Expression pattern determines regulatory logic
نویسندگان
چکیده
منابع مشابه
Inferring genetic regulatory logic from expression data
MOTIVATION High-throughput molecular genetics methods allow the collection of data about the expression of genes at different time points and under different conditions. The challenge is to infer gene regulatory interactions from these data and to get an insight into the mechanisms of genetic regulation. RESULTS We propose a model for genetic regulatory interactions, which has a biologically ...
متن کاملKey Regulatory Gene Expression in Erythroleukemia Differentiation
The characteristics of cellular and molecular mechanisms associated with cell proliferation and differentiation is important to understand malignancy. In this report we characterise a leukemic model, D5A1, to study the action of differentiation agent, cellular events and gene expression of the selected transcription factors. Cells induced with 4 mM hexamethylene bisacetamide (HMBA) caused signs...
متن کاملRegulatory Logic of Pan-Neuronal Gene Expression in C. elegans
While neuronal cell types display an astounding degree of phenotypic diversity, most if not all neuron types share a core panel of terminal features. However, little is known about how pan-neuronal expression patterns are genetically programmed. Through an extensive analysis of the cis-regulatory control regions of a battery of pan-neuronal C. elegans genes, including genes involved in synaptic...
متن کاملRegulatory Divergence between Parental Alleles Determines Gene Expression Patterns in Hybrids
Both hybridization and allopolyploidization generate novel phenotypes by conciliating divergent genomes and regulatory networks in the same cellular context. To understand the rewiring of gene expression in hybrids, the total expression of 21,025 genes and the allele-specific expression of over 11,000 genes were quantified in interspecific hybrids and their parental species, Coffea canephora an...
متن کاملRegulatory architecture determines optimal regulation of gene expression in metabolic pathways.
In response to environmental changes, the connections ("arrows") in gene regulatory networks determine which genes modulate their expression, but the quantitative parameters of the network ("the numbers on the arrows") are equally important in determining the resulting phenotype. What are the objectives and constraints by which evolution determines these parameters? We explore these issues by a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2021
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0244864