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Genome-Scale Integrative Data Analysis and Modeling of Dynamic Processes in Yeast

Building a dynamic model of a complete biological cell is one of the great challenges of the 21st century. While this objective could appear unrealistic until recently, considerable improvements in high-throughput data collection techniques, computational performance, data in ...

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Noise in Biological Systems: Pros, Cons, and Mechanisms of Control

Genetic regulatory circuits are often regarded as precise machines that accurately determine the level of expression of each protein. Most experimental technologies used to measure gene expression levels are incapable of testing and challenging this notion, as they often measure l ...

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Representation, Simulation, and Hypothesis Generation in Graph and Logical Models of Biological Networks

This chapter presents a discussion of metabolic modeling from graph theory and logical modeling perspectives. These perspectives are closely related and focus on the coarse structure of metabolism, rather than the finer details of system behavior. The models have been used as backgrou ...

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Genome-Scale Metabolic Models of Saccharomyces cerevisiae

Systematic analysis of Saccharomyces cerevisiae metabolic functions and pathways has been the subject of extensive studies and established in many aspects. With the reconstruction of the yeast genome-scale metabolic (GSM) network and in silico simulation of the GSM model, the nature ...

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Fit-for-Purpose Quenching and Extraction Protocols for Metabolic Profiling of Yeast Using Chromatography-Mass Spectrometry Platforms

Metabolomics involves the investigation of the intracellular (endometabolome) and extracellular (exometabolome) pools of metabolites in biological systems. Methods to sample the exometabolome and to quench metabolism and extract intracellular metabolites for the mo ...

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ProteinProtein Interactions and Networks: Forward and Reverse Edgetics

Phenotypic variations of an organism may arise from alterations of cellular networks, ranging from the complete loss of a gene product to the specific perturbation of a single molecular interaction. In interactome networks that are modeled as nodes (macromolecules) connected by edges ...

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Protein Turnover Methods in Single-Celled Organisms: Dynamic SILAC

Early achievements in proteomics were qualitative, typified by the identification of very small quantities of proteins. However, as the subject has developed, there has been a pressure to develop approaches to define the amounts of each protein – whether in a relative or an absolute sense. A fur ...

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Enabling Technologies for Yeast Proteome Analysis

Whilst the study of yeast genomes and transcriptomes is in an advanced state, there is still much to learn about the resulting proteins in terms of cataloging, characterization of post-translational modifications, turnover, and the dynamics of sub-cellular localization and interac ...

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Yeast Systems Biology: The Challenge of Eukaryotic Complexity

In this chapter, we present an up-to-date view of the optimal characteristics of the yeast Saccharomyces cerevisiae as a model eukaryote for systems biology studies, with main molecular mechanisms, biological networks, and sub-cellular organization essentially conserved in all e ...

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The Automated Cell: Compound and Environment Screening System (ACCESS) for Chemogenomic Screening

The automated cell, compound and environment screening system (ACCESS) was developed as an automated platform for chemogenomic research. In the yeast Saccharomyces cerevisiae, a number of genomic screens rely on the modulation of gene dose to determine the mode of action of bioactive com ...

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Competition Experiments Coupled with High-Throughput Analyses for Functional Genomics Studies in Yeast

Competition experiments are an effective way to provide a measurement of the fitness of yeast strains. The availability of the Saccharomyces cerevisiae yeast knock-out (YKO) deletion collection allows scientists to retrieve fitness data for the ~6,000 S. cerevisiae genes at the same ti ...

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Nutritional Control of Cell Growth via TOR Signaling in Budding Yeast

Cell growth is highly regulated and its deregulation is related to many human diseases such as cancer. Nutritional cues stimulate cell growth through modulation of TOR (target of rapamycin) signaling pathway. At the center of this pathway is a large serine/threonine protein kinase TOR, whi ...

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Fluorescence Fluctuation Spectroscopy and Imaging Methods for Examination of Dynamic Protein Interactions in Yeast

Protein interactions are inherently dynamic. In no system is this more true and important than in signaling pathways, where spatial and temporal control of specific protein interactions is key to signaling specificity and timing. While genetic and biochemical interactions form a nec ...

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Saccharomyces cerevisiae: Gene Annotation and Genome Variability, State of the Art Through Comparative Genomics

In the early days of the yeast genome sequencing project, gene annotation was in its infancy and suffered the problem of many false positive annotations as well as missed genes. The lack of other sequences for comparison also prevented the annotation of conserved, functional sequences that we ...

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Genome-Wide Measurement of Histone H3 Replacement Dynamics in Yeast

Chromatin plays critical roles in processes governed in different timescales – responses to environmental changes require rapid plasticity, while long-term stability through multiple cell generations requires epigenetically heritable chromatin. Understanding the ...

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Genome-Wide Approaches to Studying Yeast Chromatin Modifications

The genomes of eukaryotic organisms are packaged into nuclei by wrapping DNA around proteins in a structure known as chromatin. The most basic unit of chromatin, the nucleosome, consists of approximately 146bp of DNA wrapped around an octamer of histone proteins. The placement of nucleosom ...

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Absolute and Relative Quantification of mRNA Expression (Transcript Analysis)

In this protocol, we describe a pipeline for transcript analysis in yeast via the quantification of mRNA expression levels. In the first section, we consider the well-established, proprietary Affymetrix GeneChip� approach to generating transcriptomics data. In the next section, we co ...

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Genome-Wide Transcriptome Analysis in Yeast Using High-Density Tiling Arrays

In the last decade, it became clear that transcription goes far beyond that of protein-coding genes. Most RNA molecules are transcribed from intergenic regions or introns and exhibit much variability in size, expression level, secondary structure, and evolutionary conservation. Wh ...

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Enrichment of Unstable Non-coding RNAs and Their Genome-Wide Identification

Cryptic unstable transcripts (CUTs) have been recently described as a major class of non-coding RNAs. These transcripts are, however, extremely unstable in normal cells and their analyzes pose specific technical problems. In this chapter, after a brief introduction discussing gene ...

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Polyadenylation State Microarray (PASTA) Analysis

Nearly all eukaryotic mRNAs terminate in a poly(A) tail that serves important roles in mRNA utilization. In the cytoplasm, the poly(A) tail promotes both mRNA stability and translation, and these functions are frequently regulated through changes in tail length. To identify the scope of poly ...

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