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Dataset results
1,112 results for “effector”
Protein prenylation drives discrete signaling programs for the differentiation and maintenance of effector Treg cells [Pggt1b_ATACseq]
GEO Series GSE158921. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Reductive carboxylation epigenetically instructs effector T cell differentiation [RNA-Seq]
GEO Series GSE192395. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
De-differentiation by Adenovirus E1A Due to Inactivation of Hippo Pathway Effectors YAP and TAZ [RNA-seq]
GEO Series GSE130136. Homo sapiens. 23 samples. Type: Expression profiling by high throughput sequencing.
5-Aminolevulinic acid suppresses the effector function of feline lymphocytes by reducing the mitochondrial membrane potential
GEO Series GSE255919. Felis catus. 12 samples. Type: Expression profiling by high throughput sequencing.
Enterohemorrhagic Escherichia coli effector EspF triggers oxidative DNA lesions in intestinal epithelial cells
GEO Series GSE255129. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Attenuated IL-2 muteins promote regulatory T cell adaptation of the effector phenotype and function in vivo via modified IL-2 responses
GEO Series GSE216130. Mus musculus. 48 samples. Type: Expression profiling by high throughput sequencing.
Early-life human CD8+ T cells exhibit rapid, short-lived effector responses and a unique transcription factor landscape
GEO Series GSE289647. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
CRISPR screening reveals targets to reprogram long-lived effector CD8+ T cells for cancer therapy.
GEO Series GSE126072. Mus musculus. 50 samples. Type: Expression profiling by array; Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
A bifunctional snoRNA with separable activities in guiding rRNA 2'-O-methylation and scaffolding gametogenic effectors (total and polyA RNA-Seq)
GEO Series GSE276243. Schizosaccharomyces pombe. 4 samples. Type: Expression profiling by high throughput sequencing.
Gfi1 controls the formation of effector CD8+ T cells during chronic infection and cancer [RNA]
GEO Series GSE261249. Mus musculus. 31 samples. Type: Expression profiling by high throughput sequencing.
Krüppel-like factor 4 regulates the cytolytic effector function of exhausted CD8 T-cells
GEO Series GSE212806. Mus musculus. 21 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Identification of the AVRa7,AVRa9, AVRa10 and AVRa22 effector genes from barley powdery mildew fungus (Bgh) association analysis between transcript polymorphisms and AVRa phenotypes from 27 Bgh isolat
GEO Series GSE110266. Blumeria hordei. 24 samples. Type: Expression profiling by high throughput sequencing.
A Ralstonia solanacearum effector targets splicing factor SR34a to reprograms alternative splicing and regulates host immunity
GEO Series GSE276633. Solanum lycopersicum. 6 samples. Type: Expression profiling by high throughput sequencing.
Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV
GEO Series GSE230738. Homo sapiens. 71 samples. Type: Expression profiling by high throughput sequencing.
Innate sensor Dhx9 directly binds to multiple genes related to effector CD8 T cell differentiation [ChIP-Seq]
GEO Series GSE161694. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Toxoplasma gondii secreted effectors co-opt host repressor complexes to inhibit necroptosis [II]
GEO Series GSE166936. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Primary SARS-CoV-2 variant of concern infections elicit broad antibody Fc-mediated effector functions and memory B cell responses
<p><span>Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by human sera is a strong correlate of protection against symptomatic and severe Coronavirus Disease 2019 (COVID-19). The emergence of antigenically distinct SARS-CoV-2 variants of concern (VOCs) and the relatively rapid waning of serum antibody titers, however, raises questions about the sustainability of serum protection. In addition to serum neutralization, other antibody functionalities and the memory B cell (MBC) response are suggested to help maintaining this protection. In this study, we investigate the breadth of spike (S) protein-specific serum antibodies that mediate effector functions by interacting with Fc-gamma receptor IIa (<span>FcγRIIa) and FcγRIIIa,</span> and of the receptor binding domain (RBD)-specific MBCs, following a primary SARS-CoV-2 infection with the D614G, Alpha, Beta, Gamma, Delta, Omicron BA.1 or BA.2 variant. Irrespectively of the variant causing the infection, the breadth of S protein-specific serum antibodies that interact with <span>FcγRIIa and FcγRIIIa and the RBD-specific MBC responses </span>exceeded the breadth of serum neutralization, although the Alpha-induced B cell response seemed more strain-specific<span>. Between VOC groups, both quantitative and qualitative differences in the immune responses were observed, suggesting differences in immunogenicity. Overall</span>, this study contributes to the understanding of protective humoral and B cell responses in the light of emerging antigenically distinct VOCs, and highlights the need to study the immune system beyond serum neutralization <span>to gain a better understanding of the protection against emerging variants. </span></span></p>
Adjustments in end-effector trajectory and underlying joint angle synergies after a target switch: Order of adjustment is flexible
<p>These are the data files used to perform the analyses for the paper: 'Adjustments in end-effector trajectory and underlying joint angle synergies after a target switch: Order of adjustment is flexible'.</p>
Confocal microscopy data associated with "The conserved aphid saliva chemosensory protein effector Mp10 targets plant AMSH deubiquitinases at cellular membranes to suppress pattern-triggered immunity"
<p><strong>Confocal microscopy data as described in "The conserved aphid saliva chemosensory protein effector Mp10 targets plant AMSH deubiquitinases at cellular membranes to suppress pattern-triggered immunity".</strong></p> <p> </p> <p>Data relate to Figure 2 (“Mp10 interacts with AMSH deubiquitinases in yeast and plants”) involving FLIM-FRET imaging data to determine the interaction between eGFP-tagged <em>Myzus persicae </em>Mp10 and mCherry-tagged <em>Nicotiana benthamiana </em>AMSH proteins in plant cells; and Figure 6 (“Mp10 affects the abundance and localisation of cell-surface receptor-like kinases) involving confocal microscopy showing the effect of Mp10-expression on the localisation of the GFP-tagged FLS2 receptor-kinase protein, and it’s colocalization with RFP-tagged markers of the plasma membrane and the tonoplast in plant cells.</p> <p>Constructs encoding fluorescent protein fusions were transformed into <em>Agrobacterium tumefaciens </em>GV3101, and mixed Agrobacterium cultures were infiltrated into mature leaves of <em>N. benthamiana </em>plants to co-express the desired combinations of proteins. All image data was gathered from lower epidermal leaf cells of infiltrated leaves 2-3 days post infiltration.</p> <p> </p> <p><strong>FLIM-FRET assays.</strong></p> <p>eGFP-tagged Mp10, or eGFP-alone, was co-expressed with mCherry-tagged AMSH proteins, or mCherry fused to aquaeorin in <em>N. benthamiana</em> via agroinfiltration as described above. Lower epidermal cells of leaf sections were imaged 2-3 days after infiltration using a Leica Stellaris 8. Images were captured detecting fluorescence from eGFP (WLL laser, ex.488 nm, em 509-534 nm.) mCherry (lWLL aser, ex. 587 nm em 603-625 nm.) and chlorophyll (WLL laser, ex 587 nm. em 687-712 nm.). Regions of cells showing expression of both eGFP- and mCherry- tagged proteins but lacking chlorophyll were selected for FLIM analysis to avoid bleed through of chlorophyll fluorescence into the eGFP chanel. Fluorescence lifetime data of EGFP were collected from these regions in FLIM mode (WLL laser ex. 488nm, em 525-530 nm.), data were collected at 128x128 resolution until 1000 photons per pixel were collected for the most intense regions of the image. Instrument response function was captured using erythrosine on each day of data collection. FLIM data were analysed using Leica LASX FLIM FCS software. Fluorescence lifetime decay curves of free eGFP control samples were modelled as a 2-component exponential function, and all samples from each experimental set were modelled against the fluorescence lifetime from the corresponding control samples to derive values for fluorescent lifetime and %FRET efficiency for each image collected. %FRET efficiency was mapped to the images and phasor plots were generated for regions with the highest and lowest FRET efficiency, showing that the FRET signal was associated with a clockwise shift on the phasor plot consistent with <em>bona-fide </em>FRET. Full experimental metadata for each image set are included within the .lif files.</p> <p> </p> <p><strong>FLS2-GFP localisation experiments.</strong></p> <p>Confocal microscopy analysis was performed on a Leica TCS SP8X confocal DM6 microscope with a 63x water-immersion objective, using Leica Application Suite X (LAS X) software (3.5.7.23225). eGFP and chlorophyll signals were excited by a 488 nm Argon laser with emission, respectively, at 495–545 nm and 690-710 nm. RFP signal was excited by a 590 nm white light laser (WLL) with emission at 605–650 nm. Full experimental metadata for each image set are included within the .lif files.</p> <p> </p> <p>Leica Image Files (.lif) that contain multiple images including metadata associated with image acquisition and processing.</p> <p> </p> <p>FLIM030823.lif</p> <p>FLIM130724.lif</p> <p>FLIM140623.lif</p> <p>FLIM160623.lif</p> <p>FLIM240523.lif</p> <p>FLIM250523.lif</p> <p>Files include FLIM-FRET data as shown in Figure 2 parts D-L.</p> <p>FLIM-data-files.xlsx includes a description of the individual image filenames, and the combinations of fluorophore imaged in each.</p> <p> </p> <p>Fig6cSlFLS2-gfp_Mp10-RFP.lif</p> <p>Fig6c-SlFLS2-GFP_EV-RFP.lif</p> <p>Correspond to Figure 6 C showing co-expression of RFP-tagged Mp10 (or free RFP control) co-expressed with GFP-tagged FLS2</p> <p> </p> <p>20230828_SlFLS2-GFP_Flag-Mp10_Flag-alone_Remorin-RFP-3-3-1x.lif</p> <p>20230828_SlFLS2-GFP_Flag-Mp10_Flag-alone_Remorin-RFP-3-3-3x.lif</p> <p>20230828_SlFLS2-GFP_Flag-Mp10_Flag-alone_Remorin-RFP-4-2-3x.lif</p> <p>0230828_SlFLS2-GFP_Flag-Mp10_Flag-alone_Remorin-RFP4-2-1x.lif</p> <p>Correspond to Figure 6 D showing co-expression of FLAG-tagged Mp10 (or free FLAG control) co-expressed with GFP-tagged FLS2 together with RFP-tagged plasma membrane marker Remorin</p> <p> </p> <p>20230911_SlFLS2-GFP_Flag-Mp10_Flag-alone_StSUC4-RFP-14-5-1x.lif</p> <p>20230911_SlFLS2-GFP_Flag-Mp10_Flag-alone_StSUC4-RFP-14-5-3x.lif</p> <p>20230911_SlFLS2-GFP_Flag-Mp10_Flag-alone_StSUC4-RFP-16-1-1x.lif</p> <p>20230911_SlFLS2-GFP_Flag-Mp10_Flag-alone_StSUC4-RFP-16-1a-3x.lif</p> <p>20230911_SlFLS2-GFP_Flag-Mp10_Flag-alone_StSUC4-RFP-16-1b-1x.lif</p> <p>Correspond to Figure 6 E showing co-expression of FLAG-tagged Mp10 (or free FLAG control) co-expressed with GFP-tagged FLS2 together with RFP-tagged tonoplast marker SUC4.</p> <p> </p> <p>We are grateful to the John Innes Centre (JIC) Bioimaging Platform for training and technical support</p> <p>This work was funded by UK Research and Innovation (UKRI) Biotechnology and Biological Sciences Research Council (BBSRC) grants to SAH (BB/V008544/1 and BB/N009169/1), Additional Support was provided by the BBSRC Institute Strategy Programmes (BBS/E/J/000PR9797 and BBS/E/JI/230001B) awarded to the John Innes Centre (JIC). The JIC is grant-aided by the John Innes Foundation.</p> <p> </p>
The Role of CD4+ Memory Phenotype, Memory, and Effector T Cells in Vaccination and Infection
ClinicalTrials.gov study NCT03453801. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.
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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.
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