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638 Assays visible to you, out of a total of 1200

RNA timeseries data for Arabidopsis Col wild-type plants and clock mutants, as separate mean and SD files. The raw data is available on BioDare.ed.ac.uk, and is linked as 'Attribution' from elsewhere on FAIRDOMHub.

The starting models are included here in their original forms, the P2011 model as an SBML L3V1 model file, and the KF2014 model of Fogelmark et al. shared as SBML; both prepared by Uriel Urquiza.

P2011.1.2 written in Antimony and converted in SBML using python package Tellurium. Parameters values correspond to P2011.1.2

Collection of clock models that rescale transcript variables to account for absolute units. The relationship between models is summarised in the attached 'model evolution' document and in more detail in the linked publications (preprint version linked in the Snapshot; publication Urquiza and Millar, In Silico Plants 2021 did not have a DOI when Snapshot was created).

Each model is presented three times, * - without a light:dark cycle, * - with an ISSF (Adams et al. JBR 2012) that is set up for ...

Homogeneity of the Gre2p samples in KPi Buffer before and after different treatments, including different amounts of BSA in the buffer (7.5 µM and 75 µM).

Cyp1a activity (=EROD) measured in liver samples of cod exposed to chlorpyrifos-methyl

Submitter: Karina Dale

Assay type: Experimental Assay Type

Technology type: Technology Type

Investigation: 1 hidden item

Study: In vivo Nord 1: Chlorpyrifos-methyl

Concentrations of chlorpyrifos-methyl and its metabolite TCP in cod liver and bile quantified using gas chromatography

Submitter: Karina Dale

Assay type: Experimental Assay Type

Technology type: Technology Type

Investigation: 1 hidden item

Study: In vivo Nord 1: Chlorpyrifos-methyl

Measurement of plasma parameters: activities of cholinesterase, alanine aminotransferase, aspartate aminotransferase + cortisol and total protein levels in cod exposed to chlorpyrifos-methyl

Submitter: Karina Dale

Assay type: Experimental Assay Type

Technology type: Technology Type

Investigation: 1 hidden item

Study: In vivo Nord 1: Chlorpyrifos-methyl

Fish weight (start - end), length, total growth and specific growth rate (SGR)

Submitter: Marta Eide

Assay type: Phenotype observation

Technology type: Technology Type

Investigation: 1 hidden item

Study: In vivo Nord 1: Chlorpyrifos-methyl

Transcriptomics results from liver of cod exposed to chlorpyrifos-methyl

Global metabolomics screening of 36 liver samples from Atlantic cod exposed to chlorpyrifos-methyl for 30 days.

Submitter: Karina Dale

Assay type: Experimental Assay Type

Technology type: Technology Type

Investigation: 1 hidden item

Study: In vivo Nord 1: Chlorpyrifos-methyl

Here we will use JERM templates with embedded ontologies to describe and annotate example data

Here we will use JERM templates with embedded ontologies to describe and annotate example data 222

No description specified

For scRNA-Seq, iSABs were dissociated using the Primary Cardiomyocyte Isolation Kit (Thermo Fisher Scientific) before library preparation was performed using the 10xGenomics system with subsequent sequencing on the HighSeq4000 (Illumina). The mouse-SAN scRNA-Seq protocol is described in Goodyer et al. Preprocessing of raw sequencing data from iSABs relied on tools of the Cell Ranger Software (v.6.1.0) as was the procedure in Goodyer et al. Downstream analyses were conducted similar for both ...

Submitter: Anne-Marie Galow

Biological problem addressed: Gene Expression

Investigation: 1 hidden item

Study: Quality control in scRNA-Seq - the mtDNA bias

Application of the LoRAS oversampling approach on single-cell/single-nuclei data to annotate/identify specific cell populations in new data based on previously, manually curated data.

Homogeneity of the Gre2p samples in HEPES and PBS Buffer before and after different treatments.

Homogeneity of the Gre2p samples in KPi Buffer before and after different treatments, including different amounts of tween-20 in the buffer (0.01, 0.1, 1.0%).

ITC multiple injection (MIM) experiments to determine the kinetic parameters of NDK (nitrononane-2,8-dione) and NADPH with Gre2p in 100 mM KPi buffer pH 7.5 Data from ITC recurrent single injection (rSIM) experiments were used to achieve proper fitting of kcat values.

ITC multiple injection (MIM) experiments to determine the kinetic parameters of NDK (nitrononane-2,8-dione) and NADPH with Gre2p in 1x PBS buffer pH 7.5 Data from ITC recurrent single injection (rSIM) experiments were used to achieve proper fitting of kcat values.

ITC multiple injection (MIM) experiments to determine the kinetic parameters of NDK (nitrononane-2,8-dione) and NADPH with Gre2p in 100 mM HEPES buffer pH 7.5 Data from ITC recurrent single injection (rSIM) experiments were used to achieve proper fitting of kcat values.

ITC recurrent single injection (rSIM) to determine the kinetic parameters of NDK (nitrononane-2,8-dione) and NADPH with Gre2p in 100 mM KPi buffer, 1x PBS buffer and 100 mM HEPES buffer, all with pH 7.5

Python workflow for the analysis of ITC-BIND, ITC-MIM and ITC-(r)SIM experiments. Organized in a *.zip folder. Requires the following directory structure:

./ITCanalysis.py ./input/BINDING/.apj ./input/BINDING/.csv ./input/KINETICS/.apj ./input/KINETICS/.csv ./scripts/bindingneu.py ./scripts/kinetics_neu.py

And can be executed by running python ITCanalysis.py in the directory. Filenames for the input *.apj and *.csv files are defined in ITCanalysis.py. The output directory is written by ...

ITC multiple injection (MIM) experiments to determine the kinetic parameters of NDK (nitrononane-2,8-dione) and NADPH with Gre2p in 0.1%Tween-20-100 mM KPi buffer pH 7.5 Data from ITC recurrent single injection (rSIM) experiments were used to achieve proper fitting of kcat values.

ITC binding (BIND) experiments to determine the binding parameters of NADP+ to Gre2p in 1x PBS Buffer.

ITC binding (BIND) experiments to determine the binding parameters of NADP+ to Gre2p in 100 mM HEPES Buffer.

ITC binding (BIND) experiments to determine the binding parameters of NDK (nitrononane-2,8-dione) to Gre2p in 100 mM KPi Buffer. Experiments failed due to very weak binding and poor solubility of NDK in buffer.

ITC binding (BIND) experiments to determine the binding parameters of HK ((5S,8S)-anti hydroxyketone) to Gre2p in 100 mM KPi Buffer. Experiments failed due to very weak binding and poor solubility of HK in buffer.

Python workflow for the analysis of ITC-BIND, ITC-MIM and ITC-(r)SIM experiments. Organized in a *.zip folder. Requires the following directory structure:

./ITCanalysis.py ./input/BINDING/.apj ./input/BINDING/.csv ./input/KINETICS/.apj ./input/KINETICS/.csv ./scripts/bindingneu.py ./scripts/kinetics_neu.py

And can be executed by running python ITCanalysis.py in the directory. Filenames for the input *.apj and *.csv files are defined in ITCanalysis.py. The output directory is written by ...

ITC binding (BIND) experiment to determine the binding parameters of NADPH to Gre2p in 100 mM KPi Buffer with 0.1% Tween-20 added.

Specific activity of Gre2p measured by following the change in absorbance of NADPH at 340 nm for the conversion of nitrononane-2,8-dione (NDK).

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