Identification and Analysis of Saccharomyces Cerevisiae Genes that Affect Cell Cycle when Overexpressed PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Identification and Analysis of Saccharomyces Cerevisiae Genes that Affect Cell Cycle when Overexpressed PDF full book. Access full book title Identification and Analysis of Saccharomyces Cerevisiae Genes that Affect Cell Cycle when Overexpressed by Lauren Frances Stevenson. Download full books in PDF and EPUB format.
Author: Lauren Frances Stevenson
Publisher:
ISBN:
Category : Saccharomyces cerevisiae
Languages : en
Pages : 442
Get Book Here
Book Description
Author: Lauren Frances Stevenson
Publisher:
ISBN:
Category : Saccharomyces cerevisiae
Languages : en
Pages : 442
Get Book Here
Book Description
Author: Christian Josef Hubert Hofmann
Publisher:
ISBN:
Category :
Languages : en
Pages : 420
Get Book Here
Book Description
Author: Joseph Paul Ogas
Publisher:
ISBN:
Category : Gene expression
Languages : en
Pages : 540
Get Book Here
Book Description
Author: Anita Sil
Publisher:
ISBN:
Category : Cell division
Languages : en
Pages : 468
Get Book Here
Book Description
Author: Jian Zou
Publisher:
ISBN: 9780494591727
Category :
Languages : en
Pages : 330
Get Book Here
Book Description
In the budding yeast Saccharomyces cerevisiae, the G1-specific cyclin-dependent kinases (Cdks) Cln1-, Cln2-Cdc28 and Pcl1-, Pcl2-Pho85 are essential for ensuring that DNA replication and cell division are properly linked to cell polarity and bud morphogenesis. However, like most genes in S. cerevisiae, individual cyclin genes are not required for viability, and the phenotypes associated with deletion of any single cyclin gene tend to be subtle. My goal was to dissect the cellular roles of the G1 cyclins by systematically identifying their genetic interactions. To do this, I conducted Synthetic Genetic Array (SGA) screens using strains deleted for different combinations of cyclin genes. The results of screens with strains deleted for the G1 cyclin pairs, CLN1, CLN2, or PCL1, PCL2, confirmed a role for these cyclins in cell polarity regulation and identified novel G1 Cdk substrates, which I examined in more detail.One cell polarity regulator that showed an interesting pattern of genetic interactions with G1 cyclins was BNI1, which encodes a yeast formin protein. Overexpression of BNI1 caused an Synthetic Dosage Lethal interaction in the absence of both G1 cyclin pairs while its deletion caused synthetic lethality specifically in the absence of PCL1, PCL2. Consistent with these genetic interactions, phosphorylation of Bni1 was partially dependent on CLN1, CLN2. It has been proposed that Bni1 is regulated by intramolecular interactions. In an effort to discover how phosphorylation might affect Bni1 function, I developed assays to test for intramolecular interactions. In my experiments I found no evidence that Bni1 is regulated by intramolecular binding, as was proposed from parallels with its mouse homolog mDia1.I also found that deletion of BNI4, which encodes an adaptor protein that targets several proteins to the bud neck, results in severe growth defects in the absence of the Cdc28 cyclins Cln1 and Cln2, and overexpression of BNI4 was toxic in yeast cells lacking the Pho85 cyclins Pcl1 and Pcl2. I discovered that Bni4 was phosphorylated by Pcl1- and Pcl2-Pho85 in vitro and that phosphorylation of Bni4 was dependent on PCL1 and PCL2 in vivo. Further analysis showed that phosphorylation of Bni4 by Pcl-Pho85 is necessary for its localization to bud neck, and the bud neck structure can be disrupted by overexpressing BNI4 in pcl1Deltapcl2Delta mutant cells. I propose that if Bni4 cannot be regulated by phosphorylation, it may titrate away an essential component that resides at the bud neck, thus causing catastrophic morphogenesis defects. The relationship between G1 Cdk activity and the polarity regulator Bni4 serves as a bridge to link the cell cycle machine to the regulation of cell.
Author: Benzecri
Publisher: CRC Press
ISBN: 058536303X
Category : Mathematics
Languages : en
Pages : 684
Get Book Here
Book Description
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: KATHLEEN CORRADO
Publisher:
ISBN:
Category :
Languages : en
Pages : 194
Get Book Here
Book Description
the germinated spores display no obvious terminal phenotype.
Author: Benjamin Thomas Grys
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
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: Heike Laman
Publisher:
ISBN:
Category :
Languages : en
Pages : 288
Get Book Here
Book Description
Author: Alan Edward Alex
Publisher:
ISBN:
Category : Bioinformatics
Languages : en
Pages : 130
Get Book Here
Book Description
