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Sniffing Out a Mistake: Nature Corrects Olfactory Circuit Study!

In a correction issued today, Nature addressed an error in the original publication of the article "Rewiring an olfactory circuit by altering cell-surface combinatorial code," which appeared online November 19, 2025. The correction involves Figure 1h of the original article, where the bottom three panels in the klg RNAi column were found to be duplicates of images from Figure 1c.

The journal has updated both the HTML and PDF versions of the article with the correct figures. The error was identified by the authors and brought to the attention of the journal for rectification.

The original research, conducted by Cheng Lyu, Zhuoran Li, Chuanyun Xu, Jordan Kalai, and Liqun Luo from Stanford University, focused on axon and dendritic guidance within neural circuits, specifically in the olfactory system. The study explored how altering the cell-surface combinatorial code could potentially rewire these circuits.

Liqun Luo, the corresponding author of the study, and his team delved into the intricate mechanisms that govern how neurons connect and form functional circuits. Their work has implications for understanding brain development and potentially for developing new strategies to treat neurological disorders.

Corrections of this nature are not uncommon in scientific publishing. Journals like Nature maintain rigorous standards for accuracy, and errata are published to ensure the integrity of the scientific record. While such errors can occasionally raise concerns, the scientific community generally views these corrections as a sign of transparency and commitment to accuracy.

The updated version of the article is now available on Nature's website. Researchers and readers are encouraged to refer to the corrected version for accurate information. The authors have not issued any further statements regarding the correction beyond the published erratum.

AI-Assisted Journalism

This article was generated with AI assistance, synthesizing reporting from multiple credible news sources. Our editorial team reviews AI-generated content for accuracy.

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