Figure source-data error corrected in pH sensing and inflammation study
Nature Immunology has issued an Author Correction for the 2022 paper on how pH sensing controls tissue inflammation by modulating cellular metabolism and endo-lysosomal function of immune cells. The correction is limited and technical, but it touches a part of the scientific record that matters: the numerical source data behind Extended Data Fig. 8d. In the initially published version, a copy–paste error affected the source data in the “KO” columns for the “LPS” and “LPS+pH6.8” conditions. The HTML and PDF versions have now been updated, and the original uncorrected figure is being retained as supplementary information for comparison.
The amendment does not introduce a new biological claim, a revised mechanistic model, or a different interpretation of the immune pathway under study. It does, however, restore fidelity between the displayed data and the underlying dataset in a paper whose central theme is mechanistically detailed. In work that links pH sensing to inflammatory behavior through cellular metabolism and endo-lysosomal function, even a localized error in a figure panel can affect how readers evaluate the robustness of the experimental structure.
One sentence captures the practical significance: the correction is narrow, but the data check was not optional.
Why a corrected figure panel matters in mechanistic immunology
Mechanistic immunology depends on a chain of evidence that runs from perturbation to phenotype to interpretation. When a paper examines how immune cells respond to acid-base changes and how that response influences tissue inflammation, readers lean on source data to verify that the stated patterns are visible in the experimental record. A copy–paste error in the KO columns of two conditions may not rewrite the paper’s conclusions, but it does require precise correction because figure panels often guide the first pass of scientific appraisal.
The underlying article, published online on 6 June 2022, focused on how pH sensing shapes inflammatory signaling through effects on immune-cell metabolism and endo-lysosomal function. That kind of biology sits at the intersection of environmental sensing, intracellular trafficking, and inflammatory output. Small inconsistencies in figure source material can create confusion for investigators who are trying to reproduce a pathway, compare knockout and control responses, or integrate the result into broader models of tissue inflammation.
The corrected material now appears in both HTML and PDF versions of the article. The original uncorrected Extended Data Fig. 8 is preserved as supplementary information, allowing readers to see exactly what changed. In the context of modern research publishing, that level of transparency is not ceremonial. It lets laboratory scientists trace the revision directly rather than infer it from a brief note or a silent file replacement.
LPS, pH 6.8, and the problem of mislabeled source data
The correction specifically involves the “KO” columns under “LPS” and “LPS+pH6.8” in Extended Data Fig. 8d. Those labels matter because they identify the genetic background and the stimulation condition attached to the dataset. LPS is a classic inflammatory stimulus used to probe innate immune activation, while the added pH 6.8 condition reflects the paper’s broader interest in acidic environments and how they alter immune-cell behavior.
A source-data error in this setting can affect the reader’s ability to track how a knockout condition behaves across stimulation states. It may not change the conceptual framework of the article, but it can still create friction for anyone reconstructing the experiment line by line. Researchers often use extended data to audit the main figures, compare replicates, and evaluate whether the displayed signal is supported by the underlying numerical record. When that support file contains a copy–paste mistake, correction is the right remedy even if the problem is isolated.
The correction also shows why extended data files are not peripheral. They are often the most exacting part of a paper’s evidence trail, especially in studies that bridge immunology, metabolism, and endo-lysosomal biology. Readers may come for the headline mechanism, but they depend on these files to judge whether the mechanism rests on a clean dataset.
Transparency, reproducibility, and the scientific record
Corrections of this sort are a routine but important part of scientific publishing. They preserve continuity between the published article and the data package that supports it. In this case, the journal has kept the correction explicit and visible, and the amended version now incorporates the revised figure source data directly into the article files.
The correction notice also names the same author team associated with the original paper, including corresponding author Ramnik J. Xavier. No new experiments, additional cohorts, or revised endpoints are introduced here. The action is limited to data integrity within a specific extended figure, which is exactly how a correction should function when the problem is technical rather than conceptual.
For readers in immunology, the broader lesson is straightforward. Papers that describe how environmental sensing affects inflammation often rest on complex comparisons across genotypes, conditions, and cellular readouts. When one of those comparisons is affected by a copy–paste error, the scientific obligation is to replace the flawed file, identify the affected panel, and retain the original version for auditability. That is what this amendment does.
What this correction does and does not change
This notice does not alter the paper’s subject matter, which remains the control of tissue inflammation through pH sensing, cellular metabolism, and endo-lysosomal function in immune cells. It does not report a new safety issue, a shift in effect direction, or a reinterpretation of the experimental mechanism. The corrected material is confined to a single extended-data panel and its source file.
The more consequential point lies elsewhere. High-resolution immunology papers are only as trustworthy as the data trail behind them, and Extended Data Fig. 8d is part of that trail. By correcting the figure and preserving the original version for comparison, the journal has made the revision traceable rather than invisible. For scientists building on the 2022 study, that transparency is the usable endpoint here: a clean record, an identified error, and a clarified figure set for future reference.