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BIOINFORMATICS Doi:10.1093/Bioinformatics/Bti144
Vol. 00 no. 0 2004, pages 1–11 BIOINFORMATICS doi:10.1093/bioinformatics/bti144 Solving and analyzing side-chain positioning problems using linear and integer programming Carleton L. Kingsford, Bernard Chazelle and Mona Singh∗ Department of Computer Science, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 35, Olden Street, Princeton, NJ 08544, USA Received on August 1, 2004; revised on October 10, 2004; accepted on November 8, 2004 Advance Access publication … ABSTRACT set of possible rotamer choices (Ponder and Richards, 1987; Motivation: Side-chain positioning is a central component of Dunbrack and Karplus, 1993) for each Cα position on the homology modeling and protein design. In a common for- backbone. The goal is to choose a rotamer for each position mulation of the problem, the backbone is fixed, side-chain so that the total energy of the molecule is minimized. This conformations come from a rotamer library, and a pairwise formulation of SCP has been the basis of some of the more energy function is optimized. It is NP-complete to find even a successful methods for homology modeling (e.g. Petrey et al., reasonable approximate solution to this problem. We seek to 2003; Xiang and Honig, 2001; Jones and Kleywegt, 1999; put this hardness result into practical context. Bower et al., 1997) and protein design (e.g. Dahiyat and Mayo, Results: We present an integer linear programming (ILP) 1997; Malakauskas and Mayo, 1998; Looger et al., 2003). In formulation of side-chain positioning that allows us to tackle homology modeling, the goal is to predict the structure for a large problem sizes. -
Distinctive Regulatory Architectures of Germline-Active and Somatic Genes in C
Downloaded from genome.cshlp.org on October 7, 2021 - Published by Cold Spring Harbor Laboratory Press Research Distinctive regulatory architectures of germline-active and somatic genes in C. elegans Jacques Serizay, Yan Dong, Jürgen Jänes, Michael Chesney, Chiara Cerrato, and Julie Ahringer The Gurdon Institute and Department of Genetics, University of Cambridge, CB2 1QN Cambridge, United Kingdom RNA profiling has provided increasingly detailed knowledge of gene expression patterns, yet the different regulatory ar- chitectures that drive them are not well understood. To address this, we profiled and compared transcriptional and regu- latory element activities across five tissues of Caenorhabditis elegans, covering ∼90% of cells. We find that the majority of promoters and enhancers have tissue-specific accessibility, and we discover regulatory grammars associated with ubiquitous, germline, and somatic tissue–specific gene expression patterns. In addition, we find that germline-active and soma-specific promoters have distinct features. Germline-active promoters have well-positioned +1 and −1 nucleosomes associated with a periodic 10-bp WW signal (W = A/T). Somatic tissue–specific promoters lack positioned nucleosomes and this signal, have wide nucleosome-depleted regions, and are more enriched for core promoter elements, which largely differ between tissues. We observe the 10-bp periodic WW signal at ubiquitous promoters in other animals, suggesting it is an ancient conserved signal. Our results show fundamental differences in regulatory architectures of germline and somatic tissue–specific genes, uncover regulatory rules for generating diverse gene expression patterns, and provide a tissue-specific resource for future studies. [Supplemental material is available for this article.] Cell type–specific transcription regulation underlies production tissues are achieved and whether expression is governed by dis- of the myriad of different cells generated during development. -
Gurdon Institute 20122011 PROSPECTUS / ANNUAL REPORT 20112010
The Wellcome Trust/Cancer Research UK Gurdon Institute 20122011 PROSPECTUS / ANNUAL REPORT 20112010 Gurdon I N S T I T U T E PROSPECTUS 2012 ANNUAL REPORT 2011 http://www.gurdon.cam.ac.uk CONTENTS THE INSTITUTE IN 2011 INTRODUCTION........................................................................................................................................3 HISTORICAL BACKGROUND..........................................................................................................4 CENTRAL SUPPORT SERVICES....................................................................................................5 FUNDING.........................................................................................................................................................5 RETREAT............................................................................................................................................................5 RESEARCH GROUPS.........................................................................................................6 MEMBERS OF THE INSTITUTE................................................................................44 CATEGORIES OF APPOINTMENT..............................................................................44 POSTGRADUATE OPPORTUNITIES..........................................................................44 SENIOR GROUP LEADERS.............................................................................................44 GROUP LEADERS.......................................................................................................................48 -
Transcriptomic Description of an Endogenous Female State in C
bioRxiv preprint first posted online Oct. 27, 2016; doi: http://dx.doi.org/10.1101/083113. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license. Transcriptomic Description of an Endogenous Female State in C. elegans David Angeles-Albores1,y Daniel H.W. Leighton2,y Tiffany Tsou1 Tiffany H. Khaw1 Igor Antoshechkin3 Paul W. Sternberg1,* October 29, 2016 y These authors contributed equally to this work 1 Department of Biology and Biological Engineering, and Howard Hughes Medical Institute, Caltech, Pasadena, CA, 91125, USA 2 Department of Human Genetics, Department of Biological Chemistry, and Howard Hughes Medical Insti- tute, University of California, Los Angeles, Los Angeles, CA 90095, USA 3 Department of Biology and Biological Engineering, Caltech, Pasadena, CA, 91125, USA * Corresponding author. Contact:[email protected] Abstract Understanding genome and gene function in a whole organism requires us to fully compre- hend the life cycle and the physiology of the organism in question. Although C. elegans is traditionally though of as a hermaphrodite, XX animals exhaust their sperm and become (en- dogenous) females after 3 days of egg-laying. The molecular physiology of this state has not been studied as intensely as other parts of the life cycle, in spite of documented changes in behavior and metabolism that occur at this stage. To study the female state of C. elegans, we designed an experiment to measure the transcriptomes of 1st day adult females; endoge- nous, 6th day adult females; and at the same time points, mutant feminized worms. -
BIOGRAPHICAL SKETCH NAME: Berger
BIOGRAPHICAL SKETCH NAME: Berger, Bonnie eRA COMMONS USER NAME (credential, e.g., agency login): BABERGER POSITION TITLE: Simons Professor of Mathematics and Professor of Electrical Engineering and Computer Science EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.) EDUCATION/TRAINING DEGREE Completion (if Date FIELD OF STUDY INSTITUTION AND LOCATION applicable) MM/YYYY Brandeis University, Waltham, MA AB 06/1983 Computer Science Massachusetts Institute of Technology SM 01/1986 Computer Science Massachusetts Institute of Technology Ph.D. 06/1990 Computer Science Massachusetts Institute of Technology Postdoc 06/1992 Applied Mathematics A. Personal Statement Advances in modern biology revolve around automated data collection and sharing of the large resulting datasets. I am considered a pioneer in the area of bringing computer algorithms to the study of biological data, and a founder in this community that I have witnessed grow so profoundly over the last 26 years. I have made major contributions to many areas of computational biology and biomedicine, largely, though not exclusively through algorithmic innovations, as demonstrated by nearly twenty thousand citations to my scientific papers and widely-used software. In recognition of my success, I have just been elected to the National Academy of Sciences and in 2019 received the ISCB Senior Scientist Award, the pinnacle award in computational biology. My research group works on diverse challenges, including Computational Genomics, High-throughput Technology Analysis and Design, Biological Networks, Structural Bioinformatics, Population Genetics and Biomedical Privacy. I spearheaded research on analyzing large and complex biological data sets through topological and machine learning approaches; e.g. -
Fall 2016 Is Available in the Laboratory of Dr
RNA Society Newsletter Aug 2016 From the Desk of the President, Sarah Woodson Greetings to all! I always enjoy attending the annual meetings of the RNA Society, but this year’s meeting in Kyoto was a standout in my opinion. This marked the second time that the RNA meeting has been held in Kyoto as a joint meeting with the RNA Society of Japan. (The first time was in 2011). Particular thanks go to the local organizers Mikiko Siomi and Tom Suzuki who took care of many logistical details, and to all of the organizers, Mikiko, Tom, Utz Fischer, Wendy Gilbert, David Lilley and Erik Sontheimer, for putting together a truly exciting and stimulating scientific program. Of course, the real excitement in the annual RNA meetings comes from all of you who give the talks and present the posters. I always enjoy meeting old friends and colleagues, but the many new participants in this year’s meeting particularly encouraged me. (Continued on p2) In this issue : Desk of the President, Sarah Woodson 1 Highlights of RNA 2016 : Kyoto Japan 4 Annual Society Award Winners 4 Jr Scientist activities 9 Mentor Mentee Lunch 10 New initiatives 12 Desk of our CEO, James McSwiggen 15 New Volunteer Opportunities 16 Chair, Meetings Committee, Benoit Chabot 17 Desk of the Membership Chair, Kristian Baker 18 Thank you Volunteers! 20 Meeting Reports: RNA Sponsored Meetings 22 Upcoming Meetings of Interest 27 Employment 31 1 Although the graceful city of Kyoto and its cultural months. First, in May 2016, the RNA journal treasures beckoned from just beyond the convention instituted a uniform price for manuscript publication hall, the meeting itself held more than enough (see p 12) that simplifies the calculation of author excitement to keep ones attention! Both the quality fees and facilitates the use of color figures to and the “polish” of the scientific presentations were convey scientific information. -
Real-Time Egg Laying Dynamics in Caenorhabditis Elegans
UNIVERSITY OF CALIFORNIA, IRVINE Real-time egg laying dynamics in Caenorhabditis elegans DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biomedical Engineering by Philip Vijay Thomas Dissertation Committee: Professor Elliot Hui, Chair Professor Olivier Cinquin Professor Abraham Lee 2015 c 2015 Philip Vijay Thomas TABLE OF CONTENTS Page LIST OF FIGURES iv ACKNOWLEDGMENTS v CURRICULUM VITAE vi ABSTRACT OF THE DISSERTATION viii 1 Introduction and motivation 1 1.1 The impact of C. elegans in aging and lifespan studies along with current limitations . 1 1.2 Starvation and its effect on worms . 4 1.3 Microfabricated systems for C. elegans biology . 5 2 Real-time C. elegans embryo cytometry to study reproductive aging 7 2.1 High capacity low-weight passive bubble trap . 8 2.2 Microfluidic device layout . 10 2.3 Tuning habitat exit sizes to flush out embryos while retaining worms . 11 2.4 Equal flow resistance to make identical habitats . 12 2.5 Video enumeration of eggs . 13 2.6 Switching between discrete and continuously varying media concentrations . 15 3 Optimizing worm health in C. elegans microfluidics 17 3.1 E. coli densities of 1010 cells/mL maintain egg-laying in liquid worm culture 18 3.2 E. coli biofilms in devices . 19 3.3 Amino acid addition to S-media, γ irradiation of bacteria, and elevated syringe temperatures are ineffective in reducing biofilms in devices . 20 3.4 Use of a curli major subunit deletion strain significantly reduces biofilm in S-media . 23 4 Conclusions and future directions 26 Bibliography 30 ii A Appendix Title 41 A.1 Methods . -
COMPASS Mediates Transgenerational Epigenetic Inheritance in Caenorhabditis Elegans
COMPASS Mediates Transgenerational Epigenetic Inheritance in Caenorhabditis elegans By: Rosamund Clifford A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy The University of Leeds Faculty of Biological Sciences School of Biology Submission Date February 2021 Acknowledgements There are a great many people who have contributed to the development of this thesis, who I would like to thank here. Professor Ian Hope, who took on the role of my primary supervisor midway through my PhD and guided me through to the end with constant support and advice during the bulk of the experiments and entire writing process. My first PhD supervisor, Dr Ron Chen, whose ideas and support in the first two years gave me a solid foundation on which to build this thesis. Professor Mark Dickman and the Dickman group at the University of Sheffield, in particular Dr Eleanor Hanson, Dr Joby Cole and Dr Caroline Evans, for their technical expertise in LC-MS/MS and support with performing the experiments described here. Professor Julie Ahringer and the Ahringer group at the University of Cambridge, for their support with the immunofluorescence microscopy experiments, which I learned to do under the supervision of Yan Dong on a visit to the Ahringer lab. Thanks also to the imaging team at the Gurdon Institute, particularly Dr Nicola Lawrence, for training me to use a confocal microscope, and Dr Richard Butler, for writing the code that enabled analysis of the images. At the University of Leeds, my thanks go to Dr Ruth Hughes at the Bio-imaging facility for her advice on image analysis, and Dr Brittany Graham for helping me settle into the Hope lab. -
ABSTRACT HISTORICAL GRAPH DATA MANAGEMENT Udayan
ABSTRACT Title of dissertation: HISTORICAL GRAPH DATA MANAGEMENT Udayan Khurana, Doctor of Philosophy, 2015 Dissertation directed by: Professor Amol Deshpande Department of Computer Science Over the last decade, we have witnessed an increasing interest in temporal analysis of information networks such as social networks or citation networks. Finding temporal interaction patterns, visualizing the evolution of graph properties, or even simply com- paring them across time, has proven to add significant value in reasoning over networks. However, because of the lack of underlying data management support, much of the work on large-scale graph analytics to date has largely focused on the study of static properties of graph snapshots. Unfortunately, a static view of interactions between entities is often an oversimplification of several complex phenomena like the spread of epidemics, informa- tion diffusion, formation of online communities, and so on. In the absence of appropriate support, an analyst today has to manually navigate the added temporal complexity of large evolving graphs, making the process cumbersome and ineffective. In this dissertation, I address the key challenges in storing, retrieving, and analyzing large historical graphs. In the first part, I present DeltaGraph, a novel, extensible, highly tunable, and distributed hierarchical index structure that enables compact recording of the historical information, and that supports efficient retrieval of historical graph snapshots. I present analytical models for estimating required storage space and snapshot retrieval times which aid in choosing the right parameters for a specific scenario. I also present optimizations such as partial materialization and columnar storage to speed up snapshot retrieval. In the second part, I present Temporal Graph Index that builds upon DeltaGraph to support version-centric retrieval such as a node’s 1-hop neighborhood history, along with snapshot reconstruction. -
A Team of Heterochromatin Factors Collaborates with Small RNA
RESEARCH ARTICLE A team of heterochromatin factors collaborates with small RNA pathways to combat repetitive elements and germline stress Alicia N McMurchy†, Przemyslaw Stempor†, Tessa Gaarenstroom†, Brian Wysolmerski, Yan Dong, Darya Aussianikava, Alex Appert, Ni Huang, Paulina Kolasinska-Zwierz, Alexandra Sapetschnig, Eric A Miska, Julie Ahringer* The Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge, United Kingdom Abstract Repetitive sequences derived from transposons make up a large fraction of eukaryotic genomes and must be silenced to protect genome integrity. Repetitive elements are often found in heterochromatin; however, the roles and interactions of heterochromatin proteins in repeat regulation are poorly understood. Here we show that a diverse set of C. elegans heterochromatin proteins act together with the piRNA and nuclear RNAi pathways to silence repetitive elements and prevent genotoxic stress in the germ line. Mutants in genes encoding HPL-2/HP1, LIN-13, LIN- 61, LET-418/Mi-2, and H3K9me2 histone methyltransferase MET-2/SETDB1 also show functionally redundant sterility, increased germline apoptosis, DNA repair defects, and interactions with small RNA pathways. Remarkably, fertility of heterochromatin mutants could be partially restored by inhibiting cep-1/p53, endogenous meiotic double strand breaks, or the expression of MIRAGE1 DNA transposons. Functional redundancy among factors and pathways underlies the importance of safeguarding the genome through multiple means. DOI: 10.7554/eLife.21666.001 *For correspondence: ja219@ cam.ac.uk †These authors contributed equally to this work Competing interest: See Introduction page 25 Heterochromatin, the more tightly packed form of chromatin, plays important roles in maintaining the structural and functional integrity of the genome (Wang et al., 2016). -
An R/Bioconductor Package to Investigate K-Mer Periodicity in DNA [Version 1; Peer Review: 1 Approved, 3 Approved with Reservations]
F1000Research 2021, 10:141 Last updated: 03 SEP 2021 SOFTWARE TOOL ARTICLE periodicDNA: an R/Bioconductor package to investigate k-mer periodicity in DNA [version 1; peer review: 1 approved, 3 approved with reservations] Jacques Serizay , Julie Ahringer The Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge, CB2 1QN, UK v1 First published: 24 Feb 2021, 10:141 Open Peer Review https://doi.org/10.12688/f1000research.51143.1 Latest published: 24 Feb 2021, 10:141 https://doi.org/10.12688/f1000research.51143.1 Reviewer Status Invited Reviewers Abstract Periodic occurrences of oligonucleotide sequences can impact the 1 2 3 4 physical properties of DNA. For example, DNA bendability is modulated by 10-bp periodic occurrences of WW (W = A/T) version 1 dinucleotides. We present periodicDNA, an R package to identify k- 24 Feb 2021 report report report report mer periodicity and generate continuous tracks of k-mer periodicity over genomic loci of interest, such as regulatory elements. 1. Ilya Ioshikhes, University of Ottawa, Ottawa, periodicDNA will facilitate investigation and improve understanding of how periodic DNA sequence features impact function. Canada Keywords 2. Sabarinathan Radhakrishnan , National DNA periodicity, gene regulation, promoter Centre for Biological Sciences, Bangalore, India 3. Eugene Korotkov, Russian Academy of This article is included in the Bioconductor Sciences, Moscow, Russian Federation gateway. 4. Boris Lenhard , Imperial College London, London, UK This article is included in the RPackage -
Comparative Genomics of the Major Parasitic Worms
Comparative genomics of the major parasitic worms International Helminth Genomes Consortium Supplementary Information Introduction ............................................................................................................................... 4 Contributions from Consortium members ..................................................................................... 5 Methods .................................................................................................................................... 6 1 Sample collection and preparation ................................................................................................................. 6 2.1 Data production, Wellcome Trust Sanger Institute (WTSI) ........................................................................ 12 DNA template preparation and sequencing................................................................................................. 12 Genome assembly ........................................................................................................................................ 13 Assembly QC ................................................................................................................................................. 14 Gene prediction ............................................................................................................................................ 15 Contamination screening ............................................................................................................................