Literature DB >> 29761456

PomBase: The Scientific Resource for Fission Yeast.

Antonia Lock1, Kim Rutherford2, Midori A Harris2, Valerie Wood3.   

Abstract

The fission yeast Schizosaccharomyces pombe has become well established as a model species for studying conserved cell-level biological processes, especially the mechanics and regulation of cell division. PomBase integrates the S. pombe genome sequence with traditional genetic, molecular, and cell biological experimental data as well as the growing body of large datasets generated by emerging high-throughput methods. This chapter provides insight into the curation philosophy and data organization at PomBase, and provides a guide to using PomBase for infrequent visitors and anyone considering exploring S. pombe in their research.

Entities:  

Keywords:  Annotation extensions; Biological database; Fission yeast; GO slim; Gene ontology; Model organism; Schizosaccharomyces pombe

Mesh:

Year:  2018        PMID: 29761456      PMCID: PMC6440643          DOI: 10.1007/978-1-4939-7737-6_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


Introduction

PomBase (http://www.pombase.org/), funded by the Wellcome Trust, is the model organism database (MOD) for the fission yeast Schizosaccharomyces pombe. Its primary goals are: To support the exploratory and hypothesis-driven research needs of those using the model eukaryote fission yeast as an experimental system. To provide an integrated model of a eukaryotic cell. To promote and support the use of fission yeast as a model eukaryotic system, with particular relevance to human biology. To provide a community hub, and support for in-depth community led curation. To accomplish these goals, PomBase integrates the S. pombe genome sequence and features with genome-wide datasets and detailed, comprehensive gene-oriented manual curation of published literature, and provides tools to interrogate these data [1, 2]. As an experimental organism, fission yeast is inexpensive to grow, proliferates rapidly and is amenable to genetic manipulation. Researchers typically study isogenic strains of S. pombe derived from a single isolate known as 968 h90. This facilitates the comparison of results across different laboratories. Aside from the PomBase database, several organism specific resources are available to fission yeast researchers, including the genome-wide deletion mutant collection [3, 4] and the Orfeome localization collection [5]. The sequence of the reference strain 972 h–(a naturally occurring 968 h90 derivative) was published in 2002 [6]. Fission yeast has a compact genome, 14 Mb in size, that consists of three chromosomes of 3.5–5.6 Mb plus a 19 kb mitochondrial genome. 5071 protein-coding genes, of which more than two thirds are conserved in human, are annotated in the reference genome, along with rRNAs, tRNAs, snRNAs, snoRNAs, and other noncoding RNAs. The fission yeast community comprises ~2000 researchers working primarily or exclusively with S. pombe or other Schizosaccharomyces species. In addition, fission yeast is used extensively as a complementary organism by those studying conserved cellular mechanisms in vertebrate systems, including the cell cycle, cytokinesis, chromosome segregation, epigenetic mechanisms, DNA metabolism, and drug responses [7-10]. PomBase thus serves a large (~15,000 unique users per month) and varied user base with diverse experience and requirements.

Data Curation in PomBase

The most precise and reliable molecular data in PomBase are generated by manual curation of the fission yeast literature. Automated methods, such as annotation transfer based on sequence orthology, and high-throughput datasets supplement the body of manually curated data. To enable the fission yeast community to contribute directly to PomBase, we have developed Canto [11], an intuitive web-based literature curation tool. Canto allows both professional curators and community researchers to use state-of-the-art annotation techniques to build complex connections among genes, ontology terms, and supporting metadata. Notably, the use of ontology terms and “annotation extensions” described below underlies the generation of comprehensive curated networks representing biological processes. By combining the topic-specific expertise of biological experts with PomBase curators’ familiarity with ontologies and annotation practices, Canto usage yields literature curation of a particularly high standard of accuracy and specificity [12]. To date (August 2017) approximately 10,000 annotations have been submitted by community curators for over 500 publications.

PomBase Gene Page Organization

Like other model organism databases, PomBase organizes data into pages summarizing genes, publications, ontology terms, and others, of which the most intensively used are gene pages. Each gene page gathers all data relevant to the gene into one place, with a menu that shows available data types at a glance and facilitates navigation within the page (Fig. 1). Gene pages can be accessed directly by typing a gene name in the search field at the top right corner of each PomBase page, and selecting it from the drop-down list (e.g., clp1, cdc2, cdc25, mde4).
Fig. 1

The quick-links menu. The menu displayed on the left-hand side of gene pages provides an overview of the different data types available for specific genes, and enables rapid navigation between the different sections of the gene page

Curated data types include ontology-based annotations for gene function (Gene Ontology; GO), phenotypes, and modifications, genetic and physical interactions, qualitative and quantitative gene expression data, protein features, complementation, orthologs and taxonomic conservation. Gene pages also provide gene and protein sequences, and links to gene-specific entries in external databases, and a collection of literature relevant to each gene. We discuss several of these in depth below.

Gene Ontology Data

The Gene Ontology (GO) section of the gene pages shows a table of annotations using each of the main branches of GO: molecular function, biological process, and cellular component [13, 14]. By default, the tables display a nonredundant summary of annotated terms and extensions. Figure 2A shows a selection of molecular function and biological process annotations for the protein phosphatase clp1. An expanded view shows all annotations as well as supporting metadata such as references, evidence, term IDs, and qualifiers. Ontology terms, genes, and references in the annotation views link to additional PomBase pages. The biological process section also lists any GO slim terms (see below) applicable to the gene.
Fig. 2

GO annotations and extensions. (A) Summary view of selected annotations on the clp1 gene page. The orange boxes highlight annotations representing Clp1’s roles: Clp1 dephosphorylates the Nsk1 protein to positively regulate spindle attachment to the kinetochore. During anaphase, it dephosphorylates Mde4 to positively regulate spindle elongation. Clp1 also directly targets itself during telophase to promote mitotic exit. Processes linked to molecular functions are also shown in the biological process section. Biological process annotations that map to the PomBase GO slim are shown at the top of the biological process section Fig. 2 (continued) (purple box). (B) Relations used in GO annotation extensions, showing how each links one gene to other genes or additional ontology terms, with examples for each GO branch

The clp1 GO molecular function annotation shown in Fig. 2A also illustrates the usage of GO annotation extensions. PomBase was a pioneer in the implementation of annotation extensions [15], which allow curation of effector–target relationships (such as protein kinase substrates) or spatiotemporal information (such as where and when a function is executed). Extensions on the clp1 “serine/threonine phosphatase activity” molecular function annotation indicate that Clp1 dephosphorylates different substrates to contribute to different regulatory processes (e.g., Clp1 dephosphorylates Mde4 to positively regulate spindle elongation during anaphase). Figure 2B shows a summary of the relationships used at PomBase to curate annotation extensions, and then, as described below, to build networks using the resulting connections among gene products.

Phenotype Data

Phenotypes are curated by PomBase using the Fission Yeast Phenotype Ontology (FYPO), an ontology of over 6000 precomposed phenotype terms [16]. Fission yeast researchers typically study isogenic strains, making it possible to define “normal” and “abnormal” phenotypes in mutants compared to the behavior of the “wild type” reference strain. PomBase curates single mutant allele and multiallele genotypes, which are displayed in separate gene page sections. The phenotype view is further split into population and cell level phenotypes and users can toggle between a summary view (Fig. 3A) and a detailed view (Fig. 3B). Gene deletion viability is indicated at the top of the single mutant phenotype section. The displayed phenotypes can be filtered by broad phenotypic categories (viability, cell cycle, morphology, etc.), improving the usability of the very long phenotype lists now present for many genes (green box, Fig. 3A).
Fig. 3

The PomBase phenotype display. (A) Summary view (B) Detailed view of a subset of phenotypes associated with alleles of cdc2. In the summary view, redundant annotations (including annotation to the same phenotype term, but with different extensions or metadata) and metadata are hidden. The detailed view shows all annotations, plus the cited references, evidence, extensions indicating penetrance, expressivity, or affected gene products, and any curated experimental, conditions. Genotype details, including the type of mutation for each allele, expression level of the gene products, and any background genotype information, are provided in a mouse-over (shown in A, orange box). A drop-down menu enables filtering for subsets of phenotypes (shown in A, green box)

Each phenotype annotation also links to a page dedicated to the genotype, which displays details (name, description, expression level) for the alleles that make up the genotype, any background alleles, and all annotated phenotypes (Fig. 4).
Fig. 4

Genotype pages. Each genotype page displays allele and expression details and all annotations associated with the genotype. In this example, the double mutant comprising cdc25-22 (C532Y) and wee1-50, both at reduced expression levels, in the background pap1::kanr bfr1::hygr pmd1::natr caf5::kanr mfs1::natr has been associated with four different phenotype terms

Targets

The “Target of” section provides information about gene products or mutations that affect the gene of interest, derived from the reciprocal of annotations specifying targeted genes, such as the substrates of molecular functions. Target annotations indicate the connecting ontology term and the specific relationship between the two genes. For example, Clp1 dephosphorylates (Fig. 2A) and Cdc2 phosphorylates (Fig. 6) the Mde4 protein. Since Mde4 is targeted by these proteins, clp1 and cdc2 are listed in the mde4 “Target of” section (Fig. 5). Users can thus navigate entire biological pathways; downstream by a gene product’s GO molecular function substrates, and upstream by effectors in the “target of” section. Reciprocal annotations are also generated from phenotype and protein modification annotations.
Fig. 6

cdc2 function–process links and downstream signaling cascades. (A) Showing the subset of Cdc2 phosphorylation targets with function–process links. Biological processes that the enzyme–substrate interaction is part of, or happens during, are indicated using the “involved in” and “during” annotation extension relationships. (B) Targets downstream of Cdc2 can be accessed via the hyperlinked annotation extension substrates, enabling users to follow biological pathways. The capturing of targets makes it possible to reconstruct pathways for a systems level representation of gene networks

Fig. 5

The mde4 “Target of” section. Because cdc2 is annotated to a protein kinase molecular function term, with Mde4 specified as a substrate, cdc2 is listed in the “target of” section for mde4. Reciprocal annotations are also generated from phenotype and protein modification annotations. For example, a mutation in cdc2 has an effect on mde4, with phenotypic details available on the cdc2 gene page, and a “target of” annotation using the “affected by mutation in” relationship on the mde4 gene page

Taxonomic Conservation, Orthologs, and Disease Curation

To support the growing cohort of researchers using both fission yeast and other species, PomBase maintains manually curated inventories of orthologous proteins for fission yeast vs. human and fission yeast vs. budding yeast (Saccharomyces cerevisiae). Both are compiled by integrating published data and in-house analyses with the consensus from numerous orthology resources [17]. The humanfission yeast curated orthology dataset now identifies human orthologs for 69% of the fission yeast proteome. Gene pages show any manually curated orthologous genes in human and budding yeast, and the basic gene search will retrieve available S. pombe orthologs using human standard gene names or budding yeast systematic (ORF) names. Where a fission yeast gene has a human ortholog that has been implicated in a disease, the PomBase gene page notes the disease and a source publication. The taxonomic conservation section shows a broad domain kingdom or phylum level conservation for protein-coding genes. Taxon restrictions are also recorded where applicable. Other terms may also be assigned, such as whether the gene is conserved one-to-one. Classifiers are assigned manually from a small in-house controlled vocabulary (Table 1).
Table 1

Taxonomic conservation groups. Taxonomic conservation groups are assigned manually from a controlled set of terms at the kingdom/domain level. A gene may be annotated to multiple different orthologous groups. Taxon restrictions are recorded for where orthologs have not been identified outside of the noted taxa (fungi or eukaryotes). The absence of an ortholog in the S. cerevisiae reference sequence is also recorded. Copy number conservation is also documented, for example whether the gene is conserved one-to-one or whether orthologs cannot be distinguished. In some cases, faster evolving duplicates may be observed—this is where a copy of a gene appears to evolve faster than another copy of the gene

Orthologous groupsConserved in archaeaConserved in bacteriaConserved in eukaryotesConserved in fungiConserved in metazoaConserved in vertebratesSchizosaccharomyces specificSchizosaccharomyces pombe specific
Taxon restrictionsConserved in fungi onlyConserved in eukaryotes only
OthersNo apparent S.cerevisiae orthologPredominantly single copy (one-to-one)Orthologs cannot be distinguishedFaster evolving duplicate
Taxonomic conservation can be used to retrieve high quality broad taxon classification specific datasets for analyses, or to provide functional clues for unstudied proteins based on presence or absence in particular kingdom or phyla.

Building Networks

The growing body of GO annotations with annotation extensions in PomBase creates connections between gene products, and provides rich biological context to their interactions. These connections can be exploited to reconstruct biological pathways. For example, the highly conserved cyclin-dependent serine/threonine kinase Cdc2 (homolog of the mammalian CDK1) is known to directly phosphorylate over 140 different proteins. A number of these cdc2–substrate connections are linked to the biological processes that the interaction is regulating (Fig. 6A). Annotated substrates can be followed, in order to move down biological pathways (Fig. 6B). PomBase will use the connections curated between gene products (enzyme–substrate links, and high confidence physical interaction data), and the links to the biological processes they are involved in, to automatically construct networks for biological processes. This approach will ultimately create a detailed and reliable curation-based network for a eukaryotic cell.

GO Slim Summary

PomBase maintains the fission yeast GO slim, a set of broad, high level GO biological process terms providing coverage for most gene products with process annotations (http://www.pombase.org/browse-curation/fission-yeast-go-slim-terms). Like other GO slim sets (see http://geneontology.org/page/go-slim-and-subset-guide), the fission yeast GO slim supports genome-level overview of GO annotation coverage, and can be used to summarize large-scale experimental results. The PomBase GO slim terms encompass 99.5% of all genes with a biological process annotation. Uninformative (very high level grouping terms) are excluded from the PomBase GO-slim set. Table 2 shows the number of gene products annotated to each fission yeast GO slim term. Of the 5071 S. pombe proteins, 748 do not have a biological process annotation because their biological role is currently unknown in any species (i.e., neither the S. pombe protein nor any ortholog has been experimentally characterized in detail).
Table 2

Fission yeast GO slim annotations. For each term in the fission yeast GO slim, the number of annotated genes is shown. Note that a gene may be annotated to more than one slim term

GO slim termNumber of genes
Actin cytoskeleton organization  89
Apoptotic process    8
Ascospore formation  74
Autophagy  49
Carbohydrate derivative metabolic process276
Carbohydrate metabolic process138
Cell adhesion  20
Cell wall organization or biogenesis104
Cellular amino acid metabolic process190
Chromatin organization278
Cofactor metabolic process177
Conjugation with cellular fusion100
Cytoplasmic translation485
Detoxification  59
DNA recombination122
DNA repair177
DNA replication118
Establishment or maintenance of cell polarity  74
Generation of precursor metabolites and energy  81
Lipid metabolic process232
Meiotic nuclear division112
Membrane organization174
Microtubule cytoskeleton organization  75
Mitochondrial gene expression167
Mitochondrion organization146
Mitotic cytokinesis100
Mitotic sister chromatid segregation176
mRNA metabolic process271
Nitrogen cycle metabolic process  16
Nucleobase-containing small molecule metabolic process191
Nucleocytoplasmic transport108
Peroxisome organization  22
Polyphosphate metabolic process    2
Protein catabolic process212
Protein complex assembly126
Protein folding  84
Protein glycosylation  68
Protein maturation  60
Protein modification by small protein conjugation or removal  98
Protein targeting103
Regulation of mitotic cell cycle phase transition165
Regulation of transcription, DNA-templated415
Ribosome biogenesis348
Signaling292
snoRNA metabolic process  33
snRNA metabolic process  19
Sulfur compound metabolic process109
Telomere organization  45
Transcription, DNA-templated470
Transmembrane transport355
tRNA metabolic process170
Vesicle-mediated transport329
Vitamin metabolic process  42
Proteins with a biological process annotation not covered by the slim  27
Proteins with no slim or biological process annotation748
PomBase also maintains a list of “priority unstudied genes” for genes conserved across taxa, but not yet characterized in any species (http://www.pombase.org/status/priority-unstudied-genes).

Ontology Term Views

Each ontology term used in annotations or extensions (GO, Fission Yeast Phenotype Ontology (FYPO), the Sequence Ontology (SO) [18], the chemical ontology ChEBI [19], and the PSI-MOD protein modification ontology [20]) has a term page in PomBase. The top of the term page shows the name, ID, direct links to more general “parent” terms in the ontology, and external links to relevant resources (Fig. 7A). For ontologies used directly in annotations (GO, FYPO, PSI-MOD), genes are associated with the most specific annotated descendant term (Fig. 7B shows a subset of the genes annotated directly to GO:0023052 “signaling” or any of its descendant terms). As on gene pages, the default summary view can be expanded to display annotation extensions, the type of relationship between child and parent terms (e.g., is_a, part_of or regulates), and supporting metadata (Fig. 7C).
Fig. 7

Ontology term pages. (A) The top of the page shows the term name, ID, and definition, along with immediate parent terms. Links to external resources are provided. (B) The summary view shows genes annotated directly to the term or to any of its child terms, and includes extensions. (C) The detailed view provides additional information such as the relationship of child terms to the parent term, evidence codes and references

Publication Pages

Every paper cited in support of PomBase annotations has a publication page that displays citation details, the abstract, and all annotations curated from the publication (Fig. 8). Publication pages are connected from annotation tables and the literature section on gene pages, and from all pages that display the corresponding annotations. The page also acknowledges any community member who has contributed to the annotations derived from the publication.
Fig. 8

Publication pages. The PMID:25987607 page shows publication details and a community curator acknowledgement at the top, and annotations derived from the paper. GO and FYPO annotations have summary and detailed views as on gene and ontology term pages

Querying

PomBase offers simple and advanced search tools for querying genes and their annotations. The simple search, available on every page, retrieves individual genes by standard name, systematic ID or an S. cerevisiae or human ortholog name. The advanced search retrieves sets of genes that match criteria specified by an assortment of filters (Fig. 9A). For example, ontology terms can be queried by name or ID to find annotated genes. All genes can be queried by criteria such as name, ID, product description, or chromosomal location. Additional filters are available for features of protein-coding genes. Queries can be combined to narrow down results to genes matching several criteria (Fig. 9B). Queries can be combined using the Boolean operators AND (intersect), NOT (subtract), and OR (union), and saved for reuse (Fig. 9C). For genes matching a query, IDs, names, product descriptions, and sequences can be downloaded. More flexible download options for query results are slated for addition to the advanced search.
Fig. 9

Query builder filtering. (A) A list of the different filters available to identify genes of interest. (B) The history section can be used to review previously run queries. Queries can be combined using the union, intersect and subtract operators. (C) An example of the results of running and combining queries. 753 genes (August 2017) are annotated to the GO term mitochondrion. Of these, 3498 are conserved in metazoa, 595 genes where any type of allele has been associated with hydroxyuruea sensitivity and 411 genes with the characterization status “conserved unknown,” i.e., of unknown function but conserved in other organisms. The union of these four queries identifies one gene

An additional stand-alone motif search tool searches all protein coding sequences to identify genes containing a specified amino acid pattern of interest.

Genome Browser and Datasets

The PomBase genome browser supports sequence viewing based on coordinates or feature identifiers. Data tracks are available for sequence-based datasets submitted by the fission yeast community from a variety of high-throughput experiments, including transcriptomic data [21-23], nucleosome positioning [23], replication profiling [24], polyadenylation sites [25, 26], and chromatin binding [27]. (Note: at the time of writing, PomBase is in the process of transitioning from a legacy browser to a JBrowse [28] implementation.) PomBase also provides a set of static pages describing various aspects of genome-level curation status and links to external community resources. The genome sequence and several annotation datasets (GO, phenotype, and modification data, orthologs, interactions, protein features, etc.) can be downloaded from PomBase’s FTP site.

Community and Outreach

PomBase makes community engagement a high priority, welcoming data submissions and feedback on the resources we provide. In addition to using Canto community curation as the primary mechanism for data collection from newly published papers, PomBase invites researchers to submit large-scale datasets for phenotype, expression, and other annotations in spreadsheet-compatible formats as well as datasets suitable to appear on genome browser tracks. The most recent community curation submissions are showcased on the PomBase front page, and PomBase is exploring mechanisms for curation attribution via ORCIDs (https://orcid.org/). We communicate with fission yeast researchers directly via our 1200-member community mailing list (pombelist) and at workshops and conferences, notably the biennial international S. pombe conference. To support PomBase usage, we run a helpdesk and maintain extensive documentation covering PomBase pages, annotation conventions, and Canto features. Advice on data usage and analysis disseminated via the helpdesk becomes incorporated into the extensive FAQ. Documentation and FAQs are available at http://www.pombase.org/help. We run periodic surveys to determine community priorities for new PomBase features and improvements to existing resources, and actively encourage corrections, improvements and suggestions to existing content of PomBase at all times.
  26 in total

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Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Comparative functional genomics of the fission yeasts.

Authors:  Nicholas Rhind; Zehua Chen; Moran Yassour; Dawn A Thompson; Brian J Haas; Naomi Habib; Ilan Wapinski; Sushmita Roy; Michael F Lin; David I Heiman; Sarah K Young; Kanji Furuya; Yabin Guo; Alison Pidoux; Huei Mei Chen; Barbara Robbertse; Jonathan M Goldberg; Keita Aoki; Elizabeth H Bayne; Aaron M Berlin; Christopher A Desjardins; Edward Dobbs; Livio Dukaj; Lin Fan; Michael G FitzGerald; Courtney French; Sharvari Gujja; Klavs Hansen; Dan Keifenheim; Joshua Z Levin; Rebecca A Mosher; Carolin A Müller; Jenna Pfiffner; Margaret Priest; Carsten Russ; Agata Smialowska; Peter Swoboda; Sean M Sykes; Matthew Vaughn; Sonya Vengrova; Ryan Yoder; Qiandong Zeng; Robin Allshire; David Baulcombe; Bruce W Birren; William Brown; Karl Ekwall; Manolis Kellis; Janet Leatherwood; Henry Levin; Hanah Margalit; Rob Martienssen; Conrad A Nieduszynski; Joseph W Spatafora; Nir Friedman; Jacob Z Dalgaard; Peter Baumann; Hironori Niki; Aviv Regev; Chad Nusbaum
Journal:  Science       Date:  2011-04-21       Impact factor: 47.728

3.  The PSI-MOD community standard for representation of protein modification data.

Authors:  Luisa Montecchi-Palazzi; Ron Beavis; Pierre-Alain Binz; Robert J Chalkley; John Cottrell; David Creasy; Jim Shofstahl; Sean L Seymour; John S Garavelli
Journal:  Nat Biotechnol       Date:  2008-08       Impact factor: 54.908

4.  Analysis of a genome-wide set of gene deletions in the fission yeast Schizosaccharomyces pombe.

Authors:  Dong-Uk Kim; Jacqueline Hayles; Dongsup Kim; Valerie Wood; Han-Oh Park; Misun Won; Hyang-Sook Yoo; Trevor Duhig; Miyoung Nam; Georgia Palmer; Sangjo Han; Linda Jeffery; Seung-Tae Baek; Hyemi Lee; Young Sam Shim; Minho Lee; Lila Kim; Kyung-Sun Heo; Eun Joo Noh; Ah-Reum Lee; Young-Joo Jang; Kyung-Sook Chung; Shin-Jung Choi; Jo-Young Park; Youngwoo Park; Hwan Mook Kim; Song-Kyu Park; Hae-Joon Park; Eun-Jung Kang; Hyong Bai Kim; Hyun-Sam Kang; Hee-Moon Park; Kyunghoon Kim; Kiwon Song; Kyung Bin Song; Paul Nurse; Kwang-Lae Hoe
Journal:  Nat Biotechnol       Date:  2010-05-16       Impact factor: 54.908

5.  JBrowse: a next-generation genome browser.

Authors:  Mitchell E Skinner; Andrew V Uzilov; Lincoln D Stein; Christopher J Mungall; Ian H Holmes
Journal:  Genome Res       Date:  2009-07-01       Impact factor: 9.043

6.  ORFeome cloning and global analysis of protein localization in the fission yeast Schizosaccharomyces pombe.

Authors:  Akihisa Matsuyama; Ritsuko Arai; Yoko Yashiroda; Atsuko Shirai; Ayako Kamata; Shigeko Sekido; Yumiko Kobayashi; Atsushi Hashimoto; Makiko Hamamoto; Yasushi Hiraoka; Sueharu Horinouchi; Minoru Yoshida
Journal:  Nat Biotechnol       Date:  2006-06-25       Impact factor: 54.908

7.  Dicer associates with chromatin to repress genome activity in Schizosaccharomyces pombe.

Authors:  Katrina J Woolcock; Dimos Gaidatzis; Tanel Punga; Marc Bühler
Journal:  Nat Struct Mol Biol       Date:  2010-12-12       Impact factor: 15.369

8.  The genome sequence of Schizosaccharomyces pombe.

Authors:  V Wood; R Gwilliam; M-A Rajandream; M Lyne; R Lyne; A Stewart; J Sgouros; N Peat; J Hayles; S Baker; D Basham; S Bowman; K Brooks; D Brown; S Brown; T Chillingworth; C Churcher; M Collins; R Connor; A Cronin; P Davis; T Feltwell; A Fraser; S Gentles; A Goble; N Hamlin; D Harris; J Hidalgo; G Hodgson; S Holroyd; T Hornsby; S Howarth; E J Huckle; S Hunt; K Jagels; K James; L Jones; M Jones; S Leather; S McDonald; J McLean; P Mooney; S Moule; K Mungall; L Murphy; D Niblett; C Odell; K Oliver; S O'Neil; D Pearson; M A Quail; E Rabbinowitsch; K Rutherford; S Rutter; D Saunders; K Seeger; S Sharp; J Skelton; M Simmonds; R Squares; S Squares; K Stevens; K Taylor; R G Taylor; A Tivey; S Walsh; T Warren; S Whitehead; J Woodward; G Volckaert; R Aert; J Robben; B Grymonprez; I Weltjens; E Vanstreels; M Rieger; M Schäfer; S Müller-Auer; C Gabel; M Fuchs; A Düsterhöft; C Fritzc; E Holzer; D Moestl; H Hilbert; K Borzym; I Langer; A Beck; H Lehrach; R Reinhardt; T M Pohl; P Eger; W Zimmermann; H Wedler; R Wambutt; B Purnelle; A Goffeau; E Cadieu; S Dréano; S Gloux; V Lelaure; S Mottier; F Galibert; S J Aves; Z Xiang; C Hunt; K Moore; S M Hurst; M Lucas; M Rochet; C Gaillardin; V A Tallada; A Garzon; G Thode; R R Daga; L Cruzado; J Jimenez; M Sánchez; F del Rey; J Benito; A Domínguez; J L Revuelta; S Moreno; J Armstrong; S L Forsburg; L Cerutti; T Lowe; W R McCombie; I Paulsen; J Potashkin; G V Shpakovski; D Ussery; B G Barrell; P Nurse; L Cerrutti
Journal:  Nature       Date:  2002-02-21       Impact factor: 49.962

9.  S. pombe genome deletion project: an update.

Authors:  Mario Spirek; Zsigmond Benko; Martina Carnecka; Cornelia Rumpf; Lubos Cipak; Monika Batova; Ivana Marova; Miyoung Nam; Dong-Uk Kim; Han-Oh Park; Jacqueline Hayles; Kwang-Lae Hoe; Paul Nurse; Juraj Gregan
Journal:  Cell Cycle       Date:  2010-06-15       Impact factor: 4.534

10.  The Sequence Ontology: a tool for the unification of genome annotations.

Authors:  Karen Eilbeck; Suzanna E Lewis; Christopher J Mungall; Mark Yandell; Lincoln Stein; Richard Durbin; Michael Ashburner
Journal:  Genome Biol       Date:  2005-04-29       Impact factor: 13.583

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  11 in total

1.  Hidden in plain sight: what remains to be discovered in the eukaryotic proteome?

Authors:  Valerie Wood; Antonia Lock; Midori A Harris; Kim Rutherford; Jürg Bähler; Stephen G Oliver
Journal:  Open Biol       Date:  2019-02-28       Impact factor: 6.411

2.  PomBase 2018: user-driven reimplementation of the fission yeast database provides rapid and intuitive access to diverse, interconnected information.

Authors:  Antonia Lock; Kim Rutherford; Midori A Harris; Jacqueline Hayles; Stephen G Oliver; Jürg Bähler; Valerie Wood
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

3.  Limited DNA Repair Gene Repertoire in Ascomycete Yeast Revealed by Comparative Genomics.

Authors:  Shira Milo; Reut Harari-Misgav; Einat Hazkani-Covo; Shay Covo
Journal:  Genome Biol Evol       Date:  2019-12-01       Impact factor: 3.416

Review 4.  Schizosaccharomyces pombe Assays to Study Mitotic Recombination Outcomes.

Authors:  Hannah M Hylton; Bailey E Lucas; Ruben C Petreaca
Journal:  Genes (Basel)       Date:  2020-01-10       Impact factor: 4.096

5.  Analysis of the SNARE Stx8 recycling reveals that the retromer-sorting motif has undergone evolutionary divergence.

Authors:  Francisco Yanguas; M-Henar Valdivieso
Journal:  PLoS Genet       Date:  2021-03-31       Impact factor: 5.917

6.  Multiple nutritional phenotypes of fission yeast mutants defective in genes encoding essential mitochondrial proteins.

Authors:  Lisa Uehara; Shigeaki Saitoh; Ayaka Mori; Kenichi Sajiki; Yusuke Toyoda; Fumie Masuda; Saeko Soejima; Yuria Tahara; Mitsuhiro Yanagida
Journal:  Open Biol       Date:  2021-04-07       Impact factor: 6.411

7.  Using MARRVEL v1.2 for Bioinformatics Analysis of Human Genes and Variant Pathogenicity.

Authors:  Julia Wang; Dongxue Mao; Fatima Fazal; Seon-Young Kim; Shinya Yamamoto; Hugo Bellen; Zhandong Liu
Journal:  Curr Protoc Bioinformatics       Date:  2019-09

8.  A genetic interaction map centered on cohesin reveals auxiliary factors involved in sister chromatid cohesion in S. cerevisiae.

Authors:  Su Ming Sun; Amandine Batté; Mireille Elmer; Sophie C van der Horst; Tibor van Welsem; Gordon Bean; Trey Ideker; Fred van Leeuwen; Haico van Attikum
Journal:  J Cell Sci       Date:  2020-05-22       Impact factor: 5.285

9.  Systematic analysis of bypass suppression of essential genes.

Authors:  Jolanda van Leeuwen; Carles Pons; Guihong Tan; Jason Zi Wang; Jing Hou; Jochen Weile; Marinella Gebbia; Wendy Liang; Ermira Shuteriqi; Zhijian Li; Maykel Lopes; Matej Ušaj; Andreia Dos Santos Lopes; Natascha van Lieshout; Chad L Myers; Frederick P Roth; Patrick Aloy; Brenda J Andrews; Charles Boone
Journal:  Mol Syst Biol       Date:  2020-09       Impact factor: 11.429

10.  Exomer Is Part of a Hub Where Polarized Secretion and Ionic Stress Connect.

Authors:  Sandra Moro; Esteban Moscoso-Romero; Abhishek Poddar; Jose M Mulet; Pilar Perez; Qian Chen; M-Henar Valdivieso
Journal:  Front Microbiol       Date:  2021-07-19       Impact factor: 5.640

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