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1,944 results for “Class I”
Data from: Investigating the human and non-obese diabetic mouse MHC class II immunopeptidome using protein language modelling.
<p><strong>Background</strong>: Identifying peptides associated with the major histocompability complex class II (MHCII) is a central task in the evaluation of the immunoregulatory function of therapeutics and drug prototypes. MHCII-peptide presentation prediction has multiple biopharmaceutical applications, including the safety assessment of biologics and engineered derivatives in silico, or the fast progression of antigen-specific immunomodulatory drug discovery programs in immune disease and cancer. This has resulted in the collection of large–scale data sets on adaptive immune receptor antigenic responses and MHC-associated peptide proteomics. In parallel, recent deep learning algorithmic advances in natural language processing (NLP) and protein language modelling (PLM) have shown potential in leveraging large collections of sequence data and improve MHC presentation prediction. <strong>Methodology</strong>: We trained a compact transformer model (AEGIS) on human and mouse MHCII immunopeptidome data, including a preclinical murine model, and evaluated its performance on the peptide presentation prediction task. <strong>Data</strong>: The data and models used in AEGIS are contained in the uploaded tar files. <strong>Results</strong>: The transformer performs on par with existing deep learning algorithms and that combining datasets from multiple organisms increases model performance (see preprint). We trained variants of the model with and without MHCII information. In both alternatives, the inclusion of peptides presented by the I-Ag7 MHC class II molecule expressed by the non-obese diabetic (NOD) mice enabled the in silico prediction of presented peptides in a preclinical type 1 diabetes model organism, which has promising therapeutic applications.</p>
4-class code-VEP EEG data
<p><strong>Participants</strong></p> <p>Twelve healthy volunteers (4 women, mean age: 30.6 years, standard deviation: 7.1), all students and staff at ISAE-SUPAERO with normal or corrected-to-normal vision took part in this study. None of the participants reported any of the exclusion criteria (neurological antecedents and being under psychoactive medication at the time of the study). The study was approved by the ethics committee of the University of Toulouse (CER approval number 2020-334) and was carried in accordance with the declaration of Helsinki. Participants gave informed written consent prior to the experiment.</p> <p><strong>Experimental protocol</strong></p> <p>EEG data were recorded using a BrainProduct LiveAmp 32 active electrodes wet-EEG setup with a refresh rate of 500Hz to record the surface brain activity. The 32 electrodes followed the 10-20 international system. The ground electrode was placed at the FPz electrode location and all electrodes were referenced to the FCz electrode. The electrode impedances were brought below 25kOhm before the recording. EEG data and markers were synchronized during recording using Lab Streaming Layer.</p> <p>Participants were comfortably sat and requested to read and sign the informed consent. Once equipped with the EEG system, volunteers were asked to focus on four targets that were cued sequentially in a random order for 0.5s, followed by a 2.2s stimulation phase, before a 0.7s inter-trial period. The cue sequence for each trial was pseudo-random and different for each block. After each block, a pause was observed and subjects had to press the space bar to continue. In total, each volunteer was presented fifteen four-trial blocks for each of the four conditions, 2 types of c-VEP codes x 2 different amplitudes depth (40% or 100%). The four flickers were all 150 pixels wide discs, without borders, and were presented on the following LCD monitor: Dell P2419HC, 1920x1080 pixels, 265cd/m<sup>2</sup>, and 60Hz refresh rate.</p> <p><strong>Preprocessing</strong></p> <p>No pre-processing was applied on these data, and they have been neither sliced or epoched, although it remains possible to do so with the help of the markers.</p>
The X chromosome of insects likely predates the origin of Class Insecta
<p>Sex chromosomes have evolved independently multiple times, but why some are conserved for more than 100 million years whereas others turnover rapidly remains an open question. Here, we examine the homology of sex chromosomes across nine orders of insects, plus the outgroup springtails. We find that the X chromosome is likely homologous across insects and springtails; the only exception is in the Lepidoptera, which has lost the X and now has a ZZ/ZW sex chromosome system. These results suggest the ancestral insect X chromosome has persisted for more than 450 million years – the oldest known sex chromosome to date. Further, we propose that the shrinking of gene content of the Dipteran X chromosome has allowed for a burst of sex-chromosome turnover that is absent from other speciose insect orders.</p>
PHRF1 promotes the class switch recombination of IgA in CH12F3-2A cells-Dataset
<p><span> PHRF1 is an E3 ligase that promotes TGF-</span><span>B</span><span> signaling by ubiquitinating a homeodomain repressor TG-interacting factor (TGIF). The suppression of PHRF1 activity by PML-RAR</span><span> facilitates the progression of acute promyelocytic leukemia (APL). PHRF1 also contributes to non-homologous end-joining in response to DNA damage by linking H3K36me3 and NBS1 with DNA repair machinery. However, its role in class switch recombination (CSR) is not well understood. In this study, we report the importance of PHRF1 in IgA switching in CH12F3-2A cells and CD19-Cre mice. Our studies revealed that Crispr-Cas9 mediated PHRF1 knockout and shRNA-silenced CH12F3-2A cells reduced IgA production, as well as decreased the amounts of PARP1, NELF-A, and NELF-D. The introduction of PARP1 could partially restore IgA production in PHRF1 knockout cells. Intriguingly, IgA, as well as IgG1, IgG2a, and IgG3, switchings were not significantly decreased in PHRF1 deficient splenic B lymphocytes isolated from CD19-Cre mice. The levels of PARP1 and NELF-D were not decreased in PHRF1-depleted primary splenic B cells. Overall, our findings suggest that PHRF1 may modulate IgA switching in CH12F3-2A cells.</span></p>
HLA class I Sanger sequences data of Honduras HIV cohort
<p>HLA polymorphisms represent the strongest genetic modifier of HIV disease progression. Diverse HLA distribution can lead to distinct HIV control landscapes at the population level. We aimed to describe HLA allele and haplotype frequencies (linkage disequilibrium, LD), CCR5-Δ32 frequency and the impact of these variants on HIV disease outcome. HLA class I (cI) loci were typed at 4-digit resolution, and CCR5 variants were determined in 402 HIV clade B-infected, ART-naïve individuals from Honduras. HLA LD were assessed using Fisher's exact test. Using univariable and multivariable analyses we evaluated HLA associations with HIV pVL and CD4 counts. We did not find any effect on HIV control between CCR5 genotypes. Previously defined HLA associations were found: <em>B*57:01/03</em>, <em>B*42:01</em>, <em>A*25:01</em> and <em>C*12:03</em> (protective), and <em>B*53:01</em> and <em>A*68:01</em> (risk). Being consistent with our previous research in a Mesoamerican HIV cohort, Amerindian <em>B*35:12</em> was associated to poor HIV control. Other HLA-HIV associations not previously described were <em>C*03:04</em> and <em>B*08:01</em> that were associated with higher pVL. Overall, this first report highlights the immunogenetic uniqueness admixture of the Honduras population that express Amerindian, Caucasian and African HLA subtypes. These findings not only support this cohort as ideal for identifying HLA correlates of HIV control but also may improve future research regarding allotransplantation and disease association.</p>
Magical Scroll (Borderlands 3 Amara Class Mod)
A Fantasy style magical scroll. Idea taken from Amara's class mod in the video game Borderlands 3. Modelled in Blender and textured in Substance Painter. Source: Objaverse 1.0 / Sketchfab
Class 55 BR Green - D9009 Alycidon
Class 55 Deltic D9009 Alycidon - In BR Green Modelled in blender 3.1.2 **** Not Presented as Game Ready **** Source: Objaverse 1.0 / Sketchfab
Childbirth Education Classes, Spousal Support, Birth Memory, Choice of the Birth Method, and Birth Satisfaction
ClinicalTrials.gov study NCT07072507. IPD Sharing: NO. Countries: 1. Publications: 2.
A Comparison Of Outcomes In Patients In New York Heart Association (NYHA) Class II Heart Failure When Treated With Eplerenone Or Placebo In Addition To Standard Heart Failure Medicines
ClinicalTrials.gov study NCT00232180. IPD Sharing: Not stated. Countries: 29. Publications: 15.
CardioMEMS Heart Sensor Allows Monitoring of Pressure to Improve Outcomes in NYHA Class III Heart Failure Patients
ClinicalTrials.gov study NCT00531661. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Study of Efficacy and Safety of LNP023 in Participants With Active Lupus Nephritis Class III-IV, +/- V
ClinicalTrials.gov study NCT05268289. IPD Sharing: YES. Countries: 20. Publications: 1.
Evaluate the Efficacy and Safety of Sofosbuvir/Velpatasvir Fixed-Dose Combination and Ribavirin for 12 Weeks in Participants With Chronic HCV Infection and Child-Pugh-Turcotte Class C Cirrhosis
ClinicalTrials.gov study NCT02994056. IPD Sharing: YES. Countries: 2. Publications: 0.
Comparison of TPV/r to DRV/r in Triple Class Experienced Patient With Resistance to > 1 PI
ClinicalTrials.gov study NCT00517192. IPD Sharing: Not stated. Countries: 12. Publications: 1.
A Phase II Trial Assessing Nivolumab in Class II Expressing Microsatellite Stable Colorectal Cancer
ClinicalTrials.gov study NCT03981146. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Structured Progressive Task-Oriented Circuit Class Training With Motor Imagery on Gait in Stroke
ClinicalTrials.gov study NCT03436810. IPD Sharing: NO. Countries: 1. Publications: 18.
Comparative Effect of Clear Aligner Mandibular Advancement and Twin Block Appliances in Class II Malocclusion
ClinicalTrials.gov study NCT06609733. IPD Sharing: NO. Countries: 1. Publications: 1.
Sofosbuvir/Velpatasvir Fixed-Dose Combination in Adults With Chronic HCV Infection and Child-Pugh Class B Cirrhosis
ClinicalTrials.gov study NCT02201901. IPD Sharing: YES. Countries: 2. Publications: 3.
Single Session Class to Reduce Opioid Use in Chronic Pain
ClinicalTrials.gov study NCT03950791. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of Methyldopa on MHC Class II Antigen Presentation in Type 1 Diabetes
ClinicalTrials.gov study NCT01883804. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Safety of Sugammadex for the Reversal of Neuromuscular Blockade in American Society of Anesthesiologists (ASA) Class 3 or 4 Participants (MK-8616-145)
ClinicalTrials.gov study NCT03346057. IPD Sharing: YES. Countries: 4. Publications: 1.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.