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268 results for “red blood cell”
Terminal density reversal and the role of Ca2+ in red blood cells clearance of healthy individuals
<p>Density reversal of senescent red blood cells (RBCs) has been known for more than ten years, yet the identity of the candidate protein(s) is still elusive. While performing Percoll density gradient separation of RBCs from healthy individuals and their subsequent characterization, we identified a fraction of cells in the low-density fraction (~0.025% compared to total RBCs population) which shows reversal in their densities along with the characteristics of cellular senescence such as loss of membrane Band 3 protein and the phosphatidylserine exposure to the outer membrane leaflet. Our subsequent analysis showed that these cells are overloaded with Ca<sup>2+</sup>. We further measured intracellular [Na<sup>+</sup>] in individual RBCs by flow cytometry utilizing the dye CoroNa Green-AM. Our findings showed that the cells with senescent characteristics lost their transmembrane Na<sup>+</sup> gradient despite maintaining the membrane integrity. Consequently, these findings lead us to designate these cells as “senescent-like” cells. Our data further demonstrated altered activities of nonselective cation channels and pumps in these cells. In addition to a facilitated Na+ extrusion by Na<sup>+</sup>, K+-ATPase, our findings indicated altered ion transport via Piezo1 in these cells. Pharmacological modulation of Piezo1 with Yoda1/GsMTx4 showed that Piezo1 and, possibly, other nonselective cation channels by promiscuously transporting Na<sup>+</sup> and Ca<sup>2+</sup> play an important role in producing these low density “senescent like” cells.</p>
The protein organization of a red blood cell
<p>Elution profiles, feature matrix, train and test ppis, and metadata for the paper "The protein organization of a red blood cell". Sae-Lee et al., </p>
Figure 2 in Oxidative and osmotolerant effects in Salvator merianae (Squamata: Teiidae) red blood cells during hibernation
Figure 2. Logarithmic in base 10 values of oxidative biomolecules level for each period collected (n = 6). Wilcox Test: P = 0.31. Sum symbol (+) is the mean and SD are the horizontal lines; median is the vertical line within the boxes and range is distance from the median to the end of the boxes.
Figure 1 in Oxidative and osmotolerant effects in Salvator merianae (Squamata: Teiidae) red blood cells during hibernation
Figure 1. (a) Osmotic fragility in percentage by saline concentration from both periods studied (GLM: F = 2.56, P = 0.03). No statistical differences were observed between individualized pairs of saline concentrations; (b) Overall osmotic fragility difference between periods considering only periods effect (GLM: F = 9.72, P = 0.01) (n = 6). Sum symbol (+) is the mean and SD are the horizontal lines; median is the vertical line within the boxes and range is distance from the median to the end of the boxes.
Figure 3 in Oxidative and osmotolerant effects in Salvator merianae (Squamata: Teiidae) red blood cells during hibernation
Figure 3. Logarithmic in base 10 values of (a) Enzymatic activity level of glutathione peroxidase – GPx and (b) activity of glutathione reductase - GR of red blood cells in hibernation and active periods (n = 6). T-test, P = 0.68 and P = 0.10, respectively. Sum symbol (+) is the mean and SD are the horizontal lines; median is the vertical line within the boxes and range is distance from the median to the end of the boxes.
Time-averaged simulation results and in vivo measurements to show the impact of red blood cells on the flow field in the cortical microvasculature
<p>The dataset contains 5 files. 4 of them are time-averaged results of blood flow simulations with discrete red blood cell (RBC) tracking in realistic microvascular networks. The 5th file contains median values of RBC velocity measurements at capillary bifurcations in the somatosensory cortex of the mouse.</p> <p>Further notes on the simulation results:<br> - The realistic microvascular networks are from the mouse parietal cortex and have first been published in Blinder et al., 2013, Nature Neuroscience (<a href="https://doi.org/10.1038/nn.3426">https://doi.org/10.1038/nn.3426</a>).<br> - The numerical model to simulate blood flow in realistic microvascular networks has been described in Schmid et al., 2017, PLOS Computational Biology (<a href="https://doi.org/10.1371/journal.pcbi.1005392">https://doi.org/10.1371/journal.pcbi.1005392</a>).<br> - MVN1 and MVN2 stands for microvascular network 1 and 2, respectively.<br> - wRBCs and wpPs stands for 'with red blood cells' and 'with passive particles'. These terms describe two different numerical models: The wRBC-model accounts for all RBC related flow phenomena. The wpP neglects the phase-separation and the Fahraeus-Lindqvist effect, i.e. RBCs and flow are decoupled. Further details are available from Schmid et al. (2019, <a href="https://doi.org/10.1371/journal.pcbi.1007231">https://doi.org/10.1371/journal.pcbi.1007231</a>)</p> <p><strong>File format: </strong>pickle (Python)</p> <p><strong>Files 1 - 4 </strong>(Time-averaged simulation results):<br> Filenames: MVN1_wpPs.tar.bz2, MVN2_wpPs.tar.bz2, MVN1_wRBCs.tar.bz2, MVN2_wRBCs.tar.bz2</p> <p>Each compressed folder contains two files:<br> <br> edgesDict.pkl: dictionary with edge/vessel related data: </p> <ul> <li>flow: Flow rate in vessel [um^3/ms]</li> <li>length: Vessel length [um] (Tortuosity is considered)</li> <li>htt: Tube hematocrit in vessel [-]</li> <li>diameter: Effective vessel diameter [um]</li> <li>connectivity: Vertex indices, e.g. start and end vertex of the corresponding vessel</li> </ul> <p>verticesDict.pkl: dictionary with vertex/bifurcation related data:</p> <ul> <li>index: Index of the current vertex </li> <li>coords: Coordinates to describe the position of the vertex [um]</li> <li>pressure: Pressure at the vertex [mmHg]</li> </ul> <p> </p> <p><strong>File 5</strong> (in vivo RBC velocity measurements):<br> Filename: measurementDict.pkl</p> <p>keys:</p> <ul> <li>divergent_d1: divergent bifurcation, RBC velocity measurement in daughter vessel 1</li> <li>divergent_d2: divergent bifurcation, RBC velocity measurement in daughter vessel 2</li> <li>convergent_m1: convergent bifurcation, RBC velocity measurement in mother vessel 1</li> <li>convergent_m2: convergent bifurcation, RBC velocity measurement in mother vessel 2</li> </ul> <p><br> Data structure: list of list,<br> e.g. daughter vessel 1:<br> [[bif.1 - measure.1, bif.1 - measure.2, bif.1 - measure.3], [bif.2 - measure.1, bif.2 - measure.2, bif.2 - measure.3],...]<br> bif.: bifurcation, measure.: measurement.<br> The order of bifurcations is the same for 'divergent_d1' and 'divergent_d2' (and for 'convergent_m1' and 'convergent_m2'). </p> <p> </p>
Figure 1 in Blood cells and some hematological parameters of red drum (Linnaeus, 1766) in Vietnam
Figure 1. Erythrocytes of red drum. a - location L1, b - location L2, c - location L3. The red arrow indicates the deformed erythrocyte nuclear/uneven nuclear-matter distribution. The blue arrow indicates the slightly alkaline erythrocytes.
Thin blood smear images of red blood cells with rouleaux formation morphology and normal morphology
<p>This dataset contains images of thin blood smear with normal red blood cell morphology and rouleaux red blood cell morphology. Ethical approval with approval number: NHREC/17/03//2018 was obtained from Kano state ministry of health. Blood samples from 100 malaria infected patients were collected from Asiya Bayero pediatric hospital, kano state, Nigeria. Thick and thin blood smear slides were prepared using field stain. To ensure there was no bias in slide preparation, slides used for hospital diagnosis prepared under limited and constrained conditions were used as such types of slides represent the true reality of malaria diagnosis in less developed countries.Thin blood smear microscopy was performed by an expert microscopist and each slide was labeled according to the presence of Rouleaux formation or not among others. Out of 100 samples collected, 28 samples had rouleaux formation morphology.</p> <p>A 12MP iPhone 10 camera was attached to a microscope’s eyepiece. Pictures of different field of views for each slide were captured using the iPhone’s camera. For each slide, a minimum of 10 different field of views were captured. 616 images were captured for slides with rouleaux formation. To create a balanced dataset an equal number, 616 images were also captured for slides with normal morphology. To increase the size and variation of the dataset. 312 Digital images of thin blood smear slides with Giemsa staining collected from Murtala Muhammad specialist hospital were added. out of the 312 images, 156 had rouleaux RBC morphology and 156 had normal RBC morphology. Image capture was conducted in the morning, afternoon and evening and in different rooms with different lighting conditions to introduce diverse levels of illumination in the images The captured images from both hospitals had a size of 4032x3024 pixels. The background of the images were cropped to give a size 2500x2500 which were then sliced to give a final size of 750x750 pixels. The final data set consists of 12,356 thin blood smear images with rouleaux formation morphology and 12,356 thin blood smear images with normal red blood cell morphology. Different CNN architectures were trained for the binary classification of the dataset.</p>
Red Blood Cell RedTell Dataset
<p>The dataset contains microscopic images of red blood cells (RBCs) and consists of two parts:</p> <p>1. dse_data.zip</p> <p>This dataset includes brightfield images of healthy control individuals obtained in the scope of the CoMMiTMenT study. The images are annotated on a single cell level for segmentation and classification (discocyte-stomatocyte-echinocyte sequence) purposes. </p> <p>2. anemia_data.zip</p> <p>This dataset includes brightfield and fluorescent images of RBCs of sickle cell disease (SCD) patients from the MemSID study as well as of thalassemia patients and healthy controls from the CoMMiTMenT study.</p> <p>The CoMMiTMenT study was funded by the European Seventh Framework Program under grant agreement number 602121 (CoMMiTMenT) and from the European Union’s FP7 Programme. The study protocols were approved by the Medical Ethical Research Board of the University Medical Center Utrecht, the Netherlands, under reference code 15/426M and by the Ethical Committee of Clinical Investigations of Hospital Clinic, Spain (IDIBAPS) under reference code 2013/8436. The MemSID study was performed at the University hospital Zurich (#NCT02615847 at https://clinicaltrials.gov/). The trial protocol was approved by the Ethics committee of Canton Zurich (KEK-ZH 2015-0297).</p>
White Blood Cells with cytoplasm and surrounding red blood cells
<p>This dataset is taken from doi:10.17632/w7cvnmn4c5.1 and is used for segmentation of irregular shaped white blood cells in 2D. We also provide dataset for cytoplasm and we trained StarDist and UNET models to be applied in the VollSeg setting on this dataset.</p>
Red blood cell cytoskeleton tomography data
<p>1) WT-14_MinorClean.mat - Three-dimensional image of a red cell cytoskeleton obtained by cryoelectron tomography. Edges were removed by running the following commands in Matlab:</p> <p>load WT-7_MinorClean.mat;<br> [M, N, P] = size(v);<br> [NN, MM, PP] = meshgrid(1:N,1:M,1:P);<br> v( MM > 790) = 0;<br> v( PP < 12) = 0;<br> v( PP > 70) = 0;</p> <p>To binarize the image, we used a threshold of -40, i.e. each voxel containing an intensity value less than -40 was considered to be a part of the cytoskeleton.</p> <p>2) ActinFilamentMASKED_BIN.mat - Structure of actin protofilament from Protein Data Bank after masking and binning.</p> <p>3) coordsWT-14sk.mat - Positions of actin protofilaments identified inside the tomogram after template matching.</p>
Inferring whole-organism metabolic rate from red blood cells in birds
<p>Metabolic rate is a key ecological variable that quantifies the energy expenditure needed to fuel almost all biological processes in an organism. Metabolic rates are typically measured at the whole-organism level (woMR) with protocols that can elicit stress responses due to handling and confinement, potentially biasing resulting data. Improved, non-stressful methodology would be especially valuable for measures of field metabolic rate, which quantifies the energy expenditure of free-living individuals. Recently, techniques to measure cellular metabolic rate (cMR) in mitochondria of blood cells have become available, suggesting that blood-based cMR can be a proxy of organismal aerobic performance. Aerobic metabolism actually takes place in the mitochondria. Quantifying cMR from blood samples offers several advantages such as direct estimates of metabolism and minimized disturbance of individuals. To our knowledge, the hypothesis that blood-based cMR correlates with woMR has not yet been directly tested.</p> <p>We measured cMR in red blood cells of captive great tits (<i>Parus major</i>), first during their morning activity period and second after subjecting them to a 2.5 h day-time respirometry protocol to quantify woMR. We predicted cMR to decrease as individuals transitioned from an active to a resting state. In the two blood samples we also assessed circulating corticosterone concentrations to determine the perceived disturbance of individuals. From respirometry traces we extracted initial and final woMR measures to test for a predicted positive correlation with cMR measures, while accounting for corticosterone concentrations.</p> <p>Indeed, cMR declined from the first to the second measurement. Furthermore, woMR and cMR were positively related in individuals that had relatively low corticosterone concentrations and displayed little locomotor activity throughout respirometry. By contrast, woMR and cMR covaried negatively in birds that increased corticosterone concentrations and activity levels substantially.</p> <p>Our results show that red blood cell cMR represents a proxy for woMR when birds do not display signs of stress, i.e. either before increases in hormonal or behavioral parameters have occurred or after they have abated. This method represents a valuable tool for obtaining metabolic data repeatedly and in free-living individuals. Our findings also highlight the importance of accounting for individual stress responses when measuring metabolic rate at any level.</p> <p>Metabolic rate is a key ecological variable that quantifies the energy expenditure needed to fuel almost all biological processes in an organism. Metabolic rates are typically measured at the whole-organism level (woMR) with protocols that can elicit stress responses due to handling and confinement, potentially biasing resulting data. Improved, non-stressful methodology would be especially valuable for measures of field metabolic rate, which quantifies the energy expenditure of free-living individuals. Recently, techniques to measure cellular metabolic rate (cMR) in mitochondria of blood cells have become available, suggesting that blood-based cMR can be a proxy of organismal aerobic performance. Aerobic metabolism actually takes place in the mitochondria. Quantifying cMR from blood samples offers several advantages such as direct estimates of metabolism and minimized disturbance of individuals. To our knowledge, the hypothesis that blood-based cMR correlates with woMR has not yet been directly tested.</p> <p>We measured cMR in red blood cells of captive great tits (<i>Parus major</i>), first during their morning activity period and second after subjecting them to a 2.5 h day-time respirometry protocol to quantify woMR. We predicted cMR to decrease as individuals transitioned from an active to a resting state. In the two blood samples we also assessed circulating corticosterone concentrations to determine the perceived disturbance of individuals. From respirometry traces we extracted initial and final woMR measures to test for a predicted positive correlation with cMR measures, while accounting for corticosterone concentrations.</p> <p>Indeed, cMR declined from the first to the second measurement. Furthermore, woMR and cMR were positively related in individuals that had relatively low corticosterone concentrations and displayed little locomotor activity throughout respirometry. By contrast, woMR and cMR covaried negatively in birds that increased corticosterone concentrations and activity levels substantially.</p> <p>Our results show that red blood cell cMR represents a proxy for woMR when birds do not display signs of stress, i.e. either before increases in hormonal or behavioral parameters have occurred or after they have abated. This method represents a valuable tool for obtaining metabolic data repeatedly and in free-living individuals. Our findings also highlight the importance of accounting for individual stress responses when measuring metabolic rate at any level.</p>
Standard Issue Transfusion Versus Fresher Red Blood Cell Use in Intensive Care- A Randomised Controlled Trial
ClinicalTrials.gov study NCT01638416. IPD Sharing: UNDECIDED. Countries: 5. Publications: 4.
Allo-HCT MUD for Non-malignant Red Blood Cell (RBC) Disorders: Sickle Cell, Thal, and DBA: Reduced Intensity Conditioning, Co-tx MSCs
ClinicalTrials.gov study NCT00957931. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Duration of Red Blood Cell Storage Prior to Transfusion
ClinicalTrials.gov study NCT02087514. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Efficacy and Safety of Roxadustat for Treatment of Anemia in Participants With Lower Risk Myelodysplastic Syndrome With Low Red Blood Cell Transfusion Burden
ClinicalTrials.gov study NCT03263091. IPD Sharing: NO. Countries: 16. Publications: 1.
Donor Iron Deficiency Study - Red Blood Cells From Iron-deficient Donors: Recovery and Storage Quality
ClinicalTrials.gov study NCT02889133. IPD Sharing: NO. Countries: 1. Publications: 3.
Hypoxic Red Blood Cells for Burns and Hematological Malignancies at Haukeland University Hospital
ClinicalTrials.gov study NCT05549232. IPD Sharing: NO. Countries: 1. Publications: 3.
Fresh Versus Old Red Blood Cells for Transfusion
ClinicalTrials.gov study NCT01319552. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Red Blood Cell Survival on a Commonly Used Diabetes Lab Test-HbA1c
ClinicalTrials.gov study NCT01204216. IPD Sharing: Not stated. Countries: 1. Publications: 2.
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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)
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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.