Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “Axoneme”
Mass spectrometry of axonemes from Tetrahymena thermophila CU428 and acetylation mutants
<p>Acetylation of α-tubulin at the lysine 40 residue (αK40) by the ATAT1/MEC-17 acetyltransferase influences the properties of microtubules and is a widespread phenomenon in eukaryotic cells. Previous research indicates that microtubules that undergo acetylation at αK40 are more stable and resilient to damage. Notably, αK40 acetylation represents the sole identified post-translational modification site within the microtubule lumen, suggesting its role in regulating the lateral interactions among protofilaments within the microtubule structure. This investigation focuses on evaluating the impact of tubulin acetylation on doublet microtubules present in the cilia of <em>Tetrahymena thermophila</em>, employing mass spectrometry analysis. Cilia samples derived from <em>Tetrahymena</em> wild type, acetylation mutants (K40R and MEC17-Knockout), and non-acetylation mutants (RIB72B-Knockout and RIB72AB-Knockout) underwent comparative mass spectrometry analysis. The results from mass spectrometry revealed a correlation between αK40 acetylation and phosphorylation within the ciliary structures.</p>
Mass spectrometry of axonemes from Tetrahymena thermophila CU428 and acetylation mutants
Open the record for dataset details and reuse information.
Twist - torsion coupling in beating axonemes
<p>The dataset published here was used to measure a<strong> high resolution 3D wavefom </strong>of isolated and <strong>reactivated axonemes from <em>Chlamydomonas reinhardtii</em></strong>.</p> <p><a href="https://doi.org/10.1101/2024.03.18.585533"><span><span>doi:</span> https://doi.org/10.1101/2024.03.18.585533 </span></a></p> <p>It was further used to show <strong>twist-torsion coupling </strong>in these axonemes.</p> <p>The data is organized in six folders:</p> <p><strong>1) high resoluton 3D averaged waveform of isolated and reactivated axonemes from <em>Chlamydomonas Reinhardtii</em>.</strong><br>Data files (MATLAB and txt format) contain the 3D coordinates (along the 3D arc-length) of 32 axonemal shapes that comprise one beat cycle. <br>A corresponding txt file describes the details of the dataset. </p> <p><strong>2) 3D waveforms of single isolated and reactivated axonemes from <em>Chlamydomonas Reinhardtii</em>.</strong><br>Data files (MATLAB and txt format) contain the 3D shapes of 17 individual axonemes obtained from defocused darkfield-microsopy images. <br>A corresponding txt file describes the details of the dataset.</p> <p><strong>3) Image Raw Data of single isolated and reactivated axonemes used to reconstruct the 3D waveform<br></strong>Movie files (multi-layer tif) of reactivated axonemes imaged with defocused-darkfield-microscopy. <br>A corresponding txt file describes the details of the dataset.<strong><br></strong></p> <p><strong>4) Calibration of defocused darkfield-microscopy. <br></strong>Data file (MATLAB) contains the relationship between the z-position relative to the focal plane and the full-width-at-half-maximum (FWHM) of the axoneme signal, measured normal to the centerline as well as the z-stack of imges (multi-layer tif) used to extract this relation. <br>A corresponding txt file describes the details of the dataset.</p> <p><strong>5)</strong> <strong>Distance between gold nano paricle (GNP) and the axonemal centerline as a function of the beat cycle</strong><br>Data file (MATLAB) contains 20 measurements of d_C (where d_C is the normal distance between the center position of the GNP and the axoneme centerline in 2D images) as a function of time. A corresponding txt file describes the details of the dataset.</p> <p><strong>6) Image Raw Data of single isolated and reactivated axonemes with attached GNPs used to measure d_C. <br></strong>Movie files (multi-layer tif) of reactivated axonemes with attached gold nano particles (GNPs) imaged with darkfield-microscopy. <br>A corresponding txt file describes the details of the dataset.</p>
Active fluctuations of axoneme oscillations scale with number of dynein motors
<p> </p> <p>The dataset published here was used to measure the<strong> phase fluctuations</strong> <strong>(frequency jitter) </strong>of isolated and <strong>reactivated axonemes from <em>Chlamydomonas reinhardtii </em></strong>as a function of the dynein motor density in these axonemes. <br>The corresponding article is published in PNAS: https://doi.org/10.1073/pnas.2406244121</p> <p>Axonemes were isolated from wt(cc-125) and oda1(cc-2228) cells.</p> <p>Reactivation was performed:<br>(1) after dynein extraction with different amounts of salt (KCL) or<br>(2) in the presence of different concentrations of ATP .</p> <p>For all experimental conditions we provide the following data files:<br><br></p> <p><strong>Movies of reactivated axonemes:</strong></p> <p>Reactivated axonemes were imaged with phase-contrast microscopy. Recorded movies are organized in folders (.zip) which are labeled according to the respective reactivation condition (KCL and ATP concentration as well as the <em>Chlamydomonas</em> strain, from which the axonemes were purified, e.g. <strong>50mM_KCl_750uM_ATP_ODA_Extracted.zip</strong>).</p> <p>Those folders contain (1) movie files (multilayer .tif) of single axonemes and (.txt) files with a corresponding number-label (with microscope, camera settings and experimental condition (<em>Chlamydomonas</em> strain, [ATP], [KCL]).</p> <p>Using the number-label, the corresponding data file can be identified. <br><br></p> <p><strong>Data files (for the corresponding movies):</strong></p> <p>The experimental data is organized in MATLAB (.mat) files. Those files contain shape and waveform information (see below) for the respective reactivation condition (axoneme type, [ATP], [KCL] detailed below the file name).</p> <p><strong>WT_KCL_master.mat</strong> - WT axonemes, KCL extracted and reactivated with 750uM ATP</p> <p><strong>0mM_KCl_750uM_ATP_WT_Extracted<br>50mM_KCl_750uM_ATP_WT_Extracted<br>100mM_KCl_750uM_ATP_WT_Extracted<br>200mM_KCl_750uM_ATP_WT_Extracted<br>300mM_KCl_750uM_ATP_WT_Extracted<br>400mM_KCl_750uM_ATP_WT_Extracted<br></strong></p> <p><strong>WT_ATP_master.mat </strong> - WT axonemes reactivated with different ATP concentraions</p> <p><strong>0mM_KCl_50uM_ATP_WT<br>0mM_KCl_100uM_ATP_WT<br>0mM_KCl_370uM_ATP_WT<br>0mM_KCl_500uM_ATP_WT<br>0mM_KCl_750uM_ATP_WT<br></strong></p> <p><strong>ODA_KCL_master.mat </strong>- ODA axonemes, KCL extracted and reactivated with 750uM ATP</p> <p><strong>0mM_KCl_750uM_ATP_ODA_Extracted<br>50mM_KCl_750uM_ATP_ODA_Extracted<br>100mM_KCl_750uM_ATP_ODA_Extracted<br>200mM_KCl_750uM_ATP_ODA_Extracted<br>300mM_KCl_750uM_ATP_ODA_Extracted<br></strong></p> <p><strong>ODA_ATP_master.mat</strong> - ODA axonemes reactivated with different ATP concentraions</p> <p><strong>0mM_KCl_70uM_ATP_ODA<br>0mM_KCl_100uM_ATP_ODA<br>0mM_KCl_370uM_ATP_ODA<br>0mM_KCl_500uM_ATP_ODA<br>0mM_KCl_750uM_ATP_ODA</strong></p> <p>Each file includes a data-cell ‘Master’ with a columns for the different experimental conditions (e.g. concentrations of ATP or KCL). Data-cells contain one structure for each axoneme. </p> <p> </p> <p>These structures have the following fields:</p> <p>nframe… number of frames of the dataset</p> <p>phi_in_rad… phase angle (beat-cycle-phase) (rad)</p> <p>tangent_angle_psi_in_rad… the tangent angle for 24 positions along arc-length (rad)</p> <p>xy_in_micron… the x,y positions (µm)</p> <p>dt_in_second… time between adjacent frames (second)</p> <p>ds_in_micron… spacing between adjacent arc-length positions (µm)</p> <p>f0_in_Hz… beat frequency (Hz)</p> <p>A… beat amplitude (arc-length average) (rad)</p> <p>Q… quality factor</p> <p>sexp… string with experiment label</p> <p>KCL_in_mM… KCL concentration (mM) used for dynein extraction</p> <p>ATP_in_uM… ATP concentration (mM) used for reactivation</p> <p>File… filename, includes a number-label that corresponds to the imaging data provided</p>
Evaluation of the Axonemal Dynein Heavy Chain 5 and Creatine Kinase Concentration in Cervical Fluid for Early Detection of the Ectopic Pregnancy
ClinicalTrials.gov study NCT02995356. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ciliopathy patient variants reveal organelle-specific functions for TUBB4B in axonemal microtubules
GEO Series GSE246488. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
CEP290-deficiency disrupts ciliary axonemal architecture in human iPSC-derived cerebral organoids
GEO Series GSE293717. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
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.