Ingenuity Pathway Analysis of Human Facet Joint Tissues: Insight Into Facet Joint Osteoarthritis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
WHITE BLOOD CELLS Formation Function ~ TEST YOURSELF
Chapter 9 Blood, Lymph, and Immunity 231 WHITE BLOOD CELLS All white blood cells develop in the bone marrow except Any nucleated cell normally found in blood is a white blood for some lymphocytes (they start out in bone marrow but cell. White blood cells are also known as WBCs or leukocytes. develop elsewhere). At the beginning of leukopoiesis all the When white blood cells accumulate in one place, they grossly immature white blood cells look alike even though they're appear white or cream-colored. For example, pus is an accu- already committed to a specific cell line. It's not until the mulation of white blood cells. Mature white blood cells are cells start developing some of their unique characteristics larger than mature red blood cells. that we can tell them apart. There are five types of white blood cells. They are neu- Function trophils, eosinophils, basophils, monocytes and lymphocytes (Table 9-2). The function of all white blood cells is to provide a defense White blood cells can be classified in three different ways: for the body against foreign invaders. Each type of white 1. Type of defense function blood cell has its own unique role in this defense. If all the • Phagocytosis: neutrophils, eosinophils, basophils, mono- white blood cells are functioning properly, an animal has a cytes good chance of remaining healthy. Individual white blood • Antibody production and cellular immunity: lympho- cell functions will be discussed with each cell type (see cytes Table 9-2). 2. Shape of nucleus In providing defense against foreign invaders, the white • Polymorphonuclear (multilobed, segmented nucleus): blood cells do their jobs primarily out in the tissues. -
Automatic System for Differential Blood Counting
ISSN (Print) : 2320 – 3765 ISSN (Online): 2278 – 8875 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 5, Issue 4, April 2016 Automatic System for Differential Blood Counting 1 2 Manisha Shirvoikar , Dr.H.G.Virani PG Student [ECI], Dept. of ETC, Goa College of Engineering, Ponda, Goa, India1 Professor & Head of Department, Dept. of ETC, Goa College of Engineering, Ponda, Goa, India2 ABSTRACT: For detecting various diseases, Doctor first suggests the patient to undergo blood test which is used as a health indicator. Differential Blood Count (DBC) provides haematologist with valuable information about health of the patient. DBC determines the percentage of types of WBC this is important because it give exact count of five types of WBC such as neutrophil, lymphocyte, monocyte, eosinophil and basophile. Increase or decrease of DBC than the ideal count indicated that our body is not healthy. Precise counting of type of WBC is very important. Manual counting of White blood cells is time consuming and can lead to human error with increase in number of samples. Automatic cell counter sometimes misclassifies the cells having different morphology. Even they are very expensive and unaffordable by remote area health centres and hospitals. These problems are overcome by developing a system which is image based, cost effective, fast and accurate which has the capability to identify, classify the different type of white blood cell and perform DBC. Implementation is done using MATLABR2014b. KEYWORDS: MATLAB, peripheral blood smear, RBC, Thresholding, WBC, DBC. I.INTRODUCTION Total volume of blood in human is 5-6 litres i.e 8% of body weight or 80 mL/kg body weight. -
Htra1 Is a Novel Transcriptional Target of RUNX2 That Promotes Osteogenic Differentiation
Cellular Physiology Cell Physiol Biochem 2019;53:832-850 DOI: 10.33594/00000017610.33594/000000176 © 2019 The Author(s).© 2019 Published The Author(s) by and Biochemistry Published online: online: 9 9November November 2019 2019 Cell Physiol BiochemPublished Press GmbH&Co. by Cell Physiol KG Biochem 832 Press GmbH&Co. KG, Duesseldorf IyyanarAccepted: et 7al.: November Runx2 Regulates 2019 Htra1 During Osteogenesiswww.cellphysiolbiochem.com This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Interna- tional License (CC BY-NC-ND). Usage and distribution for commercial purposes as well as any distribution of modified material requires written permission. Original Paper Htra1 is a Novel Transcriptional Target of RUNX2 That Promotes Osteogenic Differentiation Paul P.R. Iyyanara,b Merlin P. Thangaraja B. Frank Eamesc Adil J. Nazaralia aLaboratory of Molecular Cell Biology, College of Pharmacy and Nutrition and Neuroscience Research Cluster, University of Saskatchewan, Saskatoon, SK, Canada, bDivision of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA, cDepartment of Anatomy and Cell Biology, University of Saskatchewan, Saskatoon, SK, Canada Key Words Runx2 • Htra1 • Osteoblast differentiation • Matrix mineralization Abstract Background/Aims: Runt-related transcription factor 2 (Runx2) is a master regulator of osteogenic differentiation, but most of the direct downstream targets of RUNX2 during osteogenesis are unknown. Likewise, High-temperature requirement factor A1 (HTRA1) is a serine protease expressed in bone, yet the role of Htra1 during osteoblast differentiation remains elusive. We investigated the role of Htra1 in osteogenic differentiation and the transcriptional regulation of Htra1 by RUNX2 in primary mouse mesenchymal progenitor cells. Methods: Overexpression of Htra1 was carried out in primary mouse mesenchymal progenitor cells to evaluate the extent of osteoblast differentiation. -
SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line -
Quantigene Flowrna Probe Sets Currently Available
QuantiGene FlowRNA Probe Sets Currently Available Accession No. Species Symbol Gene Name Catalog No. NM_003452 Human ZNF189 zinc finger protein 189 VA1-10009 NM_000057 Human BLM Bloom syndrome VA1-10010 NM_005269 Human GLI glioma-associated oncogene homolog (zinc finger protein) VA1-10011 NM_002614 Human PDZK1 PDZ domain containing 1 VA1-10015 NM_003225 Human TFF1 Trefoil factor 1 (breast cancer, estrogen-inducible sequence expressed in) VA1-10016 NM_002276 Human KRT19 keratin 19 VA1-10022 NM_002659 Human PLAUR plasminogen activator, urokinase receptor VA1-10025 NM_017669 Human ERCC6L excision repair cross-complementing rodent repair deficiency, complementation group 6-like VA1-10029 NM_017699 Human SIDT1 SID1 transmembrane family, member 1 VA1-10032 NM_000077 Human CDKN2A cyclin-dependent kinase inhibitor 2A (melanoma, p16, inhibits CDK4) VA1-10040 NM_003150 Human STAT3 signal transducer and activator of transcripton 3 (acute-phase response factor) VA1-10046 NM_004707 Human ATG12 ATG12 autophagy related 12 homolog (S. cerevisiae) VA1-10047 NM_000737 Human CGB chorionic gonadotropin, beta polypeptide VA1-10048 NM_001017420 Human ESCO2 establishment of cohesion 1 homolog 2 (S. cerevisiae) VA1-10050 NM_197978 Human HEMGN hemogen VA1-10051 NM_001738 Human CA1 Carbonic anhydrase I VA1-10052 NM_000184 Human HBG2 Hemoglobin, gamma G VA1-10053 NM_005330 Human HBE1 Hemoglobin, epsilon 1 VA1-10054 NR_003367 Human PVT1 Pvt1 oncogene homolog (mouse) VA1-10061 NM_000454 Human SOD1 Superoxide dismutase 1, soluble (amyotrophic lateral sclerosis 1 (adult)) -
Digitalcommons@UNMC Granulocytopenia
University of Nebraska Medical Center DigitalCommons@UNMC MD Theses Special Collections 5-1-1936 Granulocytopenia Howard E. Mitchell University of Nebraska Medical Center This manuscript is historical in nature and may not reflect current medical research and practice. Search PubMed for current research. Follow this and additional works at: https://digitalcommons.unmc.edu/mdtheses Part of the Medical Education Commons Recommended Citation Mitchell, Howard E., "Granulocytopenia" (1936). MD Theses. 457. https://digitalcommons.unmc.edu/mdtheses/457 This Thesis is brought to you for free and open access by the Special Collections at DigitalCommons@UNMC. It has been accepted for inclusion in MD Theses by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. G PA~lULOCYTOPENI A SENIOR THESIS By Howard E. Mitchell April 17, 1936 TABLE OF CONT'ENTS Introduction Definition • · 1 History . • • • 1 Nomenclature • • • • • 4 ClassificBtion • • • • 6 Physiology • • • • .10 Etiology • • 22 Geographic Distribution • 23 Age, Sex, and R9ce • • ·• 23 Occupation • .. • • • • .. • 23 Ba.cteria • • • • .. 24 Glandu18.r Dysfunction • • • 27 Radiation • • • • 28 Allergy • • • 28 Chemotactic and Maturation Factors • • 28 Chemicals • • • • • 30 Pathology • • • • • 36 Symptoms • • • • • • • 43 DiEtgnosis • • • • • .. • • • • • .. • 4'7 Prognosis 48 '" • • • • • • • • • • • • Treatment • • • • • • • • 49 Non"'specific Therapy • • • • .. 50 Transfusion • • • • .. 51 X-Ray • • • • • • • • • 52 Liver ·Extract • • • • • • • 53 Nucleotides • • • • • • • • • • • 53 General Ca.re • • • • • • • • 57 Conclusion • • • • • • • • • 58 480805 INTHODUCTION Although t~ere is reference in literature of the Nineteenth Century to syndromes similating the disease (granulocytopenia) 9.8 W(~ know it todes, it "vas not un til the year 1922 that Schultz 8ctually described his C8se as a disease entity and by so doing, stimulated the interest of tne medical profession to further in vestigation. -
COVID-19: Viral–Host Interactome Analyzed by Network Based
Messina et al. J Transl Med (2020) 18:233 https://doi.org/10.1186/s12967-020-02405-w Journal of Translational Medicine RESEARCH Open Access COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection Francesco Messina1†, Emanuela Giombini1†, Chiara Agrati1, Francesco Vairo1, Tommaso Ascoli Bartoli1, Samir Al Moghazi1, Mauro Piacentini1,2, Franco Locatelli3, Gary Kobinger4, Markus Maeurer5,6, Alimuddin Zumla7,8, Maria R. Capobianchi1* , Francesco Nicola Lauria1†, Giuseppe Ippolito1† and COVID 19 INMI Network Medicine for IDs Study Group Abstract Background: Epidemiological, virological and pathogenetic characteristics of SARS-CoV-2 infection are under evaluation. A better understanding of the pathophysiology associated with COVID-19 is crucial to improve treatment modalities and to develop efective prevention strategies. Transcriptomic and proteomic data on the host response against SARS-CoV-2 still have anecdotic character; currently available data from other coronavirus infections are there- fore a key source of information. Methods: We investigated selected molecular aspects of three human coronavirus (HCoV) infections, namely SARS- CoV, MERS-CoV and HCoV-229E, through a network based-approach. A functional analysis of HCoV–host interactome was carried out in order to provide a theoretic host–pathogen interaction model for HCoV infections and in order to translate the results in prediction for SARS-CoV-2 pathogenesis. The 3D model of S-glycoprotein of SARS-CoV-2 was compared to the structure of the corresponding SARS-CoV, HCoV-229E and MERS-CoV S-glycoprotein. SARS-CoV, MERS-CoV, HCoV-229E and the host interactome were inferred through published protein–protein interactions (PPI) as well as gene co-expression, triggered by HCoV S-glycoprotein in host cells. -
Rabbit Anti-Osterix/FITC Conjugated Antibody-SL1110R-FITC
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-Osterix/FITC Conjugated antibody SL1110R-FITC Product Name: Anti-Osterix/FITC Chinese Name: FITC标记的成骨相关转录因子抗体 Osterix; MGC126598; Osx; Sp 7; Sp7; Sp7 transcription factor; Transcription factor Alias: Sp7; Zinc finger protein osterix; SP7_HUMAN. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Dog,Pig,Cow,Horse,Rabbit, Flow-Cyt=1:50-200IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 45kDa Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human Osterix Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Storewww.sunlongbiotech.com at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: This gene encodes a member of the Sp subfamily of Sp/XKLF transcription factors. Sp family proteins are sequence-specific DNA-binding proteins characterized by an amino- terminal trans-activation domain and three carboxy-terminal zinc finger motifs. This Product Detail: protein is a bone specific transcription factor and is required for osteoblast differentiation and bone formation.[provided by RefSeq, Jul 2010] Function: Transcriptional activator essential for osteoblast differentiation. -
Microrna Mir-378 Promotes BMP2-Induced Osteogenic
Hupkes et al. BMC Molecular Biology 2014, 15:1 http://www.biomedcentral.com/1471-2199/15/1 RESEARCH ARTICLE Open Access MicroRNA miR-378 promotes BMP2-induced osteogenic differentiation of mesenchymal progenitor cells Marlinda Hupkes1*, Ana M Sotoca1, José M Hendriks1, Everardus J van Zoelen1 and Koen J Dechering1,2,3 Abstract Background: MicroRNAs (miRNAs) are a family of small, non-coding single-stranded RNA molecules involved in post-transcriptional regulation of gene expression. As such, they are believed to play a role in regulating the step-wise changes in gene expression patterns that occur during cell fate specification of multipotent stem cells. Here, we have studied whether terminal differentiation of C2C12 myoblasts is indeed controlled by lineage-specific changes in miRNA expression. Results: Using a previously generated RNA polymerase II (Pol-II) ChIP-on-chip dataset, we show differential Pol-II occupancy at the promoter regions of six miRNAs during C2C12 myogenic versus BMP2-induced osteogenic differentiation. Overexpression of one of these miRNAs, miR-378, enhances Alp activity, calcium deposition and mRNA expression of osteogenic marker genes in the presence of BMP2. Conclusions: Our results demonstrate a previously unknown role for miR-378 in promoting BMP2-induced osteogenic differentiation. Background nucleotides) involved in post-transcriptional gene silencing The generation of distinct populations of terminally dif- and as such play important roles in diverse biological pro- ferentiated, mature specialized cell types from multipo- cesses such as developmental timing [3], insulin secretion tent stem cells, via progenitor cells, is characterized by a [4], apoptosis [5], oncogenesis [6] and organ development progressive restriction of differentiation potential that [7,8]. -
Gene 599 (2017) 36–52
Gene 599 (2017) 36–52 Contents lists available at ScienceDirect Gene journal homepage: www.elsevier.com/locate/gene Research paper Old age and the associated impairment of bones' adaptation to loading are associated with transcriptomic changes in cellular metabolism, cell-matrix interactions and the cell cycle Gabriel L. Galea, PhD a,1, Lee B. Meakin, PhD a,⁎,1, Marie A. Harris, PhD b, Peter J. Delisser, BVSc(Hons) a, Lance E. Lanyon, DSc a, Stephen E. Harris, PhD b, Joanna S. Price, PhD a a School of Veterinary Sciences, University of Bristol, Bristol, UK b Department of Periodontics & Cellular and Structural Biology, University of Texas Health Science Centre, San Antonio, USA article info abstract Article history: In old animals, bone's ability to adapt its mass and architecture to functional load-bearing requirements is dimin- Received 15 October 2016 ished, resulting in bone loss characteristic of osteoporosis. Here we investigate transcriptomic changes associated Accepted 6 November 2016 with this impaired adaptive response. Young adult (19-week-old) and aged (19-month-old) female mice were Available online 10 November 2016 subjected to unilateral axial tibial loading and their cortical shells harvested for microarray analysis between 1 h and 24 h following loading (36 mice per age group, 6 mice per loading group at 6 time points). In non-loaded Keywords: aged bones, down-regulated genes are enriched for MAPK, Wnt and cell cycle components, including E2F1. E2F1 Ageing Bone is the transcription factor most closely associated with genes down-regulated by ageing and is down-regulated at Mechanical loading the protein level in osteocytes. -
Simplified White Blood Cell Differential: an Inexpensive, Smartphone- and Paper-Based Blood Cell Count
Simplified White Blood Cell Differential: An Inexpensive, Smartphone- and Paper-Based Blood Cell Count Item Type Article Authors Bills, Matthew V.; Nguyen, Brandon T.; Yoon, Jeong-Yeol Citation M. V. Bills, B. T. Nguyen and J. Yoon, "Simplified White Blood Cell Differential: An Inexpensive, Smartphone- and Paper-Based Blood Cell Count," in IEEE Sensors Journal, vol. 19, no. 18, pp. 7822-7828, 15 Sept.15, 2019. doi: 10.1109/JSEN.2019.2920235 DOI 10.1109/jsen.2019.2920235 Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC Journal IEEE SENSORS JOURNAL Rights © 2019 IEEE. Download date 25/09/2021 12:19:07 Item License http://rightsstatements.org/vocab/InC/1.0/ Version Final accepted manuscript Link to Item http://hdl.handle.net/10150/634549 > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Simplified White Blood Cell Differential: An Inexpensive, Smartphone- and Paper-Based Blood Cell Count Matthew V. Bills, Brandon T. Nguyen, and Jeong-Yeol Yoon or trained lab specialist to prepare blood smear slides, stain Abstract— Sorting and measuring blood by cell type is them, and then manually count different WBC types using a extremely valuable clinically and provides physicians with key hemocytometer under a microscope [3]. To do this they must information for diagnosing many different disease states dilute specimens in a red blood cell (RBC) lysing solution to including: leukemia, autoimmune disorders, bacterial infections, remove RBCs and count WBCs. Manually counting WBCs is etc. Despite the value, the present methods are unnecessarily laborious and requires specialized medical equipment and costly and inhibitive particularly in resource poor settings, as they require multiple steps of reagent and/or dye additions and trained personnel. -
Genomic-Wide Copy Number Variation Profile and a New IKZF1 Gene Variation in Chinese Adult Acute Lymphoblastic Leukemia
Research Article Clinics in Oncology Published: 02 Mar, 2021 Genomic-wide Copy Number Variation Profile and a New IKZF1 Gene Variation in Chinese Adult Acute Lymphoblastic Leukemia Tian Yuan1,2, Yingchan Wang1, Xiaoyan Li1, Yan Li1 and Yingchang Mi1* 1State Key Laboratory of Experimental Hematology, Chinese Academy of Medical Sciences and Peking Union Medical College, China 2Department of Hematology, Tianjin Medical University Cancer Institute and Hospital, China Abstract Purpose: Copy Number Variation (CNV) and Loss of Heterozygosity (LOH) were investigated in adult Chinese patients with Acute Lymphoblastic Leukemia (ALL), and these patients were screened for adult ALL prognostic genes. Methods: The CNV and LOH were detected with Affymetrix SNP 6.0 array. Using java and software R to construct the signal-net based on KEGG, enrichment the significant CNV genes associated with disease. Check the copy number variation of IKZF1 gene by FISH. Results: In Ph+ B-ALL patients, the most frequent CNVs were gain at chr13q, loss at chr6 and recurrent LOH at chr17p and 1p33. In Ph- B-ALL patients, the most frequent CNVs were gain at chr7, loss at chr9p and recurrent LOH at chr15q. In T-ALL, the most frequent CNVs were gain at chr20 and 7q, loss at chr2p and recurrent LOH also at chr15q. These CNV regions included several candidate genes such as IKZF1, JAK2, CDKN2A/2B, ETV6 etc. EGFR and IKBKG are in the center position of the Signal-Net, which may play essential role in ALL. The copy number amplification of IKZF1 gene is confirmed by FISH. OPEN ACCESS Discussion: CNV and LOH identification in adult ALL patients can identify susceptible genes, *Correspondence: guide diagnostic classification, and help with treatment selection.