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1,112 results for “effector”
Study of Targeted Therapy Using Transcription Activator-like Effector Nucleases in Cervical Precancerous Lesions
ClinicalTrials.gov study NCT03226470. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effector and Memory Immune Responses to HPV Vaccination in Vietnamese Women Post Virus Exposure
ClinicalTrials.gov study NCT06681636. IPD Sharing: NO. Countries: 2. Publications: 9.
Changes in Adaptive Immune Responses and Effector Cell Responses Upon Nasal Allergen Exposure - a Pilot Study
ClinicalTrials.gov study NCT03644680. IPD Sharing: NO. Countries: 1. Publications: 26.
Effect on Gait Pattern During Robot Assisted Gait Training (RAGT) of End-effector Type in Burn Patients
ClinicalTrials.gov study NCT06564090. IPD Sharing: NO. Countries: 1. Publications: 1.
Rituximab and Autologous Effector Lymphocytes in Non-Hodgkin Follicular Lymphoma in Response to First Line Chemotherapy
ClinicalTrials.gov study NCT01329354. IPD Sharing: Not stated. Countries: 1. Publications: 1.
HIV PrEP Priming of Immune Effectors
ClinicalTrials.gov study NCT02593409. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Radiotherapy Variables on Circulating Effectors of Immune Response and Local Microbiome
ClinicalTrials.gov study NCT03383107. IPD Sharing: NO. Countries: 1. Publications: 2.
Treg Effector Function and Th2/Treg Ratio in Allergic Conjunctivitis: Effect of Desensitization Therapy
ClinicalTrials.gov study NCT07171307. IPD Sharing: NO. Countries: 1. Publications: 2.
Safety of the Sputnik V Vaccine in Health Personnel of Private Effectors of the City of Buenos Aires, Argentina
ClinicalTrials.gov study NCT04738435. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
Efficacy of End-Effector Robot-Assisted Gait Training in Subacute Stroke Patients
ClinicalTrials.gov study NCT03805009. IPD Sharing: UNDECIDED. Countries: 1. Publications: 20.
Efficacy of End-Effector Robot-Assisted Gait Training Combined With Robotic Balance Training in Subacute Stroke Patients
ClinicalTrials.gov study NCT04162197. IPD Sharing: NO. Countries: 1. Publications: 9.
Data_Effects of input modality on vocal effector prioritization in manual-vocal dual tasks
<p>Dual-task costs in RTs and error rates compared between effector systems in vocal-manual dual-tasks using either only auditory or only visual stimuli for both responses</p>
Dataset and Scripts for: Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus
<p>Dataset and Scripts for the research article: Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus.</p> <p>A git repository can be found at: <a href="https://gitlab.com/smlatorreo/genetic_history_of_rice-infecting_magnaporthe_oryzae">https://gitlab.com/smlatorreo/genetic_history_of_rice-infecting_magnaporthe_oryzae</a></p>
The effect of an end-effector type of robot-assisted gait training on patients with Guillain-Barré syndrome
<p>Background: Guillain-Barre syndrome (GBS) is a peripheral nerve injury caused by a post-infectious immune response. Although the prognosis of GBS is relatively good, some patients have severe impairments such as walking disabilities. Robot-assisted gait training (RAGT) is used to improve gait function in various neurologic disorders; however, no studies have reported its effectiveness in GBS patients. We aimed to evaluate the effect of gait training using an end-effector type robotic device on GBS patients.</p> <p>Methods: This was a retrospective study of patients diagnosed with GBS who received RAGT using Morning Walk® at the inpatient department. The main outcome measures evaluated before and after RAGT were: Medical Research Council scale, Functional Ambulation Categories, Modified Barthel Index score, Rivermead Mobility Index, and 2-minute walk test.</p> <p>Results: In total, 15 patients underwent RAGT 24 times. The mean age was 55.7 (±15.3) years and the average time from onset was 3.9 (±3.6) months. When compared to the baseline, all outcome measures associated with gait function were improved after RAGT.</p> <p>Conclusions: RAGT can improve walking ability in GBS patients. RAGT can be considered as one of the gait training tools to recover gait function in GBS patients.</p>
Data from: Effector gene birth in plant parasitic nematodes: neofunctionalization of a housekeeping glutathione synthetase gene
Plant pathogens and parasites are a major threat to global food security. Plant parasitism has arisen four times independently within the phylum Nematoda, resulting in at least one parasite of every major food crop in the world. Some species within the most economically important order (Tylenchida) secrete proteins termed effectors into their host during infection to re-programme host development and immunity. The precise detail of how nematodes evolve new effectors is not clear. Here we reconstruct the evolutionary history of a novel effector gene family. We show that during the evolution of plant parasitism in the Tylenchida, the housekeeping glutathione synthetase (GS) gene was extensively replicated. New GS paralogues acquired multiple dorsal gland promoter elements, altered spatial expression to the secretory dorsal gland, altered temporal expression to primarily parasitic stages, and gained a signal peptide for secretion. The gene products are delivered into the host plant cell during infection, giving rise to "GS-like effectors". Remarkably, by solving the structure of GS-like effectors we show that during this process they have also diversified in biochemical activity, and likely represent the founding members of a novel class of GS-like enzyme. Our results demonstrate the re-purposing of an endogenous housekeeping gene to form a family of effectors with modified functions. We anticipate that our discovery will be a blueprint to understand the evolution of other plant-parasitic nematode effectors, and the foundation to uncover a novel enzymatic function.
Data from: Identification of candidate effector genes of Pratylenchus penetrans
Pratylenchus penetrans is one of the most important species among root lesion nematodes (RLNs) due to the detrimental and economic impact that it causes in a wide range of crops. Similar to other plant-parasitic nematodes (PPNs), P. penetrans harbors a significant number of secreted proteins that play key roles during parasitism. Here we combined spatially and temporally resolved next generation sequencing datasets of P. penetrans to select a list of candidate genes aimed at the identification of a panel of effector genes for this species. We determined the spatial expression of transcripts of 22 candidate effectors within the esophageal glands of P. penetrans by in situ hybridization. These comprised homologues of known effectors of other PPNs with diverse putative functions, as well as novel pioneer effectors specific to RLNs. It is noteworthy that five of the pioneer effectors encode extremely proline-rich proteins. We then combined in situ localization of effectors with available genomic data to identify a non-coding motif enriched in promoter regions of a subset of P. penetrans effectors, and thus a putative hallmark of spatial expression. Expression profiling analyses of a subset of candidate effectors confirmed their expression during plant infection. Our current results provide the most comprehensive panel of effectors found for RLNs. Considering the damage caused by P. penetrans, this information provides valuable data to elucidate the mode of parasitism of this nematode and offers useful suggestions regarding the potential use of P. penetrans-specific target effector genes to control this important pathogen. This article is protected by copyright. All rights reserved.
Data from: Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical framework
Gram-negative bacteria are responsible for hundreds of millions infections worldwide, including the emerging hospital-acquired infections and neglected tropical diseases in the third-world countries. Finding a fast and cheap way to understand the molecular mechanisms behind the bacterial infections is critical for efficient diagnostics and treatment. An important step towards understanding these mechanisms is the discovery of bacterial effectors, the proteins secreted into the host through one of the six common secretion system types. Unfortunately, current prediction methods are designed to specifically target one of three secretion systems, and no accurate "secretion system-agnostic" method is available. Here, we present PREFFECTOR, a computational feature-based approach to discover effector candidates in Gram-negative bacteria, without prior knowledge on bacterial secretion system(s) or cryptic secretion signals. Our approach was first evaluated using several assessment protocols on a manually curated, balanced dataset of experimentally determined effectors across all six secretion systems, as well as non-effector proteins. The evaluation revealed high accuracy of the top performing classifiers in PREFFECTOR, with the small false positive discovery rate across all six secretion systems. Our method was also applied to six bacteria that had limited knowledge on virulence factors or secreted effectors. PREFFECTOR web-server is freely available at: http://korkinlab.org/preffector.
Mixed body- and gaze-centered coding of proprioceptive reach targets after effector movement
<p>Previous studies demonstrated that an effector movement intervening between encoding and reaching to a proprioceptive target determines the underlying reference frame: proprioceptive reach targets are represented in a gaze-independent reference frame if no movement occurs but are represented with respect to gaze after an effector movement (Mueller and Fiehler, 2014a). The present experiment explores whether an effector movement leads to a switch from a gaze-independent, body-centered reference frame to a gaze-dependent reference frame or whether a gaze-dependent reference frame is employed in addition to a gaze-independent, body-centered reference frame. Human participants were asked to reach in complete darkness to an unseen finger (proprioceptive target) of their left target hand indicated by a touch. They completed 2 conditions in which the target hand remained either stationary at the target location (stationary condition) or was actively moved to the target location, received a touch and was moved back before reaching to the target (moved condition). We dissociated the location of the movement vector relative to the body midline and to the gaze direction. Using correlation and regression analyses, we estimated the contribution of each reference frame based on horizontal reach errors in the stationary and moved conditions. Gaze-centered coding was only found in the moved condition, replicating our previous results. Body-centered coding dominated in the stationary condition while body- and gaze-centered coding contributed equally strong in the moved condition. Our results indicate a shift from body-centered to combined body- and gaze-centered coding due to an effector movement before reaching towards proprioceptive targets.</p>
Effector movement triggers gaze-dependent spatial coding of tactile and proprioceptive-tactile reach targets
<p>The article available under https://doi.org/10.1016/j.neuropsychologia.2014.07.025 is based on the uploaded dataset.</p> <p>Abstract</p> <p>Reaching in space requires that the target and the hand are represented in the same coordinate system. While studies on visually-guided reaching consistently demonstrate the use of a gaze-dependent spatial reference frame, controversial results exist in the somatosensory domain. We investigated whether effector movement (eye or arm/hand) after target presentation and before reaching leads to gaze-dependent coding of somatosensory targets. Subjects reached to a felt target while directing gaze towards one of seven fixation locations. Touches were applied to the fingertip(s) of the left hand (proprioceptive-tactile targets) or to the dorsal surface of the left forearm (tactile targets). Effector movement was varied in terms of movement of the target limb or a gaze shift. Horizontal reach errors systematically varied as a function of gaze when a movement of either the target effector or gaze was introduced. However, we found no effect of gaze on horizontal reach errors when a movement was absent before the reach. These findings were comparable for tactile and proprioceptive-tactile targets. Our results suggest that effector movement promotes a switch from a gaze-independent to a gaze-dependent representation of somatosensory reach targets.</p>
Processed mass spectrometry data - systematic identification of allosteric effectors in Escherichia coli metabolism
<p>MATLAB files of processed mass spectrometry data, i.e. full data table after peak picking, annotation and quantification. Additionally, for each of the tested enzymes, the relevant ion traces of substrates and products are extracted, sorted by timepoint and replicate and saved in separate tables.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.