Next Generation Sequencing (NextGen Seq)

Allele’s SBIR Grant to Develop All-RNA CRISPR

Precise engineering of the genomes of mammalian cells enabled biological and medical applications researchers had dreamed of for decades. Recent developments in the stem cell field have created even more excitement for genetically modifying genomes because it enables delivering more beneficial stem cell-derived therapeutic cells to patients [1]. For instance, by correcting a gene mutation known to be critical to Parkinson’s disease, LRRK2 G2019S, in patient-specific iPSCs (induced pluripotent stem cells), it appeared possible to rescue neurodegenerative phenotypes [2].

Significant amount of fund and energy had been invested in technologies such as ZFN and TALEN, however, judging from the explosion of publications and business activities in just about 2 years since the illustration of its mechanism (just today, Jan 8th, 2015, Novartis announced CRISPR collaborations with Intellia, Caribou, applying it in CAR T cell and HSCs), the CRISPR/cas system is the rising star. This system uses a guide RNA to direct the traffic of a single nuclease towards different targets on a chromosome to alter DNA sequence through cutting. The nuclease, cas9, can be mutated from a double-stranded DNA endonuclease to a single-strand cutter or a non-cutting block, or further fused to various functional domains such as a transcription activation domain. This system can also be used to edit RNA molecules.

A weak spot on the sharp blade of CRISPR is, like any methods for creating loss-of-function effects (RNAi if you remember), the potential of off-target effects. While they can never be completely avoided, with the ever growing popularity of deep sequencing, at least we can know all unintended changes on the edited genome. Almost a perfect storm! As an interesting side story, when we at Allele Biotech first saw the paper in Science describing the CIRPSR/cas system [3], we immediately wrote an SBIR grant application for applying the bacterial system to mammalian cells. The first round of review in December 2012 concluded that it would not work due to eukaryotes’ compact chromatin structures. Of course, the flurry of publication in early 2013, while our application was being resubmitted, proved otherwise. The good news is, Allele Biotech still received an SBIR grant from NIGMS in 2014. Unlike most of the genome editing platforms known in the literature, our goal was to build an all-RNA CRISPR/cas system, thereby with higher potency, less off-target effects, and, as a footprint-free platform, more suitable for therapeutic applications. This system will be combined with our strengths in iPSC and stem cell differentiation, fluorescent protein markers, and deep sequencing based bioinformatics to improve cell therapy and cell based assays.

1 Urnov, F.D., et al., Genome editing with engineered zinc finger nucleases. Nat Rev Genet, 2010. 11(9): p. 636-46.
2 Reinhardt, P., et al., Genetic Correction of a LRRK2 Mutation in Human iPSCs Links Parkinsonian Neurodegeneration to ERK-Dependent Changes in Gene Expression. Cell Stem Cell, 2013. 12(3): p. 354-67.
3 Jinek, M., et al., A Programmable Dual-RNA-Guided DNA Endonuclease in Adaptive Bacterial Immunity. Science, 2012.

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Combining mRNA-Mediated Phenotype Rescue and CRISPR-Created Isogenic Genome

There has been a good volume of publications on using patient-specific iPSCs for disease modeling. Among them, a recent study by Wang et al. published in Nature Medicine is unique because it not only created cardiomyocytes from both Barth Cardiomyopathy patient and wildtype samples for functional analysis, but also combined some of the most exciting new technologies to strengthen the correlation between gene change and disease.

First, functional rescue by mRNA transgene. After mRNA that encodes wild-type cardiolipin aclation enzyme encoding gene tafazzin (TAZ) was transfected into Barth iPSC-CM cells, their defects in mitochondrial functions were corrected. Second, loss of function by genome editing. When CRISPR was used to make genome changes in wildtype cells that mimicked the disease-specific mutation, we recreated the patient’s iPSC-CM phenotype in otherwise wildtype cells. Third, next generation sequencing to confirm genomic changes. And forth, the cardiomyocyte contractibility was assayed on bioengineered chips.

This paper should set an example of how patient iPSCs should be used to create disease models to the fullest extent of usefulness and reliability. We are true believers of the idea that technology development empowers the advancement of science.

“Modeling the mitochondrial cardiomyopathy of Barth syndrome with induced pluripotent stem cell and heart-on-chip technologies.” Wang, G., McCain, M.L., Yang, L., He, A., Pasqualini, F.S., Agarwal, A., Yuan, H., Jiang, D., Zhang, D., Zangi, L., Geva, J., Roberts, A.E., Ma, Q., Ding, J., Chen, J., Wang, D.Z., Li, K., Wang, J., Wanders, R.J., Kulik, W., Vaz, F.M., Laflamme, M.A., Murry, C.E., Chien, K.R., Kelley, R.I., Church, G.M., Parker, K.K., Pu, W.T. (2014) Nature Medicine, Jun;20(6):616-23. doi: 10.1038/nm.3545. Epub 2014 May 11.

The Power of Cas

Precise engineering of the genomes of higher eukaryotes can enable a variety of biological and medical applications. Targeted gene disruption, editing, and insertion can translate into the much desired freedom to generate cells or organisms bearing a desired genetic change. Recent developments in the stem cell field have created even more excitement for genetically modifying genomes because it enables delivering more beneficial stem cell-derived therapeutic cells to patients. For instance, by correcting a gene mutation known to be critical to Parkinson’s disease, LRRK2 G2019S, in patient-specific iPSCs (induced pluripotent stem cells), researchers were able to rescue neurodegenerative phenotypes [1].

Cumbersome reagent development and high costs have been major barriers to targeted genome modification using the current technologies, which include the zinc finger nuclease (ZFN) and transcription activator-like effector nuclease (TALEN). Unlike the ZFN and TALEN systems, CRISPR/cas does not require assembly of DNA pieces that encode the functional proteins every time a new sequence is to be targeted. Instead, it uses a guide RNA to direct the traffic of a nuclease complex. Five recent publications of modifying eukaryotic chromosomes showed the importance of the CRISPR/cas system [2-6], they also hinted at the ease of adapting this system in eukaryotes given that the functions of cas and the small guide RNA were described in bacteria merely few months ago [7].

The concern that the bacterial CRISPR/cas system would not access the chromatin structures of eukaryotic genome was muted as a result of recent publications; it also seems that the cas9 protein is as powerful an enzyme as one could have hoped in an endonuclease. As a matter of fact, cas9 from S. pyogenes contains 2 different single-stranded DNAse domains independent of each other, and can be mutated to change from a double-stranded DNA endonuclease to a single-strand cutter, or a non-cutting block. That’s not all, a more recent Nature publication further showed that cas9 (from another species, F. novicida), can bind to yet another small RNA and, instead of cutting chromosomal DNA, it degrades RNA, apparently through a direct cas9/RNA binding mechanism [8]. It may be chromosomal modification and RNAi rolled in one (cas9 from different genera are quite different though). One has to admire the powerful cas!

1. Reinhardt, P., et al., Genetic Correction of a LRRK2 Mutation in Human iPSCs Links Parkinsonian Neurodegeneration to ERK-Dependent Changes in Gene Expression. Cell Stem Cell, 2013. 12(3): p. 354-67.
2. Qi, L.S., et al., Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression. Cell, 2013. 152(5): p. 1173-83.
3. Mali, P., et al., RNA-guided human genome engineering via Cas9. Science, 2013. 339(6121): p. 823-6.
4. Cong, L., et al., Multiplex genome engineering using CRISPR/Cas systems. Science, 2013. 339(6121): p. 819-23.
5. Cho, S.W., S. Kim, J.M. Kim, and J.S. Kim, Targeted genome engineering in human cells with the Cas9 RNA-guided endonuclease. Nat Biotechnol, 2013. 31(3): p. 230-2.
6. Hwang, W.Y., et al., Efficient genome editing in zebrafish using a CRISPR-Cas system. Nat Biotechnol, 2013. 31(3): p. 227-9.
7. Jinek, M., et al., A Programmable Dual-RNA-Guided DNA Endonuclease in Adaptive Bacterial Immunity. Science, 2012.
8. Sampson, T.R., et al., A CRISPR/Cas system mediates bacterial innate immune evasion and virulence. Nature, 2013.

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Conducting Massively Parallel Sequencing

One of the major breakthroughs in modern biology is the development of massively parallel sequencing, also called next generation sequencing (NGS), which enabled the complete delineation of the human genome more than a decade ago. Since then many more species’ genomes have been sequenced, and the cost per genome has dropped from billions to mere thousands of dollars. New discoveries are being made as a result of the capability many research teams now possess to not only sequence chromosomal DNA, but also to identify which regions a protein of interest specifically binds (Chip-seq), analyze a whole transcriptome of a cell population under investigation (RNA-seq), or find out which RNA regions an RNA binding protein resides (CLIC-seq).

While it is inevitable that many PIs will seriously consider the inclusion of deep sequencing in their next grant proposal, it is not necessarily easy to take the first step and get their feet wet, so to speak. Knowing what format (e.g. 454 for longer reads, HighSeq for higher accuracy, or Ion Torren for bench top convenience) to use and how much to pay requires a vast amount of knowledge and experience. Even when you are done with sample prep, amplification and sequencing, to handle such massive amount of data is not trivial—transporting data alone can be a headache. A database server for storage and analysis requires another layer of expertise. There is no easy solution but to get started somehow. However, be prepared to deal with these issues.

Whether the cost on a type of next generation service is justifiable depends on whether it is required for your purposes. For example, when analyzing a person’s propensity of developing a disease by using known, disease-relevant genetic information, often times exome sequencing is sufficient. This costs anywhere between $1,000 to $3,000 with 100X coverage, significantly less than sequencing a complete genome which typically costs ~$5,000 at ~20x coverage.

High coverage sequencing of maternal blood DNA has been developed into clinically approved prenatal diagnosis of trisomy in Down’s syndrome and other chromosomal abnormalities. Transcriptome analysis helped the understanding of how reprogramming works when iPSCs are. Looking forward, with more routine use of deep sequencing we can predict with much more certainty the “off-target” effects of RNAi or cellular toxicity of chromosomal modifications enabled by ZFN, TALEN, or CRISPR. As a matter of fact, we believe that transcriptome sequencing should be required after each RNAi event to prove a specific linkage between knockdown and functions; similarly, whole genome sequencing results need to be provided after making a site directed chromosomal change in the future for high level publications.

*This blog partially resulted from discussions between Jiwu Wang and his colleagues, who are NGS experts at UCSD’s Cellular and Molecular Medicine, Moore Cancer Center, and BGI Americas.

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