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Optimization of a microarray for fission yeast

  • Kim, Dong-Uk (Aging Research Center, Korea Research Institute of Bioscience & Biotechnology (KRIBB)) ;
  • Lee, Minho (Catholic Precision Medicine Research Center, College of Medicine, The Catholic University of Korea) ;
  • Han, Sangjo (Data Analytics CoE, SK Telecom) ;
  • Nam, Miyoung (Department of New Drug Development, Chungnam National University) ;
  • Lee, Sol (Department of New Drug Development, Chungnam National University) ;
  • Lee, Jaewoong (Department of New Drug Development, Chungnam National University) ;
  • Woo, Jihye (Department of New Drug Development, Chungnam National University) ;
  • Kim, Dongsup (Department of Bio and Brain Engineering, Korea Advanced Institute of Science & Technology (KAIST)) ;
  • Hoe, Kwang-Lae (Department of New Drug Development, Chungnam National University)
  • 투고 : 2019.06.03
  • 심사 : 2019.06.28
  • 발행 : 2019.09.30

초록

Bar-code (tag) microarrays of yeast gene-deletion collections facilitate the systematic identification of genes required for growth in any condition of interest. Anti-sense strands of amplified bar-codes hybridize with ~10,000 (5,000 each for up-and down-tags) different kinds of sense-strand probes on an array. In this study, we optimized the hybridization processes of an array for fission yeast. Compared to the first version of the array (11 ㎛, 100K) consisting of three sectors with probe pairs (perfect match and mismatch), the second version (11 ㎛, 48K) could represent ~10,000 up-/ down-tags in quadruplicate along with 1,508 negative controls in quadruplicate and a single set of 1,000 unique negative controls at random dispersed positions without mismatch pairs. For PCR, the optimal annealing temperature (maximizing yield and minimizing extra bands) was 58℃ for both tags. Intriguingly, up-tags required 3× higher amounts of blocking oligonucleotides than down-tags. A 1:1 mix ratio between up- and down-tags was satisfactory. A lower temperature (25℃) was optimal for cultivation instead of a normal temperature (30℃) because of extra temperature-sensitive mutants in a subset of the deletion library. Activation of frozen pooled cells for >1 day showed better resolution of intensity than no activation. A tag intensity analysis showed that tag(s) of 4,316 of the 4,526 strains tested were represented at least once; 3,706 strains were represented by both tags, 4,072 strains by up-tags only, and 3,950 strains by down-tags only. The results indicate that this microarray will be a powerful analytical platform for elucidating currently unknown gene functions.

키워드

참고문헌

  1. Shoemaker DD, Lashkari DA, Morris D, Mittmann M, Davis RW. Quantitative phenotypic analysis of yeast deletion mutants using a highly parallel molecular bar-coding strategy. Nat Genet 1996;14:450-456. https://doi.org/10.1038/ng1296-450
  2. Lum PY, Armour CD, Stepaniants SB, Cavet G, Wolf MK, Butler JS, et al. Discovering modes of action for therapeutic compounds using a genome-wide screen of yeast heterozygotes. Cell 2004;116:121-137. https://doi.org/10.1016/S0092-8674(03)01035-3
  3. Winzeler EA, Shoemaker DD, Astromoff A, Liang H, Anderson K, Andre B, et al. Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis. Science 1999;285:901-906. https://doi.org/10.1126/science.285.5429.901
  4. Kim DU, Hayles J, Kim D, Wood V, Park HO, Won M, et al. Analysis of a genome-wide set of gene deletions in the fission yeast Schizosaccharomyces pombe. Nat Biotechnol 2010;28:617-623. https://doi.org/10.1038/nbt.1628
  5. Nam M, Lee SJ, Han S, Kim D, Lee M, Kang EJ, et al. Systematic targeted gene deletion using the gene-synthesis method in fission yeast. J Microbiol Methods 2014;106:72-77. https://doi.org/10.1016/j.mimet.2014.08.005
  6. Sipiczki M. Where does fission yeast sit on the tree of life? Genome Biol 2000;1:REVIEWS1011.
  7. Hayles J, Wood V, Jeffery L, Hoe KL, Kim DU, Park HO, et al. A genome-wide resource of cell cycle and cell shape genes of fission yeast. Open Biol 2013;3:130053. https://doi.org/10.1098/rsob.130053
  8. Pierce SE, Fung EL, Jaramillo DF, Chu AM, Davis RW, Nislow C, et al. A unique and universal molecular barcode array. Nat Methods 2006;3:601-603. https://doi.org/10.1038/nmeth905
  9. Ammar R, Smith AM, Heisler LE, Giaever G, Nislow C. A comparative analysis of DNA barcode microarray feature size. BMC Genomics 2009;10:471. https://doi.org/10.1186/1471-2164-10-471
  10. Pierce SE, Davis RW, Nislow C, Giaever G. Genome-wide analysis of barcoded Saccharomyces cerevisiae gene-deletion mutants in pooled cultures. Nat Protoc 2007;2:2958-2974. https://doi.org/10.1038/nprot.2007.427
  11. Moreno S, Klar A, Nurse P. Molecular genetic analysis of fission yeast Schizosaccharomyces pombe. Methods Enzymol 1991;194:795-823. https://doi.org/10.1016/0076-6879(91)94059-L
  12. Han S, Lee M, Chang H, Nam M, Park HO, Kwak YS, et al. Construction of the first compendium of chemical-genetic profiles in the fission yeast Schizosaccharomyces pombe and comparative compendium approach. Biochem Biophys Res Commun 2013;436:613-618. https://doi.org/10.1016/j.bbrc.2013.05.138
  13. Gautier L, Cope L, Bolstad BM, Irizarry RA. affy: analysis of Affymetrix GeneChip data at the probe level. Bioinformatics 2004;20:307-315. https://doi.org/10.1093/bioinformatics/btg405
  14. Sheather SJ, Jones MC. A reliable data-based bandwidth selection method for Kernel density-estimation. J R Stat Soc Series B Methodol 1991;53:683-690.
  15. Eason RG, Pourmand N, Tongprasit W, Herman ZS, Anthony K, Jejelowo O, et al. Characterization of synthetic DNA bar codes in Saccharomyces cerevisiae gene-deletion strains. Proc Natl Acad Sci U S A 2004;101:11046-11051. https://doi.org/10.1073/pnas.0403672101
  16. Lee M, Choi SJ, Han S, Nam M, Kim D, Kim DU, et al. Mutation analysis of synthetic DNA barcodes in a fission yeast gene deletion library by Sanger sequencing. Genomics Inform 2018;16:22-29. https://doi.org/10.5808/GI.2018.16.2.22