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278 results for “cytometry”
Bacterial abundances by flow cytometry - collected from the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.
<p>Seawater surface samples (5 m) were collected every 6 hours from the ship’s underway pump. In addition, vertical profiles (6 depths, generally from 5 to 100-150 m) were sampled from CTD casts using a SBE 911 Plus attached to a rosette of 24 12-L PVC Niskin bottles. This dataset presents the abundances of high-DNA containing and low-DNA containing bacteria from seawater samples collected from the ship’s underway pump and CTDs. Samples were fixed with paraformaldehyde and glutaraldehyde and stored at -80ºC. In the lab, they were thawed, stained with SYBR-Green, and counted in a Cube 8 flow cytometer (SYSMEX PARTEC) based on green fluorewscence. Samples were collected around the Southern Ocean on the R/V Akademik Tryoshnikov in the austral summer of 2016/2017, as part of the Antarctic Circumnavigation Expedition (ACE).</p>
Single cell data from Imaging Mass Cytometry of mouse lung tumours treated with KRAS-G12C and immune checkpoint inhibitors (Dataset 3)
Open the record for dataset details and reuse information.
Dataset for "Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions" in the Annals of Applied Statistics
<p>This is the dataset to be used for the paper in the Annals of Applied Statistics titled:</p> <p><strong>"Modeling Cell Populations Measured By Flow Cytometry With Covariates Using Sparse Mixture of Regressions"</strong></p> <p>Download, unzip and place in the ./<strong>paper-data</strong> directory in the R package repository <a href="https://github.com/sangwon-hyun/flowmix">https://github.com/sangwon-hyun/flowmix</a>. Then, run the code in <strong>./paper-code</strong> to produce the figures and tables.</p>
Optimizing methodology for the detection of H3K27me3 levels using flow cytometry
<p>Optimizing methods to detect H3K27m3 levels using flow cytometry in patient AML cells.</p>
Data from "Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering"
<p>Data from "Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering" published in PNAS.</p>
Flow Cytometry Data files for Settle et al. Nature Communications, B2 integrins impose a mechanical checkpoint on macrophage phagocytosis
<p>FCS Data files for all flow cytometry results for Settle et al, B2 integrins impose a mechanical checkpoint on macrophage phagocytosis, to be published in Nature Communications. </p>
Imagestream flow cytometry of Toxoplasma IMC6 knockout parasites
<p>Evaluate the morphology of extracellular Toxoplasma parasites using imaging flow cytometry (ImageStream). The six strains include wild-type, IMC6 knockout, complemented with full-length or three different truncated versions of IMC6. Samples were prepared by fixing extracellular parasites with paraformaldehyde and staining with a peripheral membrane marker. Each image was taken with brightfield and AF488 channels.</p>
Raw flow cytometry data files (fcs files) part 8
<p>These FCS files are raw data for Figure 6A_2 of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 7
<p>These FCS files are raw data for Figure 6A_1 the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 3
<p>These FCS files are raw data for Figure 3C, 4A and S2D of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 6
<p>These FCS files are raw data for Figure 5J-L of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 4
<p>These FCS files are raw data for Figure 3H of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 1
<p>These FCS files are raw data for Figure 1C and S2A-C of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 2
<p>These FCS files are raw data for Figure 2D, 2E, 3B, 3D and 3E of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 5
<p>These FCS files are raw data for Figure 5E-I, 5M and 5N of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Raw flow cytometry data files (fcs files) part 9
<p> </p> <p>These FCS files are raw data for Figure 6B of the following manuscript:</p> <p><strong>Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade</strong></p> <p>Junjie Li<sup>#1,6</sup>, Yuandong Luo<sup>3</sup>, Quanlan Fu<sup>3</sup>, Shuxian Tang<sup>2</sup>, Pingping Zhang<sup>2</sup>, Ian H. Frazer<sup>5</sup>, Xiaosong Liu<sup>#1, 2</sup>, Tianfang Wang<sup>#4*</sup>, Guoying Ni<sup>#1, 2*</sup></p> <p>1. Key Laboratory of Cancer Immunotherapy of Guangdong tertiary education, Guangdong CAR-T Treatment-Related Adverse Reaction Key Laboratory, The First Affiliated Hospital, Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou 510080, China</p> <p>2. Cancer Research Institute, Foshan First People’s Hospital, Foshan, Guangdong 528000, China</p> <p>3. Medical School of Guizhou University, Guiyang, Guizhou 550000, China</p> <p>4. Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore BC, QLD 4558, Australia</p> <p>5. Diamantia Institute, Translational Research Institute, University of Queensland, Woolloongabba, Brisbane, QLD 4002, Australia</p> <p>6. Zhongao Biopharmaceutical Technology (Guangdong) Co., Ltd, Zhongshan, Guangdong 528403, China</p> <p>* Corresponding author: twang@usc.edu.au, ngy2003@gmail.com</p>
Image flow cytometry data of T-cells from healthy and Sezary patients
<p>The purpose of our experiments was to investigate the morphology of T-cells using a custom build image flow cytometry device. Blood (T-cells) from healthy donors and Sezary patients was imaged.</p>
Imaging Mass Cytometry of human normal colon mucosa (CLN1-6) from: A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially resolved tissue phenotyping at single-cell resolution.
<p>Four µm-thick sections were cut from each block of samples CLN1-CLN6 with a microtome and used for staining with a panel of 26 antibodies targeting the main immune, stromal and epithelial cell populations of the gastrointestinal tract (Supplementary Table 2). The optimal dilution of each antibody in the panel was identified by staining and ablating FFPE appendix sections. The resulting images were reviewed by a mucosal immunologist (J.S.) and the dilution giving the best signal to background ratio was selected for each antibody (Supplementary Table 2). To perform the staining for IMC, slides were dewaxed after a one-hour incubation at 60°C, rehydrated and heat-induced antigen retrieval was performed with a pressure cooker in Antigen Retrieval Reagent-Basic (R&D Systems). Slides were incubated in a 10% BSA (Sigma), 0.1% Tween (Sigma), and 2% Kiovig (Shire Pharmaceuticals) Superblock Blocking Buffer (Thermo Fisher) blocking solution at room temperature for two hours. Each antibody was added to a primary antibody mix at the selected concentration in blocking solution and incubated overnight at 4°C. After two washes in PBS and PBS-0.1% Tween, the slides were treated with the DNA intercalator Cell-ID™ Intercalator-Ir (Fluidigm) (containing the two iridium isotopes 191Ir and 193Ir) 1.25 mM in a PBS solution. After a 30-minute incubation, the slides were washed once in PBS and once in MilliQ water and air-dried. The stained slides were then loaded in the Hyperion Imaging System (Fluidigm) imaging module to obtain light-contrast high resolution images of approximately four mm<sup>2</sup>. These images were used to select the ROI in each slide. For CLN1-CLN6, 1 mm<sup>2 </sup>ROIs were selected to contain the full thickness of the colon mucosa, with epithelial crypts in longitudinal orientation. ROIs were ablated at a o µm/pixel resolution and 200 Hz frequency.</p> <p>Twenty-eight images from 26 antibodies (Supplementary Table 2) and two DNA intercalators were obtained from the raw .txt files of the ablated regions in CLN1-CLN6 using the data extraction process.</p>
Abundance, Biovolume, and Biomass of Synechococcus and Eukaryote Pico- and Nano- Plankton From Continuous Underway Flow Cytometry During NES-LTER Transect Cruises, Ongoing Since 2018
<p>"These data represent the abundance, biovolume, and biomass of prokaryotic and eukaryotic picoplankton and nanoplankton sampled continuously underway during Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2018. Samples were obtained with an Attune NxT Flow Cytometer sampling at approximately 2-min intervals from the underway science seawater. Cells were identified and enumerated from the flow cytometry data files based on their scattering, phycoerythrin (575 nm) and chlorophyll (680 nm) fluorescence signals." Time is in UTC. https://portal.edirepository.org/nis/metadataviewer?packageid=knb-lter-nes.17.1</p>
DNA-barcoded signal amplification for imaging mass cytometry enables sensitive and highly multiplexed tissue imaging
<p>Tiff images, single cell data, and cell masks for the publication "DNA-barcoded signal amplification for imaging mass cytometry enables sensitive and highly multiplexed tissue imaging". The code used to produce the results of this study is available at https://github.com/BodenmillerGroup/SABER-IMC_publication</p>
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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.
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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.