Del 0 - Methods in Molecular Biology

Yeast Systems Biology

Methods and Protocols

Häftad, Engelska, 2020

2 129 kr

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This second edition volume expands on the previous edition with a look at the latest advances in techniques to study yeast and its core set of interactions, modules, architectures, and network dynamics that are common in all eukaryotes.

Produktinformation

Utgivningsdatum2020-10-12
Mått178 x 254 x 26 mm
Vikt873 g
FormatHäftad
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor447
Upplaga2
FörlagHumana Press Inc.
ISBN9781493997381

Tillhör följande kategorier

Biologi inom Naturvetenskap och teknik

Yeast Systems Biology: The Continuing Challenge of Eukaryotic Complexity.- Capture of Ribonucleotides in Yeast Genomic DNA using Ribose-Seq.- Method for Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas9.- Ultra-High-Density Screens for Genome-Wide Yeast EMAPs in a Single Plate.- Epi-ID: Systematic and Direct Screening for Chromatin Regulators in Yeast by Barcode ChIP-Seq.- Transcript Profiling Analysis through Paired-End Ditag (PET) Approach Coupled with Deep Sequencing Revealing Transcriptome Complexity in Yeast.- RNA Sequencing Best Practices: Experimental Protocol and Data Analysis.- Advanced Methods for the Analysis of Altered Pre-mRNA Splicing in Yeast and Disease.- PAT-Seq: A Method for Simultaneous Quantitation of Gene Expression, Poly(A)-Site Selection and Poly(A) Length-Distribution in Yeast Transcriptomes.- Mapping the Saccharomyces cerevisiae Spatial Proteome with High Resolutionusing hyperLOPIT.- Data-Independent Acquisition for Yeast Glycoproteomics.- Protein-Protein Interaction Profiling in Candida albicans Revealed by Biochemical Purification-Mass Spectrometry (BP/MS).- Probing the RNA-Binding Proteome from Yeast to Man: Major Advances and Challenges.- Metabolomic Analysis of Yeast and Human Cells: Latest Advances and Challenges.- Measuring the Activity of Plasma Membrane and Vacuolar Transporters in Yeast.- Self-Establishing Communities: A Yeast Model to Study the Physiological Impact of Metabolic Cooperation in Eukaryotic Cells.- Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices.- Rational Design and Methods of Analysis for the Study of Short- and Long-Term Dynamic Responses of Eukaryotic Systems.- Genome-Scale Metabolic Modeling from Yeast to Human Cell Models of Complex Diseases: Latest Advances and Challenges.- Next-Generation Genome-Scale Models Incorporating Multilevel ‘omics Data: From Yeast to Human.- Advanced Modeling of Cellular Proliferation: Towards a Multi-Scale Framework Coupling Cell Cycle to Metabolism by Integrating Logical and Constraint-Based Models.- Yeast Genome Screening and Methods for the Discovery of Metabolism Pathways Involved in a Phenotypic Response to Anti-Cancer Agents.- Advanced Yeast Models of Familial Alzheimer Disease Expressing FAD-Linked Presenilin to Screen Mutations and g-Secretase Modulators.- From Yeast-to-Humans: Leveraging New Approaches in Yeast to Accelerate Discovery of Therapeutic Targets for Synucleinopathies.