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    1. Cancer Biology
    2. Chromosomes and Gene Expression

    Loss of Kat2a enhances transcriptional noise and depletes acute myeloid leukemia stem-like cells

    Ana Filipa Domingues et al.
    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.
    1. Neuroscience

    Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain

    Ken Sugino et al.
    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.
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    Stochastic tuning of gene expression enables cellular adaptation in the absence of pre-existing regulatory circuitry

    Peter L Freddolino et al.
    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.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Multiple sources of slow activity fluctuations in a bacterial chemosensory network

    Remy Colin et al.
    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.
    1. Computational and Systems Biology
    2. Developmental Biology

    The dynamic transmission of positional information in stau- mutants during Drosophila embryogenesis

    Zhe Yang et al.
    In stau-mutants, the Hunchback boundary shifts posteriorly by 10% EL but shows comparable variability to that of the wild type in short time windows in nuclear cycle 14.
    1. Computational and Systems Biology
    2. Neuroscience

    Graphical-model framework for automated annotation of cell identities in dense cellular images

    Shivesh Chaudhary et al.
    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.
    1. Developmental Biology

    Geometric models for robust encoding of dynamical information into embryonic patterns

    Laurent Jutras-Dubé et al.
    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.
    1. Physics of Living Systems

    Adaptation of olfactory receptor abundances for efficient coding

    Tiberiu Teşileanu et al.
    A model of efficient coding by olfactory neurons explains context-dependence observed in the effect of perturbations to the olfactory environment.
    1. Computational and Systems Biology
    2. Neuroscience

    Genetic control of encoding strategy in a food-sensing neural circuit

    Giovanni Diana et al.
    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.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates

    Samuel J Modlin et al.
    Fully assembled DNA methylomes from phylogeographically diverse clinical Mycobacterium tuberculosis complex isolates reveals 'intercellular mosaic methylation' as a source of epigenetic diversity.