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Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis
Ectopically expressed olfactory receptors (ORs) have been linked with multiple clinically-relevant physiological processes. Previously used tissue-level expression estimation largely shadowed the potential role of ORs due to their overall low expression levels. Even after the introduction of the sin...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486295/ https://www.ncbi.nlm.nih.gov/pubmed/32917933 http://dx.doi.org/10.1038/s42003-020-01232-5 |
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author | Kalra, Siddhant Mittal, Aayushi Gupta, Krishan Singhal, Vrinda Gupta, Anku Mishra, Tripti Naidu, Srivatsava Sengupta, Debarka Ahuja, Gaurav |
author_facet | Kalra, Siddhant Mittal, Aayushi Gupta, Krishan Singhal, Vrinda Gupta, Anku Mishra, Tripti Naidu, Srivatsava Sengupta, Debarka Ahuja, Gaurav |
author_sort | Kalra, Siddhant |
collection | PubMed |
description | Ectopically expressed olfactory receptors (ORs) have been linked with multiple clinically-relevant physiological processes. Previously used tissue-level expression estimation largely shadowed the potential role of ORs due to their overall low expression levels. Even after the introduction of the single-cell transcriptomics, a comprehensive delineation of expression dynamics of ORs in tumors remained unexplored. Our targeted investigation into single malignant cells revealed a complex landscape of combinatorial OR expression events. We observed differentiation-dependent decline in expressed OR counts per cell as well as their expression intensities in malignant cells. Further, we constructed expression signatures based on a large spectrum of ORs and tracked their enrichment in bulk expression profiles of tumor samples from The Cancer Genome Atlas (TCGA). TCGA tumor samples stratified based on OR-centric signatures exhibited divergent survival probabilities. In summary, our comprehensive analysis positions ORs at the cross-road of tumor cell differentiation status and cancer prognosis. |
format | Online Article Text |
id | pubmed-7486295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74862952020-09-21 Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis Kalra, Siddhant Mittal, Aayushi Gupta, Krishan Singhal, Vrinda Gupta, Anku Mishra, Tripti Naidu, Srivatsava Sengupta, Debarka Ahuja, Gaurav Commun Biol Article Ectopically expressed olfactory receptors (ORs) have been linked with multiple clinically-relevant physiological processes. Previously used tissue-level expression estimation largely shadowed the potential role of ORs due to their overall low expression levels. Even after the introduction of the single-cell transcriptomics, a comprehensive delineation of expression dynamics of ORs in tumors remained unexplored. Our targeted investigation into single malignant cells revealed a complex landscape of combinatorial OR expression events. We observed differentiation-dependent decline in expressed OR counts per cell as well as their expression intensities in malignant cells. Further, we constructed expression signatures based on a large spectrum of ORs and tracked their enrichment in bulk expression profiles of tumor samples from The Cancer Genome Atlas (TCGA). TCGA tumor samples stratified based on OR-centric signatures exhibited divergent survival probabilities. In summary, our comprehensive analysis positions ORs at the cross-road of tumor cell differentiation status and cancer prognosis. Nature Publishing Group UK 2020-09-11 /pmc/articles/PMC7486295/ /pubmed/32917933 http://dx.doi.org/10.1038/s42003-020-01232-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kalra, Siddhant Mittal, Aayushi Gupta, Krishan Singhal, Vrinda Gupta, Anku Mishra, Tripti Naidu, Srivatsava Sengupta, Debarka Ahuja, Gaurav Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis |
title | Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis |
title_full | Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis |
title_fullStr | Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis |
title_full_unstemmed | Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis |
title_short | Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis |
title_sort | analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486295/ https://www.ncbi.nlm.nih.gov/pubmed/32917933 http://dx.doi.org/10.1038/s42003-020-01232-5 |
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