W5L2 Fri Cellular genetic Flashcards
What is cellular genetics
The study of how the global pattern of gene expression determines the cellular phenotype
Attribute that cause the complexity of gene expression
-mRNA level
-isoform
-protein level
-protein isoform
-protein modification
Truth about the molecular pathway
-We tend to think linearly. i.e. we pick out simple cause and effect pathways.
-In reality, gene regulatory interactions are massively parallel with extensive cross-talk between pathways.
=To try to predict the effect of changing levels of a gene is difficult due to the many interconnections. The genomics era is forcing us to think in a more “SYSTEMS” level view
Ontology meaning
a formal naming and definition of the types, properties, and interrelationships of the entities for a particular domain of discourse
The Gene Ontology (GO) project
Founded in 1998, the project began as a collaboration between three model organism databases, FlyBase (Drosophila), the Saccharomyces Genome Database (SGD) and the Mouse Genome Database (MGD).
-The GO project has developed three structured ontologies that describe gene products in terms of their associated:
* biological processes
* cellular components
* molecular functions
Detecting GO-term enrichment
-The set of differentially expressed genes after knockout/ knockdown can give us clues about the changes in the cell phenotype.
-look at the function of up/down regulated gene
-If the number of gene affect had similar biological process, it mean something (non random)
gene expression in individual cells
-To establish a map of pluripotent epiblast (EPI) versus primitive endoderm (PrE) (i.e. hypoblast)
-lineage segregation Ohnishi et al. (2014) carried out qPCR on individual Inner Cell Mass cells.
qPCR of 137 cells
-At this early stage only Fgf4 shows a bimodel expression pattern (i.e. cells either have it or they don’t). The other genes are stochastically expressed
-By E4.5, however, the cells have differentiated and are either expressing Fgf4 and Sox2, or Gata6 & Gata4
Cell-type discovery by transcriptome profiling of single cells
-Testing expression of genes known to be involved in these cell types was informative.
-Can we profile expression of ALL genes in many cells and deduce common patterns of gene expression?
-might be able to deduce new cell types
how to Find cell types using RNAseq
- using antibodies to identify different cell types in the developing lung
-the AT1 (alveolar type 1) cells express Pdpn, while the
AT2 (alveolar type 2) cells express Sftpc.
Interpreting gene expression arrays
-Heat map for gene expression level
- present of gene product in a cell type
-hierarchal clustering to identify groups of cells that have distinct gene expression pattern
-known marker have an expected patterns
Validating new marker genes
-generate antibodies to some of the newly identified gene and confirm if they were found in the same cells as the previously known markers
t-SNE: a tool to visualise and discover cell types
-Single cell gene expression data is can be thought of as coordinates where expression levels of each gene give a position along one axis
-Cells of the same type will have similar gene expression and will therefore be close to each other in the N-space
Nature of stem cell and medical application
Embryonic stem cells are able to self-renew (so we can culture them in vitro).
They are also pluripotent since they can give rise to the many differentiated cell types of the body (but not the extraembryonic structures).
This has huge potential
in human therapies but there are ethical issues with using human embryos.
what is induced induced Pluripotent Stem (iPS) cells
encourage other cell types to express the same genes as epiblast cells could we turn them into pluripotent stem cells