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Cited by 285

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Estimation of immune cell content in tumour tissue using single-cell RNA-seq data

Open access
Schelker, Max, Feau, Sonia, Du, Jinyan, Ranu, Nav, Klipp, Edda, MacBeath, Gavin, Schoeberl, Birgit, Raue, Andreas·2017·Nature Communications

Abstract

As interactions between the immune system and tumour cells are governed by a complex network of cell–cell interactions, knowing the specific immune cell composition of a solid tumour may be essential to predict a patient’s response to immunotherapy. Here, we analyse in depth how to derive the cellular composition of a solid tumour from bulk gene expression data by mathematical deconvolution, using indication-specific and cell type-specific reference gene expression profiles (RGEPs) from tumour-derived single-cell RNA sequencing data. We demonstrate that tumour-derived RGEPs are essential for the successful deconvolution and that RGEPs from peripheral blood are insufficient. We distinguish nine major cell types, as well as three T cell subtypes. Using the tumour-derived RGEPs, we can estimate the content of many tumours associated immune and stromal cell types, their therapeutically relevant ratios, as well as an improved gene expression profile of the malignant cells.

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Metadata

Authors
Schelker, M., Feau, S., Du, J., Ranu, N., Klipp, E., MacBeath, G., Schoeberl, B., & Raue, A.
Venue
Nature Communications
Published
2017-12-11
Volume
8
Issue
1
Pages
2032-2032
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2950779253
Cited by
285
References
8
FWCI
9.90
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Estimation of immune cell content in tumour tissue using single-cell RNA-seq data. https://app.cochat.ai/papers/10.1038/s41467-017-02289-3
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Schelker, M., Feau, S., Du, J., Ranu, N., Klipp, E., MacBeath, G., Schoeberl, B., & Raue, A. (2017). Estimation of immune cell content in tumour tissue using single-cell RNA-seq data. Nature Communications. https://doi.org/10.1038/s41467-017-02289-3

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