Cited by 67SARS-CoV-2 and COVID-19 ResearchMonoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Longitudinal Isolation of Potent Near-Germline SARS-CoV-2-Neutralizing Antibodies from COVID-19 Patients

Open access
Kreer, Christoph, Zehner, Matthias, Weber, Timm, Ercanoglu, Meryem S., Gieselmann, Lutz, Rohde, Cornelius, Halwe, Sandro, Korenkov, Michael +20 more·2020·Cell

Abstract

(Cell 182, 843–854.e1–e12; August 20, 2020) We discovered that values for 2 out of 79 antibodies have unfortunately been wrongly reported. For antibody FnC1t1p2_A5, the IC100 is 50 μg/mL instead of 16 μg/mL; for antibody CnC2t1p1_B10, the IC100 is >100 μg/mL instead of 12.5 μg/mL. For the latter antibody, binding characteristics were also corrected. As a consequence, the total number of neutralizing antibodies reported is 27 instead of 28. Changes affect Figures 3, 4, S3, S4, and S5, Tables S3 and S4, and text on pages 1, 3, 5, and 7. Importantly, the corrections have no impact on the conclusions in this paper. We apologize for any inconvenience that may have been caused by this error.Figure 3Infected individuals can develop potent near-germline SARS-CoV-2-neutralizing antibodies that preferentially bind to the S-protein RBD (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure 4Dynamics of somatic mutations for SARS-CoV-2-specific antibodies (corrected)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure 4Dynamics of somatic mutations for SARS-CoV-2-specific antibodies (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S3Correlation of binding and neutralization with VH gene characteristics (corrected)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S3Correlation of binding and neutralization with VH gene characteristics (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S4VL gene distribution in non-neutralizing and neutralizing antibodies (corrected)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S4VL gene distribution in non-neutralizing and neutralizing antibodies (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S5Autoreactivity of selected SARS-CoV-2-binding and -neutralizing antibodies (corrected)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S5Autoreactivity of selected SARS-CoV-2-binding and -neutralizing antibodies (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT) Longitudinal Isolation of Potent Near-Germline SARS-CoV-2-Neutralizing Antibodies from COVID-19 PatientsKreer et al.CellJuly 7, 2020In BriefIn a longitudinal analysis of SARS-CoV-2-infected people, Kreer et al. find highly potent neutralizing antibodies that use a broad spectrum of variable (V) genes and show low levels of somatic mutations. They also identify potential precursor sequences of these SARS-CoV-2-neutralizing antibodies from virus-naive individuals, sampled before the COVID-19 pandemic. This could indicate that neutralizing antibodies can be readily generated from existing germline antibody sequences found in the general population. Full-Text PDF Open Access

Integrity signals

Registry

Crossref · 10.1016/j.cell.2020.08.046

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cites

Still being checked.

Cited by

Sorted by citations

Authors
Kreer, C., Zehner, M., Weber, T., Ercanoglu, M. S., Gieselmann, L., Rohde, C., Halwe, S., Korenkov, M., Schommers, P., Vanshylla, K., Di Cristanziano, V., Janicki, H., Brinker, R., Ashurov, A., Krähling, V., Kupke, A., Cohen-Dvashi, H., Koch, M., Eckert, J. M., Lederer, S., Pfeifer, N., Wolf, T., Vehreschild, M. J. G. T., Wendtner, C., Diskin, R., Gruell, H., Becker, S., & Klein, F.
Affiliations
  • University of Cologne (DE)
  • München Klinik Bogenhausen (DE)
Corresponding author
Klein, Florian
Venue
Cell
Publisher
Elsevier BV
Published
2020-09
Volume
182
Issue
6
Pages
1663-1673
ISSN
0092-8674 (ISSN-L)
OpenAlex
W3092610091
Cited by
67
References
0
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 5 · 2022: 17 · 2021: 26 · 2020: 10
FWCI
1.90
Type
journal article
Language
en
Open access
Locations
Cell (publishedVersion, cc-by-nc-nd)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
Keywords
COVID-19 pandemic, neutralizing antibodies, somatic hypermutation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review