Author Correction: Deciphering Driver Regulators of Cell Fate Decisions from Single-Cell Transcriptomics Data with CEFCON – Nature Communications
In the complex and evolving field of single-cell transcriptomics, accurately identifying the drivers of cell fate decisions is crucial for advancing our understanding of biological processes and disease mechanisms. The article titled “Deciphering Driver Regulators of Cell Fate Decisions from Single-Cell Transcriptomics Data with CEFCON” published in Nature Communications represents a significant contribution to this endeavor. However, to uphold the standards of transparency and accuracy, it is essential to address and correct a few oversights in the original publication.
The initial omission involved the lack of reference to pivotal prior work by Fiedler et al., conducted in 2013. This foundational study has now been incorporated into our discussion, appropriately cited as reference 77, within the Methods section of our paper. The specific mention reads: “The first network control-based method for driver gene identification hinges on the feedback vertex set (FVS) concept, inclusive of nonlinear behaviors.” It continues, noting, “By the models proposed by Mochizuki et al. and now acknowledged, Fiedler et al., gaining control over all nodes within the FVS suffices to navigate the system to any of its attractors — essentially, its potential cell states. In our work, we’ve adopted and extended the FVS-based method as put forth by Zañudo et al., controlling both the source nodes and those within the FVS.”
Additionally, the original version of the article presented a mislabeling within Figure 2c. In this graphical representation, two nodes erroneously tagged in the network diagram were meant to be identified as both MFVS (Minimal Feedback Vertex Set) and MDS (Minimum Dominating Set) driver genes. This alignment with the algorithmic outputs underpins both the methodological integrity and the results’ precision. Rectifications have been made to accurately label these nodes in both PDF and HTML formats of the document.
Certifying the accuracy of scientific publications is paramount, not only for the credibility of the authors and the journal but also for the continuity of research based on published findings. It is these corrections that enrich the community’s understanding and application of scientific discoveries. These amendments foster a culture of accountability and precision that is the backbone of scientific inquiry and advancement.
We appreciate the community’s engagement and understanding as we continuously strive to refine our work. Such corrections refine the foundation upon which future research will be built, ensuring that advancements in the field of single-cell transcriptomics are based on accurate and reliable data. Our commitment remains to contribute rigorously vetted and valuable insights to the scientific community, driving forward the understanding of cell fate decisions and their implications.
