Filter
Associated Lab
- Ahrens Lab (3) Apply Ahrens Lab filter
- Aso Lab (3) Apply Aso Lab filter
- Baker Lab (5) Apply Baker Lab filter
- Betzig Lab (8) Apply Betzig Lab filter
- Branson Lab (6) Apply Branson Lab filter
- Card Lab (1) Apply Card Lab filter
- Cardona Lab (1) Apply Cardona Lab filter
- Chklovskii Lab (2) Apply Chklovskii Lab filter
- Cui Lab (2) Apply Cui Lab filter
- Darshan Lab (1) Apply Darshan Lab filter
- Dickson Lab (6) Apply Dickson Lab filter
- Druckmann Lab (1) Apply Druckmann Lab filter
- Dudman Lab (4) Apply Dudman Lab filter
- Eddy/Rivas Lab (3) Apply Eddy/Rivas Lab filter
- Egnor Lab (1) Apply Egnor Lab filter
- Fetter Lab (1) Apply Fetter Lab filter
- Fitzgerald Lab (1) Apply Fitzgerald Lab filter
- Freeman Lab (3) Apply Freeman Lab filter
- Gonen Lab (10) Apply Gonen Lab filter
- Grigorieff Lab (3) Apply Grigorieff Lab filter
- Harris Lab (2) Apply Harris Lab filter
- Heberlein Lab (2) Apply Heberlein Lab filter
- Hermundstad Lab (2) Apply Hermundstad Lab filter
- Hess Lab (5) Apply Hess Lab filter
- Jayaraman Lab (1) Apply Jayaraman Lab filter
- Ji Lab (3) Apply Ji Lab filter
- Johnson Lab (1) Apply Johnson Lab filter
- Kainmueller Lab (2) Apply Kainmueller Lab filter
- Karpova Lab (1) Apply Karpova Lab filter
- Keller Lab (8) Apply Keller Lab filter
- Lavis Lab (7) Apply Lavis Lab filter
- Lee (Albert) Lab (4) Apply Lee (Albert) Lab filter
- Leonardo Lab (4) Apply Leonardo Lab filter
- Li Lab (1) Apply Li Lab filter
- Lippincott-Schwartz Lab (12) Apply Lippincott-Schwartz Lab filter
- Liu (Zhe) Lab (4) Apply Liu (Zhe) Lab filter
- Looger Lab (11) Apply Looger Lab filter
- Magee Lab (1) Apply Magee Lab filter
- Menon Lab (3) Apply Menon Lab filter
- Murphy Lab (1) Apply Murphy Lab filter
- Pavlopoulos Lab (2) Apply Pavlopoulos Lab filter
- Reiser Lab (2) Apply Reiser Lab filter
- Riddiford Lab (4) Apply Riddiford Lab filter
- Romani Lab (2) Apply Romani Lab filter
- Rubin Lab (9) Apply Rubin Lab filter
- Saalfeld Lab (1) Apply Saalfeld Lab filter
- Scheffer Lab (7) Apply Scheffer Lab filter
- Sgro Lab (1) Apply Sgro Lab filter
- Simpson Lab (2) Apply Simpson Lab filter
- Singer Lab (10) Apply Singer Lab filter
- Spruston Lab (1) Apply Spruston Lab filter
- Stern Lab (6) Apply Stern Lab filter
- Sternson Lab (5) Apply Sternson Lab filter
- Stringer Lab (1) Apply Stringer Lab filter
- Svoboda Lab (7) Apply Svoboda Lab filter
- Tebo Lab (2) Apply Tebo Lab filter
- Tervo Lab (1) Apply Tervo Lab filter
- Tillberg Lab (1) Apply Tillberg Lab filter
- Tjian Lab (4) Apply Tjian Lab filter
- Truman Lab (1) Apply Truman Lab filter
- Turaga Lab (1) Apply Turaga Lab filter
- Turner Lab (1) Apply Turner Lab filter
- Wang (Shaohe) Lab (1) Apply Wang (Shaohe) Lab filter
- Wu Lab (2) Apply Wu Lab filter
- Zlatic Lab (1) Apply Zlatic Lab filter
- Zuker Lab (1) Apply Zuker Lab filter
Associated Project Team
Publication Date
- December 2014 (35) Apply December 2014 filter
- November 2014 (14) Apply November 2014 filter
- October 2014 (15) Apply October 2014 filter
- September 2014 (17) Apply September 2014 filter
- August 2014 (14) Apply August 2014 filter
- July 2014 (26) Apply July 2014 filter
- June 2014 (14) Apply June 2014 filter
- May 2014 (14) Apply May 2014 filter
- April 2014 (20) Apply April 2014 filter
- March 2014 (18) Apply March 2014 filter
- February 2014 (15) Apply February 2014 filter
- January 2014 (34) Apply January 2014 filter
- Remove 2014 filter 2014
Type of Publication
236 Publications
Showing 151-160 of 236 resultsTsetse flies are the sole vectors of human African trypanosomiasis throughout sub-Saharan Africa. Both sexes of adult tsetse feed exclusively on blood and contribute to disease transmission. Notable differences between tsetse and other disease vectors include obligate microbial symbioses, viviparous reproduction, and lactation. Here, we describe the sequence and annotation of the 366-megabase Glossina morsitans morsitans genome. Analysis of the genome and the 12,308 predicted protein-encoding genes led to multiple discoveries, including chromosomal integrations of bacterial (Wolbachia) genome sequences, a family of lactation-specific proteins, reduced complement of host pathogen recognition proteins, and reduced olfaction/chemosensory associated genes. These genome data provide a foundation for research into trypanosomiasis prevention and yield important insights with broad implications for multiple aspects of tsetse biology.
The eukaryotic genome is highly organized in the nucleus. Genes can be localized to specific nuclear compartments in a manner reflecting their activity. A plethora of recent reports has described multiple levels of chromosomal folding that can be related to gene-specific expression states. Here we discuss studies designed to probe the causal impact of genome organization on gene expression. The picture that emerges is that of a reciprocal relationship in which nuclear organization is not only shaped by gene expression states but also directly influences them.
We report learning-related structural plasticity in layer 1 branches of pyramidal neurons in the barrel cortex, a known site of sensorimotor integration. In mice learning an active, whisker-dependent object localization task, layer 2/3 neurons showed enhanced spine growth during initial skill acquisition that both preceded and predicted expert performance. Preexisting spines were stabilized and new persistent spines were formed. These findings suggest rapid changes in connectivity between motor centers and sensory cortex guide subsequent sensorimotor learning.
Axonal branching allows a neuron to connect to several targets, increasing neuronal circuit complexity. While axonal branching is well described, the mechanisms that control it remain largely unknown. We find that in the Drosophila CNS branches develop through a process of excessive growth followed by pruning. In vivo high-resolution live imaging of developing brains as well as loss and gain of function experiments show that activation of Epidermal Growth Factor Receptor (EGFR) is necessary for branch dynamics and the final branching pattern. Live imaging also reveals that intrinsic asymmetry in EGFR localization regulates the balance between dynamic and static filopodia. Elimination of signaling asymmetry by either loss or gain of EGFR function results in reduced dynamics leading to excessive branch formation. In summary, we propose that the dynamic process of axon branch development is mediated by differential local distribution of signaling receptors. DOI: http://dx.doi.org/10.7554/eLife.01699.001.
Light-sheet fluorescence microscopy is able to image large specimens with high resolution by capturing the samples from multiple angles. Multiview deconvolution can substantially improve the resolution and contrast of the images, but its application has been limited owing to the large size of the data sets. Here we present a Bayesian-based derivation of multiview deconvolution that drastically improves the convergence time, and we provide a fast implementation using graphics hardware.
The spatial responses of many of the cells recorded in layer II of rodent medial entorhinal cortex (MEC) show a triangular grid pattern, which appears to provide an accurate population code for animal spatial position. In layer III, V and VI of the rat MEC, grid cells are also selective to head-direction and are modulated by the speed of the animal. Several putative mechanisms of grid-like maps were proposed, including attractor network dynamics, interactions with theta oscillations or single-unit mechanisms such as firing rate adaptation. In this paper, we present a new attractor network model that accounts for the conjunctive position-by-velocity selectivity of grid cells. Our network model is able to perform robust path integration even when the recurrent connections are subject to random perturbations.
In the evolution of caste-based societies in Hymenoptera, the classical insect hormones, juvenile hormone (JH) and ecdysteroids, were co-opted into new functions. Social wasps, which show all levels of sociality and lifestyles, are an ideal group to study such functional changes. Virtually all studies on the physiological mechanisms underlying reproductive division of labor and caste functions in wasps have been done on independent-founding paper wasps, and the majority of these studies have focused on species specially adapted for overwintering. The relatively little studied tropical swarming-founding wasps of the Epiponini (Vespidae) are a diverse group of permanently social wasps, with some species maintaining caste flexibility well into the adult phase. We investigated the behavior, reproductive status, JH and ecdysteroid titers in hemolymph, ecdysteroid content of the ovary and cuticular hydrocarbon (CHC) profiles in the caste-monomorphic, epiponine wasp Polybia micans Ducke. We found that the JH titer was not elevated in competing queens from established multiple-queen nests, but increased in lone queens that lack direct competition. In queenless colonies, JH titers rose transiently in young potential reproductives upon challenge by nestmates, suggesting that JH may prime the ovaries for further development. Ovarian ecdysteroids were very low in workers but higher and correlated with the number of vitellogenic oocytes in the queens. Hemolymph ecdysteroid levels were low and variable in both. Profiles of P. micans CHCs reflected caste, age and reproductive status, but were not tightly linked to either hormone. These findings show a significant divergence in hormone function in swarm-founding wasps compared to independent-founding ones.
We show that a small subset of two to six subesophageal neurons, expressing the male products of the male courtship master regulator gene products fruitlessMale (fruM), are required in the early stages of the Drosophila melanogaster male courtship behavioral program. Loss of fruM expression or inhibition of synaptic transmission in these fruM(+) neurons results in delayed courtship initiation and a failure to progress to copulation primarily under visually-deficient conditions. We identify a fruM-dependent sexually dimorphic arborization in the tritocerebrum made by two of these neurons. Furthermore, these SOG neurons extend descending projections to the thorax and abdominal ganglia. These anatomical and functional characteristics place these neurons in the position to integrate gustatory and higher-order signals in order to properly initiate and progress through early courtship.
The spatiotemporal activities of astrocyte Ca(2+) signaling in mature neuronal circuits remain unclear. We used genetically encoded Ca(2+) and glutamate indicators as well as pharmacogenetic and electrical control of neurotransmitter release to explore astrocyte activity in the hippocampal mossy fiber pathway. Our data revealed numerous localized, spontaneous Ca(2+) signals in astrocyte branches and territories, but these were not driven by neuronal activity or glutamate. Moreover, evoked astrocyte Ca(2+) signaling changed linearly with the number of mossy fiber action potentials. Under these settings, astrocyte responses were global, suppressed by neurotransmitter clearance, and mediated by glutamate and GABA. Thus, astrocyte engagement in the fully developed mossy fiber pathway was slow and territorial, contrary to that frequently proposed for astrocytes within microcircuits. We show that astrocyte Ca(2+) signaling functionally segregates large volumes of neuropil and that these transients are not suited for responding to, or regulating, single synapses in the mossy fiber pathway.
How adherent and contractile systems coordinate to promote cell shape changes is unclear. Here, we define a counterbalanced adhesion/contraction model for cell shape control. Live-cell microscopy data showed a crucial role for a contractile meshwork at the top of the cell, which is composed of actin arcs and myosin IIA filaments. The contractile actin meshwork is organized like muscle sarcomeres, with repeating myosin II filaments separated by the actin bundling protein α-actinin, and is mechanically coupled to noncontractile dorsal actin fibers that run from top to bottom in the cell. When the meshwork contracts, it pulls the dorsal fibers away from the substrate. This pulling force is counterbalanced by the dorsal fibers' attachment to focal adhesions, causing the fibers to bend downward and flattening the cell. This model is likely to be relevant for understanding how cells configure themselves to complex surfaces, protrude into tight spaces, and generate three-dimensional forces on the growth substrate under both healthy and diseased conditions.