Assays

MIHCSME template example for IDR0022 dataset. Primary and validation RNAi screen using smartpool and single siRNAs to identify cell migratory regulators in Hs578T and MDA-MB-231 triple-negative breast cancer cells.

RNAi Screen of 100 candidate genes predicted to be involved in mitotic chromosome condensation. MIHCSME template example for IDR0002 dataset.

Compound screen on HepG2 CHOP-GFP reporter, to measure CHOP-GFP protein induction upon treatment with compounds. Template and associated files describe High Content Screening experimental data that conform to the MIHCSME specification.

Generic metadata template describing High Content Screening data that conform to the REMBI and ISA specification. LEI-MIHCSME empty template that can serve as basis for filling in metadata. This template was created and modified from templates produced by Leiden University.

Compound screen on 13 HepG2 -GFP reporter lines, to measure GFP protein induction, and cell death induction. Template and associated files describe High Content Screening experimental data that conform to the MIHCSME specification.

The statistical analysis was performed in a jupyter notebook. This notebook contains the commands for all performed analyses (Statistical_analysis_of_FAIR_citations.ipynb)

The Bayesian Estimation Superseeds the t Test (BEST) method of Kruschke 2013 was used for the Bayesian significance testing. The method was implemented in a python class together with visualization and distributional analysis methods (BEST_method_python_Kruschke2012.py). Also the bayesian multiple comparison analysis can be ...

The experimental data of Midazolam, OH-Midazolam, Caffein, Codeine, Norcodeine, Codein-6Glucuronide, Morphine-3Glucuronide and Morphine was analyzed via a Bayesian uncertainty quantification. An underlying model describing the bolus injection, followed by the exponential decay was written in sbml and a PEtab problem was created. The sampling and ensemble creation was conducted with the python toolbox pyPESTO.

For further details, please take a look at the methods section of the paper.

The experimental data of Midazolam, OH-Midazolam, Caffein, Codeine, Norcodeine, Codein-6Glucuronide, Morphine-3Glucuronide and Morphine was analyzed via a Bayesian uncertainty quantification. An underlying model describing the bolus injection, followed by the exponential decay was written in sbml and a PEtab problem was created. The sampling and ensemble creation was conducted with the python toolbox pyPESTO.

For further details, please take a look at the methods section of the paper.

Stained sections were digitalized using a whole slide scanner (L11600, Hamamatsu, Ja-pan) equipped with the NDP.view2Plus Image viewing software (Version U12388-02).

• MNT-021_J-20-0152_HE_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_003 > Control
• MNT-022_J-20-0154_HE_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_003 > Control
• MNT-023_J-20-0156_HE_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_003 > Control
• MNT-024_J-20-0158_HE_LLL(green), RML(red), RSL (black), ...