The scientists used their method, called PS-ChAP, to gain insight into cellular phosphorylation signaling pathways in chromatin down to the gene level.
The researchers said that long non-coding RNAs showed more specificity to different cancer types than protein-coding genes, making them important, precise biomarkers.
The funding will be used to investigate the role of long, non-coding RNAs in both the normal development and stress responses of various plant species.
With data for almost 31,500 women, researchers uncovered regions of BRCA1 and BRCA2 where mutations most closely correlated with breast or ovarian cancer diagnoses.
The technique, protein interaction profile sequencing, can capture both the pattern of protein-RNA binding sites and the larger structure of nuclear or other transcripts.
In PNAS this week: links between lung adenocarcinoma and lncRNA, algorithm to impute and cluster Hi-C interaction profiles from single cells, and more.
