Identification of Biomarkers Controlling Cell Fate In Blood Cell
Development
- URL: http://arxiv.org/abs/2009.08296v1
- Date: Thu, 17 Sep 2020 13:43:53 GMT
- Title: Identification of Biomarkers Controlling Cell Fate In Blood Cell
Development
- Abstract summary: A blood cell lineage consists of several consecutive developmental stages from the pluri- or multipotent stem cell to a state of terminal differentiation.
Despite their importance for human biology, the regulatory pathways and gene networks that govern these differentiation processes are not yet fully understood.
Here, we present a novel hierarchical approach to identify characteristic expression peak patterns that global regulators expose along the differentiation path of cell lineages.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A blood cell lineage consists of several consecutive developmental stages
from the pluri- or multipotent stem cell to a state of terminal
differentiation. Despite their importance for human biology, the regulatory
pathways and gene networks that govern these differentiation processes are not
yet fully understood. This is in part due to challenges associated with
delineating the interactions between transcription factors (TFs) and their
target genes. A possible path forward in this issue is provided by increasingly
available expression data as a basis for linking differentiation stages and
gene activities. Here, we present a novel hierarchical approach to identify
characteristic expression peak patterns that global regulators expose along the
differentiation path of cell lineages. Based on such simple patterns, we
identify cell state-specific marker genes and extract TFs that likely drive
their differentiation. Integration of the mean expression values of
stage-specific key player genes yields a distinct peaking pattern for each
lineage that is used to identify further genes in the dataset behaving
similarly. Incorporating the set of TFs which regulate these genes incurred at
a set of stage-specific regulators controlling the biological process of cell
fate. As proof of concept, we consider two expression datasets covering key
differentiation events in blood cell formation of mice.
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