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2,194 results for “Diffusers”
Exploiting Synthetic Lethality for the Therapy of ABC Diffuse Large B Cell Lymphoma
GEO Series GSE33012. Homo sapiens. 8 samples. Type: Expression profiling by array.
Diffuse glioma cells with perineural satellitosis invade by mediating metabolic reprogramming
GEO Series GSE126725. Mus musculus. 6 samples. Type: Expression profiling by array.
Gene expression profiling of HIV-associated diffuse large B-cell lymphomas from Malawi
GEO Series GSE262621. Homo sapiens. 70 samples. Type: Expression profiling by high throughput sequencing.
Gene and microRNA expression data of diffuse large B cell lymphoma from human diagnostic frozen samples
GEO Series GSE21849. Homo sapiens. 65 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Enhanced DNA repair and genomic stability identify a novel HIV related Diffuse Large B-cell Lymphoma subtype [aCGH]
GEO Series GSE119536. Homo sapiens. 39 samples. Type: Genome variation profiling by array.
Combined epigenetic therapy with FACT and BET inhibitors remodels chromatin and disrupts oncogenic transcription in Diffuse Midline Glioma [Nascent RNA-Seq]
GEO Series GSE299509. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
Semimethylation is a feature of Diffuse Large B-cell Lymphoma, and subgroups with poor prognosis are characterized by global hypomethylation and short telomere length
GEO Series GSE255869. Homo sapiens. 97 samples. Type: Methylation profiling by array.
Membrane interactions of the globular domain and the hypervariable region of KRAS4b define its unique diffusion behavior
<p>Supplementary raw movies</p>
Multi-scale coupling during magnetopause reconnection: interface between the electron and ion diffusion regions
<p>Output in IDL-save format from four frames of the two particle-in-cell simulations used in the manuscript. See manuscript (Appendix C) for simulation set-up. Unless otherwise specified, each of the following variables are given as NxM matrices, where N is the number of grid cells per row (X axis) and M is the number per column (Z axis). Among other variables, the data files named "frame#.sav" contain the following items, used in the paper:</p> <ul> <li>E[i]: the i (X, Y, or Z) component of the electric field vector</li> <li>B[i]: the i (X, Y, or Z) component of the magnetic field vector</li> <li>Ay: the Y component of the magnetic vector potential</li> <li>V[s][i]: the i (X, Y, or Z) component of the bulk velocity of species s (ions or electrons)</li> <li>den[s]: the number density of species s</li> <li>xx: N-element vector of the x location of each grid cell</li> <li>zz: M-element vector of the z location of each grid cell</li> </ul> <p>One other file, named "frame38_P.sav", gives each of the 6 unique elements of the ion and electron pressure tensor with the variables named as P[s][i][j], where i and j are X, Y, or Z and s is either i for ions or e for electrons. </p>
Evaluation of metronomic chemotherapy response using diffusion and dynamic contrast-enhanced MRI
Purpose: To investigate the feasibility of using diffusion MRI (dMRI) and dynamic contrast-enhanced (DCE) MRI to evaluate the treatment response of metronomic chemotherapy (MCT) in the 4T1 mammary tumor model of locally advanced breast cancer. Methods: Twelve Balb/c mice with metastatic breast cancer were divided into treated and untreated (control) groups. The treated group (n=6) received five treatments of anti-metabolite agent 5-Fluorouracil (5FU) in the span of two weeks. dMRI and DCE-MRI were acquired for both treated and control groups before and after MCT. Immunohistochemically staining and measurements were performed after the post-MRI measurements for comparison. Results: The control mice had significantly ( p <0.005) larger tumors than the MCT treated mice. The DCE-MRI analysis showed a decrease in contrast enhancement for the control group, whereas the MCT mice had a more stable enhancement between the pre-chemo and post-chemo time points. This confirms the antiangiogenic effects of 5FU treatment. Comparing amplitude of enhancement revealed a significantly (p<0.05) higher enhancement in the MCT tumors than in the controls. Moreover, the MCT uptake rate was significantly (p<0.001) slower than the controls. dMRI analysis showed the MCT ADC values were significantly larger than the control group at the post-scan time point. Conclusion: dMRI and DCE-MRI can be used as potential biomarkers for assessing the treatment response of MCT. The MRI and pathology observations suggested that in addition to the cytotoxic effect of cell kills, the MCT with a cytotoxic drug, 5FU, induced changes in the tumor vasculature similar to the anti-angiogenic effect.
Changes in diffuse degassing from the summit crater of Teide volcano (Tenerife, Canary Islands) prior to the 2016 Tenerife long-period seismic swarm
<p>Data paper "Changes in diffuse degassing from the summit crater of Teide volcano (Tenerife, Canary Islands) prior to the 2016 Tenerife long-period seismic swarm".</p>
The role of intravoxel incoherent motion (IVIM) parameters in characterization of hypovascular liver lesions: the raw diffusion weighted images and IVIM data
<p class="western"><b>Background: </b><span>The utility of </span>intravoxel incoherent motion (IVIM) related parameters <span>in differentiation of hypovascular liver lesions is still unknown.</span></p> <p class="western"><b>Purpose: </b>The purpose of this study was to evaluate<b> </b>the value of IVIM related parameters in comparison to apparent diffusion coefficient (ADC) for differentiation among intrahepatic mass-forming cholangiocarcinoma (IMC), hypovascular liver metastases (HLM) and primary hepatic lymphoma (PHL).</p> <p class="western"><b>Methods:</b> Seventy-seven prospectively enrolled patients (21 IMC, 53 HLM, and 3 PHL) underwent 1,5T magnetic resonance examination with IVIM diffusion-weighted imaging using seven <i>b</i> values (0-800 s/mm<sup>2</sup>). Two independent readers performed quantitative analysis of IVIM-related parameters and ADC. Interobserver agreement was tested using a Pearson/Spearman-correlation. </p> <p class="western"><b>Results</b>: ADC, true diffusion coefficient (<i>D</i>), perfusion-related diffusion coefficient (<i>D</i>*), and perfusion fraction (ƒ) were compared among the lesions using Kruskal-Wallis H test. The diagnostic accuracy of each parameter was assessed by receiver operating curve (ROC) analysis. ADC, and <i>D</i> were significantly different among IMC and HLM with higher diagnostic performance of <i>D</i> (AUC=0.879 vs 0.821). Patients with PHL had significantly lower ADC, <i>D</i> and ƒ compared with IMC (<i>p</i><0.001, <i>p</i><0.001, and <i>p</i>=0.041, respectively) with highest diagnostic accuracy of <i>D</i> (AUC=0.905). <i>D</i> and ƒ were lower in PHL in comparison to HLM (<i>p</i>=0.031, and <i>p</i>=0.01). Good interobserver agreement was found among two readers (<i>r</i>=0.811 for ADC, 0.902 for <i>D</i>, 0.899 for <i>D</i>*, and 0.911 for ƒ maps).</p> <p class="western"><b>Conclusion</b>: IVIM-derived parameters in particular <i>D</i>, in addition to ADC, could help in differentiation among most common hypovascular malignant liver lesions. Moreover, they can be used for characterization of rare hypovascular entities such as primary hepatic lymphoma.</p>
Data from: Diffusion tensor imaging in patients with glioblastoma multiforme using the supertoroidal model
Purpose: Diffusion Tensor Imaging (DTI) is a powerful imaging technique that has led to improvements in the diagnosis and prognosis of cerebral lesions and neurosurgical guidance for tumor resection. Traditional tensor modeling, however, has difficulties in differentiating tumor-infiltrated regions and peritumoral edema. Here, we describe the supertoroidal model, which incorporates an increase in surface genus and a continuum of toroidal shapes to improve upon the characterization of Glioblastoma multiforme (GBM). Materials and Methods: DTI brain datasets of 18 individuals with GBM and 18 normal subjects were acquired using a 3T scanner. A supertoroidal model of the diffusion tensor and two new diffusion tensor invariants, one to evaluate diffusivity, the toroidal volume (TV), and one to evaluate anisotropy, the toroidal curvature (TC), were applied and evaluated in the characterization of GBM brain tumors. TV and TC were compared with the mean diffusivity (MD) and fractional anisotropy (FA) indices inside the tumor, surrounding edema, as well as contralateral to the lesions, in the white matter (WM) and gray matter (GM). Results: The supertoroidal model enhanced the borders between tumors and surrounding structures, refined the boundaries between WM and GM, and revealed the heterogeneity inherent to tumor-infiltrated tissue. Both MD and TV demonstrated high intensities in the tumor, with lower values in the surrounding edema, which in turn were higher than those of unaffected brain parenchyma. Both TC and FA were effective in revealing the structural degradation of WM tracts. Conclusions: Our findings indicate that the supertoroidal model enables effective tensor visualization as well as quantitative scalar maps that improve the understanding of the underlying tissue structure properties. Hence, this approach has the potential to enhance diagnosis, preoperative planning, and intraoperative image guidance during surgical management of brain lesions.
Data from: Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients
Locked-in syndrome (LIS) is a state of quadriplegia and anarthria with preserved consciousness, which is generally triggered by a disruption of specific white matter fiber tracts, following a lesion in the ventral part of the pons. However, the impact of focal lesions on the whole brain white matter microstructure and structural connectivity pathways remains unknown. We used diffusion tensor magnetic resonance imaging (DT-MRI) and tract-based statistics to characterise the whole white matter tracts in seven consecutive LIS patients, with ventral pontine injuries but no significant supratentorial lesions detected with morphological MRI. The imaging was performed in the acute phase of the disease (26 ± 13 days after the accident). DT-MRI-derived metrics were used to quantitatively assess global white matter alterations. All diffusion coefficient Z-scores were decreased for almost all fiber tracts in all LIS patients, with diffuse white matter alterations in both infratentorial and supratentorial areas. A mixture model of two multidimensional Gaussian distributions was fitted to cluster the white matter fiber tracts studied in two groups: the least (group 1) and most injured white matter fiber tracts (group 2). The greatest injuries were revealed along pathways crossing the lesion responsible for the LIS: left and right medial lemniscus (98.4% and 97.9% probability of belonging to group 2, respectively), left and right superior cerebellar peduncles (69.3% and 45.7% probability) and left and right corticospinal tract (20.6% and 46.5% probability). This approach demonstrated globally compromised white matter tracts in the acute phase of LIS, potentially underlying cognitive deficits.
Tumor-activated lymph node fibroblasts suppress T cell function in diffuse large B cell lymphoma
<p>The following folders/files are part of this repository:</p> <p> </p> <ul> <li>“List of samples” excel file: contains the list of samples used in this project</li> </ul> <p> </p> <ul> <li>CD8_ANALYSIS: contains two folders: CTRLs (control samples) and TMA (DLBCL TMA sample cores in duplicate).</li> </ul> <p>Each subfolder contains the following excel files:</p> <ul> <li>ImageNumber_legend_and_counts: excel file summarizing the image number associated to each sample, total number of CD8 and number of CD8 in contact with stroma</li> <li>Info_CP_Pipeline: cell profile pipeline used for CD8 analysis</li> <li>MyExpt_CD8_objects: raw data of all CD8</li> <li>MyExpt_CD8_on_stroma: raw data of all CD8</li> </ul> <p> </p> <ul> <li>ORIGINAL_IMAGES: it contains two folders: <ul> <li>exclusion_masks: masks used to exclude areas of the tissue from the analysis</li> <li>Original_images: spillover corrected TIFF images for each channel</li> </ul> </li> </ul> <p> </p> <ul> <li>STROMAL_CELL_ANALYSIS: <ul> <li>FRCs_Network_Shape: overlay TIFF images of the stromal network shape</li> <li>PDL1_PDL2_Stromal_Masks: TIFF images of stromal cell masks for PD-L1 and PD-L2 checkpoints expression</li> <li>Stromal_Cell_Masks: TIFF images of stromal cell masks for the three main stromal subpopulations of the lymph node (BECs, LECs, FRCs)</li> </ul> </li> </ul>
ENIGMA Pediatric msTBI diffusion MRI supplemental data
<p><b>Objective</b>: Our study addressed aims: (1) test the hypothesis that moderate-severe TBI in pediatric patients is associated with widespread white matter (WM) disruption; (2) test the hypothesis that age and sex impact WM organization after injury; and (3) examine associations between WM organization and neurobehavioral outcomes.</p> <p><b>Methods</b>: Data from ten previously enrolled, existing cohorts recruited from local hospitals and clinics were shared with the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Pediatric msTBI working group. We conducted a coordinated analysis of diffusion MRI (dMRI) data using the ENIGMA dMRI processing pipeline.</p> <p><b>Results</b>: Five hundred and seven children and adolescents (244 with complicated mild to severe TBI [msTBI] and 263 controls) were included. Patients were clustered into three post-injury intervals: acute/subacute - <2 months, post-acute - 2-6 months, chronic - 6+ months. Outcomes were dMRI metrics and post-injury behavioral problems as indexed by the Child Behavior Checklist (CBCL). Our analyses revealed altered WM diffusion metrics across multiple tracts and all post-injury intervals (effect sizes ranging between <i>d</i>=-0.5 to -1.3). Injury severity is a significant contributor to the extent of WM alterations but explained less variance in dMRI measures with increasing time post-injury. We observed a sex-by-group interaction: females with TBI had significantly lower fractional anisotropy in the uncinate fasciculus than controls (𝞫=0.043), which coincided with more parent-reported behavioral problems (𝞫=-0.0027).</p> <p><b>Conclusions</b>: WM disruption after msTBI is widespread, persistent, and influenced by demographic and clinical variables. Future work will test techniques for harmonizing neurocognitive data, enabling more advanced analyses to identify symptom clusters and clinically-meaningful patient subtypes.</p>
Tracer and Observationally-Derived Constraints on Diapycnal Diffusivities in an Ocean State Estimate
<p>Data used to generate the figures in Trossman et al. (2022) in Ocean Science, an EGU journal</p>
Data from: Toxic diffuse isolated cerebellar edema from over-the-counter health supplements
[No abstract entered]
simulation of Li diffusion in neutron scattering experiment
<p>Don't even try to open</p>
PECULIARITIES OF EPITAXIAL DIFFUSION CoSi2 FILMS GROWN ON THE SURFACE OF FLUORITE
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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.