Transcriptional Fates of Human-Specific Segmental Duplications in Brain
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Differences Between Human and Chimpanzee Genomes and Their Implications in Gene Expression, Protein Functions and Biochemical Properties of the Two Species Maria V
Suntsova and Buzdin BMC Genomics 2020, 21(Suppl 7):535 https://doi.org/10.1186/s12864-020-06962-8 REVIEW Open Access Differences between human and chimpanzee genomes and their implications in gene expression, protein functions and biochemical properties of the two species Maria V. Suntsova1 and Anton A. Buzdin1,2,3,4* From 11th International Young Scientists School “Systems Biology and Bioinformatics”–SBB-2019 Novosibirsk, Russia. 24-28 June 2019 Abstract Chimpanzees are the closest living relatives of humans. The divergence between human and chimpanzee ancestors dates to approximately 6,5–7,5 million years ago. Genetic features distinguishing us from chimpanzees and making us humans are still of a great interest. After divergence of their ancestor lineages, human and chimpanzee genomes underwent multiple changes including single nucleotide substitutions, deletions and duplications of DNA fragments of different size, insertion of transposable elements and chromosomal rearrangements. Human-specific single nucleotide alterations constituted 1.23% of human DNA, whereas more extended deletions and insertions cover ~ 3% of our genome. Moreover, much higher proportion is made by differential chromosomal inversions and translocations comprising several megabase-long regions or even whole chromosomes. However, despite of extensive knowledge of structural genomic changes accompanying human evolution we still cannot identify with certainty the causative genes of human identity. Most structural gene-influential changes happened at the level of expression regulation, which in turn provoked larger alterations of interactome gene regulation networks. In this review, we summarized the available information about genetic differences between humans and chimpanzees and their potential functional impacts on differential molecular, anatomical, physiological and cognitive peculiarities of these species. -
Novel Genetic Features of Human and Mouse Purkinje Cell Differentiation Defined by Comparative Transcriptomics
Novel genetic features of human and mouse Purkinje cell differentiation defined by comparative transcriptomics David E. Buchholza, Thomas S. Carrollb, Arif Kocabasa, Xiaodong Zhua, Hourinaz Behestia, Phyllis L. Faustc, Lauren Stalbowa, Yin Fanga, and Mary E. Hattena,1 aLaboratory of Developmental Neurobiology, The Rockefeller University, New York, NY 10065; bBioinformatics Resource Center, The Rockefeller University, New York, NY 10065; and cDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center and the New York Presbyterian Hospital, New York, NY 10032 Contributed by Mary E. Hatten, April 22, 2020 (sent for review January 3, 2020; reviewed by Lorenz Studer and Hynek Wichterle) Comparative transcriptomics between differentiating human plu- is ataxia-telangiectasia, which shows massive loss of PCs in hu- ripotent stem cells (hPSCs) and developing mouse neurons offers a mans but not in the mouse (11). Human pluripotent stem cells powerful approach to compare genetic and epigenetic pathways (hPSCs) provide a complementary approach to studying human in human and mouse neurons. To analyze human Purkinje cell disease in the mouse (12–14). Validated methods to derive (PC) differentiation, we optimized a protocol to generate human specific neural subtypes from hPSCs are necessary prerequisites pluripotent stem cell-derived Purkinje cells (hPSC-PCs) that formed to disease modeling. We and others have recently developed synapses when cultured with mouse cerebellar glia and granule protocols to derive PCs from hPSCs (15–18). cells and fired large calcium currents, measured with the geneti- One limitation of most hPSC-derived central nervous system cally encoded calcium indicator jRGECO1a. To directly compare (CNS) neurons is the lack of genetic information, especially of global gene expression of hPSC-PCs with developing mouse PCs, transcriptomic signatures, to rigorously identify specific types of we used translating ribosomal affinity purification (TRAP). -
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. -
Location Analysis of Estrogen Receptor Target Promoters Reveals That
Location analysis of estrogen receptor ␣ target promoters reveals that FOXA1 defines a domain of the estrogen response Jose´ e Laganie` re*†, Genevie` ve Deblois*, Ce´ line Lefebvre*, Alain R. Bataille‡, Franc¸ois Robert‡, and Vincent Gigue` re*†§ *Molecular Oncology Group, Departments of Medicine and Oncology, McGill University Health Centre, Montreal, QC, Canada H3A 1A1; †Department of Biochemistry, McGill University, Montreal, QC, Canada H3G 1Y6; and ‡Laboratory of Chromatin and Genomic Expression, Institut de Recherches Cliniques de Montre´al, Montreal, QC, Canada H2W 1R7 Communicated by Ronald M. Evans, The Salk Institute for Biological Studies, La Jolla, CA, July 1, 2005 (received for review June 3, 2005) Nuclear receptors can activate diverse biological pathways within general absence of large scale functional data linking these putative a target cell in response to their cognate ligands, but how this binding sites with gene expression in specific cell types. compartmentalization is achieved at the level of gene regulation is Recently, chromatin immunoprecipitation (ChIP) has been used poorly understood. We used a genome-wide analysis of promoter in combination with promoter or genomic DNA microarrays to occupancy by the estrogen receptor ␣ (ER␣) in MCF-7 cells to identify loci recognized by transcription factors in a genome-wide investigate the molecular mechanisms underlying the action of manner in mammalian cells (20–24). This technology, termed 17-estradiol (E2) in controlling the growth of breast cancer cells. ChIP-on-chip or location analysis, can therefore be used to deter- We identified 153 promoters bound by ER␣ in the presence of E2. mine the global gene expression program that characterize the Motif-finding algorithms demonstrated that the estrogen re- action of a nuclear receptor in response to its natural ligand. -
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, -
Targeted Exome Sequencing Provided Comprehensive Genetic Diagnosis of Congenital Anomalies of the Kidney and Urinary Tract
Journal of Clinical Medicine Article Targeted Exome Sequencing Provided Comprehensive Genetic Diagnosis of Congenital Anomalies of the Kidney and Urinary Tract 1,2, 3,4, 3 1,5 Yo Han Ahn y, Chung Lee y, Nayoung K. D. Kim , Eujin Park , Hee Gyung Kang 1,2,6,* , Il-Soo Ha 1,2,6, Woong-Yang Park 3,4,7 and Hae Il Cheong 1,2,6 1 Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea; [email protected] (Y.H.A.); [email protected] (E.P.); [email protected] (I.-S.H.); [email protected] (H.I.C.) 2 Department of Pediatrics, Seoul National University Children’s Hospital, Seoul 03080, Korea 3 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea; [email protected] (C.L.); [email protected] (N.K.D.K.); [email protected] (W.-Y.P.) 4 Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea 5 Department of Pediatrics, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07441, Korea 6 Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul 03080, Korea 7 Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon 16419, Korea * Correspondence: [email protected] These authors equally contributed to this article. y Received: 31 January 2020; Accepted: 8 March 2020; Published: 10 March 2020 Abstract: Congenital anomalies of the kidney and urinary tract (CAKUT) are the most common cause of chronic kidney disease in children. -
Molecular Evolutionary Routes That Lead to Innovations
International Journal of Evolutionary Biology Molecular Evolutionary Routes That Lead to Innovations Guest Editors: Frédéric Brunet, Hideki Innan, Ben-Yang Liao, and Wen Wang Molecular Evolutionary Routes That Lead to Innovations International Journal of Evolutionary Biology Molecular Evolutionary Routes That Lead to Innovations Guest Editors: Fred´ eric´ Brunet, Hideki Innan, Ben-YangLiao, and Wen Wang Copyright © 2012 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “International Journal of Evolutionary Biology.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editorial Board Giacomo Bernardi, USA Kazuho Ikeo, Japan Jeffrey R. Powell, USA Terr y Burke, UK Yoh Iwasa, Japan Hudson Kern Reeve, USA Ignacio Doadrio, Spain Henrik J. Jensen, UK Y. Satta, Japan Simon Easteal, Australia Amitabh Joshi, India Koji Tamura, Japan Santiago F. Elena, Spain Hirohisa Kishino, Japan Yoshio Tateno, Japan Renato Fani, Italy A. Moya, Spain E. N. Trifonov, Israel Dmitry A. Filatov, UK G. Pesole, Italy Eske Willerslev, Denmark F. Gonzalez-Candelas,´ Spain I. Popescu, USA Shozo Yokoyama, Japan D. Graur, USA David Posada, Spain Contents Molecular Evolutionary Routes That Lead to Innovations,Fred´ eric´ Brunet, Hideki Innan, Ben-Yang Liao, and Wen Wang Volume 2012, Article ID 483176, 2 pages Purifying Selection Bias against Microsatellites in Gene -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
Differential Gene Expression in Patients with Prostate Cancer and in Patients with Parkinson Disease: an Example of Inverse Comorbidity
Differential Gene Expression in Patients With Prostate Cancer and in Patients With Parkinson Disease: an Example of Inverse Comorbidity Pietro Pepe Ospedale Cannizzaro Simona Vetrano Ospedale Cannizzaro Rossella Cannarella University of Catania Aldo E Calogero University of Catania Giovanna Marchese University of Salerno Maria Ravo University of Salerno Filippo Fraggetta Ospedale Cannizzaro Ludovica Pepe Ospedale Cannizzaro Michele Pennisi Ospedale Cannizzaro Corrado Romano Oasi Maria SS Raffaele Ferri Oasi Maria SS Michele Salemi ( [email protected] ) Oasi Maria SS Research Article Keywords: Prostate cancer, Parkinson disease, Inverse comorbidity, NGS Posted Date: March 11th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-289371/v1 Page 1/11 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 2/11 Abstract Prostate cancer (PCa) is one of the leading causes of death in Western countries. Environmental and genetic factors play a pivotal role in PCa etiology. Timely identication of the genetic causes is useful for an early diagnosis. Parkinson’s disease (PD) is the most frequent neurodegenerative movement disorder; it is associated with the presence of Lewy bodies (LBs) and genetic factors are involved in its pathogenesis. Several studies have indicated that the expression of target genes in patients with PD is inversely related to cancer development; this phenomenon has been named “inverse comorbidity”. The present study was undertaken to evaluate whether a genetic dysregulation occurs in opposite directions in patients with PD or PCa. In the present study, next-generation sequencing (NGS) transcriptome analysis was used to assess whether a genetic dysregulation in opposite directions occurs in patients with PD or PCa. -
Placenta-Derived Exosomes Continuously Increase in Maternal
Sarker et al. Journal of Translational Medicine 2014, 12:204 http://www.translational-medicine.com/content/12/1/204 RESEARCH Open Access Placenta-derived exosomes continuously increase in maternal circulation over the first trimester of pregnancy Suchismita Sarker1, Katherin Scholz-Romero1, Alejandra Perez2, Sebastian E Illanes1,2,3, Murray D Mitchell1, Gregory E Rice1,2 and Carlos Salomon1,2* Abstract Background: Human placenta releases specific nanovesicles (i.e. exosomes) into the maternal circulation during pregnancy, however, the presence of placenta-derived exosomes in maternal blood during early pregnancy remains to be established. The aim of this study was to characterise gestational age related changes in the concentration of placenta-derived exosomes during the first trimester of pregnancy (i.e. from 6 to 12 weeks) in plasma from women with normal pregnancies. Methods: A time-series experimental design was used to establish pregnancy-associated changes in maternal plasma exosome concentrations during the first trimester. A series of plasma were collected from normal healthy women (10 patients) at 6, 7, 8, 9, 10, 11 and 12 weeks of gestation (n = 70). We measured the stability of these vesicles by quantifying and observing their protein and miRNA contents after the freeze/thawing processes. Exosomes were isolated by differential and buoyant density centrifugation using a sucrose continuous gradient and characterised by their size distribution and morphology using the nanoparticles tracking analysis (NTA; Nanosight™) and electron microscopy (EM), respectively. The total number of exosomes and placenta-derived exosomes were determined by quantifying the immunoreactive exosomal marker, CD63 and a placenta-specific marker (Placental Alkaline Phosphatase PLAP). -
Subterranean Mammals Show Convergent Regression in Ocular Genes and Enhancers, Along with Adaptation to Tunneling
RESEARCH ARTICLE Subterranean mammals show convergent regression in ocular genes and enhancers, along with adaptation to tunneling Raghavendran Partha1, Bharesh K Chauhan2,3, Zelia Ferreira1, Joseph D Robinson4, Kira Lathrop2,3, Ken K Nischal2,3, Maria Chikina1*, Nathan L Clark1* 1Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States; 2UPMC Eye Center, Children’s Hospital of Pittsburgh, Pittsburgh, United States; 3Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, United States; 4Department of Molecular and Cell Biology, University of California, Berkeley, United States Abstract The underground environment imposes unique demands on life that have led subterranean species to evolve specialized traits, many of which evolved convergently. We studied convergence in evolutionary rate in subterranean mammals in order to associate phenotypic evolution with specific genetic regions. We identified a strong excess of vision- and skin-related genes that changed at accelerated rates in the subterranean environment due to relaxed constraint and adaptive evolution. We also demonstrate that ocular-specific transcriptional enhancers were convergently accelerated, whereas enhancers active outside the eye were not. Furthermore, several uncharacterized genes and regulatory sequences demonstrated convergence and thus constitute novel candidate sequences for congenital ocular disorders. The strong evidence of convergence in these species indicates that evolution in this environment is recurrent and predictable and can be used to gain insights into phenotype–genotype relationships. DOI: https://doi.org/10.7554/eLife.25884.001 *For correspondence: [email protected] (MC); [email protected] (NLC) Competing interests: The Introduction authors declare that no The subterranean habitat has been colonized by numerous animal species for its shelter and unique competing interests exist.