All analyses were performed on logarithmic means using SAS/STAT®

All analyses were performed on logarithmic means using SAS/STAT® software Talazoparib manufacturer (Version 9 of the SAS System for Windows, SAS Institute Inc.) and all hypotheses were tested at a two-sided 0.05 level of significance. Of the 36 dogs enrolled in the study, 21 were male and 15 were female (Placebo = 5 males and 7 females; Interceptor = 8 males and 4 females; Sentinel = 8 males and 4 females). Dogs treated with Interceptor or Sentinel received a mean milbemycin oxime dose of 0.57 ± 0.08 and 0.57 ± 0.05 mg/kg, respectively. All dogs were reported as

being over 10 months of age and the weight ranged from 4.7 to 21.3 kg two days prior to dosing (weight used to determine dose). There were no significant differences in body weights Rucaparib chemical structure between treatment groups. Breeds represented were variable and included purebred and mixed Alsatians (German Shepherds), South African Boerboels, Border Collies,

Chihuahuas, Dachshunds, Dobermans, Greyhounds, Labradors, Maltese, Ridgebacks, Rottweilers and Terriers. Adult worms other than A. braziliense that were identified during necropsy included A. caninum, Uncinaria stenocephala, Trichuris vulpis, Toxocara canis, Toxascaris leonina, Dipylidium caninum, Taenia spp. and Echinococcus granulosus. Efficacy against these parasites was consistent with label indications. Of the 12 dogs in the placebo control group, seven had more than 20 A. braziliense isolated at necropsy and 10 had more than five isolated at necropsy (range 10–100) indicating the presence of an adequate infection in the study dogs. Statistically, both milbemycin treatment groups had significantly (p < 0.0001) fewer A. braziliense isolated at necropsy when compared to the placebo control group. All surviving A. braziliense were isolated from the small intestines. The calculated efficacy based on geometric means was 98.02% for the Interceptor® group

and 94.91% for the Sentinel® group ( Table 1). Despite careful and frequent unless observations of the study animals, no adverse events, abnormal clinical observations, or abnormal health observations were observed during the study. In addition, there were no statistically significant differences in body weight change between groups. Macrocyclic lactones have excellent antihelmintic activity and have been shown to be effective against hookworm infections in dogs and cats (Anderson and Roberson, 1982, Blagburn et al., 1992, Niamatali et al., 1992, Nolan et al., 1992 and Six et al., 2000). Milbemycin oxime is a macrocyclic lactone that is efficacious against infections of A. caninum ( Blagburn et al., 1992 and Niamatali et al., 1992), but no studies have been done specifically investigating effectiveness against A. braziliense, as has been done for other compounds ( Robinson et al., 1976 and Anderson and Roberson, 1982).

described the recruitment of autophagosomes to facilitate parasit

described the recruitment of autophagosomes to facilitate parasite entry and enhance T. cruzi invasion. And intriguingly, a high expression of LC3 was observed to be induced by the parasite itself ( Romano

et al., 2009). In this study we have provided the first evidence that autophagosomes are recruited to the T. theileri PV ( Fig. 6). Given these findings, we suggest this pathway may be implicated in trypanosomatide invasion. Selleckchem JQ1 Experimentally, GFP-LC3 is a widely used and useful tool for visualizing the time-series maturation process of autophagosomes. Notably, the accumulation of GFP-LC3 puncta in vitro does not rule out the possibility that they are induced in autophagosome-independent situations such as protein aggregation and detergent treatment ( Kuma et al., 2007 and Ciechomska and Tolkovsky, 2007). Thus, direct detection of endogenous LC3 by immunostaining, and further electron microscopy analysis are preferred for monitoring autophagy. Some authors have proposed that T. cruzi is

capable of activating latent host TGF-β ( Ming et al., 1995 and Waghabi et al., 2005). Some proteases secreted by the parasite might activate latent TGF-β-associated buy Epacadostat extracellular components ( Araújo-Jorge et al., 2008). The exposure of phosphatidylserine on the surface of T. cruzi subverts the microbicidal function of macrophages by inducing the TGF-β signaling pathway, thereby favoring the survival of trypomastigotes in macrophages ( Damatta et al.,

2007). This study is the first to provide striking evidence that T. theileri induces host cell TGF-β1 expression during cell invasion. Collectively, our results support the observation that T. theileri tends to be clustered as a cell invasion trypanosome whose process is highly similar to that of T. cruzi. These findings strongly imply evolutionary conservation in cell invasion among these ancient eukaryotes. Because T. theileri is not harmful to humans, it could be a powerful model for trypanosomide cell invasion. All authors have read and approved the final manuscript. The authors declare that they have no competing interests. Y.-F.L. conceived the study, carried out the design, data acquisition and all analysis and drafted the manuscript. C.-C.C. participated in the design of the study and performed data acquisition and analysis. J.-S.C., N.-N.L. and Y.-W.H. provided the experimental facility support and participated in the statistical analysis. J.-M.W. interpreted the data and helped to draft the manuscript. W.-C.T. participated in the electron microscopy examination. K.-C.T. and Y.-T.C. participated in the conception, design and coordination of the study, and made a critical revision of the manuscript for important intellectual content. This work was support by grants from Taichung Veterans General Hospital (TCVGH -1007309C, -1006506C). Technical support provided by the hospital’s Precision Instrument Center is gratefully acknowledged.

, 2012, Harrup et al ,

, 2012, Harrup et al., click here 2013, Hill, 1947, Kettle and Lawson, 1952, Kremer, 1965, Trukhan, 1975, Zimmer et al., 2008 and Zimmer et al., 2012). The relative contribution of each of these habitats to emerging adult populations of C. obsoletus and C. scoticus is currently unknown. Control measures aimed at reducing or destroying available larval Culicoides habitats may be broadly

divided into three main categories: (1) conventional larvicidal applications; (2) biorational applications and (3) habitat modification and destruction (see Carpenter et al., 2008a for review). All of these measures require detailed knowledge of the distribution and abundance of Culicoides larval habitat, which to a great degree determines the efficacy of procedures applied ( Kettle, 1962). Larval habitat modification and eradication has historically been most effective when practiced against Culicoides with a localised distribution inhabiting CH5424802 research buy areas that can be straightforwardly manipulated in a cost-effective manner. A key example is Culicoides sonorensis Wirth and Jones, the principle vector of BTV in the USA, which primarily

develops in dairy wastewater lagoons ( Mullens, 1989, O Rourke et al., 1983, Schmidtmann et al., 1983 and Schmidtmann et al., 1998). Waste and water management strategies, focusing on the efficacy of draining water trough overflows and dairy waste water evaporation beds, have been shown to be effective for controlling C. sonorensis in certain contexts ( Jones, 1977 and Mullens and Rodriguez, 1988). Following the incursion of BTV serotype 8 (BTV-8) into northern Europe some eighteen months passed before the implementation only of inactivated vaccination schemes (Carpenter et al., 2009). During this time a range of Culicoides control techniques were recommended across affected countries as mitigation against infection with BTV ( Carpenter

et al., 2008a). In the UK the traditional method for dealing with manure and waste bedding material from livestock farms is to store it in piles ( Nicholson and Brewer, 1997), colloquially known as muck heaps ( Fig. 1). Muck heaps are usually located at a designated point on the farm property, often close to livestock housing, before being spread on fields as a natural fertiliser. Prior to the BTV-8 incursion, muck heaps had been suggested as a major development site of ruminant associated Culicoides ( Campbell and Pelham-Clinton, 1960, Harrup et al., 2013, Kettle and Lawson, 1952, Kremer, 1965 and Schwenkenbecher et al., 2009). Due to this, covering of muck heaps prior to Culicoides emergence in spring was recommended to farmers as a method to ameliorate potential BTV transmission ( Defra, 2009).

08% ± 3 39%, Figure 3D); the reduction in AMPA current was not ob

08% ± 3.39%, Figure 3D); the reduction in AMPA current was not observed in the presence of 6-iodo-capsaicin (Figures S3C and S3D). This finding was consistent with a postsynaptic locus and suggested altered membrane expression of AMPA receptors. Indeed, following capsaicin application to spinal cord slices we observed a reduction in membrane expression of AMPA receptor subunit GluR2 protein (60.4% ± 9.8%), the main AMPA subunit in the SG (Polgár et al., 2008;

Figure 3E). To examine the functional consequences of capsaicin-induced LTD in GABAergic SG interneurons, we retrogradely labeled spinothalamic tract http://www.selleckchem.com/products/SB-203580.html (STT) projection neurons by injection of 1,1′,di-octadecyl-3,3,3′3′-tetramethylindocarbocyanine perchlorate (DiI) into the ventroposterolateral (VPL) subnucleus of the thalamus (Figure 3F). Labeled neurons were located in the deep lamina of the spinal dorsal horn and showed inhibitory

postsynaptic currents (IPSCs) in response to DREZ stimulation (Figure 3F and Figure S4) that were blocked by CNQX (10 μM) and AP5 (50 μM), confirming their polysynaptic nature. The amplitude of DREZ-evoked IPSCs in STT neurons from wild-type (Wt) EGFR inhibitor and RTX-treated mice was decreased after capsaicin application, and depression of IPSCs (Wt, 56% ± 11%; RTX-treated mice, 65% ± 9%) lasted for at least 15 min (Figure 3F). The reduction in IPSC amplitude was not the result of a direct action of capsaicin

on STT neurons as TRPV1 mRNA was not detected in STT neurons by single-cell RT-PCR (Figure 3F). Together, these data suggest that activation of TRPV1 leads to depression of excitatory input to GABAergic SG interneurons by a postsynaptic mechanism involving intracellular calcium-dependent almost GluR2 internalization, thus resulting in reduced inhibitory input to STT neurons (Figure 3G). To determine whether activation of spinal TRPV1 plays a role in the development of neuropathic pain, we measured mechanical sensitivity in a chronic constriction injury (CCI) model. Accumulating mechanical hypersensitivity up to 28 days after CCI was attenuated by ∼41% in TRPV1−/− mice (Figures 4A and 4C) but not in RTX-treated mice (Figure 4B and 4C). Furthermore, spinal TRPV1 inhibition by intrathecal administration of BCTC dose-dependently alleviated chronic mechanical pain in RTX-treated mice following CCI (Figures 4D and 4E). By restricting TRPV1 blockade to the spinal cord central nervous system (CNS) using intrathecal injection, we were able to avoid the induction of hyperthermia that occurred with systemic (intravenous) administration of BCTC (Figure 4F). We have shown that activation of postsynaptic spinal TRPV1 leads to decreased functional AMPA receptor expression in GABAergic SG interneurons and thus reduced excitation of a key population of inhibitory interneurons.

; range, 20 to 40) All subjects had normal or corrected-to-norma

; range, 20 to 40). All subjects had normal or corrected-to-normal vision, provided written informed consent, and were paid for their participation in the study. The Institutional Review Board at Carnegie Mellon University

and the University of Pittsburgh KU-57788 nmr approved the experimental procedures, which were in compliance with the safety guidelines for MRI research. Autism diagnosis was established using the Autism Diagnostic Observation Schedule (ADOS) (Lord et al., 2000) and expert clinical evaluation. Full clinical details and inclusion/exclusion criteria are available in the supplementary materials (Table S1). Imaging was performed using a Siemens (Erlangen, Germany) 3T Verio MRI scanner located at the Carnegie Mellon Scientific Imaging & Brain Research Center in Pittsburgh. The scanner was equipped with a Siemens 12 channel birdcage head coil, which was used for RF transmit and receive. Blood oxygenation level-dependent (BOLD) contrast was obtained using a T2∗-sensitive echo planar imaging pulse sequence (repetition time of 1,500 ms, echo time = 30 ms, flip angle = 75°, 24 slices, 3 × 3 × 3 mm voxels, field of view = 192 mm). Anatomical volumes were acquired with a T1-weighted 3D-MPRAGE pulse sequence (1 × 1 × 1 mm). Each session included 1 or 2 runs of each sensory experiment, one resting-state Selisistat mouse experiment, and one

anatomical scan. The entire scanning session lasted between 1 and 1.5 hr. fMRI data were processed with Brain Voyager (R. Goebel, Brain Innovation, Maastricht, The Netherlands) and with custom software written in Matlab (Mathworks, Natick, MA). Preprocessing of fMRI data included 3D motion correction, temporal high-pass filtering with

a cutoff frequency of 6 cycles per run, spatial smoothing using a Gaussian kernel with 8 mm width at half height, alignment with the anatomical volume using trilinear interpolation, and transformation to the Talairach coordinate system (Talairach and Tournoux, 1988). The cortical Terminal deoxynucleotidyl transferase surface was reconstructed from the anatomical scans, separately for each subject; the procedure included segmenting the gray and white matter and inflating/flattening the gray matter for visualization. Subjects participated in three independent sensory experiments in the visual, auditory, and somatosensory domains as well as one resting-state experiment, which did not contain any stimulus or task. All three sensory experiments followed the same rapid event-related temporal structure (Figure S1), which was designed to enable assessment of response amplitude, variability, and adaptation (although adaptation results are not reported in the current paper). Each trial contained an adaptor followed by a test stimulus (Figure S1). Each run contained 12 adapted trials, 12 unadapted trials, and 12 trials of the adaptor without a test condition. Most subjects participated in two runs of each experiment.

Instead they could reflect the OFC’s contribution to signaling th

Instead they could reflect the OFC’s contribution to signaling the associative strength or learned value of the individual cues based on past experience, with neural summation occurring downstream. Additionally, there are reports that the OFC directly signals reward prediction errors (Sul et al., 2010 and Tobler et al., 2006), which could provide an independent explanation for why OFC inactivation during compound training affects learning. To resolve CHIR-99021 order these accounts, we recorded single-unit activity in

the OFC during training in a version of the above task. We reasoned that if the OFC were only representing the associative history or value of the prior cues, then firing to the cues should develop with learning and change during extinction in the probe test; however, it should not change substantially at the buy U0126 transition points where novel estimates must be generated, specifically at the point of compounding and perhaps again when the cues are separated. On the other hand, if OFC is involved

in generating these novel estimates, then some population of neurons in the OFC should increase firing spontaneously in concert with the sudden changes in behavior at these two transition points. Indeed the firing of these neurons might even predict the resultant summation and learning. We recorded single-unit activity from the OFC in 15 rats during training on a modified version of the Pavlovian overexpectation whatever task (Figure 1A). The results to be presented below came from 37 rounds of training in which we observed evidence of overexpectation; data from a handful of sessions in which we did not observe evidence of overexpectation (i.e., in which

rats presumably adopted a different strategy) are analyzed separately (see Supplemental Experimental Procedures). The Pavlovian overexpectation task was identical to that used in prior inactivation studies (Haney et al., 2010 and Takahashi et al., 2009), except that the transition points between simple conditioning and compound training and between compound training and extinction testing were compressed into two “probe” sessions. This was done to allow us to examine firing in single-units across these critical transition points, without any question as to whether we were recording from the same neurons. All other data come from sessions separated by at least a day; we will not make any claims about whether we are recording the same neurons across days (see Table 1 for a full accounting of the numbers of neurons recorded in different phases). Electrodes were implanted prior to any training (Figure 1B). After recovery from surgery, rats were food-deprived and underwent simple conditioning, during which cues were paired with flavored sucrose pellets (banana and grape, designated as O1 and O2, counterbalanced).

It will require computational models that will help us to underst

It will require computational models that will help us to understand how behavior at one level emerges from the properties of a lower level. But most critically, it will require a return to appreciating

the benefits of working on disparate animal species. Each animal has devised extraordinary and baroque circuit mechanisms that employ neuromodulation to achieve important behavioral flexibility in the context of its environment, neuronal complement, and biomechanical constraints. Baf-A1 molecular weight Many of the circuit configurations that we will uncover may be weird and specific solutions to particular needs of that species. It will only be by looking for general principles across species that we will find the more general rules that govern the robust and stable neuromodulation needed for functional circuit activity in all animals. It is impossible to do justice to even a small fraction of the papers and investigators who have contributed to the changes in conceptual framework that we have seen since these beginning days of the study of circuits and their neuromodulation. I apologize to all those whose work has given us so much and yet goes unmentioned here. I thank Dr. Marie Goeritz Selleckchem MK2206 for help with the figures. This review benefitted by support from NS17813 from the National Institutes of Health. “
“Synaptic transmission is viewed as depending

primarily on the actions of glutamate and y-aminobutyric acid (GABA), and the majority of CNS interneuronal interactions monitored electrophysiologically Mephenoxalone are driven by these two neurotransmitters. A few other neurotransmitters, such as acetylcholine, serotonin, or ATP also elicit electrophysiological responses. Together, these responses constitute the trunk of synaptic transmission. The role of the branches is carried out by neuromodulators. Neuromodulators can be classified as transmitters that, like glutamate

and GABA, are released from a neuron and interact with specific receptors found on the membrane of a recipient neuron (Figure 1). Contrary to glutamate or GABA, they do not interact with ligand-gated ion channels but with G protein-coupled receptors (GPCRs). Activation of these GPCRs induces second messenger response(s) that changes the biochemical properties of the recipient cell and consequently can modulate its electrophysiological responsiveness but also its transcriptional activity or its metabolism. Note that glutamate, GABA and the neurotransmitters mentioned above activate their own GPCRs, they therefore can also act as neuromodulators. Because only a limited number of second messenger pathways exist, it is the neuromodulator-receptor interaction that needs to provide the complexity required for brain function. However, because this interaction is based on a binary mechanism, complexity must rely on the diversity of the neuromodulators and their receptors.

, 2004) Perhaps Shh function is critical not only for the develo

, 2004). Perhaps Shh function is critical not only for the development of ventral structures in these patients, but it may also have roles in human cortical circuit formation as well. It will be interesting to determine if changes in behavior or learning and memory result as a consequence of the loss of Shh or Boc in the cerebral cortex of mutant mice. Precision Temozolomide purchase and specificity of synaptic connectivity is essential for normal brain function. In the cerebral cortex axons must traverse both short and long distances in order to make connections with their proper synaptic partners. Identifying the molecular mediators of synaptic specificity will

be key to understanding mechanisms regulating the construction of cortical circuits. Here we have shown that

the secreted protein, Sonic Hedgehog, functioning through its receptor Boc, has a role in conferring synaptic specificity to neurons that are part of a stereotypical cortical microcircuit. Freshly dissected P21 and 8-week-old mouse brains were incubated in the dark in Golgi solution A+B (FD Rapid Golgi Stain Kit, PK401, FD NeuroTechnologies) for 2–3 weeks. After incubation, all brains were washed thoroughly with Solution C for 2 days at room temperature, and then mouse brains were blocked and embedded in OCT embedding medium (Tissue-Tek). Coronal sections (150 μm) through the medial somatosensory cortex were cut with a Leica CM3050 cryostat and mounted on 3% gelatin-coated

slides. Staining procedures were followed as described (FD NeuroTechnologies), and slides were dehydrated in ethanol and mounted with Permount (Fisher www.selleckchem.com/Akt.html Scientific) for microscopy. Pyramidal neurons from layers II, III, and V of the primary motor and medial somatosensory cortex were used for analysis. Animals were maintained according to protocols approved by the Institutional Animal Care and Use Committee at UCSF. Plasmids were introduced into the developing cortex in vivo by intraventricular injection and electroporation. Intraventricular injections were carried out in E14 timed-pregnant mice, where the morning of the plug is designated embryonic day 1 (E1). Electroporations were performed using an Electro Square Porator ECM830 from (Genetronics) (5 pulses, 50V, 100 ms, 1 s interval). DNA was prepared in endotoxin-free conditions and 1 μl was injected per brain at the following ratios 3:1:1.5:0.5 (3 Boc/control-shRNA: 1 CAG-H2BGFP-2A-MyrTdTomato: 1 AAV-CAG-DIO-Synaptophysin-GFP; 0.5 CAG-Cre), 2:1:1 (2Boc/control-shRNA: 1 CAG-H2BGFP-2A-MyrTdTomato: 1 CAG-ChR2). Boc hairpin RNA vectors were purchased from Open Biosystems (SM2446B12, SM2438G6). Spine density (spines per μm) along Golgi-stained neurons in P21 and adult brains were viewed in coronal sections of pyramidal neurons in layer II/III and V on the basal dendrite between 100–200 μm from the soma.

For the second component, we used AI14, a knockin allele of the R

For the second component, we used AI14, a knockin allele of the Rosa26 (R26)

locus that allows high-level ubiquitous expression of the red fluorescent protein tdTomato after the excision of a loxP-flanked transcriptional stop signal ( Madisen et al., 2010). In the absence of TM, CreERT2 is retained in the cytoplasm of active cells and no recombination can occur (Figure 1A, top). TM administration causes active CreERT2-expressing cells to undergo Cre-mediated recombination (to be “TRAPed”), resulting in permanent expression of the effector gene (e.g., tdTomato; Figure 1A, bottom). Nonactive cells do not express CreERT2 and DAPT mouse do not undergo recombination, even in the presence of TM. Because of the transient nature of IEG transcription, CreERT2 is only present for a limited time after neuronal activation, and the lifetime of TM is limited by metabolism and excretion; as a result, only neurons that are ABT-263 concentration active within a limited time window around drug administration can be TRAPed. Because many CreERT2 lines have drug-independent recombination as a result of leaky CreERT2 activity (e.g., Madisen et al., 2010), we first examined recombination in FosTRAP (FosCreER/+R26AI14/+) and ArcTRAP (ArcCreER/+R26AI14/+) mice that were not treated with TM. Under these conditions, we observed very few labeled cells (from zero to a few cells per 60 μm sagittal section) in both young adult ( Figures 2A,

top, and 2C, left column) and aged (6- to 7-month-old; Figures S2B, top, and S2C, right column) FosTRAP mice. Thus, not despite CreERT2 expression in response to neuronal activity throughout the life of the animal, cytoplasmic retention of the CreERT2 protein in the absence of TM prevented CreERT2-induced recombination ( Figure 1A, top). Labeling in untreated

ArcTRAP mice is significant but is restricted to a few specific cell types, including layer 6 neurons in neocortex and granule cells in the dentate gyrus (DG; Figures 2A, bottom, and 2D, left column). The TM-independent recombination in ArcTRAP mice is most likely caused by Arc’s relatively high level of expression ( Lyford et al., 1995). Consistent with this assumption, the frequency of labeled cells in untreated ArcTRAP mice increased with the animal’s age ( Figures S2B, bottom, and S2D, right column). The remaining experiments in this paper were performed in mice that were 6–8 weeks of age. Treatment of both FosTRAP and ArcTRAP mice with TM (150 mg/kg intraperitoneal [i.p.] injected) in the homecage induced labeling in restricted regions throughout the brain when mice were examined 1 week postinjection (Figures 2B and 2C–2D, right columns). Because tdTomato fills cell bodies and processes, the identities of recombined cells could readily be determined by morphology. In FosTRAP mice, we observed recombination in cells lining the brain and ventricle surfaces, in blood vessels, and in putative oligodendrocytes in white matter.


“In the evolutionary drive to expand the frequency range o


“In the evolutionary drive to expand the frequency range of hearing, the avian auditory papilla lies between the primitive organ of the turtle and the structurally complex mammalian cochlea. This transformation can be mapped onto the audible frequency limits of these classes

ranging from 600 Hz in the turtle, 5–10 kHz in birds to over 100 kHz in some mammals (Manley, 2000). The bird auditory papilla still employs electrical tuning like the turtle (Fuchs et al., 1988; Tan et al., 2013) but also exhibits mechanical tuning of the basilar membrane (Gummer et al., 1987) similar to mammals. Furthermore, avian auditory hair cells can be divided into two subtypes, tall hair cells (THC) and short hair cells (SHC) (Takasaka and Smith, 1971; Hirokawa, 1978), which are analogous Selleck PLX-4720 to mammalian inner and outer hair cells based on their location and innervation. SHCs like their mammalian counterpart are situated more abneurally and innervated mainly by efferent rather than afferent fibers (Fischer, 1992). Because of the similarities, it has been conjectured that SHCs possess a mechanism to confer amplification and boost frequency selectivity (Manley and Köppl, 1998; Köppl, 2011) just as the prestin-based somatic motility

is thought Selleckchem HA-1077 to do in OHCs (Zheng et al., 2000; Dallos, 2008; Ashmore, 2008). Generation of an active force output is consistent with otoacoustic emissions that have been recorded in some avian species as they have in mammals (Manley and Köppl, 1998). However, there is no evidence for the occurrence of prestin in SHCs (He et al., 2003; Schaechinger and Oliver, 2007). Instead, there has been promulgation of the idea that nonmammalian hair cells exploit active hair bundle motility driven by gating of the mechanotransducer

(MT) channels to amplify extrinsic Fossariinae stimuli (Manley and Köppl, 1998; Hudspeth et al., 2000; Köppl, 2011). Detailed models have been proposed to support such a mechanism in birds (Choe et al., 1998; Sul and Iwasa, 2009). Active hair bundle movements have been documented in both turtles (Crawford and Fettiplace, 1985; Ricci et al., 2000) and frogs (Benser et al., 1996Martin et al., 2003), where they stem from force generation due to gating and fast adaptation of the MT channels. However, there has been no systematic study of this process in chicken hair cells. The goal of the present work was to address the role of avian SHCs by directly measuring the electromechanical properties of their hair bundles. We demonstrate that SHCs possess an electromechanical force generator with properties akin to prestin in addition to active bundle motion attributable to MT channel gating.