In the version of this article initially published, in Fig. 2e, the macrophage values for the day 28 +DT (15–28) group contained a copy-and-paste error; in Fig. 3i, the processed qPCR values for Scube3 in the EporΔXcr1 T–A group were inadvertently duplicated from the EporΔXcr1 UNT group; in Fig. 5k, day 15 values for the EporΔXcr1 + Iso group were inadvertently duplicated from day 13. In the Source Data for Fig. 3, the data corresponding to Fig. 3i were incorrectly labelled “Fig. 3k” instead of “Fig. 3i”; in the Source Data for Extended Data Fig. 2c, the unit “ng/ml” should have read “pg/ml”; in the Source Data for Extended Data Fig. 3, “p4E-BP4” should have read “p4E-BP1” in row 2, corresponding to Extended Data Fig. 3d, and row 11, corresponding to Extended Data Fig. 3e. In the Fig. 5k legend, the sample size for the “EporΔXcr1 + anti-PD-1” group was shown as n = 6 instead of n = 7. In the Methods subsection “qPCR, RNA extraction and cDNA synthesis”, “omental tissue” should have read “cDC1s”. Due to a production error, the Fig. 5i label “Gated on CD45+TCRβ+CD8+ T cells” should have read “Gated on CD45+TCRβ+CD4+ T cells”. The figures, text and Source Data have been amended in the HTML and PDF versions of the article. These corrections do not affect the interpretation or conclusions of the study. For comparison, the original figures are available as Supplementary Information accompanying this amendment.
Author Correction: Erythropoietin receptor on cDC1s dictates immune tolerance
Why This Matters
This correction notice addresses several errors in data presentation and labeling in a scientific study on immune tolerance, ensuring the accuracy and clarity of the research. While the corrections do not change the study's conclusions, they are important for maintaining scientific integrity and reproducibility in the field of immunology and biotech research.
Key Takeaways
- Multiple data labeling and figure errors were corrected for accuracy.
- The corrections do not alter the study's original conclusions.
- Maintaining precise data presentation is crucial for scientific credibility.
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