Biology subjects

Hansen, J. L.

Publications and source records attributed to Hansen, J. L..

7 recordsLinked to original sources

bioRxiv2023

A neuronal relay mediates muscle-adipose communication that drives systemic metabolic adaptation to high-sugar diets

Obesity leads to impaired insulin signaling and tissue sensitivity, which drive the onset of type 2 diabetes. Insulin resistance leads to a reduction in cellular glucose uptake, resulting in elevated blood glucose levels, which consequently cause {beta}-cell dysfunction and development of diabetes. Although improving insulin signaling is a key target for restoring whole-body glucose homeostasis and reversing diabetes, the multi-organ mechanisms that regulate insulin signaling and tissue sensitivity are poorly defined. We screened the secretome and receptome in Drosophila to identify the underlying interorgan hormonal crosstalk affecting diet-induced insulin resistance and obesity. We identified complex interplay between muscle, neuronal, and fat tissues, mediated by the conserved BMP and LGR signaling pathways, which augments insulin signaling and improves dietary sugar tolerance. We found that muscle-derived BMP signaling is induced by sugar and governs neuronal Bursicon signaling. Acting through its LGR-family receptor, Bursicon both enhances insulin secretion and improves insulin sensitivity in adipose tissue, thereby preventing sugar-induced hyperglycemia. Inhibition of Bursicon-LGR signaling in adipose tissue exacerbates sugar-induced insulin resistance, and we discovered that this condition could be alleviated by suppressing NF-{kappa}B signaling. Our findings identify a muscle-neuronal-fat tissue axis that drives metabolic adaptation to high-sugar conditions by modulating insulin secretion and adipocyte insulin sensitivity, highlighting mechanisms that may be exploited for the development of strategies for the treatment and reversal of insulin resistance.

physiology↗

bioRxiv2023

Comparative electric and ultrastructural studies of cable bacteria reveal new components of conduction machinery

Cable bacteria encompass at least two genera, and they are known to vary greatly in habitat preferences and filament thickness. We systematically investigated variations and similarities in cellular structures and electrical properties of different cable bacteria strains. Using SEM, TEM, STEM-EDX and ToF-SIMS, we characterized shared features of cable bacteria, such as inner and outer membranes, surface layer and cell junction architecture, as well as strain specific features, like the number and size of periplasmic conductive fibers (PCFs). Our data indicates that the PCFs are organized as loose stranded rope-like structures. With spatially resolved elemental analysis we detected nickel-containing co-factors within the PCF of cable bacteria strains in both genera suggesting a conserved conduction mechanism. Electrical conductivity of different cable bacteria strains showed a range of values covering three orders of magnitude indicating an unknown metabolic adaptation. Using cryogenic electron tomography we discovered multiple polar chemosensory arrays, abundant cytoplasmic inner membrane-attached vesicles (IMVs), polysomes and inner membrane invaginations that shed light on cable bacteria metabolism including complex motility control mechanisms, localized protein synthesis, and membrane remodeling. We propose that the IMVs discovered in this work are novel metabolic hubs closely connected to the unique conductive fiber structure of cable bacteria.

microbiology↗

bioRxiv2022

Plant architecture is correlated with variation in cannabinoid concentration and biomass production in Cannabis sativa

Cannabis sativa is cultivated for multiple uses including the production of cannabinoids. In developing improved production systems for high-cannabinoid cultivars, scientists and cultivators must consider the optimization of complex and interacting sets of morphological, phenological, and biochemical traits, which have historically been shaped by natural and anthropogenic selection. Determining factors that modulate cannabinoid variation within and among genotypes is fundamental to developing efficient production systems and understanding the ecological significance of cannabinoids. Thirty-two high-cannabinoid hemp cultivars were characterized for traits including flowering date and shoot-tip cannabinoid concentration. Additionally, a set of plant architecture traits, as well as wet, dry, and stripped inflorescence biomass were measured at harvest. One plant per plot was partitioned post-harvest to quantify intra-plant variation in inflorescence biomass production and cannabinoid concentration. Some cultivars showed intra-plant variation in cannabinoid concentration, while many had a consistent concentration regardless of canopy position. There was both intra- and inter-cultivar variation in architecture that correlated with intra-plant distribution of inflorescence biomass, and concentration of cannabinoids sampled from various positions within a plant. These relationships among morphological and biochemical traits will inform future decisions by cultivators, regulators, and plant breeders as well as our broader understanding of intra-plant variation of specialized biochemicals. HighlightIn-season hemp plant architecture measurements can predict post-harvest traits related to the distribution of biomass and concentration of cannabinoids.

plant biology↗

bioRxiv2022

A quantitative metric of pioneer activity reveals that HNF4A has stronger in vivo pioneer activity than FOXA1

We and others have suggested that pioneer activity-a transcription factors (TFs) ability to bind and open inaccessible loci-is not a qualitative trait limited to a select class of pioneer TFs. We hypothesize that most TFs display pioneering activity that depends on the TF concentration and the motif content at their target loci. Here we present a quantitative measure of pioneer activity that captures the relative difference in a TFs ability to bind accessible versus inaccessible DNA. The metric is based on experiments that use CUT&Tag to measure binding of doxycycline (dox) inducible TFs. For each location across the genome we determine a "dox50," the concentration of dox required for a TF to reach half-maximal occupancy. We propose that the ratio of a TFs average dox50 between ATAC-seq labeled inaccessible and accessible binding sites, its {Delta}dox50, is a measure of its pioneer activity. We measured {Delta}dox50s for the endodermal TFs FOXA1 and HNF4A and show that HNF4A has a smaller {Delta}dox50 than FOXA1, suggesting that HNF4A has stronger pioneer activity than FOXA1. We further show that FOXA1 binding sites with more copies of its motif have a lower {Delta}dox50, suggesting that strong motif content may compensate for weak pioneer activity. The quantitative analysis of binding suggests different modes of binding for FOXA1, including an anti-cooperative mode of binding at certain accessible loci. Our results suggest that {Delta}dox50s, or other similar measures that assess the difference in TF affinity for inaccessible and accessible DNA, are reasonable measures of pioneer activity.

genomics↗

bioRxiv2021

A Test of the Pioneer Factor Hypothesis

The Pioneer Factor Hypothesis (PFH) states that pioneer factors (PFs) are a subclass of transcription factors (TFs) that bind to and open inaccessible sites and then recruit non-pioneer factors (nonPFs) that activate batteries of silent genes. We tested the PFH by expressing the endodermal PF FoxA1 and nonPF Hnf4a in K562 lymphoblast cells. While co-expression of FoxA1 and Hnf4a activated a burst of endoderm-specific gene expression, we found no evidence for functional distinction between these two TFs. When expressed independently, both TFs bound and opened inaccessible sites, activated endodermal genes, and "pioneered" for each other, although FoxA1 required fewer copies of its motif to bind at inaccessible sites. A subset of targets required both TFs, but the mode of action at these targets did not conform to the sequential activity predicted by the PFH. From these results we propose an alternative to the PFH where "pioneer activity" depends not on the existence of discrete TF subclasses, but on TF binding affinity and genomic context.

genomics↗

bioRxiv2020

Mig6 decreases hepatic EGFR activation and survival during saturated fatty acid-induced endoplasmic reticulum stress

Hyperlipidemia associated with obesity and type 2 diabetes (T2D) promotes excess hepatic lipid storage (steatosis) and endoplasmic reticulum (ER) stress, thereby reducing hepatic cell proliferation and survival. An important receptor tyrosine kinase controlling liver proliferation and survival is the epidermal growth factor receptor (EGFR). EGFR expression and activation are decreased during steatosis in humans and several animal models of obesity. Therefore, restoring EGFR activation in obesity-induced ER stress and diabetes could restore the livers capacity for survival and regeneration. As an inducible feedback inhibitor of EGFR activity, mitogen-inducible gene 6 (Mig6) is a novel target for enhancing EGFR signaling during diet-induced obesity (DIO) and T2D. Thus, we hypothesized hepatic ER stress induces Mig6 expression and decreases EGFR activation during DIO and diabetes. We identified that Mig6 expression was increased during obesity-induced insulin resistance in C57Bl/6J mice fed a high fat diet. We also discovered that both pharmacological- and fatty acid-driven ER stress increased Mig6 expression and decreased EGF-mediated EGFR activation in primary rat hepatocytes and cell lines. Furthermore, siRNA-mediated Mig6 knockdown restored EGFR signaling and reduced caspase 3/7 activation during ER stress. Therefore, we conclude Mig6 is increased during ER stress in DIO, thereby reducing EGFR activation and enhancing cell death. The implications are the induction of Mig6 during DIO and diabetes may decrease hepatocyte survival, thus hindering cellular repair and regenerative mechanisms.

physiology↗

bioRxiv2018

A fat-tissue sensor couples growth to oxygen availability by remotely controlling insulin secretion

Organisms adapt their metabolism and growth to the availability of nutrients and oxygen, which are essential for normal development. This requires the ability to sense these environmental factors and respond by regulation of growth-controlling signals, yet the mechanisms by which this adaptation occurs are not fully understood. To identify novel growth-regulatory mechanisms, we conducted a global RNAi-based screen in Drosophila for size differences and identified 89 positive and negative regulators of growth. Among the strongest hits was the FGFR homologue breathless necessary for proper development of the tracheal airway system. Breathless deficiency results in tissue hypoxia (low oxygen), sensed primarily in this context by the fat tissue. The fat, in response, relays this information through release of one or more humoral factors that remotely inhibit insulin secretion from the brain, thereby restricting systemic growth. Thus our findings show that the fat tissue acts as an oxygen sensor that allows the organism to reduce its growth in adaptation to limited oxygen conditions.

developmental biology↗