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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 (...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
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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.
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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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