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111,247 results for “cells”
Large scale expression and purification of full-length huntingtin Q19 and Q23 from baculoviral expression system production in sf9 insect cells – 2018/06/18
<p><strong>Project</strong> - Huntingtin structure-function open lab notebook. </p> <p><strong>Experiment and rationale</strong> - Purified huntingtin samples are required for use in structural and functional studies. </p>
Large scale expression and purification of full-length huntingtin Q23 and Q54 from baculoviral expression system production in sf9 insect cells – 2018/07/06
<p><strong>Project</strong> - Huntingtin structure-function open lab notebook. </p> <p><strong>Experiment and rationale</strong> - Purified huntingtin samples are required for use in structural and functional studies. </p>
Attempted expression and purification of full-length huntingtin Q23 with putative interaction partners from baculoviral expression system production in sf9 insect cells – 2018/07/19
<p><strong>Project</strong> - Huntingtin structure-function open lab notebook. </p> <p><strong>Rationale: </strong>To obtain monodisperse and conformationally constrained huntingtin protein samples for high resolution structural biology, interaction partners are required as highlighted by <a href="https://www.nature.com/articles/nature25502">Guo et al (2018)</a>.</p>
Large scale expression and purification of full-length huntingtin Q23 with HAP40 from baculoviral expression system production in sf9 insect cells – 2018/07/11
<p><strong>Project</strong> - Huntingtin structure-function open lab notebook. </p> <p><strong>Experiment and rationale</strong> - Purified huntingtin samples are required for use in structural and functional studies. </p>
Exploring NSD3 Driven Gene Expression Profiles in Lung Squamous Cell Carcinoma
<p><strong>SGC Open Notebook Project to Characterize the HMTase NSD3</strong></p> <p><strong>Exp026 Objective:</strong> NSD3 is frequently amplified as part of the 8p11-12 focal amplification in several types of cancer. Here we set out to explore the gene expression profiles of NSD3 amplified versus non-amplified lung squamous cancer samples from the TCGA. However, because this event takes place in the context of a focal amplification we will also compare samples with high versus low NSD3 expression. The goal of this experiment is to identify putative oncogenic signalling pathways NSD3 may regulate, as well as inform on the biological role of this protein in the context of gene expression. </p>
Large scale expression and purification of full-length huntingtin Q42 from baculoviral expression system production in sf9 insect cells – 2018/07/10
<p><strong>Project</strong> - Huntingtin structure-function open lab notebook. </p> <p><strong>Experiment and rationale</strong> - Purified huntingtin samples are required for use in structural and functional studies. </p>
Large scale expression and purification of huntingtin fragment A667-C3140 from baculoviral expression system production in sf9 insect cells – 2018/08/02
<p><strong>Project</strong> - Huntingtin structure-function open lab notebook. </p> <p><strong>Rationale: </strong>To obtain monodisperse and conformationally constrained huntingtin protein samples for high resolution structural biology.</p>
Time-lapse images of yeast cells with different levels of TDH3 median expression and expression noise
<p>Time-lapse images of strains YPW3064, YPW3047, YPW2868 and YPW2879. Images were acquired with a Zyla sCMOS camera (Andor) on an Olympus IX83 inverted microscope equipped with a CoolLED pE-300 illumination system in Lab513 at University Paris Diderot. These images were used to produce Figure 5 - figure supplement 1 as well as the corresponding Source Data tables in the paper: Fitness effects of altering gene expression noise in Saccharomyces cerevisiae. Fabien Duveau, Andrea Hodgins-Davis, Brian P.H. Metzger, Bing Yang, Stephen Tryban, Elizabeth A. Walker, Patricia Lybrook, Patricia J Wittkopp (doi: https://doi.org/10.1101/294603).</p>
A detailed flowsheet of a 100 MW Solid Oxide Fuel Cell plant modeled in ASPEN PLUS
<p>Files required for modeling a 100 MW Solid Oxide Fuel Cell Plant (Power-to-Gas Mode) in Aspen Plus. The plant was designed by Butera et al.[1]. A detailed capital cost estimate was made using the AspenTech Process Economic Analyzer and written in ESA.xlsx. </p> <p>Further details are available upon request: alexandru.botan@phystech.edu</p> <p>[1] Butera, G., Jensen, S.H., and Clausen, L.R. "A novel system for large-scale storage of electricity as synthetic natural gas" submitted to J. Energy</p> <p> </p> <p> </p>
Data for "Identification of Killer Defects in Kesterite Thin-Film Solar Cells"
<p>**README**</p> <p>Data for "Identification of Killer Defects in Kesterite Thin-Film Solar Cells"</p> <p>DOI: 10.1021/acsenergylett.7b01313</p> <p><br> * File Tree <br> ---<br> * DFT_CALC // Row input file for DFT calculation (VASP)<br> * XX_DEFECT_CZTS(e) // Data for CZTS (or CZTSe)<br> * XX_PRIM(ORTHO/221) // Data for bulk (primitive, orthogonal or 2X2X1 supercell)<br> * XX_Defect // Data for defect (V_S, Sn_Cu, Sn_Zn, Cu_Sn)<br> * XX_q // SCF calculation with charge state q <br> * fig // data used to draw figures<br> * 00_atomic_structure <br> * 01_charge_transition_level<br> * 02_charge_density<br> * 03_configuration_coordinate<br> * 20_SI_PHASE_DIAGRAM</p>
Supporting dataset for the publication 'Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity'
<p>This dataset accompanies the publication "Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity" by William S DeWitt III, Anajane Smith, Gary Schoch, John A Hansen, Frederick A Matsen IV and Philip Bradley, accepted for publication in the journal eLife. It contains data on T cell receptor occurrence patterns and repertoire features that can be processed with the software tools provided in the github repository https://github.com/phbradley/pubtcrs in order to replicate the findings of the manuscript.</p> <p> </p>
Dataset for "Open-Circuit Voltage Deficit in Cu2ZnSnS4 Solar Cells by Interface Band Gap Narrowing"
<p><strong>Files in "ExchangeCorrelation": POSCAR_material_Exc</strong></p> <p><em>material</em></p> <ul> <li>CdS </li> <li>CZTS = Cu2ZnSnS4</li> <li>CZTSe = Cu2ZnSnSe4</li> </ul> <p><em>Exchange-correlation functionals</em></p> <ul> <li>PBE</li> <li>RP = revised PBE</li> <li>PBEsol</li> <li>AM05</li> <li>SCAN</li> <li>HSE06</li> <li>6_6: PBE+U (U= 6 eV for Cu d and Zn d)</li> <li>8_8: PBE+U (U= 8 eV for Cu d and Zn d)</li> </ul> <p><strong>Files in "Interface"</strong></p> <p>POSCAR_S_fixed: CZTS/CdS interface, CdS layers were fully relaxed.<br> POSCAR_S_PBE_U: CZTS/CdS interface, the atomic coordinates were relaxed using PBE+U<br> POSCAR_S_SCAN_U: CZTS/CdS interface, the atomic coordinates were relaxed using SCAN+U<br> POSCAR_Se_fixed: CZTSe/CdS interface, CdS layers were fully relaxed.<br> POSCAR_Se_PBE_U: CZTSe/CdS interface, the atomic coordinates were relaxed using PBE+U<br> POSCAR_Se_SCAN_U: CZTSe/CdS interface, the atomic coordinates were relaxed using SCAN+U</p>
Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries
<p>Processed data files for manuscript: "Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries" <a href="https://doi.org/10.1093/nar/gky1204">https://doi.org/10.1093/nar/gky1204</a> . Scripts for generating figures are found here: https://github.com/rnabioco/scrna-subsets</p>
Checking the expression and localization of split-SCN1A constructs in HEK293 cells
<p>Examine the functionality (expression, ability to reconstitute, and localization of re-assembled SCN1A) of split-SCN1A-GFP1-10 and split-SCN1A-GFP11 constructs</p>
Phase contrast microscopy sequence of U373 cells.
<p>The .zip file contains .CSV file for frame</p> <p>each line contains: #cell, #frame, x position, y position</p> <p>Cell cultures in Falcon plastic dishes maintained at 37 C° were observed and recorded automatically every 4 min. The images were acquired under a phase-contrast microscope (Olympus, model IX50, magnification ratio 10:1), with a<br> charge-coupled device video camera (Hitachi Denshi, modelKP-M1E/K-S10) coupled with an acquisition board (32-bits<br> Matrix Vision PC-GRAB-GI frame grabber).</p> <p>The image dimensions are 700 500 pixels (with a pixel resolution of 0.92µm at the magnification ratio abovementioned) discretized on 256 gray levels (8 bits/pixel). The images are compressed using jpeg compression.</p>
Vehicle-to-cell hierarchical overview of a typical electrified powertrain architecture
<p>Schematic depicting the vehicle-to-cell hierarchical overview of a typical electrified<br> powertrain architecture. This represents the system-level context within which the proposed<br> layer optimisation framework has been developed. Two xEV powertrains — a) a Battery Electric<br> Vehicle (BEV), and b) a series Plug-in Hybrid Electric Vehicle (PHEV) are chosen as examples to<br> demonstrate how the methodology facilitates common module designs for such battery packs.</p>
Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells
<p>Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells.</p>
Unveiling the Mechanisms of Solid-State Dewetting in Solid Oxide Cells with Novel 2D Electrodes
<p>Supporting videos as a part of the Supplementary Material of the paper published by the Journal of Power Sources, Volume 420, 30 April 2019, Pages 124-133 doi: 10.1016/j.jpowsour.2019.02.068</p>
Quantitative Characterisation of α-Synuclein Aggregation in Living Cells through Automated Microfluidics Feedback Control
<p>Data, computational software, and supplemental movies generated in the study: "Quantitative Characterisation of α-Synuclein Aggregation in Living Cells through Automated Microfluidics Feedback Control."</p>
Systematic spatio-temporal mapping reveals divergent cell death pathways in three mouse models of hereditary retinal degeneration
<p>Values for immuohistochemical analysis or enzymatic analysis of various markers theorised to have roles in retinal dystrophies in three models of mouse retinal degeneration with a control. Analysis has been broken down by marker, mouseline, age and region of the retina recorded from</p>
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.