Abstract
This chapter describes a method for genome-wide identification of translationally regulated genes during embryonic stem cell differentiation using integrated transcriptome and translation state profiling. Previous attempts at identification of translationally regulated genes have focused on measuring the fractionation of the mRNA molecules in the translated and untranslated fractions without considering the transcriptional status of these genes. In this method we describe how integrating information about transcriptional and translational status of genes enables in identification of translationally regulated genes with much greater accuracy. This approach developed for microarrays can also be used for gene expression measured by next generation sequencing.
Keywords: Translationally regulated genes, human embryonic stem cell, diffrentiation, integration, transcriptome, translational state profiling, all-trans retinoic acid (ATRA).
Related Journals
Current Bioinformatics
Related Books
Advances in Biobanking Practice Through Public and Private Collaborations
Advances in Bioinformatics, Biostatistics and Omics Sciences
Better Life and Business: Cell, Brain, Mind and Sex Universal Laws
Biological Systems: Complexity and Artificial Life
Biological Models Volume Title: From Knowledge Networks to Biological Models
Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism
In Silico Lead Discovery
Primary MATLAB® for Life Sciences: Guide for Beginners
Quick Guideline for Computational Drug Design (Revised Edition)
Quick Guideline for Computational Drug Design