ) and ROP(À) groups, according to the development of Citation: Zasada M, Suski M, Bokiniec ROP. R, et al. An iTRAQ-based quantitative proteomic analysis of plasma proteins RESULTS. -
The T(6;16)(P21;Q22) Chromosome Translocation in the Lncap Prostate Carcinoma Cell Line Results in a Tpc/Hpr Fusion Gene'
CANCERRESEARCH56.728-732.February15. 9961 Advances in Brief The t(6;16)(p21;q22) Chromosome Translocation in the LNCaP Prostate Carcinoma Cell Line Results in a tpc/hpr Fusion Gene' Maria Luisa Veronese, Florencia Bulinch, Massimo Negrini, and Carlo M. Croce2 Jefferson Cancer Center, Jefferson Cancer Institute and Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107 Abstract level. We have found that the translocation results in fusion of the hpr gene on chromosome 16 to the tpc gene, a novel gene coding for a Very little is known about the molecular and genetic mechanisms protein similar to nbosomal protein 510. involved in prostate cancer.Previousstudieshaveshownfrequent lossof heterozygosity(40%)at chromosomalregions8p, lOq,and 16q,suggesting thepresenceoftumorsuppressorgenesintheseregions.TheLNCaP cell Materials and Methods line, establishedfrom a metastaticlesionof human prostatic adenocarci Rodent-Human Hybrids. The hybrids seriesA9LN were obtainedfrom noma,carries a t(6;16)(p21;q22)translocation.To determinewhether this translocation involved genesimportant in the processof malignant trans thefusionof thehumanprostatecarcinomacellline LNCaPandthemouseA9 formation, weclonedand sequencedthet(6;16) breakpoint ofthis cell line. cell line as previously described (15). PCR analysis with primers from both the Sequenceanalysisshowedthat the breakpoint is within the haptoglobin shortandlongarmsof chromosome16wascarriedout in 1 X PCRbufferwith geneclusteron chromosome16,and that, on chromosome6,the break MgCI2 (Boehringer Mannheim) with 100 ng template DNA, 100 ng each of occurs within a novel gene,tpc, similar to the prokaryotic SlO ribosomal forward and reverseprimer, 250 @Mdeoxynucleotidetriphosphates(Perkin protein gene. The translocation results in the production of a fusion Elmer/Cetus), and 0.5 units of Taq DNA polymerase (Boehringer Mannheim) transcript, tpc/hpr. -
Predicting Environmental Chemical Factors Associated with Disease-Related Gene Expression Data
UCSF UC San Francisco Previously Published Works Title Predicting environmental chemical factors associated with disease-related gene expression data. Permalink https://escholarship.org/uc/item/1kj3j6m8 Journal BMC medical genomics, 3(1) ISSN 1755-8794 Authors Patel, Chirag J Butte, Atul J Publication Date 2010-05-06 DOI 10.1186/1755-8794-3-17 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Patel and Butte BMC Medical Genomics 2010, 3:17 http://www.biomedcentral.com/1755-8794/3/17 RESEARCH ARTICLE Open Access PredictingResearch article environmental chemical factors associated with disease-related gene expression data Chirag J Patel1,2,3 and Atul J Butte*1,2,3 Abstract Background: Many common diseases arise from an interaction between environmental and genetic factors. Our knowledge regarding environment and gene interactions is growing, but frameworks to build an association between gene-environment interactions and disease using preexisting, publicly available data has been lacking. Integrating freely-available environment-gene interaction and disease phenotype data would allow hypothesis generation for potential environmental associations to disease. Methods: We integrated publicly available disease-specific gene expression microarray data and curated chemical- gene interaction data to systematically predict environmental chemicals associated with disease. We derived chemical- gene signatures for 1,338 chemical/environmental chemicals from the Comparative Toxicogenomics Database (CTD). We associated these chemical-gene signatures with differentially expressed genes from datasets found in the Gene Expression Omnibus (GEO) through an enrichment test. Results: We were able to verify our analytic method by accurately identifying chemicals applied to samples and cell lines. Furthermore, we were able to predict known and novel environmental associations with prostate, lung, and breast cancers, such as estradiol and bisphenol A.