A genome-wide deletion mutant screen identifies pathways affected by nickel sulfate in Saccharomyces cerevisiae
- Adriana Arita†1,
- Xue Zhou†1,
- Thomas P Ellen†1,
- Xin Liu1,
- Jingxiang Bai1,
- John P Rooney2,
- Adrienne Kurtz1,
- Catherine B Klein1,
- Wei Dai1,
- Thomas J Begley2 and
- Max Costa1Email author
© Arita et al; licensee BioMed Central Ltd. 2009
Received: 11 March 2009
Accepted: 15 November 2009
Published: 15 November 2009
The understanding of the biological function, regulation, and cellular interactions of the yeast genome and proteome, along with the high conservation in gene function found between yeast genes and their human homologues, has allowed for Saccharomyces cerevisiae to be used as a model organism to deduce biological processes in human cells. Here, we have completed a systematic screen of the entire set of 4,733 haploid S. cerevisiae gene deletion strains (the entire set of nonessential genes for this organism) to identify gene products that modulate cellular toxicity to nickel sulfate (NiSO4).
We have identified 149 genes whose gene deletion causes sensitivity to NiSO4 and 119 genes whose gene deletion confers resistance. Pathways analysis with proteins whose absence renders cells sensitive and resistant to nickel identified a wide range of cellular processes engaged in the toxicity of S. cerevisiae to NiSO4. Functional categories overrepresented with proteins whose absence renders cells sensitive to NiSO4 include homeostasis of protons, cation transport, transport ATPases, endocytosis, siderophore-iron transport, homeostasis of metal ions, and the diphthamide biosynthesis pathway. Functional categories overrepresented with proteins whose absence renders cells resistant to nickel include functioning and transport of the vacuole and lysosome, protein targeting, sorting, and translocation, intra-Golgi transport, regulation of C-compound and carbohydrate metabolism, transcriptional repression, and chromosome segregation/division. Interactome analysis mapped seven nickel toxicity modulating and ten nickel-resistance networks. Additionally, we studied the degree of sensitivity or resistance of the 111 nickel-sensitive and 72 -resistant strains whose gene deletion product has a similar protein in human cells.
We have undertaken a whole genome approach in order to further understand the mechanism(s) regulating the cell's toxicity to nickel compounds. We have used computational methods to integrate the data and generate global models of the yeast's cellular response to NiSO4. The results of our study shed light on molecular pathways associated with the cellular response of eukaryotic cells to nickel compounds and provide potential implications for further understanding the toxic effects of nickel compounds to human cells.
The sequencing of the human and yeast genomes and the high conservation in gene function found between yeast genes and their human homologues has made Saccharomyces cerevisiae a fast and cost-efficient model organism to deduce biological processes in human cells. Data from genomic analysis of yeast transcriptional profiling, yeast two-hybrid screen, cellular localization, and transcription factor binding studies have provided a very thorough understanding of the biological function and regulation of the yeast genome and proteome, as well as allowed computational methods to generate global models of the cellular responses to environmental agents . Deletion mutations of S. cerevisiae constructed for ~6200 known genes have identified ~4733 viable haploid gene-deletion mutants [2–4]. Genome-wide phenotyping screens, that screen deletion mutants of the entire set of nonessential yeast genes, have been useful in the past to elucidate the role of nonessential proteins in modulating toxicity after exposure to DNA damaging agents and environmental stressors [1, 5–10]. Additionally, data from genomic phenotypic screens have allowed for the generation of cellular recovery pathways by merging global phenotypic data with global cellular localization and protein interactome data . This type of analysis has been a useful method to shed light on previously little known molecular mechanisms/pathways associated with the tolerance of eukaryotic cells to toxic agents.
Nickel (Ni) is a toxic and carcinogenic metal widely used in the production of coins, jewelry, stainless steel, batteries, certain medical devices, carbon nanoparticles, and in Ni refinery, plating and welding . Occupational exposure to nickel compounds has been associated with respiratory distress and lung and nasal cancers . Although epidemiological, animal, and cell culture studies have found nickel compounds to be carcinogenic [12–16], the precise mechanism(s) of nickel carcinogenesis remains unclear. Instead, numerous studies have implicated structural alterations in chromatin and epigenetic changes as the primary events in nickel carcinogenesis [17–26]. Nickel compounds have also been shown to interfere with cellular iron uptake and the function of enzymes containing iron in their active sites [27, 28]. Other suggested mechanisms of nickel carcinogenesis include the inappropriate activation of several cellular stress response pathways involving MAPKs, PI3K, HIF-1, NFAT, and NF-κB (reviewed in .
We have completed a genome-wide phenotypic screen with a library of the entire set of nonessential haploid Saccharomyces cerevisiae gene deletion strains to assess the role of nonessential proteins in modulating toxicity upon exposure to NiSO4. Using our yeast genetic screen we have identified 149 genes whose gene deletion causes sensitivity to NiSO4 and 119 genes whose gene deletion confers resistance. Pathways analysis with proteins whose absence renders cells more sensitive and resistant to nickel identified a wide range of cellular processes engaged in the toxicity of S. cerevisiae to NiSO4. Functional categories overrepresented with proteins whose absence renders cells sensitive to NiSO4 include homeostasis of protons, cation transport, transport ATPases, endocytosis, siderophore-iron transport, homeostasis of metal ions, and the diphthamide biosynthesis pathway. Functional categories overrepresented with proteins whose absence renders cells resistant to nickel include functioning and transport of the vacuole and lysosome, protein targeting, sorting, and translocation, intra-golgi transport, regulation of C-compound and carbohydrate metabolism, transcriptional repression, and chromosome segregation/division. Seven nickel toxicity modulating networks and ten nickel resistance networks were identified. The biological function of the nickel toxicity modulating networks and resistance networks also highlight the pathways described above as well as identify components of the alkaline phosphatase pathway and THO nuclear complex as mediating sensitivity to nickel. Additionally, we studied the degree of sensitivity or resistance of the 111 nickel-sensitive and 72 resistant strains whose gene deletion product has a similar protein in human cells. In this study we suggest a possible role of the evolutionarily conserved diphthamide biosynthesis pathway as well as components of the outer kinetochore involved in chromosome segregation in mediating toxicity of S. cerevisiae to nickel.
We have carried out a genomic phenotypic screen in order to identify proteins in S. cerevisiae important for regulating cellular toxicity to nickel compounds and have used computational methods to integrate the data and generate global models of the yeast's cellular response to NiSO4. The results of our study shed light on molecular pathways important in the cellular response of S. cerevisiae to nickel compounds and provide potential implications for further understanding the toxic effects of nickel compounds to human cells.
Results and Discussion
Identification of nickel-sensitive and resistant S. cerevisiae single gene deletion mutants
Functional categories overrepresented with proteins whose absence renders cells sensitive to NiSO4
Functional categories overrepresented with proteins whose absence renders cells more sensitive to NiSO4.
MIPS Functional Category
In Category from Cluster
# Nickel Toxicity Modulating
Total in Category
homeostasis of proteins [34.01.01.03]
VMA2 CUP5 RAV1 VMA6 STV1 VPH1
cation transport (H+, Na+, K+, Ca2+, NH4+, etc.) [20.01.01.01]
VMA2 CUP5 TOK1 MNR2 VMA6 STV1 VPH1
siderophone-iron transport [20.01.01.01.01.01]
FTH1 AFT1 FET3
homeostasis of metal ions (Na, K, Ca etc.) [34.01.01.01]
FTH1 CUP5 AFT1 TOK1 MNR2 MAC1 FET3
transport ATPases [20.03.22]
VMA2 CUP5 VMA6 STV1 VPH1
metabolism of secondary products derived from L-lysine, L-arginine and L-histidine [01.20.31]
FTH1 RVS161 CUP5 YPK1 WHI2
Homeostasis of protons, cation transport, transport ATPases, and endocytosis
As is expected for cells treated with agents that are actively internalized by the cell a number of deletion strains of proteins involved in endocytosis exhibited sensitivity to NiSO4 (Fth1, Rvs161, Cup5, Ypk1, Whi2) (Table 1). Proteins in the proton homeostasis, cation transport, and transport ATPases MIPS functional categories include subunits of the vacuolar-ATPase, Vma2p, Cup5p, Vma6p, Stv1p, and Vph1p (Table 1). Vacuolar ATPases (V-ATPases) are multi-subunit ATP-dependent proton pumps that play an important role in the pH homeostasis of various intracellular compartments and allow cellular processes such as autophagy, endocytosis and intracellular transport to take place. It is not surprising that gene deletion of proteins that function in vacuolar processes renders cells more sensitive to nickel compounds since genes involved in vacuolar organization and biogenesis have been shown essential for the cell's viability in response to metal exposure [30–32]. The vacuolar pH gradient-driven system allows the penetration of nickel ions into vacuoles and the formation of histidine-nickel ion complexes sequester excess amounts of nickel ions into vacuoles [31, 33, 34]. Sequestering metals into vacuoles may be a fundamental process for S. cerevisiae in mediating resistance to metal toxicity.
Siderophore-iron transport and homeostasis of metal ions
The siderophore-iron transport MIPS functional category includes Fth1p, a putative high affinity iron transporter, Aft1p, a transcription factor involved in activating the expression of target genes in response to cellular changes in iron availability, and Fet3p, required for high affinity iron uptake (Table 1). Nickel compounds have been shown to interfere with iron uptake, deplete cellular iron levels, and interfere with the function of enzymes that require iron for their enzymatic activity [16, 26]. Toxic metal-induced iron depletion may be a common feature of many toxic metals . Because nickel ions, structurally or chemically, resemble essential metal ions such as zinc, copper, iron, and manganese, Ni+2 could compete with and displace these metal ions from the cell . Therefore, the sensitivity to nickel exhibited by deletion strains of proteins involved in metal ion homeostasis, such as, the putative magnesium transporter Mnr2p and the Mac1 protein, a transcription factor involved in regulation of genes required for high affinity copper transport, is not surprising (Table 1).
Metabolism of secondary products derived from L-lysine, L-arginine, and L-histidine
Protein interactome analysis with proteins whose absence renders cells sensitive to NiSO4
The first nickel toxicity modulating network identified includes the interaction between Rav1 (Yjr033C), a subunit of the RAVE complex, that promotes assembly of the V-ATPase holoenzyme (Vma2, Vph1, Stv1, Vma6) (figure 2a). Vma6 interacts with Ypr078C, a protein with a possible role in DNA metabolism and/or in genome stability, Mrpl36, a mitochondrial ribosomal protein, and Rrd2, an activator of the phosphotyrosyl phosphatase activity of Pp2a, a peptidyl-prolyl cis/trans-isomerase that regulates G1 phase progression, the osmoresponse, and microtubule dynamics. Rrd2 also interacts with Lsm1, a protein involved in the degradation of cytoplasmic mRNAs. Also associated with the activation of the stress response is Whi2p. A nickel toxicity modulating network was identified between Whi2p and Csr2, a nuclear protein proposed to regulate utilization of nonfermentable carbon sources and endocytosis of plasma membrane proteins (figure 2c).
Deletion strains of Apl6p and Apm3p, subunits of the yeast alkaline phosphatase pathway (AP-3 complex) that functions in protein transport from the Golgi directly to the vacuole without proceeding through an endosome intermediate, exhibited nickel-sensitivity (figure 2b). Deletion strains of components of the AP-3 complex have been shown to be specifically associated with cellular sensitivity to nickel . It is unclear why gene deletion of components of the alkaline phosphatase pathway renders cells sensitive to nickel while deletion of components of other transport pathways to the vacuole results in nickel-resistance (discussed below).
Functional categories overrepresented with proteins whose absence renders cells more resistant to NiSO4.
MIPS Functional Category
In Category from Cluster
# Nickel Toxoicity Modulating
Total in Category
vacuolar/lysosomal transport [20.09.13]
VPS8 BSD2 STP22 VPS64 PEP7 VPS3 VPS29 VPS35 VPS25 SNF7 VTA1 VPS38 VPS36 VPS20 VPS75 VPS27 TLG2 VMA4 VTS1 SNF8 VPS28 BRO1 VPS30
protein targeting, sorting and translocation [14.04]
VPS8 SEC66 BSD2 STP22 VPS64 PEP7 VPS3 GOS1 VPS29 PEP8 VPS35 VPS25 SNF7 VPS38 VPS36 VPS75 VPS27 TLG2 RTG1 VPS5 VPS17 SNX3 VTS1 SNF8 VPS28 VPS30 TRE1
intra Golgi transport [20.09.07.05]
GOS1 PEP8 VPS35 VPS36 VPS27 VPS5
regulation of C-compound and carbohydrate metabolishm [01.05.25]
TPS1 REG1 NGG1 SSN2 RTG2 VPS25 SNF7 VPS36 RTG1 SNF8
vacuole or lysosome[42.25|
KCS1 DOA4 VTC1 VPS29 TLG2 VAM10
transcription, repression [11.02.03.04.03]
RIM101 VPS25 VPS36 SFL1 SNF8
chromosome segregation/division [10.03.04.05]
IML3 CHL4 MCM21 NNF2 CTF19
vesicular transport (Golgi network, etc.) [20.09.07]
PMR1 VPS29 VPS17 VPS30 APL5
A nickel toxicity modulating network was identified between Ura7p and Swm1p (figure 2e) and the interaction between Ctk1p and Sse2p (figure 2f). Ura7p is involved in the final step in the de novo biosynthesis of pyrimidines and Swmp1 is a subunit of the anaphase-promoting complex, an E3 ubiquitin ligase that regulates the metaphase-anaphase transition and exit from mitosis. Ctk1p is the catalytic alpha subunit of the C-terminal domain Kinase I (CTDK-1) involved in transcription and pre-MNA 3'end processing, and translational fidelity and Sse2p is a member of the heat shock protein 70 (hsp70) family.
The last nickel toxicity modulating network is the interaction between Hpr1 and Mft1 (figure 2g), components of the evolutionarily conserved THO nuclear complex, present in a larger complex, termed, TREX, and with components of the nuclear export machinery [44–48]. The THO/TREX complex is functionally involved in mRNP biogenesis and transport, required for transcriptional elongation, and is a key player in the coupling of transcription and RNA export [44–48]. Our finding that members of the THO complex play a role in the toxicity of yeast cells to NiSO4 is supported by a recent finding that described the sensitivity of deletion strains of proteins involved in nucleocytoplasmic transport (including pore complex formation, and functionality) to both nickel and cadmium . The deletion strain of Mft1, a subunit of the THO nuclear complex, was identified as the most sensitive strain to nickel in our secondary validation screen and the deletion strain of Hpr1 was identified as the sixteenth most sensitive strain (Additional file 2). The exact role that the nucleocytoplasmic transport process, more specifically the THO complex, plays in nickel toxicity still needs to studied.
Functional categories overrepresented and nickel resistance networks identified with proteins whose absence renders cells resistant to NiSO4
Functional categories overrepresented with proteins whose absence renders cells resistant to nickel were identified using FunSpec (Table 2).
Vacuolar/lysosomal transport and function
Targeting, sorting, translocation of proteins and intra-Golgi transport
The gene product of deletion strains resistant to nickel also included proteins targeted, sorted and translocated to the Golgi (Table 2). For example, the Vps29, Vps35, Vps5, Vps17 and Pep8 multimeric membrane-associated retromer complex essential for endosome-to-Golgi retrograde protein transport was identified as one of the nickel resistance networks (figure 3e). Also involved in endosome-to-Golgi protein transport is Snx3p, a sorting nexin, Vps27, an endosomal protein required for recycling Golgi proteins, components of t-SNARE (Tlg2p), v-SNARE (Vts1p and Gos1p) and Pmr1, a high affinity Ca2+/Mn2+ P-type ATPase required for Ca2+ and Mn2+ transport into the Golgi (Table 2). The deletion strain of Pep7p, essential for targeting of vesicles to the endosome and required for vacuole inheritance (Golgi to vacuole transport), components of the CORVET complex (Vps8p and Vps3p), required for localization and trafficking of the CPY sorting receptor from late endosome to vacuole, and Vps38, that functions in carboxypeptidase Y (CPY) sorting were also found resistant to nickel (Table 3). The last nickel resistance network indentified is the interaction between Vps8p and Stp22p (figure 3j). Vps8 is a component of the CORVET complex required for CPY sorting receptor from late endosome to vacuole and Stp22p is a component of the ESCRT-1 complex in the MVB pathway (discussed above). The interaction between Vps8p and Stp22p further validates our results of the involvement of components of the MVB pathway and endosome to vacuole transport in mediating the toxicity S. cerevisiae cells to nickel compounds.
Transcriptional repression and regulation of C-compound and carbohydrate metabolism
The MIPS functional category, transcription repression, includes Rim101p, Vps25p, Vps36p, Sfl1p, and Snf8p. Rim101 is involved in cell wall construction and cellular response to pH changes (discussed above) (Table 2) . Vps25, Vps36, and Snf8, components of the ESCRT-II complex, are also involved in derepressing the expression of glucose repressed genes. The ESCRT-II complex subunits are the yeast orthologues of the human RNA polymerase II elongation factor ELL associated proteins (EAPs) that together with ELL form a 'holo-ELL complex' that increases the catalytic rate of transcription elongation by RNA polymerase II in vitro. The possibility that the ESCRT-II complex has acquired a nuclear function in mammalian cells and lost its importance in membrane trafficking has been postulated since it's believed that these subunits might be dispensable for MVB sorting in mammals [56, 57]. Also resistant in our screen is the Sfl1 transcriptional repressor and activator of stress response genes as well as the nickel resistance interaction network involved in transcriptional regulation between Ynl288Wp, Srb9p, and Sfl1p and the interaction between Reg1p and Tps1p involved in carbohydrate metabolism and stress response (figure 3c and figure 3i).
Chromosome segregation and division
Interestingly, components of the chromosome segregation/division MIPS functional category were found overrepresented in our list of nickel-resistant strains (Table 2, figure 3a). These include: Ydr455Cp, Mcm21p, Mcm19p, Chl4p, and Ctf19p, subunits of the outer kinetochore required for choromosome stability that provide a link between centromere DNA binding proteins of the inner kinetochore and microtubule-binding proteins. To the best of our knowledge, the subunits of the outer kinetochore have not been previously linked to nickel toxicity. Additionally, a nickel resistance network was found between Ygr089W, involved in chromosome segregation, and Yel043W, a cytoskeletal protein (figure 3f).
Other nickel resistance networks identified include the interaction between Ynl056W, Ynl099C, Siw14, and Ycr095C, that plays a role in cell cycle arrest in response to oxidative DNA damage (figure 3d), and the interaction between Dal81, a positive regulator of genes in multiple nitrogen degradation pathways, and Yhr011W, a probable mitochondrial seryl-tRNA synthetase (figure 3h).
Functional categories overrepresented with proteins that have a similar human protein whose gene deletion renders cells sensitive or resistant to NiSO4
We further restricted our list of proteins whose absence renders cells sensitive or resistant to nickel to only those proteins that have a similar protein in human cells. A protein in human cells similar in amino acid sequence to the yeast protein was identified for 68% of the proteins whose gene deletion cause sensitivity or resistance to NiSO4. Note that only the top scoring human protein was used. This analysis identified 111 nickel-sensitive and 72 resistant strains. To further study the degree of sensitivity or resistance of each deletion strain in our phenotypic screen, the IC50 for each deletion strain was analyzed in a secondary validation screen and the target strains were arranged based on their degree of sensitivity to NiSO4. Sensitivity increased with decreasing IC50 and resistance increased with increased IC50. A list of proteins corresponding to the nickel sensitive and resistant strains identified in our screen including yeast systematic number, symbol, function, similar human protein and IC50 is included in Additional file 2.
Functional categories overrepresented in the list of nickel-sensitive and resistant deletion strains whose gene deletion product has a similar human protein are provided in Additional files 3 and 4. The five nickel toxicity modulating and four nickel-resistance networks are included in Additional files 5 and 6. The cell cycle MIPS functional category emerged as a category not previously identified in our initial analysis of yeast proteins with and without similar human proteins (Table 1). This category includes the Pin4, Far7, and Far10 proteins (Additional file 3). Pin4p, containing an RNA recognition motif, is involved in normal G2/M cell cycle progression and is hyperphosphorylated in response to DNA damage . Its human homologue, the cleavage stimulation factor 64 kDa subunit, tau variant, is also an RNA-binding protein phosphorylated upon DNA damage [59, 60]. Far7p and Far10p interact and have been shown to be involved in G1 cell cycle arrest in response to pheromone . The human homologue of Far7, tpr, is involved in protein import into the nucleus and is also phosphorylated upon DNA damage [60, 62]. The human homologue of Far10, the Centromere protein F (CENP-F), is involved in chromosome segregation during mitosis; CENP-F is hyperphosphorylated during mitosis and upon DNA damage, and gradually accumulated during the cell cycle [60, 63]. In general, checkpoints control the ability of cells to arrest in a specific phase of the cell cycle in response to DNA damage or other stresses, and allow the cell enough time to recruit and activate repair machineries, and to repair the damage before passing to the next cell cycle phase. Although Ni (II) is a weak DNA-damaging agent, it has been shown to interfere with nucleotide and base excision repair at low noncytotoxic concentrations . Additionaly, nickel-induced effects on the cell cycle have been previously reported [64–66]. Analysis of the cell-cycle effect of a 24 h exposure to 1 mM NiCl2 in A549 cells indicated a loss in the amount of cells in S phase and a corresponding increase in the percentage of cells in G1 but no significant change in cells in G2/M [65, 66]. Because impairment of protective mechanisms by nickel compounds and other toxic metals may lead to increased toxicity and increased risk of carcinogenesis, future investigations should focus on the mechanism(s) by which nickel induces G1 cell cycle arrest, for example, by inducing DNA damage or by inhibiting DNA damage repair activity, or by both. As S. cerevisiae has proven to be an excellent model organism, and one in which parallel processes with homologous gene products can be determined in mammalian cells, future studies will examine the role that these human homologues may play in regulating toxicity to nickel in human cells. Additionally, we will examine if the pathways found overrepresented with those proteins whose absence renders cells more sensitive or resistant to nickel are also affected in human cells in response to nickel exposure.
Genomic phenotypic screens have been useful in the past to determine the role of nonessential proteins in modulating toxicity after exposure to an environmental agent [1, 5–10]. Here, we have screened a library of S. cerevisiae single-gene deletion mutant strains corresponding to the complete set of 4733 nonessential yeast genes with NiSO4 to identify those strains most sensitive or resistant to nickel. We have identified 149 genes whose gene deletion causes sensitivity to NiSO4 and 119 genes whose gene deletion confers resistance. Pathway analysis with the list of proteins whose gene deletion causes sensitivity and resistance to nickel identified a wide range of cellular processes engaged in the toxicity of S. cerevisiae to NiSO4. Functional categories overrepresented with proteins whose absence renders cells sensitive to NiSO4 include homeostasis of protons, cation transport, transport ATPases, endocytosis, siderophore-iron transport, homeostasis of metal ions, and the diphthamide biosynthesis pathway. Functional categories overrepresented with proteins whose absence renders cells resistant to nickel include functioning and transport of the vacuole and lysosome, protein targeting, sorting, and translocation, intra-Golgi transport, regulation of C-compound and carbohydrate metabolism, transcriptional repression, and chromosome segregation/division. Seven nickel toxicity modulating networks and ten nickel resistance networks were identified. The biological function of the nickel toxicity modulating networks and resistance networks also highlight the pathways described above as well as identify components of the alkaline phosphatase pathway and THO nuclear complex as mediating sensitivity to nickel. Additionally, we studied the degree of sensitivity or resistance to nickel of the 111 nickel-sensitive and 72 resistant strains whose gene deletion product has a similar protein in human cells.
Several genome-wide phenotypic screens have examined the toxicity of S. cerevisiae to metal compounds [30, 32, 55, 67, 68]. To date, one study has reported data from a genomic phenotypic screen using NiCl2 and another study screened a S. cerevisiae library with NiCl2 and measured the intracellular Ni ion levels of each deletion strain in the library [32, 55]. We found that 15% of our sensitive strains and 31% of our resistant strains overlapped with those identified by Ruotolo et al. and 9% of our sensitive and 13% of our resistant strains overlapped with those identified by Eide et al. [32, 55]. The small overlap found between our study and that of Ruotolo et al. and Eide et al. could be due to the differences in the background of the strains used as well as the fact that while our phenotypic screen was carried out using NiSO4, both these screens were carried out using NiCl2. Also worthy of note is that while our phenotypic study screened for growth advantage and disadvantage under NiSO4 exposure the Eide et al. identified gene deletion strains whose intracellular Ni ion levels differed from the parental strain but whose growth may or may not have been affected by nickel exposure. In the past the overlap between data of two different phenotypic screens has been between 10-20% since screens are usually carried out in dissimilar conditions and the sensitivity or resistance of strains to a specific agent may be determined differently . Apart from the small overlap in strains found between our study and that of Routolo et al., many of the same pathways were found overrepresented in both studies. Ruotolo et al. also reported a sensitivity to nickel exhibited by deletion strains whose gene product is involved in the V-ATPase and endocytosis, Golgi-to-vacuole transport, nucleocytoplasmic transport, and the alkaline phosphatase pathway and a resistance to nickel by strains whose gene product is involved in the MVB pathway, endosome transport, and endosome-to-Golgi transport retrograde transport .
Data from phenotypic screens with metals has identified several common pathways that modulate metal tolerance in S. cerevisiae. As is the case with nickel, deletion strains of V-ATPase subunits and vacuolar transport and function have been found sensitive to cadmium, mercury, arsenite, cobalt, zinc, and iron . The vacuole appears to be a hot spot for metal toxicity since vacuolar transport allows metal sequestration in the vacuole preventing damage to the cell and may be important for processing and trafficking of response proteins and removing damaged proteins. Nucleocytoplasmic transport, iron transport, and Golgi-to-vacuole transport may also be hot spots for metal toxicity since deletion strains of proteins involved in these pathways were also found sensitive to cadmium . Chelating metals, sequestering metals into vacuoles, and reducing cellular stress are fundamental processes for mediating resistance to metals by S. cerevisiae.
Metal-specific responses in mediating toxicity of S. cerevisiae to an exogenous agent have also been reported [30, 32, 55, 67, 68]. For example, mutants sensitive to nickel are significantly enriched in stress-related transcription regulation, tubulin folding, signal transduction, the secretory pathway and response to stimulus while mutants sensitive to cadmium are enriched in cell surface receptor linked signal transduction, morphogenesis, chromatin modification, glutathione biosynthesis and DNA damage . A metal-specific response identified in both our study and that of Ruotolo et al. is the resistance of deletion strains of components of the MVB pathway (ESCRT complexes) to nickel. It is unclear at the moment why deletion of components of the ESCRT complex render cells resistant to nickel but sensitive to other metals such as cobalt and cadmium . Another nickel-specific response identified in both the Ruotolo et al. study and our study is the sensitivity of deletion strains of components of the alkaline phosphatase pathway. It is also unknown why deletion of components of the alkaline phosphatase pathway renders cells sensitive to nickel while deletion of components of other transport pathways to the vacuole results in nickel-resistance. However, our most interesting findings are the increased sensitivity of deletion strains of components of the diphthamide biosynthesis pathway to nickel and the resistance of deletion strains of proteins involved in chromosome segregation and division. The results of this study suggest a possible role of the evolutionarily conserved diphthamide biosynthesis pathway as well as components of the outer kinetochore involved in chromosome segregation in mediating nickel toxicity in S. cerevisiae.
We have undertaken a whole genome approach in order to further understand the mechanism(s) regulating the cell's toxicity to nickel compounds and have used computational methods to integrate the data and generate global models of the yeast's cellular response to NiSO4. Future studies will focus on determining if the gene product of the nickel sensitive and resistant strains regulates the level of nickel ions within the cell. We would also like to determine if the same pathways identified in mediating toxicity of S. cerevisiae to nickel also play a role in regulating the toxicity of human cells to nickel compounds.
S. cerevisiae genomic phenotypic screen with NiSO4
Genomic phenotyping with the S. cerevisiae strain BY4741 and single-gene deletion mutant derivatives corresponding to the nonessential yeast genes was performed as previously described [1, 5]. Briefly, 96-well master plates containing individual deletion strains were grown in 150 μl of YPD (10 g yeast extract, 20 g peptone, 20 g dextrose, 20 g agar/liter), containing G418 at 200 μg/ml. Settled cells in each position of the 96-well plate were resuspended with 60 μl bursts of forced air from a Hydra liquid handling apparatus (Robbins Scientific), and then using the Hydra, 1 μl samples were spotted simultaneously onto an agar-containing plate. NiSO4 was purchased from Sigma. Plates containing up to 96 strains were tested under the following conditions: no treatment, 0.75 mM (low concentration) and 1.25 mM (high concentration) NiSO4. Strains were grown for 60 hrs at 30°C and then imaged with AlphaImager software (Alpha Innotech Corporation, San Leandro, CA). The screen was performed in triplicate with fresh liquid cultures. Sensitive and resistant strains were identified by visual inspection of the images. Strains were labeled sensitive to NiSO4 if nickel treatment inhibited its growth. Strains were labeled resistant if nickel treatment did not inhibit its growth. The single gene deletion of random strains was verified using a standard genomic DNA PCR protocol with primers flanking 100 bp upstream of the transcriptional start site and 100 bp downstream of the stop site of the specific gene knocked out. This confirmed that strains in the library contain a single gene deletion knockout and had not been contaminated with other strains.
A secondary screen of those strains identified in the primary screen whose gene deletion product have a protein in human cells similar in amino acid sequence was performed by calculating the Inhibitory Concentration (IC50) of each individual deletion strain to NiSO4 using the Graph Pad Prism 5 software. Briefly, 96 well plates containing individual deletion strains were grown in 200 μl of YPD media containing G418 at 200 μg/ml and increasing doses of NiSO4. The concentrations of NiSO4 used in the secondary screen were: no treatment, 0.375 mM, 0.75 mM, 1.0 mM, 1.25 mM, and 2.5 mM NiSO4. The cultures were incubated at 30°C for 20 h. Growth of each strain after treatment was monitored by measuring the cell density at 590 nM using the Perkin Elmer HTS 7000 Bio Assay Reader. The IC50 is defined as the concentration of NiSO4 that inhibits 50% of the growth of each individual strain compared to the growth of that strain under no treatment. Similar proteins between S. cerevisiae and humans were identified using the BLAST program available from the National Center for Biotechnology Information . The S. cerevisiae protein sequence was used to query the translated nucleotide database specific to humans. Note only the top scoring human protein was used.
The program FunSpec was used to identify those functional categories overrepresented with our list of proteins whose absence renders cells sensitive or resistant to nickel. Our list of the gene deletion products sensitive and resistant to nickel were input into FunSpec, and FunSpec, based on prior knowledge, integrates the data and provided a summary of the MIPS functional categories overrepresented in the list . The p-values in FunSpec represent the probability that the intersection of a given list with any functional category occurs by chance. Interactome analysis was done using the program Cytoscape. S. cerevisiae protein interaction information was downloaded from the Database of Interacting Proteins (DIP). Protein-DNA interactions were derived from a previously published study . Protein-protein interaction information was imported into Cytoscape for network visualization and subnetwork filtering. Filtering was performed by highlighting Ni-toxicity modulating proteins and their associated protein-protein and protein-DNA interactions [73–75].
This work was supported by grant numbers, ES014454, ES005512, ES000260 from the National Institutes of Environmental Health Sciences, and grant number CA16087 and CA090658 from the National Cancer Institute.
- Begley TJ, Rosenbach AS, Ideker T, Samson LD: Hot spots for modulating toxicity identified by genomic phenotyping and localization mapping. Mol Cell. 2004, 16 (1): 117-125. 10.1016/j.molcel.2004.09.005.View ArticlePubMedGoogle Scholar
- Goffeau A, Barrell BG, Bussey H, Davis RW, Dujon B, Feldmann H, Galibert F, Hoheisel JD, Jacq C, Johnston M, et al: Life with 6000 genes. Science. 1996, 274 (5287): 563-547. 10.1126/science.274.5287.546.View ArticleGoogle Scholar
- Johnston M: The yeast genome: on the road to the Golden Age. Curr Opin Genet Dev. 2000, 10 (6): 617-623. 10.1016/S0959-437X(00)00145-3.View ArticlePubMedGoogle Scholar
- Winzeler EA, Shoemaker DD, Astromoff A, Liang H, Anderson K, Andre B, Bangham R, Benito R, Boeke JD, Bussey H, et al: Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis. Science. 1999, 285 (5429): 901-906. 10.1126/science.285.5429.901.View ArticlePubMedGoogle Scholar
- Begley TJ, Rosenbach AS, Ideker T, Samson LD: Damage recovery pathways in Saccharomyces cerevisiae revealed by genomic phenotyping and interactome mapping. Mol Cancer Res. 2002, 1 (2): 103-112.PubMedGoogle Scholar
- Bennett CB, Lewis LK, Karthikeyan G, Lobachev KS, Jin YH, Sterling JF, Snipe JR, Resnick MA: Genes required for ionizing radiation resistance in yeast. Nat Genet. 2001, 29 (4): 426-434. 10.1038/ng778.View ArticlePubMedGoogle Scholar
- Birrell GW, Giaever G, Chu AM, Davis RW, Brown JM: A genome-wide screen in Saccharomyces cerevisiae for genes affecting UV radiation sensitivity. Proc Natl Acad Sci USA. 2001, 98 (22): 12608-12613. 10.1073/pnas.231366398.PubMed CentralView ArticlePubMedGoogle Scholar
- Game JC, Birrell GW, Brown JA, Shibata T, Baccari C, Chu AM, Williamson MS, Brown JM: Use of a genome-wide approach to identify new genes that control resistance of Saccharomyces cerevisiae to ionizing radiation. Radiat Res. 2003, 160 (1): 14-24. 10.1667/RR3019.View ArticlePubMedGoogle Scholar
- Stepchenkova EI, Kozmin SG, Alenin VV, Pavlov YI: Genome-wide screening for genes whose deletions confer sensitivity to mutagenic purine base analogs in yeast. BMC Genet. 2005, 6 (1): 31-10.1186/1471-2156-6-31.PubMed CentralView ArticlePubMedGoogle Scholar
- Wu HI, Brown JA, Dorie MJ, Lazzeroni L, Brown JM: Genome-wide identification of genes conferring resistance to the anticancer agents cisplatin, oxaliplatin, and mitomycin C. Cancer Res. 2004, 64 (11): 3940-3948. 10.1158/0008-5472.CAN-03-3113.View ArticlePubMedGoogle Scholar
- Salnikow K, Zhitkovich A: Genetic and epigenetic mechanisms in metal carcinogenesis and cocarcinogenesis: nickel, arsenic, and chromium. Chem Res Toxicol. 2008, 21 (1): 28-44. 10.1021/tx700198a.PubMed CentralView ArticlePubMedGoogle Scholar
- Doll R, Morgan LG, Speizer FE: Cancers of the lung and nasal sinuses in nickel workers. Br J Cancer. 1970, 24 (4): 623-632.PubMed CentralView ArticlePubMedGoogle Scholar
- Kerckaert GA, LeBoeuf RA, Isfort RJ: Use of the Syrian hamster embryo cell transformation assay for determining the carcinogenic potential of heavy metal compounds. Fundam Appl Toxicol. 1996, 34 (1): 67-72. 10.1006/faat.1996.0176.View ArticlePubMedGoogle Scholar
- Kuper CF, Woutersen RA, Slootweg PJ, Feron VJ: Carcinogenic response of the nasal cavity to inhaled chemical mixtures. Mutat Res. 1997, 380 (1-2): 19-26.View ArticlePubMedGoogle Scholar
- Miller AC, Mog S, McKinney L, Luo L, Allen J, Xu J, Page N: Neoplastic transformation of human osteoblast cells to the tumorigenic phenotype by heavy metal-tungsten alloy particles: induction of genotoxic effects. Carcinogenesis. 2001, 22 (1): 115-125. 10.1093/carcin/22.1.115.View ArticlePubMedGoogle Scholar
- Davidson TL, Chen H, Di Toro DM, D'Angelo G, Costa M: Soluble nickel inhibits HIF-prolyl-hydroxylases creating persistent hypoxic signaling in A549 cells. Mol Carcinog. 2006, 45 (7): 479-489. 10.1002/mc.20176.View ArticlePubMedGoogle Scholar
- Broday L, Peng W, Kuo MH, Salnikow K, Zoroddu M, Costa M: Nickel compounds are novel inhibitors of histone H4 acetylation. Cancer Res. 2000, 60 (2): 238-241.PubMedGoogle Scholar
- Chen H, Ke Q, Kluz T, Yan Y, Costa M: Nickel ions increase histone H3 lysine 9 dimethylation and induce transgene silencing. Mol Cell Biol. 2006, 26 (10): 3728-3737. 10.1128/MCB.26.10.3728-3737.2006.PubMed CentralView ArticlePubMedGoogle Scholar
- Golebiowski F, Kasprzak KS: Inhibition of core histones acetylation by carcinogenic nickel(II). Mol Cell Biochem. 2005, 279 (1-2): 133-139. 10.1007/s11010-005-8285-1.View ArticlePubMedGoogle Scholar
- Kowara R, Karaczyn A, Cheng RY, Salnikow K, Kasprzak KS: Microarray analysis of altered gene expression in murine fibroblasts transformed by nickel(II) to nickel(II)-resistant malignant phenotype. Toxicol Appl Pharmacol. 2005, 205 (1): 1-10. 10.1016/j.taap.2004.10.006.View ArticlePubMedGoogle Scholar
- Karaczyn AA, Golebiowski F, Kasprzak KS: Ni(II) affects ubiquitination of core histones H2B and H2A. Exp Cell Res. 2006, 312 (17): 3252-3259. 10.1016/j.yexcr.2006.06.025.View ArticlePubMedGoogle Scholar
- Ke Q, Davidson T, Chen H, Kluz T, Costa M: Alterations of histone modifications and transgene silencing by nickel chloride. Carcinogenesis. 2006, 27 (7): 1481-1488. 10.1093/carcin/bgl004.View ArticlePubMedGoogle Scholar
- Klein CB, Conway K, Wang XW, Bhamra RK, Lin XH, Cohen MD, Annab L, Barrett JC, Costa M: Senescence of nickel-transformed cells by an X chromosome: possible epigenetic control. Science. 1991, 251 (4995): 796-799. 10.1126/science.1990442.View ArticlePubMedGoogle Scholar
- Klein CB, Costa M: DNA methylation, heterochromatin and epigenetic carcinogens. Mutat Res. 1997, 386 (2): 163-180. 10.1016/S1383-5742(96)00052-X.View ArticlePubMedGoogle Scholar
- Lee YW, Klein CB, Kargacin B, Salnikow K, Kitahara J, Dowjat K, Zhitkovich A, Christie NT, Costa M: Carcinogenic nickel silences gene expression by chromatin condensation and DNA methylation: a new model for epigenetic carcinogens. Mol Cell Biol. 1995, 15 (5): 2547-2557.PubMed CentralView ArticlePubMedGoogle Scholar
- Ellen TP, Kluz T, Harder ME, Xiong J, Costa M: Heterochromatinization as a potential mechanism of nickel-induced carcinogenesis. Biochemistry. 2009, 48 (21): 4626-4632. 10.1021/bi900246h.PubMed CentralView ArticlePubMedGoogle Scholar
- Chen H, Davidson T, Singleton S, Garrick MD, Costa M: Nickel decreases cellular iron level and converts cytosolic aconitase to iron-regulatory protein 1 in A549 cells. Toxicol Appl Pharmacol. 2005, 206 (3): 275-287. 10.1016/j.taap.2004.11.011.View ArticlePubMedGoogle Scholar
- Costa M, Davidson TL, Chen H, Ke Q, Zhang P, Yan Y, Huang C, Kluz T: Nickel carcinogenesis: epigenetics and hypoxia signaling. Mutat Res. 2005, 592 (1-2): 79-88.View ArticlePubMedGoogle Scholar
- Lu H, Shi X, Costa M, Huang C: Carcinogenic effect of nickel compounds. Mol Cell Biochem. 2005, 279 (1-2): 45-67. 10.1007/s11010-005-8215-2.View ArticlePubMedGoogle Scholar
- Jin YH, Dunlap PE, McBride SJ, Al-Refai H, Bushel PR, Freedman JH: Global transcriptome and deletome profiles of yeast exposed to transition metals. PLoS Genet. 2008, 4 (4): e1000053-10.1371/journal.pgen.1000053.PubMed CentralView ArticlePubMedGoogle Scholar
- Nishimura K, Igarashi K, Kakinuma Y: Proton gradient-driven nickel uptake by vacuolar membrane vesicles of Saccharomyces cerevisiae. J Bacteriol. 1998, 180 (7): 1962-1964.PubMed CentralPubMedGoogle Scholar
- Ruotolo R, Marchini G, Ottonello S: Membrane transporters and protein traffic networks differentially affecting metal tolerance: a genomic phenotyping study in yeast. Genome Biol. 2008, 9 (4): R67-10.1186/gb-2008-9-4-r67.PubMed CentralView ArticlePubMedGoogle Scholar
- Joho M, Ikegami M, Inohue H, Tohoyama T, Murayama T: Nickel sensitivity of vacuolar membrane ATPase in a nickel resistant strain of Saccharomyces cerevisiae. Biomed Lett. 1993, 48: 115-120.Google Scholar
- Joho MIY, Kunikane M, Inohue H, Tohoyama T: The subcellular distribution of nickel ion in nickel-sensitive and ni-resistant strains of Saccharomyces cerevisiae. Microbios. 1992, 71: 149-159.PubMedGoogle Scholar
- Liu S, Milne GT, Kuremsky JG, Fink GR, Leppla SH: Identification of the proteins required for biosynthesis of diphthamide, the target of bacterial ADP-ribosylating toxins on translation elongation factor 2. Mol Cell Biol. 2004, 24 (21): 9487-9497. 10.1128/MCB.24.21.9487-9497.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Jorgensen R, Merrill AR, Yates SP, Marquez VE, Schwan AL, Boesen T, Andersen GR: Exotoxin A-eEF2 complex structure indicates ADP ribosylation by ribosome mimicry. Nature. 2005, 436 (7053): 979-984. 10.1038/nature03871.View ArticlePubMedGoogle Scholar
- Sahi C, Craig EA: Network of general and specialty J protein chaperones of the yeast cytosol. Proc Natl Acad Sci USA. 2007, 104 (17): 7163-7168. 10.1073/pnas.0702357104.PubMed CentralView ArticlePubMedGoogle Scholar
- Honore B, Rasmussen HH, Celis A, Leffers H, Madsen P, Celis JE: The molecular chaperones HSP28, GRP78, endoplasmin, and calnexin exhibit strikingly different levels in quiescent keratinocytes as compared to their proliferating normal and transformed counterparts: cDNA cloning and expression of calnexin. Electrophoresis. 1994, 15 (3-4): 482-490. 10.1002/elps.1150150166.View ArticlePubMedGoogle Scholar
- Verma R, Ramnath J, Clemens F, Kaspin LC, Landolph JR: Molecular biology of nickel carcinogenesis: identification of differentially expressed genes in morphologically transformed C3H10T1/2 Cl 8 mouse embryo fibroblast cell lines induced by specific insoluble nickel compounds. Mol Cell Biochem. 2004, 255 (1-2): 203-216. 10.1023/B:MCBI.0000007276.94488.3d.View ArticlePubMedGoogle Scholar
- Kuchin S, Vyas VK, Carlson M: Snf1 protein kinase and the repressors Nrg1 and Nrg2 regulate FLO11, haploid invasive growth, and diploid pseudohyphal differentiation. Mol Cell Biol. 2002, 22 (12): 3994-4000. 10.1128/MCB.22.12.3994-4000.2002.PubMed CentralView ArticlePubMedGoogle Scholar
- Lamb TM, Mitchell AP: The transcription factor Rim101p governs ion tolerance and cell differentiation by direct repression of the regulatory genes NRG1 and SMP1 in Saccharomyces cerevisiae. Mol Cell Biol. 2003, 23 (2): 677-686. 10.1128/MCB.23.2.677-686.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Park SH, Koh SS, Chun JH, Hwang HJ, Kang HS: Nrg1 is a transcriptional repressor for glucose repression of STA1 gene expression in Saccharomyces cerevisiae. Mol Cell Biol. 1999, 19 (3): 2044-2050.PubMed CentralView ArticlePubMedGoogle Scholar
- Zhou H, Winston F: NRG1 is required for glucose repression of the SUC2 and GAL genes of Saccharomyces cerevisiae. BMC Genet. 2001, 2: 5-10.1186/1471-2156-2-5.PubMed CentralView ArticlePubMedGoogle Scholar
- Mason PB, Struhl K: Distinction and relationship between elongation rate and processivity of RNA polymerase II in vivo. Mol Cell. 2005, 17 (6): 831-840. 10.1016/j.molcel.2005.02.017.View ArticlePubMedGoogle Scholar
- Rondon AG, Jimeno S, Garcia-Rubio M, Aguilera A: Molecular evidence that the eukaryotic THO/TREX complex is required for efficient transcription elongation. J Biol Chem. 2003, 278 (40): 39037-39043. 10.1074/jbc.M305718200.View ArticlePubMedGoogle Scholar
- Chavez STB, Rondon AG, Erdjument-Bromage H, Tempst P, Svejstrup JQ, Lithgow T, Aguilera A: A protein complex containing Tho2, Hpr1, Mft1 and a novel protein, Thp2, connects transcription elongation with mitotic recombination in Saccharomyces cerevisiae. EMBO J. 2000, 19: 5824-5834. 10.1093/emboj/19.21.5824.PubMed CentralView ArticlePubMedGoogle Scholar
- Strasser K, Masuda S, Mason P, Pfannstiel J, Oppizzi M, Rodriguez-Navarro S, Rondon AG, Aguilera A, Struhl K, Reed R, et al: TREX is a conserved complex coupling transcription with messenger RNA export. Nature. 2002, 417 (6886): 304-308. 10.1038/nature746.View ArticlePubMedGoogle Scholar
- Zenklusen D, Vinciguerra P, Wyss JC, Stutz F: Stable mRNP formation and export require cotranscriptional recruitment of the mRNA export factors Yra1p and Sub2p by Hpr1p. Mol Cell Biol. 2002, 22 (23): 8241-8253. 10.1128/MCB.22.23.8241-8253.2002.PubMed CentralView ArticlePubMedGoogle Scholar
- Katzmann DJ, Babst M, Emr SD: Ubiquitin-dependent sorting into the multivesicular body pathway requires the function of a conserved endosomal protein sorting complex, ESCRT-I. Cell. 2001, 106 (2): 145-155. 10.1016/S0092-8674(01)00434-2.View ArticlePubMedGoogle Scholar
- Babst M, Katzmann DJ, Snyder WB, Wendland B, Emr SD: Endosome-associated complex, ESCRT-II, recruits transport machinery for protein sorting at the multivesicular body. Dev Cell. 2002, 3 (2): 283-289. 10.1016/S1534-5807(02)00219-8.View ArticlePubMedGoogle Scholar
- Yorikawa C, Shibata H, Waguri S, Hatta K, Horii M, Katoh K, Kobayashi T, Uchiyama Y, Maki M: Human CHMP6, a myristoylated ESCRT-III protein, interacts directly with an ESCRT-II component EAP20 and regulates endosomal cargo sorting. Biochem J. 2005, 387 (Pt 1): 17-26.PubMed CentralView ArticlePubMedGoogle Scholar
- Kim J, Sitaraman S, Hierro A, Beach BM, Odorizzi G, Hurley JH: Structural basis for endosomal targeting by the Bro1 domain. Dev Cell. 2005, 8 (6): 937-947. 10.1016/j.devcel.2005.04.001.PubMed CentralView ArticlePubMedGoogle Scholar
- Luhtala N, Odorizzi G: Bro1 coordinates deubiquitination in the multivesicular body pathway by recruiting Doa4 to endosomes. J Cell Biol. 2004, 166 (5): 717-729. 10.1083/jcb.200403139.PubMed CentralView ArticlePubMedGoogle Scholar
- Molsted S, Heaf J, Prescott L, Eidemak I: Reliability testing of the Danish version of the Kidney Disease Quality of Life Short Form. Scand J Urol Nephrol. 2005, 39 (6): 498-502. 10.1080/00365590500240253.View ArticlePubMedGoogle Scholar
- Eide DJ, Clark S, Nair TM, Gehl M, Gribskov M, Guerinot ML, Harper JF: Characterization of the yeast ionome: a genome-wide analysis of nutrient mineral and trace element homeostasis in Saccharomyces cerevisiae. Genome Biol. 2005, 6 (9): R77-10.1186/gb-2005-6-9-r77.PubMed CentralView ArticlePubMedGoogle Scholar
- Shilatifard A: Identification and purification of the Holo-ELL complex. Evidence for the presence of ELL-associated proteins that suppress the transcriptional inhibitory activity of ELL. J Biol Chem. 1998, 273 (18): 11212-11217. 10.1074/jbc.273.18.11212.View ArticlePubMedGoogle Scholar
- Slagsvold T, Pattni K, Malerod L, Stenmark H: Endosomal and non-endosomal functions of ESCRT proteins. Trends Cell Biol. 2006, 16 (6): 317-326. 10.1016/j.tcb.2006.04.004.View ArticlePubMedGoogle Scholar
- Pike BL, Yongkiettrakul S, Tsai MD, Heierhorst J: Mdt1, a novel Rad53 FHA1 domain-interacting protein, modulates DNA damage tolerance and G(2)/M cell cycle progression in Saccharomyces cerevisiae. Mol Cell Biol. 2004, 24 (7): 2779-2788. 10.1128/MCB.24.7.2779-2788.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Colgan DF, Manley JL: Mechanism and regulation of mRNA polyadenylation. Genes Dev. 1997, 11 (21): 2755-2766. 10.1101/gad.11.21.2755.View ArticlePubMedGoogle Scholar
- Matsuoka S, Ballif BA, Smogorzewska A, McDonald ER, Hurov KE, Luo J, Bakalarski CE, Zhao Z, Solimini N, Lerenthal Y, et al: ATM and ATR substrate analysis reveals extensive protein networks responsive to DNA damage. Science. 2007, 316 (5828): 1160-1166. 10.1126/science.1140321.View ArticlePubMedGoogle Scholar
- Kemp HA, Sprague GF: Far3 and five interacting proteins prevent premature recovery from pheromone arrest in the budding yeast Saccharomyces cerevisiae. Mol Cell Biol. 2003, 23 (5): 1750-1763. 10.1128/MCB.23.5.1750-1763.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Cordes VC, Reidenbach S, Rackwitz HR, Franke WW: Identification of protein p270/Tpr as a constitutive component of the nuclear pore complex-attached intranuclear filaments. J Cell Biol. 1997, 136 (3): 515-529. 10.1083/jcb.136.3.515.PubMed CentralView ArticlePubMedGoogle Scholar
- Liao H, Winkfein RJ, Mack G, Rattner JB, Yen TJ: CENP-F is a protein of the nuclear matrix that assembles onto kinetochores at late G2 and is rapidly degraded after mitosis. J Cell Biol. 1995, 130 (3): 507-518. 10.1083/jcb.130.3.507.View ArticlePubMedGoogle Scholar
- Hartwig A, Asmuss M, Ehleben I, Herzer U, Kostelac D, Pelzer A, Schwerdtle T, Burkle A: Interference by toxic metal ions with DNA repair processes and cell cycle control: molecular mechanisms. Environ Health Perspect. 2002, 110 (Suppl 5): 797-799.PubMed CentralView ArticlePubMedGoogle Scholar
- Ke Q, Li Q, Ellen TP, Sun H, Costa M: Nickel compounds induce phosphorylation of histone H3 at serine 10 by activating JNK-MAPK pathway. Carcinogenesis. 2008, 29 (6): 1276-1281. 10.1093/carcin/bgn084.PubMed CentralView ArticlePubMedGoogle Scholar
- Ouyang W, Zhang D, Li J, Verma UN, Costa M, Huang C: Soluble and insoluble nickel compounds exert a differential inhibitory effect on cell growth through IKKalpha-dependent cyclin D1 down-regulation. J Cell Physiol. 2009, 218 (1): 205-214. 10.1002/jcp.21590.PubMed CentralView ArticlePubMedGoogle Scholar
- Haugen AC, Kelley R, Collins JB, Tucker CJ, Deng C, Afshari CA, Brown JM, Ideker T, Van Houten B: Integrating phenotypic and expression profiles to map arsenic-response networks. Genome Biol. 2004, 5 (12): R95-10.1186/gb-2004-5-12-r95.PubMed CentralView ArticlePubMedGoogle Scholar
- Serero A, Lopes J, Nicolas A, Boiteux S: Yeast genes involved in cadmium tolerance: Identification of DNA replication as a target of cadmium toxicity. DNA Repair (Amst). 2008, 7 (8): 1262-1275. 10.1016/j.dnarep.2008.04.005.View ArticleGoogle Scholar
- Thorsen M, Perrone GG, Kristiansson E, Traini M, Ye T, Dawes IW, Nerman O, Tamas MJ: Genetic basis of arsenite and cadmium tolerance in Saccharomyces cerevisiae. BMC Genomics. 2009, 10: 105-10.1186/1471-2164-10-105.PubMed CentralView ArticlePubMedGoogle Scholar
- Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215 (3): 403-410.View ArticlePubMedGoogle Scholar
- Robinson MD, Grigull J, Mohammad N, Hughes TR: FunSpec: a web-based cluster interpreter for yeast. BMC Bioinformatics. 2002, 3: 35-10.1186/1471-2105-3-35.PubMed CentralView ArticlePubMedGoogle Scholar
- Lee TI, Rinaldi NJ, Robert F, Odom DT, Bar-Joseph Z, Gerber GK, Hannett NM, Harbison CT, Thompson CM, Simon I, et al: Transcriptional regulatory networks in Saccharomyces cerevisiae. Science. 2002, 298 (5594): 799-804. 10.1126/science.1075090.View ArticlePubMedGoogle Scholar
- Rooney JP, George AD, Patil A, Begley U, Bessette E, Zappala MR, Huang X, Conklin DS, Cunningham RP, Begley TJ: Systems based mapping demonstrates that recovery from alkylation damage requires DNA repair, RNA processing, and translation associated networks. Genomics. 2009, 93 (1): 42-51. 10.1016/j.ygeno.2008.09.001.PubMed CentralView ArticlePubMedGoogle Scholar
- Said MR, Begley TJ, Oppenheim AV, Lauffenburger DA, Samson LD: Global network analysis of phenotypic effects: protein networks and toxicity modulation in Saccharomyces cerevisiae. Proc Natl Acad Sci USA. 2004, 101 (52): 18006-18011. 10.1073/pnas.0405996101.PubMed CentralView ArticlePubMedGoogle Scholar
- Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T: Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003, 13 (11): 2498-2504. 10.1101/gr.1239303.PubMed CentralView ArticlePubMedGoogle Scholar
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