A Genetic and Molecular Analysis of the Control of the Start of the Cell Cycle in Saccharomyces Cerevisiae PDF Download
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Author: Charles B. Epstein
Publisher:
ISBN:
Category :
Languages : en
Pages : 124
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Author: Charles B. Epstein
Publisher:
ISBN:
Category :
Languages : en
Pages : 124
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Author: Thomas Allen Peterson
Publisher:
ISBN:
Category :
Languages : en
Pages : 284
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Author:
Publisher:
ISBN: 9780815332183
Category : Cells
Languages : en
Pages : 0
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Author: J. Richard Dickinson
Publisher: CRC Press
ISBN: 1134425074
Category : Science
Languages : en
Pages : 734
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Since the publication of the best-selling first edition, much has been discovered about Saccharomyces cerevisiae, the single-celled fungus commonly known as baker's yeast or brewer's yeast that is the basis for much of our understanding of the molecular and cellular biology of eukaryotes. This wealth of new research data demands our attention and r
Author: Benjamin Thomas Grys
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Gene and protein expression, turnover, and localization are imperative for cell cycle progression. However, there has been no systematic study of multi-level regulatory events throughout the cell cycle in eukaryotes. To address this void, I developed a pipeline for quantifying changes in protein concentration and localization over the course of the budding yeast cell cycle. This pipeline combines Synthetic Genetic Array technology, high-throughput fluorescence microscopy of a collection of strains expressing Open Reading Frame-Green Fluorescent Protein fusions, and sophisticated deep learning techniques to generate and analyze cell cycle-specific image data for ~75% of the proteome. In developing this pipeline, I demonstrated that the application of deep learning to biological image data can overcome pitfalls associated with conventional machine learning classifiers, including improved performance at classifying subcellular protein localization as well as transferability to diverse image-sets with minimal tuning and training. I used this optimized pipeline to acquire and analyze >123,000 images of ~20 million live cells. I used a neural network (CycleNET) to classify single cell images by cell cycle position, and a second neural network (DeepLoc) to quantify the localization of proteins in 22 unique localization classes. I optimized statistical scoring metrics to identify 825 proteins with fluctuating levels during cell cycle progression, and 405 proteins that change in localization. Different cell cycle stages featured significant movement of proteins between subcellular compartments, including cell cycle-specific turnover of ribosomal subunits and their regulators at the vacuole in early mitosis, a novel observation that may reflect a new mechanism for ensuring the presence of high quality translational machinery during cell cycle progression. I combined these proteomics datasets with new cell cycle-specific gene expression and translational efficiency data, generated by RNA sequencing and ribosome profiling, respectively. Integrating these datasets allowed me to identify new control mechanisms for known cell cycle regulators, implicate new genes in the control of cell cycle progression, and reveal broad trends about how cells leverage different levels of regulation for different groups of genes. Finally, I demonstrated that the integration of my four cell cycle-specific datasets affords power in predicting cell cycle-related functions of uncharacterized and unannotated genes.
Author: Benzecri
Publisher: CRC Press
ISBN: 058536303X
Category : Mathematics
Languages : en
Pages : 684
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This practical reference/text presents a complete introduction to the practice of data analysis - clarifying the geometrical language used, explaining the formulae, reviewing linear algebra and multidimensional Euclidean geometry, and including proofs of results. It is intended as either a self-study guide for professionals involved in experimental
Author: Howard B. Lieberman
Publisher: Springer Science & Business Media
ISBN: 1592596460
Category : Science
Languages : en
Pages : 366
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The field of cell cycle regulation is based on the observation that the life cycle of a cell progresses through several distinct phases, G1, M, S, and G2, occurring in a well-defined temporal order. Details of the mechanisms involved are rapidly emerging and appear extraordinarily complex. Furthermore, not only is the order of the phases important, but in normal eukaryotic cells one phase will not begin unless the prior phase is completed successfully. Che- point control mechanisms are essentially surveillance systems that monitor the events in each phase, and assure that the cell does not progress prematurely to the next phase. If conditions are such that the cell is not ready to progress—for example, because of incomplete DNA replication in S or DNA damage that may interfere with chromosome segregation in M—a transient delay in cell cycle progression will occur. Once the inducing event is properly handled— for example, DNA replication is no longer blocked or damaged DNA is repaired—cell cycle progression continues. Checkpoint controls have recently been the focus of intense study by investigators interested in mechanisms that regulate the cell cycle. Furthermore, the relationship between checkpoint c- trol and carcinogenesis has additionally enhanced interest in these cell cycle regulatory pathways. It is clear that cancer cells often lack these checkpoints and exhibit genomic instability as a result. Moreover, several tumor suppressor genes participate in checkpoint control, and alterations in these genes are as- ciated with genomic instability as well as the development of cancer.
Author: Frederick Owen Fields
Publisher:
ISBN:
Category :
Languages : en
Pages : 558
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Author: James R. Piggott
Publisher:
ISBN:
Category :
Languages : en
Pages :
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![Genetic and Molecular Analysis of Cell-division-cycle Mutations in the Yeast Saccharomyces Cerevisiae [microform] PDF](https://books.google.com/books/content/images/frontcover/kPVXzwEACAAJ?fife=w80-h100)
Author: Hanic-Joyce, Pamela Jane
Publisher: National Library of Canada
ISBN: 9780315331211
Category :
Languages : en
Pages : 0
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