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777 results for “GFP”
Cortical slice labelled with anti GFP and VAMP2 antibodies - sample image for software testing of "Contacting synapse" protocol
<p><strong>Image 1.tif is a Brain slice</strong>. This 16 bits confocal stack of pictures ((801x711 pixels x33 z slices - pixel size 78.17 nm) of a brain slice has been taken at 93x (LeicaHC PL APO CS2 93x/1.30 GLYC) in sequential mode with two channels : one dedicated to the GFP detection, and the other one to synpatic boutons labelled with VAMP2 protein. VAMP2 protein are expressed at glutamatergic presynaptic sites and is usually found apposed to Post Synaptic Density. This is a good sample to test "contacting synapse" software. Here GFP cells were electroporated with various plasmid. The aim of the software is to identify if expression of those plasmid within the GFP labelled cell, influence the density of synapse contacting this GFP cells. Here presynaptic contact are identified through the use of antibodies to VAMP2 proteins.</p>
GFP-GOWT1 mouse stem cells TIFF file
<p>This is accompanying file to the CellMAPtracer software (<a href="https://doi.org/10.5281/zenodo.3878087">https://doi.org/10.5281/zenodo.3878087</a>).</p>
Data - Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 1. Polymer-polymer systems
<p><strong>Overview</strong></p> <p>The production of recombinant biopharmaceuticals is highly dependent of a proper choice of the downstream processing stages. Particularly, the purification that must ensure that all the endotoxins (lipopolysaccharide - LPS) are efficiently removed from the final product. This dataset contains the raw data and statistical analysis for the research entitled - "Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 1. Polymer-polymer systems". </p> <p><strong>Info</strong></p> <p>ANOVA_Turkey_Sub.R <- code for ANOVA analysis in R statistic 3.3.3 <br> glm.R <- code for GLM analysis in R statistic 3.3.3<br> K&REC_LPS_PEG_NaPA.xlsx <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) and recover (REC) for ANOVA analysis<br> K&REC_LPS_PEG_NaPA_K.docx <- File with ANOVA result of partition coefficient (K) for GFP<br> K&REC_LPS_PEG_NaPA_REC.docx <- File with ANOVA result of recover (REC) for GFP <br> K_GFP_Pol_005.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.05M salt assays <br> K_GFP_Pol_005.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.05M salt assays <br> K_GFP_Pol_005_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.05M salt assays <br> K_GFP_Pol_025.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.25M salt assays <br> K_GFP_Pol_025.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.25M salt assays <br> K_GFP_Pol_025_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.25M salt assays <br> REC_GFP_Pol_005.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.05M salt assays <br> REC_GFP_Pol_005.doc <- File with GLM analysis of GFP recover (REC) in 0.05M salt assays <br> REC_GFP_Pol_005_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.05M salt assays <br> REC_GFP_Pol_025.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.25M salt assays <br> REC_GFP_Pol_025.doc <- File with GLM analysis of GFP recover (REC) in 0.25M salt assays <br> REC_GFP_Pol_025_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.25M salt assays <br> REM_LPS_PEG_NaPA.docx <- File with ANOVA result of LPS removal <br> REM_LPS_PEG_NaPA.xlsx <- File with raw values organized in a spreadsheet of LPS removal for ANOVA analysis<br> Stability_GFP_PEG_NaPA.docx <- File with ANOVA result of GFP stability<br> Stability_GFP_PEG_NaPA.xlsx <- File with raw values organized in a spreadsheet of GFP stability results for ANOVA analysis</p> <p>REM_LPS_Pol_005.csv <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.05M salt assays <br> REM_LPS_Pol_005.doc <- File with GLM analysis of LPS removal (REM) in 0.05M salt assays <br> REM_LPS_Pol_005_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.05M salt assays <br> REM_LPS_Pol_025.csv <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.25M salt assays <br> REM_LPS_Pol_025.doc <- File with GLM analysis of LPS removal (REM) in 0.25M salt assays <br> REM_LPS_Pol_025_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays</p> <p>K_GFP_Pol_025_NaCl_Li2SO4.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.25M salt assays comparing NaCl and Li2SO4 effect <br> K_GFP_Pol_025_NaCl_Li2SO4.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.25M salt assays comparing NaCl and Li2SO4 effect <br> K_GFP_Pol_025_NaCl_Li2SO4_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.25M salt assays comparing NaCl and Li2SO4 effect </p> <p>REM_LPS_Pol_KI_0.05_vs_0.25.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in KI assays comparing salt concentration effect <br> REM_LPS_Pol_KI_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in KI assays comparing salt concentration effect<br> REM_LPS_Pol_KI_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in KI assays comparing salt concentration effect<br> REM_LPS_Pol_KNO3_0.05_vs_0.25.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in KNO3 assays comparing salt concentration effect <br> REM_LPS_Pol_KNO3_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in KNO3 assays comparing salt concentration effect<br> REM_LPS_Pol_KNO3_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in KNO3 assays comparing salt concentration effect<br> REM_LPS_Pol_Li2SO4_0.05_vs_0.25.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in Li2SO4 assays comparing salt concentration effect <br> REM_LPS_Pol_Li2SO4_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in Li2SO4 assays comparing salt concentration effect<br> REM_LPS_Pol_Li2SO4_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in Li2SO4 assays comparing salt concentration effect<br> REM_LPS_Pol_NaCl_0.05_vs_0.25.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in NaCl assays comparing salt concentration effect <br> REM_LPS_Pol_NaCl_0.05_vs_0.25.doc <- File with GLM analysis of GFP partition coefficient (K) in NaCl assays comparing salt concentration effect <br> REM_LPS_Pol_NaCl_0.05_vs_0.25_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in NaCl assays comparing salt concentration effect</p> <p> </p> <p><strong>Annotation</strong></p> <p>12/12 - Concentration of 12% of each polymer PEG/NaPA</p> <p>16/16 - Concentration of 16% of each polymer PEG/NaPA</p> <p>P/N - PEG/NaPA</p> <p>10e4, 10e5, 10e6 - Concentration of LPS in scientific notation - 10000, 100000, 100000 EU/mL</p> <p>poly - Polymer</p> <p>salt - Salt concentration in the assay</p> <p>tsalt - Type of salt in the assay (NaCl, KNO3, KI and Li2SO4)</p> <p>lps - lipopolysaccharide</p> <p>K - GFP partition coefficient</p> <p>REM - LPS removal</p> <p>REC - GFP recover</p> <p>wo_salt - Assay without salt addition</p> <p><strong>Acknowledgements</strong></p> <p>The authors are grateful for financial support from FAPESP (São Paulo Research Foundation, Brazil) through the following projects: 2005/60159-7; 2007/51978-0; 2014/16424-7; and 2014/19793-3. The authors also acknowledge the support from CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil) through the process #0366/09-9 and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil).</p> <p><strong>Consider citing our work. </strong></p> <p>1. Work in progress...</p>
Data - Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 2. Nonionic micellar systems
<p><strong>Overview</strong></p> <p>The production of recombinant biopharmaceuticals is highly dependent of a proper choice of the downstream processing stages. Particularly, the purification that must ensure that all the endotoxins (lipopolysaccharide - LPS) are efficiently removed from the final product. This dataset contains the raw data and statistical analysis for the research entitled - "Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 2. Nonionic micellar systems". </p> <p><strong>Info</strong></p> <p>ANOVA_Turkey_Sub.R <- code for ANOVA analysis in R statistic 3.3.3 <br> glm.R <- code for GLM analysis in R statistic 3.3.3<br> K&REC_ORG_ANOVA.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) and recover (REC) for ANOVA analysis</p> <p>K_ORG_ANOVA.docx <- File with ANOVA result of partition coefficient (K) for GFP</p> <p>REC_ORG_ANOVA.docx <- File with ANOVA result of partition coefficient (REC) for GFP</p> <p>REM_LPS_ORG_ANOVA.csv <- File with raw values organized in a spreadsheet of LPS removal for ANOVA analysis</p> <p>REM_LPS_ORG_ANOVA.docx <- File with ANOVA result of removal of LPS</p> <p>Stability__ORG_ANOVA.csv <- File with raw values organized in a spreadsheet of GFP stability for ANOVA analysis</p> <p>Stability__ORG_ANOVA.docx <- File with ANOVA result of GFP stability</p> <p>K_ORG_glm_005.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.05M salt assays </p> <p>K_ORG_glm_005.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.05M salt assays </p> <p>K_ORG_glm_005_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.05M salt assays </p> <p>K_ORG_glm_025.csv <- File with raw values organized in a spreadsheet of GFP partition coefficient (K) for GLM analysis in 0.25M salt assays </p> <p>K_ORG_glm_025.doc <- File with GLM analysis of GFP partition coefficient (K) in 0.25M salt assays </p> <p>K_ORG_glm_025_QQ.png <- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.25M salt assays </p> <p>REC_ORG_glm_005.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.05M salt assays</p> <p>REC_ORG_glm_005.doc <- File with GLM analysis of GFP recover (REC) in 0.05M salt assays </p> <p>REC_ORG_glm_005_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.05M salt assays </p> <p>REC_ORG_glm_025.csv <- File with raw values organized in a spreadsheet of GFP recover (REC) for GLM analysis in 0.25M salt assays</p> <p>REC_ORG_glm_025.doc <- File with GLM analysis of GFP recover (REC) in 0.25M salt assays </p> <p>REC_ORG_glm_025_QQ.png <- Residual quantile plot of GLM analysis of GFP recover (REC) in 0.25M salt assays </p> <p>REM_ORG_glm_005.csv <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.05M salt assays</p> <p>REM_ORG_glm_005.doc <- File with GLM analysis of LPS removal (REM) in 0.05M salt assays </p> <p>REM_ORG_glm_005_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays</p> <p>REM_ORG_glm_025.csv <- File with raw values organized in a spreadsheet of LPS removal (REM) for GLM analysis in 0.25M salt assays</p> <p>REM_ORG_glm_025.doc <- File with GLM analysis of LPS removal (REM) in 0.25M salt assays </p> <p>REM_ORG_glm_025_QQ.png <- Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays</p> <p> </p> <p><strong>Annotation</strong></p> <p>12/12 - Concentration of 12% of each polymer PEG/NaPA</p> <p>16/16 - Concentration of 16% of each polymer PEG/NaPA</p> <p>P/N - PEG/NaPA</p> <p>10e4, 10e5, 10e6 - Concentration of LPS in scientific notation - 10000, 100000, 100000 EU/mL</p> <p>poly - Polymer</p> <p>salt - Salt concentration in the assay</p> <p>tsalt - Type of salt in the assay (NaCl, KNO3, KI and Li2SO4)</p> <p>lps - lipopolysaccharide</p> <p>K - GFP partition coefficient</p> <p>REM - LPS removal</p> <p>REC - GFP recover</p> <p>wo_salt - Assay without salt addition</p> <p><strong>Acknowledgements</strong></p> <p>The authors are grateful for financial support from FAPESP (São Paulo Research Foundation, Brazil) through the following projects: 2005/60159-7; 2007/51978-0; 2014/16424-7; and 2014/19793-3. The authors also acknowledge the support from CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil) through the process #0366/09-9 and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil).</p> <p><strong>Consider citing our work. </strong></p> <p>1. Work in progress...</p>
Design and cloning of a pair of split-GFP constructs to examine one of the split-sites for SCN1A
<p>Design and cloning of split-GFP constructs to investigate a potential split-sites for SCN1A fragments complementation.</p>
HRAS_GFP zebrafish Embryo z-stack and 3D reconstruction visualized through LSFM
<p>A 2dpf zebrafish larvae is imaged through a custom developed LSFM setup developed at ICFO, at the Super-resolution Light microscopy and Nanoscopy (SLN) facility, with a resolution of 1 um, and with a double illumnation scheme.</p> <p>Pixel size is 0.43 um. Voxel depth is 2 um.</p> <p>The transgenic line is expressing HRAS_GFP labeling.</p> <p>The z-stack and corresponding 3D reconstruction are showed.</p> <p> </p> <p> </p>
uncropped western blots for analysis of RPN13 ubiquitylation and NRF1 activation by protein aggregates, as well as source data for qPCR plots and flow cytometry gating and FCS files for agDD-GFP in HeLa or HEK cells
<p>This entry contains uncropped blots for Fig 4D and Fig S4C, Fig. 5B, Fig S5 and Fig S6, and the raw FCS files for Flow Cytometry data in doi.org/10.1101/2024.08.30.610524.</p>
Urbanus and Cosgrove Nature Communications (2023) - scRNAseq fastq files GFP positive sample in Figure 2
<p>This dataset contains .fastq files for the GFP negative sample in the scRNAseq dataset used in Figures 2. For any questions about this dataset please contact Leila Perie (leile.perie@curie.fr)</p>
Early Drosophila Spaghetti-Squash-GFP FRAP
Open the record for dataset details and reuse information.
Automated bio-AFM generation of large mechanome data set and their analysis by machine learning to classify prostatic cell lines_Training base 100 PC3-GFP
Open the record for dataset details and reuse information.
RPE-1 GFP-H2B iCas9 sgFBXW7-A cell undergoing mitosis with a lagging chromosome that forms a micronucleus
<p>Zeiss AxioObserver video showing an RPE-1 GFP-H2B iCas9 sgFBXW7-A cell undergoing mitosis with a lagging chromosome that forms a micronucleus. Cells were treated with 1 μg/mL doxycycline for 96 hours to induce Cas9 expression and were imaged every 2 minutes for 24 hours at 40x magnification. At 15:44 chromosomes begin to condense (prophase); at 16:04 chromosomes begin to align on the metaphase plate (prometaphase); at 16:10 the chromosomes are aligned (metaphase); at 16:12 chromosomes are pulled to opposite poles of the cell (anaphase) and the lagging chromosome can be seen above the separating chromosomes; at 16:18 the chromosomes begin to unravel (telophase) and the lagging chromosome can be seen on the left-hand side of the chromosomes of the left daughter cell; from 16:28 onwards the lagging chromosome forms a micronucleus next to the nucleus of the daughter cell.</p>
RPE-1 GFP-H2B iCas9 cells undergoing mitosis
<p>Zeiss AxioObserver video showing RPE-1 GFP-H2B iCas9 cells undergoing mitosis. Cells were treated with 1 μg/mL doxycycline for 96 hours to induce Cas9 expression and were imaged every 2 minutes for 24 hours at 40x magnification.</p>
RPE-1 GFP-H2B iCas9 cells undergoing nocodazole-induced mitotic arrest
<p>Phasefocus LiveCyte video showing RPE-1 GFP-H2B iCas9 cells undergoing nocodazole-induced mitotic arrest. Cells were treated with 1 μg/mL doxycycline for 96 hours to induce Cas9 expression and were imaged every 9 minutes for 48 hours at 20x magnification. Mitotic cells can be seen from 0:00 as indicated by their rounding up into a ball; from 2:41 mitotic cells begin to slip from mitosis as indicated by rounded mitotic cells flattening. A dead cell can be seen from 0:00 as indicated by the presence of propidium iodide (red) and two other mitotic cells undergo mitotic cell death at 43:42 and 44:20 in the bottom left corner.</p>
RPE-1 GFP-H2B iCas9 cells undergoing paclitaxel-induced mitotic arrest
<p>Phasefocus LiveCyte video showing RPE-1 GFP-H2B iCas9 cells undergoing paclitaxel-induced mitotic arrest. Cells were treated with 1 μg/mL doxycycline for 96 hours to induce Cas9 expression and were imaged every 9 minutes for 48 hours at 20x magnification. From 3:17 cells start entering mitosis as indicated by their rounding up into a ball; from 12:44 mitotic cells begin to either slip from mitosis as indicated by rounded mitotic cells flattening or undergoing mitotic cell death as indicated by the presence of propidium iodide (red).</p>
Supplementary Data for "Steric and electronic origins of fluorescence in GFP and GFP-like proteins"
<p>Data accompanying "<strong>Steric and electronic origins of fluorescence in GFP and GFP-like proteins</strong>" under consideration at JACS.</p> <p> </p>
ROS-specific Huntingtin Interactions: GFP reactivation assay WT vs HD mouse striatal cells second attempt
<p>Optimization step in the lead up to phenotypic analysis of ROS-dependent huntingtin interacting proteins.</p>
ROS-specific Huntingtin Interactions: GFP reactivation assay WT vs HD mouse striatal cells
<p>Optimization step in the lead up to phenotypic analysis of ROS-dependent huntingtin interacting proteins.</p>
ROS-specific Huntingtin Interactions: GFP reactivation assay optimization in HEK 293 cells
<p>Optimization step in the lead up to phenotypic analysis of ROS-dependent huntingtin interacting proteins.</p>
ROS-specific Huntingtin Interactions: GFP reactivation assay in HD patient fibroblasts
<p>Optimization step in the lead up to phenotypic analysis of ROS-dependent huntingtin interacting proteins. </p>
GFP Production and Purification
<p><strong>Huntington’s Disease (HD) is a hereditary neurodegenerative disease. The cause of this disease is a CAG repeat extension in the HTT Gene. This extension is then translated into an elongation of exon 1 which is primarily composed of a disordered PolyQ repeat. Although the cause is known, the mechanism by which this extension affects the function of Huntingtin (HTT), the protein produced by the HTT Gene, has yet to be understood. A part of this difficulty is our lack of understanding of the role of normal HTT in our cells. During the production of pure HTT sample, we began to notice an accumulation of nucleic acid material. To test the identity of this material, we sent it to one of our collaborators who told us it was RNA. Now, we are interested in preforming CLIP-seq to identify the specific sequence bound to HTT. Standard expression methods have been found to have minimal success due to the sheer size of HTT so other methods are being explored. One of which, is inserting formed protein into the neuronal cells via electroporation as described by Lambert, H. et. al. in Electroporation - mediated uptake of proteins into mammalian cells . By importing tagged protein into neuronal cells, we hope to capture a more readable RNA sequence, giving us a clue about its cellular function. To get the protein into the cell, we are planning to use electroporation. This process can be quite variable dependent upon the equipment used and the cells used, etc. we are using GFP to optimize conditions as it is quite easy to image in cells. In order to continue with this, a concentrated GFP sample must be made. </strong></p>
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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)
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.