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Comparative Gene Expression Profiling of Stromal Cell Matrices
ell Res C ea m rc te h S & f o T h l Journal of Tiwari et al., J Stem Cell Res Ther 2013, 3:4 e a r n a r p u DOI: 10.4172/2157-7633.1000152 y o J ISSN: 2157-7633 Stem Cell Research & Therapy Research Article Open Access Comparative Gene Expression Profiling of Stromal Cell Matrices that Support Expansion of Hematopoietic Stem/Progenitor Cells Abhilasha Tiwari1,2, Christophe Lefevre2, Mark A Kirkland2*, Kevin Nicholas2 and Gopal Pande1* 1CSIR-Centre for Cellular and Molecular Biology (CCMB), Hyderabad, India 2Deakin University, Waurn Ponds, Geelong, VIC, Australia Abstract The bone marrow microenvironment maintains a stable balance between self-renewal and differentiation of hematopoietic stem/progenitor cells (HSPCs). This microenvironment, also termed the “hematopoietic niche”, is primarily composed of stromal cells and their extracellular matrices (ECM) that jointly regulate HSPC functions. Previously, we have demonstrated that umbilical cord blood derived HSPCs can be maintained and expanded on stromal cell derived acellular matrices that mimic the complexity of the hematopoietic niche. The results indicated that matrices prepared at 20% O2 with osteogenic medium (OGM) were best suited for expanding committed HSPCs, whereas, matrices prepared at 5% O2 without OGM were better for primitive progenitors. Based upon these results we proposed that individual constituents of these matrices could be responsible for regulation of specific HSPC functions. To explore this hypothesis, we have performed comparative transcriptome profiling of these matrix producing cells, which identified differential expression of both known niche regulators, such as Wnt4, Angpt2, Vcam and Cxcl12, as well as genes not previously associated with HSPC regulation, such as Depp. -
Supplemental Material Table of Contents
Supplemental material Table of Contents Detailed Materials and Methods ......................................................................................................... 2 Perioperative period ........................................................................................................................... 2 Ethical aspects ................................................................................................................................... 4 Evaluation of heart failure ................................................................................................................. 4 Sample preparation for ANP mRNA expression .................................................................................. 5 Sample preparation for validative qRT-PCR (Postn, Myh7, Gpx3, Tgm2) ............................................ 6 Tissue fibrosis .................................................................................................................................... 7 Ventricular remodeling and histological tissue preservation ................................................................ 8 Evaluation of the histological preservation of cardiac tissue ................................................................ 9 Sample preparation and quantitative label-free proteomics analyses .................................................. 10 Statistical methods ........................................................................................................................... 12 References ........................................................................................................................................ -
A Single-Cell Transcriptional Atlas Identifies Extensive Heterogeneity in the Cellular Composition of Tendons
bioRxiv preprint doi: https://doi.org/10.1101/801266; this version posted October 10, 2019. 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. A single-cell transcriptional atlas identifies extensive heterogeneity in the cellular composition of tendons Jacob B Swanson1, Andrea J De Micheli2, Nathaniel P Disser1, Leandro M Martinez1, Nicholas R Walker1,3, Benjamin D Cosgrove2, Christopher L Mendias1,3,* 1Hospital for Special Surgery, New York, NY, USA 2Meining School of Biomedical Engineering, Cornell University, Ithaca, NY, USA 3Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA *Corresponding Author Christopher Mendias, PhD Hospital for Special Surgery 535 E 70th St New York, NY 10021 USA +1 212-606-1785 [email protected] Keywords: tenocyte; tendon fibroblast; pericyte; single-cell RNA sequencing bioRxiv preprint doi: https://doi.org/10.1101/801266; this version posted October 10, 2019. 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. Abstract Tendon is a dense, hypocellular connective tissue that transmits forces between muscles and bones. Cellular heterogeneity is increasingly recognized as an important factor in the biological basis of tissue homeostasis and disease, but little is known about the diversity of cells that populate tendon. Our objective was to explore the heterogeneity of cells in mouse Achilles tendons using single-cell RNA sequencing. We identified 13 unique cell types in tendons, including 4 previously undescribed populations of fibroblasts. -
Dickkopf-1 Promotes Hematopoietic Regeneration Via Direct and Niche-Mediated Mechanisms
ARTICLES Dickkopf-1 promotes hematopoietic regeneration via direct and niche-mediated mechanisms Heather A Himburg1,7, Phuong L Doan2,7, Mamle Quarmyne1,3, Xiao Yan1,3, Joshua Sasine1, Liman Zhao1, Grace V Hancock4, Jenny Kan1, Katherine A Pohl1, Evelyn Tran1, Nelson J Chao2, Jeffrey R Harris2 & John P Chute1,5,6 The role of osteolineage cells in regulating hematopoietic stem cell (HSC) regeneration following myelosuppression is not well understood. Here we show that deletion of the pro-apoptotic genes Bak and Bax in osterix (Osx, also known as Sp7 transcription factor 7)-expressing cells in mice promotes HSC regeneration and hematopoietic radioprotection following total body irradiation. These mice showed increased bone marrow (BM) levels of the protein dickkopf-1 (Dkk1), which was produced in Osx-expressing BM cells. Treatment of irradiated HSCs with Dkk1 in vitro increased the recovery of both long-term repopulating HSCs and progenitor cells, and systemic administration of Dkk1 to irradiated mice increased hematopoietic recovery and improved survival. Conversely, inducible deletion of one allele of Dkk1 in Osx-expressing cells in adult mice inhibited the recovery of BM stem and progenitor cells and of complete blood counts following irradiation. Dkk1 promoted hematopoietic regeneration via both direct effects on HSCs, in which treatment with Dkk1 decreased the levels of mitochondrial reactive oxygen species and suppressed senescence, and indirect effects on BM endothelial cells, in which treatment with Dkk1 induced epidermal growth factor (EGF) secretion. Accordingly, blockade of the EGF receptor partially abrogated Dkk1-mediated hematopoietic recovery. These data identify Dkk1 as a regulator of hematopoietic regeneration and demonstrate paracrine cross-talk between BM osteolineage cells and endothelial cells in regulating hematopoietic reconstitution following injury. -
Supporting Online Material
1 2 3 4 5 6 7 Supplementary Information for 8 9 Fractalkine-induced microglial vasoregulation occurs within the retina and is altered early in diabetic 10 retinopathy 11 12 *Samuel A. Mills, *Andrew I. Jobling, *Michael A. Dixon, Bang V. Bui, Kirstan A. Vessey, Joanna A. Phipps, 13 Ursula Greferath, Gene Venables, Vickie H.Y. Wong, Connie H.Y. Wong, Zheng He, Flora Hui, James C. 14 Young, Josh Tonc, Elena Ivanova, Botir T. Sagdullaev, Erica L. Fletcher 15 * Joint first authors 16 17 Corresponding author: 18 Prof. Erica L. Fletcher. Department of Anatomy & Neuroscience. The University of Melbourne, Grattan St, 19 Parkville 3010, Victoria, Australia. 20 Email: [email protected] ; Tel: +61-3-8344-3218; Fax: +61-3-9347-5219 21 22 This PDF file includes: 23 24 Supplementary text 25 Figures S1 to S10 26 Tables S1 to S7 27 Legends for Movies S1 to S2 28 SI References 29 30 Other supplementary materials for this manuscript include the following: 31 32 Movies S1 to S2 33 34 35 36 1 1 Supplementary Information Text 2 Materials and Methods 3 Microglial process movement on retinal vessels 4 Dark agouti rats were anaesthetized, injected intraperitoneally with rhodamine B (Sigma-Aldrich) to label blood 5 vessels and retinal explants established as described in the main text. Retinal microglia were labelled with Iba-1 6 and imaging performed on an inverted confocal microscope (Leica SP5). Baseline images were taken for 10 7 minutes, followed by the addition of PBS (10 minutes) and then either fractalkine or fractalkine + candesartan 8 (10 minutes) using concentrations outlined in the main text. -
Clinical and Prognostic Significance of MYH11 in Lung Cancer
ONCOLOGY LETTERS 19: 3899-3906, 2020 Clinical and prognostic significance ofMYH11 in lung cancer MENG-JUN NIE1,2, XIAO-TING PAN1,2, HE-YUN TAO1,2, MENG-JUN XU1,2, SHEN-LIN LIU1, WEI SUN1, JIAN WU1 and XI ZOU1 1Oncology Department, The Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu 210029; 2No.1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, P.R. China Received May 14, 2019; Accepted February 21, 2020 DOI: 10.3892/ol.2020.11478 Abstract. Myosin heavy chain 11 (MYH11), encoded by 5-year survival rate is estimated to approximately 18% (2). the MYH11 gene, is a protein that participates in muscle Therefore, novel targets for drug treatment and prognosis of contraction through the hydrolysis of adenosine triphosphate. lung cancer are needed. Although previous studies have demonstrated that MYH11 Myosin heavy chain 11 (MYH11), which is encoded by gene expression levels are downregulated in several types of the MYH11 gene, is a smooth muscle myosin belonging to the cancer, its expression levels have rarely been investigated in myosin heavy chain family (3). MYH11 is a contractile protein lung cancer. The present study aimed to explore the clinical that slides past actin filaments to induce muscle contraction significance and prognostic value of MYH11 expression levels via adenosine triphosphate hydrolysis (4,5). Previous findings in lung cancer and to further study the underlying molecular have shown that in aortic tissue, destruction of MYH11 can mechanisms of the function of this gene. The Oncomine lead to vascular smooth muscle cell loss, disorganization database showed that the MYH11 expression levels were and hyperplasia, which is one of the mechanisms leading to decreased in lung cancer compared with those noted in the thoracic aortic aneurysms and dissections (6,7). -
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. -
Communication Pathways in Human Nonmuscle Myosin-2C 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Authors: 25 Krishna Chinthalapudia,B,C,1, Sarah M
1 Mechanistic Insights into the Active Site and Allosteric 2 Communication Pathways in Human Nonmuscle Myosin-2C 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Authors: 25 Krishna Chinthalapudia,b,c,1, Sarah M. Heisslera,d,1, Matthias Prellera,e, James R. Sellersd,2, and 26 Dietmar J. Mansteina,b,2 27 28 Author Affiliations 29 aInstitute for Biophysical Chemistry, OE4350 Hannover Medical School, 30625 Hannover, 30 Germany. 31 bDivision for Structural Biochemistry, OE8830, Hannover Medical School, 30625 Hannover, 32 Germany. 33 cCell Adhesion Laboratory, Department of Integrative Structural and Computational Biology, The 34 Scripps Research Institute, Jupiter, Florida 33458, USA. 35 dLaboratory of Molecular Physiology, NHLBI, National Institutes of Health, Bethesda, Maryland 36 20892, USA. 37 eCentre for Structural Systems Biology (CSSB), German Electron Synchrotron (DESY), 22607 38 Hamburg, Germany. 39 1K.C. and S.M.H. contributed equally to this work 40 2To whom correspondence may be addressed: E-mail: [email protected] or 41 [email protected] 42 43 1 44 Abstract 45 Despite a generic, highly conserved motor domain, ATP turnover kinetics and their activation by 46 F-actin vary greatly between myosin-2 isoforms. Here, we present a 2.25 Å crystal pre- 47 powerstroke state (ADPVO4) structure of the human nonmuscle myosin-2C motor domain, one 48 of the slowest myosins characterized. In combination with integrated mutagenesis, ensemble- 49 solution kinetics, and molecular dynamics simulation approaches, the structure reveals an 50 allosteric communication pathway that connects the distal end of the motor domain with the 51 active site. -
Expression of Smooth Muscle and Extracellular Matrix Proteins in Relation to Airway Function in Asthma
Expression of smooth muscle and extracellular matrix proteins in relation to airway function in asthma Annelies M. Slats, MD,a Kirsten Janssen, BHe,a Annemarie van Schadewijk, MSc,a Dirk T. van der Plas, BSc,a Robert Schot, BSc,a Joost G. van den Aardweg, MD, PhD,b Johan C. de Jongste, MD, PhD,c Pieter S. Hiemstra, PhD,a Thais Mauad, MD,d Klaus F. Rabe, MD, PhD,a and Peter J. Sterk, MD, PhDa,e Leiden, Alkmaar, Rotterdam, and Amsterdam, The Netherlands, and Sa˜o Paulo, Brazil Background: Smooth muscle content is increased within the selective expression of airway smooth muscle proteins and airway wall in patients with asthma and is likely to play a role in components of the extracellular matrix. (J Allergy Clin airway hyperresponsiveness. However, smooth muscle cells Immunol 2008;121:1196-202.) express several contractile and structural proteins, and each of these proteins may influence airway function distinctly. Key words: Actin, desmin, elastin, airway smooth muscle, extracel- Objective: We examined the expression of contractile and lular matrix, lung function, hyperresponsiveness, deep inspiration- structural proteins of smooth muscle cells, as well as induced bronchodilation, bronchial biopsies extracellular matrix proteins, in bronchial biopsies of patients with asthma, and related these to lung function, airway hyperresponsiveness, and responses to deep inspiration. Asthma is characterized by chronic airway inflammation, Methods: Thirteen patients with asthma (mild persistent, which is presumed to contribute to variable airways obstruction 1 atopic, nonsmoking) participated in this cross-sectional study. and bronchial hyperresponsiveness. However, recent studies FEV1% predicted, PC20 methacholine, and resistance of the have led to a reappraisal of the role of airway smooth muscle in 2 respiratory system by the forced oscillation technique during asthma pathophysiology. -
Differential Regulation of Proteoglycan 4 Metabolism in Cartilage by IL-1A, IGF-I, and TGF-B1 T
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Osteoarthritis and Cartilage (2008) 16, 90e97 ª 2007 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved. doi:10.1016/j.joca.2007.05.009 International Cartilage Repair Society Differential regulation of proteoglycan 4 metabolism in cartilage by IL-1a, IGF-I, and TGF-b1 T. A. Schmidt Ph.D., N. S. Gastelum B.S., E. H. Han M.S., G. E. Nugent-Derfus Ph.D., B. L. Schumacher B.S. and R. L. Sah M.D., Sc.D.* Department of Bioengineering and Whitaker Institute of Biomedical Engineering, University of California-San Diego, La Jolla, CA 92093-0412, United States Summary Objectives: To determine (1) if interleukin-1 alpha (IL-1a), insulin like growth factor I (IGF-I), and transforming growth factor-beta 1 (TGF-b1) regulate proteoglycan 4 (PRG4) metabolism in articular cartilage, in terms of chondrocytes expressing PRG4 and PRG4 bound at the articular surface, and (2) if these features of cartilage PRG4 metabolism correlate with its secretion. Methods: Articular cartilage explants were harvested and cultured for 6 days with or without 10% fetal bovine serum (FBS), alone, or with the addition of 10 ng/ml IL-1a, 300 ng/ml IGF-I, or 10 ng/ml TGF-b1. PRG4 expression by chondrocytes in the cartilage disks was assessed by immunohistochemistry (IHC). PRG4 bound to the articular surface of disks was quantified by extraction and enzyme-linked immunosorbent assay (ELISA). PRG4 secreted into culture medium was quantified by ELISA and characterized by Western Blot. -
PRG4) in Modulating Osteoarthritic Synoviocyte Proliferation and Expression of Matrix Degrading Enzymes Ali Alquraini MCPHS University
Chapman University Chapman University Digital Commons Pharmacy Faculty Articles and Research School of Pharmacy 2017 The Autocrine Role of Proteoglycan-4 (PRG4) in Modulating Osteoarthritic Synoviocyte Proliferation and Expression of Matrix Degrading Enzymes Ali Alquraini MCPHS University Maha Jamal MCPHS University Ling Zhang Rhode Island Hospital Tannin Schmidt University of Calgary Gregory D. Jay Rhode Island Hospital FSeoe nelloxtw pa thige fors aaddndition addal aitutionhorsal works at: http://digitalcommons.chapman.edu/pharmacy_articles Part of the Amino Acids, Peptides, and Proteins Commons, Genetic Phenomena Commons, Other Chemicals and Drugs Commons, and the Pharmaceutical Preparations Commons Recommended Citation Alquraini A, Jamal M, Zhang L, Schmidt T, Jay GD, Elsaid KA. The uta ocrine role of proteoglycan-4 (PRG4) in modulating osteoarthritic synoviocyte proliferation and expression of matrix degrading enzymes. Arthritis Research & Therapy. 2017;19:89. doi:10.1186/s13075-017-1301-5. This Article is brought to you for free and open access by the School of Pharmacy at Chapman University Digital Commons. It has been accepted for inclusion in Pharmacy Faculty Articles and Research by an authorized administrator of Chapman University Digital Commons. For more information, please contact [email protected]. The Autocrine Role of Proteoglycan-4 (PRG4) in Modulating Osteoarthritic Synoviocyte Proliferation and Expression of Matrix Degrading Enzymes Comments This article was originally published in Arthritis Research & Therapy, volume 19, in 2017. DOI: 10.1186/ s13075-017-1301-5 Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License. Copyright The uthora s Authors Ali Alquraini, Maha Jamal, Ling Zhang, Tannin Schmidt, Gregory D. Jay, and Khaled A. -
Supplementary File 2A Revised
Supplementary file 2A. Differentially expressed genes in aldosteronomas compared to all other samples, ranked according to statistical significance. Missing values were not allowed in aldosteronomas, but to a maximum of five in the other samples. Acc UGCluster Name Symbol log Fold Change P - Value Adj. P-Value B R99527 Hs.8162 Hypothetical protein MGC39372 MGC39372 2,17 6,3E-09 5,1E-05 10,2 AA398335 Hs.10414 Kelch domain containing 8A KLHDC8A 2,26 1,2E-08 5,1E-05 9,56 AA441933 Hs.519075 Leiomodin 1 (smooth muscle) LMOD1 2,33 1,3E-08 5,1E-05 9,54 AA630120 Hs.78781 Vascular endothelial growth factor B VEGFB 1,24 1,1E-07 2,9E-04 7,59 R07846 Data not found 3,71 1,2E-07 2,9E-04 7,49 W92795 Hs.434386 Hypothetical protein LOC201229 LOC201229 1,55 2,0E-07 4,0E-04 7,03 AA454564 Hs.323396 Family with sequence similarity 54, member B FAM54B 1,25 3,0E-07 5,2E-04 6,65 AA775249 Hs.513633 G protein-coupled receptor 56 GPR56 -1,63 4,3E-07 6,4E-04 6,33 AA012822 Hs.713814 Oxysterol bining protein OSBP 1,35 5,3E-07 7,1E-04 6,14 R45592 Hs.655271 Regulating synaptic membrane exocytosis 2 RIMS2 2,51 5,9E-07 7,1E-04 6,04 AA282936 Hs.240 M-phase phosphoprotein 1 MPHOSPH -1,40 8,1E-07 8,9E-04 5,74 N34945 Hs.234898 Acetyl-Coenzyme A carboxylase beta ACACB 0,87 9,7E-07 9,8E-04 5,58 R07322 Hs.464137 Acyl-Coenzyme A oxidase 1, palmitoyl ACOX1 0,82 1,3E-06 1,2E-03 5,35 R77144 Hs.488835 Transmembrane protein 120A TMEM120A 1,55 1,7E-06 1,4E-03 5,07 H68542 Hs.420009 Transcribed locus 1,07 1,7E-06 1,4E-03 5,06 AA410184 Hs.696454 PBX/knotted 1 homeobox 2 PKNOX2 1,78 2,0E-06