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Updated: Jan 25, 2026

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
Published on: December 1, 2023
Author Correction: Synthetic RNA-based logic computation in mammalian cells
Satoshi Matsuura1,2, Hiroki Ono1,2, Shunsuke Kawasaki1
1Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, 606-8507, Japan.
This article corrects a minor error in fold-change values for miRNA-responsive circuits. The corrected data enhances the accuracy of circuit performance analysis in synthetic biology applications.
Area of Science:
- Synthetic biology
- Molecular biology
- Biotechnology
Context:
- MicroRNA (miRNA)-responsive genetic circuits are crucial tools in synthetic biology.
- Accurate characterization of circuit performance, including fold-change between ON and OFF states, is essential for reliable applications.
- Previous versions of the article contained a numerical error in reporting fold-change values.
Purpose:
- To correct a previously reported numerical error in the fold-change of miRNA-responsive circuits.
- To ensure the accuracy and reliability of the presented data on circuit performance.
- To provide updated information for researchers utilizing these genetic circuits.
Summary:
- A numerical error in the fold-change between ON and OFF states for miRNA-responsive circuits has been identified and corrected.
- The corrected fold-change value is now accurately reported as 4.6, replacing the previous value of 3.5.
- Both the main article and supplementary information have been updated to reflect this correction.
Impact:
- Ensures the integrity of scientific data presented in the article.
- Facilitates more accurate downstream research and applications relying on miRNA-responsive circuits.
- Upholds the standards of scientific reproducibility and transparency in synthetic biology research.
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