ArticleFrontiers in genetics2020
A Systems Biology Approach to Identifying a Master Regulator That Can Transform the Fast Growing Cellular State to a Slowly Growing One in Early Colorectal Cancer Development Model.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Transcript PHF19-207 May Be a Long Non-Coding RNA with Tumor-Promoting Role in Colon Cancer.Biomolecules · 2025Article
- Use of exosome transcriptome-based analysis to identify novel biomarkers in patients with locally advanced esophageal squamous cell carcinoma undergoing neoadjuvant chemoradiotherapy.Annals of translational medicine · 2023Article
- Single-cell RNA sequencing in cancer: Applications, advances, and emerging challenges.Molecular therapy oncolytics · 2021Review
- Boolean Feedforward Neural Network Modeling of Molecular Regulatory Networks for Cellular State Conversion.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
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Abstract
Colorectal cancer (CRC) has been most extensively studied for characterizing genetic mutations along its development. However, we still have a poor understanding of CRC initiation due to limited measures of its observation and analysis. If we can unveil CRC initiation events, we might identify novel prognostic markers and therapeutic targets for early cancer detection and prevention. To tackle this problem, we establish the early CRC development model and perform transcriptome analysis of its single cell RNA-sequencing data. Interestingly, we find two subtypes, fast growing vs. slowly growing populations of distinct growth rate and gene signatures, and identify CCDC85B as a master regulator that can transform the cellular state of fast growing subtype cells into that of slowly growing subtype cells. We further validate this by
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