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Open Access

Erratum to: Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

  • Etienne Becht1, 2, 3, 4,
  • Nicolas A. Giraldo1, 2, 3,
  • Laetitia Lacroix1, 2, 3,
  • Bénédicte Buttard1, 2, 3,
  • Nabila Elarouci4,
  • Florent Petitprez1, 2, 3, 4,
  • Janick Selves5, 6,
  • Pierre Laurent-Puig7,
  • Catherine Sautès-Fridman1, 2, 3,
  • Wolf H. Fridman1, 2, 3 and
  • Aurélien de Reyniès4Email author
Contributed equally
Genome Biology201617:249

https://doi.org/10.1186/s13059-016-1113-y

Received: 20 November 2016

Accepted: 20 November 2016

Published: 1 December 2016

The original article was published in Genome Biology 2016 17:218

Erratum

After the publication of this work [1] it was noticed that the legend of Fig. 1a was incorrect. The correct legend should read: Flowchart of MCP-counter’s development and validation. It was also noted that in Fig. 2c the name of the last two genes was partially removed. The horizontal lines that were delineating the specificity of the displayed genes are missing. The corrected Fig. 2c is noted below.
Figure 1
Fig. 2

Identification and qualitative validation of transcriptomic markers. a The MCP discovery series. pDC plasmacytoid dendritic cell, PBMC peripheral blood mononuclear cell. b Quartiles of MCP-counter scores on positive and control samples in the discovery and validation microenvironment series. Gray indicates missing values. c Representative transcriptomic markers and their corresponding expression patterns in the MCP discovery series

The equal contributors symbol was missing for authors Aurélien de Reyniès and Wolf H. Fridman. This has now been corrected.

In the PDF version of the article, equation 5 in the section ‘Correlation profiles of TM in microenvironment and tumor datasets’ is incorrect. Please see the correct equation below:
$$ {\uppi}_{\mathrm{k},\mathrm{j}}=\frac{{\mathrm{f}}_{\mathrm{S},\mathrm{j}}}{{\mathrm{f}}_k}=\frac{{\mathrm{g}}_{S,j}}{{\mathrm{g}}_k} $$
(5)

The publisher apologises for these errors.

Notes

Declarations

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
INSERM UMR_S 1138, Cancer, Immune Control and Escape, Cordeliers Research Centre, Paris, France
(2)
Université Paris Descartes, Paris, France
(3)
Université Pierre et Marie Curie, Paris, France
(4)
Programme Cartes d’Identité des Tumeurs, Ligue Nationale Contre le Cancer, Paris, France
(5)
Centre de Recherche en Cancérologie de Toulouse, Unité Mixte de Recherche, Toulouse, France
(6)
Department of Pathology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
(7)
INSERM, UMR_S1147, Paris, France

Reference

  1. Becht E, Giraldo NA, Lacroix L, Buttard B, Elarouci N, Petitprez F, et al. Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression. Genome Biol. 2016;17:218.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2016

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