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185 results for “flow cytometry”
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>
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>
Discrete Flow Cytometry of Underway Samples from TN413 Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the University of Washington School of Oceanography 2023 undergraduate senior thesis cruise (TN413) oceanographic research cruise from Hawaii to Fiji. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Study of Platelets Sialylation by Flow Cytometry for the Differential Diagnosis of ICT
ClinicalTrials.gov study NCT03421392. IPD Sharing: NO. Countries: 1. Publications: 2.
Neutrophil Biomarker Test for Predicting Clinical Benefit From Immunotherapy Based on Flow Cytometry Analysis
ClinicalTrials.gov study NCT07246759. IPD Sharing: UNDECIDED. Countries: 3. Publications: 8.
Flow Cytometry Applied to the Diagnosis of Peri-anaesthesic Reactions
ClinicalTrials.gov study NCT01305161. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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
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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.