Development of methodology to facilitate single cell studies of structural variation, and integrating state - of - the - art microscopy methods
with single cell sequencing.
A new study
used single cell sequencing technology to provide previously unknown details about how and when CNAs impact tumor formation and growth, information that may have significant implications for diagnosis and treatment.
My PhD project (ESR 1) will focus upon the extension of our knowledge of the biodiversity of the hidden heterotrophic micro-eukaryotes using
single cell sequencing technology.
These include sophisticated chromosome engineering techniques as well as applications of large - scale RNAi and CRISPR screens to identify both driver genes and tumor - cell - specific dependencies, as well
as single cell sequencing approaches.
This led to development of newer technology,
called single cell sequencing (SCS), that has had a major impact in many areas of biology, including cancer research, neurobiology, microbiology, and immunology, and has greatly improved understanding of certain tumor characteristics in cancer.
On a similar note, the
latest single cell sequencing methods based on stochastic schemes for in situ barcoding of cells are impossible to assess with negative control samples.
Using methods such
as single cell sequencing, proteomics, and microscopy will allow exploration of this invisible and important world with great accuracy and depth.»
As a response to the growing demand for
single cell sequencing projects, in July 2016, the Single Cell Sequencing Facility at the Hubrecht Institute was founded.
Techniques broadly used are various systematic perturbations (e.g. CRISPRs, shRNAs),
single cell sequencing, ChIP - seq, and affinity - based proteomics to measure at the global and draft level scales.