SOPs

What is a SOP?
327 SOPs visible to you, out of a total of 599
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Collection of Tissues at Necropsy of Short-Term Animals

Medium-Term Tissue Collection at Necropsy

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Next-Gen GPT Assay Protocol

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Creator: Charles Demurjian

Submitter: Charles Demurjian

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Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

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Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

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Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

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Creator: Dikshant Pradhan

Submitter: Dikshant Pradhan

SOP for measurement of PFK activity in extracts.

SOP for measurement of PGI activity in extracts.

SOP for measurement of PGK activity in extracts.

SOP for measurement of PGM activity in extracts.

SOP for measurement of PGM activity in extracts.

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SOP for measurement of PK activity in extracts.

Method for transformation of plasmids into Lactococcus lactis

Creator: Martijn Bekker

Submitter: The JERM Harvester

Detection of small RNAs by blot hybridization.

Creator: Vânia Pobre

Submitter: Vânia Pobre

Purpose:

Creator: Jose Ramos

Submitter: The JERM Harvester

Describes the cultivation-, washing- and electroporation-steps required in order to transform bacterial cells with DNA.

Creator: Maximilian Bahls

Submitter: Maximilian Bahls

Preparation of cell free extracts of the recombinant E. coli strains expressing the gluconeogenic S. solfataricus enzymes.

The fluorescent DNA-binding dye used in qRT-PCR binds to all kinds of double stranded DNA. To prevent false-positive results, the RNA is treated with DNase to remove remaining DNA.

Creator: Lisbeth Lyngberg

Submitter: Lisbeth Lyngberg

Describes the steps required in order to run an error-prone PCR (epPCR) for the creation of DNA libraries of a given template gene.

Creator: Maximilian Bahls

Submitter: Maximilian Bahls

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Creators: Louise Thomas, Maggie Smith

Submitter: Jay Moore

This is the Jupyter Notebook to allow editing and working with the code. It is a simple example of how a progress curve experiment can look like.

This is the pdf of the Jupyter Notebook to allow looking at the notebook without installing anything. It is a simple example of how a progress curve experiment can look like.

Purpose: PROTEIN EXTRACTION FOR 2-DE BASED PROTEOMIC EXPERIMENTS. 1. Citosoluble proteins

Creator: Miguel Curto Rubio

Submitter: The JERM Harvester

Purpose: PROTEIN EXTRACTION FOR 2-DE BASED PROTEOMIC EXPERIMENTS. 2. Membrane proteins

Creator: Miguel Curto Rubio

Submitter: The JERM Harvester

Purification of gluconeogenic enzymes from S. solfataricus in recombinant E.coli extracts

This SOP describes the docking receptor preparation of PTR1 and DHFR receptor PDB files, performed with the Maestro Protein PrepWizard and the Glide grid generation routine. The optional identification and integration of conserved structural water molecules with the WatCH tool is also covered.

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Creators: Louise Thomas, Maggie Smith

Submitter: Jay Moore

This protocol for applying glucose perturbations works for Lactococcus lactis and Enterococcus faecalis

Method of how to perform the purification of glyoxalase II as well as kinetics assays.

Creator: Lisbeth Lyngberg

Submitter: Lisbeth Lyngberg

Growing Escherichia coli to express KefF by adding IPTG for purification and kinetics experiments.

Creator: Lisbeth Lyngberg

Submitter: Lisbeth Lyngberg

A method of how to measure methylglyoxal present in the growth medium.

Creator: Lisbeth Lyngberg

Submitter: Lisbeth Lyngberg

This file is associated with performed study and describes protocols used.

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:

./ITC_analysis.py ./input/BINDING/.apj ./input/BINDING/.csv ./input/KINETICS/.apj ./input/KINETICS/.csv ./scripts/binding_neu.py ./scripts/kinetics_neu.py

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

Gre2p activity monitored by NADPH absorbance using different enzyme concentrations. Activity is measured after different storage conditions (treatments) and in presence of different amounts of tween. Also analysis of DLS data of homogeneity of Gre2p samples measured before and after these treatments.

A python workflow is used to analyse the data and create a plot of the data. It requires the following directory structure:

./Script_for_S13andS18.py ./Script_for_S22.py ./Script_for_S15.py

and as ...

Gre2p activity monitored by NADPH absorbance using different enzyme concentrations. Activity is measured after different storage conditions (treatments) and in presence of different amounts of tween.

A python workflow is used to analyse the data and create a plot where the outcomes of the Selwyn test are plotted. It requires the following directory structure:

./Sewlyn_test_forS19.py ./tween/M1.csv ./tween/M2.csv ./tween/M3.csv ./tween/M4.csv ./treatments/M1.csv ./treatments/M2.csv ./treatments/M3.csv ...

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