Quantitative genetic analyses reveal remarkably broad genetic variation underlies the requirement for two critical regulatory inputs into a core embryonic gene regulatory network within one animal species.
Transcription factors form clusters independently of the presence of DNA, which regulate target genes as opposed to individual monomers, addressing a longstanding question of how transcription factors can find gene targets so quickly.
A fundamental lower-bound on memory recall precision, which declines with storage duration and number of stored items, is derived, and human performance is shown to be well-fit by this theoretical bound.
Mathematical modeling suggests that grid cells in the rodent brain use fundamental principles of number theory to maximize the efficiency of spatial mapping, enabling animals to accurately encode their location with as few neurons as possible.
Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.
Polar elongating mycobacteria (Mycobacterium smegmatis) require specific cell wall chemistries, those catalyzed by targets of critical antibiotics, to maintain rod shape at aging sites of the bacillus.