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670 results for “HeLa”

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zenodo32/100

Polarisation camera dSTORM datasets of actin in fixed HeLa cells labeled with phalloidin-Alexa Fluor 647

<p>Polarisation camera dSTORM dataset of the actin of fixed HeLa cells labeled with phalloidin-Alexa Fluor 647.</p> <p><strong>Image acquisition was performed as follows:</strong></p> <p>Imaging was performed on a widefield microscope equipped with a polarisation camera (CS505MUP, Thorlabs). The sample was excited using a 638 nm laser at quasi-TIRF, with a measured power density at the image plane of 3.51 kW/cm^2. A multiband dichroic (Di03-R405/488/561/635-t1, Semrock) was used to seperate fluorescence from the excitation. The emission was filtered using a long-pass filter (BLP01-635R, Semrock) before detection. An exposure time of 30 ms was used.</p> <p><strong>Samples were prepared as follows:</strong></p> <p>Cell culture: HeLa TDS cells were cultured in DMEM (Gibco, Invitrogen) supplemented with 10 % Fetal Bovine Serum (FBS, Life Technologies), 1 % penicillin/streptomycin (Life Technologies), and 1 % glutamine (Life Technologies) at 37 &deg;C + 5 % CO_2. Cells were periodically tested for mycoplasma contamination and passaged 3 times per week. Cells were plated at low density on high-precision glass coverslips (MatTek, P35G-0.170-14-C) 1 day prior to fixation for dSTORM experiments.</p> <p>Labeling: Cells were simultaneously fixed and permeabilized in cytoskeleton buffer (CBS, 10 mM MES, 138 mM KCl, 3 mM MgCl_2, 2 mM EGTA, 4.5 % sucrose w/v, pH 7.4), + 4 % paraformaldehyde (PFA) and 0.2 % Triton for 6 minutes at 37 &deg;C, and further fixed in CBS + 4 % PFA for 14 minutes at 37 &deg;C. Post-fixation, cells were washed x3 in PBST (PBS supplemented with 0.1 % Tween) and permeabilized a second time in PBS + 0.5 % Triton for 5 minutes at room temperature. The samples were then washed 3 times in PBST and blocked for 30 minutes in 5 % BSA. Cells were washed x3 in PBST and then incubated with Alexa Fluor&trade; 647 Phalloidin (A22287, Invitrogen, 1:50 in PBS) for 1 h in the dark, followed by x2 washes in PBS. Prior to dSTORM imaging, PBS was replaced with dSTORM imaging buffer (base buffer consisting of 0.56 M glucose, 50 mM Tris (pH 8.5), and 10 mM NaCl supplemented with 5 U/mL pyranose oxidase (Sigma, P4234), 10 mM cysteamine (Sigma, 30070), 40 &micro;g/mL catalase (Sigma, C100) and 2 mM cyclooctatetraene (Sigma, 138924).</p>

opencc-by-4.0Feb 2024View details →
zenodo32/100

VIPER Test Image HeLa

<p>3000 x 3000 px test images for the VIPER pipeline</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Hela Cell dataset with annotations for dividing and non dividing cells (TYX)

<p>This dataset was created to be used for training ONEAT networks. Each movie is accompanied by 2 csv files, one containing the location of dividing cells and other one containing the location of non-dividing cells. The training data was created using yoloneat-viz repo:&nbsp;https://github.com/Kapoorlabs-paris/yoloneat-viz/blob/main/examples/TrainingDataMaker.ipynb. The notebook can be modified to include N types of cell events and the program is in no way limited to creating classification of just 2 type of cell events.&nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Training dataset of Hela cells for oneat network training

<p>Here we present the tif files to be used to trainthe Oneat networks for detection&nbsp;of division events for Hela cells imaged under different imaging modalities and presented originally here:&nbsp;https://zenodo.org/record/6139958#.Yjcjl3rMJD8</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

TAIL-seq for PABPC1 KD HeLa samples (internal ID: hs20), part 3/4

<p>TAIL-seq, HiSeq 2500&nbsp;run (internal ID: hs20)</p> <p>spkN, spk8, spk16, spk32, spk64, spk118, spk128 spike-ins</p> <p>siCont, siPABPC1 HeLa samples</p> <p>This dataset contains&nbsp;cluster intensities of fluorescence signals that are repacked as an HDF5 formatted file&nbsp;(part 3/4).</p>

opencc-by-4.0Apr 2018View details →
zenodo32/100

TAIL-seq for PABPC1 KD HeLa samples (internal ID: hs20), part 2/4

<p>TAIL-seq, HiSeq 2500&nbsp;run (internal ID: hs20)</p> <p>spkN, spk8, spk16, spk32, spk64, spk118, spk128 spike-ins</p> <p>siCont, siPABPC1 HeLa samples</p> <p>This dataset contains&nbsp;cluster intensities of fluorescence signals that are repacked as an HDF5 formatted file (part 2/4).</p>

opencc-by-4.0Apr 2018View details →
zenodo32/100

TAIL-seq for PABPC1 KD HeLa samples (internal ID: hs20), part 4/4

<p>TAIL-seq, HiSeq 2500&nbsp;run (internal ID: hs20)</p> <p>spkN, spk8, spk16, spk32, spk64, spk118, spk128 spike-ins</p> <p>siCont, siPABPC1 HeLa samples</p> <p>This dataset contains&nbsp;cluster intensities of fluorescence signals that are repacked as an HDF5 formatted file&nbsp;(part 4/4).</p>

opencc-by-4.0Apr 2018View details →
zenodo32/100

TAIL-seq for PABPC1 KD HeLa samples (internal ID: hs20), part 1/4

<p>TAIL-seq, HiSeq 2500&nbsp;run (internal ID: hs20)</p> <p>spkN, spk8, spk16, spk32, spk64, spk118, spk128 spike-ins</p> <p>siCont, siPABPC1 HeLa samples</p> <p>This dataset contains&nbsp;cluster intensities of fluorescence signals that are repacked as an HDF5 formatted file&nbsp;(part 1/4).</p>

opencc-by-4.0Apr 2018View details →
zenodo32/100

FIGURE 1. Samadinia hela n in A new species and new record of Samadinia Ng & Richer de Forges, 2013 (Crustacea: Brachyura: Epaltidae) from deepwater off north-eastern Queensland, Australia

FIGURE 1. Samadinia hela n. sp., holotype male, 12.7 × 10.2 mm (QM-W16967); A, dorsal view of carapace; B, ventral view showing sternum and pterygostomial plates; C, oblique dorsal view to show disposition of spines; D, right lateral view; E, left lateral view; F, ventral view of thorax showing male pleon; G, posterior ventral view of male pleon; H, right chela.

opennotspecifiedMar 2023View details →
zenodo32/100

FIGURE 3. Samadinia hela n in A new species and new record of Samadinia Ng & Richer de Forges, 2013 (Crustacea: Brachyura: Epaltidae) from deepwater off north-eastern Queensland, Australia

FIGURE 3. Samadinia hela n. sp., holotype male, 12.7 × 10.2 mm (QM-W16967), Queensland, left G1. A, ventral view; B, ventral view of distal portion; C, dorsal view; D, dorsal view of distal portion. Scale bar = 1 mm.

opennotspecifiedMar 2023View details →
zenodo32/100

Single-Cell Imaging Dataset: Hela FUCCI Cell Fluorescence Analysis

<p>Hela FUCCI Cell Dataset: Fluorescence Intensity and Segmentation</p> <p>The &quot;Hela FUCCI Cell Dataset&quot; is a comprehensive collection of fluorescence microscopy data capturing the fluorescence intensity of Hela FUCCI cells. The dataset encompasses a diverse range of cellular images acquired through fluorescence imaging techniques, offering valuable insights into the cellular behavior and fluorescent signal patterns.</p> <p>Contents:</p> <p>Fluorescence Intensity Data: The dataset includes fluorescence images of Hela FUCCI cells captured in both red and green channels. These images represent the intensity levels of cellular fluorescence signals.</p> <p>Purpose:<br> The dataset serves as a resource for researchers and scientists interested in cellular fluorescence analysis. It supports investigations into cellular dynamics, cell cycle studies, and fluorescence signal patterns. Researchers can utilize this dataset to develop and evaluate image processing, analysis, and machine learning techniques for cell detection and fluorescence quantification.</p> <p>Data Collection:<br> The data were collected using fluorescence microscopy techniques, capturing the distinct fluorescence signals emitted by Hela FUCCI cells.&nbsp;</p> <p>Usage:<br> Researchers can use this dataset to:</p> <p>Investigate fluorescence patterns and intensities of Hela FUCCI cells.<br> Develop and validate machine learning algorithms for cell segmentation and detection.<br> Explore cellular behaviors and dynamics under various experimental conditions.</p> <p>Citation:<br> If you use this dataset in your research, please cite the original source to acknowledge its contribution.</p> <p>Access and Availability:<br> The dataset is openly available through Zendo, accessible via the following link: https://zenodo.org/. Researchers are encouraged to explore, analyze, and contribute to the dataset&#39;s applications and advancements in cellular fluorescence analysis.</p>

opencc-by-4.0Aug 2023View details →
dryad32/100

High throughput measurement of single HeLa cell volume growth and cell cycle progression using FXm

Open the record for dataset details and reuse information.

publicJan 2022View details →
zenodo28/100

Epigenomic profiling of TASOR in Hela cells using ChIP, CUT&RUN and CUT&Tag

<p>Example bigwig coverage tracks illustrating TASOR-regulated H3K9me3 and TASOR genome binding.</p> <p>Mapped to hg38.</p> <p>For detailed methods, see linked preprint.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

LBPA/Cholesterol screen data raw images HeLa MZ cells

<p>Raw images of Prestwick compound screen on HeLa MZ cells</p>

opencc-by-4.0Mar 2019View details →
zenodo28/100

hela_mod3_processed

<div> <div> <div>Reference:</div> <div>&nbsp;</div> </div> </div> <div> <div> <div>Sharma, K.; D&rsquo;Souza, R. C. J.; Tyanova, S.; Schaab, C.; Wiśniewski, J. R.; Cox, J.; Mann, M.</div> <div>Ultradeep Human Phosphoproteome Reveals a Distinct Regulatory Nature of Tyr and Ser/Thr-Based Signaling. Cell Rep. 2014, 8 (5), 1583&ndash;1594, DOI: [10.1016/j.celrep.2014.07.036](https://doi.org/10.1016/j.celrep.2014.07.036)</div> </div> </div> <div>&nbsp;</div> <div> <div> <div>All datasets were implemented and curated from:</div> <div>&nbsp;</div> </div> </div> <div> <div> <div>Ma, C.; Ren, Y.; Yang, J.; Ren, Z.; Yang, H.; Liu, S.</div> <div>Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning. Anal. Chem. 2018, 90 (18), 10881&ndash;10888. DOI: [10.1021/acs.analchem.8b02386](https://doi.org/10.1021/acs.analchem.8b02386)</div> </div> </div>

opencc-by-4.0Sep 2024View details →
geo24/100

Nascent-seq of HeLa cells after rapid depletion of SRSF5 using hGRAD for 2h, 8h and 16h

GEO Series GSE229324. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2023View details →
geo24/100

Nuclear Scaffold Attachment Sites in HeLa Cells Across 1% of the Human Genome

GEO Series GSE26477. Homo sapiens. 1 samples. Type: Genome binding/occupancy profiling by genome tiling array.

openGEO-OpenMar 2011View details →
geo24/100

PARCLIP analysis of NONO and SFPQ from U2OS and Hela cells

GEO Series GSE113349. Homo sapiens. 4 samples. Type: Other.

openGEO-OpenJun 2018View details →
geo24/100

RNA sequencing analysis for cellular metabolic pathway in MARCHF6 Knock-Out HeLa cell lines

GEO Series GSE173282. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo24/100

Viral determinants in H5N1 influenza A virus enable productive infection of HeLa cells

GEO Series GSE140759. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2019View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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