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Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq

Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype. However, the in situ dynamics of the transcriptional reprogramming un...

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Autores principales: Song, Qianqian, Hawkins, Gregory A., Wudel, Leonard, Chou, Ping‐Chieh, Forbes, Elizabeth, Pullikuth, Ashok K., Liu, Liang, Jin, Guangxu, Craddock, Lou, Topaloglu, Umit, Kucera, Gregory, O’Neill, Stacey, Levine, Edward A., Sun, Peiqing, Watabe, Kounosuke, Lu, Yong, Alexander‐Miller, Martha A., Pasche, Boris, Miller, Lance D., Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558497/
https://www.ncbi.nlm.nih.gov/pubmed/31033233
http://dx.doi.org/10.1002/cam4.2113
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author Song, Qianqian
Hawkins, Gregory A.
Wudel, Leonard
Chou, Ping‐Chieh
Forbes, Elizabeth
Pullikuth, Ashok K.
Liu, Liang
Jin, Guangxu
Craddock, Lou
Topaloglu, Umit
Kucera, Gregory
O’Neill, Stacey
Levine, Edward A.
Sun, Peiqing
Watabe, Kounosuke
Lu, Yong
Alexander‐Miller, Martha A.
Pasche, Boris
Miller, Lance D.
Zhang, Wei
author_facet Song, Qianqian
Hawkins, Gregory A.
Wudel, Leonard
Chou, Ping‐Chieh
Forbes, Elizabeth
Pullikuth, Ashok K.
Liu, Liang
Jin, Guangxu
Craddock, Lou
Topaloglu, Umit
Kucera, Gregory
O’Neill, Stacey
Levine, Edward A.
Sun, Peiqing
Watabe, Kounosuke
Lu, Yong
Alexander‐Miller, Martha A.
Pasche, Boris
Miller, Lance D.
Zhang, Wei
author_sort Song, Qianqian
collection PubMed
description Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype. However, the in situ dynamics of the transcriptional reprogramming underlying this process are poorly understood. Therefore, we applied single cell RNA‐seq (scRNA‐seq) to computationally investigate the cellular composition and transcriptional dynamics of tumor and adjacent normal tissues from 4 early‐stage non‐small cell lung cancer (NSCLC) patients. Our scRNA‐seq analyses identified 11 485 cells that varied in identity and gene expression traits between normal and tumor tissues. Among these, myeloid cell populations exhibited the most diverse changes between tumor and normal tissues, consistent with tumor‐mediated reprogramming. Through trajectory analysis, we identified a differentiation path from CD14+ monocytes to M2 macrophages (monocyte‐to‐M2). This differentiation path was reproducible across patients, accompanied by increased expression of genes (eg, MRC1/CD206, MSR1/CD204, PPARG, TREM2) with significantly enriched functions (Oxidative phosphorylation and P53 pathway) and decreased expression of genes (eg, CXCL2, IL1B) with significantly enriched functions (TNF‐α signaling via NF‐κB and inflammatory response). Our analysis further identified a co‐regulatory network implicating upstream transcription factors (JUN, NFKBIA) in monocyte‐to‐M2 differentiation, and activated ligand‐receptor interactions (eg, SFTPA1‐TLR2, ICAM1‐ITGAM) suggesting intratumoral mechanisms whereby epithelial cells stimulate monocyte‐to‐M2 differentiation. Overall, our study identified the prevalent monocyte‐to‐M2 differentiation in NSCLC, accompanied by an intricate transcriptional reprogramming mediated by specific transcriptional activators and intercellular crosstalk involving ligand‐receptor interactions.
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spelling pubmed-65584972019-06-13 Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq Song, Qianqian Hawkins, Gregory A. Wudel, Leonard Chou, Ping‐Chieh Forbes, Elizabeth Pullikuth, Ashok K. Liu, Liang Jin, Guangxu Craddock, Lou Topaloglu, Umit Kucera, Gregory O’Neill, Stacey Levine, Edward A. Sun, Peiqing Watabe, Kounosuke Lu, Yong Alexander‐Miller, Martha A. Pasche, Boris Miller, Lance D. Zhang, Wei Cancer Med Cancer Biology Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype. However, the in situ dynamics of the transcriptional reprogramming underlying this process are poorly understood. Therefore, we applied single cell RNA‐seq (scRNA‐seq) to computationally investigate the cellular composition and transcriptional dynamics of tumor and adjacent normal tissues from 4 early‐stage non‐small cell lung cancer (NSCLC) patients. Our scRNA‐seq analyses identified 11 485 cells that varied in identity and gene expression traits between normal and tumor tissues. Among these, myeloid cell populations exhibited the most diverse changes between tumor and normal tissues, consistent with tumor‐mediated reprogramming. Through trajectory analysis, we identified a differentiation path from CD14+ monocytes to M2 macrophages (monocyte‐to‐M2). This differentiation path was reproducible across patients, accompanied by increased expression of genes (eg, MRC1/CD206, MSR1/CD204, PPARG, TREM2) with significantly enriched functions (Oxidative phosphorylation and P53 pathway) and decreased expression of genes (eg, CXCL2, IL1B) with significantly enriched functions (TNF‐α signaling via NF‐κB and inflammatory response). Our analysis further identified a co‐regulatory network implicating upstream transcription factors (JUN, NFKBIA) in monocyte‐to‐M2 differentiation, and activated ligand‐receptor interactions (eg, SFTPA1‐TLR2, ICAM1‐ITGAM) suggesting intratumoral mechanisms whereby epithelial cells stimulate monocyte‐to‐M2 differentiation. Overall, our study identified the prevalent monocyte‐to‐M2 differentiation in NSCLC, accompanied by an intricate transcriptional reprogramming mediated by specific transcriptional activators and intercellular crosstalk involving ligand‐receptor interactions. John Wiley and Sons Inc. 2019-04-29 /pmc/articles/PMC6558497/ /pubmed/31033233 http://dx.doi.org/10.1002/cam4.2113 Text en © 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Biology
Song, Qianqian
Hawkins, Gregory A.
Wudel, Leonard
Chou, Ping‐Chieh
Forbes, Elizabeth
Pullikuth, Ashok K.
Liu, Liang
Jin, Guangxu
Craddock, Lou
Topaloglu, Umit
Kucera, Gregory
O’Neill, Stacey
Levine, Edward A.
Sun, Peiqing
Watabe, Kounosuke
Lu, Yong
Alexander‐Miller, Martha A.
Pasche, Boris
Miller, Lance D.
Zhang, Wei
Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
title Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
title_full Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
title_fullStr Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
title_full_unstemmed Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
title_short Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
title_sort dissecting intratumoral myeloid cell plasticity by single cell rna‐seq
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558497/
https://www.ncbi.nlm.nih.gov/pubmed/31033233
http://dx.doi.org/10.1002/cam4.2113
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