Britt Adamson bringing single-cell gene expression studies to a benchtop near you

Research
Posted on May 6, 2020

By combining CRISPR-based approaches with single-cell RNA sequencing (scRNA-seq), scientists can learn a lot about what genes do and how they are controlled.  However, technical hurdles and cost concerns have hampered this approach.  New work by Assistant Professor Britt Adamson and colleagues breaks down these barriers, providing a simpler and cheaper way for scientists to reap their molecular harvest.

By disrupting the expression of a particular gene and observing how this change affects expression of other genes, researchers can learn about the cellular roles of the disrupted gene.  New technologies such as Perturb-seq offer unprecedented detail and depth of insight from such genetic disruption studies, but technical and practical hurdles have limited use of Perturb-seq.  A new study by Princeton researcher Britt Adamson, which appeared 30 March, 2020 in Nature Biotechnology aims to change that.

With colleagues at UCSF and 10x Genomics, we present several improvements to this approach, which together lay the groundwork for performing Perturb-seq screens at larger scale and with combinatorial perturbations,” says Adamson.

The first step in Perturb-seq is to perturb set of target genes. This is accomplished using one of a suite of CRISPR/Cas-based technologies. CRISPR (short for clustered regularly interspaced palindromic repeats) are stretches of DNA found in bacteria and archaea that are used by these organisms as a record of and defense against the viruses that infect them.  When bacteria are infected by a virus, they can use their CRISPR sequences to produce RNA fragments that guide CRISPR-associated (Cas) enzymes to viral genomes (DNA, or in some cases RNA). Once there, these enzymes cut up the bound genome and halt infection. Scientists have repurposed these systems for use in animal cells. For this, they use synthetic RNAs called “guides”, or sgRNAs, which can target Cas enzymes to a cell’s own DNA. There, cleavage introduces heritable mutations and disrupts targeted genes. Alternatively, scientists can employ an inactivated version of Cas that binds to target genes and prevents (CRISPRi) or enhances (CRISPRa) the gene’s expression. 

The second step in Perturb-seq is to investigate how the perturbation of targeted genes affect the pattern of other genes expressed by cells. This is done using a technique called single-cell RNA sequencing (scRNA-seq), which provides a read-out of gene expression from individual cells. In short, scRNA-seq collects and tags the molecules expressed by genes (called messenger RNAs, or mRNAs) from individual cells within a population of cells. Using computers, researchers can then read the tags attached to mRNA sequences and group together mRNA identities from each cell. This allows the researchers to evaluate gene expression profiles, called “transcriptomes,” from each cell and determine how cells are similar or different from each other. Importantly, in Perturb-seq, input cell populations carry CRISPR-based perturbations, and because sgRNAs are the key to mapping assembled transcriptomes to those perturbations, sgRNA identities must also be determined for each cell. However, sgRNAs are not captured by standard scRNA-seq methods. Therefore, to conduct Perturb-seq experiments, researchers have previously relied on methods of indirect mapping. Such methods are plagued by technical limitations.  For example, they’re difficult to use when multiple sgRNAs are delivered to each cell.

These are the problems Adamson and her collaborators, led by first author Joseph M. Replogle, wanted to solve. “We developed protocols for capturing sgRNA sequences on different scRNA-seq platforms,” explains Adamson.

These new protocols, which Replogle et al. call “direct capture Perturb-seq”, provide a way to capture and amplify sgRNAs alongside the cellular transcriptome during scRNA-seq.  Importantly, direct capture Perturb-seq allows researchers an easy way to track the presence of multiple sgRNAs in individual cells, which Replogle et al. also show can be useful for improving CRISPRi.

To demonstrate other ways in which direct-capture Perturb-seq might be applied, the authors used it to replicate and extend the results of an earlier study.  The initial study, which examined the effects of disrupting pairs of genes on cell growth, demonstrated that blocking expression of certain genes involved in cholesterol biosynthesis causes buildup of a metabolic intermediate that damages a cell’s DNA.  With direct capture Perturb-seq, Replogle et al. were able to rapidly characterize how cells respond to repression of those genes, develop a model for how cells manage the effects of that intermediate, and discover what happens to cells when they cannot. 

As a second improvement, Replogle et al. also enable mRNAs from particular genes of interest to be enriched from scRNA-seq transcriptomes, making scRNA-seq experiments like the ones described above cheaper to perform. “Together, these improvements should help researchers expand the scale of Perturb-seq experiments and better enable efforts to study how genes work,” says Adamson.

Adamson's work was funded by National Institutes of Health grants, the Defense Advanced Research Projects Agency, the Chan Zuckerberg Initiative, Howard Hughes Medical Institute, and Princeton University.