About CritiCal-C


Cytosines in plants standout, as ~60% of TF binding motifs in the promoters of genes in Arabidopsis like model plants have cytosines as the most conserved base. And this becomes more pronounced considering the fact that in plants cytosine methylation is the most important way of epigenetic regulation. But are all cytosines equally important in the downstream gene regulation? Certainly not. Thus, it becomes a very interesting question to identify the critical cytosines for gene regulation.

The criticality, so far, could be assessed only experimentally, consuming lots of time, efforts, and money. This makes it quite an impractical job to assess the criticality of every cytosine, for every gene, for all infinitely possible conditions, and for so many species.

Realizing this, for the first time, we are bringing here a highly innovative algorithm of CritiCal-C. It uses methylated promoter sequence data to first predict the downstream gene's expression level. The predicted expression level itself becomes a guide to decode the most critical cytosine in the 2kb upstream region. Knowing these critical cytosines, one can carry out genomic interventions to control the downstream genes at large scale, in highly cost effective and precise manner. We foresee an upcoming regulomics revolution with CritiCal-C.

Access the species-specific database and tool by clicking the image below:

Arabidopsis thaliana
Oryza sativa
Other Species

CITATION

If you use CritiCal-C in your research, please cite our work:

Deep-Learning on condition specific expression profiles reveal critical cytosines in gene regulation learning.
Veerbhan Kesarwani, Anchit Kumar, Akanksha Sharma, Sagar Gupta, Ravi Shankar (2025).
bioRxiv, doi: https://www.biorxiv.org/content/10.1101/2025.06.01.657178v1

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