A Genome Model Linking Birth Defects to Infections
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Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
The N-Cadherin Interactome in Primary Cardiomyocytes As Defined Using Quantitative Proximity Proteomics Yang Li1,*, Chelsea D
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs221606. doi:10.1242/jcs.221606 TOOLS AND RESOURCES The N-cadherin interactome in primary cardiomyocytes as defined using quantitative proximity proteomics Yang Li1,*, Chelsea D. Merkel1,*, Xuemei Zeng2, Jonathon A. Heier1, Pamela S. Cantrell2, Mai Sun2, Donna B. Stolz1, Simon C. Watkins1, Nathan A. Yates1,2,3 and Adam V. Kwiatkowski1,‡ ABSTRACT requires multiple adhesion, cytoskeletal and signaling proteins, The junctional complexes that couple cardiomyocytes must transmit and mutations in these proteins can cause cardiomyopathies (Ehler, the mechanical forces of contraction while maintaining adhesive 2018). However, the molecular composition of ICD junctional homeostasis. The adherens junction (AJ) connects the actomyosin complexes remains poorly defined. – networks of neighboring cardiomyocytes and is required for proper The core of the AJ is the cadherin catenin complex (Halbleib and heart function. Yet little is known about the molecular composition of the Nelson, 2006; Ratheesh and Yap, 2012). Classical cadherins are cardiomyocyte AJ or how it is organized to function under mechanical single-pass transmembrane proteins with an extracellular domain that load. Here, we define the architecture, dynamics and proteome of mediates calcium-dependent homotypic interactions. The adhesive the cardiomyocyte AJ. Mouse neonatal cardiomyocytes assemble properties of classical cadherins are driven by the recruitment of stable AJs along intercellular contacts with organizational and cytosolic catenin proteins to the cadherin tail, with p120-catenin β structural hallmarks similar to mature contacts. We combine (CTNND1) binding to the juxta-membrane domain and -catenin β quantitative mass spectrometry with proximity labeling to identify the (CTNNB1) binding to the distal part of the tail. -
Contiguous Deletion of the NDP, MAOA, MAOB, and EFHC2 Genes in a Patient with Norrie Disease, Severe Psychomotor Retardation and Myoclonic Epilepsy
ß 2007 Wiley-Liss, Inc. American Journal of Medical Genetics Part A 143A:916–920 (2007) Contiguous Deletion of the NDP, MAOA, MAOB, and EFHC2 Genes in a Patient With Norrie Disease, Severe Psychomotor Retardation and Myoclonic Epilepsy L. Rodriguez-Revenga,1,2 I. Madrigal,1,2 L.S. Alkhalidi,3 L. Armengol,4 E. Gonza´lez,4 C. Badenas,1,2 X. Estivill,1,5 and M. Mila`1,2* 1Biochemistry and Molecular Genetics Department, Hospital Clı´nic, Barcelona, Spain 2IDIBAPS (Institut d’Investigacions Biome`diques August Pi i Sunyer), Barcelona, Spain 3Department of Health and Medical Services, Rashid Hospital, Dubai, United Arab Emirates 4Genes and Disease Programme, Centre for Genomic Regulation (CRG), Barcelona Biomedical Research Park, Barcelona, Spain 5Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain Received 20 February 2006; Accepted 7 September 2006 Norrie disease (ND) is an X-linked disorder, inherited as a Clinical features of the proband include bilateral retinal recessive trait that, therefore, mostly affects males. The gene detachment, microcephaly, severe psychomotor retardation responsible for ND, called NDP, maps to the short arm of without verbal language skills acquired, and epilepsy. The chromosome X (Xp11.4-p11.3). We report here an atypical identification and molecular characterization of this case case of ND, consisting of a patient harboring a large reinforces the idea of a new contiguous gene syndrome that submicroscopic deletion affecting not only the NDP gene would explain the complex phenotype shared by atypical but also the MAOA, MAOB, and EFHC2 genes. Microarray ND patients. ß 2007 Wiley-Liss, Inc. -
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. -
Primate Specific Retrotransposons, Svas, in the Evolution of Networks That Alter Brain Function
Title: Primate specific retrotransposons, SVAs, in the evolution of networks that alter brain function. Olga Vasieva1*, Sultan Cetiner1, Abigail Savage2, Gerald G. Schumann3, Vivien J Bubb2, John P Quinn2*, 1 Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, U.K 2 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK 3 Division of Medical Biotechnology, Paul-Ehrlich-Institut, Langen, D-63225 Germany *. Corresponding author Olga Vasieva: Institute of Integrative Biology, Department of Comparative genomics, University of Liverpool, Liverpool, L69 7ZB, [email protected] ; Tel: (+44) 151 795 4456; FAX:(+44) 151 795 4406 John Quinn: Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK, [email protected]; Tel: (+44) 151 794 5498. Key words: SVA, trans-mobilisation, behaviour, brain, evolution, psychiatric disorders 1 Abstract The hominid-specific non-LTR retrotransposon termed SINE–VNTR–Alu (SVA) is the youngest of the transposable elements in the human genome. The propagation of the most ancient SVA type A took place about 13.5 Myrs ago, and the youngest SVA types appeared in the human genome after the chimpanzee divergence. Functional enrichment analysis of genes associated with SVA insertions demonstrated their strong link to multiple ontological categories attributed to brain function and the disorders. SVA types that expanded their presence in the human genome at different stages of hominoid life history were also associated with progressively evolving behavioural features that indicated a potential impact of SVA propagation on a cognitive ability of a modern human. -
Protein Localization Screening in Vivo Reveals Novel Regulators of Multiciliated Cell Development and Function Fan Tu1, Jakub Sedzinski1,2, Yun Ma1,3, Edward M
© 2018. Published by The Company of Biologists Ltd | Journal of Cell Science (2018) 131, jcs206565. doi:10.1242/jcs.206565 SHORT REPORT Protein localization screening in vivo reveals novel regulators of multiciliated cell development and function Fan Tu1, Jakub Sedzinski1,2, Yun Ma1,3, Edward M. Marcotte1 and John B. Wallingford1,* ABSTRACT RESULTS AND DISCUSSION Multiciliated cells (MCCs) drive fluid flow in diverse tubular organs High-content screening of protein localization in MCCs in vivo and are essential for the development and homeostasis of the vertebrate central nervous system, airway and reproductive tracts. High-content screening of protein localization is a powerful These cells are characterized by dozens or hundreds of motile cilia approach for linking genomics to cell biology (Boutros et al., Xenopus that beat in a coordinated and polarized manner. In recent years, 2015), so we turned to embryos, where the epidermis genomic studies have not only elucidated the transcriptional develops as a mix of MCCs and mucus-secreting cells similar to in hierarchy for MCC specification but also identified myriad new the mammalian airway (Hayes et al., 2007; Walentek and Quigley, proteins that govern MCC ciliogenesis, cilia beating and cilia 2017; Werner and Mitchell, 2011). Molecular mechanisms of MCC Xenopus polarization. Interestingly, this burst of genomic data has also development and function are highly conserved between highlighted that proteins with no obvious role in cilia do, in fact, have and mammals, including humans (e.g. Boon et al., 2014; Toriyama important ciliary functions. Understanding the function of proteins et al., 2016; Wallmeier et al., 2014, 2016; Zariwala et al., 2013), and Xenopus with little prior history of study presents a special challenge, MCCs are very large and present on the external surface of especially when faced with large numbers of such proteins. -
Genome-Wide Meta-Analysis Identifies 127 Open-Angle Glaucoma Loci with Consistent Effect Across Ancestries
UC San Diego UC San Diego Previously Published Works Title Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries. Permalink https://escholarship.org/uc/item/6fn1m7tr Journal Nature communications, 12(1) ISSN 2041-1723 Authors Gharahkhani, Puya Jorgenson, Eric Hysi, Pirro et al. Publication Date 2021-02-24 DOI 10.1038/s41467-020-20851-4 Peer reviewed eScholarship.org Powered by the California Digital Library University of California ARTICLE https://doi.org/10.1038/s41467-020-20851-4 OPEN Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries ✉ Puya Gharahkhani 1,190 , Eric Jorgenson 2,190, Pirro Hysi 3,190, Anthony P. Khawaja 4,5,190, Sarah Pendergrass6,190, Xikun Han 1, Jue Sheng Ong 1, Alex W. Hewitt 7,8, Ayellet V. Segrè9, John M. Rouhana 9, Andrew R. Hamel9, Robert P. Igo Jr 10, Helene Choquet 2, Ayub Qassim11, Navya S. Josyula 12, Jessica N. Cooke Bailey 10,13, Pieter W. M. Bonnemaijer 14,15,16, Adriana Iglesias 14,15,17, Owen M. Siggs 11, Terri L. Young 18, Veronique Vitart 19, 1234567890():,; Alberta A. H. J. Thiadens 14,15, Juha Karjalainen20,21,22, Steffen Uebe23, Ronald B. Melles24, K. Saidas Nair25, Robert Luben 5, Mark Simcoe 3,26,27, Nishani Amersinghe28, Angela J. Cree 29, Rene Hohn30,31, Alicia Poplawski 32, Li Jia Chen33, Shi-Song Rong 9,33, Tin Aung34,35,36, Eranga Nishanthie Vithana 34,37, NEIGHBORHOOD consortium*, ANZRAG consortium*, Biobank Japan project*, FinnGen study*, UK Biobank Eye and Vision Consortium*, GIGA study group*, 23 and Me Research Team*, Gen Tamiya38,39, Yukihiro Shiga40, Masayuki Yamamoto 38, Toru Nakazawa40,41,42,43, Hannah Currant 44, Ewan Birney 44, Xin Wang 45, Adam Auton45, Michelle K. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research. -
Cytogenetic Analysis of a Pseudoangiomatous Pleomorphic/Spindle Cell Lipoma
ANTICANCER RESEARCH 37 : 2219-2223 (2017) doi:10.21873/anticanres.11557 Cytogenetic Analysis of a Pseudoangiomatous Pleomorphic/Spindle Cell Lipoma IOANNIS PANAGOPOULOS 1, LUDMILA GORUNOVA 1, INGVILD LOBMAIER 2, HEGE KILEN ANDERSEN 1, BODIL BJERKEHAGEN 2 and SVERRE HEIM 1,3 1Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway; 2Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway; 3Faculty of Medicine, University of Oslo, Oslo, Norway Abstract. Background: Pseudoangiomatous pleomorphic/ appearance’ (1). To date, only 20 patients have been described spindle cell lipoma is a rare subtype of pleomorphic/spindle in the literature with this diagnosis, 15 of whom were males cell lipoma. Only approximately 20 such tumors have been (1-10). The pseudoangiomatous pleomorphic/spindle cell described. Genetic information on pseudoangiomatous lipomas were mostly found in the neck (seven patients) and pleomorphic/spindle cell lipoma is restricted to a single case shoulders (four patients), but have also been seen in the in which deletion of the forkhead box O1 (FOXO1) gene was cheek, chest, chin, elbow, finger, subscapular region, and found, using fluorescence in situ hybridization (FISH). thumb. Genetic information on pseudoangiomatous Materials and Methods: G-banding and FISH analyses were pleomorphic/ spindle cell lipoma is restricted to one case only performed on a pseudoangiomatous pleomorphic/spindle cell (8) in which fluorescence in situ hybridization (FISH) with a lipoma. Results: G-banding of tumor cells showed complex probe for the forkhead box O1 ( FOXO1 ) gene, which maps karyotypic changes including loss of chromosome 13. FISH to chromosome sub-band 13q14.11, showed a signal pattern analysis revealed that the deleted region contained the RB1 indicating monoallelic loss of the gene in 57% of the gene (13q14.2) and the part of chromosome arm 13q (q14.2- examined cells. -
Submitted As an Original Research Paper to XXXXXX Deletions and De
SOX11 deletions and mutations in human developmental disorders Submitted as an Original Research Paper to XXXXXX Deletions and de novo variants involving SOX11 are associated with a human neurodevelopmental disorder 1 SOX11 deletions and mutations in human developmental disorders Abstract SOX11 is a transcription factor which is proposed to play a role in brain development. A role for SOX11 in human developmental disorders was suggested by a recent report of SOX11 mutations in 2 patients with Coffin-Siris syndrome. Here we further investigate the role of SOX11 variants in neurodevelopmental disorders. We identified 6 individuals with chromosome 2p25 deletions involving SOX11. These individuals had non-syndromic intellectual disability with microcephaly, developmental delay and shared dysmorphic features. We next utilised trio exome sequencing to identify 3 novel de novo SOX11 variants. Two of these individuals had a phenotype compatible with Coffin-Siris syndrome while 1 had non-syndromic intellectual disability. The pathogenicity of these mutations was confirmed using an in vitro gene expression system. To further investigate the role of loss of SOX11 in microcephaly we knocked down SOX11 in xenopus. Morphants had significant reduction in head size compared to controls. This suggests that SOX11 loss of function can be associated with microcephaly. We thus propose that SOX11 deletion or mutation can present with either non-syndromic intellectual disability or a Coffin-Siris phenotype. 2 SOX11 deletions and mutations in human developmental disorders Introduction The vertebrate SOX protein family consists of 30 genes [Pillai-Kastoori et al, 2015]. The SOX genes are classified into 8 subfamilies (SOXA-SOXJ) on the basis of sequence similarity. -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo