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Copyright © 2006, Cold Spring Harbor Laboratory Press Functional genomics of genes with small open reading frames (sORFs) in S. cerevisiae 1 Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20889, USA 2 Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA 3 Department of Biochemistry, Stanford University School of Medicine, Stanford, California 94305, USA 4 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA 5 Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA 6These authors contributed equally to this work. 7Corresponding author. E-mail basraim/at/nih.gov; fax (301) 480-0380. Received June 28, 2005; Accepted October 6, 2005. This article has been cited by other articles in PMC.Abstract Genes with small open reading frames (sORFs; <100 amino acids) represent an untapped source of important biology. sORFs largely escaped analysis because they were difficult to predict computationally and less likely to be targeted by genetic screens. Thus, the substantial number of sORFs and their potential importance have only recently become clear. To investigate sORF function, we undertook the first functional studies of sORFs in any system, using the model eukaryote Saccharomyces cerevisiae. Based on independent experimental approaches and computational analyses, evidence exists for 299 sORFs in the S. cerevisiae genome, representing ~5% of the annotated ORFs. We determined that a similar percentage of sORFs are annotated in other eukaryotes, including humans, and 184 of the S. cerevisiae sORFs exhibit similarity with ORFs in other organisms. To investigate sORF function, we constructed a collection of gene-deletion mutants of 140 newly identified sORFs, each of which contains a strain-specific “molecular barcode,” bringing the total number of sORF deletion strains to 247. Phenotypic analyses of the new gene-deletion strains identified 22 sORFs required for haploid growth, growth at high temperature, growth in the presence of a nonfermentable carbon source, or growth in the presence of DNA damage and replication-arrest agents. We provide a collection of sORF deletion strains that can be integrated into the existing deletion collection as a resource for the yeast community for elucidating gene function. Moreover, our analyses of the S. cerevisiae sORFs establish that sORFs are conserved across eukaryotes and have important biological functions. The initial Saccharomyces cerevisiae genome sequencing effort annotated all ORFs of at least 100 contiguous codons (including the first ATG) not contained entirely within a longer ORF (Goffeau et al. 1996). Knowledge of sORF (small open reading frame; <100 amino acids) function is limited compared to that of larger genes, although small proteins include members of important classes such as mating pheromones, proteins involved in energy metabolism, proteolipids, chaperonins, stress proteins, transporters, transcriptional regulators, nucleases, ribosomal proteins, thioredoxins, and metal ion chelators (for review, see Basrai et al. 1997). Computational discovery of sORFs is difficult because they are “buried” in an enormous pile of meaningless short ORFs that arise by chance. In addition, sORFs are not favorable targets for random mutagenesis. Similar challenges plague attempts to identify non-coding RNAs (ncRNAs), transcripts that function at the level of RNA rather than as templates for translation (for review, see Eddy 2001). Despite the challenges of sORF identification, reports since the publication of the S. cerevisiae genome indicate that sORFs are quite numerous in S. cerevisiae and many are evolutionarily conserved from distantly related fungi to humans. Many S. cerevisiae sORFs were discovered through expression-based analyses. Velculescu and colleagues used serial analysis of gene expression (SAGE) to identify, quantitate, and compare global gene expression patterns in S. cerevisiae (Velculescu et al. 1995, 1997; Basrai and Hieter 2002). The SAGE technique is based on two principles: (1) a 9–10-bp sequence tag derived from a defined region in any poly(A)+ transcript that uniquely identifies the transcript; and (2) multiple sequence tags that are concatenated and sequenced in a single sequencing lane. In addition to confirming expression of annotated genes, the SAGE study provided the first evidence that hundreds of non-annotated reading frames (NORFs), including many sORFs, are transcribed in S. cerevisiae. We subsequently characterized one of these sORFs, NORF5/HUG1, and determined that it is a downstream target of the MEC1-mediated pathway for DNA damage and replication arrest (Basrai et al. 1999). These results validated the functional significance of sORFs found through systems biology approaches and suggested that other sORFs may have important functions. Since the SAGE study, additional studies provided expression-based evidence for sORFs. Transcripts for potential sORFs or ncRNAs from intergenic regions were detected by Northern blotting (Olivas et al. 1997). A combined microarray and proteomics approach confirmed transcription of many sORFs discovered by SAGE and detected peptides corresponding to numerous sORFs, including some not reported by SAGE (Oshiro et al. 2002). Additional sORFs were discovered using a gene-trap strategy based on genomic integration of a modified bacterial transposon, and their expression was confirmed by strand-specific oligonucleotide dot-blot arrays (Kumar et al. 2002). Interestingly, some of the sORFs discovered by gene-trap are antisense to coding genes (Kumar et al. 2002). Potential sORF homologs were identified for many of the sORFs discovered in the expression-based studies, and recent comparative genomic studies have expanded the number of sORFs with potential orthologs. Conserved sORFs were reported from comparisons of the S. cerevisiae genome to partial genome sequences from 13 hemiascomycetes and the complete genome sequences from distantly and closely related fungi (Blandin et al. 2000; Brachat et al. 2003; Cliften et al. 2003; Kellis et al. 2003). A recent study that combined homology searching with RT-PCR identified conserved sORFs whose expression was detected at the level of RNA (Kessler et al. 2003). Based on the published literature, at least 299 genes in S. cerevisiae likely encode sORFs. We discovered that a similar percentage of sORFs are annotated in multiple eukaryotes and that many of the S. cerevisiae sORFs have potential orthologs in other eukaryotes. We constructed gene-deletion strains for 140 sORFs, bringing the total number of sORF deletion strains to 247. We analyzed these 140 new sORF deletion strains for growth phenotypes and identified sORFs that are essential for haploid growth and for growth at high temperature. We also identified sORFs required for growth under genotoxic conditions including exposure to hydroxyurea (HU), bleomycin, methyl methane sulfonate (MMS), or ultraviolet (UV) radiation. These data highlight the value of expression analyses and comparative genomics to identify sORFs and the advantages of S. cerevisiae genetics in investigating sORF function. Results and Discussion Evidence of S. cerevisiae sORFs The S. cerevisiae genome has 299 annotated sORFs (Saccharomyces Genome Database; http://www.yeastgenome.org/) (Fig. 1A
Many of the new sORFs were detected by more than one approach (Fig. 1B Small proteins constitute a significant percentage of annotated proteins in eukaryotes The 299 sORFs constitute ~5% of the 5865 genes annotated for S. cerevisiae in the NCBI RefSeq database (http://www.ncbi.nlm.nih.gov/RefSeq/) (Fig. 2
sORFs are evolutionarily conserved Many of the new sORFs were discovered based on homology (103 of 170 sORFs) (Fig. 1B For our BLAST analyses, we compared the sORFs to the annotated proteins from the representative eukaryotes (Fig. 2
Our analysis of HomoloGene revealed additional conserved sORFs. HomoloGene is a system that automatically detects homologs among the annotated genes of several completely sequenced eukaryotic genomes including H. sapiens and M. musculus (Supplemental material). Seventy-one sORFs were found in HomoloGene clusters conserved at several taxonomic levels, and 55 of the clusters have an assignment from the Conserved Domain Database (Marchler-Bauer et al. 2005), a collection of multiple sequence alignments for ancient domains and full-length proteins (Supplemental Table B). The conserved domains cover a broad spectrum; however, a conserved domain derived from SMART domain 00651, annotated as “small nuclear ribonucleoprotein particles (snRNPs) involved in pre-mRNA splicing,” was represented most frequently, occurring five times. Zinc-finger, ubiquitin-like, and ribosomal protein domains were also encountered multiple times. In summary, our results, combined with previously published reports, establish that 184 of the S. cerevisiae sORFs may have potential orthologs in other organisms (Supplemental Table B), including distantly related organisms, such as humans, and ~60% of these orthologs may themselves be sORFs (data not shown). Therefore, functional analysis of the S. cerevisiae sORFs has the potential to yield insight into the functions of the S. cerevisiae sORFs and those of other eukaryotes. Generation of sORF deletion strains Gene-deletion strain collections of S. cerevisiae have revolutionized functional analyses of genes (e.g., Winzeler et al. 1999). Since only 106 of the 299 sORFs are represented in the previous collection (version 1.0), we attempted to construct gene-deletion strains of the remaining sORFs in the same genetic background as described for the initial yeast gene-deletion strains (Winzeler et al. 1999; Supplemental Fig. 1) (see Methods). Using homologous recombination, we constructed individual strains in which sequences from the start codon to the stop codon of the sORF were replaced by a kanMX cassette in a diploid strain (Methods) (Supplemental Fig. 1). Each sORF gene-deletion mutant is publicly available either as haploids (MATa and MATα) or as diploids (homozygous or heterozygous; see http://www-sequence.stanford.edu/group/yeast_deletion_project/deletions3.html). The gene-deletion strains contain “molecular barcodes” that will facilitate rapid identification and analysis of genes in genome-wide approaches to analyze gene function (Winzeler et al. 1999; for review, see Pan et al. 2004). We determined that the molecular barcodes corresponding to the sORF deletions are detectable in microarray experiments using the Tag3 arrays (Affymetrix) (data not shown). In total, we constructed 140 sORF heterozygous deletion strains (~93% of the 151 attempted), bringing the total number of sORF deletion strains available to the yeast community to 247 (Supplemental Table A). The remaining sORF deletion strains were not constructed because of technical problems including the inability to design gene-specific primers or to recover transformants. Identification of essential sORFs Sporulation of eight of the 140 new sORF heterozygous deletion strains resulted in two viable (genticin-sensitive) and two inviable (sORF deletion) spores, indicating that the corresponding sORFs are essential for viability (Table 2). Three of these genes were previously uncharacterized—YLR099W-A, YNL024C-A, and YNL138W-A—while the remaining five sORFs were previously shown to be essential, which we confirmed in the gene-deletion strain background. These sORFs are required for functions such as kinetochore or spindle integrity (Cheeseman et al. 2002; Li et al. 2005), ER to golgi transport (Heidtman et al. 2005), and pseudouridine biosynthesis (Henras et al. 1998). Combined with the results from Version 1.0, 21 of the sORFs are essential, representing ~8% of sORFs analyzed. The percentage of essential sORFs differs from that of larger ORFs in which ~20% of ORFs tested are essential (Winzeler et al. 1999). This difference may reflect redundancy in sORF function, or indicate that sORFs have regulatory roles rather than essential functions.
Phenotypic analyses of haploid sORF deletion strains Six of the new haploid sORF deletion strains exhibit slow-growth phenotypes when grown at 30°C (Table 2), including strains deleted for YBL071W-A/KTI11 and YPL096C-A/ERI1, which are known to exhibit slow growth (Fichtner and Schaffrath 2002; Sobering et al. 2003). We further analyzed the growth of the new haploid sORF deletion strains in pilot screens under the following conditions: (1) at high (37°C) or low (11°C) temperatures; (2) in the presence of a sole nonfermentable carbon source; and (3) in the presence of the replication-arrest agent HU and DNA-damaging agents including MMS, bleomycin, and UV radiation. To confirm the results of the pilot screen, we sporulated heterozygous strains corresponding to the haploid strains with phenotypes and characterized the meiotic progeny. For each strain, we analyzed three independent sORF deletion spores and confirmed that the phenotype was linked to the sORF deletion. Upon verification of the phenotypes, we confirmed chromosomal deletion of the sORF by PCR and sequence analysis of the genomic locus at the site of integration of the kanMX cassette (see Methods). We observed that three of the sORF deletion strains are temperature-sensitive (Ts) for growth at 37°C (Fig. 3A
We tested the sORF deletion strains for a “petite” phenotype, which refers to an inability to grow in the presence of a nonfermentable carbon source and is an attribute of several mutants including mitochondrial mutants (for review, see Chen and Clark-Walker 2000). We determined that three sORF deletion strains exhibit a “petite” phenotype (Fig. 3B
To investigate the potential role of sORFs in response to genotoxic stress, we assayed the sORF deletion strains for sensitivity to the replication-arrest agent HU and to DNA-damaging agents bleomycin, MMS, and UV radiation. Sensitivity to these genotoxic agents can provide important clues about the roles of the genes in replication, transcription, cell-cycle progression, and chromosome segregation (Chang et al. 2002; Aouida et al. 2004; Parsons et al. 2004). In addition, many S. cerevisiae genes required for responding to DNA damage and replication arrest have human orthologs, mutations in which lead to human diseases (for review, see Zhou and Elledge 2000). For these studies, strains grown to logarithmic phase were serially diluted, spotted on medium containing the appropriate drug, or exposed to UV, and incubated for 2–3 d at 30°C. The S. cerevisiae checkpoint mutant mec1Δ sml1Δ, which exhibits sensitivity to HU, bleomycin, MMS, and UV radiation, served as a control (Kiser and Weinert 1996). HU inhibits ribonucleotide reductase, an enzyme that is required for synthesis of dNTPs in S. cerevisiae and other systems, and leads to an arrest in S-phase of the cell cycle (Elledge et al. 1993). As shown in Figure 4A
Next, we tested bleomycin, a radiomimetic drug that leads to both single- and double-stranded DNA damage (Chen and Stubbe 2005), and discovered that four sORF deletion strains are sensitive to bleomycin. sORF deletion strains lacking YBR058C-A/TSC3 showed the most sensitivity, while ykl096c-bΔ and ydr524w-cΔ strains were only moderately sensitive to bleomycin (10 mU/mL) (Fig. 4B We also discovered a new sORF required for growth in the presence of MMS. MMS is a DNA-alkylating agent that primarily methylates DNA on N7-deoxyguanine and N3-deoxyadenine (Pegg 1984). Resistance to MMS requires genes from the bypass, post-replication, recombination, base excision repair, and/or checkpoint pathways (Weinert et al. 1994; Xiao et al. 1996; Tercero and Diffley 2001). The sORF deletion strain ybr111w-aΔ/sus1Δ is sensitive to growth on MMS medium (Fig. 4C The sORF deletion strains exhibit overlapping and distinct phenotypes Taken together, we observed conditional phenotypes for nine sORF deletion strains (Table 3). Not surprisingly, we observed that several of the sORF deletion strains exhibit overlapping phenotypes when subjected to DNA damage or replication arrest, an observation made with other ORF deletion strains (Chang et al. 2002; Table 3). For example, two of the HU-sensitive strains also exhibit sensitivity to bleomycin and MMS. Interestingly, all three Ts sORF deletion strains are also sensitive to DNA-damage or replication-arrest agents. These results may suggest that the role of these genes in response to DNA damage and replication arrest may be essential for haploid growth at the nonpermissive temperature of 37°C. Phenotypic analyses of deletion strains for genes flanking the sORFs Six of the sORFs that exhibited phenotypes distinct from wild type when deleted (YBR058C-A/TSC3, YBR111W-A/SUS1, YDR079C-A/TFB5, YEL059C-A/SOM1, YJL062W-A, and YKL096C-B) are within 300 bp of larger ORFs. The phenotypes we observed may be due to altered expression of the neighboring ORFs caused by disruptions in their promoters or 5′- or 3′-untranslated regions rather than loss of function of the deleted sORFs. We therefore examined the phenotypes of strains with deletions of genes that are within 300 bp of the sORFs, a conservative approach, as ~60% of ORFs, both large and small, are within 300 bp of another ORF. In all but two cases (YBR111W-A/SUS1, YJL062W-A), deletion of the neighboring genes did not produce the phenotypes we observed for the sorfΔ strain (Supplemental Table C). For these two deletions strains, their phenotypes could be due to interference of expression of a neighboring ORF, loss of the sORF, or both. We determined that the deletion strain for YGR271C-A showed slow growth, Ts, and an HU-sensitivity phenotype and that a deletion strain for YGR272C, which is 51 bp away from YGR271C-A, also exhibits such phenotypes (Fig. 5A
Protein expression analysis of the sORFs Recent evidence of expression at the protein level for sORFs has come from genome-wide TAP- and GFP-tagging experiments (Ghaemmaghami et al. 2003; Huh et al. 2003; Supplemental Table A). Protein expression for some of the sORFs detected in our screens has been reported in these (Supplemental Table A) and other studies (Table 3). We epitope-tagged a subset of sORFs identified in our phenotypic analyses by introducing a haemagglutinin epitope (HA) at the C-terminus in their chromosomal context and examined expression of the tagged protein by Western blot analysis. We detected expression of proteins from strains expressing HA-tagged YJL062W-A, YPL189C-A, and YDR524W-C (Fig. 6
Conclusions In the past, the function of sORFs has been elusive owing to inherent difficulties in identifying them based on genetic, biochemical, or solely computational approaches. S. cerevisiae represents one of the few systems with a wealth of data derived from several functional genomic and comparative genomic studies. Using the strengths of S. cerevisiae as a model, we provide the first systematic investigation of sORF function in any system. Our analysis of the literature combined with our genetic analyses for sORF function presents a comprehensive database for the 299 sORFs in S. cerevisiae. Of the S. cerevisiae sORFs, 184 are related to sequences in other eukaryotes, suggesting the evolutionary conservation of the structure and perhaps function of these sORFs. Although relatively little is known about sORF functions, they have been implicated in key cellular processes including transport, intermediary metabolism, chromosome segregation, genome stability, and other functions. The sORF gene-deletion collection should lead to the discovery of additional functions for sORFs in S. cerevisiae. Moreover, our results, which emphasize the biological significance of sORFs in S. cerevisiae that are conserved across eukaryotes, should provide an impetus for the identification and characterization of sORFs in other systems, including humans. Methods Analysis of sORF percentage in representative eukaryotes The number of sORFs coding for proteins of 100 amino acids in length or less, annotated on the transcripts of model organisms in the NCBI RefSeq database, was determined using a query of the Entrez Protein database of the form: srcdb refseq[prop] AND homo sapiens[orgn] AND 0:100[slen]. The total number of ORFs in each set was counted using a query of the form: srcdb refseq[prop] AND homo sapiens[orgn]. The version of RefSeq used was that present in Entrez on 3/15/2005 corresponding to RefSeq release 10, available on 3/6/2005 with updates from 3/6/2005 to 3/15/2005. Homology searches HomoloGene For this study, HomoloGene build 38.1, dating from November 23, 2004, was used (ftp://ftp.ncbi.nih.gov/pub/HomoloGene/). BLAST of sORFs with annotated proteins and UniGene Single sequence representatives of the UniGene clusters, the “seq-uniques” described in Supplemental material, were downloaded for each organism from the NCBI FTP site (ftp://ftp.ncbi.nih.gov/) and compared to the sORFs using BLAST (see Supplemental material; Altschul et al. 1997). The best BLAST hit was extracted for each sORF only if the hit spanned at least one-third of the translated ORF with an amino acid identity of at least 40%; otherwise, no hit was extracted. The results are summarized in Supplemental Table B. Media and yeast strains The media and methodology for yeast growth were as described (Gietz et al. 1992, 1995; Adams et al. 1997; Brachmann et al. 1998). The deletion strain was generated in diploid strain BY4743 (MATa/α his3Δ1/his3Δ1 leu2Δ0/leu2Δ0 lys2Δ0/LYS2 MET15/met15Δ0 ura3Δ0/ura3Δ0), and the haploid spores isogenic with BY4741 (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0) and BY4742 (MATα his3Δ1 leu2Δ0 lys2Δ0 ura3Δ0) were identified (Winzeler et al. 1999). Other strains include the temperature-sensitive control strain JK421 (MATa ade2-1 ura3-1 his3-11,1 trp1-1 leu2-3,112 can1-100 ndc10-1) (Goh and Kilmartin 1993) and the checkpoint mutant U953–61D (MATa leu2-3,112 ade2-1 can1-100 his3-11,15 ura3-1 trp1-1 RAD5 mec1Δ::TRP1 sml1Δ::HIS3) (Zhao et al. 1998). Gene-deletion strain construction and confirmation A PCR-generated (Baudin et al. 1993; Wach et al. 1994) deletion strategy was used to systematically replace each sORF from its start to its stop codon with a kanMX module and two unique 20-mer molecular barcodes as done previously for the gene-deletion strain collection (Winzeler et al. 1999; Giaever et al. 2002; Supplemental Fig. 1; Supplemental material; barcode sequences are given in Supplemental Table A). Each sORF gene-deletion mutant is publicly available either as haploids (MATa and MATα) or as diploids (homozygous or heterozygous; see http://www-sequence.stanford.edu/group/yeast_deletion_project/deletions3.html). Phenotypic analyses of sORF deletion strains For sensitivity to HU, MMS, bleomycin, UV, and nonpermissive growth temperatures, we assayed serial dilutions of the sORF strains on YPD or YPD containing 200 mM hydroxyurea (HU; H8627; Sigma), 0.02% methane methylsulfonate (MMS; 64294; Fluka Chemika), or 10 mU/mL bleomycin (BLM; 3154-01; Bristol-Myers Squibb Co.). For sensitivity to UV-radiation, we irradiated strains spotted on YPD with 20 mJ/m2 using a Stratalinker (Stratagene). For growth at the nonpermissive temperatures, we incubated plates at either 11°C or 37°C. A “petite” phenotype was determined by plating strains on a modified YPD medium in which dextrose was substituted with 2% glycerol and 2% ethanol. Protein expression analysis of HA-tagged ORFs ORFs were fused in-frame at the genomic locus with three copies of the HA epitope at their C-terminus as previously described (Longtine et al. 1998; Supplemental material). Protein extracts of ORF-HA-expressing strains were analyzed by Western blot analysis as described previously (Crotti and Basrai 2004). The primary antibody was anti-HA (clone 12CA5-Roche) or anti-Tub2p (polyclonal antibody, Basrai lab), and the secondary antibody was HRP-conjugated sheep anti-mouse IgG (NA931V; Amersham). α-Factor arrest/release experiments Strains were grown overnight at 30°C in YPD medium and then diluted into fresh medium to obtain a logarithmic-phase culture. Cells were arrested in the presence of 3 μM α-factor (T-6901; Sigma) at 30°C for 90 min, washed twice with water, and resuspended in fresh YPD medium and incubated at 30°C. DNA content was assayed every 20 min after release from the α-factor arrest for a total of 3 h as described previously (Doheny et al. 1993; Basrai et al. 1996) using a Becton-Dickinson FACSort flow cytometer and CellQuest software (BD Biosciences). Acknowledgments The authors thank Anand Sethuraman and Mike Cherry for help with compiling the sequences of the sORFs; Anuj Kumar for sharing unpublished data; Lucy Liu and Xiuquiong Zhou for tetrad dissections; Keith Anderson, Ana Aparicio, and Mike Jensen of the SGTC (Stanford Genome Technology Center) for assistance with the A.M.O.S. primers; and Mark Johnston for advice and support of this work. This work was supported in part by NIH grant R01-HG02432 to J.D.B. and by the Intramural Research Program of the NIH and NCI. Notes [Supplemental material is available online at www.genome.org.] Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.4355406. References
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Science. 1996 Oct 25; 274(5287):546, 563-7.
[Science. 1996]Genome Res. 1997 Aug; 7(8):768-71.
[Genome Res. 1997]Nat Rev Genet. 2001 Dec; 2(12):919-29.
[Nat Rev Genet. 2001]Science. 1995 Oct 20; 270(5235):484-7.
[Science. 1995]Cell. 1997 Jan 24; 88(2):243-51.
[Cell. 1997]Methods Enzymol. 2002; 350():414-44.
[Methods Enzymol. 2002]Mol Cell Biol. 1999 Oct; 19(10):7041-9.
[Mol Cell Biol. 1999]Nucleic Acids Res. 1997 Nov 15; 25(22):4619-25.
[Nucleic Acids Res. 1997]Genome Res. 2002 Aug; 12(8):1210-20.
[Genome Res. 2002]Nat Biotechnol. 2002 Jan; 20(1):58-63.
[Nat Biotechnol. 2002]FEBS Lett. 2000 Dec 22; 487(1):31-6.
[FEBS Lett. 2000]Genome Biol. 2003; 4(7):R45.
[Genome Biol. 2003]Science. 2003 Jul 4; 301(5629):71-6.
[Science. 2003]Nature. 2003 May 15; 423(6937):241-54.
[Nature. 2003]Genome Res. 2003 Feb; 13(2):264-71.
[Genome Res. 2003]Cell. 1997 Jan 24; 88(2):243-51.
[Cell. 1997]Nat Biotechnol. 2002 Jan; 20(1):58-63.
[Nat Biotechnol. 2002]Genome Res. 2002 Aug; 12(8):1210-20.
[Genome Res. 2002]Genome Res. 2003 Feb; 13(2):264-71.
[Genome Res. 2003]Nucleic Acids Res. 1997 Nov 15; 25(22):4619-25.
[Nucleic Acids Res. 1997]Science. 2003 Jul 4; 301(5629):71-6.
[Science. 2003]Nucleic Acids Res. 2005 Jan 1; 33(Database issue):D501-4.
[Nucleic Acids Res. 2005]Genome Res. 2003 Feb; 13(2):264-71.
[Genome Res. 2003]Genome Res. 2002 Aug; 12(8):1210-20.
[Genome Res. 2002]Nucleic Acids Res. 2005 Jan 1; 33(Database issue):D39-45.
[Nucleic Acids Res. 2005]Nucleic Acids Res. 2005 Jan 1; 33(Database issue):D192-6.
[Nucleic Acids Res. 2005]Science. 1999 Aug 6; 285(5429):901-6.
[Science. 1999]Science. 1999 Aug 6; 285(5429):901-6.
[Science. 1999]Mol Cell. 2004 Nov 5; 16(3):487-96.
[Mol Cell. 2004]Cell. 2002 Oct 18; 111(2):163-72.
[Cell. 2002]Mol Cell Biol. 2005 Jan; 25(2):767-78.
[Mol Cell Biol. 2005]Mol Biol Cell. 2005 Apr; 16(4):1673-83.
[Mol Biol Cell. 2005]EMBO J. 1998 Dec 1; 17(23):7078-90.
[EMBO J. 1998]Science. 1999 Aug 6; 285(5429):901-6.
[Science. 1999]Mol Microbiol. 2002 May; 44(3):865-75.
[Mol Microbiol. 2002]Mol Cell Biol. 2003 Jul; 23(14):4983-90.
[Mol Cell Biol. 2003]J Cell Biol. 1993 May; 121(3):503-12.
[J Cell Biol. 1993]J Biol Chem. 2000 Mar 17; 275(11):7597-603.
[J Biol Chem. 2000]Nat Genet. 2004 Jul; 36(7):707-13.
[Nat Genet. 2004]Int Rev Cytol. 2000; 194():197-238.
[Int Rev Cytol. 2000]Mol Gen Genet. 1996 Sep 25; 252(4):437-45.
[Mol Gen Genet. 1996]Nature. 2003 Oct 16; 425(6959):686-91.
[Nature. 2003]Proc Natl Acad Sci U S A. 2002 Dec 24; 99(26):16934-9.
[Proc Natl Acad Sci U S A. 2002]Curr Genet. 2004 May; 45(5):265-72.
[Curr Genet. 2004]Nat Biotechnol. 2004 Jan; 22(1):62-9.
[Nat Biotechnol. 2004]Nature. 2000 Nov 23; 408(6811):433-9.
[Nature. 2000]Mol Biol Cell. 1996 May; 7(5):703-18.
[Mol Biol Cell. 1996]Bioessays. 1993 May; 15(5):333-9.
[Bioessays. 1993]J Biol Chem. 2000 Mar 17; 275(11):7597-603.
[J Biol Chem. 2000]Cell. 2004 Jan 9; 116(1):75-86.
[Cell. 2004]Nat Rev Cancer. 2005 Feb; 5(2):102-12.
[Nat Rev Cancer. 2005]IARC Sci Publ. 1984; (57):575-80.
[IARC Sci Publ. 1984]Genes Dev. 1994 Mar 15; 8(6):652-65.
[Genes Dev. 1994]Curr Genet. 1996 Dec; 30(6):461-8.
[Curr Genet. 1996]Nature. 2001 Aug 2; 412(6846):553-7.
[Nature. 2001]Cell. 2004 Jan 9; 116(1):75-86.
[Cell. 2004]Proc Natl Acad Sci U S A. 2002 Dec 24; 99(26):16934-9.
[Proc Natl Acad Sci U S A. 2002]Genome Biol. 2003; 4(7):R45.
[Genome Biol. 2003]Nature. 2003 Oct 16; 425(6959):737-41.
[Nature. 2003]Nature. 2003 Oct 16; 425(6959):686-91.
[Nature. 2003]Nucleic Acids Res. 1997 Sep 1; 25(17):3389-402.
[Nucleic Acids Res. 1997]Nucleic Acids Res. 1992 Mar 25; 20(6):1425.
[Nucleic Acids Res. 1992]Yeast. 1995 Apr 15; 11(4):355-60.
[Yeast. 1995]Yeast. 1998 Jan 30; 14(2):115-32.
[Yeast. 1998]Science. 1999 Aug 6; 285(5429):901-6.
[Science. 1999]J Cell Biol. 1993 May; 121(3):503-12.
[J Cell Biol. 1993]Nucleic Acids Res. 1993 Jul 11; 21(14):3329-30.
[Nucleic Acids Res. 1993]Yeast. 1994 Dec; 10(13):1793-808.
[Yeast. 1994]Science. 1999 Aug 6; 285(5429):901-6.
[Science. 1999]Nature. 2002 Jul 25; 418(6896):387-91.
[Nature. 2002]Yeast. 1998 Jul; 14(10):953-61.
[Yeast. 1998]EMBO J. 2004 Apr 21; 23(8):1804-14.
[EMBO J. 2004]Cell. 1993 May 21; 73(4):761-74.
[Cell. 1993]Mol Cell Biol. 1996 Jun; 16(6):2838-47.
[Mol Cell Biol. 1996]Genome Biol. 2003; 4(7):R45.
[Genome Biol. 2003]