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Association Analyses of Known Genetic Variants with Gene
ASSOCIATION ANALYSES OF KNOWN GENETIC VARIANTS WITH GENE EXPRESSION IN BRAIN by Viktoriya Strumba A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Bioinformatics) in The University of Michigan 2009 Doctoral Committee: Professor Margit Burmeister, Chair Professor Huda Akil Professor Brian D. Athey Assistant Professor Zhaohui S. Qin Research Statistician Thomas Blackwell To Sam and Valentina Dmitriy and Elizabeth ii ACKNOWLEDGEMENTS I would like to thank my advisor Professor Margit Burmeister, who tirelessly guided me though seemingly impassable corridors of graduate work. Throughout my thesis writing period she provided sound advice, encouragement and inspiration. Leading by example, her enthusiasm and dedication have been instrumental in my path to becoming a better scientist. I also would like to thank my co-advisor Tom Blackwell. His careful prodding always kept me on my toes and looking for answers, which taught me the depth of careful statistical analysis. His diligence and dedication have been irreplaceable in most difficult of projects. I also would like to thank my other committee members: Huda Akil, Brian Athey and Steve Qin as well as David States. You did not make it easy for me, but I thank you for believing and not giving up. Huda’s eloquence in every subject matter she explained have been particularly inspiring, while both Huda’s and Brian’s valuable advice made the completion of this dissertation possible. I would also like to thank all the members of the Burmeister lab, both past and present: Sandra Villafuerte, Kristine Ito, Cindy Schoen, Karen Majczenko, Ellen Schmidt, Randi Burns, Gang Su, Nan Xiang and Ana Progovac. -
Universidade Estadual De Campinas Instituto De Biologia
UNIVERSIDADE ESTADUAL DE CAMPINAS INSTITUTO DE BIOLOGIA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA CAMPINAS 2016 1 VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA Dissertação apresentada ao Instituto de Biologia da Universidade Estadual de Campinas como parte dos requisitos exigidos para a obtenção do Título de Mestra em Biologia Funcional e Molecular na área de concentração de Bioquímica. Dissertation presented to the Institute of Biology of the University of Campinas in partial fulfillment of the requirements for the degree of Master in Functional and Molecular Biology, in the area of Biochemistry. ESTE ARQUIVO DIGITAL CORRESPONDE À VERSÃO FINAL DA DISSERTAÇÃO DEFENDIDA PELA ALUNA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA E ORIENTADA PELO DANIEL MARTINS-DE-SOUZA. Orientador: Daniel Martins-de-Souza CAMPINAS 2016 2 Agência(s) de fomento e nº(s) de processo(s): CNPq, 151787/2F2014-0 Ficha catalográfica Universidade Estadual de Campinas Biblioteca do Instituto de Biologia Mara Janaina de Oliveira - CRB 8/6972 Saia-Cereda, Verônica Aparecida Monteiro, 1988- Sa21p O proteoma do corpo caloso da esquizofrenia / Verônica Aparecida Monteiro Saia Cereda. – Campinas, SP : [s.n.], 2016. Orientador: Daniel Martins de Souza. Dissertação (mestrado) – Universidade Estadual de Campinas, Instituto de Biologia. 1. Esquizofrenia. 2. Espectrometria de massas. 3. Corpo caloso. -
Human Periprostatic Adipose Tissue: Secretome from Patients With
CANCER GENOMICS & PROTEOMICS 16 : 29-58 (2019) doi:10.21873/cgp.20110 Human Periprostatic Adipose Tissue: Secretome from Patients With Prostate Cancer or Benign Prostate Hyperplasia PAULA ALEJANDRA SACCA 1, OSVALDO NÉSTOR MAZZA 2, CARLOS SCORTICATI 2, GONZALO VITAGLIANO 3, GABRIEL CASAS 4 and JUAN CARLOS CALVO 1,5 1Institute of Biology and Experimental Medicine (IBYME), CONICET, Buenos Aires, Argentina; 2Department of Urology, School of Medicine, University of Buenos Aires, Clínical Hospital “José de San Martín”, Buenos Aires, Argentina; 3Department of Urology, Deutsches Hospital, Buenos Aires, Argentina; 4Department of Pathology, Deutsches Hospital, Buenos Aires, Argentina; 5Department of Biological Chemistry, School of Exact and Natural Sciences, University of Buenos Aires, Buenos Aires, Argentina Abstract. Background/Aim: Periprostatic adipose tissue Prostate cancer (PCa) is the second most common cancer in (PPAT) directs tumour behaviour. Microenvironment secretome men worldwide. While most men have indolent disease, provides information related to its biology. This study was which can be treated properly, the problem consists in performed to identify secreted proteins by PPAT, from both reliably distinguishing between indolent and aggressive prostate cancer and benign prostate hyperplasia (BPH) disease. Evidence shows that the microenvironment affects patients. Patients and Methods: Liquid chromatography-mass tumour behavior. spectrometry-based proteomic analysis was performed in Adipose tissue microenvironment is now known to direct PPAT-conditioned media (CM) from patients with prostate tumour growth, invasion and metastases (1, 2). Adipose cancer (CMs-T) (stage T3: CM-T3, stage T2: CM-T2) or tissue is adjacent to the prostate gland and the site of benign disease (CM-BPH). Results: The highest number and invasion of PCa. -
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. -
Myosin Motors: Novel Regulators and Therapeutic Targets in Colorectal Cancer
cancers Review Myosin Motors: Novel Regulators and Therapeutic Targets in Colorectal Cancer Nayden G. Naydenov 1, Susana Lechuga 1, Emina H. Huang 2 and Andrei I. Ivanov 1,* 1 Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44195, USA; [email protected] (N.G.N.); [email protected] (S.L.) 2 Departments of Cancer Biology and Colorectal Surgery, Cleveland Clinic Foundation, Cleveland, OH 44195, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-216-445-5620 Simple Summary: Colorectal cancer (CRC) is a deadly disease that may go undiagnosed until it presents at an advanced metastatic stage for which few interventions are available. The develop- ment and metastatic spread of CRC is driven by remodeling of the actin cytoskeleton in cancer cells. Myosins represent a large family of actin motor proteins that play key roles in regulating actin cytoskeleton architecture and dynamics. Different myosins can move and cross-link actin filaments, attach them to the membrane organelles and translocate vesicles along the actin filaments. These diverse activities determine the key roles of myosins in regulating cell proliferation, differ- entiation and motility. Either mutations or the altered expression of different myosins have been well-documented in CRC; however, the roles of these actin motors in colon cancer development remain poorly understood. The present review aims at summarizing the evidence that implicate myosin motors in regulating CRC growth and metastasis and discusses the mechanisms underlying the oncogenic and tumor-suppressing activities of myosins. Abstract: Colorectal cancer (CRC) remains the third most common cause of cancer and the second most common cause of cancer deaths worldwide. -
Insights from Conventional and Unconventional Myosins A
Structure-Function Analysis of Motor Proteins: Insights from Conventional and Unconventional Myosins A Thesis SUBMITTED TO THE FACULTY OF UNIVERSITY OF MINNESOTA BY Karl J. Petersen IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Margaret A. Titus, Advisor David D. Thomas, Co-Advisor December 2016 © Karl J. Petersen 2016 Acknowledgements This thesis would not exist without the patient support of my advisors, Meg Titus and Dave Thomas. Any shortcomings are my own. Collaborators Holly Goodson, Anne Houdusse, and Gant Luxton also provided invaluable training and support. I am also grateful for essential services provided by departmental staff: Sarah Blakely Anderson, Octavian Cornea, Sarah Dittrich, Karen Hawkinson, Michelle Lewis, Mary Muwahid, Laurie O’Neill, Darlene Toedter, with apologies to others not listed. Thanks to friends and colleagues at the University of Minnesota: Ashley Arthur, Kelly Bower, Brett Colson, Sinziana Cornea, Chi Meng Fong, Greg Gillispie, Piyali Guhathakurta, Tejas Gupte, Tom Hays, Norma Jiménez Ramírez, Dawn Lowe, Allison MacLean, Santiago Martínez Cifuentes, Jared Matzke, Megan McCarthy, Joachim Mueller, Joe Muretta, Kurt Peterson, Mary Porter, Ewa Prochniewicz, Mike Ritt, Cosmo Saunders, Shiv Sivaramakrishnan, Ruth Sommese, Doug Tritschler, Brian Woolums. i Abstract Myosin motor proteins play fundamental roles in a multitude of cellular processes. Myosin generates force on cytoskeletal actin filaments to control cell shape, most dramatically during cytokinesis, and has a conserved role in defining cell polarity. Myosin contracts the actin cytoskeleton, ensuring prompt turnover of cellular adhesion sites, retracting the cell body during migration and development, and contracting muscle among diverse other functions. How myosins work, and why force generation is essential for their function, is in many cases an open question. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Transdifferentiation of Chicken Embryonic Cells Into Muscle Cells by the 3' Untranslated Region of Muscle Tropomyosin THOMAS J
Proc. Natl. Acad. Sci. USA Vol. 92, pp. 7520-7524, August 1995 Cell Biology Transdifferentiation of chicken embryonic cells into muscle cells by the 3' untranslated region of muscle tropomyosin THOMAS J. L'ECUYER*, PAUL C. TOMPACHt, ERIC MORRISt, AND ALICE B. FULTON*§ Departments of tBiochemistry, tOral and Maxillofacial Surgery, and *Pediatrics, University of Iowa, Iowa City, IA 52242 Communicated by Sheldon Penman, Massachusetts Institute of Technology, Cambridge, MA, May 3, 1995 ABSTRACT Transfection with a plasmid encoding the 3' Drosophila pattern formation is influenced by the 3' UTRs untranslated region (3' UTR) of skeletal muscle tropomyosin of nanos (23) and bicoid (24). The posterior determinant induces chicken embryonic fibroblasts to express skeletal nanos, important in abdominal segmentation, exerts its effect tropomyosin. Such cells become spindle shaped, fuse, and by its 3' UTR inhibiting maternal hb gene expression. Dro- express titin, a marker of striated muscle differentiation. sophila embryos acquire anterior-position determination by a Skeletal muscle tropomyosin and titin organize in sarcomeric gradient of bicoid protein; this gradient requires the 3' UTR arrays. When the tropomyosin 3' UTR is expressed in osteo- of bicoid mRNA. blasts, less skeletal muscle tropomyosin is expressed, and titin A 3' UTR can affect mineral metabolism. Eukaryotic sel- expression is delayed. Some transfected osteoblasts become enoproteins have sites within the 3' UTR that are critical for spindle shaped but do not fuse nor organize these proteins into selenocysteine incorporation in the coding region (25). An sarcomeres. Transfected cells expressing muscle tropomyosin iron response element within the ferritin and transferrin organize muscle and nonmuscle isoforms into the same struc- receptor transcripts allows the expression of these genes to be tures. -
Intrinsic Indicators for Specimen Degradation
Laboratory Investigation (2013) 93, 242–253 & 2013 USCAP, Inc All rights reserved 0023-6837/13 $32.00 Intrinsic indicators for specimen degradation Jie Li1, Catherine Kil1, Kelly Considine1, Bartosz Smarkucki1, Michael C Stankewich1, Brian Balgley2 and Alexander O Vortmeyer1 Variable degrees of molecular degradation occur in human surgical specimens before clinical examination and severely affect analytical results. We therefore initiated an investigation to identify protein markers for tissue degradation assessment. We exposed 4 cell lines and 64 surgical/autopsy specimens to defined periods of time at room temperature before procurement (experimental cold ischemic time (CIT)-dependent tissue degradation model). Using two-dimen- sional fluorescence difference gel electrophoresis in conjunction with mass spectrometry, we performed comparative proteomic analyses on cells at different CIT exposures and identified proteins with CIT-dependent changes. The results were validated by testing clinical specimens with western blot analysis. We identified 26 proteins that underwent dynamic changes (characterized by continuous quantitative changes, isoelectric changes, and/or proteolytic cleavages) in our degradation model. These changes are strongly associated with the length of CIT. We demonstrate these proteins to represent universal tissue degradation indicators (TDIs) in clinical specimens. We also devised and implemented a unique degradation measure by calculating the quantitative ratio between TDIs’ intact forms and their respective degradation- -
Cldn19 Clic2 Clmp Cln3
NewbornDx™ Advanced Sequencing Evaluation When time to diagnosis matters, the NewbornDx™ Advanced Sequencing Evaluation from Athena Diagnostics delivers rapid, 5- to 7-day results on a targeted 1,722-genes. A2ML1 ALAD ATM CAV1 CLDN19 CTNS DOCK7 ETFB FOXC2 GLUL HOXC13 JAK3 AAAS ALAS2 ATP1A2 CBL CLIC2 CTRC DOCK8 ETFDH FOXE1 GLYCTK HOXD13 JUP AARS2 ALDH18A1 ATP1A3 CBS CLMP CTSA DOK7 ETHE1 FOXE3 GM2A HPD KANK1 AASS ALDH1A2 ATP2B3 CC2D2A CLN3 CTSD DOLK EVC FOXF1 GMPPA HPGD K ANSL1 ABAT ALDH3A2 ATP5A1 CCDC103 CLN5 CTSK DPAGT1 EVC2 FOXG1 GMPPB HPRT1 KAT6B ABCA12 ALDH4A1 ATP5E CCDC114 CLN6 CUBN DPM1 EXOC4 FOXH1 GNA11 HPSE2 KCNA2 ABCA3 ALDH5A1 ATP6AP2 CCDC151 CLN8 CUL4B DPM2 EXOSC3 FOXI1 GNAI3 HRAS KCNB1 ABCA4 ALDH7A1 ATP6V0A2 CCDC22 CLP1 CUL7 DPM3 EXPH5 FOXL2 GNAO1 HSD17B10 KCND2 ABCB11 ALDOA ATP6V1B1 CCDC39 CLPB CXCR4 DPP6 EYA1 FOXP1 GNAS HSD17B4 KCNE1 ABCB4 ALDOB ATP7A CCDC40 CLPP CYB5R3 DPYD EZH2 FOXP2 GNE HSD3B2 KCNE2 ABCB6 ALG1 ATP8A2 CCDC65 CNNM2 CYC1 DPYS F10 FOXP3 GNMT HSD3B7 KCNH2 ABCB7 ALG11 ATP8B1 CCDC78 CNTN1 CYP11B1 DRC1 F11 FOXRED1 GNPAT HSPD1 KCNH5 ABCC2 ALG12 ATPAF2 CCDC8 CNTNAP1 CYP11B2 DSC2 F13A1 FRAS1 GNPTAB HSPG2 KCNJ10 ABCC8 ALG13 ATR CCDC88C CNTNAP2 CYP17A1 DSG1 F13B FREM1 GNPTG HUWE1 KCNJ11 ABCC9 ALG14 ATRX CCND2 COA5 CYP1B1 DSP F2 FREM2 GNS HYDIN KCNJ13 ABCD3 ALG2 AUH CCNO COG1 CYP24A1 DST F5 FRMD7 GORAB HYLS1 KCNJ2 ABCD4 ALG3 B3GALNT2 CCS COG4 CYP26C1 DSTYK F7 FTCD GP1BA IBA57 KCNJ5 ABHD5 ALG6 B3GAT3 CCT5 COG5 CYP27A1 DTNA F8 FTO GP1BB ICK KCNJ8 ACAD8 ALG8 B3GLCT CD151 COG6 CYP27B1 DUOX2 F9 FUCA1 GP6 ICOS KCNK3 ACAD9 ALG9 -
Ahn Supp. Fig. 1 AB 1.5 ARRDC4 1.5 ARRDC4 * * * 1.0 1.0
Ahn_Supp. Fig. 1 AB 1.5 ARRDC4 1.5 ARRDC4 * * * 1.0 1.0 * * 0.5 * 0.5 * * * Relative mRNA levels mRNA Relative Relative mRNA levels mRNA Relative 0.0 0.0 1.5 MLXIP (MondoA) 1.5 MLXIP (MondoA) 1.0 1.0 0.5 0.5 Relative mRNA levels mRNA Relative Relative mRNA levels mRNA Relative 0.0 0.0 MondoA MondoA 0124824 Starvation (6h) -++++++ Glucose Starvation (h) Refeeding (h) --0.51248 C 1.5 ARRDC4 1.5 MLXIP (MondoA) † Con # KD 1.0 1.0 0.5 0.5 * * * * Relative mRNA levels mRNA Relative Relative mRNA levels mRNA Relative * * 0.0 0.0 BasalStarvation Refeeding BasalStarvation Refeeding MondoA Con + + - - + + - - + + - - KD - - + + - - + + - - + + BasalStarvation Refeeding Supplemental Figure 1. Glucose-mediated regulation of ARRDC4 is dependent on MondoA in human skeletal myotubes. (A) (top) ARRDC4 and MLXIP (MondoA) mRNA levels were determined by qRT-PCR in human skeletal myotubes following deprivation of glucose at the indicated time (n=4). (bottom) Representative Western blot analysis of MondoA demonstrating the effect of glucose deprivation. *p<0.05 vs. 0h. (B) (top) ARRDC4 and MLXIP (MondoA) expression in human myotubes following a 6h glucose removal and refeeding at the times indicated (n=4). (bottom) Corresponding Western blot analysis. *p<0.05 vs Starvation 6h. (C) (top) Expression of ARRDC4 and MLXIP in human myotubes following deprivation and refeeding of glucose in the absence or presence of siRNA-mediated MondoA KD (n=4). (bottom) Corresponding Western blot analysis. *p<0.05 vs siControl. # p<0.05. § p<0.05. The data represents mean ± SD. All statistical significance determined by one-way ANOVA with Tukey multiple comparison post-hoc test. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7,