scholarly journals Cre-assisted Fine-mapping of Neural Circuits using Orthogonal Split Inteins

2019 ◽  
Author(s):  
Haojiang Luan ◽  
Alexander Kuzin ◽  
Ward F. Odenwald ◽  
Benjamin H. White
Keyword(s):  
Neural Circuits ◽  
Genetic Model ◽  
Model Organisms ◽  
Second Step ◽  
Developmental Origins ◽  
Combinatorial Method ◽  
Brain Circuits ◽  
Alternative Techniques ◽  
The Brain

Summary:Genetic methods for targeting small numbers of neurons of a specific type are critical for mapping the brain circuits underlying behavior. Existing methods can provide exquisite targeting precision in favorable cases, but for many cases alternative techniques will be required. Here, we introduce a new step-wise combinatorial method for sequentially refining neuronal targeting: Depending on the restriction achieved at the first step, a second step can be easily implemented to further refine expression. For both steps, the new method relies on two independent intersections. The primary intersection targets neurons based on their developmental origins (i.e. lineage) and terminal identities, while the second intersection limits the number of lineages represented in the primary intersection by selecting lineages with overlapping activity of two distinct enhancers during neurogenesis. Our method relies critically on two libraries of 134 transgenic fly lines that express fragments of a split Cre recombinase under the control of distinct neuroblast enhancers. The split Cre fragments are fused to non-interacting pairs of split inteins, which ensure reconstitution of full-length and active Cre when all fragments are expressed in the same cell. Our split Cre system, together with its open source libraries, represent off-the-shelf components that should facilitate the targeting and characterization of brain circuits in Drosophila. Our methodology may also prove useful in other genetic model organisms.

scholarly journals Cytokinesis in Eukaryotes

2002 ◽  
Vol 66 (2) ◽  
pp. 155-178 ◽  
Author(s):  
David A. Guertin ◽  
Susanne Trautmann ◽  
Dannel McCollum
Keyword(s):  
Genetic Model ◽  
Plant Cells ◽  
Complex Problem ◽  
Model Organisms ◽  
Animal Cells ◽  
Contractile Ring ◽  
Daughter Cells ◽  
Intense Research

SUMMARY Cytokinesis is the final event of the cell division cycle, and its completion results in irreversible partition of a mother cell into two daughter cells. Cytokinesis was one of the first cell cycle events observed by simple cell biological techniques; however, molecular characterization of cytokinesis has been slowed by its particular resistance to in vitro biochemical approaches. In recent years, the use of genetic model organisms has greatly advanced our molecular understanding of cytokinesis. While the outcome of cytokinesis is conserved in all dividing organisms, the mechanism of division varies across the major eukaryotic kingdoms. Yeasts and animals, for instance, use a contractile ring that ingresses to the cell middle in order to divide, while plant cells build new cell wall outward to the cortex. As would be expected, there is considerable conservation of molecules involved in cytokinesis between yeast and animal cells, while at first glance, plant cells seem quite different. However, in recent years, it has become clear that some aspects of division are conserved between plant, yeast, and animal cells. In this review we discuss the major recent advances in defining cytokinesis, focusing on deciding where to divide, building the division apparatus, and dividing. In addition, we discuss the complex problem of coordinating the division cycle with the nuclear cycle, which has recently become an area of intense research. In conclusion, we discuss how certain cells have utilized cytokinesis to direct development.

scholarly journals The Functional and Neurobiological Properties of Bad Taste

2019 ◽  
Vol 99 (1) ◽  
pp. 605-663 ◽  
Author(s):  
Lindsey A. Schier ◽  
Alan C. Spector
Keyword(s):  
Neural Circuits ◽  
Mammalian Brain ◽  
Gustatory System ◽  
Biologically Relevant ◽  
Neural Architecture ◽  
Technological Advances ◽  
Close Relationship ◽  
The Brain ◽  
Experimental Strategies

The gustatory system serves as a critical line of defense against ingesting harmful substances. Technological advances have fostered the characterization of peripheral receptors and have created opportunities for more selective manipulations of the nervous system, yet the neurobiological mechanisms underlying taste-based avoidance and aversion remain poorly understood. One conceptual obstacle stems from a lack of recognition that taste signals subserve several behavioral and physiological functions which likely engage partially segregated neural circuits. Moreover, although the gustatory system evolved to respond expediently to broad classes of biologically relevant chemicals, innate repertoires are often not in register with the actual consequences of a food. The mammalian brain exhibits tremendous flexibility; responses to taste can be modified in a specific manner according to bodily needs and the learned consequences of ingestion. Therefore, experimental strategies that distinguish between the functional properties of various taste-guided behaviors and link them to specific neural circuits need to be applied. Given the close relationship between the gustatory and visceroceptive systems, a full reckoning of the neural architecture of bad taste requires an understanding of how these respective sensory signals are integrated in the brain.

Central Neural Circuits Regulating Maternal Behavior in Nonhuman Mammals

2020 ◽  
pp. 99-163
Author(s):  
Michael Numan
Keyword(s):  
Maternal Behavior ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Virgin Female ◽  
Dopamine System ◽  
Mesolimbic Dopamine System ◽  
Brain Circuits ◽  
Maternal Motivation ◽  
Maternal Responses ◽  
The Brain

Chapter 5 reviews the brain circuits that regulate maternal behavior in nonhuman mammals. The medial preoptic area (MPOA) is essential for both the onset and maintenance of maternal behavior. Hormones and oxytocin act on the MPOA to stimulate the onset of maternal behavior. The neurotransmitters contained within MPOA neurons that may regulate maternal behavior are described, as are several neural inputs to the MPOA that regulate its output. A defensive neural circuit that inhibits maternal behavior in most virgin female mammals is described. MPOA output stimulates maternal behavior by depressing the defensive circuit while also activating neural circuits that underpin maternal motivation. MPOA output to the mesolimbic dopamine system is essential for appetitive maternal responses, while its output to the periaqueductal gray regulates consummatory responses. Synaptic plasticity within the MPOA-to-mesolimbic DA circuit is involved in the development of an enduring mother–infant bond.

scholarly journals Molecular characterization of frog vocal neurons using constellation pharmacology

2020 ◽  
Author(s):  
Ryota Thomas Inagaki ◽  
Shrinivasan Raghuraman ◽  
Kevin Chase ◽  
Theresa Steele ◽  
Erik Zornik ◽  
...  
Keyword(s):  
Genetic Model ◽  
Ex Vivo ◽  
Model Organism ◽  
Neuronal Cell ◽  
Model Organisms ◽  
Neural Basis ◽  
Specific Expression ◽  
Vocal Production ◽  
Similar Frequency

Identification and characterization of neuronal cell classes in motor circuits are essential for understanding the neural basis of behavior. It is a challenging task, especially in a non-genetic model organism, to identify cell-specific expression of functional macromolecules. Here, we performed constellation pharmacology, calcium imaging of dissociated neurons to pharmacologically identify functional receptors expressed by vocal neurons in adult male and female African clawed frogs, Xenopus laevis. Previously we identified a population of vocal neurons called fast trill neurons (FTNs) in the amphibian parabrachial nucleus (PB) that express NMDA receptors and GABA and/or glycine receptors. Using constellation pharmacology, we identified four cell classes of putative fast trill neurons (pFTNs, responsive to both NMDA and GABA/glycine applications). We discovered that some pFTNs responded to the application of substance P (SP), acetylcholine (ACh), or both. Electrophysiological recordings obtained from FTNs using an ex vivo preparation verified that SP and/or ACh depolarize FTNs. Bilateral injection of ACh, SP, or their antagonists into PBs showed that ACh receptors are not sufficient but necessary for vocal production, and SP receptors play a role in shaping the morphology of vocalizations. Additionally, we discovered that the PB of adult female X. laevis also contains all the subclasses of neurons at a similar frequency as in males, despite their sexually distinct vocalizations. These results reveal novel neuromodulators that regulate X. laevis vocal production, and demonstrate the power of constellation pharmacology in identifying the neuronal subtypes marked by functional expression of cell-specific receptors in non-genetic model organisms.

scholarly journals Cre-assisted fine-mapping of neural circuits using orthogonal split inteins

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Haojiang Luan ◽  
Alexander Kuzin ◽  
Ward F Odenwald ◽  
Benjamin H White
Keyword(s):  
Fine Mapping ◽  
Neural Circuits ◽  
Neural Circuit ◽  
Cre Recombinase ◽  
Second Step ◽  
New Approaches ◽  
Brain Circuits

Existing genetic methods of neuronal targeting do not routinely achieve the resolution required for mapping brain circuits. New approaches are thus necessary. Here, we introduce a method for refined neuronal targeting that can be applied iteratively. Restriction achieved at the first step can be further refined in a second step, if necessary. The method relies on first isolating neurons within a targeted group (i.e. Gal4 pattern) according to their developmental lineages, and then intersectionally limiting the number of lineages by selecting only those in which two distinct neuroblast enhancers are active. The neuroblast enhancers drive expression of split Cre recombinase fragments. These are fused to non-interacting pairs of split inteins, which ensure reconstitution of active Cre when all fragments are expressed in the same neuroblast. Active Cre renders all neuroblast-derived cells in a lineage permissive for Gal4 activity. We demonstrate how this system can facilitate neural circuit-mapping in Drosophila.

The glycomes of Caenorhabditis elegans and other model organisms

2002 ◽  
Vol 69 ◽  
pp. 117-134 ◽  
Author(s):  
Stuart M. Haslam ◽  
David Gems ◽  
Howard R. Morris ◽  
Anne Dell
Keyword(s):  
Caenorhabditis Elegans ◽  
Current Knowledge ◽  
Structural Data ◽  
Model Organisms ◽  
Entire Genome ◽  
C Elegans ◽  
The Face ◽  
Area Of Concern ◽  
Nematode Worm

There is no doubt that the immense amount of information that is being generated by the initial sequencing and secondary interrogation of various genomes will change the face of glycobiological research. However, a major area of concern is that detailed structural knowledge of the ultimate products of genes that are identified as being involved in glycoconjugate biosynthesis is still limited. This is illustrated clearly by the nematode worm Caenorhabditis elegans, which was the first multicellular organism to have its entire genome sequenced. To date, only limited structural data on the glycosylated molecules of this organism have been reported. Our laboratory is addressing this problem by performing detailed MS structural characterization of the N-linked glycans of C. elegans; high-mannose structures dominate, with only minor amounts of complex-type structures. Novel, highly fucosylated truncated structures are also present which are difucosylated on the proximal N-acetylglucosamine of the chitobiose core as well as containing unusual Fucα1–2Gal1–2Man as peripheral structures. The implications of these results in terms of the identification of ligands for genomically predicted lectins and potential glycosyltransferases are discussed in this chapter. Current knowledge on the glycomes of other model organisms such as Dictyostelium discoideum, Saccharomyces cerevisiae and Drosophila melanogaster is also discussed briefly.

Characterization of Ischemic Stroke in CT Images using Image Processing

2017 ◽  
Vol 7 (9) ◽  
pp. 18
Author(s):  
Amal Alzain ◽  
Suhaib Alameen ◽  
Rani Elmaki ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Ischemic Stroke ◽  
White Matter ◽  
Classification Accuracy ◽  
Ct Images ◽  
Gray Level ◽  
Level Variation ◽  
Interactive Data ◽  
The Brain ◽  
Brain Tissues

This study concern to characterize the brain tissues to ischemic stroke, gray matter, white matter and CSF using texture analysisto extract classification features from CT images. The First Order Statistic techniques included sevenfeatures. To find the gray level variation in CT images it complements the FOS features extracted from CT images withgray level in pixels and estimate the variation of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level of images. The results show that the Gray Level variation and   features give classification accuracy of ischemic stroke 97.6%, gray matter95.2%, white matter 97.3% and the CSF classification accuracy 98.0%. The overall classification accuracy of brain tissues 97.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate brain tissues names.

Implantable neural interfaces

2018 ◽  
Author(s):  
Stefano Vassanelli
Keyword(s):  
Brain Function ◽  
Large Scale ◽  
Ionic Channels ◽  
Patch Clamp Technique ◽  
Advantages And Disadvantages ◽  
Optogenetic Stimulation ◽  
Physical Interfaces ◽  
The Brain

Establishing direct communication with the brain through physical interfaces is a fundamental strategy to investigate brain function. Starting with the patch-clamp technique in the seventies, neuroscience has moved from detailed characterization of ionic channels to the analysis of single neurons and, more recently, microcircuits in brain neuronal networks. Development of new biohybrid probes with electrodes for recording and stimulating neurons in the living animal is a natural consequence of this trend. The recent introduction of optogenetic stimulation and advanced high-resolution large-scale electrical recording approaches demonstrates this need. Brain implants for real-time neurophysiology are also opening new avenues for neuroprosthetics to restore brain function after injury or in neurological disorders. This chapter provides an overview on existing and emergent neurophysiology technologies with particular focus on those intended to interface neuronal microcircuits in vivo. Chemical, electrical, and optogenetic-based interfaces are presented, with an analysis of advantages and disadvantages of the different technical approaches.

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