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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Human Intelligence: Does It Depend on a Genetic Error?
This page was exported from - TheologyPlus Export date: Fri Sep 24 4:32:48 2021 / +0000 GMT Human Intelligence: Does It Depend on a Genetic Error? What makes humans different from the great apes? What makes our brains larger and more complex? We know that our DNA is remarkable similar to other mammals. What subtle genetic changes can explain such huge behavioral differences? One surprising possibility is that our brains are bigger and more complex not so much because of new genes but because of gene duplication. One gene in particular?SRGAP2?plays a role in how brain cells migrate. It is found widely in mammals of all sorts, from mice to humans. In the great apes, the more archaic form of SRGAP2 results in a relatively slow spread of neurons throughout the brain. Twice in the ancient past, however, SRGAP2 was duplicated, first about 3.4 million years ago and then again around 2.4 million years ago. The second duplication occurred right around the time when the genus Homo separated from Australopithecus. It appears that as a result of these duplications, brains in the Homo lineage?including our own as Homo sapiens?are both large and complex in their number of neuronal connections and in their ability to process information. A key piece of supporting evidence comes from recent discoveries of the role of SRGAP2 in the development of the human neocortex. When the distinctly human SRGAP2 variants are missing, normal human brain development is impaired. This research appears in two papers appearing May 3, 2012 in the journal Cell. -
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. -
Polleux SRGAP2 Qanda 09-19-16 FINAL
This Gene May Underpin Our Brain’s Extraordinary Abilities Scientists at Columbia’s Zuckerman Institute have shed light on how a single change to our genome had a significant impact on the evolution of the human brain To say that evolution is complex would be an understatement. But every once in a while, it can also be elegant in its simplicity. In a study published this June in Neuron, Zuckerman Institute Principal Investigator Franck Polleux, PhD, and colleagues described a stunning example of human evolution — one that may have guided the development of the human brain. We spoke with Dr. Polleux, the paper’s co-senior author, about his discovery. What propelled you to study human evolution? I have long been interested in understanding the genetic changes that drove the evolution of the human brain. It’s one of the biggest questions in biology: How did our brains develop the ability to create a piece of music or learn a language? Ultimately, the answers to these questions are encoded in our DNA — we just have to know where to find them. Within the last decade, researchers began to notice peculiarities in the human genome that we found intriguing. We called them human-specific gene duplications. What is a gene duplication? A gene duplication occurs when a single piece of DNA is copied and then inserted elsewhere in the genome. Gene duplications occur in all living organisms. But scientists have recently identified more than 30 gene duplications that are unique to humans. Early on, we speculated that because these particular duplications are found only in the human genome, they might be tied to some of our uniquely human traits — both of brain development and function — that ultimately allow for the emergence of cognitive abilities such creativity, language and problem-solving. -
Palmitic Acid Effects on Hypothalamic Neurons
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454666; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Running title: Oleic and palmitic acid effects on hypothalamic neurons Concentration-dependent change in hypothalamic neuronal transcriptome by the dietary fatty acids: oleic and palmitic acids Fabiola Pacheco Valencia1^, Amanda F. Marino1^, Christos Noutsos1, Kinning Poon1* 1Department of Biological Sciences, SUNY Old Westbury, Old Westbury NY, United States ^Authors contributed equally to this work *Corresponding Author: Kinning Poon 223 Store Hill Rd Old Westbury, NY 11568, USA 1-516-876-2735 [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454666; this version posted August 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Prenatal high-fat diet exposure increases hypothalamic neurogenesis events in embryos and programs offspring to be obesity-prone. The molecular mechanism involved in these dietary effects of neurogenesis are unknown. This study investigated the effects of oleic and palmitic acids, which are abundant in a high-fat diet, on the hypothalamic neuronal transcriptome and how these changes impact neurogenesis events. The results show differential effects of low and high concentrations of oleic or palmitic acid treatment on differential gene transcription. -
The Hominoid-Specific Gene TBC1D3 Promotes Generation of Basal Neural
1 The hominoid-specific gene TBC1D3 promotes generation of basal neural 2 progenitors and induces cortical folding in mice 3 4 Xiang-Chun Ju1,3,9, Qiong-Qiong Hou1,3,9, Ai-Li Sheng1, Kong-Yan Wu1, Yang Zhou8, 5 Ying Jin8, Tieqiao Wen7, Zhengang Yang6, Xiaoqun Wang2,5, Zhen-Ge Luo1,2,3,4 6 7 1Institute of Neuroscience, State Key Laboratory of Neuroscience, Shanghai Institutes for 8 Biological Sciences, Chinese Academy of Sciences, Shanghai, China. 9 2CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 10 China. 11 3Chinese Academy of Sciences University, Beijing, China. 12 4ShanghaiTech University, Shanghai, China 13 5Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. 14 6Institutes of Brain Science, State Key Laboratory of Medical Neurobiology, Fudan 15 University, Shanghai, China. 16 7School of Life Sciences, Shanghai University, Shanghai, China. 17 8The Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese 18 Academy of Sciences, Shanghai, China. 19 9Co-first author 20 Correspondence should be addressed to Z.G.L ([email protected]) 21 22 Author contributions 23 X.-C.J and Q.-Q. H performed most experiments, analyzed data and wrote the paper. 24 A.-L.S helped with in situ hybridization. K.-Y.W assisted with imaging analysis. T.W 25 helped with the construction of nestin promoter construct. Y. Z and Y. J helped with 26 ReNeuron cell culture and analysis. Z.Y provided human fetal samples and assisted with 1 27 immunohistochemistry analysis. X.W provided help with live-imaging analysis. Z.-G.L 28 supervised the whole study, designed the research, analyzed data and wrote the paper. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
Segmental Duplications and Their Variation in a Complete Human Genome
Segmental duplications and their variation in a complete human genome Mitchell R. Vollger1, Xavi Guitart1, Philip C. Dishuck1, Ludovica Mercuri2, William T. Harvey1, Ariel Gershman3, Mark Diekhans4, Arvis Sulovari1, Katherine M. Munson1, Alexandra M. Lewis1, Kendra Hoekzema1, David Porubsky1, Ruiyang Li1, Sergey Nurk5, Sergey Koren5, Karen H. Miga4, Adam M. Phillippy5, Winston Timp3, Mario Ventura2, Evan E. Eichler1,6 1. Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA 2. Department of Biology, University of Bari, Aldo Moro, Bari 70125, Italy 3. Department of Molecular Biology and Genetics, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA 4. UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA 5. Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA 6. Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA Supplemental Notes Supplemental note 1: We report 81.3 Mbp of SD sequence that overlaps with the new or structurally variable sequence in T2T-CHM13 assembly. This differs from the 68.3 Mbp reported by Nurk et al. (1) because we considered all SDs that overlapped with new sequence whereas Nurk et al. uses a strict intersection. For example, if a 75 kbp SD overlapped 50 kbp of new sequence we would report 75 kbp of new SD sequence whereas Nurk et al. would report 50 kbp. Supplemental note 2: Nurk et al. reports 140 new protein-coding genes (1), and we report 182 new genes with multiple exons and an open reading frame (ORF). -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo -
Transcriptional Fates of Human-Specific Segmental Duplications in Brain
Downloaded from genome.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Method Transcriptional fates of human-specific segmental duplications in brain Max L. Dougherty,1,7 Jason G. Underwood,1,2,7 Bradley J. Nelson,1 Elizabeth Tseng,2 Katherine M. Munson,1 Osnat Penn,1 Tomasz J. Nowakowski,3,4 Alex A. Pollen,5 and Evan E. Eichler1,6 1Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA; 2Pacific Biosciences (PacBio) of California, Incorporated, Menlo Park, California 94025, USA; 3Department of Anatomy, 4Department of Psychiatry, 5Department of Neurology, University of California, San Francisco, San Francisco, California 94158, USA; 6Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA Despite the importance of duplicate genes for evolutionary adaptation, accurate gene annotation is often incomplete, in- correct, or lacking in regions of segmental duplication. We developed an approach combining long-read sequencing and hybridization capture to yield full-length transcript information and confidently distinguish between nearly identical genes/paralogs. We used biotinylated probes to enrich for full-length cDNA from duplicated regions, which were then am- plified, size-fractionated, and sequenced using single-molecule, long-read sequencing technology, permitting us to distin- guish between highly identical genes by virtue of multiple paralogous sequence variants. We examined 19 gene families as expressed in developing and adult human brain, selected for their high sequence identity (average >99%) and overlap with human-specific segmental duplications (SDs). We characterized the transcriptional differences between related paralogs to better understand the birth–death process of duplicate genes and particularly how the process leads to gene innovation. -
Next-MP50 Status Report
The neXt-50 Challenge Status report and acceptance of next-50 Challenge by individual Chromosome groups February 24, 2017. Chromosome 1 (Ping Xu) PIC Leaders: Ping Xu, Fuchu He Contributing labs: Ping Xu, Beijing Proteome Research Center Fuchu He, Beijing Proteome Research Center Dong Yang, Beijing Proteome Research Center Wantao Ying, Beijing Proteome Research Center Pengyuan Yang, Fudan University Siqi Liu, Beijing Genome Institute Qinyu He, Jinan University Major lab members or partners contributing to the neXt50: Yao Zhang (Beijing Proteome Research Center), Yihao Wang (Beijing Proteome Research Center), Cuitong He (Beijing Proteome Research Center), Wei Wei (Beijing Proteome Research Center), Yanchang Li (Beijing Proteome Research Center), Feng Xu (Beijing Proteome Research Center), Xuehui Peng (Beijing Proteome Research Center). Status of the Chromosome “parts list”: Step by step milestone plan to find, identify and validate MPs 1. We try to identify more missing proteins through high coverage proteomics technology with testis samples. We will finish this project before May. 2. We tested and confirmed that PTM approach could identify significant number of missing proteins. We will finalize the data sets before May. C-HPP 2017-03-31 The neXt-50 Challenge Chromosome 2 See combined response and work plan with Chromosome 14. Chromosome 3 (Takeshi Kawamura) PIC Leaders: Takeshi Kawamura (since January 1) Contributing labs: Major lab members or partners contributing to the neXt50: Takeshi Kawamura: Associate Professor, Proteomics Laboratory, Isotope Science Center, The University of Tokyo, Tokyo, Japan. Toshihide Nishimura: Professor, Department of Translational Medicine Informatics, St. Marianna University School of Medicine, Kanagawa, Japan. Hiromasa Tojo: Associate Professor, Department of Biophysics and Biochemistry, Osaka University; Graduate School of Medicine, Osaka, Japan. -
Genetic Changes Shaping the Human Brain.Pdf
Developmental Cell Review Genetic Changes Shaping the Human Brain Byoung-Il Bae,1 Divya Jayaraman,1 and Christopher A. Walsh1,* 1Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Boston, MA 02115, USA; and Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA *Correspondence: [email protected] http://dx.doi.org/10.1016/j.devcel.2015.01.035 The development and function of our brain are governed by a genetic blueprint, which reflects dynamic changes over the history of evolution. Recent progress in genetics and genomics, facilitated by next-gener- ation sequencing and single-cell sorting, has identified numerous genomic loci that are associated with a neuroanatomical or neurobehavioral phenotype. Here, we review some of the genetic changes in both pro- tein-coding and noncoding regions that affect brain development and evolution, as well as recent progress in brain transcriptomics. Understanding these genetic changes may provide novel insights into neurological and neuropsychiatric disorders, such as autism and schizophrenia. All life forms develop, reproduce, and age based on their genetic changes affecting the development and evolution of the human blueprint. The human genetic blueprint is written in approximately neocortex. three billion base pairs (bp) and contains protein-coding genes (estimated at 21,000 or fewer), RNA genes (e.g., microRNAs,