Global transcriptional response after exposure of fission yeast cells to ultraviolet light
© Skjølberg et al; licensee BioMed Central Ltd. 2009
Received: 22 April 2009
Accepted: 16 December 2009
Published: 16 December 2009
In many cell types, including the fission yeast Schizosaccharomyces pombe, a set of checkpoints are induced by perturbations of the cell cycle or by DNA damage. Many of the checkpoint responses include a substantial change of the transcriptional pattern. As part of characterising a novel G1/S checkpoint in fission yeast we have investigated whether a transcriptional response is induced after irradiation with ultraviolet light.
Microarray analyses were used to measure the global transcription levels of all open reading frames of fission yeast after 254 nm ultraviolet irradiation, which is known to induce a G1/S checkpoint. We discovered a surprisingly weak transcriptional response, which is quite unlike the marked changes detected after some other types of treatment and in several other checkpoints. Interestingly, the alterations in gene expression after ultraviolet irradiation were not similar to those observed after ionising radiation or oxidative stress. Pathway analysis suggests that there is little systematic transcriptional response to the irradiation by ultraviolet light, but a marked, coordinated transcriptional response was noted on progression of the cells from G1 to S phase.
There is little response in fission yeast to ultraviolet light at the transcriptional level. Amongst the genes induced or repressed after ultraviolet irradiation we found none that are likely to be involved in the G1/S checkpoint mechanism, suggesting that the checkpoint is not dependent upon transcriptional regulation.
Cell cycle progression is fundamental for all proliferation. Transition from one cell-cycle phase to the next is often brought about by a changed transcriptional pattern: repression of specific genes and/or expression of new genes promote progression from one phase into the next. The regulation of transcriptional patterns during the cell cycle is conserved from yeast to humans [1, 2], although the actual genes and transcriptional factors involved are not necessarily conserved. In addition to transcriptional regulation the key components of the cell cycle are also frequently regulated at the translational and the post-translational levels.
Regulation of transcription is important in the cellular response to environmental stress. Exposure to radiation, toxic chemicals, fluctuations in temperature, osmolarity or nutrient availability profoundly affect cell growth and the genomic expression programme is adjusted to adapt to the different challenges. Microarray technology has been used to characterise global gene expression profiles for several different stress conditions in the model organism Schizosaccharomyces pombe [3, 4]. A common set of genes responding to many different forms of stress has been identified in both fission and budding yeast. These genes are known as core environmental stress response genes, CESR  in S. pombe and environmental stress response genes  or the common environmental response genes  in Saccharomyces cerevisiae. In addition to this common pattern there are genes that are specifically expressed in response to each individual stress treatment.
In general, stress represents a threat to genome stability. Depending on the type of damage inflicted and the position in the cell cycle different strategies are used for handling a stress situation. Checkpoint mechanisms delay the cell cycle to allow the cells to repair DNA damage and to ensure stable inheritance of the genome. Several checkpoint pathways target the transcription machinery to ensure the appropriate expression levels of genes involved in the response to the insult. In S. pombe there are separate checkpoints that inhibit mitosis when the DNA is damaged (the G2/M checkpoint) or when S phase has not been completed (the S/M checkpoint) and that inhibits DNA replication when the DNA is damaged (the intra-S checkpoint) . These checkpoints have at least two features in common: they all operate through the five so-called checkpoint Rad proteins and they all bring about the cell-cycle delay via inhibition of the Cdc2 protein kinase, the key regulator of cell-cycle progression . In addition, they also include Rad3-dependent transcriptional responses [4, 9, 10].
In G1 phase the cell decides whether to commit to a new round of the cell cycle or to enter stationary phase or meiosis. The G1/S DNA damage checkpoint regulates the transition into S phase , and insensitivity to growth-inhibitory signals, especially in the G1 phase, is one of the hallmarks of cancer . We have recently discovered and partly characterised a novel checkpoint mechanism in S. pombe which delays S-phase entry after UVC irradiation in a Gcn2-dependent manner . In the present work we have investigated whether the response to UVC in G1 phase involves a specific transcriptional response and searched for possible genes to be involved in the G1/S checkpoint. Furthermore, we compare the genes differentially expressed after UVC irradiation with the transcriptional response to oxidative stress (H2O2) and ionising radiation (IR).
We have performed genome-wide expression analyses of UVC-irradiated G1-phase fission yeast cells to further characterise the G1/S checkpoint [13, 14]. We have investigated what kind of transcriptional response UVC irradiation imposes on the cells and searched for potential candidate genes involved in the regulatory process of the G1/S checkpoint. The cells were synchronised by employing a temperature-sensitive version of Cdc10, a transcription factor required for progression from G1 into S phase. This method gives good synchrony and allows convenient detection of the G1/S checkpoint. During a four-hour shift to 36°C the cells were arrested in G1 phase and could be released synchronously into the cell cycle or kept in G1 phase. Total RNA was isolated from both UVC-irradiated cells and unirradiated control cells. The RNA was subjected to total genomic microarray analysis.
The two experiments
Two distinct experiments were performed (see also Additional file 1): First, G1-phase cells were irradiated and kept at the restrictive temperature (hereafter called the "restrictive-temperature experiment"). Thirty minutes after the time of irradiation the UVC-irradiated (UV30) and unirradiated control (C30) cells were collected. These cells were still in early G1 phase due to the continued inactivation of Cdc10. Second, G1-cells were released into the cell cycle after synchronisation by reducing the temperature to 25°C, thus reactivating Cdc10, allowing the cells to continue in the cell cycle. Cell samples were collected at 0, 30 and 90 min after irradiation (hereafter called the "time-course experiment"). Samples of irradiated and unirradiated cells were analyzed on microarrays and compared to a common reference pool (see Methods). Flow cytometry (Additional file 2) demonstrated that the control cells had entered S phase by 60 minutes after release, whereas the UVC-irradiated cells delayed in G1 phase and moved from G1 to S phase around 90 minutes after release, in agreement with previous data .
We have previously shown the existence of the G1/S checkpoint using several synchronisation methods , but none of the other methods provided good enough synchrony to perform similar analyses on global transcription. We have looked at our data for all known Cdc10 targets in the 12 arrays from the time-course experiment and observed no trend showing that UVC delays the occurrence of these transcripts. This is consistent with our RNA blots of the two selected transcripts cdc18 and cig2, which are not delayed by UVC in block-and-release experiments [Fig. 4D in ].
The restrictive-temperature experiment
UV-induced genes not present in the CESR
UV-induced genes not present in the CESR at UV30:
Glutathione S-transferase, similarity to Gst1p, induced by oxidative stress. Also induced by IR
Sof1-like domain containing family and contains 7 WD domains, similarity to S. cerevisiae Sof1p
Involved in initiation of transcription of rDNA promoter
Involved in negative regulation of cell wall integrity and septum formation
Protein containing six WD domains, similarity to S. cerevisiae Utp4p
Protein of unknown function, similarity to uncharacterized C. albicans Ipf15301p
Protein of unknown function
Iron permease FTR1 family. Also indused after IR and between C30 and C90
We also identified 44 genes that were repressed more than twofold and almost all of them (40) were non-CESR genes (Fig. 1B). These 40 genes were categorised according to the function of their products (Additional file 3), and, like for the proteins encoded by the induced genes, were known to be involved in a wide variety of activities including transport, metabolism, mating and mitochondrial activities. Amongst the repressed genes no obvious candidate genes for checkpoint regulators were found.
The time-course experiment
Differentially expressed genes in the time-course experiment
The time course experiment:
Differentially expressed genes
Differentially expressed genes when comparing the different timepoints
induced (P ≤ 0.05)
Furthermore, we searched for genes differentially expressed between 0/30, 30/90 and 0/90 minutes in both the C and UV samples. To this end we used moderated t-statistics with a P-value cut-off of 0.05 (for details see Methods). In these experiments each gene could potentially be assigned 12 expression values (three time points, C and UV, two repeats). About 35% of the values were missing in the entire dataset. The reasons for the missing values will be discussed below. We decided to remove the data for a gene if four or more of the 12 possible data values were missing. This action reduced the dataset from 5266 to 2836 genes, and data for the resulting 54% of the genes was considered more reliable and was used for further analysis.
Using the P-value cut-off of 0.05, we identified as many as 241 genes in total that were differentially expressed in the UVC-irradiated cells after release into the cell cycle (Fig. 2B and Table 2). Of all the 241 genes only 11 were different between UV0 and UV30, so little was happening at the transcriptional level during the first 30 minutes after irradiation. No genes were determined to be differentially expressed when comparing UV30 (late G1 phase) and UV90 (S phase). However, as many as 230 genes were defined to be different between UV0 (early G1 phase) and UV90 (S phase). The apparent discrepancy between the numbers of regulated genes between UV0/UV30 and UV30/UV90 on the one hand and between UV0/UV90 on the other can be explained as follows: Expression of a number of genes is different between UV0 and UV30, but only 11 genes were significantly different (P < 0.05). Similarly, a number of genes changed their expression between UV30 and UV90, but no difference passed the threshold we had set. However, when comparing UV0 and UV90, a number of genes (230) had altered their expression sufficiently during the total interval. It follows that the level of change for all of these genes was low.
UV-induced genes not present in the CESR at UV30
UV-induced genes not present in the CESR:
Repair and DNA metabolism
Nucleotide excision repair factor involved in the repair of UV damaged DNA
Holliday junction resolvase subunit that associates with Eme1p
Similarity to S. cerevisiae Gdh2p, a glutamate dehydrogenase
Similarity to 2-oxodicarboxylate transporter (S. cerevisiae Odc2p
Sugar (and other) transporter family and the major facilitator superfamily
Probable ferrichrome-iron transporter
Similarity to S. cerevisiae Mep2p, ammonium transporter family of membrane transporters
Sugar (and other) transporter family, and the major facilitator superfamily
Similarity to C. albicans Flu1p, a membrane transporter, major facilitator superfamily
Similarity to S. cerevisiae Tpo3p, a polyamine transport protein
Similarity to S. cerevisiae Tpo2p, a polyamine transport protein
Similarity to mitochondrial RNA splicing protein 3 (S. cerevisiae Mrs3p), mitochondrial carrier protein family
Similarity to S. cerevisiae Ptr2p, a peptide permease nitrogen-repressible transporter
Major facilitator superfamily, similarity to C. albicans Flu1p
Major facilitator superfamily, similarity to S. pombe Fnx1p, transporter required for long-term survival in N starved cells
Major facilitator superfamily and the sugar (and other) transporter family
Major facilitator superfamily and the sugar (and other) transporter family, similarity to S. cerevisiae Pho84p
Mechanosensitive ion channel family
Signaling and stress response
Protein containing a FYVE zinc finger domain, which bind phosphatidylinositol 3-phosphate
Iron-sensing transcription factor that binds GATA elements to regulate iron transporter gene transcription
Transcriptional activator that positively regulates the transcription of ste11 and fbp2
Similarity to S. cerevisiae Ncs2p, involved in pseudohyphal growth and cellular response to starvation
Protein-tyrosine phosphatase that acts on Sty1p and negatively regulates mitosis
Protein that binds ferredoxin (Etp1p) and contains iron-sulfur clusters
Probable Ca2+-ATPase, transcription is induced under high salt conditions
Ribosome biogenesis and translation
Protein involved in initiation of transcription of rDNA promoter
Similarity to S. cerevisiae Nsa2p, a nuclear protein involved in ribosome biogenesis, part of the small ribosomal subunit
Zinc knuckle domain, which can bind RNA or DNA in eukaryotes, similarity to S. cerevisiae Mpe1p
DNA binding protein, may be involved in chromosome segregation
Member of the MatE family, which are integral membrane proteins
Resistance to the L-proline analog AZC, catalyzes acetylation of AZC, homolog of S. cerevisiae Mpr1p
Containing an RNA recognition motif, similarity to S. cerevisiae Nab3p
Containing D-isomer specific 2-hydroxyacid dehydrogenase NAD binding and catalytic domains
Similarity to S. cerevisiae Pry3p, may have a role in mating efficiency
Protein of unknown function
SPNCRNA.101 SPAC18G6.09c SPAPB1A10.06 SPBC19C7.04c SPAC17A5.8
To further analyse the kinetics of gene expression in the time-course experiment we applied the software package maSigPro  on the filtered data, which allowed a multiple comparison of all three time points. There were 133 genes that significantly changed their expression levels during the time-course (P ≤ 0.05), and the expression of almost all (105 genes) was changed in both control and UVC-irradiated cells. Fifteen genes were identified as specific for the irradiated cells. There was a good correlation between the genes identified in this profile analysis and the differentially expressed genes determined in the statistical analysis above (Fig. 2C).
Enriched Gene Ontology Groups in the restrictive-temperature experiment
integral to plasma membrane
plasma membrane part
intrinsic to plasma membrane
di-, tri-valent inorganic cation transport
metal ion transport
cellular cation homeostasis
cellular chemical homeostasis
cation transmembrane transporter activity
metal ion transmembrane transporter activity
Confirmation of the microarray data
UVC does not induce the unfolded protein response
The unfolded protein response (UPR) is activated by the accumulation of unfolded proteins in the endoplasmic reticulum (ER). The UPR triggers a transcriptional response which serves to induce the production of ER components and to increase the degradation capacity to dispose of the unfolded proteins . It is possible that UVC irradiation might stress the ER and thus activate the UPR. Furthermore, GCN2 has been shown to be required for the induction of a majority of UPR target genes during ER stress in S. cerevisiae . We therefore used the present data from both the restrictive-temperature and time-course experiments to investigate whether UPR genes are induced by UVC in fission yeast. We identified UPR-genes in fission yeast as the homologues of the UPR-induced budding yeast genes . There was little, if any, induction of the UPR-genes identified by this method (Additional file 6). The lack of transcriptional response of these genes after UVC strongly argues that the G1/S checkpoint is not a manifestation of the UPR.
Here we have investigated gene expression in S. pombe cells traversing the G1/S border in a synchronous manner, both UVC-irradiated and unirradiated cells. The transcriptional response after UVC-irradiation in G1 phase was surprisingly weak. The vast majority of genes did not change their transcription pattern appreciably and the few that did increased or decreased their expression levels only two- to three-fold.
Comparison of the data from the two experiments
162 genes were identified as specifically UVC-regulated in the time-course experiment and 43 in the restrictive-temperature experiment. Surprisingly, as few as 4 genes (see Additional file 4) were found to be common for the two datasets, and these 4 genes were not differently expressed in UV0 and UV30 in the time-course experiment (Table 3), which is the time period when the irradiated cells were arrested in the G1/S checkpoint. The UVC irradiation elicits a quite weak transcriptional response on the cells both when considering the number of genes affected and the level of the response for the affected genes. Thus, our assay must be considered to be rather sensitive and even a small change in the experimental setup might bring the marginal levels of gene expression over or under our threshold, which could be one reason for the poor overlap between the two experiments. This further underlines our conclusion that UVC has only a marginal effect on gene transcription when given in G1 phase. It is possible that the biological differences between the cells in our two types of experiments is dominating and that the dissimilar sets of regulated genes reflect a biological difference rather than an artefact of our data analysis. In the restrictive-temperature experiment cells were arrested in G1 phase by the inactivation of Cdc10, which means that cell-cycle dependent responses were inhibited. Thus, this experiment reveals transcriptional regulation exclusively due to UVC irradiation, at a specific stage in the cell cycle. In contrast, in the time-course experiment cells were allowed to progress into the cell cycle. Even though we have subtracted the cell-cycle-regulated genes when identifying the UVC-regulated genes, the cell cycle stage in which the cellular response is analysed was still different from that of cells held in the cdc10 block. Consistent with this line of reasoning, we have shown that little happened at the transcriptional level during the first 30 minutes after irradiation in the time-course experiment (only 11 regulated genes when comparing UV0 to UV30), and most of the 172 genes changed their transcription enough to satisfy the criteria of our analysis only by a later time point, as the cells entered S phase. Therefore these genes have not been identified as regulated in the restrictive-temperature experiment.
In the data for the time-course experiment values were missing for many data points. This can be attributed to at least two reasons: lack of expression of the relevant open reading frames and technical problems with the microarrays. At any one time there are genes that are poorly expressed, so it was expected that there would be some missing values in our datasets. Low expression is the most likely reason for the absent microarray signal for the rhp4b transcript, which could also not be detected after RNA blotting. However, lack of expression cannot explain all the missing values. The 12 microarrays used in the time-course experiment comprised from 18% to 55% missing values (on average 35%), arguing that there were technical problems with at least some of the microarrays. Such a high level and difference in the number of missing values was not found for the two repeats of the restrictive-temperature experiment, which both had about 6% missing values, further suggesting technical problems with the arrays used in the time-course experiment. It should be noted that the microarrays used for this experiment came from a different batch/production than those used for the restrictive-temperature experiment. This problem did reduce the quality of the data for some of the genes in the time-course experiment, and we decided to remove all the data pertaining to genes where too many data points were missing (detailed in Results). However, the stringency of our analysis allows us to draw conclusions in spite of the missing data. Furthermore, any technical problem would have affected a random set of genes, and a strong transcriptional response would have been obvious even from the time-course experiment.
Comparisons with other organisms
This is the first report about the global transcriptional response after UVC irradiation in fission S. pombe and there are only a few reports about similar experiments in other organisms. The available data indicate that the weak transcriptional response to UVC stress we observed in fission yeast might be a conserved feature. For example, in human cells exposed to UVC only 155 of more than 7500 genes investigated changed their expression more than 2-fold . An early microarray-report using Escherichia coli cells identified several differentially expressed genes after UVC-irradiation, but the response was generally not more than two-fold .
Many checkpoints, both in fission yeast and in other organisms, involve transcriptional regulation. For instance, in multicellular organisms one of the best characterised checkpoint targets is p53, a transcription factor which is mutated in over half of human cancers. p53 stimulates transcription of cell-cycle inhibitors such as p21  and is essential for a persistent G1 arrest. Another tumour suppressor, pRb, targets the E2F-driven transcriptional programme in the G1/S checkpoint [23, 24]. In budding yeast activation of the G1/S checkpoint also impinges on transcriptional regulation in that the transcription factor SWI6 is phosphorylated and thereby inactivated by the checkpoint protein RAD53, leading to delayed transcription of CLN1 and CLN2 and a delayed entry into S phase . Recent data show that in fission yeast the transcriptional response is important in the intra-S checkpoint after exposure to hydroxyurea [10, 26].
Comparisons with other stress agents
We have observed no obvious change of the transcriptional programme that could be responsible for the G1/S checkpoint and also no strong induction of genes involved in DNA repair or checkpoint function. It is interesting to note that other DNA-damaging agents, such as H2O2 and IR, also do not lead totranscriptional induction of many DNA repair- or checkpoint-related genes [3, 4]. Therefore, it is likely that there is no need to specifically induce transcription of DNA repair-related genes, suggesting that the DNA repair capacity is high already before the UVC exposure, as the case is for budding yeast .
We have compared our data from synchronised cells to data based on H2O2- and IR-treated asynchronous cells [3, 4], and there is little overlap in the spectrum of non-CESR genes differentially expressed after exposure to the three agents. As discussed above, it seems that the cell-cycle position is important for the transcriptional profile obtained when exposing the cells to a stress treatment. However, when comparing the differentially expressed genes in asynchronously growing cells exposed to UVC (our unpublished observations) to cells exposed to H2O2  and IR  there is little overlap.
DNA-damaging agents, heat and other forms of stress give overlapping responses, described as the CESR, that involves 14% of the genome in S. cerevisiae . Few UVC-specific expression changes have been reported  and the fold-changes observed are low . It is therefore possible that transcriptional responses to heat stress combined with stringent statistical analyses and exclusion of the CESR-genes mask UVC-relevant gene expression changes in the restrictive-temperature experiment. Similarly, the absence of significant gene-expression changes after 30 minutes recovery in the time-course experiment indicates that UVC-relevant transcriptional responses are masked by the small fold-changes and extensive overlap between the UVC-specific response and the CESR. This is supported by appearance of differences on the transcriptional level first after 90 minutes. Our network analyses of gene-expression changes indicate that pathways involved in recovery after DNA damage are induced after 90 minutes (Fig. 4). The processes involved probably reflect the importance of the translation machinery in recovery after the insult. These recovery processes are likely to be important for survival after UVC treatment, as was shown in MMS-treated S. cerevisiae , although they may not be components of the G1/S checkpoint per se.
Regulation of the G1/S checkpoint
In the G1/S checkpoint the Gcn2 kinase is activated to phosphorylate the eukaryotic initiation factor 2α, eIF2α, thereby inhibiting translation . There is a good correlation between eIF2α phosphorylation and checkpoint activation , but it is still unclear whether and, if so, how the checkpoint is dependent upon this phosphorylation and on the ensuing downregulation of translation. Gcn2 is best known for its role in the starvation response, where eIF2α phosphorylation leads to induction of the transcription factor GCN4 both in budding yeast and higher eukaryotes. Fission yeast does not have a GCN4 homologue, and it remains to be seen whether the GCN2-dependent G1/S checkpoint in budding yeast  involves activation of GCN4. One might expect a transcriptional response after Gcn2 activation also in S. pombe, but the finding that no such transcriptional response could be identified argues that in fission yeast the G1/S checkpoint does not operate like it does in budding yeast or higher eukaryotes and is not dependent upon the strong transcriptional induction of one or a set of genes. We have shown that the G1/S checkpoint in S. pombe is associated with a strong downregulation of translation and it might be relevant that among the few genes that are affected at the transcription level, 15% affect the translation machinery. Importantly, amongst the transcriptionally regulated genes none were detected that are likely to be directly involved in the G1/S checkpoint according to their annotations.
Induction or inhibition of transcription is a fairly slow response and regulation of the cell cycle in S. pombe should preferably occur rapidly in order to be efficient and meaningful. Therefore, it intuitively makes sense that the present data suggest that the G1/S checkpoint is regulated at the level of protein modification and/or translation, which is rapid, rather than a slower regulation of gene expression.
The transcriptional response to UVC irradiation of fission yeast cells in G1 phase was shown to be weak. We conclude that the novel G1/S checkpoint is not regulated by changing the transcriptional programme. This is supported by an examination of the few genes that are induced or repressed by UVC, and none of them appears to have any relationship to cell-cycle regulation.
Yeast strains and cell growth
The cdc10-M17 strain is a derivative of the L972 strain . The basic growth media were as described . The temperature-sensitive cdc10 cells were grown exponentially in EMM to an optical density (595 nm) of 0.15 (about 3 × 106 cells/ml), before they were synchronised by a four-hour temperature shift to 36°C and irradiated with 1100 J/m2 UVC (254 nm), giving a cell survival of ~15% . Samples of 25 ml of control or UVC-irradiated cells were harvested at different time points by centrifugation and snap-frozen in liquid nitrogen.
Total RNA was extracted using a hot phenol method . RNA concentrations and qualities were measured in a NanoDrop (NanoDrop Technologies) and in a 2100 Bioanalyzer (Agilent Technologies).
Microarray hybridization and data acquisition
Total RNA was reverse transcribed (GibcoBRL) in the presence of Cy3- or Cy5-labelled dCTP. The cDNA was hybridised onto glass DNA microarrays containing duplicate probes for 99.3% of all known and predicted open reading frames in the fission yeast genome (for details on protocols and microarrays, see Lyne et al. 2003 and http://www.sanger.ac.uk/PostGenomics/S_pombe). A GenePix 4000 B laser scanner was used for scanning the microarrays before analysis with GenePix Pro software (Axon Instruments). A Perl script was used for removing unreliable signals and normalization of the data . All raw data are available under accession number A-MEXP-1666 and A-MEXP-1667 from ArrayExpress.
Two different types of experiment were performed (see Results) and for both types the RNA from two biological repeats were analysed with a dye swap. Samples from all three time points of the "time-course experiment" were hybridised individually against a reference pool containing equal amounts of RNA from the unirradiated cells, at all the three time points (0, 30 and 90 min). After normalisation (for details see Lyne et al. 2003), the ratio of the values for the actual sample and for the reference pool for each gene was divided by the corresponding ratio for untreated cells at time 0 (0 min control/reference pool). Samples from UVC-irradiated cells kept at 36°C, the "restrictive temperature experiment", were hybridized to the arrays against RNA from unirradiated cells.
Genes found differentially expressed in the time-course experiment (Table 4) were analyzed for gene ontology-enriched clusters using DAVID (Database for Annotation, Visualization and Integrated Discovery) http://niaid.abcc.ncifcrf.gov[35, 36]. As Schizosaccharomyces pombe gene names are not recognized, the gene names were converted to UniProt accession numbers using the YOGY (eukarYotic OrtholoGY) software http://www.bahlerlab.info/YOGY/. The YOGY software was also used to find Saccharomyces cerevisiae orthologues for use in the pathway analyses. When several orthologues were found, the S. pombe sequence was used as template for a BLAST search and the best hit in S. cerevisiae used. As there are very few resources available to investigate functional interactions in S. pombe, the S. cerevisiae orthologues were used to map protein-protein interactions. These interactions were processed using FunCoup (networks of functional coupling) http://funcoup.sbc.su.se/.
In both types of experiment genes were classified as differentially expressed when expression values were changed more than twofold (linear values) in both of the two biological repeats. Before statistically analysing the time-course experiment, a filtering of the data was performed. This filtering excluded all genes in the dataset that did not have a value in two-thirds of the arrays (i.e. missing more than 3 out of 12 values). The normalised expression values (see paragraph above) for the remaining genes were transformed from linear values to log2 values. Moderated t-statistics with a P-value cut-off of 0.05 was used to identify genes differently expressed during the time-course . Benjamini and Hochberg's method was used to calculate adjusted P-values and to statistically correct for the occurrence of false positives . The statistical analysis was performed using the programme R and Bioconductor . The Bioconductor package maSigPro was used to perform profile analysis of the time-course experiment to show how gene expression changed with time. Benjamini and Hochberg's method was also used in the profile analysis and the P-value cut-off was set to 0.05.
Total RNA was run on agarose gels in formaldehyde, blotted onto Hybond-XL membranes (Amersham Bioscience) and cross-linked by UVC. Probes were prepared by PCR of genomic DNA and labelled with 32P-d-CTP (Rediprime II Random prime labelling system, Amersham Bioscience). Phosphoimager screens were exposed to the washed blots and analyzed by a Pharos FX scanner (BioRad).
We are grateful to Jürg Bähler and Stephen Watt for assistance in performing the microarray experiments at the Wellcome Trust Sanger Institute, Cambridge. The microarray profile analysis service was provided by Ingrid H.G. Østensen at the Norwegian Microarray Consortium at the national technology platform, supported by the FUGE programme http://www.microarray.no. This work was supported by the functional genomics programme (FUGE) of the Research Council of Norway and the Norwegian Cancer Society.
- Breeden LL: Periodic transcription: a cycle within a cycle. CurrBiol. 2003, 13 (1): R31-R38.View ArticleGoogle Scholar
- Cho RJ, Huang M, Campbell MJ, Dong H, Steinmetz L, Sapinoso L, Hampton G, Elledge SJ, Davis RW, Lockhart DJ: Transcriptional regulation and function during the human cell cycle. NatGenet. 2001, 27 (1): 48-54.Google Scholar
- Chen D, Toone WM, Mata J, Lyne R, Burns G, Kivinen K, Brazma A, Jones N, Bahler J: Global transcriptional responses of fission yeast to environmental stress. Molecular Biology of the Cell. 2003, 14 (1): 214-229. 10.1091/mbc.E02-08-0499.PubMed CentralView ArticlePubMedGoogle Scholar
- Watson A, Mata J, Bahler J, Carr A, Humphrey T: Global gene expression responses of fission yeast to ionizing radiation. Molecular Biology of the Cell. 2004, 15 (2): 851-860. 10.1091/mbc.E03-08-0569.PubMed CentralView ArticlePubMedGoogle Scholar
- Gasch AP, Spellman PT, Kao CM, Carmel-Harel O, Eisen MB, Storz G, Botstein D, Brown PO: Genomic expression programs in the response of yeast cells to environmental changes. Molecular Biology of the Cell. 2000, 11 (12): 4241-4257.PubMed CentralView ArticlePubMedGoogle Scholar
- Causton HC, Ren B, Koh SS, Harbison CT, Kanin E, Jennings EG, Lee TI, True HL, Lander ES, Young RA: Remodeling of yeast genome expression in response to environmental changes. Molecular Biology of the Cell. 2001, 12 (2): 323-337.PubMed CentralView ArticlePubMedGoogle Scholar
- Caspari T, Carr AM: DNA structure checkpoint pathways in Schizosaccharomyces pombe. Biochimie. 1999, 81 (1-2): 173-181. 10.1016/S0300-9084(99)80050-9.View ArticlePubMedGoogle Scholar
- Murakami H, Nurse P: DNA replication and damage checkpoints and meiotic cell cycle controls in the fission and budding yeasts. BiochemJ. 2000, 349 (Pt 1): 1-12. 10.1042/0264-6021:3490001.View ArticleGoogle Scholar
- de Bruin RA, Kalashnikova TI, Aslanian A, Wohlschlegel J, Chahwan C, Yates JR, Russell P, Wittenberg C: DNA replication checkpoint promotes G1-S transcription by inactivating the MBF repressor Nrm1. Proceedings of the National Academy of Sciences of the United States of America. 2008, 105 (32): 11230-11235. 10.1073/pnas.0801106105.PubMed CentralView ArticlePubMedGoogle Scholar
- Dutta C, Patel PK, Rosebrock A, Oliva A, Leatherwood J, Rhind N: The DNA replication checkpoint directly regulates MBF-dependent G1/S transcription. Mol Cell Biol. 2008, 28 (19): 5977-5985. 10.1128/MCB.00596-08.PubMed CentralView ArticlePubMedGoogle Scholar
- Grallert B, Boye E: The Gcn2 kinase as a cell cycle regulator. Cell cycle (Georgetown, Tex). 2007, 6 (22): 2768-2772.View ArticleGoogle Scholar
- Hanahan D, Weinberg RA: The hallmarks of cancer. Cell. 2000, 100 (1): 57-70. 10.1016/S0092-8674(00)81683-9.View ArticlePubMedGoogle Scholar
- Tvegård T, Soltani H, Skjølberg HC, Krohn M, Nilssen EA, Kearsey SE, Grallert B, Boye E: A novel checkpoint mechanism regulating the G1/S transition. Genes and Development. 2007, 21 (6): 649-654. 10.1101/gad.421807.PubMed CentralView ArticlePubMedGoogle Scholar
- Nilssen EA, Synnes M, Kleckner N, Grallert B, Boye E: Intra-G1 arrest in response to UV irradiation in fission yeast. Proceedings of the National Academy of Sciences. 2003, 100 (19): 10758-10763. 10.1073/pnas.1833769100.View ArticleGoogle Scholar
- Alao JP, Sunnerhagen P: Rad3 and Sty1 function in Schizosaccharomyces pombe: an integrated response to DNA damage and environmental stress?. Molecular microbiology. 2008, 68 (2): 246-254. 10.1111/j.1365-2958.2008.06147.x.View ArticlePubMedGoogle Scholar
- Rustici G, Mata J, Kivinen K, Lio P, Penkett CJ, Burns G, Hayles J, Brazma A, Nurse P, Bahler J: Periodic gene expression program of the fission yeast cell cycle. NatGenet. 2004, 36 (8): 809-817.Google Scholar
- Conesa A, Nueda MJ, Ferrer A, Talon M: maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments. Bioinformatics (Oxford, England). 2006, 22 (9): 1096-1102. 10.1093/bioinformatics/btl056.View ArticleGoogle Scholar
- Bernales S, Papa FR, Walter P: Intracellular signaling by the unfolded protein response. Annual review of cell and developmental biology. 2006, 22: 487-508. 10.1146/annurev.cellbio.21.122303.120200.View ArticlePubMedGoogle Scholar
- Patil CK, Li H, Walter P: Gcn4p and novel upstream activating sequences regulate targets of the unfolded protein response. PLoS biology. 2004, 2 (8): E246-10.1371/journal.pbio.0020246.PubMed CentralView ArticlePubMedGoogle Scholar
- Travers KJ, Patil CK, Wodicka L, Lockhart DJ, Weissman JS, Walter P: Functional and genomic analyses reveal an essential coordination between the unfolded protein response and ER-associated degradation. Cell. 2000, 101 (3): 249-258. 10.1016/S0092-8674(00)80835-1.View ArticlePubMedGoogle Scholar
- Koch-Paiz CA, Amundson SA, Bittner ML, Meltzer PS, Fornace AJ: Functional genomics of UV radiation responses in human cells. Mutation research. 2004, 549 (1-2): 65-78.View ArticlePubMedGoogle Scholar
- Courcelle J, Khodursky A, Peter B, Brown PO, Hanawalt PC: Comparative gene expression profiles following UV exposure in wild-type and SOS-deficient Escherichia coli. Genetics. 2001, 158 (1): 41-64.PubMed CentralPubMedGoogle Scholar
- Bartek J, Lukas J: Mammalian G1- and S-phase checkpoints in response to DNA damage. Curr Opin Cell Biol. 2001, 13 (6): 738-747. 10.1016/S0955-0674(00)00280-5.View ArticlePubMedGoogle Scholar
- Lukas J, Lukas C, Bartek J: Mammalian cell cycle checkpoints: signalling pathways and their organization in space and time. DNA repair. 2004, 3 (8-9): 997-1007. 10.1016/j.dnarep.2004.03.006.View ArticlePubMedGoogle Scholar
- Sidorova JM, Breeden LL: Rad53-dependent phosphorylation of Swi6 and down-regulation of CLN1 and CLN2 transcription occur in response to DNA damage in Saccharomyces cerevisiae. Genes & development. 1997, 11 (22): 3032-3045. 10.1101/gad.11.22.3032.View ArticleGoogle Scholar
- Chu Z, Li J, Eshaghi M, Peng X, Karuturi RK, Liu J: Modulation of cell cycle-specific gene expressions at the onset of S phase arrest contributes to the robust DNA replication checkpoint response in fission yeast. Mol Biol Cell. 2007, 18 (5): 1756-1767. 10.1091/mbc.E06-10-0928.PubMed CentralView ArticlePubMedGoogle Scholar
- Birrell GW, Brown JA, Wu HI, Giaever G, Chu AM, Davis RW, Brown JM: Transcriptional response of Saccharomyces cerevisiae to DNA-damaging agents does not identify the genes that protect against these agents. Proceedings of the National Academy of Sciences of the United States of America. 2002, 99 (13): 8778-8783. 10.1073/pnas.132275199.PubMed CentralView ArticlePubMedGoogle Scholar
- Heinloth AN, Shackelford RE, Innes CL, Bennett L, Li L, Amin RP, Sieber SO, Flores KG, Bushel PR, Paules RS: Identification of distinct and common gene expression changes after oxidative stress and gamma and ultraviolet radiation. Mol Carcinog. 2003, 37 (2): 65-82. 10.1002/mc.10122.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
- Krohn M, Skjølberg HC, Soltani H, Grallert B, Boye E: The G1-S checkpoint in fission yeast is not a general DNA damage checkpoint. J Cell Sci. 2008, 121 (Pt 24): 4047-54. 10.1242/jcs.035428.View ArticlePubMedGoogle Scholar
- Menacho-Marquez M, Perez-Valle J, Arino J, Gadea J, Murguia JR: Gcn2p regulates a G1/S cell cycle checkpoint in response to DNA damage. Cell cycle (Georgetown, Tex). 2007, 6 (18): 2302-2305.View ArticleGoogle Scholar
- Kim SM, Huberman JA: Regulation of replication timing in fission yeast. Embo J. 2001, 20 (21): 6115-6126. 10.1093/emboj/20.21.6115.PubMed CentralView ArticlePubMedGoogle Scholar
- Moreno S, Klar A, Nurse P: Molecular genetic analysis of fission yeast Schizosaccharomyces pombe. Methods Enzymol. 1991, 194: 795-823. full_text.View ArticlePubMedGoogle Scholar
- Lyne R, Burns G, Mata J, Penkett CJ, Rustici G, Chen D, Langford C, Vetrie D, Bahler J: Whole-genome microarrays of fission yeast: characteristics, accuracy, reproducibility, and processing of array data. BMCGenomics. 2003, 4 (1): 27-Google Scholar
- Huang da W, Sherman BT, Lempicki RA: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature protocols. 2009, 4 (1): 44-57. 10.1038/nprot.2008.211.View ArticlePubMedGoogle Scholar
- Dennis G, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC, Lempicki RA: DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome biology. 2003, 4 (5): P3-10.1186/gb-2003-4-5-p3.View ArticlePubMedGoogle Scholar
- Penkett CJ, Morris JA, Wood V, Bahler J: YOGY: a web-based, integrated database to retrieve protein orthologs and associated Gene Ontology terms. Nucleic Acids Res. 2006, W330-334. 10.1093/nar/gkl311. 34 Web Server
- Alexeyenko A, Sonnhammer EL: Global networks of functional coupling in eukaryotes from comprehensive data integration. Genome Res. 2009, 19 (6): 1107-1116. 10.1101/gr.087528.108.PubMed CentralView ArticlePubMedGoogle Scholar
- Smyth GK: Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments. Applications in Genetics and Molecular Biology. 2004, 3 (1):
- Benjamini Y, Hochberg : Yosef Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B. 1995, 57 (1): 289-300.Google Scholar
- Gentleman RCCV, Huber W, Irizarry RA, Dudoit S: Bioinformatics and Computational Biology Solutions Using R and Bioconductor. 2005, Springer, New York, 397-420.View ArticleGoogle Scholar
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