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Single cell transcriptomic analysis of prostate cancer cells
BACKGROUND: The ability to interrogate circulating tumor cells (CTC) and disseminated tumor cells (DTC) is restricted by the small number detected and isolated (typically <10). To determine if a commercially available technology could provide a transcriptomic profile of a single prostate cancer (...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599075/ https://www.ncbi.nlm.nih.gov/pubmed/23414343 http://dx.doi.org/10.1186/1471-2199-14-6 |
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author | Welty, Christopher J Coleman, Ilsa Coleman, Roger Lakely, Bryce Xia, Jing Chen, Shu Gulati, Roman Larson, Sandy R Lange, Paul H Montgomery, Bruce Nelson, Peter S Vessella, Robert L Morrissey, Colm |
author_facet | Welty, Christopher J Coleman, Ilsa Coleman, Roger Lakely, Bryce Xia, Jing Chen, Shu Gulati, Roman Larson, Sandy R Lange, Paul H Montgomery, Bruce Nelson, Peter S Vessella, Robert L Morrissey, Colm |
author_sort | Welty, Christopher J |
collection | PubMed |
description | BACKGROUND: The ability to interrogate circulating tumor cells (CTC) and disseminated tumor cells (DTC) is restricted by the small number detected and isolated (typically <10). To determine if a commercially available technology could provide a transcriptomic profile of a single prostate cancer (PCa) cell, we clonally selected and cultured a single passage of cell cycle synchronized C4-2B PCa cells. Ten sets of single, 5-, or 10-cells were isolated using a micromanipulator under direct visualization with an inverted microscope. Additionally, two groups of 10 individual DTC, each isolated from bone marrow of 2 patients with metastatic PCa were obtained. RNA was amplified using the WT-Ovation™ One-Direct Amplification System. The amplified material was hybridized on a 44K Whole Human Gene Expression Microarray. A high stringency threshold, a mean Alexa Fluor® 3 signal intensity above 300, was used for gene detection. Relative expression levels were validated for select genes using real-time PCR (RT-qPCR). RESULTS: Using this approach, 22,410, 20,423, and 17,009 probes were positive on the arrays from 10-cell pools, 5-cell pools, and single-cells, respectively. The sensitivity and specificity of gene detection on the single-cell analyses were 0.739 and 0.972 respectively when compared to 10-cell pools, and 0.814 and 0.979 respectively when compared to 5-cell pools, demonstrating a low false positive rate. Among 10,000 randomly selected pairs of genes, the Pearson correlation coefficient was 0.875 between the single-cell and 5-cell pools and 0.783 between the single-cell and 10-cell pools. As expected, abundant transcripts in the 5- and 10-cell samples were detected by RT-qPCR in the single-cell isolates, while lower abundance messages were not. Using the same stringency, 16,039 probes were positive on the patient single-cell arrays. Cluster analysis showed that all 10 DTC grouped together within each patient. CONCLUSIONS: A transcriptomic profile can be reliably obtained from a single cell using commercially available technology. As expected, fewer amplified genes are detected from a single-cell sample than from pooled-cell samples, however this method can be used to reliably obtain a transcriptomic profile from DTC isolated from the bone marrow of patients with PCa. |
format | Online Article Text |
id | pubmed-3599075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35990752013-03-17 Single cell transcriptomic analysis of prostate cancer cells Welty, Christopher J Coleman, Ilsa Coleman, Roger Lakely, Bryce Xia, Jing Chen, Shu Gulati, Roman Larson, Sandy R Lange, Paul H Montgomery, Bruce Nelson, Peter S Vessella, Robert L Morrissey, Colm BMC Mol Biol Methodology Article BACKGROUND: The ability to interrogate circulating tumor cells (CTC) and disseminated tumor cells (DTC) is restricted by the small number detected and isolated (typically <10). To determine if a commercially available technology could provide a transcriptomic profile of a single prostate cancer (PCa) cell, we clonally selected and cultured a single passage of cell cycle synchronized C4-2B PCa cells. Ten sets of single, 5-, or 10-cells were isolated using a micromanipulator under direct visualization with an inverted microscope. Additionally, two groups of 10 individual DTC, each isolated from bone marrow of 2 patients with metastatic PCa were obtained. RNA was amplified using the WT-Ovation™ One-Direct Amplification System. The amplified material was hybridized on a 44K Whole Human Gene Expression Microarray. A high stringency threshold, a mean Alexa Fluor® 3 signal intensity above 300, was used for gene detection. Relative expression levels were validated for select genes using real-time PCR (RT-qPCR). RESULTS: Using this approach, 22,410, 20,423, and 17,009 probes were positive on the arrays from 10-cell pools, 5-cell pools, and single-cells, respectively. The sensitivity and specificity of gene detection on the single-cell analyses were 0.739 and 0.972 respectively when compared to 10-cell pools, and 0.814 and 0.979 respectively when compared to 5-cell pools, demonstrating a low false positive rate. Among 10,000 randomly selected pairs of genes, the Pearson correlation coefficient was 0.875 between the single-cell and 5-cell pools and 0.783 between the single-cell and 10-cell pools. As expected, abundant transcripts in the 5- and 10-cell samples were detected by RT-qPCR in the single-cell isolates, while lower abundance messages were not. Using the same stringency, 16,039 probes were positive on the patient single-cell arrays. Cluster analysis showed that all 10 DTC grouped together within each patient. CONCLUSIONS: A transcriptomic profile can be reliably obtained from a single cell using commercially available technology. As expected, fewer amplified genes are detected from a single-cell sample than from pooled-cell samples, however this method can be used to reliably obtain a transcriptomic profile from DTC isolated from the bone marrow of patients with PCa. BioMed Central 2013-02-16 /pmc/articles/PMC3599075/ /pubmed/23414343 http://dx.doi.org/10.1186/1471-2199-14-6 Text en Copyright ©2013 Welty et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Welty, Christopher J Coleman, Ilsa Coleman, Roger Lakely, Bryce Xia, Jing Chen, Shu Gulati, Roman Larson, Sandy R Lange, Paul H Montgomery, Bruce Nelson, Peter S Vessella, Robert L Morrissey, Colm Single cell transcriptomic analysis of prostate cancer cells |
title | Single cell transcriptomic analysis of prostate cancer cells |
title_full | Single cell transcriptomic analysis of prostate cancer cells |
title_fullStr | Single cell transcriptomic analysis of prostate cancer cells |
title_full_unstemmed | Single cell transcriptomic analysis of prostate cancer cells |
title_short | Single cell transcriptomic analysis of prostate cancer cells |
title_sort | single cell transcriptomic analysis of prostate cancer cells |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599075/ https://www.ncbi.nlm.nih.gov/pubmed/23414343 http://dx.doi.org/10.1186/1471-2199-14-6 |
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