Volume 15 Issue 2, February 2018

To better explore how genomes fold takes disparate fields and a love of math.

Virus stamping can target single cells in complex tissues, both in culture and in vivo.

The combination of DNA-PAINT and spinning-disk confocal microscopy makes super-resolution microscopy in whole cells affordable and easy to implement.

Cellular engineering that allows budding yeast to survive with the four core human histones opens the door to exploring the function of histone variants and their modifications.

Methylation patterns can help determine the origin of metagenomic sequences.

A computational framework enables automated annotation, analysis, and sharing of mouse brain data at single-cell resolution.

The regulome—the part of the genome that regulates function—includes noncoding RNAs with varied functions yet to be deciphered.

Based on machine learning-predicted interaction interfaces, this resource enables interpretation of genomic variants and disease mutations in light of the protein-protein interactome.

Molecular force microscopy employs a combination of fluorescence polarization microscopy and molecular tension sensors to determine the orientation of cellular forces. The technology is demonstrated for integrin-mediated forces in platelets and fibroblasts.

3DNetMod identifies nested topologically associating domains (TADs) and subTADs from Hi-C data.

GIGGLE is a genome interval search engine that enables extremely fast queries of genome features from thousands of genome annotation sets.

Proximity-based labeling represents a useful approach for mapping protein environment, but current methods for this are limited to application to cell lines. This approach is now extended to primary human tissues with a method that uses antibodies to guide proximity labeling.

Mouse tumor organoids are characterized as a model to study tumor biology and drug resistance.

Using the ORI of plasmids used in enhancer assays as the sole core promoter and inhibiting the interferon I response triggered by plasmid transfection greatly reduces false positive and negative results in single-candidate and massively parallel enhancer assays and enables genome-wide enhancer screens.