Improving genome editing pipeline efficiencies with nanopipette delivery

Speaker: Dr. Andrew Seeber, Director, Cellular Assays at Transition Bio

Discover how to generate genome-edited clonal cell populations in as little as ~3 weeks using nanopipette injection.

In this webinar, you will learn:

  • The challenges associated with generating usable genome-modified clonal cell populations.
  • How nanopipette injection can cut clonal cell population generation times to as little as ~3 weeks.
  • Ways to utilize nanopipette injection in a small biotech setting.

Genome modification has become essential to most Biotechs’ research and development pipelines to produce new cell lines that convey a modification, such as a fluorescently labeled target protein, knock out of a target, or mutation of a target. 

Two general approaches are commonly used: electroporation of nuclease and nucleic acids (i.e., Cas9 RNPs) or transfection of vectors expressing nucleases, targeting nucleic acids and donor genetic material. 

One of the significant limitations of these approaches is that they take a long time to generate a usable clonal cell population due to the need for selection and population expansion, usually with some type of cell sorting. This process can often take several months.

In addition, electroporation or transfection does not work for some cell types, especially when inserting large DNA fragments such as genes encoding full-length fluorescent proteins, where correct insertion rates can drop below 0.01%. 

Nanopipette injection offers an alternative method of delivering genome-editing material, such as Cas9 RNPs with donor DNA. A major advantage of Yokogawa's SU10 nanopipette injection system is the ability to efficiently genome edit cells at a single-cell level, allowing the user to start with a clonal population. The nanopipette injection system can help generate cell lines in as little as ~3 weeks. In this webinar, you will hear my experience of the SU10 system, including my impressions and my opinion on how small biotechs can best utilize it.

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