Analysis of aggregated cell-cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells.

ABSTRACT:

Motivation

As 'omics' biotechnologies accelerate the capability to contrast a myriad of molecular measurements from a single cell, they also exacerbate current analytical limitations for detecting meaningful single-cell dysregulations. Moreover, mRNA expression alone lacks functional interpretation, limiting opportunities for translation of single-cell transcriptomic insights to precision medicine. Lastly, most single-cell RNA-sequencing analytic approaches are not designed to investigate small populations of cells such as circulating tumor cells shed from solid tumors and isolated from patient blood samples.

Results

In response to these characteristics and limitations in current single-cell RNA-sequencing methodology, we introduce an analytic framework that models transcrip

SUBMITTER: Schissler AG 

PROVIDER: S-EPMC4908332 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature