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2,194 results for “Diffusers”
Clinicopathological characteristics and genomic profile of primary sinonasal tract diffuse large B cell lymphoma (DLBCL) reveals gain at 1q31 and RGS1 encoding protein; high RGS1 immunohistochemical expression associates with poor overall survival in DLBCL not otherwise specified (NOS)
<p>Raw annonymized data, OncoScan CEL files of the manuscript.</p> <p>PMID: 27775850</p> <p>DOI: 10.1111/his.13106</p> <p>ABSTRACT:</p> <p><strong>Aims: </strong> We aimed to define the clinicopathological characteristics of 29 primary sinonasal diffuse large B cell lymphoma (DLBCL<sup>sn</sup> ) in a series of 240 cases of DLBCL not otherwise specified [DLBCL<sup>all (</sup><sup>NOS</sup><sup>)</sup> ], including DLBCL<sup>sn</sup> training set (n = 11) and validation set (n = 18), and DLBCL<sup>non-sn</sup> (n = 211).</p> <p><strong>Methods and results: </strong> In the training set, 82% had a non-germinal center B-cell-like (Hans' Classifier) (non-GCB) phenotype and 18% were Epstein-Barr virus-encoded small RNAs (EBER)<sup>+</sup> . The genomic profile showed gains<sup>(+)</sup> of 1q21.3q31.2 (55%), 10q24.1 (46%), 11q14.1 (46%) and 18q12.1q23 (46%); losses<sup>(-)</sup> of 6q26q27 (55%) and 9p21.3 (64%); and copy number neutral loss of heterozygosity (LOH) (acquired uniparental disomy, UPD) at 6p25.3p21.31 (36%). This profile is comparable to DLBCL<sup>NOS</sup> (GSE11318, n = 203.) and closer to non-GCB/activated B-cell-like subtype (ABC). Nevertheless, +1q31, -9p21.3 and -10q11.1q26.2 were more characteristic of DLBCL<sup>sn</sup> (P < 0.001). Array results were verified successfully by fluorescence in situ hybridization (FISH) on +1q21.3 (CKS1B), -6q26 (PARK2), +8q24.21 (MYC), -9p21.3 (MTAP, CDKN2A/B), -17p13.1 (TP53) and +18q21.33 (BCL2) with 82-91% agreement. Minimal common regions included biologically relevant genes of MNDA (+1q23.1), RGS1 and RGS13 (+1q31.2), FOXP1 (+3p13), PRDM1 (BLIMP1) and PARK2 (-6q21q26), MYC (+8q24.21), CDKN2A (-9p21.3), PTEN (-10q23.31), MDM2 (+12q15), TP53 (-17p13.1) and BCL2 (+18q21.33). Correlation between DNA copy number and protein immunohistochemistry was confirmed for RGS1, RGS13, FOXP1, PARK2 and BCL2. The microenvironment had high infiltration of M2-like tumour associated macrophages (TAMs) and CD8<sup>+</sup> T lymphocytes that associated with higher genomic instability. The DLBCL<sup>sn</sup> validation set confirmed the clinicopathological characteristics, all FISH loci and immunohistochemistry (IHC) for RGS1. RGS1, one of the most frequently altered genes, was analysed by IHC in DLBCL<sup>all</sup> and high RGS1 expression associated with non-GCB, EBER<sup>+</sup> and unfavourable overall survival (hazard ratio = 1.794; P = 0.016).</p> <p><strong>Conclusions: </strong> DLBCL<sup>sn</sup> has a characteristic genomic profile. High RGS1 IHC expression associates with poor overall survival in DLBCL<sup>all (</sup><sup>NOS</sup><sup>)</sup> .</p>
Supplementary Datasets for: Chapter 6: Timescales of dyke intrusion events in the Main Ethiopian Rift through olivine Fe-Mg diffusion chronometry
<p>Supplementary datasets for Chapter 6: Timescales of dyke intrusion events in the Main Ethiopian Rift through olivine Fe-Mg diffusion chronometry.</p> <p>Dataset S1: Standards, secondary standards, geochemical data and timescale data of olivine Fe-Mg diffusion profiles and carrier glasses.<br> Dataset S2: Combined and sorted dataset of greyscale images.</p>
[Review version] Probabilistic projections of granular energy technology diffusion at subnational level
<p>This is a version for review prior to the publication of the article:<br>Nik Zielonka, Xin Wen, Evelina Trutnevyte, Probabilistic projections of granular energy technology diffusion at subnational level, <em>PNAS Nexus</em>, 2023;, pgad321, <a href="https://doi.org/10.1093/pnasnexus/pgad321">https://doi.org/10.1093/pnasnexus/pgad321</a></p> <p>You find the public data set to the article here:<br><a href="https://doi.org/10.5281/zenodo.8414845">https://doi.org/10.5281/zenodo.8414845 </a></p>
In vivo diffusion MRI of optic pathways in 18 healthy mice
<p>The dataset contains manganese enhanced T1- and diffusion-weighted images of optic pathways in 18 healthy mice. All raw (Bruker) and a subset of processed (NIfTI) files are stored.</p><p><strong>Animals</strong><br>Our study was approved by the Institutional Animal Care and Use Committee (IACUC) at NYU Langone Health. All n=18 mice were females, genotype C57BL/6, 7-8 weeks old at baseline and sacrificed within 24 hours after completing the imaging.<br> <br><strong>Data</strong><br>We acquired in vivo MRI using a preclinical wide bore 7T scanner with a four-channel phased array cryogenically cooled receive-only coil (Bruker BioSpin MRI GmbH, Ettlingen, Germany). Prior to imaging, the mice were anesthetized with inhaled isoflurane (3% induction, 1.0-1.5% maintenance). The acquisition protocol consisted of FLASH T1-weighted images at 100µm isotropic resolution (TE/TR = 4.5/30ms) and multishell DWIs at 200µm isotropic resolution (multi-shot multi-slice EPI with 3 readout segments, TE/TR = 27.6/2781ms, L/R phase encoding) sampled in 60 directions distributed on radial lines at b ∈ {250, 1000, 2250, 4000} [s/mm2] interleaved with 5 images at b=0. </p><p>To minimize motion artifacts, we fixed the mice to the holder with a bite bar and a pair of ear bars. Additionally, we used a TTL (Transistor-Transistor Logic) trigger receiving inputs from a pressure pad to account for breathing-related motion artifacts. The expected scan time for the dMRI protocol was 37min. 24sec. The effective scan time with the trigger varied between 60 and 70 minutes.</p><p>Immediately after the baseline scans, while the mice remained under isoflurane-induced general anesthesia, we administered intravitreally manganese chloride (MnCl2) solution to the left (nleft=8) or the right eye (nright=10). We began by injecting 1.0µl of 0.1M MnCl2 (Mice 1–2), which we eventually lowered to 0.5µl (Mice 3–18) without any observable loss in contrast enhancement. Finally, 21±4 hours after injection, we repeated the exact same FLASH T1 acquisition to obtain follow-up MEMRI scans. </p><p><strong>Image processing</strong><br>In our DWI postprocessing pipeline, we executed the MRtrix3 implementations of the Marchenko-Pastur PCA denoising (<i>dwidenoise</i>), Gibbs ringing (<i>mrdegibbs</i>) and B1 field inhomogeneity artifacts removal (<i>dwibiascorrect ants</i>). After that, we interpolated the DWIs to 100µm isotropic resolution such that they would match the voxel size of the anatomical images. Then, we registered the follow-up MEMRI scans to the corresponding b=0 images using 3-dimensional rigid body transformation implemented in: <i>antsRegistrationSyN.sh </i></p><p><strong>Acknowledgements</strong><br>The authors would like to thank Orin Mishkit, Zakia Ben Youss Gironda, Orlando Aristizabal, and Youssef Wadghiri from the NYU Langone Health Preclinical Imaging Laboratory for their invaluable help.</p><p>This project was supported in part by the National Institutes of Health (NIH, R01 EB028774, R01 EB029306, and R01 NS082436). It was performed under the rubric of the Center for Advanced Imaging Innovation and Research (CAI2R, https://www.cai2r.net), a NIBIB Biomedical Technology Resource Center (NIH P41 EB017183), and at the NYU Langone Health Preclinical Imaging Laboratory, a shared resource partially supported by the NIH/SIG 1S10OD018337-01, the Laura and Isaac Perlmutter Cancer Center Support Grant NIH/NCI 5P30CA016087.</p>
Single Patient Compassionate Use / Expanded Access L-S-Gboxin (Lyophilized Form of S-Gboxin) for the Treatment of Diffuse Midline Glioma
ClinicalTrials.gov study NCT06439849. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Loncastixumab Tesirine (ADCT-402) Expanded Access Program (EAP) for Patients With Relapsed/Refractory Diffuse Large B-Cell Lymphoma
ClinicalTrials.gov study NCT04705454. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Targeted inhibition of Bcl-xL following radiation reduces tumourigenesis in preclinical models of H3K27M-altered diffuse midline glioma
GEO Series GSE291046. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of human Fibroblastic Reticular Cells (FRCs) cells in Diffuse Large B-cell Lymphoma (DLBCL)
GEO Series GSE179161. Homo sapiens. 23 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-sequencing reveals enrichment of different macrophage subsets following radiation or anti-CD47 therapy in Diffuse Midline Glioma and Glioblastoma
GEO Series GSE202174. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
KDM4A/KDM4C lysine demethylases sustain an oncogenic transcriptional program in diffuse large B-cell lymphoma
GEO Series GSE139185. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
IRF4 contributes to chemoresistance in IGH-BCL2 positive diffuse large B-cell lymphomas by mediating BCL2 induced SOX9 expression
GEO Series GSE278092. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The ETS inhibitors YK-4-279 and TK-216 have anti-tumor activity in lymphomas and interfere with SPIB in activated B cell-like type diffuse large B cell lymphoma
GEO Series GSE114022. Homo sapiens. 30 samples. Type: Expression profiling by array.
An alpha-enolase (ENO1) related gene signature predicts prognosis risk and therapeutic response in diffuse large B-cell lymphoma
GEO Series GSE292371. Homo sapiens. 4 samples. Type: Other.
Diffuse Intrinsic Pontine Glioma
GEO Series GSE50025. Homo sapiens. 145 samples. Type: Expression profiling by array; Methylation profiling by array; Genome variation profiling by SNP array; SNP genotyping by SNP array.
Clonal relationship of relapsing diffuse large B-cell lymphoma
GEO Series GSE65720. Homo sapiens. 62 samples. Type: Genome variation profiling by genome tiling array.
Genome-scale CRISPR screen identifies nucleotide metabolism as an actionable therapeutic vulnerability in diffuse large B-cell lymphoma [RNA-seq]
GEO Series GSE215222. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
Molecular and pathological characterisation of diffuse large B-cell lymphomas in children with Nijmegen breakage syndrome
GEO Series GSE213555. Homo sapiens. 41 samples. Type: Expression profiling by high throughput sequencing.
NR1H3 (LXRα) IS ASSOCIATED WITH PRO-INFLAMMATORY MACROPHAGES, PREDICTS SURVIVAL AND PROVIDES RATIONALE FOR NEW IMMUNOMODULATION IN DIFFUSE LARGE B-CELL LYMPHOMA
GEO Series GSE195651. Homo sapiens. 4 samples. Type: Expression profiling by array.
Affymetrix SNP-array data for splenic diffuse red pulp lymphoma samples
GEO Series GSE65052. Homo sapiens. 5 samples. Type: Genome variation profiling by SNP array.
Low Expression of SP1 has a Different Effect on Intestinal-type compared to Diffuse-type Gastric Adenocarcinoma
GEO Series GSE34792. Homo sapiens. 4 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
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.