Alterations in Expression of Endometrial Genes Coding for Proteins Secreted Into the Uterine Lumen During Conceptus Elongation I
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Bayesian GWAS and Network Analysis Revealed New Candidate Genes for Number of Teats in Pigs
J Appl Genetics DOI 10.1007/s13353-014-0240-y ANIMAL GENETICS • ORIGINAL PAPER Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs L. L. Verardo & F. F. Silva & L. Varona & M. D. V. Resende & J. W. M. Bastiaansen & P. S. Lopes & S. E. F. Guimarães Received: 7 March 2014 /Revised: 27 May 2014 /Accepted: 23 July 2014 # Institute of Plant Genetics, Polish Academy of Sciences, Poznan 2014 Abstract The genetic improvement of reproductive traits comparisons based on deviance posterior distribution indicat- such as the number of teats is essential to the success of the ed the superiority of Gaussian model. In general, our results pig industry. As opposite to most SNP association studies that suggest the presence of 19 significant SNPs, which mapped consider continuous phenotypes under Gaussian assumptions, 13 genes. Besides, we predicted gene interactions through this trait is characterized as a discrete variable, which could networks that are consistent with the mammals known breast potentially follow other distributions, such as the Poisson. biology (e.g., development of prolactin receptor signaling, and Therefore, in order to access the complexity of a counting cell proliferation), captured known regulation binding sites, random regression considering all SNPs simultaneously as and provided candidate genes for that trait (e.g., TINAGL1 covariate under a GWAS modeling, the Bayesian inference and ICK). tools become necessary. Currently, another point that deserves to be highlighted in GWAS is the genetic dissection of com- Keywords Counting data . Genes . Reproductive traits . SNP plex phenotypes through candidate genes network derived association from significant SNPs. -
Efficient Algorithms for Improving the Accuracy in Motifs Prediction Jerlin C
University of Connecticut OpenCommons@UConn Master's Theses University of Connecticut Graduate School 9-19-2012 Efficient Algorithms for Improving the Accuracy in Motifs Prediction Jerlin C. Merlin [email protected] Recommended Citation Merlin, Jerlin C., "Efficient Algorithms for Improving the Accuracy in Motifs Prediction" (2012). Master's Theses. 351. https://opencommons.uconn.edu/gs_theses/351 This work is brought to you for free and open access by the University of Connecticut Graduate School at OpenCommons@UConn. It has been accepted for inclusion in Master's Theses by an authorized administrator of OpenCommons@UConn. For more information, please contact [email protected]. Efficient Algorithms for Improving the Accuracy in Motifs Prediction Jerlin Camilus Merlin B. E., Anna University, India, 2005 A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science At The University of Connecticut 2012 Copyright by Jerlin Camilus Merlin 2012 APPROVAL PAGE Master of Science Thesis Efficient Algorithms for Improving the Accuracy in Motifs Prediction Presented by Jerlin Camilus Merlin, B.E. Major Advisor _____________________________________________________ Dr. Sanguthevar Rajasekaran Associate Advisor__________________________________________________ Dr. Reda A. Ammar Associate Advisor__________________________________________________ Dr. Chun-Hsi Huang University of Connecticut 2012 ii PREFACE The Master of Science Thesis “Efficient Algorithms for Improving the Accuracy in Motifs Prediction” is a part of the research conducted at the Department of Computer Science and Engineering, University of Connecticut. The computing facilities at the department of Computer Science and Engineering and Booth Engineering Center for Advanced Technologies (BECAT) were used for the purpose of this research. No human or animal subjects were involved in this research. -
Comparative Transcriptome Profiling of the Human and Mouse Dorsal Root Ganglia: an RNA-Seq-Based Resource for Pain and Sensory Neuroscience Research
bioRxiv preprint doi: https://doi.org/10.1101/165431; this version posted October 13, 2017. 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. Title: Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research Short Title: Human and mouse DRG comparative transcriptomics Pradipta Ray 1, 2 #, Andrew Torck 1 , Lilyana Quigley 1, Andi Wangzhou 1, Matthew Neiman 1, Chandranshu Rao 1, Tiffany Lam 1, Ji-Young Kim 1, Tae Hoon Kim 2, Michael Q. Zhang 2, Gregory Dussor 1 and Theodore J. Price 1, # 1 The University of Texas at Dallas, School of Behavioral and Brain Sciences 2 The University of Texas at Dallas, Department of Biological Sciences # Corresponding authors Theodore J Price Pradipta Ray School of Behavioral and Brain Sciences School of Behavioral and Brain Sciences The University of Texas at Dallas The University of Texas at Dallas BSB 14.102G BSB 10.608 800 W Campbell Rd 800 W Campbell Rd Richardson TX 75080 Richardson TX 75080 972-883-4311 972-883-7262 [email protected] [email protected] Number of pages: 27 Number of figures: 9 Number of tables: 8 Supplementary Figures: 4 Supplementary Files: 6 Word count: Abstract = 219; Introduction = 457; Discussion = 1094 Conflict of interest: The authors declare no conflicts of interest Patient anonymity and informed consent: Informed consent for human tissue sources were obtained by Anabios, Inc. (San Diego, CA). Human studies: This work was approved by The University of Texas at Dallas Institutional Review Board (MR 15-237). -
Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones). -
Genome-Wide Associations and Detection of Potential Candidate
Yin and König Genet Sel Evol (2019) 51:4 https://doi.org/10.1186/s12711-018-0444-4 Genetics Selection Evolution RESEARCH ARTICLE Open Access Genome-wide associations and detection of potential candidate genes for direct genetic and maternal genetic efects infuencing dairy cattle body weight at diferent ages Tong Yin and Sven König* Abstract Background: Body weight (BW) at diferent ages are of increasing importance in dairy cattle breeding schemes, because of their strong correlation with energy efciency traits, and their impact on cow health, longevity and farm economy. In total, 15,921 dairy cattle from 56 large-scale test-herds with BW records were genotyped for 45,613 single nucleotide polymorphisms (SNPs). This dataset was used for genome-wide association studies (GWAS), in order to localize potential candidate genes for direct and maternal genetic efects on BW recorded at birth (BW0), at 2 to 3 months of age (BW23), and at 13 to 14 months of age (BW1314). Results: The frst 20 principal components (PC) of the genomic relationship matrix ( G ) grouped the genotyped cattle into three clusters. In the statistical models used for GWAS, correction for population structure was done by including polygenic efects with various genetic similarity matrices, such as the pedigree-based relationship matrix ( A ), the G -matrix, the reduced G-matrix LOCO (i.e. exclusion of the chromosome on which the candidate SNP is located), and LOCO plus chromosome-wide PC. Infation factors for direct genetic efects using A and LOCO were larger than 1.17. For G and LOCO plus chromosome-wide PC, infation factors were very close to 1.0. -
Mouse Tinagl1 Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Tinagl1 Knockout Project (CRISPR/Cas9) Objective: To create a Tinagl1 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Tinagl1 gene (NCBI Reference Sequence: NM_023476 ; Ensembl: ENSMUSG00000028776 ) is located on Mouse chromosome 4. 12 exons are identified, with the ATG start codon in exon 2 and the TGA stop codon in exon 12 (Transcript: ENSMUST00000105998). Exon 2~12 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Female mice homozygous for a null mutation display impaired fertility and homozygous pups born to homozygous females show impaired postnatal survival. Exon 2 starts from about 0.07% of the coding region. Exon 2~12 covers 100.0% of the coding region. The size of effective KO region: ~8130 bp. The KO region does not have any other known gene. Page 1 of 9 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 4 5 6 7 8 9 10 11 12 Legends Exon of mouse Tinagl1 Knockout region Page 2 of 9 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of start codon is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix. So this region is suitable for PCR screening or sequencing analysis. -
CREB-Dependent Transcription in Astrocytes: Signalling Pathways, Gene Profiles and Neuroprotective Role in Brain Injury
CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Tesis doctoral Luis Pardo Fernández Bellaterra, Septiembre 2015 Instituto de Neurociencias Departamento de Bioquímica i Biologia Molecular Unidad de Bioquímica y Biologia Molecular Facultad de Medicina CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Memoria del trabajo experimental para optar al grado de doctor, correspondiente al Programa de Doctorado en Neurociencias del Instituto de Neurociencias de la Universidad Autónoma de Barcelona, llevado a cabo por Luis Pardo Fernández bajo la dirección de la Dra. Elena Galea Rodríguez de Velasco y la Dra. Roser Masgrau Juanola, en el Instituto de Neurociencias de la Universidad Autónoma de Barcelona. Doctorando Directoras de tesis Luis Pardo Fernández Dra. Elena Galea Dra. Roser Masgrau In memoriam María Dolores Álvarez Durán Abuela, eres la culpable de que haya decidido recorrer el camino de la ciencia. Que estas líneas ayuden a conservar tu recuerdo. A mis padres y hermanos, A Meri INDEX I Summary 1 II Introduction 3 1 Astrocytes: physiology and pathology 5 1.1 Anatomical organization 6 1.2 Origins and heterogeneity 6 1.3 Astrocyte functions 8 1.3.1 Developmental functions 8 1.3.2 Neurovascular functions 9 1.3.3 Metabolic support 11 1.3.4 Homeostatic functions 13 1.3.5 Antioxidant functions 15 1.3.6 Signalling functions 15 1.4 Astrocytes in brain pathology 20 1.5 Reactive astrogliosis 22 2 The transcription -
Detecting Methylation Signatures in Neurodegenerative Disease by Density‑Based Clustering of Applications with Reducing Noise Saurav Mallik1 & Zhongming Zhao1,2,3*
www.nature.com/scientificreports OPEN Detecting methylation signatures in neurodegenerative disease by density‑based clustering of applications with reducing noise Saurav Mallik1 & Zhongming Zhao1,2,3* There have been numerous genetic and epigenetic datasets generated for the study of complex disease including neurodegenerative disease. However, analysis of such data often sufers from detecting the outliers of the samples, which subsequently afects the extraction of the true biological signals involved in the disease. To address this critical issue, we developed a novel framework for identifying methylation signatures using consecutive adaptation of a well‑known outlier detection algorithm, density based clustering of applications with reducing noise (DBSCAN) followed by hierarchical clustering. We applied the framework to two representative neurodegenerative diseases, Alzheimer’s disease (AD) and Down syndrome (DS), using DNA methylation datasets from public sources (Gene Expression Omnibus, GEO accession ID: GSE74486). We frst applied DBSCAN algorithm to eliminate outliers, and then used Limma statistical method to determine diferentially methylated genes. Next, hierarchical clustering technique was applied to detect gene modules. Our analysis identifed a methylation signature comprising 21 genes for AD and a methylation signature comprising 89 genes for DS, respectively. Our evaluation indicated that these two signatures could lead to high classifcation accuracy values (92% and 70%) for these two diseases. In summary, this framework will be useful to better detect outlier‑free genetic and epigenetic signatures in various complex diseases and their developmental stages. Te past 2 decades have witnessed exponential growth of genetic and epigenetic data generation, which sub- stantially helps the advancement of biological and biomedical research. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
The Pdx1 Bound Swi/Snf Chromatin Remodeling Complex Regulates Pancreatic Progenitor Cell Proliferation and Mature Islet Β Cell
Page 1 of 125 Diabetes The Pdx1 bound Swi/Snf chromatin remodeling complex regulates pancreatic progenitor cell proliferation and mature islet β cell function Jason M. Spaeth1,2, Jin-Hua Liu1, Daniel Peters3, Min Guo1, Anna B. Osipovich1, Fardin Mohammadi3, Nilotpal Roy4, Anil Bhushan4, Mark A. Magnuson1, Matthias Hebrok4, Christopher V. E. Wright3, Roland Stein1,5 1 Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 2 Present address: Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 3 Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 4 Diabetes Center, Department of Medicine, UCSF, San Francisco, California 5 Corresponding author: [email protected]; (615)322-7026 1 Diabetes Publish Ahead of Print, published online June 14, 2019 Diabetes Page 2 of 125 Abstract Transcription factors positively and/or negatively impact gene expression by recruiting coregulatory factors, which interact through protein-protein binding. Here we demonstrate that mouse pancreas size and islet β cell function are controlled by the ATP-dependent Swi/Snf chromatin remodeling coregulatory complex that physically associates with Pdx1, a diabetes- linked transcription factor essential to pancreatic morphogenesis and adult islet-cell function and maintenance. Early embryonic deletion of just the Swi/Snf Brg1 ATPase subunit reduced multipotent pancreatic progenitor cell proliferation and resulted in pancreas hypoplasia. In contrast, removal of both Swi/Snf ATPase subunits, Brg1 and Brm, was necessary to compromise adult islet β cell activity, which included whole animal glucose intolerance, hyperglycemia and impaired insulin secretion. Notably, lineage-tracing analysis revealed Swi/Snf-deficient β cells lost the ability to produce the mRNAs for insulin and other key metabolic genes without effecting the expression of many essential islet-enriched transcription factors. -
Viruses.STRING: a Virus-Host Protein-Protein Interaction Database
Viruses.STRING A Virus-Host Protein-Protein Interaction Database Cook, Helen Victoria; Doncheva, Nadezhda Tsankova; Szklarczyk, Damian; von Mering, Christian; Jensen, Lars Juhl Published in: Viruses DOI: 10.3390/v10100519 Publication date: 2018 Document version Publisher's PDF, also known as Version of record Citation for published version (APA): Cook, H. V., Doncheva, N. T., Szklarczyk, D., von Mering, C., & Jensen, L. J. (2018). Viruses.STRING: A Virus- Host Protein-Protein Interaction Database. Viruses, 10(10), 1-11. [519]. https://doi.org/10.3390/v10100519 Download date: 03. okt.. 2021 Article Viruses.STRING: A Virus-Host Protein-Protein Interaction Database Helen Victoria Cook 1 , Nadezhda Tsankova Doncheva 1,2 , Damian Szklarczyk 3, Christian von Mering 3 and Lars Juhl Jensen 1,* 1 Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, DK-2200 Copenhagen N, Danmark; [email protected] (H.V.C.); [email protected] (N.T.D.) 2 Center for Non-Coding RNA in Technology and Health, University of Copenhagen, 1870 Frederiksberg C, Danmark 3 Swiss Institute of Bioinformatics, University of Zurich, 8006 Zurich, Switzerland; [email protected] (D.S.); [email protected] (C.v.M.) * Correspondence: [email protected] Received: 3 September 2018; Accepted: 20 September 2018; Published: 23 September 2018 Abstract: As viruses continue to pose risks to global health, having a better understanding of virus–host protein–protein interactions aids in the development of treatments and vaccines. Here, we introduce Viruses.STRING, a protein–protein interaction database specifically catering to virus–virus and virus–host interactions. -
Clinical Factors That Influence the Cellular Responses of Saphenous
Clinical factors that influence the cellular responses of saphenous veins used for arterial bypass Michael Sobel, MD,a,b Shinsuke Kikuchi, MD,c Lihua Chen,b Gale L. Tang, MD,a,b Tom N. Wight, PhD,d and Richard D. Kenagy, PhD,b Seattle, Wash; and Asahikawa, Japan ABSTRACT Objective: When an autogenous vein is harvested and used for arterial bypass, it suffers physical and biologic injuries that may set in motion the cellular processes that lead to wall thickening, fibrosis, stenosis, and ultimately graft failure. Whereas the injurious effects of surgical preparation of the vein conduit have been extensively studied, little is known about the influence of the clinical environment of the donor leg from which the vein is obtained. Methods: We studied the cellular responses of fresh saphenous vein samples obtained before implantation in 46 patients undergoing elective lower extremity bypass surgery. Using an ex vivo model of response to injury, we quantified the outgrowth of cells from explants of the adventitial and medial layers of the vein. We correlated this cellular outgrowth with the clinical characteristics of the patients, including the Wound, Ischemia, and foot Infection classification of the donor leg for ischemia, wounds, and infection as well as smoking and diabetes. Results: Cellular outgrowth was significantly faster and more robust from the adventitial layer than from the medial layer. The factors of leg ischemia (P < .001), smoking (P ¼ .042), and leg infection (P ¼ .045) were associated with impaired overall outgrowth from the adventitial tissue on multivariable analysis. Only ischemia (P ¼ .046) was associated with impaired outgrowth of smooth muscle cells (SMCs) from the medial tissue.