Human Stem Cell Models Identify Targets of Healthy

Total Page:16

File Type:pdf, Size:1020Kb

Human Stem Cell Models Identify Targets of Healthy HUMAN STEM CELL MODELS IDENTIFY TARGETS OF HEALTHY AND MALIGNANT HEMATOPOIETIC REGULATION BY JENNIFER C REID, BSc A Thesis Submitted to the School of Graduate Studies In Partial Fulfillment of the Requirements For the Degree Doctor of Philosophy McMaster University ÓCopyright by Jennifer C Reid, April 2020 JC Reid <- PhD Thesis ❖ McMaster University $ Biochemistry Descriptive Note McMaster University BACHELOR OF SCIENCE (2015) Hamilton, Ontario (Biomedical Research Specialization, Co-op) Title: Use of human stem cell models to identify targets of healthy and malignant hematopoietic regulation Author: Jennifer C. Reid Supervisor: Dr. Mickie Bhatia Number of pages: xii, 163 ii JC Reid <- PhD Thesis ❖ McMaster University $ Biochemistry AbstrAct Hematopoiesis is the highly regenerative process of producing billions of blood cells each day, including white blood cells, red blood cells, and platelets. Given the relatively short life span of these mature cells, hematopoiesis is dependent on stem and progenitor cells to generate renewed progeny, which represents a tightly regulated process. This includes cell intrinsic and external factors, and where dysregulation can lead to anemia and cancer. As such, the hematopoietic hierarchy has been intensely studied for nearly a century and represents a gold standard model of cell fate and developmental biology, in research and clinical applications. Cellular models, such as in vitro culture and human-mouse xenografts in vivo, have been developed to explain complex phenomena pertaining to hematopoiesis and also interrogate processes which are too invasive to study in humans. Hematopoietic generation is required beyond sustaining homeostasis, and progenitors can be damaged through cytotoxic injuries such as radiation and standard chemotherapy, and also undergo leukemic transformation. There are two main treatment modalities for leukemia patients (a) receiving a stem cell transplant, and (b) drug or radiation-based therapy. In the former, shortages of donors and stem cells has remained an unmet clinical need for decades. In the latter, selective targeting of genetic mutations has become a successful standard-of-care in leukemias such as chronic myelogenous leukemia and acute promyelocytic leukemia. However, in the most common adult hematologic malignancy, chronic lymphocytic leukemia (CLL), similar targeting therapies have not been developed. Altogether, shortages of stem cells from healthy donors, chemotherapy-induced immune dysfunction, and a lack of targeted therapies, all reinforce the immediate need for innovative cellular models to address these clinical problems. To generate additional sources of human hematopoietic progenitors for laboratory study, human PSCs have been used. Unlike hematopoietic progenitor cells collected from healthy and leukemic donors, human pluripotent stem cells (PSC) can be easily propagated and expanded in vitro. PSCs can generate hematopoietic progenitor cells, but they remain poorly understood and have not been robustly applied to solve the aforementioned deficiencies related to patient treatment. Importantly, the biological regulation of both hematopoiesis and PSCs has been experimentally confirmed to significantly deviate between humans and other animals, such as mice, further reinforcing the importance of human- specific cell models of hematopoiesis. Therefore, I hypothesized that human stem cell models provide a focused approach to interrogate the regulation of hematopoiesis from the apex of the hierarchy, which can be used to understand the promotion of healthy hematopoiesis and understand malignant transformation. We began by providing evidence that a discovery platform based on human PSCs with a specific leukemic driver mutation, trisomy 12 (tri12), enabled unprecedented elucidation of cell autonomous pathways for precision oncology, specifically in the context of tri12 CLL. Together with traditional gene expression analysis, we also developed machine learning algorithms to molecularly dissect pathways specific to tri12 in PSC and CLL, that could only be found using human isogenically-controlled PSC with a genetic leukemic driver in vitro. Two actionable targets were therapeutically applied to target tri12 CLL patient samples and tri12 PSCs both in vitro and upon xenotransplantation as tumors into immunocompetent mice. iii JC Reid <- PhD Thesis ❖ McMaster University $ Biochemistry We then investigated what is necessary to improve PSC-derived hematopoietic progenitors to extend their application beyond in vitro models, and also to address the clinical shortage of transplantable stem cells. We discovered that PSC-derived progenitors fail to survive even 24 hours following bone marrow transplantation, while they can survive and proliferate for weeks in vitro. We then determined PSC-derived progenitors do not have a key receptor that healthy progenitors have, called CXCR4. By correcting CXCR4 signaling, we observed enhanced PSC-derived progenitor function and survival in the bone marrow of human-mouse xenografts and a transcriptional shift toward human progenitor profiles. Our results reveal CXCR4 is an actionable target for transplantable progenitors with in vivo function. To investigate hematopoietic dysfunction, which is a pervasive side-effect of radiation and chemotherapy in vivo, we developed a third human cellular model using long-term human-mouse xenografts given these broad effects cannot be recapitulated in vitro. We sampled xenografts at multiple time points before and during the recovery process after treatments and observed drastic yet reproducible changes in the composition of human progenitors and also mature human hematopoietic cells, which reflected clinical leukemia patient experiences. Furthermore, using single cell transcriptional and protein analysis, we were able to identify unique subsets of human progenitors which may prove to be the key hematopoietic regenerating cells upon further biological investigation of these actionable targets. Validation of clinically relevant interventions which aid in the process of healthy hematopoietic regeneration in vivo are the next step in this work. Collectively, the data presented within this thesis offer a deeper conceptualization of human stem cell models and the deconvolution of several complex components of hematopoietic regulation. This work has revealed novel, clinically relevant, and actionable targets to ultimately enable the promotion of healthy hematopoiesis on multiple fronts. iv JC Reid <- PhD Thesis ❖ McMaster University $ Biochemistry Acknowledgements Mick, I want to thank you for all the once-in-a-lifetime memories; from litterbox and oompa loompas to creative brain storming and motivational speeches. I have learned so much from you, and I am grateful for that. You have taught me so much, and also let me get messy and learn from my mistakes. I appreciate that a thesis should capture the 'hard skills' and data generated, but I would be amiss not to expressly thank-you for the even longer list of 'soft skills' and personal development that are not directly mentioned in this thesis. I’d also like to thank my committee members, Drs. Thomas Hawke and Greg Steinberg, who have asked out-of-the-box questions and advised me during my graduate studies. I have admired your character since my undergrad days, and I am so grateful to have such positive roles models. My graduate success would not have been possible without my lab family. Diana and Allison, you have become true friends and I am so grateful for everything we’ve shared. I want to thank Jong-Hee and Kyle for taking a chance on me and trusting me to articulate and publish their work. I want to thank everyone whom I have had the pleasure to work with, including current members and alumni of the Bhatia lab; JB, Borko, Macky, Luca, Deanna, Gena, Yeonjoon, Juan, Andrew, Lili, Mio, and the bhatiabhaddies; you make my day. To all the brave patients, and their families, who participated in clinical trials and donated valuable tissue samples used in this and other studies, I am truly grateful. Justin, whether you’re cooking me dinner or at the gym while I’m at the lab, I wouldn’t have been able to finish this degree without your love and support. Here’s my chance to publicly apologize for every time I was late leaving the lab. Last, but not least, I want to thank my family, who continuously promote me to become a better version of myself. ❖ “There is no point in starting something without ambition. ... Ambition never goes away. It may shuffle off, grumbling, feet dragging, only to slide across into something else – usually the next project. It doesn’t take ‘no’ for an answer. ... One last word to all you nascent writers out there. Ambition is not a dirty word. Piss on compromise. Go for the throat. Write with balls, write with eggs. Sure, it’s a harder journey but take it from me, it’s well worth it. – Steven Erickson [Steve Rune Lundin], 2007 ❖ v JC Reid <- PhD Thesis ❖ McMaster University $ Biochemistry Table of Contents Descriptive Note ........................................................................................................................ ii Abstract ........................................................................................................................................ iii Acknowledgements ................................................................................................................... v Table of Contents .....................................................................................................................
Recommended publications
  • Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
    Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P.
    [Show full text]
  • 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.
    [Show full text]
  • Supplementary Table 1: Adhesion Genes Data Set
    Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like,
    [Show full text]
  • Updates on Myopia
    Updates on Myopia A Clinical Perspective Marcus Ang Tien Y. Wong Editors Updates on Myopia Marcus Ang • Tien Y. Wong Editors Updates on Myopia A Clinical Perspective Editors Marcus Ang Tien Y. Wong Singapore National Eye Center Singapore National Eye Center Duke-NUS Medical School Duke-NUS Medical School National University of Singapore National University of Singapore Singapore Singapore This book is an open access publication. ISBN 978-981-13-8490-5 ISBN 978-981-13-8491-2 (eBook) https://doi.org/10.1007/978-981-13-8491-2 © The Editor(s) (if applicable) and The Author(s) 2020, corrected publication 2020 Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifc statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
    [Show full text]
  • Individual Protomers of a G Protein-Coupled Receptor Dimer Integrate Distinct Functional Modules
    OPEN Citation: Cell Discovery (2015) 1, 15011; doi:10.1038/celldisc.2015.11 © 2015 SIBS, CAS All rights reserved 2056-5968/15 ARTICLE www.nature.com/celldisc Individual protomers of a G protein-coupled receptor dimer integrate distinct functional modules Nathan D Camp1, Kyung-Soon Lee2, Jennifer L Wacker-Mhyre2, Timothy S Kountz2, Ji-Min Park2, Dorathy-Ann Harris2, Marianne Estrada2, Aaron Stewart2, Alejandro Wolf-Yadlin1, Chris Hague2 1Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; 2Department of Pharmacology, University of Washington School of Medicine, Seattle, WA, USA Recent advances in proteomic technology reveal G-protein-coupled receptors (GPCRs) are organized as large, macromolecular protein complexes in cell membranes, adding a new layer of intricacy to GPCR signaling. We previously reported the α1D-adrenergic receptor (ADRA1D)—a key regulator of cardiovascular, urinary and CNS function—binds the syntrophin family of PDZ domain proteins (SNTA, SNTB1, and SNTB2) through a C-terminal PDZ ligand inter- action, ensuring receptor plasma membrane localization and G-protein coupling. To assess the uniqueness of this novel GPCR complex, 23 human GPCRs containing Type I PDZ ligands were subjected to TAP/MS proteomic analysis. Syntrophins did not interact with any other GPCRs. Unexpectedly, a second PDZ domain protein, scribble (SCRIB), was detected in ADRA1D complexes. Biochemical, proteomic, and dynamic mass redistribution analyses indicate syntrophins and SCRIB compete for the PDZ ligand, simultaneously exist within an ADRA1D multimer, and impart divergent pharmacological properties to the complex. Our results reveal an unprecedented modular dimeric architecture for the ADRA1D in the cell membrane, providing unexpected opportunities for fine-tuning receptor function through novel protein interactions in vivo, and for intervening in signal transduction with small molecules that can stabilize or disrupt unique GPCR:PDZ protein interfaces.
    [Show full text]
  • 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,
    [Show full text]
  • Functional Significance of Gain-Of-Function H19 Lncrna in Skeletal Muscle Differentiation and Anti-Obesity Effects Yajuan Li1†, Yaohua Zhang1†, Qingsong Hu1, Sergey D
    Li et al. Genome Medicine (2021) 13:137 https://doi.org/10.1186/s13073-021-00937-4 RESEARCH Open Access Functional significance of gain-of-function H19 lncRNA in skeletal muscle differentiation and anti-obesity effects Yajuan Li1†, Yaohua Zhang1†, Qingsong Hu1, Sergey D. Egranov1, Zhen Xing1,2, Zhao Zhang3, Ke Liang1, Youqiong Ye3, Yinghong Pan4,5, Sujash S. Chatterjee4, Brandon Mistretta4, Tina K. Nguyen1, David H. Hawke6, Preethi H. Gunaratne4, Mien-Chie Hung7,8, Leng Han3,9, Liuqing Yang1,10,11* and Chunru Lin1,10* Abstract Background: Exercise training is well established as the most effective way to enhance muscle performance and muscle building. The composition of skeletal muscle fiber type affects systemic energy expenditures, and perturbations in metabolic homeostasis contribute to the onset of obesity and other metabolic dysfunctions. Long noncoding RNAs (lncRNAs) have been demonstrated to play critical roles in diverse cellular processes and diseases, including human cancers; however, the functional importance of lncRNAs in muscle performance, energy balance, and obesity remains elusive. We previously reported that the lncRNA H19 regulates the poly-ubiquitination and protein stability of dystrophin (DMD) in muscular dystrophy. Methods: Here, we identified mouse/human H19-interacting proteins using mouse/human skeletal muscle tissues and liquid chromatography–mass spectrometry (LC-MS). Human induced pluripotent stem-derived skeletal muscle cells (iPSC-SkMC) from a healthy donor and Becker Muscular Dystrophy (BMD) patients were utilized to study DMD post-translational modifications and associated proteins. We identified a gain-of-function (GOF) mutant of H19 and characterized the effects on myoblast differentiation and fusion to myotubes using iPSCs.
    [Show full text]
  • S1 Table Protein
    S1 Table dFSHD12_TE dFSHD12_NE aFSHD51_TE aFSHD51_NE Accession Gene Protein H/L SD # bold H/L SD # bold H/L SD # bold H/L SD # bold Intermediate filament (or associated proteins) P17661 DES Desmin 0.91 N.D. 37 1.06 1.35 19 0.89 1,13 33 * 1.20 1.21 17 * P02545 LMNA Prelamin-A/C 0.90 1.25 30 * 1.07 1.26 20 0.96 1.23 34 1.21 1.24 19 * P48681 NES Nestin 0.91 N.D. 60 0.94 1.25 27 0.72 1.20 50 * 0.89 1.27 31 * P08670 VIM Vimentin 1.04 N.D. 35 1.24 1.24 14 * 1.21 1.18 36 * 1.39 1.17 16 * Q15149 PLEC Plectin-1 1.10 1.28 19 1.05 1.10 3 1.07 1.23 26 1.25 1.27 7 * P02511 CRYAB Alpha-crystallin B chain (HspB5) 1.47 1.17 2 1.17 2 1.14 1.12 2 Tubulin (or associated proteins) P62158 CALM1 Calmodulin (CaM) 0.83 0.00 1 0.93 0.00 1 Programmed cell death 6- Q8WUM4 PDCD6IP 1.34 0.00 1 interacting protein Q71U36 TUBA1A Tubulin α-1A chain (α-tubulin 3) 1.44 1.12 3 * Tubulin β chain (Tubulin β-5 P07437 TUBB 1.52 0.00 1 chain) Nuclear mitotic apparatus Q14980 NUMA1 0.68 0.00 1 0.75 0.00 1 protein 1 Microtubule-associated protein P27816 MAP4 1.10 1 4 Microtubule-associated protein P78559 MAP1A 0.76 0.00 1 1A Q6PEY2 TUBA3E Tubulin α-3E chain (α-tubulin 3E) 0.91 0.00 1 1.12 0.00 1 0.98 1.12 3 Tubulin β-2C chain (Tubulin β-2 P68371 TUBB2C 0.93 1.13 7 chain) Q3ZCM7 TUBB8 Tubulin β-8 chain 0.97 1.09 4 Serine P34897 SHMT2 hydroxymethyltransferase 0.93 0.00 1 (serine methylase) Cytoskeleton-associated protein Q07065 CKAP4 0.98 1.24 5 0.96 0.00 1 1.08 1.28 6 0.75 0.00 1 4 (p63) Centrosomal protein of 135 kDa Q66GS9 CEP135 0.84 0.00 1 (Centrosomal protein 4) Pre-B cell leukemia transcription Q96AQ6 PBXIP1 0.74 0.00 1 0.80 1 factor-interacting protein 1 T-complex protein 1 subunit P17897 TCP1 0.84 0.00 1 alpha (CCT-alpha) Cytoplasmic dynein Q13409 DYNC1I2 1.01 0.00 1 intermediate chain 2 (DH IC-2) Dynein heavy chain 3 (Dnahc3- Q8TD57 DNAH3 b) Microtubule-actin cross- linking Q9UPN3 MACF1 factor 1 (Trabeculin-alpha) Actin (or associated including myofibril-associated porteins) P60709 ACTB Actin, cytoplasmic 1 (β-actin) 1.11 N.D.
    [Show full text]
  • Biological Models of Colorectal Cancer Metastasis and Tumor Suppression
    BIOLOGICAL MODELS OF COLORECTAL CANCER METASTASIS AND TUMOR SUPPRESSION PROVIDE MECHANISTIC INSIGHTS TO GUIDE PERSONALIZED CARE OF THE COLORECTAL CANCER PATIENT By Jesse Joshua Smith Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University In partial fulfillment of the requirements For the degree of DOCTOR OF PHILOSOPHY In Cell and Developmental Biology May, 2010 Nashville, Tennessee Approved: Professor R. Daniel Beauchamp Professor Robert J. Coffey Professor Mark deCaestecker Professor Ethan Lee Professor Steven K. Hanks Copyright 2010 by Jesse Joshua Smith All Rights Reserved To my grandparents, Gladys and A.L. Lyth and Juanda Ruth and J.E. Smith, fully supportive and never in doubt. To my amazing and enduring parents, Rebecca Lyth and Jesse E. Smith, Jr., always there for me. .my sure foundation. To Jeannine, Bill and Reagan for encouragement, patience, love, trust and a solid backing. To Granny George and Shawn for loving support and care. And To my beautiful wife, Kelly, My heart, soul and great love, Infinitely supportive, patient and graceful. ii ACKNOWLEDGEMENTS This work would not have been possible without the financial support of the Vanderbilt Medical Scientist Training Program through the Clinical and Translational Science Award (Clinical Investigator Track), the Society of University Surgeons-Ethicon Scholarship Fund and the Surgical Oncology T32 grant and the Vanderbilt Medical Center Section of Surgical Sciences and the Department of Surgical Oncology. I am especially indebted to Drs. R. Daniel Beauchamp, Chairman of the Section of Surgical Sciences, Dr. James R. Goldenring, Vice Chairman of Research of the Department of Surgery, Dr. Naji N.
    [Show full text]
  • Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
    BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in
    [Show full text]
  • Molecular Bases of Equine Polysaccharide Storage Myopathies a Dissertation SUBMITTED to the FACULTY of UNIVERSITY of MINNESOTA
    Molecular bases of equine polysaccharide storage myopathies A Dissertation SUBMITTED TO THE FACULTY OF UNIVERSITY OF MINNESOTA BY Raffaella Bertoni Cavalcanti Teixeira IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Molly McCue, James Mickelson April, 2015 © {Raffaella Bertoni Cavalcanti Teixeira, 2015} Acknowledgements First of all I am thankful to Drs McCue and Mickelson for their essential support. Without their superior knowledge and experience I would not have been able to accomplish this work. The author would also like to thank Drs Reed, Rendahl and Valberg for being part of my committee and for their support and help. I would also like to acknowledge Rob Schaefer for all his help with scripts and commands. I have learned a lot from him. I would like to thank my lab mates Sam Beeson, Elaine Norton, Annette McCoy, Felipe Avila, Nichol Schultz and Ann Kemper for their help and friendship. And last, I want to thank my dog Stella for showing me her love during good and bad times. I have met incredible people during this journey and I’m very thankful to each one of them. You have all left a mark on my life forever. i Dedication This thesis is dedicated to my adviser Dr McCue for helping me achieve my goal of completing a PhD. Dr McCue has taught me so many important lessons. I’m a better scientist, clinician and most of all, a better person because of her. Her lessons will stay with me for the rest of my life. I also dedicate this work to my co-adviser, Dr Mickelson, for being supportive, helpful, wise and very patient.
    [Show full text]
  • Entrez ID Gene Name Fold Change Q-Value Description
    Entrez ID gene name fold change q-value description 4283 CXCL9 -7.25 5.28E-05 chemokine (C-X-C motif) ligand 9 3627 CXCL10 -6.88 6.58E-05 chemokine (C-X-C motif) ligand 10 6373 CXCL11 -5.65 3.69E-04 chemokine (C-X-C motif) ligand 11 405753 DUOXA2 -3.97 3.05E-06 dual oxidase maturation factor 2 4843 NOS2 -3.62 5.43E-03 nitric oxide synthase 2, inducible 50506 DUOX2 -3.24 5.01E-06 dual oxidase 2 6355 CCL8 -3.07 3.67E-03 chemokine (C-C motif) ligand 8 10964 IFI44L -3.06 4.43E-04 interferon-induced protein 44-like 115362 GBP5 -2.94 6.83E-04 guanylate binding protein 5 3620 IDO1 -2.91 5.65E-06 indoleamine 2,3-dioxygenase 1 8519 IFITM1 -2.67 5.65E-06 interferon induced transmembrane protein 1 3433 IFIT2 -2.61 2.28E-03 interferon-induced protein with tetratricopeptide repeats 2 54898 ELOVL2 -2.61 4.38E-07 ELOVL fatty acid elongase 2 2892 GRIA3 -2.60 3.06E-05 glutamate receptor, ionotropic, AMPA 3 6376 CX3CL1 -2.57 4.43E-04 chemokine (C-X3-C motif) ligand 1 7098 TLR3 -2.55 5.76E-06 toll-like receptor 3 79689 STEAP4 -2.50 8.35E-05 STEAP family member 4 3434 IFIT1 -2.48 2.64E-03 interferon-induced protein with tetratricopeptide repeats 1 4321 MMP12 -2.45 2.30E-04 matrix metallopeptidase 12 (macrophage elastase) 10826 FAXDC2 -2.42 5.01E-06 fatty acid hydroxylase domain containing 2 8626 TP63 -2.41 2.02E-05 tumor protein p63 64577 ALDH8A1 -2.41 6.05E-06 aldehyde dehydrogenase 8 family, member A1 8740 TNFSF14 -2.40 6.35E-05 tumor necrosis factor (ligand) superfamily, member 14 10417 SPON2 -2.39 2.46E-06 spondin 2, extracellular matrix protein 3437
    [Show full text]