Histone acetyl-transferase Kat2a preserves leukemia stem cells through frequent transcriptional firing of metabolic and regulatory gene promoters and maintenance of a largely invariant self-renewal program.
A transcriptome dataset of nearly 200 genetically identified mouse neuronal cell types revealed that short low-noise homeobox transcription factors and long neuronal effector genes best distinguish neuronal cell types.
Stochastic tuning of gene expression could be a common mechanism through which eukaryotic cells adapt to challenging external environments, potentially including survival of infectious organisms within the host and adaptation of cancer cells to chemotherapy.
Single-cell FRET measurements reveal large temporal activity fluctuations within this signaling pathway in Escherichia coli, caused by stochasticity of receptor methylation combined with allosteric interactions and slow rearrangements within receptor clusters.
Unbiased and automatic annotation using structured prediction framework with efficiently built data-driven atlases is more accurate than registration-based methods for cell identifications in dense images and enables fast whole-brain analysis.
Propagation, speed and shapes of genetic waves of expression during development can be modeled by a simple interplay between two transcriptional modules (dynamic/static), which explains robustness and precision of patterning.
Building on previous work (Entchev et al, 2015), computational analyses reveal that the choice between redundant versus synergistic encoding in a gene expression code for food abundance is controlled by cross-talk and auto-regulation among TGF-beta and serotonin pathways.