Science

Research Highlight: Computing tumor trees from single cells


Edith‘s OncoNEM paper made it into the Genome Biology Special Issue on Single-Cell Omics, together with a paper on a tree inference method called SCITE by Niko Beerenwinkel’s group.

If you need any more evidence that our two papers were -at least in my totally unbiased opinion- the obvious highlights of the whole Special Issue, just observe that Alexander Davis and Nick Navin chose us to write a Research Highlight about. They conclude:

SCITE and OncoNEM are innovative statistical methods that address a crucial problem in the construction of phylogenetic lineages from [single cell seq] data by using error models. These methods were shown to improve the accuracy of clonal lineages and mutational trees, as demonstrated in simulated datasets and human tumor samples.

Exactly!

Here is a quick overview of the type of trees OncoNEM and SCITE are looking at:

 

13059_2016_987_fig1_html
Figure 1 of Davis and Navin’s paper contrasts different trees: a) a phylogenetic tree, b) a clonal evolution tree like Edith and I are proposing in the OncoNEM paper, and c) a mutation tree as Niko is inferring with SCITE.

Most helpfully, Nick has also outlined our work for the next years:

Removing the infinite sites assumption will be an important next step, which has already been addressed in classical phylogenetic methods such as maximum parsimony.

Another important step will be to incorporate single-cell copy number and LOH into the tumor lineages, which can lead to missing mutations in the genotype matrix and violate the perfect phylogenies.

Another avenue of progress will be to improve the probabilistic error models. Both methods currently assume a fixed probability of error at every site, but could instead assume higher error probabilities for lower-confidence mutation calls.

Number 3 looks the easiest to me. Number 2 is what we are working on already. For Number 1 I need a bit of a think.

Interestingly, at the end of the Research Highlight Joseph Felsenstein gets acknowledged for ‘useful discussions’, so I guess he must have taken at least the briefest of looks at our stuff. And the fact that Davis and Navin still wrote a very positive review indicates to me that Felsenstein wasn’t bursting with laughter about the silly ways the cancer folks are trying to reinvent the phylogenetic wheel. That’s good news, I’d guess.

Florian

Advertisements

One thought on “Research Highlight: Computing tumor trees from single cells

You gotta talk to me!

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s