It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
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.
Through analyses of olfactory receptors in single-cell RNA sequencing dataset from different cancers, Kalra, Mittal et al. find that the number and expression levels of olfactory receptors vary by differentiation status. The study provides insights into an under-appreciated role for olfactory receptors in cancer pathogenesis.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details



1 Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India (GRID:grid.454294.a) (ISNI:0000 0004 1773 2689)
2 Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India (GRID:grid.454294.a) (ISNI:0000 0004 1773 2689); Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India (GRID:grid.454294.a) (ISNI:0000 0004 1773 2689)
3 Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India (GRID:grid.454294.a) (ISNI:0000 0004 1773 2689)
4 Pathfinder Research and Training Foundation, 30/7 and 8, Greater Noida, India (GRID:grid.454294.a)
5 Center for Biomedical Engineering, Indian Institute of Technology Ropar, Bara Phool, Rupnagar, India (GRID:grid.462391.b) (ISNI:0000 0004 1769 8011)
6 Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India (GRID:grid.454294.a) (ISNI:0000 0004 1773 2689); Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India (GRID:grid.454294.a) (ISNI:0000 0004 1773 2689); Centre for Artificial Intelligence, Indraprastha Institute of Information Technology, New Delhi, India (GRID:grid.454294.a) (ISNI:0000 0004 1773 2689); Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000000089150953)