• The mitochondrial network is perturbed in sar1D32G cells.
    Image from Ackema et al., PMID: 27101143
  • Varying metabolic activity within a yeast colony
    Image courtesy of Dr. Kate Campbell, Ralser Lab, University of Cambridge
  • Localization of Erg1-GFP to lipid droplets in stationary phase cells
    Image courtesy of Sébastien Léon, Institut Jacques Monod/ CNRS - Paris, France.
  • Rap1-GFP and Calcofluor White staining of stationary phase cells.
    Image courtesy of M. Guidi, M. Ruault and A. Taddei, Institut Curie (Paris).
  • Pma1-mCherry and Vma1-GFP localization in mitotic cells.
    Image courtesy of M. Eastwood, Fred Hutch and M. Meneghini, University of Toronto.
  • CCCP-induced decrease of mitochondrial membrane potential (below) or control treatment (above) as measured by MitoLoc.
    Image courtesy of Dr. Jakob Vowinckel, Ralser Lab, University of Cambridge.
  • Large sized lipid droplets in aged wild-type BY4741 cells
    Large sized lipid droplets in aged wild-type BY4741 cells
    Image courtesy of D.K. Vijayan, R. Rajasekharan and M. Srinivasan, CSIR-CFTRI, India
  • Redistribution of Msn5 pools from the nucleus to the cytoplasm upon glucose deprivation.
    Image courtesy of H. Huang and A. Hopper, Ohio State University.
  • slideshow24-new
    Floccule of yeast rho0 cells expressing PTS1-GFP as a peroxisomal marker, stained with calcofluor white.
    Image courtesy of Dr. Jakob Vowinckel, University of Cambridge
  • S. cerevisiae membrane proteins visualized by RFP and GFP.
    Image courtesy of Masur. Wikimedia Commons.
  • Peroxisome (red) and mitochondrial (green) fission defects in vps1 fis1 double deletion strain transformed with FIS1.
    Image courtesy of S. Lefevre, S. Kumar and I. van der Klei, University of Groningen.
  • Yeast cells expressing TRK1/GFP.
    Image courtesy of V. Zayats and J. Ludwig, Center of Nanobiology and Structural Biology, AV CR.
  • The distribution of mtDNA (green) within the mitochondrial network (red).
    Image courtesy of Christof Osman and Peter Walter, University of California, San Francisco
  • The distribution of ER exit sites (ERES, green) within the ER (red).
    Image courtesy of A. Nakano and K. Kurokawa, RIKEN.
  • Cell, actin and nuclear morphology of yeast cells treated with DMSO (left) and poacic acid (right).
    Images courtesy of Hiroki Okada and Yoshikazu Ohya, University of Tokyo.
  • Colombo S and Martegani E
    Localization of active Ras in a wild type strain
    Image courtesy of S. Colombo and E. Martegani, University Milano Bicocca
  • Sectored Colonies
    Sectored colonies showing loss of silencing at the HML locus
    Image courtesy of Anne Dodson, UC Berkeley
  • Pma1p imaged using the RITE tagging system in mother (green) and daughter cells (red)
    Pma1p imaged using the RITE tagging system in mother (green) and daughter cells (red)
    Image courtesy of Dan Gottschling Ph.D., Fred Hutchinson Cancer Research Center
  • San1 strain visualized with FUN and calcofluor white
    San1 strain visualized with FUN and calcofluor white
    Image courtesy of the Bruschi lab, ICGEB, Trieste, Italy
  • Single MDN1 mRNAs detected by FISH
    Single MDN1 mRNAs detected by FISH
    Image courtesy of the Zenklusen Lab, Université de Montréal
  • Localization of Ace2-GFP to daughter cell nuclei
    Localization of Ace2-GFP to daughter cell nuclei
    Image courtesy of Eric Weiss, Ph.D. Northwestern University

About SGD

The Saccharomyces Genome Database (SGD) provides comprehensive integrated biological information for the budding yeast Saccharomyces cerevisiae along with search and analysis tools to explore these data, enabling the discovery of functional relationships between sequence and gene products in fungi and higher organisms.

Upcoming Meetings

View all meetings

New & Noteworthy

  • Look Before You Leap...Into DNA Repair

    06/09/2016

    Sometimes in an emergency, it can be useful to take a pause before trying to fix a problem. If the ambulance is on the way you may not want to start removing someone’s appendix right then and there. Yes you may save them, but the ambulance and EMTs will do less damage to the patient once they get there. The same sort of logic applies to cells too. For example, a double stranded break is a... Read...
  • New High-throughput GO Annotations Added to SGD

    06/06/2016

    We’ve added 1,400 high-throughput (HTP) cellular component GO annotations from a new paper published by Maya Schuldiner’s lab. In this paper, Yofe et al., 2016 devised and implemented a methodology, called SWAT (short for SWAp-Tag), creating a parental library containing 1,800 strains, all known or predicted to localize to the yeast endomembrane system. Once created, this novel acceptor library serves as a template that can be ’swapped’ into other libraries, thus facilitating the rapid interconversion... Read...
  • Sometimes You Need Half a Trillion

    06/01/2016

    In the Foundation series by Isaac Asimov, Hari Seldon invented a field of study called psychohistory which was able to “make general predictions” about human history. It only worked because the population of the Galactic Empire was in the quadrillions. You need huge numbers to get useful predictions. Sometimes real life biologists need lots of individuals to see what they are looking for too. In the case of a recent paper in PNAS by Lee and... Read...
  • Next SGD Webinar: June 1, 2016

    05/26/2016

    If you’re not already using JBrowse to view all your favorite S. cerevisiae genes…you should be! SGD's JBrowse is a quick and easy way to browse through the information-rich yeast genome. Using JBrowse, you can visualize spatial relationships between genes, locate SGD annotations throughout the yeast genome, and align chromosomal features to hundreds of experimental data sets. Our upcoming webinar on June 1st will provide a short 15-minute tutorial on the basics of JBrowse. We will... Read...

Previous articles >>>