Bach et al. find that loss of the tumour suppressor BRCA1 may drive the development of triple negative breast cancer through inducing aberrant alveolar differentiation of luminal progenitor cells.

Yoshida, Gowers et al. examined somatic mutations in normal lung epithelium to better understand the effects of tobacco smoking, and stopping smoking, on normal tissue biology and how these effects relate to lung cancer development.

Ligorio, Sil et al. used a combination of single-cell RNA and proteomic techniques in both model systems and human pancreatic ductal adenocarcinomas (PDACs) to better understand the interplay between cancer cells and fibroblasts, and the implications of this for PDAC progression.

Four papers report that cancer cells with microsatellite instability, which arises owing to defects in DNA mismatch repair, are selectively vulnerable to knockout of WRN, a RecQ family DNA helicase that could potentially be targeted with small molecules.

In a study published in Nature , Messal, Alt et al. report the use of a new imaging technique that has shed light on the morphology of developing tumours within pancreatic ducts.

Organization is a key part of the research process. After all, what good are amazing discoveries and brilliant writing if deadlines are constantly being missed. This is especially important for junior faculty and beginning researchers, who may not have the established body of work that can engender forgiveness and extensions for better-known, experienced researchers. This chapter will explore cloud-based organization tools, ranging from the conceptually simple, such as web-based calendars, to more complex project management tools such as Basecamp and Trello. It will also discuss robust to-do list applications, such as Remember the Milk, Google Tasks, and Asana. The productivity subculture around OS X will also be explored. The chapter will also provide a framework for how to think about productivity tools and what qualities users might wish to consider when evaluating a tool.

Shafferet al. analysed resistance in melanoma at the single-cell level and found that non-genetic, transcriptional variability in rare cells can predict the eventual emergence of drug resistance.