Filter
Associated Lab
- Ahrens Lab (2) Apply Ahrens Lab filter
- Aso Lab (1) Apply Aso Lab filter
- Baker Lab (2) Apply Baker Lab filter
- Betzig Lab (4) Apply Betzig Lab filter
- Bock Lab (2) Apply Bock Lab filter
- Cardona Lab (1) Apply Cardona Lab filter
- Cui Lab (2) Apply Cui Lab filter
- Dickson Lab (1) Apply Dickson Lab filter
- Druckmann Lab (1) Apply Druckmann Lab filter
- Dudman Lab (2) Apply Dudman Lab filter
- Eddy/Rivas Lab (2) Apply Eddy/Rivas Lab filter
- Egnor Lab (1) Apply Egnor Lab filter
- Fetter Lab (3) Apply Fetter Lab filter
- Gonen Lab (9) Apply Gonen Lab filter
- Grigorieff Lab (1) Apply Grigorieff Lab filter
- Harris Lab (3) Apply Harris Lab filter
- Heberlein Lab (1) Apply Heberlein Lab filter
- Hess Lab (2) Apply Hess Lab filter
- Jayaraman Lab (3) Apply Jayaraman Lab filter
- Ji Lab (1) Apply Ji Lab filter
- Karpova Lab (1) Apply Karpova Lab filter
- Keller Lab (9) Apply Keller Lab filter
- Lavis Lab (4) Apply Lavis Lab filter
- Leonardo Lab (3) Apply Leonardo Lab filter
- Looger Lab (10) Apply Looger Lab filter
- Magee Lab (3) Apply Magee Lab filter
- Menon Lab (3) Apply Menon Lab filter
- Reiser Lab (1) Apply Reiser Lab filter
- Riddiford Lab (5) Apply Riddiford Lab filter
- Rubin Lab (5) Apply Rubin Lab filter
- Scheffer Lab (3) Apply Scheffer Lab filter
- Schreiter Lab (5) Apply Schreiter Lab filter
- Spruston Lab (2) Apply Spruston Lab filter
- Stern Lab (5) Apply Stern Lab filter
- Sternson Lab (3) Apply Sternson Lab filter
- Svoboda Lab (10) Apply Svoboda Lab filter
- Tjian Lab (1) Apply Tjian Lab filter
- Truman Lab (3) Apply Truman Lab filter
- Wu Lab (3) Apply Wu Lab filter
- Zlatic Lab (2) Apply Zlatic Lab filter
Associated Project Team
Associated Support Team
Publication Date
- Remove 2012-12-31 19:00 – 2013-12-31 19:00 filter 2012-12-31 19:00 – 2013-12-31 19:00
- December 2013 (7) Apply December 2013 filter
- November 2013 (10) Apply November 2013 filter
- October 2013 (16) Apply October 2013 filter
- September 2013 (14) Apply September 2013 filter
- August 2013 (11) Apply August 2013 filter
- July 2013 (13) Apply July 2013 filter
- June 2013 (13) Apply June 2013 filter
- May 2013 (5) Apply May 2013 filter
- April 2013 (9) Apply April 2013 filter
- March 2013 (9) Apply March 2013 filter
- February 2013 (9) Apply February 2013 filter
- January 2013 (20) Apply January 2013 filter
136 Janelia Publications
Showing 31-40 of 136 resultsWe demonstrate a meaningful prospective power analysis for an (admittedly idealized) illustrative connectome inference task. Modeling neurons as vertices and synapses as edges in a simple random graph model, we optimize the trade-off between the number of (putative) edges identified and the accuracy of the edge identification procedure. We conclude that explicit analysis of the quantity/quality trade-off is imperative for optimal neuroscientific experimental design. In particular, identifying edges faster/more cheaply, but with more error, can yield superior inferential performance.
A variant Hb zeta(2)beta(s)(2) that is formed from sickle hemoglobin (Hb S; alpha(2)beta(s)(2)) by exchanging adult alpha-globin with embryonic zeta-globin subunits shows promise as a therapeutic agent for sickle-cell disease (SCD). Hb zeta(2)beta(s)(2) inhibits the polymerization of deoxygenated Hb S in vitro and reverses characteristic features of SCD in vivo in mouse models of the disorder. When compared with either Hb S or with normal human adult Hb A (alpha(2)beta(2)), Hb zeta(2)beta(s)(2) exhibits atypical properties that include a high oxygen affinity, reduced cooperativity, a weak Bohr effect and blunted 2,3-diphosphoglycerate allostery. Here, the 1.95 angstrom resolution crystal structure of human Hb zeta(2)beta(s)(2) that was expressed in complex transgenic knockout mice and purified from their erythrocytes is presented. When fully liganded with carbon monoxide, Hb zeta(2)beta(s)(2) displays a central water cavity, a zeta 1-beta(s)2 (or zeta 2-beta(s)1) interface, intersubunit salt-bridge/hydrogen-bond interactions, C-terminal beta His146 salt-bridge interactions, and a beta-cleft, that are highly unusual for a relaxed hemoglobin structure and are more typical of a tense conformation. These quaternary tense-like features contrast with the tertiary relaxed-like conformations of the zeta 1-beta(s1) dimer and the CD and FG corners, as well as the overall structures of the heme cavities. This crystallographic study provides insights into the altered oxygen-transport properties of Hb zeta(2)beta(s)(2) and, moreover, decouples tertiary- and quaternary-structural events that are critical to Hb ligand binding and allosteric function.
The evolution of phenotypic similarities between species, known as convergence, illustrates that populations can respond predictably to ecological challenges. Convergence often results from similar genetic changes, which can emerge in two ways: the evolution of similar or identical mutations in independent lineages, which is termed parallel evolution; and the evolution in independent lineages of alleles that are shared among populations, which I call collateral genetic evolution. Evidence for parallel and collateral evolution has been found in many taxa, and an emerging hypothesis is that they result from the fact that mutations in some genetic targets minimize pleiotropic effects while simultaneously maximizing adaptation. If this proves correct, then the molecular changes underlying adaptation might be more predictable than has been appreciated previously.
A quantitative description of animal social behaviour is informative for behavioural biologists and clinicians developing drugs to treat social disorders. Social interaction in a group of animals has been difficult to measure because behaviour develops over long periods of time and requires tedious manual scoring, which is subjective and often non-reproducible. Computer-vision systems with the ability to measure complex social behaviour automatically would have a transformative impact on biology. Here, we present a method for tracking group-housed mice individually as they freely interact over multiple days. Each mouse is bleach-marked with a unique fur pattern. The patterns are automatically learned by the tracking software and used to infer identities. Trajectories are analysed to measure behaviour as it develops over days, beyond the range of acute experiments. We demonstrate how our system may be used to study the development of place preferences, associations and social relationships by tracking four mice continuously for five days. Our system enables accurate and reproducible characterisation of wild-type mouse social behaviour and paves the way for high-throughput long-term observation of the effects of genetic, pharmacological and environmental manipulations.
Animals learn both whether and when a reward will occur. Neural models of timing posit that animals learn the mean time until reward perturbed by a fixed relative uncertainty. Nonetheless, animals can learn to perform actions for reward even in highly variable natural environments. Optimal inference in the presence of variable information requires probabilistic models, yet it is unclear whether animals can infer such models for reward timing. Here, we develop a behavioral paradigm in which optimal performance required knowledge of the distribution from which reward delays were chosen. We found that mice were able to accurately adjust their behavior to the SD of the reward delay distribution. Importantly, mice were able to flexibly adjust the amount of prior information used for inference according to the moment-by-moment demands of the task. The ability to infer probabilistic models for timing may allow mice to adapt to complex and dynamic natural environments.
BACKGROUND: Drosophila melanogaster adult males perform an elaborate courtship ritual to entice females to mate. fruitless (fru), a gene that is one of the key regulators of male courtship behavior, encodes multiple male-specific isoforms (Fru(M)). These isoforms vary in their carboxy-terminal zinc finger domains, which are predicted to facilitate DNA binding. RESULTS: By over-expressing individual Fru(M) isoforms in fru-expressing neurons in either males or females and assaying the global transcriptional response by RNA-sequencing, we show that three Fru(M) isoforms have different regulatory activities that depend on the sex of the fly. We identified several sets of genes regulated downstream of Fru(M) isoforms, including many annotated with neuronal functions. By determining the binding sites of individual Fru(M) isoforms using SELEX we demonstrate that the distinct zinc finger domain of each Fru(M) isoforms confers different DNA binding specificities. A genome-wide search for these binding site sequences finds that the gene sets identified as induced by over-expression of Fru(M) isoforms in males are enriched for genes that contain the binding sites. An analysis of the chromosomal distribution of genes downstream of Fru(M) shows that those that are induced and repressed in males are highly enriched and depleted on the X chromosome, respectively. CONCLUSIONS: This study elucidates the different regulatory and DNA binding activities of three Fru(M) isoforms on a genome-wide scale and identifies genes regulated by these isoforms. These results add to our understanding of sex chromosome biology and further support the hypothesis that in some cell-types genes with male-biased expression are enriched on the X chromosome.
Glomeruli are functional units in the olfactory system. The mouse olfactory bulb contains roughly 2,000 glomeruli, each receiving inputs from olfactory sensory neurons (OSNs) that express a specific odorant receptor gene. Odors typically activate many glomeruli in complex combinatorial patterns and it is unknown which features of neuronal activity in individual glomeruli contribute to odor perception. To address this, we used optogenetics to selectively activate single, genetically identified glomeruli in behaving mice. We found that mice could perceive the stimulation of a single glomerulus. Single-glomerulus stimulation was also detected on an intense odor background. In addition, different input intensities and the timing of input relative to sniffing were discriminated through one glomerulus. Our data suggest that each glomerulus can transmit odor information using identity, intensity and temporal coding cues. These multiple modes of information transmission may enable the olfactory system to efficiently identify and localize odor sources.
An often-overlooked aspect of neural plasticity is the plasticity of neuronal composition, in which the numbers of neurons of particular classes are altered in response to environment and experience. The Drosophila brain features several well-characterized lineages in which a single neuroblast gives rise to multiple neuronal classes in a stereotyped sequence during development [1]. We find that in the intrinsic mushroom body neuron lineage, the numbers for each class are highly plastic, depending on the timing of temporal fate transitions and the rate of neuroblast proliferation. For example, mushroom body neuroblast cycling can continue under starvation conditions, uncoupled from temporal fate transitions that depend on extrinsic cues reflecting organismal growth and development. In contrast, the proliferation rates of antennal lobe lineages are closely associated with organismal development, and their temporal fate changes appear to be cell cycle-dependent, such that the same numbers and types of uniglomerular projection neurons innervate the antennal lobe following various perturbations. We propose that this surprising difference in plasticity for these brain lineages is adaptive, given their respective roles as parallel processors versus discrete carriers of olfactory information.
SUMMARY: Infernal builds probabilistic profiles of the sequence and secondary structure of an RNA family called covariance models (CMs) from structurally annotated multiple sequence alignments given as input. Infernal uses CMs to search for new family members in sequence databases and to create potentially large multiple sequence alignments. Version 1.1 of Infernal introduces a new filter pipeline for RNA homology search based on accelerated profile hidden Markov model (HMM) methods and HMM-banded CM alignment methods. This enables \~{}100-fold acceleration over the previous version and \~{}10 000-fold acceleration over exhaustive non-filtered CM searches. AVAILABILITY: Source code, documentation and the benchmark are downloadable from http://infernal.janelia.org. Infernal is freely licensed under the GNU GPLv3 and should be portable to any POSIX-compliant operating system, including Linux and Mac OS/X. Documentation includes a user’s guide with a tutorial, a discussion of file formats and user options and additional details on methods implemented in the software. CONTACT: nawrockie@janelia.hhmi.org.
In vivo imaging applications typically require carefully balancing conflicting parameters. Often it is necessary to achieve high imaging speed, low photo-bleaching, and photo-toxicity, good three-dimensional resolution, high signal-to-noise ratio, and excellent physical coverage at the same time. Light-sheet microscopy provides good performance in all of these categories, and is thus emerging as a particularly powerful live imaging method for the life sciences. We see an outstanding potential for applying light-sheet microscopy to the study of development and function of the early nervous system in vertebrates and higher invertebrates. Here, we review state-of-the-art approaches to live imaging of early development, and show how the unique capabilities of light-sheet microscopy can further advance our understanding of the development and function of the nervous system. We discuss key considerations in the design of light-sheet microscopy experiments, including sample preparation and fluorescent marker strategies, and provide an outlook for future directions in the field.