An exciting new collaborative paper between Cornell University, UC Berkeley, University of Wyoming, and OSU has just been published by the Leiboff Lab. The team used a technique called laser capture microdissection, where a computer-guided UV laser cuts out and collects groups of cells from young leaf tissue, to understand genetic programs that organize different parts of a developing leaf. 

Analyzing RNA sequences from these tissues with machine learning and network biology techniques, Leiboff and co-authors identified new groups of genes involved in making the maize leaf, candidates for improving field photosynthesis.

Find the paper published in New Phytologist here: