Chapter 4 the Human Genome Project
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Glossary - Cellbiology
1 Glossary - Cellbiology Blotting: (Blot Analysis) Widely used biochemical technique for detecting the presence of specific macromolecules (proteins, mRNAs, or DNA sequences) in a mixture. A sample first is separated on an agarose or polyacrylamide gel usually under denaturing conditions; the separated components are transferred (blotting) to a nitrocellulose sheet, which is exposed to a radiolabeled molecule that specifically binds to the macromolecule of interest, and then subjected to autoradiography. Northern B.: mRNAs are detected with a complementary DNA; Southern B.: DNA restriction fragments are detected with complementary nucleotide sequences; Western B.: Proteins are detected by specific antibodies. Cell: The fundamental unit of living organisms. Cells are bounded by a lipid-containing plasma membrane, containing the central nucleus, and the cytoplasm. Cells are generally capable of independent reproduction. More complex cells like Eukaryotes have various compartments (organelles) where special tasks essential for the survival of the cell take place. Cytoplasm: Viscous contents of a cell that are contained within the plasma membrane but, in eukaryotic cells, outside the nucleus. The part of the cytoplasm not contained in any organelle is called the Cytosol. Cytoskeleton: (Gk. ) Three dimensional network of fibrous elements, allowing precisely regulated movements of cell parts, transport organelles, and help to maintain a cell’s shape. • Actin filament: (Microfilaments) Ubiquitous eukaryotic cytoskeletal proteins (one end is attached to the cell-cortex) of two “twisted“ actin monomers; are important in the structural support and movement of cells. Each actin filament (F-actin) consists of two strands of globular subunits (G-Actin) wrapped around each other to form a polarized unit (high ionic cytoplasm lead to the formation of AF, whereas low ion-concentration disassembles AF). -
The New Science of Metagenomics: Revealing the Secrets of Our Microbial Planet Is Available from the National Academies Press, 500 Fifth Street, NW, Washington, D.C
THE NATIONALA REPORTIN BRIEF C The New Science of Metagenomics Revealing the Secrets of Our Microbial Planet ADEMIES Although we can’t see them, microbes are essential for every part of human life— indeed all life on Earth. The emerging field of metagenomics provides a new way of viewing the microbial world that will not only transform modern microbiology, but also may revolu- tionize understanding of the entire living world. very part of the biosphere is impacted Eby the seemingly endless ability of microorganisms to transform the world around them. It is microorganisms, or microbes, that convert the key elements of life—carbon, nitrogen, oxygen, and sulfur—into forms accessible to other living things. They also make necessary nutrients, minerals, and vitamins available to plants and animals. The billions of microbes living in the human gut help humans digest food, break down toxins, and fight off disease-causing pathogens. Microbes also clean up pollutants in the environment, such as oil and Bacteria in human saliva. Trillions of chemical spills. All of these activities are carried bacteria make up the normal microbial com- out not by individual microbes but by complex munity found in and on the human body. microbial communities—intricate, balanced, and The new science of metagenomics can help integrated entities that have a remarkable ability to us understand the role of microbial commu- adapt swiftly to environmental change. nities in human health and the environment. Historically, microbiology has focused on (Image courtesy of Michael Abbey) single species in pure laboratory culture, and thus understanding of microbial communities has lagged behind understanding of their individual mem- bers. -
Bacterial Cell Membrane
BACTERIAL CELL MEMBRANE Dr. Rakesh Sharda Department of Veterinary Microbiology NDVSU College of Veterinary Sc. & A.H., MHOW CYTOPLASMIC MEMBRANE ➢The cytoplasmic membrane, also called a cell membrane or plasma membrane, is about 7 nanometers (nm; 1/1,000,000,000 m) thick. ➢It lies internal to the cell wall and encloses the cytoplasm of the bacterium. ➢It is the most dynamic structure of a prokaryotic cell. Structure of cell membrane ➢The structure of bacterial plasma membrane is that of unit membrane, i.e., a fluid phospholipid bilayer, composed of phospholipids (40%) and peripheral and integral proteins (60%) molecules. ➢The phospholipids of bacterial cell membranes do not contain sterols as in eukaryotes, but instead consist of saturated or monounsaturated fatty acids (rarely, polyunsaturated fatty acids). ➢Many bacteria contain sterol-like molecules called hopanoids. ➢The hopanoids most likely stabilize the bacterial cytoplasmic membrane. ➢The phospholipids are amphoteric molecules with a polar hydrophilic glycerol "head" attached via an ester bond to two non-polar hydrophobic fatty acid tails. ➢The phospholipid bilayer is arranged such that the polar ends of the molecules form the outermost and innermost surface of the membrane while the non-polar ends form the center of the membrane Fluid mosaic model ➢The plasma membrane contains proteins, sugars, and other lipids in addition to the phospholipids. ➢The model that describes the arrangement of these substances in lipid bilayer is called the fluid mosaic model ➢Dispersed within the bilayer are various structural and enzymatic proteins, which carry out most membrane functions. ➢Some membrane proteins are located and function on one side or another of the membrane (peripheral proteins). -
Whole Genome and Segmental Duplications Underlie Glutamine Synthetase and Phosphoenolpyruvate Carboxylase Diversity in Narrow-Leafed Lupin (Lupinus Angustifolius L.)
International Journal of Molecular Sciences Article A Tale of Two Families: Whole Genome and Segmental Duplications Underlie Glutamine Synthetase and Phosphoenolpyruvate Carboxylase Diversity in Narrow-Leafed Lupin (Lupinus angustifolius L.) Katarzyna B. Czy˙z 1,* , Michał Ksi ˛a˙zkiewicz 2 , Grzegorz Koczyk 1 , Anna Szczepaniak 2, Jan Podkowi ´nski 3 and Barbara Naganowska 2 1 Department of Biometry and Bioinformatics, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland; [email protected] 2 Department of Genomics, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland; [email protected] (M.K.); [email protected] (B.N.) 3 Department of Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland * Correspondence: [email protected] Received: 17 February 2020; Accepted: 6 April 2020; Published: 8 April 2020 Abstract: Narrow-leafed lupin (Lupinus angustifolius L.) has recently been supplied with advanced genomic resources and, as such, has become a well-known model for molecular evolutionary studies within the legume family—a group of plants able to fix nitrogen from the atmosphere. The phylogenetic position of lupins in Papilionoideae and their evolutionary distance to other higher plants facilitates the use of this model species to improve our knowledge on genes involved in nitrogen assimilation and primary metabolism, providing novel contributions to our understanding of the evolutionary history of legumes. In this study, we present a complex characterization of two narrow-leafed lupin gene families—glutamine synthetase (GS) and phosphoenolpyruvate carboxylase (PEPC). We combine a comparative analysis of gene structures and a synteny-based approach with phylogenetic reconstruction and reconciliation of the gene family and species history in order to examine events underlying the extant diversity of both families. -
Chapter 14: Functional Genomics Learning Objectives
Chapter 14: Functional Genomics Learning objectives Upon reading this chapter, you should be able to: ■ define functional genomics; ■ describe the key features of eight model organisms; ■ explain techniques of forward and reverse genetics; ■ discuss the relation between the central dogma and functional genomics; and ■ describe proteomics-based approaches to functional genomics. Outline : Functional genomics Introduction Relation between genotype and phenotype Eight model organisms E. coli; yeast; Arabidopsis; C. elegans; Drosophila; zebrafish; mouse; human Functional genomics using reverse and forward genetics Reverse genetics: mouse knockouts; yeast; gene trapping; insertional mutatgenesis; gene silencing Forward genetics: chemical mutagenesis Functional genomics and the central dogma Approaches to function; Functional genomics and DNA; …and RNA; …and protein Proteomic approaches to functional genomics CASP; protein-protein interactions; protein networks Perspective Albert Blakeslee (1874–1954) studied the effect of altered chromosome numbers on the phenotype of the jimson-weed Datura stramonium, a flowering plant. Introduction: Functional genomics Functional genomics is the genome-wide study of the function of DNA (including both genes and non-genic regions), as well as RNA and proteins encoded by DNA. The term “functional genomics” may apply to • the genome, transcriptome, or proteome • the use of high-throughput screens • the perturbation of gene function • the complex relationship of genotype and phenotype Functional genomics approaches to high throughput analyses Relationship between genotype and phenotype The genotype of an individual consists of the DNA that comprises the organism. The phenotype is the outward manifestation in terms of properties such as size, shape, movement, and physiology. We can consider the phenotype of a cell (e.g., a precursor cell may develop into a brain cell or liver cell) or the phenotype of an organism (e.g., a person may have a disease phenotype such as sickle‐cell anemia). -
Genomics and Its Impact on Science and Society: the Human Genome Project and Beyond
DOE/SC-0083 Genomics and Its Impact on Science and Society The Human Genome Project and Beyond U.S. Department of Energy Genome Research Programs: genomics.energy.gov A Primer ells are the fundamental working units of every living system. All the instructions Cneeded to direct their activities are contained within the chemical DNA (deoxyribonucleic acid). DNA from all organisms is made up of the same chemical and physical components. The DNA sequence is the particular side-by-side arrangement of bases along the DNA strand (e.g., ATTCCGGA). This order spells out the exact instruc- tions required to create a particular organism with protein complex its own unique traits. The genome is an organism’s complete set of DNA. Genomes vary widely in size: The smallest known genome for a free-living organism (a bac- terium) contains about 600,000 DNA base pairs, while human and mouse genomes have some From Genes to Proteins 3 billion (see p. 3). Except for mature red blood cells, all human cells contain a complete genome. Although genes get a lot of attention, the proteins DNA in each human cell is packaged into 46 chro- perform most life functions and even comprise the mosomes arranged into 23 pairs. Each chromosome is majority of cellular structures. Proteins are large, complex a physically separate molecule of DNA that ranges in molecules made up of chains of small chemical com- length from about 50 million to 250 million base pairs. pounds called amino acids. Chemical properties that A few types of major chromosomal abnormalities, distinguish the 20 different amino acids cause the including missing or extra copies or gross breaks and protein chains to fold up into specific three-dimensional rejoinings (translocations), can be detected by micro- structures that define their particular functions in the cell. -
Gene Prediction and Genome Annotation
A Crash Course in Gene and Genome Annotation Lieven Sterck, Bioinformatics & Systems Biology VIB-UGent [email protected] ProCoGen Dissemination Workshop, Riga, 5 nov 2013 “Conifer sequencing: basic concepts in conifer genomics” “This Project is financially supported by the European Commission under the 7th Framework Programme” Genome annotation: finding the biological relevant features on a raw genomic sequence (in a high throughput manner) ProCoGen Dissemination Workshop, Riga, 5 nov 2013 Thx to: BSB - annotation team • Lieven Sterck (Ectocarpus, higher plants, conifers, … ) • Yao-cheng Lin (Fungi, conifers, …) • Stephane Rombauts (green alga, mites, …) • Bram Verhelst (green algae) • Pierre Rouzé • Yves Van de Peer ProCoGen Dissemination Workshop, Riga, 5 nov 2013 Annotation experience • Plant genomes : A.thaliana & relatives (e.g. A.lyrata), Poplar, Physcomitrella patens, Medicago, Tomato, Vitis, Apple, Eucalyptus, Zostera, Spruce, Oak, Orchids … • Fungal genomes: Laccaria bicolor, Melampsora laricis- populina, Heterobasidion, other basidiomycetes, Glomus intraradices, Pichia pastoris, Geotrichum Candidum, Candida ... • Algal genomes: Ostreococcus spp, Micromonas, Bathycoccus, Phaeodactylum (and other diatoms), E.hux, Ectocarpus, Amoebophrya … • Animal genomes: Tetranychus urticae, Brevipalpus spp (mites), ... ProCoGen Dissemination Workshop, Riga, 5 nov 2013 Why genome annotation? • Raw sequence data is not useful for most biologists • To be meaningful to them it has to be converted into biological significant knowledge -
Gene Structure Prediction
Gene finding Lorenzo Cerutti Swiss Institute of Bioinformatics EMBNet course, September 2002 Gene finding EMBNet 2002 Introduction Gene finding is about detecting coding regions and infer gene structure Gene finding is difficult DNA sequence signals have low information content (degenerated and highly unspe- • cific) It is difficult to discriminate real signals • Sequencing errors • Prokaryotes High gene density and simple gene structure • Short genes have little information • Overlapping genes • Eukaryotes Low gene density and complex gene structure • Alternative splicing • Pseudo-genes • 1 Gene finding EMBNet 2002 Gene finding strategies Homology method Gene structure can be deduced by homology • Requires a not too distant homologous sequence • Ab initio method Requires two types of information • . compositional information . signal information 2 Gene finding EMBNet 2002 Gene finding: Homology method 3 Gene finding EMBNet 2002 Homology method Principles of the homology method. Coding regions evolve slower than non-coding regions, i.e. local sequence similarity • can be used as a gene finder. Homologous sequences reflect a common evolutionary origin and possibly a common • gene structure, i.e. gene structure can be solved by homology (mRNAs, ESTs, proteins, domains). Standard homology search methods can be used (BLAST, Smith-Waterman, ...). • Include ”gene syntax” information (start/stop codons, ...). • Homology methods are also useful to confirm predictions inferred by other methods 4 Gene finding EMBNet 2002 Homology method: a simple view Gene of unknown structure Homology with a gene of known structure Exon 1 Exon 2 Exon 3 Find DNA signals ATG GT {TAA,TGA,TAG} AG 5 Gene finding EMBNet 2002 Procrustes Procrustes is a software to predict gene structure from homology found in pro- teins (Gelfand et al., 1996) Principle of the algorithm • . -
From the Human Genome Project to Genomic Medicine a Journey to Advance Human Health
From the Human Genome Project to Genomic Medicine A Journey to Advance Human Health Eric Green, M.D., Ph.D. Director, NHGRI The Origin of “Genomics”: 1987 Genomics (1987) “For the newly developing discipline of [genome] mapping/sequencing (including the analysis of the information), we have adopted the term GENOMICS… ‘The Genome Institute’ Office for Human Genome Research 1988-1989 National Center for Human Genome Research 1989-1997 National Human Genome Research Institute 1997-present NHGRI: Circa 1990-2003 Human Genome Project NHGRI Today: Characteristic Features . Relatively young (~28 years) . Relatively small (~1.7% of NIH) . Unusual historical origins (think ‘Human Genome Project’) . Emphasis on ‘Team Science’ (think managed ‘consortia’) . Rapidly disseminating footprint (think ‘genomics’) . Novel societal/bioethics research component (think ‘ELSI’) . Over-achievers for trans-NIH initiatives (think ‘Common Fund’) . Vibrant (and large) Intramural Research Program A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project Genomic Medicine An emerging medical discipline that involves using genomic information about an individual as part of their clinical care (e.g., for diagnostic or therapeutic decision- making) and the other implications of that clinical use The Path to Genomic Medicine ? Human Realization of Genome Genomic Project Medicine Nature Nature Base Pairs to Bedside 2003 Heli201x to 1Health A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project -
The ELIXIR Core Data Resources: Fundamental Infrastructure for The
Supplementary Data: The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences The “Supporting Material” referred to within this Supplementary Data can be found in the Supporting.Material.CDR.infrastructure file, DOI: 10.5281/zenodo.2625247 (https://zenodo.org/record/2625247). Figure 1. Scale of the Core Data Resources Table S1. Data from which Figure 1 is derived: Year 2013 2014 2015 2016 2017 Data entries 765881651 997794559 1726529931 1853429002 2715599247 Monthly user/IP addresses 1700660 2109586 2413724 2502617 2867265 FTEs 270 292.65 295.65 289.7 311.2 Figure 1 includes data from the following Core Data Resources: ArrayExpress, BRENDA, CATH, ChEBI, ChEMBL, EGA, ENA, Ensembl, Ensembl Genomes, EuropePMC, HPA, IntAct /MINT , InterPro, PDBe, PRIDE, SILVA, STRING, UniProt ● Note that Ensembl’s compute infrastructure physically relocated in 2016, so “Users/IP address” data are not available for that year. In this case, the 2015 numbers were rolled forward to 2016. ● Note that STRING makes only minor releases in 2014 and 2016, in that the interactions are re-computed, but the number of “Data entries” remains unchanged. The major releases that change the number of “Data entries” happened in 2013 and 2015. So, for “Data entries” , the number for 2013 was rolled forward to 2014, and the number for 2015 was rolled forward to 2016. The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences 1 Figure 2: Usage of Core Data Resources in research The following steps were taken: 1. API calls were run on open access full text articles in Europe PMC to identify articles that mention Core Data Resource by name or include specific data record accession numbers. -
Standard 2: CELL BIOLOGY – REVIEW of BASICS
Standard 2: CELL BIOLOGY – REVIEW OF BASICS CELL PART OR TYPE OF CELL WHERE FOUND WHAT DOES IT FUNCTION: MISCELLANEOUS ORGANELLE Prokaryotic cell Plant cell LOOK LIKE: Job it does in INFORMATION: things Eukaryotic cell Animal cell Describe or Draw the cell such as color, what it is Both Both made of, size, etc. plasma/cell See diagram Holds cell together Phospholipid bilayer with membrane both both Regulates what goes proteins in/out of cell Semipermeable cytoplasm both Clear thick jelly- Supports/protects both like material in cell cell organelles See diagram Control center nucleus eukaryotic both Contains DNA See diagram Where proteins are ribosome both both made See diagram Process proteins Golgi complex eukaryotic both that go to other /apparatus parts of cell Membrane-bound Digests materials lysosome eukaryotic animal sac of digestive within the cell enzymes Membrane-bound Stores water, food, One large one in plants vacuole eukaryotic both storage area waste and dissolved Many smaller ones in minerals animals endoplasmic Network of Transport materials Can be rough (with reticulum eukaryotic both membrane tubes throughout the cell ribosomes attached) or smooth (without ribosomes) See diagram Where cell respiration Called Powerhouse of cell mitochondria eukaryotic both occurs (releases Makes ATP from energy for cell to use) breaking down glucose See diagram Where photosynthesis Contains chlorophyll chloroplast eukaryotic plant takes place Converts light energy into chemical energy in glucose Some pro- and plant (also fungi Rigid structure -
PLK-1 Promotes the Merger of the Parental Genome Into A
RESEARCH ARTICLE PLK-1 promotes the merger of the parental genome into a single nucleus by triggering lamina disassembly Griselda Velez-Aguilera1, Sylvia Nkombo Nkoula1, Batool Ossareh-Nazari1, Jana Link2, Dimitra Paouneskou2, Lucie Van Hove1, Nicolas Joly1, Nicolas Tavernier1, Jean-Marc Verbavatz3, Verena Jantsch2, Lionel Pintard1* 1Programme Equipe Labe´llise´e Ligue Contre le Cancer - Team Cell Cycle & Development - Universite´ de Paris, CNRS, Institut Jacques Monod, Paris, France; 2Department of Chromosome Biology, Max Perutz Laboratories, University of Vienna, Vienna Biocenter, Vienna, Austria; 3Universite´ de Paris, CNRS, Institut Jacques Monod, Paris, France Abstract Life of sexually reproducing organisms starts with the fusion of the haploid egg and sperm gametes to form the genome of a new diploid organism. Using the newly fertilized Caenorhabditis elegans zygote, we show that the mitotic Polo-like kinase PLK-1 phosphorylates the lamin LMN-1 to promote timely lamina disassembly and subsequent merging of the parental genomes into a single nucleus after mitosis. Expression of non-phosphorylatable versions of LMN- 1, which affect lamina depolymerization during mitosis, is sufficient to prevent the mixing of the parental chromosomes into a single nucleus in daughter cells. Finally, we recapitulate lamina depolymerization by PLK-1 in vitro demonstrating that LMN-1 is a direct PLK-1 target. Our findings indicate that the timely removal of lamin is essential for the merging of parental chromosomes at the beginning of life in C. elegans and possibly also in humans, where a defect in this process might be fatal for embryo development. *For correspondence: [email protected] Introduction Competing interests: The After fertilization, the haploid gametes of the egg and sperm have to come together to form the authors declare that no genome of a new diploid organism.