2. View microarray data in text format. (Microarray data are also available from the YFGdb.)
3. View list of Mot1-regulated genes with links to SGD.
4. Complete Materials and Methods.
5. Quantitation of RNA levels in Figure 1.
6. Annotated Venn diagrams from Figure 2 in JPEG format.
Part a: Mot1 repression correlates with diauxic, stress, or alpha-factor induction.7. Contact information.Part b1: Intersect of Mot1 repression, Srb10 repression, and diauxic induction.
Part b2: Intersect of Mot1 repression, NC2 repression, and diauxic induction.
Contact David Auble.Visit the Auble Lab web page or NIEHS Microarray Center.
To obtain quantitative estimates of the degree of overlap between the MOT1 microarray data and other data sets, the following analyses were performed. Microarray data for the diauxic shift and TUP1 were taken from http://cmgm.stanford.edu/pbrown/explore/index.html. Ratios of induction or repression were taken directly from the data sets. Alignments of data sets were done in Microsoft Excel 5 and checked using the comparative function [=if(xn=yn,0,100)], where n is the number of a row, and x and y are columns containing the ORF names that correspond to each data point (ORF names and microarray results from each data set are kept in adjoining columns). The function reports a value of zero when the ORF names are identical; when the summation of this function over all 6000+ rows was zero, the alignment was complete. Entries in one data set that were not present in the other data set were deleted. In many cases the same ORF would appear two or three times in one data set; the second and third instances were discarded, except that for some of the diauxic shift data, multiple occurrences of a gene were averaged, using the functions [=exp((ln(a)+ln(b))/2)] or [=exp((ln(a)+ln(b)+ln(c))/3)] where a, b, and c are cells containing replicate results. For the purpose of counting genes significantly affected in a given microarray, another Microsoft Excel function was used: [=if(x>2,1,0)] or [=if(x<0.5,1,0)], where x is a cell containing an induction/repression ratio. Genes affected significantly in two microarrays could be counted using functions such as [=if(if(xn>2,1,0)+if(yn>2,1,0)>1,1,0)] where x and y are columns containing induction or repression ratios, and n is a row. Summation of these functions over all rows gives the total number of genes in the intersection.
Microarray data for TAF145, TSM1, GCN5, and SPT3 was taken from the site http://web.wi.mit.edu/young/pub/expressionanalysis.html. This data was not reported in the form of ratios, but as intensities. To adjust for fluctuations in the readings, the operation [=if(x<10,10,0)] (where x is a cell) was used to set the baseline to 10, as recommended at the same web site. Repression ratios were then computed, and data sets were aligned as above. For many genes, the computed ratio is exactly equal to one; this was taken as an indicator that neither in the normal nor in the mutant strain did the intensity of the hybridization rise above the baseline, and these genes were removed from the alignment. The data for NC2 (BUR6) is available at the same web site; it had, however, already been edited so that the baseline was at 20. Genes for which neither reading was above baseline were again discarded.
Correlation coefficients were calculated using the Excel "CORREL" function. Venn diagrams were constructed in Deneba Canvas 5 (Miami, Florida) as follows: first a circle was drawn for one of the data sets; succeeding figures were made by scaling the first circle appropriately, then reshaped by eye to make the intersects the correct sizes. Areas of all shapes and intersections were checked in the "Object Info" window; errors were mostly in the range of 10%, but rising above 20% for some of the smaller objects and overlaps. The pie chart was made in Kaleidagraph (Synergy Software, Reading, Pennsylvania).
Yeast stress response data used in making the expression tree were taken from http://genome-www.stanford.edu/yeast_stress/ (Gasch et al. 2000). Cluster and Treeview programs are available at Michael Eisen's web site.
The promoter sequences of the MOT1-activated genes were analyzed using the Wconsensus algorithm with default parameters; no shared DNA sequence elements were identified with statistically-significant expected frequencies (not shown).
To reverse crosslinks NaCl was added to 250 mM and the samples are incubated at 65oC for 5 hrs. About 10% of chromatin solutions with reversed crosslinks were reserved for later analysis as 'input' controls. The protein and DNA was ethanol precipitated overnight at -20oC. After centrifugation at 14000 X g at 4oC for 15 min, the pellet was washed with 70% ethanol and air dried and resuspended in 180 ?l of TE (10mM Tris-HCl, pH 8.0, 1 mM EDTA). RNase was added to 20 ?g/ml and the samples were incubated at 37oC for 30 min. Following RNase digestion, 20 ?l of 10X proteinase K digestion buffer (0.1 M Tris, pH 8.0, 50 mM EDTA, 5% SDS) and 1 ?l of 20 ?g/?l of proteinase K was added and the samples were incubated at 42 C for 2 hrs. After extraction with phenol-chloroform-isoamyl alcohol and chloroform, DNA was ethanol-precipitated overnight at -20 C in the presence of 20?g glycogen and resuspended in TE buffer. Quantitative PCR was performed using approximately 1/100 of the material recovered after the IP and 1/10000 of the input DNA. Typically the PCR reactions were carried out in 50 ?l reaction mixture (20 mM Tris-HCl, pH 8.4, 1.5 mM MgCl2, 0.2 mM each dNTP, 1 ?M each primer and 2.5 U Taq polymerase (GIBCO BRL). The PCR was performed as follows: 2 min at 94 C, then 26 cycles of 30 seconds at 94 C, 1 minute at 52 C and 1 minute at 72 C; followed by a final extension of 7 minutes at 72 C. All PCR products were separated on 15% polyacrylamide gels which were stained with ethidium bromide and visualilized by the AlphaImager digital camera (Alpha Innotech Corp.). AlphaEase program, version 4.0 was used to quantify the captured ethidium bromide-stained image. Quantification was performed by calculating the difference in band intensities between the tagged and untagged samples, normalized to the band intensities obtained using the input samples. The normalized PCR signal obtained using primers for MOT1-controlled promoters was roughly three-fold greater than the signal obtained using primers for other promoters or ORFs (except the ACT1 ORF), and the analysis was performed at least 3 times using two independently prepared batches of chromatin.
5'-ACTACACCAATTAATATCGACAAATG-3' and 5'-ATTAGATTGAGGGCGTGCGTA-3' (BNA1, 522 bp); 5'-GACAGCCAGTTTAACTACCAAGTTCT-3' and 5'-TTCAACTTCCCACGGAACTGAT-3' (URA1, 933 bp); 5'-ATCAAAGCTACGGCGGTGTATT-3'and 5'-CCCTGTGTATTTGTTAAATTGTTCAC-3' (SGA1, 1439 bp); 5'-TCTTTCGCTCATTTTACCTACCTG-3' and 5'-ACATTGCAAGCAACTGCCAT-3' (AGA1, 2156 bp); 5'-CTCATCGTGGCATCTTTGTT-3' and 5'-TCAGGGGCAGTAGTTAGATCAT-3' (TSL1, 887 bp); 5'-GTCAAAGGCAGTAGGTGATTTAGG-3' and 5'-TAAGCTTGGTAGGTTGAGGAAGA-3' (GND2, 1476 bp); 5'-CCGCTCGAGAAATGTTAGTTTTATCCTTGA-3'and 5'-CGGGATCCTTACAACAATCTCTCTTCGAAT-3' (INO1, ~1.67 kb); 5'-CCCAAAAAAAGTTTTACTCGCTC-3'and 5'-TAAAGCGTCGATGGATCTTACG-3' (YDR533C, 700 bp); 5'-GAGGAAGCTAAATCCAGCTTTAGA-3'and 5'-CCGTACCTTTTCCAATTTTCA-3' (YDR539W, 1500 bp); 5'-TGTCAGAACCTTCAGAGAAAAAACA-3'and 5'-TCTTCAACCAGTTTGTACAGTGC-3' (YGR043C, 991 bp); 5'-TGTAACCAAATACTTTTACAAGGGTG-3' and 5'-AATTGTAGGCTTTGGTTCCG-3' (YHR087W, 326 bp); 5'-ACAAGATCACATTTTTGTTGAACTG-3'and 5'-CTGGAAGAGCCAATCTCTTGAA-3' (THI5, 1008 bp)
Chromatin immunoprecipitation:
5' - TATTCTTTGATTGCGCTGCC-3' and 5' - CGATTTTTTTGGTAAATGTATGC-3' (BNA1 promoter, 336 bp); 5' - GAAATGAAGATTCTTGTTCATGTG A-3' and 5'- TGTTGCTGAGATTTGTGACGGT-3' (RPL5 promoter, 344 bp); 5' - CCTTTTGTT CTTCACGTCCTTTT-3' and 5'- CGACAACAGAACAAGCCAAA-3' (INO1 promoter, 292bp); 5'- GGGAAAAAAGGAAAAGGAGCA-3' and 5'- GTTTGGTACGGAAGT TCAATTTT-3' (URA1 promoter, 490 bp); 5'- AACTCCGTGTGTACCCCTAACT-3' and 5' - GTTTGTTTGTTTGCTTTTTTGG-3' (HSP26 promoter, 479 bp); 5' - AAC GTAAAATAAATAATACTGTTC-3' and 5' - AAGCTGAGGTTACAAGACTATGAG-3' (SAN1 promoter, 326 bp); 5' -TCCTTATCGGATCCTCAAAACC-3' and 5'- CAGTAAATTTTCGATCTTGGGAAG (ACT1 promoter, 479 bp); 5' - TGTTCGTGCATTTTACACTCG-3' and 5'- AACTTCCCACGGAACTGATCTA-3' (URA1 orf, 231 bp); 5'- ACATTCATTGCGGGAGACGA-3' and 5'- CCGACGGGCTTCATATATATTTGA-3' (INO1 orf, 287 bp); 5'- CTGTGGGTATTGTTGTGGAACA-3' and 5'- ATTAGATTGAGGGCGTGCGTA-3' (BNA1 orf, 218 bp); 5'- CTCACTGAACAACAACGCACTCTC-3' and 5' - CTCACTGAACAACAACGCACTCTC-3' and 5' - ATCTGTTCGCCAGAACTTGCATTT-3' (SAN1 orf, 358 bp); 5'- TTAATAACATTCAGACATTATTGAAA-3' and 5'- CCTTCATATTAAGGAAACAACTCCTC-3' (RAD16 orf, 187 bp); 5' -CTACCTCACGCCATTTTGAGAA-3' and 5'-AGTGATGACTTGACCATATGGAA-3' (ACT1 orf, 237 bp)
Chen, Y., Dougherty, E. R., and Bittner, M. L. (1997). Ratio-based decisions and the quantitative analysis of cDNA microarray images. J Biomed Optics 2, 364-374.
DeRisi, J. L., Iyer, V. R., and Brown, P. O. (1997). Exploring the metabolic and genetic control of gene expression on a genomic scale. Science 278, 680-686.
Gasch, A. P., Spellman, P. T., Kao, C. M., Carmel-Harel, O., Eisen, M. B., Storz, G., Botstein, D., and Brown, P. O. (2000). Genomic Expression Programs in the Response of Yeast Cells to Environmental Changes. Mol Biol Cell 11, 4241-4257.
Hauser, N. C., Vingron, M., Scheideler, M., Krems, B., Hellmuth, K., Entian, K.-D., and Hoheisel, J. D. (1998). Transcriptional profiling on all open reading frames of Saccharomyces cerevisiae. Yeast 14, 1209-1221.
Kang, J. J., Auble, D. T., Ranish, J. A., and Hahn, S. (1995). Analysis of the Yeast Transcription Factor TFIIA: Distinct Functional Regions and a Polymerase II-Specific Role in Basal and Activated Transcription. Mol Cell Biol 15, 1234-1243.
Kuo, M. H., and Allis, C. D. (1999). In Vivo Cross-Linking and Immunoprecipitation for Studying Dynamic Protein:DNA Associations in a Chromatin Environment. Methods 19, 425-433.
Lee, T. I., Causton, H. C., Holstege, F. C. P., Shen, W.-C., Hannett, N., Jennings, E. G., Winston, F., Green, M. R., and Young, R. A. (2000). Redundant Roles for the TFIID and SAGA Complexes in Global Transcription. Nature 405, 701-704.
Rigaut, G., Shevchenko, A., Rutz, B., Wilm, M., Mann, M., and Seraphin, B. (1999). A Generic Protein Purification Method for Protein Complex Characterization and Proteome Exploration. Nature Biotech 17, 1030-1032.
Roberts, C. J., Nelson, B., Marton, M. J., Stoughton, R., Meyer, M. R., Bennett, H. A., He, Y., Dai, H., Walker, W. L., Hughes, T. R., et al. (2000). Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles. Science 287, 873-880.
Sandmeier, J. J., Celic, I., Boeke, J. D., and Smith, J. S. (2001). Telomeric and rDNA Silencing in Saccharomyces cerevisiae is Dependent on a Nuclear NAD+ Salvage Pathway. submitted.
Schmitt, M. E., Brown, T. A., and Trumpower, B. L. (1990). A rapid and simple method for preparation of RNA from Saccharomyces cerevisiae. Nucleic Acids Res 18, 3091-3092.
Sikorski, R. S., and Hieter, P. (1989). A System of Shuttle Vectors and Yeast Host Strains Designed for Efficient Manipulation of DNA in Saccharomyces cerevisiae. Genetics 122, 19-27.
Walker, S. S., Shen, W. C., Reese, J. C., Apone, L. M., and Green,
M.
R. (1997). Yeast TAFII145 Required for Transcription of G1/S Cyclin
Genes
and Regulated by the Cellular Growth State. Cell 90, 607-614.
| gene name | Ratio mot1-14 to MOT1+ | Ratio mot1-42 to MOT1+ | Ratio taf145-869 to TAF145+ | Ratio tsm1 ts to TSM1+ | Ratio toa2-3 to TOA2+ |
| INO1 | 5.9 | 4.9 | 0.75 | 1.2 | 0.97 |
| THI5 | 4.6 | 4.5 | 0.78 | 1.2 | 0.38 |
| YDR533C | 4.5 | 4.2 | 1.6 | 2.5 | 0.70 |
| YGR043C | 5.2 | 5.3 | 3.2 | 1.9 | 1.1 |
| AGA1 | 4.5 | 3.0 | 0.35 | 1.1 | 0.36 |
| HSP26 | 3.8 | 4.5 | 4.2 | 1.7 | 2.3 |
| TSL1 | 3.2 | 1.8 | 2.1 | 1.4 | 1.4 |
| BNA1 | 0.26 | 0.49 | 0.15 | 0.46 | 0.19 |
| URA1 | 0.28 | 0.50 | 0.45 | 1.2 | 0.54 |
| YDR539W | 0.26 | 0.38 | 0.32 | 0.51 | 0.20 |
| gene name | Ratio mot1-14 to MOT1+ | Ratio mot1-42 to MOT1+ | Ratio taf145-869 to TAF145+ | Ratio tsm1 ts to TSM1+ | Ratio toa2-3 to TOA2+ |
| RPL5 | 1.0 | 1.2 | 0.44 | 1.6 | 0.80 |
| RPS5 | 1.1 | 1.2 | 0.38 | 1.5 | 0.76 |
| ACT1 | 1.3 | 1.6 | 0.78 | 2.0 | 1.1 |
| SAN1 | 0.7 | 0.9 | 0.6 | 0.9 | 1.0 |
| RAD16 | 0.8 | 1.2 | 1 | 0.9 | 0.7 |
| gene name | Ratio mot1-14 to MOT1+ | Ratio bna1 delta to BNA1+ |
| GND2 | 3.6 | 0.84 |
| HSP26 | 7.6 | 0.60 |
| YHR087W | 1.9 | 0.92 |
| SGA1 | 3.0 | 0.90 |
| BNA1 | 0.76 | 0.25 |