THESIS
2019
ix, 60 pages : illustrations (chiefly color) ; 30 cm
Abstract
Pattern formation proceeds in parallel with proliferation and growth during embryo
development. However, the precise mechanisms of how these processes are
coordinated are still unknown. The cell differentiation states are often linked with the
proliferation competency, especially in pathological contexts such as tumorigenesis.
With the development of the single cell sequencing techniques, it is now possible to
explore how the pattern formation, proliferation and growth are integrated at
individual cell level. Here we use Drosophila wing imaginal discs as an experimental
model, a classical model system in pattern formation and growth control, to study the
integration of multiple developmental processes. We have conducted single cell RNA
sequencing for the wild type and scrib hom...[
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Pattern formation proceeds in parallel with proliferation and growth during embryo
development. However, the precise mechanisms of how these processes are
coordinated are still unknown. The cell differentiation states are often linked with the
proliferation competency, especially in pathological contexts such as tumorigenesis.
With the development of the single cell sequencing techniques, it is now possible to
explore how the pattern formation, proliferation and growth are integrated at
individual cell level. Here we use Drosophila wing imaginal discs as an experimental
model, a classical model system in pattern formation and growth control, to study the
integration of multiple developmental processes. We have conducted single cell RNA
sequencing for the wild type and scrib homozygous mutant wing imaginal discs. We
have built a spatially-restricted expression gene matrix and projected single cells into
wing imaginal disc sub-regions. Importantly, this spatial restricted expression gene
matrix can also be used as a benchmark to evaluate the development progress of other
samples. We have found that the scrib homozygous mutant wing imaginal discs have
shown partial differentiation via this analysis. We have also developed methods to
cluster the cells into distinct proliferation and growth states for studying the
distribution of different proliferation and growth states of cells in various samples.
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