Research Interests for Steven B. Haase

In order to divide, cells must first duplicate their entire contents, and then segregate the duplicated contents equally into two daughter cells. The duplication and segregation events of the cell division cycle must be triggered in a strict temporal order to insure that each new daughter cell is identical to the original mother cell. Using the budding yeast, Saccharomyces cerevisiae, as a model system, we are investigating the role of a highly conserved family of cell cycle regulatory proteins, called cyclin-dependent kinases (Cdks), in maintaining the ordered sequence of events during cell division. Our lab utilizes a variety of molecular, genetic, genomic and cell imaging approaches to address three fundamental questions: 1. What are the mechanisms that initiate the ordered progression of the cell cycle? 2. How do Cdk activities insure that DNA sequences are replicated once and only once during each cell cycle? 3. How do Cdk activities insure that centrosomes/ spindle pole bodies are duplicated once and only once during each cell cycle? We have found that cells lacking mitotic Cdk activities undergo successive rounds of budding, DNA replication, and spindle pole body (centrosome) duplication without intervening mitoses. Our findings suggest that mitotic Cdk activities are essential not only for promoting mitosis, but also for preventing the re-initiation of duplication events until the completion of mitosis. Several lines of evidence suggest that failure to properly coordinate cell cycle events may lead to genome instability, a driving force in tumorigenesis. The goal of our research is to understand how Cdk activities normally maintain order during the cell cycle, and how perturbation of Cdk activities may contribute to genome instability.

Keywords:

Algorithms, Amino Acid Motifs, Amino Acid Sequence, Animals, Artifacts, Base Sequence, Biological Clocks, Biological Markers, CDC2 Protein Kinase, CDC28 Protein Kinase, S cerevisiae, Cell Culture Techniques, Cell Cycle, Cell Cycle Proteins, Cell Division, Cell Proliferation, Cell Separation, Cell Shape, Centrifugation, Centrosome, Chromosomal Instability, Chromosomal Proteins, Non-Histone, Chromosomes, Human, Circadian Clocks, Circadian rhythms, Computational Biology, Cyclin B, Cyclin-Dependent Kinases, Cyclins, Cytoplasm, DNA, DNA, Fungal, DNA, Mitochondrial, Electrophoresis, Endopeptidases, F-Box Proteins, Flow Cytometry, Fluorescent Dyes, Functional genomics, G1 Phase, Gene Expression, Gene Expression Regulation, Gene Expression Regulation, Fungal, Gene Regulatory Networks, Genes, Fungal, Genome, Genomics, Host-Pathogen Interactions, Humans, Indicators and Reagents, Kinesin, Mammals, Methods, Microscopy, Electron, Microscopy, Fluorescence, Microtubule-Associated Proteins, Microtubules, Mitosis, Models, Biological, Models, Genetic, Models, Statistical, Molecular Motor Proteins, Molecular Sequence Data, Mutation, Nuclear Proteins, Oligonucleotide Array Sequence Analysis, Organic Chemicals, Peptide Fragments, Periodicity, Phosphoproteins, Phosphorylation, Plant Cells, Plasmids, Promoter Regions, Genetic, Propidium, RNA, S Phase, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Saccharomycetales, Schizosaccharomyces, Software, Systems Biology, Time Factors, Transcription, Transcription Factors, Transcription, Genetic, Transcriptome, Ubiquitin, Ubiquitin-Conjugating Enzymes, Ubiquitin-Protein Ligase Complexes, Ubiquitin-Protein Ligases, Yeast, Yeasts, Yin-Yang

Recent Publications

1. Campione, SA; Kelliher, CM; Roth, C; Cho, CY; Deckard, A; Motta, F; Haase, SB, Identification and correction of time-series transcriptomic anomalies., Nucleic acids research, vol. 53 no. 12 (June, 2025), pp. gkaf524 [doi] [abs]
2. Motta, FC; McGoff, K; Cummins, B; Haase, SB, Generalized measures of population synchrony., Mathematical biosciences, vol. 380 (February, 2025), pp. 109344 [doi] [abs]
3. Eslami, M; Moseley, RC; Eramian, H; Bryce, D; Haase, SB, AutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses., Scientific reports, vol. 14 no. 1 (October, 2024), pp. 23581 [doi] [abs]
4. Hasnain, A; Balakrishnan, S; Joshy, DM; Smith, J; Haase, SB; Yeung, E, Author Correction: Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics., Nature communications, vol. 15 no. 1 (March, 2024), pp. 2034 [doi]
5. Fox, J; Cummins, B; Moseley, RC; Gameiro, M; Haase, SB, A yeast cell cycle pulse generator model shows consistency with multiple oscillatory and checkpoint mutant datasets., Mathematical biosciences, vol. 367 (January, 2024), pp. 109102 [doi] [abs]