TeselaGen assists you in automating processes with iterative steps to update your Lab Inventory Management System automatically with the input reagents or materials used and by adding the outputs of those reactions on existing samples or even creating new plates or tubes with your new output materials. This is carried out through workflow definitions, where you describe the steps followed in your protocol as a series of tasks to accomplish, which we call Tools. You can find all tools under the Tool library in the left side panel.

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) is a recent gene editing technology that enables precise and efficient modifications to the DNA of living organisms. Inspired by a natural immune defense mechanism found in bacteria, CRISPR uses an enzyme that cuts double stranded DNA (dsDNA); this enzyme (typically part of the Cas group) is guided by a RNA sequence complementary to the target DNA: this is a molecule called guide RNA (gRNA)

This tool has revolutionized molecular biology by making it easier to correct genetic mutations, engineer microbial strains, and accelerate research and development in synthetic biology. TeselaGen, integrates CRISPR into the design and validation workflows, allowing users to design guide RNAs (gRNAs), identify PAM sites, and automate experiment planning with accuracy and scalability.

The Cas family of enzymes is used in CRISPR edition techniques. To use the available CRISPR tools in TeselaGen, you must register a Cas enzyme on the Registry Toolkit.

To upload a new Cas enzyme, click on the "New" button and indicate the scaffold and PAM sequences, as well as the origin organism.

🚨 NOTE: Different to other libraries, once you have uploaded a Cas enzyme you won't be able to edit anything but the name and description.

This tool creates gRNA sequences for a given target sequence, microbial material, and Cas enzyme. For each gRNA sequence given, it predicts the on target score, off target score, KO score, the binding site and a proposed ranking.

As input, you will need to indicate a Microbial Material, Target Sequence and Cas Enzyme:

On this example, we'll use S. cerevisiae, a previously selected genomic region and the Cas9 enzyme.

Genomic regions need to be previously uploaded. To do it, go to the Genomic Regions library, where you can upload a new one. Alternatively, you can open one genome and upload a new genomic region linked to it.

Once we've selected this, we need to give some parameters to the algorithm.

After a few seconds, a new window will appear indicating that your task was successfully completed. To see the status of the Task you can click on the hyperlink provided on this window, or go to microservice tasks.

Once the task is completed, you can go to the report by opening the task, or going to the Guide RNA Score Prediction Reports library on the Registry Toolkit. A complete list of all the created gRNAs will be displayed with their corresponding scores.

After this process, your gRNAs are ready to be used on a CRISPR design.